pax_global_header00006660000000000000000000000064147635652620014532gustar00rootroot0000000000000052 comment=392886c273657efa5f685f080cf5e421b864cf29 humanloop-node-0.8.16/000077500000000000000000000000001476356526200145535ustar00rootroot00000000000000humanloop-node-0.8.16/.fernignore000066400000000000000000000006251476356526200167150ustar00rootroot00000000000000# Specify files that shouldn't be modified by Fern # Custom code src/otel src/evals src/decorators src/index.ts src/humanloop.client.ts src/overload.ts src/error.ts src/context.ts # Tests # Modified due to issues with OTEL tests/unit/fetcher/stream-wrappers/webpack.test.ts # CI Action .github/workflows/ci.yml # Config files .prettierrc.yml .prettierignore .gitignore # Package Scripts scripts humanloop-node-0.8.16/.github/000077500000000000000000000000001476356526200161135ustar00rootroot00000000000000humanloop-node-0.8.16/.github/workflows/000077500000000000000000000000001476356526200201505ustar00rootroot00000000000000humanloop-node-0.8.16/.github/workflows/ci.yml000066400000000000000000000036231476356526200212720ustar00rootroot00000000000000name: ci on: [push] jobs: compile: runs-on: ubuntu-latest steps: - name: Checkout repo uses: actions/checkout@v3 - name: Set up node uses: actions/setup-node@v3 with: node-version: "22.12.0" - name: Compile run: yarn && yarn build test: runs-on: ubuntu-latest steps: - name: Checkout repo uses: actions/checkout@v3 - name: Set up node uses: actions/setup-node@v3 with: node-version: "22.12.0" - name: Compile run: yarn && yarn test env: OPENAI_KEY: ${{ secrets.OPENAI_KEY }} ANTHROPIC_KEY: ${{ secrets.ANTHROPIC_KEY }} COHERE_KEY: ${{ secrets.COHERE_KEY }} publish: needs: [compile, test] if: github.event_name == 'push' && contains(github.ref, 'refs/tags/') runs-on: ubuntu-latest steps: - name: Checkout repo uses: actions/checkout@v3 - name: Set up node uses: actions/setup-node@v3 with: node-version: "22.12.0" - name: Install dependencies run: yarn install - name: Build run: yarn build - name: Publish to npm run: | npm config set //registry.npmjs.org/:_authToken ${NPM_TOKEN} if [[ ${GITHUB_REF} == *alpha* ]]; then npm publish --access public --tag alpha elif [[ ${GITHUB_REF} == *beta* ]]; then npm publish --access public --tag beta else npm publish --access public fi env: NPM_TOKEN: ${{ secrets.NPM_TOKEN }} humanloop-node-0.8.16/.gitignore000066400000000000000000000000411476356526200165360ustar00rootroot00000000000000node_modules .DS_Store /dist .envhumanloop-node-0.8.16/.npmignore000066400000000000000000000001351476356526200165510ustar00rootroot00000000000000node_modules src tests .gitignore .github .fernignore .prettierrc.yml tsconfig.json yarn.lockhumanloop-node-0.8.16/.prettierignore000066400000000000000000000001431476356526200176140ustar00rootroot00000000000000src/api/* src/core/* src/errors/* src/serialization/* Client.ts environment.ts index.ts version.tshumanloop-node-0.8.16/.prettierrc.yml000066400000000000000000000004101476356526200175320ustar00rootroot00000000000000tabWidth: 4 printWidth: 88 semi: true importOrderSeparation: true importOrderSortSpecifiers: true importOrderGroupNamespaceSpecifiers: true importOrder: ["", "^[./]"] trailingComma: "all" plugins: - "@trivago/prettier-plugin-sort-imports" humanloop-node-0.8.16/README.md000066400000000000000000000141441476356526200160360ustar00rootroot00000000000000# Humanloop TypeScript Library [![fern shield](https://img.shields.io/badge/%F0%9F%8C%BF-Built%20with%20Fern-brightgreen)](https://buildwithfern.com?utm_source=github&utm_medium=github&utm_campaign=readme&utm_source=https%3A%2F%2Fgithub.com%2Fhumanloop%2Fhumanloop-node) [![npm shield](https://img.shields.io/npm/v/humanloop)](https://www.npmjs.com/package/humanloop) The Humanloop TypeScript library provides convenient access to the Humanloop API from TypeScript. ## Installation ```sh npm i -s humanloop ``` ## Reference A full reference for this library is available [here](./reference.md). ## Usage Instantiate and use the client with the following: ```typescript import { HumanloopClient } from "humanloop"; const client = new HumanloopClient({ apiKey: "YOUR_API_KEY" }); await client.prompts.log({ path: "persona", prompt: { model: "gpt-4", template: [ { role: "system", content: "You are {{person}}. Answer questions as this person. Do not break character.", }, ], }, messages: [ { role: "user", content: "What really happened at Roswell?", }, ], inputs: { person: "Trump", }, createdAt: "2024-07-19T00:29:35.178992", error: undefined, providerLatency: 6.5931549072265625, outputMessage: { content: "Well, you know, there is so much secrecy involved in government, folks, it's unbelievable. They don't want to tell you everything. They don't tell me everything! But about Roswell, it's a very popular question. I know, I just know, that something very, very peculiar happened there. Was it a weather balloon? Maybe. Was it something extraterrestrial? Could be. I'd love to go down and open up all the classified documents, believe me, I would. But they don't let that happen. The Deep State, folks, the Deep State. They're unbelievable. They want to keep everything a secret. But whatever the truth is, I can tell you this: it's something big, very very big. Tremendous, in fact.", role: "assistant", }, promptTokens: 100, outputTokens: 220, promptCost: 0.00001, outputCost: 0.0002, finishReason: "stop", }); ``` ## Request And Response Types The SDK exports all request and response types as TypeScript interfaces. Simply import them with the following namespace: ```typescript import { Humanloop } from "humanloop"; const request: Humanloop.PromptLogRequest = { ... }; ``` ## Exception Handling When the API returns a non-success status code (4xx or 5xx response), a subclass of the following error will be thrown. ```typescript import { HumanloopError } from "humanloop"; try { await client.prompts.log(...); } catch (err) { if (err instanceof HumanloopError) { console.log(err.statusCode); console.log(err.message); console.log(err.body); } } ``` ## Pagination List endpoints are paginated. The SDK provides an iterator so that you can simply loop over the items: ```typescript import { HumanloopClient } from "humanloop"; const client = new HumanloopClient({ apiKey: "YOUR_API_KEY" }); const response = await client.prompts.list({ size: 1, }); for await (const item of response) { console.log(item); } // Or you can manually iterate page-by-page const page = await client.prompts.list({ size: 1, }); while (page.hasNextPage()) { page = page.getNextPage(); } ``` ## Advanced ### Additional Headers If you would like to send additional headers as part of the request, use the `headers` request option. ```typescript const response = await client.prompts.log(..., { headers: { 'X-Custom-Header': 'custom value' } }); ``` ### Retries The SDK is instrumented with automatic retries with exponential backoff. A request will be retried as long as the request is deemed retryable and the number of retry attempts has not grown larger than the configured retry limit (default: 2). A request is deemed retryable when any of the following HTTP status codes is returned: - [408](https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/408) (Timeout) - [429](https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/429) (Too Many Requests) - [5XX](https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/500) (Internal Server Errors) Use the `maxRetries` request option to configure this behavior. ```typescript const response = await client.prompts.log(..., { maxRetries: 0 // override maxRetries at the request level }); ``` ### Timeouts The SDK defaults to a 60 second timeout. Use the `timeoutInSeconds` option to configure this behavior. ```typescript const response = await client.prompts.log(..., { timeoutInSeconds: 30 // override timeout to 30s }); ``` ### Aborting Requests The SDK allows users to abort requests at any point by passing in an abort signal. ```typescript const controller = new AbortController(); const response = await client.prompts.log(..., { abortSignal: controller.signal }); controller.abort(); // aborts the request ``` ### Runtime Compatibility The SDK defaults to `node-fetch` but will use the global fetch client if present. The SDK works in the following runtimes: - Node.js 18+ - Vercel - Cloudflare Workers - Deno v1.25+ - Bun 1.0+ - React Native ### Customizing Fetch Client The SDK provides a way for your to customize the underlying HTTP client / Fetch function. If you're running in an unsupported environment, this provides a way for you to break glass and ensure the SDK works. ```typescript import { HumanloopClient } from "humanloop"; const client = new HumanloopClient({ ... fetcher: // provide your implementation here }); ``` ## Contributing While we value open-source contributions to this SDK, this library is generated programmatically. Additions made directly to this library would have to be moved over to our generation code, otherwise they would be overwritten upon the next generated release. Feel free to open a PR as a proof of concept, but know that we will not be able to merge it as-is. We suggest opening an issue first to discuss with us! On the other hand, contributions to the README are always very welcome! humanloop-node-0.8.16/jest.config.mjs000066400000000000000000000002471476356526200175020ustar00rootroot00000000000000/** @type {import('jest').Config} */ export default { preset: "ts-jest", testEnvironment: "node", moduleNameMapper: { "(.+)\.js$": "$1", }, }; humanloop-node-0.8.16/package.json000066400000000000000000000040451476356526200170440ustar00rootroot00000000000000{ "name": "humanloop", "version": "0.8.16", "private": false, "repository": "https://github.com/humanloop/humanloop-node", "main": "./index.js", "types": "./index.d.ts", "scripts": { "format": "prettier . --write --ignore-unknown", "build": "tsc", "prepack": "cp -rv dist/. .", "test": "jest" }, "dependencies": { "@opentelemetry/api": "^1.9.0", "@opentelemetry/auto-instrumentations-node": "^0.53.0", "@opentelemetry/context-async-hooks": "^1.30.1", "@opentelemetry/sdk-metrics": "^1.28.0", "@opentelemetry/sdk-node": "^0.55.0", "@opentelemetry/sdk-trace-node": "^1.28.0", "@traceloop/ai-semantic-conventions": "^0.11.6", "@traceloop/instrumentation-anthropic": "^0.11.1", "@traceloop/instrumentation-cohere": "^0.11.1", "@traceloop/instrumentation-openai": "^0.11.3", "cli-progress": "^3.12.0", "form-data": "^4.0.0", "form-data-encoder": "^4.0.2", "formdata-node": "^6.0.3", "lodash": "^4.17.21", "node-fetch": "^2.7.0", "qs": "^6.13.1", "readable-stream": "^4.5.2", "url-join": "4.0.1" }, "devDependencies": { "@types/url-join": "4.0.1", "@types/qs": "^6.9.17", "@types/node-fetch": "^2.6.12", "@types/readable-stream": "^4.0.18", "webpack": "^5.97.1", "ts-loader": "^9.5.1", "jest": "^29.7.0", "@types/jest": "^29.5.14", "ts-jest": "^29.1.1", "jest-environment-jsdom": "^29.7.0", "@types/node": "^18.19.70", "prettier": "^3.4.2", "typescript": "~5.7.2", "openai": "^4.74.0", "@anthropic-ai/sdk": "^0.32.1", "cohere-ai": "^7.15.0", "dotenv": "^16.4.6", "jsonschema": "^1.4.1", "@types/cli-progress": "^3.11.6", "@types/lodash": "4.14.74", "@trivago/prettier-plugin-sort-imports": "^4.3.0" }, "browser": { "fs": false, "os": false, "path": false } } humanloop-node-0.8.16/reference.md000066400000000000000000002542511476356526200170440ustar00rootroot00000000000000# Reference ## Prompts
client.prompts.log({ ...params }) -> Humanloop.CreatePromptLogResponse
#### 📝 Description
Log to a Prompt. You can use query parameters `version_id`, or `environment`, to target an existing version of the Prompt. Otherwise, the default deployed version will be chosen. Instead of targeting an existing version explicitly, you can instead pass in Prompt details in the request body. In this case, we will check if the details correspond to an existing version of the Prompt. If they do not, we will create a new version. This is helpful in the case where you are storing or deriving your Prompt details in code.
#### 🔌 Usage
```typescript await client.prompts.log({ path: "persona", prompt: { model: "gpt-4", template: [ { role: "system", content: "You are {{person}}. Answer questions as this person. Do not break character.", }, ], }, messages: [ { role: "user", content: "What really happened at Roswell?", }, ], inputs: { person: "Trump", }, createdAt: "2024-07-19T00:29:35.178992", error: undefined, providerLatency: 6.5931549072265625, outputMessage: { content: "Well, you know, there is so much secrecy involved in government, folks, it's unbelievable. They don't want to tell you everything. They don't tell me everything! But about Roswell, it's a very popular question. I know, I just know, that something very, very peculiar happened there. Was it a weather balloon? Maybe. Was it something extraterrestrial? Could be. I'd love to go down and open up all the classified documents, believe me, I would. But they don't let that happen. The Deep State, folks, the Deep State. They're unbelievable. They want to keep everything a secret. But whatever the truth is, I can tell you this: it's something big, very very big. Tremendous, in fact.", role: "assistant", }, promptTokens: 100, outputTokens: 220, promptCost: 0.00001, outputCost: 0.0002, finishReason: "stop", }); ```
#### ⚙️ Parameters
**request:** `Humanloop.PromptLogRequest`
**requestOptions:** `Prompts.RequestOptions`
client.prompts.updateLog(id, logId, { ...params }) -> Humanloop.LogResponse
#### 📝 Description
Update a Log. Update the details of a Log with the given ID.
#### 🔌 Usage
```typescript await client.prompts.updateLog("id", "log_id"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Prompt.
**logId:** `string` — Unique identifier for the Log.
**request:** `Humanloop.PromptLogUpdateRequest`
**requestOptions:** `Prompts.RequestOptions`
client.prompts.callStream({ ...params }) -> core.Stream
#### 📝 Description
Call a Prompt. Calling a Prompt calls the model provider before logging the request, responses and metadata to Humanloop. You can use query parameters `version_id`, or `environment`, to target an existing version of the Prompt. Otherwise the default deployed version will be chosen. Instead of targeting an existing version explicitly, you can instead pass in Prompt details in the request body. In this case, we will check if the details correspond to an existing version of the Prompt. If they do not, we will create a new version. This is helpful in the case where you are storing or deriving your Prompt details in code.
#### 🔌 Usage
```typescript const response = await client.prompts.callStream({}); for await (const item of response) { console.log(item); } ```
#### ⚙️ Parameters
**request:** `Humanloop.PromptsCallStreamRequest`
**requestOptions:** `Prompts.RequestOptions`
client.prompts.call({ ...params }) -> Humanloop.PromptCallResponse
#### 📝 Description
Call a Prompt. Calling a Prompt calls the model provider before logging the request, responses and metadata to Humanloop. You can use query parameters `version_id`, or `environment`, to target an existing version of the Prompt. Otherwise the default deployed version will be chosen. Instead of targeting an existing version explicitly, you can instead pass in Prompt details in the request body. In this case, we will check if the details correspond to an existing version of the Prompt. If they do not, we will create a new version. This is helpful in the case where you are storing or deriving your Prompt details in code.
#### 🔌 Usage
```typescript await client.prompts.call({ path: "persona", prompt: { model: "gpt-4", template: [ { role: "system", content: "You are stockbot. Return latest prices.", }, ], tools: [ { name: "get_stock_price", description: "Get current stock price", parameters: { type: "object", properties: { ticker_symbol: { type: "string", name: "Ticker Symbol", description: "Ticker symbol of the stock", }, }, required: [], }, }, ], }, messages: [ { role: "user", content: "latest apple", }, ], }); ```
#### ⚙️ Parameters
**request:** `Humanloop.PromptsCallRequest`
**requestOptions:** `Prompts.RequestOptions`
client.prompts.list({ ...params }) -> core.Page
#### 📝 Description
Get a list of all Prompts.
#### 🔌 Usage
```typescript const response = await client.prompts.list({ size: 1, }); for await (const item of response) { console.log(item); } // Or you can manually iterate page-by-page const page = await client.prompts.list({ size: 1, }); while (page.hasNextPage()) { page = page.getNextPage(); } ```
#### ⚙️ Parameters
**request:** `Humanloop.ListPromptsGetRequest`
**requestOptions:** `Prompts.RequestOptions`
client.prompts.upsert({ ...params }) -> Humanloop.PromptResponse
#### 📝 Description
Create a Prompt or update it with a new version if it already exists. Prompts are identified by the `ID` or their `path`. The parameters (i.e. the prompt template, temperature, model etc.) determine the versions of the Prompt. If you provide a commit message, then the new version will be committed; otherwise it will be uncommitted. If you try to commit an already committed version, an exception will be raised.
#### 🔌 Usage
```typescript await client.prompts.upsert({ path: "Personal Projects/Coding Assistant", model: "gpt-4o", endpoint: "chat", template: [ { content: "You are a helpful coding assistant specialising in {{language}}", role: "system", }, ], provider: "openai", maxTokens: -1, temperature: 0.7, commitMessage: "Initial commit", }); ```
#### ⚙️ Parameters
**request:** `Humanloop.PromptRequest`
**requestOptions:** `Prompts.RequestOptions`
client.prompts.get(id, { ...params }) -> Humanloop.PromptResponse
#### 📝 Description
Retrieve the Prompt with the given ID. By default, the deployed version of the Prompt is returned. Use the query parameters `version_id` or `environment` to target a specific version of the Prompt.
#### 🔌 Usage
```typescript await client.prompts.get("pr_30gco7dx6JDq4200GVOHa"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Prompt.
**request:** `Humanloop.GetPromptsIdGetRequest`
**requestOptions:** `Prompts.RequestOptions`
client.prompts.delete(id) -> void
#### 📝 Description
Delete the Prompt with the given ID.
#### 🔌 Usage
```typescript await client.prompts.delete("pr_30gco7dx6JDq4200GVOHa"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Prompt.
**requestOptions:** `Prompts.RequestOptions`
client.prompts.move(id, { ...params }) -> Humanloop.PromptResponse
#### 📝 Description
Move the Prompt to a different path or change the name.
#### 🔌 Usage
```typescript await client.prompts.move("pr_30gco7dx6JDq4200GVOHa", { path: "new directory/new name", }); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Prompt.
**request:** `Humanloop.UpdatePromptRequest`
**requestOptions:** `Prompts.RequestOptions`
client.prompts.populateTemplate(id, { ...params }) -> Humanloop.PromptResponse
#### 📝 Description
Retrieve the Prompt with the given ID, including the populated template. By default, the deployed version of the Prompt is returned. Use the query parameters `version_id` or `environment` to target a specific version of the Prompt.
#### 🔌 Usage
```typescript await client.prompts.populateTemplate("id", { body: { key: "value", }, }); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Prompt.
**request:** `Humanloop.PopulateTemplatePromptsIdPopulatePostRequest`
**requestOptions:** `Prompts.RequestOptions`
client.prompts.listVersions(id, { ...params }) -> Humanloop.ListPrompts
#### 📝 Description
Get a list of all the versions of a Prompt.
#### 🔌 Usage
```typescript await client.prompts.listVersions("pr_30gco7dx6JDq4200GVOHa", { status: "committed", }); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Prompt.
**request:** `Humanloop.ListVersionsPromptsIdVersionsGetRequest`
**requestOptions:** `Prompts.RequestOptions`
client.prompts.commit(id, versionId, { ...params }) -> Humanloop.PromptResponse
#### 📝 Description
Commit a version of the Prompt with a commit message. If the version is already committed, an exception will be raised.
#### 🔌 Usage
```typescript await client.prompts.commit("pr_30gco7dx6JDq4200GVOHa", "prv_F34aba5f3asp0", { commitMessage: "Reiterated point about not discussing sentience", }); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Prompt.
**versionId:** `string` — Unique identifier for the specific version of the Prompt.
**request:** `Humanloop.CommitRequest`
**requestOptions:** `Prompts.RequestOptions`
client.prompts.deletePromptVersion(id, versionId) -> void
#### 📝 Description
Delete a version of the Prompt.
#### 🔌 Usage
```typescript await client.prompts.deletePromptVersion("id", "version_id"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Prompt.
**versionId:** `string` — Unique identifier for the specific version of the Prompt.
**requestOptions:** `Prompts.RequestOptions`
client.prompts.setDeployment(id, environmentId, { ...params }) -> Humanloop.PromptResponse
#### 📝 Description
Deploy Prompt to an Environment. Set the deployed version for the specified Environment. This Prompt will be used for calls made to the Prompt in this Environment.
#### 🔌 Usage
```typescript await client.prompts.setDeployment("id", "environment_id", { versionId: "version_id", }); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Prompt.
**environmentId:** `string` — Unique identifier for the Environment to deploy the Version to.
**request:** `Humanloop.SetDeploymentPromptsIdEnvironmentsEnvironmentIdPostRequest`
**requestOptions:** `Prompts.RequestOptions`
client.prompts.removeDeployment(id, environmentId) -> void
#### 📝 Description
Remove deployed Prompt from the Environment. Remove the deployed version for the specified Environment. This Prompt will no longer be used for calls made to the Prompt in this Environment.
#### 🔌 Usage
```typescript await client.prompts.removeDeployment("id", "environment_id"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Prompt.
**environmentId:** `string` — Unique identifier for the Environment to remove the deployment from.
**requestOptions:** `Prompts.RequestOptions`
client.prompts.listEnvironments(id) -> Humanloop.FileEnvironmentResponse[]
#### 📝 Description
List all Environments and their deployed versions for the Prompt.
#### 🔌 Usage
```typescript await client.prompts.listEnvironments("pr_30gco7dx6JDq4200GVOHa"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Prompt.
**requestOptions:** `Prompts.RequestOptions`
client.prompts.updateMonitoring(id, { ...params }) -> Humanloop.PromptResponse
#### 📝 Description
Activate and deactivate Evaluators for monitoring the Prompt. An activated Evaluator will automatically be run on all new Logs within the Prompt for monitoring purposes.
#### 🔌 Usage
```typescript await client.prompts.updateMonitoring("pr_30gco7dx6JDq4200GVOHa", { activate: [ { evaluatorVersionId: "evv_1abc4308abd", }, ], }); ```
#### ⚙️ Parameters
**id:** `string`
**request:** `Humanloop.EvaluatorActivationDeactivationRequest`
**requestOptions:** `Prompts.RequestOptions`
## Tools
client.tools.log({ ...params }) -> Humanloop.CreateToolLogResponse
#### 📝 Description
Log to a Tool. You can use query parameters `version_id`, or `environment`, to target an existing version of the Tool. Otherwise the default deployed version will be chosen. Instead of targeting an existing version explicitly, you can instead pass in Tool details in the request body. In this case, we will check if the details correspond to an existing version of the Tool, if not we will create a new version. This is helpful in the case where you are storing or deriving your Tool details in code.
#### 🔌 Usage
```typescript await client.tools.log({ path: "math-tool", tool: { function: { name: "multiply", description: "Multiply two numbers", parameters: { type: "object", properties: { a: { type: "number", }, b: { type: "number", }, }, required: ["a", "b"], }, }, }, inputs: { a: 5, b: 7, }, output: "35", }); ```
#### ⚙️ Parameters
**request:** `Humanloop.ToolLogRequest`
**requestOptions:** `Tools.RequestOptions`
client.tools.update(id, logId, { ...params }) -> Humanloop.LogResponse
#### 📝 Description
Update a Log. Update the details of a Log with the given ID.
#### 🔌 Usage
```typescript await client.tools.update("id", "log_id"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Prompt.
**logId:** `string` — Unique identifier for the Log.
**request:** `Humanloop.ToolLogUpdateRequest`
**requestOptions:** `Tools.RequestOptions`
client.tools.list({ ...params }) -> core.Page
#### 📝 Description
Get a list of all Tools.
#### 🔌 Usage
```typescript const response = await client.tools.list({ size: 1, }); for await (const item of response) { console.log(item); } // Or you can manually iterate page-by-page const page = await client.tools.list({ size: 1, }); while (page.hasNextPage()) { page = page.getNextPage(); } ```
#### ⚙️ Parameters
**request:** `Humanloop.ListToolsGetRequest`
**requestOptions:** `Tools.RequestOptions`
client.tools.upsert({ ...params }) -> Humanloop.ToolResponse
#### 📝 Description
Create a Tool or update it with a new version if it already exists. Tools are identified by the `ID` or their `path`. The name, description and parameters determine the versions of the Tool. If you provide a commit message, then the new version will be committed; otherwise it will be uncommitted. If you try to commit an already committed version, an exception will be raised.
#### 🔌 Usage
```typescript await client.tools.upsert({ path: "math-tool", function: { name: "multiply", description: "Multiply two numbers", parameters: { type: "object", properties: { a: { type: "number", }, b: { type: "number", }, }, required: ["a", "b"], }, }, commitMessage: "Initial commit", }); ```
#### ⚙️ Parameters
**request:** `Humanloop.ToolRequest`
**requestOptions:** `Tools.RequestOptions`
client.tools.get(id, { ...params }) -> Humanloop.ToolResponse
#### 📝 Description
Retrieve the Tool with the given ID. By default, the deployed version of the Tool is returned. Use the query parameters `version_id` or `environment` to target a specific version of the Tool.
#### 🔌 Usage
```typescript await client.tools.get("tl_789ghi"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Tool.
**request:** `Humanloop.GetToolsIdGetRequest`
**requestOptions:** `Tools.RequestOptions`
client.tools.delete(id) -> void
#### 📝 Description
Delete the Tool with the given ID.
#### 🔌 Usage
```typescript await client.tools.delete("tl_789ghi"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Tool.
**requestOptions:** `Tools.RequestOptions`
client.tools.move(id, { ...params }) -> Humanloop.ToolResponse
#### 📝 Description
Move the Tool to a different path or change the name.
#### 🔌 Usage
```typescript await client.tools.move("tl_789ghi", { path: "new directory/new name", }); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Tool.
**request:** `Humanloop.UpdateToolRequest`
**requestOptions:** `Tools.RequestOptions`
client.tools.listVersions(id, { ...params }) -> Humanloop.ListTools
#### 📝 Description
Get a list of all the versions of a Tool.
#### 🔌 Usage
```typescript await client.tools.listVersions("tl_789ghi", { status: "committed", }); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for the Tool.
**request:** `Humanloop.ListVersionsToolsIdVersionsGetRequest`
**requestOptions:** `Tools.RequestOptions`
client.tools.commit(id, versionId, { ...params }) -> Humanloop.ToolResponse
#### 📝 Description
Commit a version of the Tool with a commit message. If the version is already committed, an exception will be raised.
#### 🔌 Usage
```typescript await client.tools.commit("tl_789ghi", "tv_012jkl", { commitMessage: "Initial commit", }); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Tool.
**versionId:** `string` — Unique identifier for the specific version of the Tool.
**request:** `Humanloop.CommitRequest`
**requestOptions:** `Tools.RequestOptions`
client.tools.deleteToolVersion(id, versionId) -> void
#### 📝 Description
Delete a version of the Tool.
#### 🔌 Usage
```typescript await client.tools.deleteToolVersion("id", "version_id"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Tool.
**versionId:** `string` — Unique identifier for the specific version of the Tool.
**requestOptions:** `Tools.RequestOptions`
client.tools.setDeployment(id, environmentId, { ...params }) -> Humanloop.ToolResponse
#### 📝 Description
Deploy Tool to an Environment. Set the deployed version for the specified Environment. This Prompt will be used for calls made to the Tool in this Environment.
#### 🔌 Usage
```typescript await client.tools.setDeployment("tl_789ghi", "staging", { versionId: "tv_012jkl", }); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Tool.
**environmentId:** `string` — Unique identifier for the Environment to deploy the Version to.
**request:** `Humanloop.SetDeploymentToolsIdEnvironmentsEnvironmentIdPostRequest`
**requestOptions:** `Tools.RequestOptions`
client.tools.removeDeployment(id, environmentId) -> void
#### 📝 Description
Remove deployed Tool from the Environment. Remove the deployed version for the specified Environment. This Tool will no longer be used for calls made to the Tool in this Environment.
#### 🔌 Usage
```typescript await client.tools.removeDeployment("tl_789ghi", "staging"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Tool.
**environmentId:** `string` — Unique identifier for the Environment to remove the deployment from.
**requestOptions:** `Tools.RequestOptions`
client.tools.listEnvironments(id) -> Humanloop.FileEnvironmentResponse[]
#### 📝 Description
List all Environments and their deployed versions for the Tool.
#### 🔌 Usage
```typescript await client.tools.listEnvironments("tl_789ghi"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Tool.
**requestOptions:** `Tools.RequestOptions`
client.tools.updateMonitoring(id, { ...params }) -> Humanloop.ToolResponse
#### 📝 Description
Activate and deactivate Evaluators for monitoring the Tool. An activated Evaluator will automatically be run on all new Logs within the Tool for monitoring purposes.
#### 🔌 Usage
```typescript await client.tools.updateMonitoring("tl_789ghi", { activate: [ { evaluatorVersionId: "evv_1abc4308abd", }, ], }); ```
#### ⚙️ Parameters
**id:** `string`
**request:** `Humanloop.EvaluatorActivationDeactivationRequest`
**requestOptions:** `Tools.RequestOptions`
## Datasets
client.datasets.list({ ...params }) -> core.Page
#### 📝 Description
List all Datasets.
#### 🔌 Usage
```typescript const response = await client.datasets.list({ size: 1, }); for await (const item of response) { console.log(item); } // Or you can manually iterate page-by-page const page = await client.datasets.list({ size: 1, }); while (page.hasNextPage()) { page = page.getNextPage(); } ```
#### ⚙️ Parameters
**request:** `Humanloop.ListDatasetsGetRequest`
**requestOptions:** `Datasets.RequestOptions`
client.datasets.upsert({ ...params }) -> Humanloop.DatasetResponse
#### 📝 Description
Create a Dataset or update it with a new version if it already exists. Datasets are identified by the `ID` or their `path`. The datapoints determine the versions of the Dataset. By default, the new Dataset version will be set to the list of Datapoints provided in the request. You can also create a new version by adding or removing Datapoints from an existing version by specifying `action` as `add` or `remove` respectively. In this case, you may specify the `version_id` or `environment` query parameters to identify the existing version to base the new version on. If neither is provided, the latest created version will be used. If you provide a commit message, then the new version will be committed; otherwise it will be uncommitted. If you try to commit an already committed version, an exception will be raised. Humanloop also deduplicates Datapoints. If you try to add a Datapoint that already exists, it will be ignored. If you intentionally want to add a duplicate Datapoint, you can add a unique identifier to the Datapoint's inputs such as `{_dedupe_id: }`.
#### 🔌 Usage
```typescript await client.datasets.upsert({ path: "test-questions", datapoints: [ { inputs: { question: "What is the capital of France?", }, target: { answer: "Paris", }, }, { inputs: { question: "Who wrote Hamlet?", }, target: { answer: "William Shakespeare", }, }, ], action: "set", commitMessage: "Add two new questions and answers", }); ```
#### ⚙️ Parameters
**request:** `Humanloop.DatasetRequest`
**requestOptions:** `Datasets.RequestOptions`
client.datasets.get(id, { ...params }) -> Humanloop.DatasetResponse
#### 📝 Description
Retrieve the Dataset with the given ID. Unless `include_datapoints` is set to `true`, the response will not include the Datapoints. Use the List Datapoints endpoint (`GET /{id}/datapoints`) to efficiently retrieve Datapoints for a large Dataset. By default, the deployed version of the Dataset is returned. Use the query parameters `version_id` or `environment` to target a specific version of the Dataset.
#### 🔌 Usage
```typescript await client.datasets.get("ds_b0baF1ca7652", { versionId: "dsv_6L78pqrdFi2xa", includeDatapoints: true, }); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Dataset.
**request:** `Humanloop.GetDatasetsIdGetRequest`
**requestOptions:** `Datasets.RequestOptions`
client.datasets.delete(id) -> void
#### 📝 Description
Delete the Dataset with the given ID.
#### 🔌 Usage
```typescript await client.datasets.delete("id"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Dataset.
**requestOptions:** `Datasets.RequestOptions`
client.datasets.move(id, { ...params }) -> Humanloop.DatasetResponse
#### 📝 Description
Move the Dataset to a different path or change the name.
#### 🔌 Usage
```typescript await client.datasets.move("id"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Dataset.
**request:** `Humanloop.UpdateDatasetRequest`
**requestOptions:** `Datasets.RequestOptions`
client.datasets.listDatapoints(id, { ...params }) -> core.Page
#### 📝 Description
List all Datapoints for the Dataset with the given ID.
#### 🔌 Usage
```typescript const response = await client.datasets.listDatapoints("ds_b0baF1ca7652", { size: 1, }); for await (const item of response) { console.log(item); } // Or you can manually iterate page-by-page const page = await client.datasets.listDatapoints("ds_b0baF1ca7652", { size: 1, }); while (page.hasNextPage()) { page = page.getNextPage(); } ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Dataset.
**request:** `Humanloop.ListDatapointsDatasetsIdDatapointsGetRequest`
**requestOptions:** `Datasets.RequestOptions`
client.datasets.listVersions(id, { ...params }) -> Humanloop.ListDatasets
#### 📝 Description
Get a list of the versions for a Dataset.
#### 🔌 Usage
```typescript await client.datasets.listVersions("ds_b0baF1ca7652", { status: "committed", }); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Dataset.
**request:** `Humanloop.ListVersionsDatasetsIdVersionsGetRequest`
**requestOptions:** `Datasets.RequestOptions`
client.datasets.commit(id, versionId, { ...params }) -> Humanloop.DatasetResponse
#### 📝 Description
Commit a version of the Dataset with a commit message. If the version is already committed, an exception will be raised.
#### 🔌 Usage
```typescript await client.datasets.commit("ds_b0baF1ca7652", "dsv_6L78pqrdFi2xa", { commitMessage: "initial commit", }); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Dataset.
**versionId:** `string` — Unique identifier for the specific version of the Dataset.
**request:** `Humanloop.CommitRequest`
**requestOptions:** `Datasets.RequestOptions`
client.datasets.deleteDatasetVersion(id, versionId) -> void
#### 📝 Description
Delete a version of the Dataset.
#### 🔌 Usage
```typescript await client.datasets.deleteDatasetVersion("id", "version_id"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Dataset.
**versionId:** `string` — Unique identifier for the specific version of the Dataset.
**requestOptions:** `Datasets.RequestOptions`
client.datasets.uploadCsv(file, id, { ...params }) -> Humanloop.DatasetResponse
#### 📝 Description
Add Datapoints from a CSV file to a Dataset. This will create a new committed version of the Dataset with the Datapoints from the CSV file. If either `version_id` or `environment` is provided, the new version will be based on the specified version, with the Datapoints from the CSV file added to the existing Datapoints in the version. If neither `version_id` nor `environment` is provided, the new version will be based on the version of the Dataset that is deployed to the default Environment.
#### 🔌 Usage
```typescript await client.datasets.uploadCsv(fs.createReadStream("/path/to/your/file"), "id", { commitMessage: "commit_message", }); ```
#### ⚙️ Parameters
**file:** `File | fs.ReadStream | Blob`
**id:** `string`
**request:** `Humanloop.BodyUploadCsvDatasetsIdDatapointsCsvPost`
**requestOptions:** `Datasets.RequestOptions`
client.datasets.setDeployment(id, environmentId, { ...params }) -> Humanloop.DatasetResponse
#### 📝 Description
Deploy Dataset to Environment. Set the deployed version for the specified Environment.
#### 🔌 Usage
```typescript await client.datasets.setDeployment("ds_b0baF1ca7652", "staging", { versionId: "dsv_6L78pqrdFi2xa", }); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Dataset.
**environmentId:** `string` — Unique identifier for the Environment to deploy the Version to.
**request:** `Humanloop.SetDeploymentDatasetsIdEnvironmentsEnvironmentIdPostRequest`
**requestOptions:** `Datasets.RequestOptions`
client.datasets.removeDeployment(id, environmentId) -> void
#### 📝 Description
Remove deployed Dataset from Environment. Remove the deployed version for the specified Environment.
#### 🔌 Usage
```typescript await client.datasets.removeDeployment("ds_b0baF1ca7652", "staging"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Dataset.
**environmentId:** `string` — Unique identifier for the Environment to remove the deployment from.
**requestOptions:** `Datasets.RequestOptions`
client.datasets.listEnvironments(id) -> Humanloop.FileEnvironmentResponse[]
#### 📝 Description
List all Environments and their deployed versions for the Dataset.
#### 🔌 Usage
```typescript await client.datasets.listEnvironments("id"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Dataset.
**requestOptions:** `Datasets.RequestOptions`
## Evaluators
client.evaluators.log({ ...params }) -> Humanloop.CreateEvaluatorLogResponse
#### 📝 Description
Submit Evaluator judgment for an existing Log. Creates a new Log. The evaluated Log will be set as the parent of the created Log.
#### 🔌 Usage
```typescript await client.evaluators.log({ parentId: "parent_id", }); ```
#### ⚙️ Parameters
**request:** `Humanloop.CreateEvaluatorLogRequest`
**requestOptions:** `Evaluators.RequestOptions`
client.evaluators.list({ ...params }) -> core.Page
#### 📝 Description
Get a list of all Evaluators.
#### 🔌 Usage
```typescript const response = await client.evaluators.list({ size: 1, }); for await (const item of response) { console.log(item); } // Or you can manually iterate page-by-page const page = await client.evaluators.list({ size: 1, }); while (page.hasNextPage()) { page = page.getNextPage(); } ```
#### ⚙️ Parameters
**request:** `Humanloop.ListEvaluatorsGetRequest`
**requestOptions:** `Evaluators.RequestOptions`
client.evaluators.upsert({ ...params }) -> Humanloop.EvaluatorResponse
#### 📝 Description
Create an Evaluator or update it with a new version if it already exists. Evaluators are identified by the `ID` or their `path`. The spec provided determines the version of the Evaluator. If you provide a commit message, then the new version will be committed; otherwise it will be uncommitted. If you try to commit an already committed version, an exception will be raised.
#### 🔌 Usage
```typescript await client.evaluators.upsert({ path: "Shared Evaluators/Accuracy Evaluator", spec: { argumentsType: "target_required", returnType: "number", evaluatorType: "python", code: "def evaluate(answer, target):\n return 0.5", }, commitMessage: "Initial commit", }); ```
#### ⚙️ Parameters
**request:** `Humanloop.EvaluatorRequest`
**requestOptions:** `Evaluators.RequestOptions`
client.evaluators.get(id, { ...params }) -> Humanloop.EvaluatorResponse
#### 📝 Description
Retrieve the Evaluator with the given ID. By default, the deployed version of the Evaluator is returned. Use the query parameters `version_id` or `environment` to target a specific version of the Evaluator.
#### 🔌 Usage
```typescript await client.evaluators.get("ev_890bcd"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Evaluator.
**request:** `Humanloop.GetEvaluatorsIdGetRequest`
**requestOptions:** `Evaluators.RequestOptions`
client.evaluators.delete(id) -> void
#### 📝 Description
Delete the Evaluator with the given ID.
#### 🔌 Usage
```typescript await client.evaluators.delete("ev_890bcd"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Evaluator.
**requestOptions:** `Evaluators.RequestOptions`
client.evaluators.move(id, { ...params }) -> Humanloop.EvaluatorResponse
#### 📝 Description
Move the Evaluator to a different path or change the name.
#### 🔌 Usage
```typescript await client.evaluators.move("ev_890bcd", { path: "new directory/new name", }); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Evaluator.
**request:** `Humanloop.UpdateEvaluatorRequest`
**requestOptions:** `Evaluators.RequestOptions`
client.evaluators.listVersions(id, { ...params }) -> Humanloop.ListEvaluators
#### 📝 Description
Get a list of all the versions of an Evaluator.
#### 🔌 Usage
```typescript await client.evaluators.listVersions("ev_890bcd"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for the Evaluator.
**request:** `Humanloop.ListVersionsEvaluatorsIdVersionsGetRequest`
**requestOptions:** `Evaluators.RequestOptions`
client.evaluators.commit(id, versionId, { ...params }) -> Humanloop.EvaluatorResponse
#### 📝 Description
Commit a version of the Evaluator with a commit message. If the version is already committed, an exception will be raised.
#### 🔌 Usage
```typescript await client.evaluators.commit("ev_890bcd", "evv_012def", { commitMessage: "Initial commit", }); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Prompt.
**versionId:** `string` — Unique identifier for the specific version of the Evaluator.
**request:** `Humanloop.CommitRequest`
**requestOptions:** `Evaluators.RequestOptions`
client.evaluators.deleteEvaluatorVersion(id, versionId) -> void
#### 📝 Description
Delete a version of the Evaluator.
#### 🔌 Usage
```typescript await client.evaluators.deleteEvaluatorVersion("id", "version_id"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Evaluator.
**versionId:** `string` — Unique identifier for the specific version of the Evaluator.
**requestOptions:** `Evaluators.RequestOptions`
client.evaluators.setDeployment(id, environmentId, { ...params }) -> Humanloop.EvaluatorResponse
#### 📝 Description
Deploy Evaluator to an Environment. Set the deployed version for the specified Environment. This Evaluator will be used for calls made to the Evaluator in this Environment.
#### 🔌 Usage
```typescript await client.evaluators.setDeployment("ev_890bcd", "staging", { versionId: "evv_012def", }); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Evaluator.
**environmentId:** `string` — Unique identifier for the Environment to deploy the Version to.
**request:** `Humanloop.SetDeploymentEvaluatorsIdEnvironmentsEnvironmentIdPostRequest`
**requestOptions:** `Evaluators.RequestOptions`
client.evaluators.removeDeployment(id, environmentId) -> void
#### 📝 Description
Remove deployed Evaluator from the Environment. Remove the deployed version for the specified Environment. This Evaluator will no longer be used for calls made to the Evaluator in this Environment.
#### 🔌 Usage
```typescript await client.evaluators.removeDeployment("ev_890bcd", "staging"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Evaluator.
**environmentId:** `string` — Unique identifier for the Environment to remove the deployment from.
**requestOptions:** `Evaluators.RequestOptions`
client.evaluators.listEnvironments(id) -> Humanloop.FileEnvironmentResponse[]
#### 📝 Description
List all Environments and their deployed versions for the Evaluator.
#### 🔌 Usage
```typescript await client.evaluators.listEnvironments("ev_890bcd"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Evaluator.
**requestOptions:** `Evaluators.RequestOptions`
client.evaluators.updateMonitoring(id, { ...params }) -> Humanloop.EvaluatorResponse
#### 📝 Description
Activate and deactivate Evaluators for monitoring the Evaluator. An activated Evaluator will automatically be run on all new Logs within the Evaluator for monitoring purposes.
#### 🔌 Usage
```typescript await client.evaluators.updateMonitoring("id", {}); ```
#### ⚙️ Parameters
**id:** `string`
**request:** `Humanloop.EvaluatorActivationDeactivationRequest`
**requestOptions:** `Evaluators.RequestOptions`
## Flows
client.flows.log({ ...params }) -> Humanloop.CreateFlowLogResponse
#### 📝 Description
Log to a Flow. You can use query parameters `version_id`, or `environment`, to target an existing version of the Flow. Otherwise, the default deployed version will be chosen. If you create the Flow Log with a `log_status` of `incomplete`, you should later update it to `complete` in order to trigger Evaluators.
#### 🔌 Usage
```typescript await client.flows.log({ id: "fl_6o701g4jmcanPVHxdqD0O", flow: { attributes: { prompt: { template: "You are a helpful assistant helping with medical anamnesis", model: "gpt-4o", temperature: 0.8, }, tool: { name: "retrieval_tool_v3", description: "Retrieval tool for MedQA.", source_code: "def retrieval_tool(question: str) -> str:\n pass\n", }, }, }, inputs: { question: "Patient with a history of diabetes and hypertension presents with chest pain and shortness of breath.", }, output: "The patient is likely experiencing a myocardial infarction. Immediate medical attention is required.", logStatus: "incomplete", startTime: "2024-07-08T22:40:35", endTime: "2024-07-08T22:40:39", }); ```
#### ⚙️ Parameters
**request:** `Humanloop.FlowLogRequest`
**requestOptions:** `Flows.RequestOptions`
client.flows.updateLog(logId, { ...params }) -> Humanloop.FlowLogResponse
#### 📝 Description
Update the status, inputs, output of a Flow Log. Marking a Flow Log as complete will trigger any monitoring Evaluators to run. Inputs and output (or error) must be provided in order to mark it as complete. The end_time log attribute will be set to match the time the log is marked as complete.
#### 🔌 Usage
```typescript await client.flows.updateLog("medqa_experiment_0001", { inputs: { question: "Patient with a history of diabetes and normal tension presents with chest pain and shortness of breath.", }, output: "The patient is likely experiencing a myocardial infarction. Immediate medical attention is required.", logStatus: "complete", error: undefined, }); ```
#### ⚙️ Parameters
**logId:** `string` — Unique identifier of the Flow Log.
**request:** `Humanloop.UpdateFlowLogRequest`
**requestOptions:** `Flows.RequestOptions`
client.flows.get(id, { ...params }) -> Humanloop.FlowResponse
#### 📝 Description
Retrieve the Flow with the given ID. By default, the deployed version of the Flow is returned. Use the query parameters `version_id` or `environment` to target a specific version of the Flow.
#### 🔌 Usage
```typescript await client.flows.get("fl_6o701g4jmcanPVHxdqD0O"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Flow.
**request:** `Humanloop.GetFlowsIdGetRequest`
**requestOptions:** `Flows.RequestOptions`
client.flows.delete(id) -> void
#### 📝 Description
Delete the Flow with the given ID.
#### 🔌 Usage
```typescript await client.flows.delete("fl_6o701g4jmcanPVHxdqD0O"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Flow.
**requestOptions:** `Flows.RequestOptions`
client.flows.move(id, { ...params }) -> Humanloop.FlowResponse
#### 📝 Description
Move the Flow to a different path or change the name.
#### 🔌 Usage
```typescript await client.flows.move("fl_6o701g4jmcanPVHxdqD0O", { path: "new directory/new name", }); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Flow.
**request:** `Humanloop.UpdateFlowRequest`
**requestOptions:** `Flows.RequestOptions`
client.flows.list({ ...params }) -> core.Page
#### 📝 Description
Get a list of Flows.
#### 🔌 Usage
```typescript const response = await client.flows.list({ size: 1, }); for await (const item of response) { console.log(item); } // Or you can manually iterate page-by-page const page = await client.flows.list({ size: 1, }); while (page.hasNextPage()) { page = page.getNextPage(); } ```
#### ⚙️ Parameters
**request:** `Humanloop.ListFlowsGetRequest`
**requestOptions:** `Flows.RequestOptions`
client.flows.upsert({ ...params }) -> Humanloop.FlowResponse
#### 📝 Description
Create or update a Flow. Flows can also be identified by the `ID` or their `path`. If you provide a commit message, then the new version will be committed; otherwise it will be uncommitted. If you try to commit an already committed version, an exception will be raised.
#### 🔌 Usage
```typescript await client.flows.upsert({ path: "Personal Projects/MedQA Flow", attributes: { prompt: { template: "You are a helpful medical assistant helping with medical anamnesis. Answer {{question}}", model: "gpt-4o", temperature: 0.8, }, tool: { name: "retrieval_tool_v3", description: "Retrieval tool for MedQA.", source_code: "def retrieval_tool(question: str) -> str:\n pass\n", }, commit_message: "Initial commit", }, }); ```
#### ⚙️ Parameters
**request:** `Humanloop.FlowRequest`
**requestOptions:** `Flows.RequestOptions`
client.flows.listVersions(id, { ...params }) -> Humanloop.ListFlows
#### 📝 Description
Get a list of all the versions of a Flow.
#### 🔌 Usage
```typescript await client.flows.listVersions("fl_6o701g4jmcanPVHxdqD0O", { status: "committed", }); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Flow.
**request:** `Humanloop.ListVersionsFlowsIdVersionsGetRequest`
**requestOptions:** `Flows.RequestOptions`
client.flows.commit(id, versionId, { ...params }) -> Humanloop.FlowResponse
#### 📝 Description
Commit a version of the Flow with a commit message. If the version is already committed, an exception will be raised.
#### 🔌 Usage
```typescript await client.flows.commit("fl_6o701g4jmcanPVHxdqD0O", "flv_6o701g4jmcanPVHxdqD0O", { commitMessage: "RAG lookup tool bug fixing", }); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Flow.
**versionId:** `string` — Unique identifier for the specific version of the Flow.
**request:** `Humanloop.CommitRequest`
**requestOptions:** `Flows.RequestOptions`
client.flows.deleteFlowVersion(id, versionId) -> void
#### 📝 Description
Delete a version of the Flow.
#### 🔌 Usage
```typescript await client.flows.deleteFlowVersion("id", "version_id"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Flow.
**versionId:** `string` — Unique identifier for the specific version of the Flow.
**requestOptions:** `Flows.RequestOptions`
client.flows.setDeployment(id, environmentId, { ...params }) -> Humanloop.FlowResponse
#### 📝 Description
Deploy Flow to an Environment. Set the deployed version for the specified Environment. This Flow will be used for calls made to the Flow in this Environment.
#### 🔌 Usage
```typescript await client.flows.setDeployment("fl_6o701g4jmcanPVHxdqD0O", "staging", { versionId: "flv_6o701g4jmcanPVHxdqD0O", }); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Flow.
**environmentId:** `string` — Unique identifier for the Environment to deploy the Version to.
**request:** `Humanloop.SetDeploymentFlowsIdEnvironmentsEnvironmentIdPostRequest`
**requestOptions:** `Flows.RequestOptions`
client.flows.removeDeployment(id, environmentId) -> void
#### 📝 Description
Remove deployed Flow from the Environment. Remove the deployed version for the specified Environment. This Flow will no longer be used for calls made to the Flow in this Environment.
#### 🔌 Usage
```typescript await client.flows.removeDeployment("fl_6o701g4jmcanPVHxdqD0O", "staging"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Flow.
**environmentId:** `string` — Unique identifier for the Environment to remove the deployment from.
**requestOptions:** `Flows.RequestOptions`
client.flows.listEnvironments(id) -> Humanloop.FileEnvironmentResponse[]
#### 📝 Description
List all Environments and their deployed versions for the Flow.
#### 🔌 Usage
```typescript await client.flows.listEnvironments("fl_6o701g4jmcanPVHxdqD0O"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Flow.
**requestOptions:** `Flows.RequestOptions`
client.flows.updateMonitoring(id, { ...params }) -> Humanloop.FlowResponse
#### 📝 Description
Activate and deactivate Evaluators for monitoring the Flow. An activated Evaluator will automatically be run on all new "completed" Logs within the Flow for monitoring purposes.
#### 🔌 Usage
```typescript await client.flows.updateMonitoring("fl_6o701g4jmcanPVHxdqD0O", { activate: [ { evaluatorVersionId: "evv_1abc4308abd", }, ], }); ```
#### ⚙️ Parameters
**id:** `string`
**request:** `Humanloop.EvaluatorActivationDeactivationRequest`
**requestOptions:** `Flows.RequestOptions`
## Directories
client.directories.list() -> Humanloop.DirectoryResponse[]
#### 📝 Description
Retrieve a list of all Directories.
#### 🔌 Usage
```typescript await client.directories.list(); ```
#### ⚙️ Parameters
**requestOptions:** `Directories.RequestOptions`
client.directories.create({ ...params }) -> Humanloop.DirectoryResponse
#### 📝 Description
Creates a Directory.
#### 🔌 Usage
```typescript await client.directories.create(); ```
#### ⚙️ Parameters
**request:** `Humanloop.CreateDirectoryRequest`
**requestOptions:** `Directories.RequestOptions`
client.directories.get(id) -> Humanloop.DirectoryWithParentsAndChildrenResponse
#### 📝 Description
Fetches a directory by ID.
#### 🔌 Usage
```typescript await client.directories.get("id"); ```
#### ⚙️ Parameters
**id:** `string` — String ID of directory. Starts with `dir_`.
**requestOptions:** `Directories.RequestOptions`
client.directories.delete(id) -> void
#### 📝 Description
Delete the Directory with the given ID. The Directory must be empty (i.e. contain no Directories or Files).
#### 🔌 Usage
```typescript await client.directories.delete("id"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Directory. Starts with `dir_`.
**requestOptions:** `Directories.RequestOptions`
client.directories.update(id, { ...params }) -> Humanloop.DirectoryResponse
#### 📝 Description
Update the Directory with the given ID.
#### 🔌 Usage
```typescript await client.directories.update("id"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Directory. Starts with `dir_`.
**request:** `Humanloop.UpdateDirectoryRequest`
**requestOptions:** `Directories.RequestOptions`
## Files
client.files.listFiles({ ...params }) -> Humanloop.PaginatedDataUnionPromptResponseToolResponseDatasetResponseEvaluatorResponseFlowResponse
#### 📝 Description
Get a paginated list of files.
#### 🔌 Usage
```typescript await client.files.listFiles(); ```
#### ⚙️ Parameters
**request:** `Humanloop.ListFilesFilesGetRequest`
**requestOptions:** `Files.RequestOptions`
client.files.retrieveByPath({ ...params }) -> Humanloop.RetrieveByPathFilesRetrieveByPathPostResponse
#### 📝 Description
Retrieve a File by path.
#### 🔌 Usage
```typescript await client.files.retrieveByPath({ path: "path", }); ```
#### ⚙️ Parameters
**request:** `Humanloop.BodyRetrieveByPathFilesRetrieveByPathPost`
**requestOptions:** `Files.RequestOptions`
## Evaluations
client.evaluations.list({ ...params }) -> core.Page
#### 📝 Description
Retrieve a list of Evaluations for the specified File.
#### 🔌 Usage
```typescript const response = await client.evaluations.list({ fileId: "pr_30gco7dx6JDq4200GVOHa", size: 1, }); for await (const item of response) { console.log(item); } // Or you can manually iterate page-by-page const page = await client.evaluations.list({ fileId: "pr_30gco7dx6JDq4200GVOHa", size: 1, }); while (page.hasNextPage()) { page = page.getNextPage(); } ```
#### ⚙️ Parameters
**request:** `Humanloop.ListEvaluationsGetRequest`
**requestOptions:** `Evaluations.RequestOptions`
client.evaluations.create({ ...params }) -> Humanloop.EvaluationResponse
#### 📝 Description
Create an Evaluation. Create a new Evaluation by specifying the File to evaluate, and a name for the Evaluation. You can then add Runs to this Evaluation using the `POST /evaluations/{id}/runs` endpoint.
#### 🔌 Usage
```typescript await client.evaluations.create({ evaluators: [ { versionId: "version_id", }, ], }); ```
#### ⚙️ Parameters
**request:** `Humanloop.CreateEvaluationRequest`
**requestOptions:** `Evaluations.RequestOptions`
client.evaluations.addEvaluators(id, { ...params }) -> Humanloop.EvaluationResponse
#### 📝 Description
Add Evaluators to an Evaluation. The Evaluators will be run on the Logs generated for the Evaluation.
#### 🔌 Usage
```typescript await client.evaluations.addEvaluators("id", { evaluators: [ { versionId: "version_id", }, ], }); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Evaluation.
**request:** `Humanloop.AddEvaluatorsRequest`
**requestOptions:** `Evaluations.RequestOptions`
client.evaluations.removeEvaluator(id, evaluatorVersionId) -> Humanloop.EvaluationResponse
#### 📝 Description
Remove an Evaluator from an Evaluation. The Evaluator will no longer be run on the Logs in the Evaluation.
#### 🔌 Usage
```typescript await client.evaluations.removeEvaluator("id", "evaluator_version_id"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Evaluation.
**evaluatorVersionId:** `string` — Unique identifier for Evaluator Version.
**requestOptions:** `Evaluations.RequestOptions`
client.evaluations.get(id) -> Humanloop.EvaluationResponse
#### 📝 Description
Get an Evaluation. This includes the Evaluators associated with the Evaluation and metadata about the Evaluation, such as its name. To get the Runs associated with the Evaluation, use the `GET /evaluations/{id}/runs` endpoint. To retrieve stats for the Evaluation, use the `GET /evaluations/{id}/stats` endpoint.
#### 🔌 Usage
```typescript await client.evaluations.get("ev_567yza"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Evaluation.
**requestOptions:** `Evaluations.RequestOptions`
client.evaluations.delete(id) -> void
#### 📝 Description
Delete an Evaluation. The Runs and Evaluators in the Evaluation will not be deleted.
#### 🔌 Usage
```typescript await client.evaluations.delete("ev_567yza"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Evaluation.
**requestOptions:** `Evaluations.RequestOptions`
client.evaluations.listRunsForEvaluation(id) -> Humanloop.EvaluationRunsResponse
#### 📝 Description
List all Runs for an Evaluation.
#### 🔌 Usage
```typescript await client.evaluations.listRunsForEvaluation("id"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Evaluation.
**requestOptions:** `Evaluations.RequestOptions`
client.evaluations.createRun(id, { ...params }) -> Humanloop.EvaluationRunResponse
#### 📝 Description
Create an Evaluation Run. Optionally specify the Dataset and version to be evaluated. Humanloop will automatically start generating Logs and running Evaluators where `orchestrated=true`. If you are generating Logs yourself, you can set `orchestrated=false` and then generate and submit the required Logs via the API. If `dataset` and `version` are provided, you can set `use_existing_logs=True` to reuse existing Logs, avoiding generating new Logs unnecessarily. Logs that are associated with the specified Version and have `source_datapoint_id` referencing a datapoint in the specified Dataset will be associated with the Run. To keep updated on the progress of the Run, you can poll the Run using the `GET /evaluations/{id}/runs` endpoint and check its status.
#### 🔌 Usage
```typescript await client.evaluations.createRun("id"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Evaluation.
**request:** `Humanloop.CreateRunRequest`
**requestOptions:** `Evaluations.RequestOptions`
client.evaluations.addExistingRun(id, runId) -> unknown
#### 📝 Description
Add an existing Run to the specified Evaluation. This is useful if you want to compare the Runs in this Evaluation with an existing Run that exists within another Evaluation.
#### 🔌 Usage
```typescript await client.evaluations.addExistingRun("id", "run_id"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Evaluation.
**runId:** `string` — Unique identifier for Run.
**requestOptions:** `Evaluations.RequestOptions`
client.evaluations.removeRun(id, runId) -> void
#### 📝 Description
Remove a Run from an Evaluation. The Logs and Versions used in the Run will not be deleted. If this Run is used in any other Evaluations, it will still be available in those Evaluations.
#### 🔌 Usage
```typescript await client.evaluations.removeRun("id", "run_id"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Evaluation.
**runId:** `string` — Unique identifier for Run.
**requestOptions:** `Evaluations.RequestOptions`
client.evaluations.updateEvaluationRun(id, runId, { ...params }) -> Humanloop.EvaluationRunResponse
#### 📝 Description
Update an Evaluation Run. Specify `control=true` to use this Run as the control Run for the Evaluation. You can cancel a running/pending Run, or mark a Run that uses external or human Evaluators as completed.
#### 🔌 Usage
```typescript await client.evaluations.updateEvaluationRun("id", "run_id"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Evaluation.
**runId:** `string` — Unique identifier for Run.
**request:** `Humanloop.UpdateEvaluationRunRequest`
**requestOptions:** `Evaluations.RequestOptions`
client.evaluations.addLogsToRun(id, runId, { ...params }) -> Humanloop.EvaluationRunResponse
#### 📝 Description
Add the specified Logs to a Run.
#### 🔌 Usage
```typescript await client.evaluations.addLogsToRun("id", "run_id", { logIds: ["log_ids"], }); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Evaluation.
**runId:** `string` — Unique identifier for Run.
**request:** `Humanloop.AddLogsToRunRequest`
**requestOptions:** `Evaluations.RequestOptions`
client.evaluations.getStats(id) -> Humanloop.EvaluationStats
#### 📝 Description
Get Evaluation Stats. Retrieve aggregate stats for the specified Evaluation. This includes the number of generated Logs for each Run and the corresponding Evaluator statistics (such as the mean and percentiles).
#### 🔌 Usage
```typescript await client.evaluations.getStats("id"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Evaluation.
**requestOptions:** `Evaluations.RequestOptions`
client.evaluations.getLogs(id, { ...params }) -> Humanloop.PaginatedDataEvaluationLogResponse
#### 📝 Description
Get the Logs associated to a specific Evaluation. This returns the Logs associated to all Runs within with the Evaluation.
#### 🔌 Usage
```typescript await client.evaluations.getLogs("id"); ```
#### ⚙️ Parameters
**id:** `string` — String ID of evaluation. Starts with `ev_` or `evr_`.
**request:** `Humanloop.GetLogsEvaluationsIdLogsGetRequest`
**requestOptions:** `Evaluations.RequestOptions`
## Logs
client.logs.list({ ...params }) -> core.Page
#### 📝 Description
List all Logs for the given filter criteria.
#### 🔌 Usage
```typescript const response = await client.logs.list({ fileId: "file_123abc", size: 1, }); for await (const item of response) { console.log(item); } // Or you can manually iterate page-by-page const page = await client.logs.list({ fileId: "file_123abc", size: 1, }); while (page.hasNextPage()) { page = page.getNextPage(); } ```
#### ⚙️ Parameters
**request:** `Humanloop.ListLogsGetRequest`
**requestOptions:** `Logs.RequestOptions`
client.logs.delete({ ...params }) -> void
#### 📝 Description
Delete Logs with the given IDs.
#### 🔌 Usage
```typescript await client.logs.delete({ id: "prv_Wu6zx1lAWJRqOyL8nWuZk", }); ```
#### ⚙️ Parameters
**request:** `Humanloop.LogsDeleteRequest`
**requestOptions:** `Logs.RequestOptions`
client.logs.get(id) -> Humanloop.LogResponse
#### 📝 Description
Retrieve the Log with the given ID.
#### 🔌 Usage
```typescript await client.logs.get("prv_Wu6zx1lAWJRqOyL8nWuZk"); ```
#### ⚙️ Parameters
**id:** `string` — Unique identifier for Log.
**requestOptions:** `Logs.RequestOptions`
humanloop-node-0.8.16/scripts/000077500000000000000000000000001476356526200162425ustar00rootroot00000000000000humanloop-node-0.8.16/scripts/clean.sh000077500000000000000000000000741476356526200176640ustar00rootroot00000000000000#!/bin/sh cat .yalc.clean | xargs rm -rf; rm -f .yalc.clean;humanloop-node-0.8.16/scripts/prepack.sh000077500000000000000000000004161476356526200202270ustar00rootroot00000000000000#!/bin/sh if npm list --global | grep -q yalc; then # Local dev environment cp -rv dist/. . | awk '{print $3}' | tail -n +2 | cut -c 3- > .yalc.clean; echo .yalc.clean >> .yalc.clean; else # CI environment, releasing the package cp -rv dist/. .; fi humanloop-node-0.8.16/src/000077500000000000000000000000001476356526200153425ustar00rootroot00000000000000humanloop-node-0.8.16/src/Client.ts000066400000000000000000000057021476356526200171340ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as environments from "./environments"; import * as core from "./core"; import { Prompts } from "./api/resources/prompts/client/Client"; import { Tools } from "./api/resources/tools/client/Client"; import { Datasets } from "./api/resources/datasets/client/Client"; import { Evaluators } from "./api/resources/evaluators/client/Client"; import { Flows } from "./api/resources/flows/client/Client"; import { Directories } from "./api/resources/directories/client/Client"; import { Files } from "./api/resources/files/client/Client"; import { Evaluations } from "./api/resources/evaluations/client/Client"; import { Logs } from "./api/resources/logs/client/Client"; export declare namespace HumanloopClient { export interface Options { environment?: core.Supplier; /** Specify a custom URL to connect the client to. */ baseUrl?: core.Supplier; apiKey?: core.Supplier; fetcher?: core.FetchFunction; } export interface RequestOptions { /** The maximum time to wait for a response in seconds. */ timeoutInSeconds?: number; /** The number of times to retry the request. Defaults to 2. */ maxRetries?: number; /** A hook to abort the request. */ abortSignal?: AbortSignal; /** Additional headers to include in the request. */ headers?: Record; } } export class HumanloopClient { protected _prompts: Prompts | undefined; protected _tools: Tools | undefined; protected _datasets: Datasets | undefined; protected _evaluators: Evaluators | undefined; protected _flows: Flows | undefined; protected _directories: Directories | undefined; protected _files: Files | undefined; protected _evaluations: Evaluations | undefined; protected _logs: Logs | undefined; constructor(protected readonly _options: HumanloopClient.Options = {}) {} public get prompts(): Prompts { return (this._prompts ??= new Prompts(this._options)); } public get tools(): Tools { return (this._tools ??= new Tools(this._options)); } public get datasets(): Datasets { return (this._datasets ??= new Datasets(this._options)); } public get evaluators(): Evaluators { return (this._evaluators ??= new Evaluators(this._options)); } public get flows(): Flows { return (this._flows ??= new Flows(this._options)); } public get directories(): Directories { return (this._directories ??= new Directories(this._options)); } public get files(): Files { return (this._files ??= new Files(this._options)); } public get evaluations(): Evaluations { return (this._evaluations ??= new Evaluations(this._options)); } public get logs(): Logs { return (this._logs ??= new Logs(this._options)); } } humanloop-node-0.8.16/src/api/000077500000000000000000000000001476356526200161135ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/errors/000077500000000000000000000000001476356526200174275ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/errors/UnprocessableEntityError.ts000066400000000000000000000007601476356526200250160ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as errors from "../../errors/index"; import * as Humanloop from "../index"; export class UnprocessableEntityError extends errors.HumanloopError { constructor(body: Humanloop.HttpValidationError) { super({ message: "UnprocessableEntityError", statusCode: 422, body: body, }); Object.setPrototypeOf(this, UnprocessableEntityError.prototype); } } humanloop-node-0.8.16/src/api/errors/index.ts000066400000000000000000000000541476356526200211050ustar00rootroot00000000000000export * from "./UnprocessableEntityError"; humanloop-node-0.8.16/src/api/index.ts000066400000000000000000000001201476356526200175630ustar00rootroot00000000000000export * from "./resources"; export * from "./types"; export * from "./errors"; humanloop-node-0.8.16/src/api/resources/000077500000000000000000000000001476356526200201255ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/datasets/000077500000000000000000000000001476356526200217355ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/datasets/client/000077500000000000000000000000001476356526200232135ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/datasets/client/Client.ts000066400000000000000000001707471476356526200250210ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as environments from "../../../../environments"; import * as core from "../../../../core"; import * as Humanloop from "../../../index"; import * as serializers from "../../../../serialization/index"; import urlJoin from "url-join"; import * as errors from "../../../../errors/index"; import * as fs from "fs"; import { Blob } from "buffer"; export declare namespace Datasets { export interface Options { environment?: core.Supplier; /** Specify a custom URL to connect the client to. */ baseUrl?: core.Supplier; apiKey?: core.Supplier; fetcher?: core.FetchFunction; } export interface RequestOptions { /** The maximum time to wait for a response in seconds. */ timeoutInSeconds?: number; /** The number of times to retry the request. Defaults to 2. */ maxRetries?: number; /** A hook to abort the request. */ abortSignal?: AbortSignal; /** Additional headers to include in the request. */ headers?: Record; } } /** * Datasets are collections of input-output pairs that you can use within Humanloop for Evaluations. * * #### What is a Dataset? * * A Dataset is a collection of unique Datapoints. These Datapoints contain `inputs` and `target` fields. The `inputs` * are used to populate a Prompt's template and the `target` can be referenced by Evaluators to evaluate the quality of * the generated output. * * Note that Humanloop automatically deduplicates Datapoints. If you try to add a Datapoint that already exists, it will * be ignored. If you intentionally want to add a duplicate Datapoint, you can add a unique identifier to the Datapoint's * inputs such as `{_dedupe_id: }`. * * #### Creating Dataset versions * * Datasets have immutable versions. To add/remove Datapoint to/from an existing version, use the **Create** endpoint * and specify `action` as `"add"` or `"remove"` respectively. You may also specify the `version_id` or `environment` * query parameters to identify the existing version to base the new version on. If neither is provided, the version * deployed to the default Environment will be used. * */ export class Datasets { constructor(protected readonly _options: Datasets.Options = {}) {} /** * List all Datasets. * * @param {Humanloop.ListDatasetsGetRequest} request * @param {Datasets.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.datasets.list({ * size: 1 * }) */ public async list( request: Humanloop.ListDatasetsGetRequest = {}, requestOptions?: Datasets.RequestOptions, ): Promise> { const list = async (request: Humanloop.ListDatasetsGetRequest): Promise => { const { page, size, name, userFilter, sortBy, order } = request; const _queryParams: Record = {}; if (page != null) { _queryParams["page"] = page.toString(); } if (size != null) { _queryParams["size"] = size.toString(); } if (name != null) { _queryParams["name"] = name; } if (userFilter != null) { _queryParams["user_filter"] = userFilter; } if (sortBy != null) { _queryParams["sort_by"] = serializers.ProjectSortBy.jsonOrThrow(sortBy, { unrecognizedObjectKeys: "strip", }); } if (order != null) { _queryParams["order"] = serializers.SortOrder.jsonOrThrow(order, { unrecognizedObjectKeys: "strip" }); } const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, "datasets", ), method: "GET", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.PaginatedDatasetResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling GET /datasets."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } }; let _offset = request?.page != null ? request?.page : 1; return new core.Pageable({ response: await list(request), hasNextPage: (response) => (response?.records ?? []).length > 0, getItems: (response) => response?.records ?? [], loadPage: (_response) => { _offset += 1; return list(core.setObjectProperty(request, "page", _offset)); }, }); } /** * Create a Dataset or update it with a new version if it already exists. * * Datasets are identified by the `ID` or their `path`. The datapoints determine the versions of the Dataset. * * By default, the new Dataset version will be set to the list of Datapoints provided in * the request. You can also create a new version by adding or removing Datapoints from an existing version * by specifying `action` as `add` or `remove` respectively. In this case, you may specify * the `version_id` or `environment` query parameters to identify the existing version to base * the new version on. If neither is provided, the latest created version will be used. * * If you provide a commit message, then the new version will be committed; * otherwise it will be uncommitted. If you try to commit an already committed version, * an exception will be raised. * * Humanloop also deduplicates Datapoints. If you try to add a Datapoint that already * exists, it will be ignored. If you intentionally want to add a duplicate Datapoint, * you can add a unique identifier to the Datapoint's inputs such as `{_dedupe_id: }`. * * @param {Humanloop.DatasetRequest} request * @param {Datasets.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.datasets.upsert({ * path: "test-questions", * datapoints: [{ * inputs: { * "question": "What is the capital of France?" * }, * target: { * "answer": "Paris" * } * }, { * inputs: { * "question": "Who wrote Hamlet?" * }, * target: { * "answer": "William Shakespeare" * } * }], * action: "set", * commitMessage: "Add two new questions and answers" * }) * * @example * await client.datasets.upsert({ * path: "datasets/support-queries", * datapoints: [{ * messages: [{ * role: "user", * content: "How do i manage my organizations API keys?\n" * }], * target: { * "response": "Hey, thanks for your questions. Here are steps for how to achieve: 1. Log in to the Humanloop Dashboard \n\n2. Click on \"Organization Settings.\"\n If you do not see this option, you might need to contact your organization admin to gain the necessary permissions.\n\n3. Within the settings or organization settings, select the option labeled \"API Keys\" on the left. Here you will be able to view and manage your API keys.\n\n4. You will see a list of existing API keys. You can perform various actions, such as:\n - **Generate New API Key:** Click on the \"Generate New Key\" button if you need a new API key.\n - **Revoke an API Key:** If you need to disable an existing key, find the key in the list and click the \"Revoke\" or \"Delete\" button.\n - **Copy an API Key:** If you need to use an existing key, you can copy it to your clipboard by clicking the \"Copy\" button next to the key.\n\n5. **Save and Secure API Keys:** Make sure to securely store any new or existing API keys you are using. Treat them like passwords and do not share them publicly.\n\nIf you encounter any issues or need further assistance, it might be helpful to engage with an engineer or your IT department to ensure you have the necessary permissions and support.\n\nWould you need help with anything else?" * } * }, { * messages: [{ * role: "user", * content: "Hey, can do I use my code evaluator for monitoring my legal-copilot prompt?" * }], * target: { * "response": "Hey, thanks for your questions. Here are steps for how to achieve: 1. Navigate to your Prompt dashboard. \n 2. Select the `Monitoring` button on the top right of the Prompt dashboard \n 3. Within the model select the Version of the Evaluator you want to turn on for monitoring. \n\nWould you need help with anything else?" * } * }], * commitMessage: "Add two new questions and answers" * }) */ public async upsert( request: Humanloop.DatasetRequest, requestOptions?: Datasets.RequestOptions, ): Promise { const { versionId, environment, includeDatapoints, ..._body } = request; const _queryParams: Record = {}; if (versionId != null) { _queryParams["version_id"] = versionId; } if (environment != null) { _queryParams["environment"] = environment; } if (includeDatapoints != null) { _queryParams["include_datapoints"] = includeDatapoints.toString(); } const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, "datasets", ), method: "POST", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", body: serializers.DatasetRequest.jsonOrThrow(_body, { unrecognizedObjectKeys: "strip" }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.DatasetResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling POST /datasets."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Retrieve the Dataset with the given ID. * * Unless `include_datapoints` is set to `true`, the response will not include * the Datapoints. * Use the List Datapoints endpoint (`GET /{id}/datapoints`) to efficiently * retrieve Datapoints for a large Dataset. * * By default, the deployed version of the Dataset is returned. Use the query parameters * `version_id` or `environment` to target a specific version of the Dataset. * * @param {string} id - Unique identifier for Dataset. * @param {Humanloop.GetDatasetsIdGetRequest} request * @param {Datasets.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.datasets.get("ds_b0baF1ca7652", { * versionId: "dsv_6L78pqrdFi2xa", * includeDatapoints: true * }) */ public async get( id: string, request: Humanloop.GetDatasetsIdGetRequest = {}, requestOptions?: Datasets.RequestOptions, ): Promise { const { versionId, environment, includeDatapoints } = request; const _queryParams: Record = {}; if (versionId != null) { _queryParams["version_id"] = versionId; } if (environment != null) { _queryParams["environment"] = environment; } if (includeDatapoints != null) { _queryParams["include_datapoints"] = includeDatapoints.toString(); } const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `datasets/${encodeURIComponent(id)}`, ), method: "GET", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.DatasetResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling GET /datasets/{id}."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Delete the Dataset with the given ID. * * @param {string} id - Unique identifier for Dataset. * @param {Datasets.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.datasets.delete("id") */ public async delete(id: string, requestOptions?: Datasets.RequestOptions): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `datasets/${encodeURIComponent(id)}`, ), method: "DELETE", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return; } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling DELETE /datasets/{id}."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Move the Dataset to a different path or change the name. * * @param {string} id - Unique identifier for Dataset. * @param {Humanloop.UpdateDatasetRequest} request * @param {Datasets.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.datasets.move("id") */ public async move( id: string, request: Humanloop.UpdateDatasetRequest = {}, requestOptions?: Datasets.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `datasets/${encodeURIComponent(id)}`, ), method: "PATCH", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", body: serializers.UpdateDatasetRequest.jsonOrThrow(request, { unrecognizedObjectKeys: "strip" }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.DatasetResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling PATCH /datasets/{id}."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * List all Datapoints for the Dataset with the given ID. * * @param {string} id - Unique identifier for Dataset. * @param {Humanloop.ListDatapointsDatasetsIdDatapointsGetRequest} request * @param {Datasets.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.datasets.listDatapoints("ds_b0baF1ca7652", { * size: 1 * }) */ public async listDatapoints( id: string, request: Humanloop.ListDatapointsDatasetsIdDatapointsGetRequest = {}, requestOptions?: Datasets.RequestOptions, ): Promise> { const list = async ( request: Humanloop.ListDatapointsDatasetsIdDatapointsGetRequest, ): Promise => { const { versionId, environment, page, size } = request; const _queryParams: Record = {}; if (versionId != null) { _queryParams["version_id"] = versionId; } if (environment != null) { _queryParams["environment"] = environment; } if (page != null) { _queryParams["page"] = page.toString(); } if (size != null) { _queryParams["size"] = size.toString(); } const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `datasets/${encodeURIComponent(id)}/datapoints`, ), method: "GET", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.PaginatedDatapointResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError( "Timeout exceeded when calling GET /datasets/{id}/datapoints.", ); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } }; let _offset = request?.page != null ? request?.page : 1; return new core.Pageable({ response: await list(request), hasNextPage: (response) => (response?.records ?? []).length > 0, getItems: (response) => response?.records ?? [], loadPage: (_response) => { _offset += 1; return list(core.setObjectProperty(request, "page", _offset)); }, }); } /** * Get a list of the versions for a Dataset. * * @param {string} id - Unique identifier for Dataset. * @param {Humanloop.ListVersionsDatasetsIdVersionsGetRequest} request * @param {Datasets.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.datasets.listVersions("ds_b0baF1ca7652", { * status: "committed" * }) */ public async listVersions( id: string, request: Humanloop.ListVersionsDatasetsIdVersionsGetRequest = {}, requestOptions?: Datasets.RequestOptions, ): Promise { const { status, includeDatapoints } = request; const _queryParams: Record = {}; if (status != null) { _queryParams["status"] = serializers.VersionStatus.jsonOrThrow(status, { unrecognizedObjectKeys: "strip" }); } if (includeDatapoints != null) { _queryParams["include_datapoints"] = includeDatapoints; } const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `datasets/${encodeURIComponent(id)}/versions`, ), method: "GET", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.ListDatasets.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling GET /datasets/{id}/versions."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Commit a version of the Dataset with a commit message. * * If the version is already committed, an exception will be raised. * * @param {string} id - Unique identifier for Dataset. * @param {string} versionId - Unique identifier for the specific version of the Dataset. * @param {Humanloop.CommitRequest} request * @param {Datasets.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.datasets.commit("ds_b0baF1ca7652", "dsv_6L78pqrdFi2xa", { * commitMessage: "initial commit" * }) */ public async commit( id: string, versionId: string, request: Humanloop.CommitRequest, requestOptions?: Datasets.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `datasets/${encodeURIComponent(id)}/versions/${encodeURIComponent(versionId)}/commit`, ), method: "POST", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", body: serializers.CommitRequest.jsonOrThrow(request, { unrecognizedObjectKeys: "strip" }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.DatasetResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError( "Timeout exceeded when calling POST /datasets/{id}/versions/{version_id}/commit.", ); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Delete a version of the Dataset. * * @param {string} id - Unique identifier for Dataset. * @param {string} versionId - Unique identifier for the specific version of the Dataset. * @param {Datasets.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.datasets.deleteDatasetVersion("id", "version_id") */ public async deleteDatasetVersion( id: string, versionId: string, requestOptions?: Datasets.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `datasets/${encodeURIComponent(id)}/versions/${encodeURIComponent(versionId)}`, ), method: "DELETE", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return; } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError( "Timeout exceeded when calling DELETE /datasets/{id}/versions/{version_id}.", ); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Add Datapoints from a CSV file to a Dataset. * * This will create a new committed version of the Dataset with the Datapoints from the CSV file. * * If either `version_id` or `environment` is provided, the new version will be based on the specified version, * with the Datapoints from the CSV file added to the existing Datapoints in the version. * If neither `version_id` nor `environment` is provided, the new version will be based on the version * of the Dataset that is deployed to the default Environment. * * @param {File | fs.ReadStream | Blob} file * @param {string} id * @param {Humanloop.BodyUploadCsvDatasetsIdDatapointsCsvPost} request * @param {Datasets.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.datasets.uploadCsv(fs.createReadStream("/path/to/your/file"), "id", { * commitMessage: "commit_message" * }) */ public async uploadCsv( file: File | fs.ReadStream | Blob, id: string, request: Humanloop.BodyUploadCsvDatasetsIdDatapointsCsvPost, requestOptions?: Datasets.RequestOptions, ): Promise { const _queryParams: Record = {}; if (request.versionId != null) { _queryParams["version_id"] = request.versionId; } if (request.environment != null) { _queryParams["environment"] = request.environment; } const _request = await core.newFormData(); await _request.appendFile("file", file); _request.append("commit_message", request.commitMessage); const _maybeEncodedRequest = await _request.getRequest(); const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `datasets/${encodeURIComponent(id)}/datapoints/csv`, ), method: "POST", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ..._maybeEncodedRequest.headers, ...requestOptions?.headers, }, queryParameters: _queryParams, requestType: "file", duplex: _maybeEncodedRequest.duplex, body: _maybeEncodedRequest.body, timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.DatasetResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError( "Timeout exceeded when calling POST /datasets/{id}/datapoints/csv.", ); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Deploy Dataset to Environment. * * Set the deployed version for the specified Environment. * * @param {string} id - Unique identifier for Dataset. * @param {string} environmentId - Unique identifier for the Environment to deploy the Version to. * @param {Humanloop.SetDeploymentDatasetsIdEnvironmentsEnvironmentIdPostRequest} request * @param {Datasets.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.datasets.setDeployment("ds_b0baF1ca7652", "staging", { * versionId: "dsv_6L78pqrdFi2xa" * }) */ public async setDeployment( id: string, environmentId: string, request: Humanloop.SetDeploymentDatasetsIdEnvironmentsEnvironmentIdPostRequest, requestOptions?: Datasets.RequestOptions, ): Promise { const { versionId } = request; const _queryParams: Record = {}; _queryParams["version_id"] = versionId; const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `datasets/${encodeURIComponent(id)}/environments/${encodeURIComponent(environmentId)}`, ), method: "POST", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.DatasetResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError( "Timeout exceeded when calling POST /datasets/{id}/environments/{environment_id}.", ); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Remove deployed Dataset from Environment. * * Remove the deployed version for the specified Environment. * * @param {string} id - Unique identifier for Dataset. * @param {string} environmentId - Unique identifier for the Environment to remove the deployment from. * @param {Datasets.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.datasets.removeDeployment("ds_b0baF1ca7652", "staging") */ public async removeDeployment( id: string, environmentId: string, requestOptions?: Datasets.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `datasets/${encodeURIComponent(id)}/environments/${encodeURIComponent(environmentId)}`, ), method: "DELETE", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return; } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError( "Timeout exceeded when calling DELETE /datasets/{id}/environments/{environment_id}.", ); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * List all Environments and their deployed versions for the Dataset. * * @param {string} id - Unique identifier for Dataset. * @param {Datasets.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.datasets.listEnvironments("id") */ public async listEnvironments( id: string, requestOptions?: Datasets.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `datasets/${encodeURIComponent(id)}/environments`, ), method: "GET", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.datasets.listEnvironments.Response.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError( "Timeout exceeded when calling GET /datasets/{id}/environments.", ); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } protected async _getCustomAuthorizationHeaders() { const apiKeyValue = (await core.Supplier.get(this._options.apiKey)) ?? process?.env["HUMANLOOP_API_KEY"]; return { "X-API-KEY": apiKeyValue }; } } humanloop-node-0.8.16/src/api/resources/datasets/client/index.ts000066400000000000000000000000341476356526200246670ustar00rootroot00000000000000export * from "./requests"; humanloop-node-0.8.16/src/api/resources/datasets/client/requests/000077500000000000000000000000001476356526200250665ustar00rootroot00000000000000BodyUploadCsvDatasetsIdDatapointsCsvPost.ts000066400000000000000000000010451476356526200354140ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/datasets/client/requests/** * This file was auto-generated by Fern from our API Definition. */ /** * @example * { * commitMessage: "commit_message" * } */ export interface BodyUploadCsvDatasetsIdDatapointsCsvPost { /** * ID of the specific Dataset version to base the created Version on. */ versionId?: string; /** * Name of the Environment identifying a deployed Version to base the created Version on. */ environment?: string; /** Commit message for the new Dataset version. */ commitMessage: string; } humanloop-node-0.8.16/src/api/resources/datasets/client/requests/DatasetRequest.ts000066400000000000000000000121361476356526200303770ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../../index"; /** * @example * { * path: "test-questions", * datapoints: [{ * inputs: { * "question": "What is the capital of France?" * }, * target: { * "answer": "Paris" * } * }, { * inputs: { * "question": "Who wrote Hamlet?" * }, * target: { * "answer": "William Shakespeare" * } * }], * action: "set", * commitMessage: "Add two new questions and answers" * } * * @example * { * path: "datasets/support-queries", * datapoints: [{ * messages: [{ * role: "user", * content: "How do i manage my organizations API keys?\n" * }], * target: { * "response": "Hey, thanks for your questions. Here are steps for how to achieve: 1. Log in to the Humanloop Dashboard \n\n2. Click on \"Organization Settings.\"\n If you do not see this option, you might need to contact your organization admin to gain the necessary permissions.\n\n3. Within the settings or organization settings, select the option labeled \"API Keys\" on the left. Here you will be able to view and manage your API keys.\n\n4. You will see a list of existing API keys. You can perform various actions, such as:\n - **Generate New API Key:** Click on the \"Generate New Key\" button if you need a new API key.\n - **Revoke an API Key:** If you need to disable an existing key, find the key in the list and click the \"Revoke\" or \"Delete\" button.\n - **Copy an API Key:** If you need to use an existing key, you can copy it to your clipboard by clicking the \"Copy\" button next to the key.\n\n5. **Save and Secure API Keys:** Make sure to securely store any new or existing API keys you are using. Treat them like passwords and do not share them publicly.\n\nIf you encounter any issues or need further assistance, it might be helpful to engage with an engineer or your IT department to ensure you have the necessary permissions and support.\n\nWould you need help with anything else?" * } * }, { * messages: [{ * role: "user", * content: "Hey, can do I use my code evaluator for monitoring my legal-copilot prompt?" * }], * target: { * "response": "Hey, thanks for your questions. Here are steps for how to achieve: 1. Navigate to your Prompt dashboard. \n 2. Select the `Monitoring` button on the top right of the Prompt dashboard \n 3. Within the model select the Version of the Evaluator you want to turn on for monitoring. \n\nWould you need help with anything else?" * } * }], * commitMessage: "Add two new questions and answers" * } */ export interface DatasetRequest { /** * ID of the specific Dataset version to base the created Version on. Only used when `action` is `"add"` or `"remove"`. */ versionId?: string; /** * Name of the Environment identifying a deployed Version to base the created Version on. Only used when `action` is `"add"` or `"remove"`. */ environment?: string; /** * If set to `true`, include all Datapoints in the response. Defaults to `false`. Consider using the paginated List Datapoints endpoint instead. */ includeDatapoints?: boolean; /** Path of the Dataset, including the name. This locates the Dataset in the Humanloop filesystem and is used as as a unique identifier. For example: `folder/name` or just `name`. */ path?: string; /** ID for an existing Dataset. */ id?: string; /** The Datapoints to create this Dataset version with. Modify the `action` field to determine how these Datapoints are used. */ datapoints: Humanloop.CreateDatapointRequest[]; /** * The action to take with the provided Datapoints. * * - If `"set"`, the created version will only contain the Datapoints provided in this request. * - If `"add"`, the created version will contain the Datapoints provided in this request in addition to the Datapoints in the target version. * - If `"remove"`, the created version will contain the Datapoints in the target version except for the Datapoints provided in this request. * * If `"add"` or `"remove"`, one of the `version_id` or `environment` query parameters may be provided. */ action?: Humanloop.UpdateDatesetAction; /** Additional fields to describe the Dataset. Helpful to separate Dataset versions from each other with details on how they were created or used. */ attributes?: Record; /** Message describing the changes made. If provided, a committed version of the Dataset is created. Otherwise, an uncommitted version is created. */ commitMessage?: string; } humanloop-node-0.8.16/src/api/resources/datasets/client/requests/GetDatasetsIdGetRequest.ts000066400000000000000000000012001476356526200321250ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * @example * { * versionId: "dsv_6L78pqrdFi2xa", * includeDatapoints: true * } */ export interface GetDatasetsIdGetRequest { /** * A specific Version ID of the Dataset to retrieve. */ versionId?: string; /** * Name of the Environment to retrieve a deployed Version from. */ environment?: string; /** * If set to `true`, include all Datapoints in the response. Defaults to `false`. Consider using the paginated List Datapoints endpoint instead. */ includeDatapoints?: boolean; } ListDatapointsDatasetsIdDatapointsGetRequest.ts000066400000000000000000000010751476356526200363320ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/datasets/client/requests/** * This file was auto-generated by Fern from our API Definition. */ /** * @example * { * size: 1 * } */ export interface ListDatapointsDatasetsIdDatapointsGetRequest { /** * A specific Version ID of the Dataset to retrieve. */ versionId?: string; /** * Name of the Environment to retrieve a deployed Version from. */ environment?: string; /** * Page number for pagination. */ page?: number; /** * Page size for pagination. Number of Datapoints to fetch. */ size?: number; } humanloop-node-0.8.16/src/api/resources/datasets/client/requests/ListDatasetsGetRequest.ts000066400000000000000000000014441476356526200320560ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../../index"; /** * @example * { * size: 1 * } */ export interface ListDatasetsGetRequest { /** * Page offset for pagination. */ page?: number; /** * Page size for pagination. Number of Datasets to fetch. */ size?: number; /** * Case-insensitive filter for Dataset name. */ name?: string; /** * Case-insensitive filter for users in the Dataset. This filter matches against both email address and name of users. */ userFilter?: string; /** * Field to sort Datasets by */ sortBy?: Humanloop.ProjectSortBy; /** * Direction to sort by. */ order?: Humanloop.SortOrder; } ListVersionsDatasetsIdVersionsGetRequest.ts000066400000000000000000000011251476356526200355320ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/datasets/client/requests/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../../index"; /** * @example * { * status: "committed" * } */ export interface ListVersionsDatasetsIdVersionsGetRequest { /** * Filter versions by status: 'uncommitted', 'committed'. If no status is provided, all versions are returned. */ status?: Humanloop.VersionStatus; /** * If set to 'latest_committed', include the Datapoints for the latest committed version. Defaults to `None`. */ includeDatapoints?: "latest_committed"; } SetDeploymentDatasetsIdEnvironmentsEnvironmentIdPostRequest.ts000066400000000000000000000005241476356526200414530ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/datasets/client/requests/** * This file was auto-generated by Fern from our API Definition. */ /** * @example * { * versionId: "dsv_6L78pqrdFi2xa" * } */ export interface SetDeploymentDatasetsIdEnvironmentsEnvironmentIdPostRequest { /** * Unique identifier for the specific version of the Dataset. */ versionId: string; } humanloop-node-0.8.16/src/api/resources/datasets/client/requests/UpdateDatasetRequest.ts000066400000000000000000000005371476356526200315440ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * @example * {} */ export interface UpdateDatasetRequest { /** Path of the Dataset including the Dataset name, which is used as a unique identifier. */ path?: string; /** Name of the Dataset, which is used as a unique identifier. */ name?: string; } humanloop-node-0.8.16/src/api/resources/datasets/client/requests/index.ts000066400000000000000000000013541476356526200265500ustar00rootroot00000000000000export { type ListDatasetsGetRequest } from "./ListDatasetsGetRequest"; export { type DatasetRequest } from "./DatasetRequest"; export { type GetDatasetsIdGetRequest } from "./GetDatasetsIdGetRequest"; export { type UpdateDatasetRequest } from "./UpdateDatasetRequest"; export { type ListDatapointsDatasetsIdDatapointsGetRequest } from "./ListDatapointsDatasetsIdDatapointsGetRequest"; export { type ListVersionsDatasetsIdVersionsGetRequest } from "./ListVersionsDatasetsIdVersionsGetRequest"; export { type BodyUploadCsvDatasetsIdDatapointsCsvPost } from "./BodyUploadCsvDatasetsIdDatapointsCsvPost"; export { type SetDeploymentDatasetsIdEnvironmentsEnvironmentIdPostRequest } from "./SetDeploymentDatasetsIdEnvironmentsEnvironmentIdPostRequest"; humanloop-node-0.8.16/src/api/resources/datasets/index.ts000066400000000000000000000000321476356526200234070ustar00rootroot00000000000000export * from "./client"; humanloop-node-0.8.16/src/api/resources/directories/000077500000000000000000000000001476356526200224415ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/directories/client/000077500000000000000000000000001476356526200237175ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/directories/client/Client.ts000066400000000000000000000451461476356526200255170ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as environments from "../../../../environments"; import * as core from "../../../../core"; import * as Humanloop from "../../../index"; import urlJoin from "url-join"; import * as serializers from "../../../../serialization/index"; import * as errors from "../../../../errors/index"; export declare namespace Directories { export interface Options { environment?: core.Supplier; /** Specify a custom URL to connect the client to. */ baseUrl?: core.Supplier; apiKey?: core.Supplier; fetcher?: core.FetchFunction; } export interface RequestOptions { /** The maximum time to wait for a response in seconds. */ timeoutInSeconds?: number; /** The number of times to retry the request. Defaults to 2. */ maxRetries?: number; /** A hook to abort the request. */ abortSignal?: AbortSignal; /** Additional headers to include in the request. */ headers?: Record; } } export class Directories { constructor(protected readonly _options: Directories.Options = {}) {} /** * Retrieve a list of all Directories. * * @param {Directories.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.directories.list() */ public async list(requestOptions?: Directories.RequestOptions): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, "directories", ), method: "GET", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.directories.list.Response.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling GET /directories."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Creates a Directory. * * @param {Humanloop.CreateDirectoryRequest} request * @param {Directories.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.directories.create() */ public async create( request: Humanloop.CreateDirectoryRequest = {}, requestOptions?: Directories.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, "directories", ), method: "POST", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", body: serializers.CreateDirectoryRequest.jsonOrThrow(request, { unrecognizedObjectKeys: "strip" }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.DirectoryResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling POST /directories."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Fetches a directory by ID. * * @param {string} id - String ID of directory. Starts with `dir_`. * @param {Directories.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.directories.get("id") */ public async get( id: string, requestOptions?: Directories.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `directories/${encodeURIComponent(id)}`, ), method: "GET", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.DirectoryWithParentsAndChildrenResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling GET /directories/{id}."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Delete the Directory with the given ID. * * The Directory must be empty (i.e. contain no Directories or Files). * * @param {string} id - Unique identifier for Directory. Starts with `dir_`. * @param {Directories.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.directories.delete("id") */ public async delete(id: string, requestOptions?: Directories.RequestOptions): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `directories/${encodeURIComponent(id)}`, ), method: "DELETE", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return; } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling DELETE /directories/{id}."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Update the Directory with the given ID. * * @param {string} id - Unique identifier for Directory. Starts with `dir_`. * @param {Humanloop.UpdateDirectoryRequest} request * @param {Directories.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.directories.update("id") */ public async update( id: string, request: Humanloop.UpdateDirectoryRequest = {}, requestOptions?: Directories.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `directories/${encodeURIComponent(id)}`, ), method: "PATCH", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", body: serializers.UpdateDirectoryRequest.jsonOrThrow(request, { unrecognizedObjectKeys: "strip" }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.DirectoryResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling PATCH /directories/{id}."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } protected async _getCustomAuthorizationHeaders() { const apiKeyValue = (await core.Supplier.get(this._options.apiKey)) ?? process?.env["HUMANLOOP_API_KEY"]; return { "X-API-KEY": apiKeyValue }; } } humanloop-node-0.8.16/src/api/resources/directories/client/index.ts000066400000000000000000000000341476356526200253730ustar00rootroot00000000000000export * from "./requests"; humanloop-node-0.8.16/src/api/resources/directories/client/requests/000077500000000000000000000000001476356526200255725ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/directories/client/requests/CreateDirectoryRequest.ts000066400000000000000000000007351476356526200326100ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * @example * {} */ export interface CreateDirectoryRequest { /** Name of the directory to create. */ name?: string; /** ID of the parent directory. Starts with `dir_`. */ parentId?: string; /** Path to create the directory in, relative to the root directory. If the path does not exist, it will be created. Includes name, e.g. `path/to/directory`. */ path?: string; } humanloop-node-0.8.16/src/api/resources/directories/client/requests/UpdateDirectoryRequest.ts000066400000000000000000000007551476356526200326310ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * @example * {} */ export interface UpdateDirectoryRequest { /** Name to set for the directory. */ name?: string; /** ID of the parent directory. Specify this to move directories. Starts with `dir_`. */ parentId?: string; /** Path to move the directory to, relative to the root directory. Specify this to move directories. Includes name, e.g. `path/to/directory`. */ path?: string; } humanloop-node-0.8.16/src/api/resources/directories/client/requests/index.ts000066400000000000000000000002201476356526200272430ustar00rootroot00000000000000export { type CreateDirectoryRequest } from "./CreateDirectoryRequest"; export { type UpdateDirectoryRequest } from "./UpdateDirectoryRequest"; humanloop-node-0.8.16/src/api/resources/directories/index.ts000066400000000000000000000000321476356526200241130ustar00rootroot00000000000000export * from "./client"; humanloop-node-0.8.16/src/api/resources/evaluations/000077500000000000000000000000001476356526200224575ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/evaluations/client/000077500000000000000000000000001476356526200237355ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/evaluations/client/Client.ts000066400000000000000000001604371476356526200255360ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as environments from "../../../../environments"; import * as core from "../../../../core"; import * as Humanloop from "../../../index"; import urlJoin from "url-join"; import * as serializers from "../../../../serialization/index"; import * as errors from "../../../../errors/index"; export declare namespace Evaluations { export interface Options { environment?: core.Supplier; /** Specify a custom URL to connect the client to. */ baseUrl?: core.Supplier; apiKey?: core.Supplier; fetcher?: core.FetchFunction; } export interface RequestOptions { /** The maximum time to wait for a response in seconds. */ timeoutInSeconds?: number; /** The number of times to retry the request. Defaults to 2. */ maxRetries?: number; /** A hook to abort the request. */ abortSignal?: AbortSignal; /** Additional headers to include in the request. */ headers?: Record; } } /** * Evaluations help you measure the performance of your Prompts. * * An Evaluation consists of Runs and a set of Evaluators. These Evaluators judge the Logs in all Runs, * allowing you to compare the performance of different Prompts. * A Run can be created with a specific Dataset and Version, or by specifying the Logs directly. * If a Run is created with a Dataset and Version, Humanloop will automatically start generating Logs, and * the Evaluators will then be run on these Logs. * * Aggregate stats can be viewed in the Humanloop app or retrieved with the **Get Evaluation Stats** endpoint. * * Note that when a Run is created, Humanloop will attempt to reuse any existing Logs for each Datapoint-Version * pair. This means that you can create Runs without generating new Logs unnecessarily. */ export class Evaluations { constructor(protected readonly _options: Evaluations.Options = {}) {} /** * Retrieve a list of Evaluations for the specified File. * * @param {Humanloop.ListEvaluationsGetRequest} request * @param {Evaluations.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.evaluations.list({ * fileId: "pr_30gco7dx6JDq4200GVOHa", * size: 1 * }) */ public async list( request: Humanloop.ListEvaluationsGetRequest, requestOptions?: Evaluations.RequestOptions, ): Promise> { const list = async ( request: Humanloop.ListEvaluationsGetRequest, ): Promise => { const { fileId, page, size } = request; const _queryParams: Record = {}; _queryParams["file_id"] = fileId; if (page != null) { _queryParams["page"] = page.toString(); } if (size != null) { _queryParams["size"] = size.toString(); } const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, "evaluations", ), method: "GET", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.PaginatedEvaluationResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling GET /evaluations."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } }; let _offset = request?.page != null ? request?.page : 1; return new core.Pageable({ response: await list(request), hasNextPage: (response) => (response?.records ?? []).length > 0, getItems: (response) => response?.records ?? [], loadPage: (_response) => { _offset += 1; return list(core.setObjectProperty(request, "page", _offset)); }, }); } /** * Create an Evaluation. * * Create a new Evaluation by specifying the File to evaluate, and a name * for the Evaluation. * You can then add Runs to this Evaluation using the `POST /evaluations/{id}/runs` endpoint. * * @param {Humanloop.CreateEvaluationRequest} request * @param {Evaluations.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.evaluations.create({ * evaluators: [{ * versionId: "version_id" * }] * }) */ public async create( request: Humanloop.CreateEvaluationRequest, requestOptions?: Evaluations.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, "evaluations", ), method: "POST", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", body: serializers.CreateEvaluationRequest.jsonOrThrow(request, { unrecognizedObjectKeys: "strip" }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.EvaluationResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling POST /evaluations."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Add Evaluators to an Evaluation. * * The Evaluators will be run on the Logs generated for the Evaluation. * * @param {string} id - Unique identifier for Evaluation. * @param {Humanloop.AddEvaluatorsRequest} request * @param {Evaluations.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.evaluations.addEvaluators("id", { * evaluators: [{ * versionId: "version_id" * }] * }) */ public async addEvaluators( id: string, request: Humanloop.AddEvaluatorsRequest, requestOptions?: Evaluations.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `evaluations/${encodeURIComponent(id)}/evaluators`, ), method: "POST", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", body: serializers.AddEvaluatorsRequest.jsonOrThrow(request, { unrecognizedObjectKeys: "strip" }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.EvaluationResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError( "Timeout exceeded when calling POST /evaluations/{id}/evaluators.", ); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Remove an Evaluator from an Evaluation. * * The Evaluator will no longer be run on the Logs in the Evaluation. * * @param {string} id - Unique identifier for Evaluation. * @param {string} evaluatorVersionId - Unique identifier for Evaluator Version. * @param {Evaluations.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.evaluations.removeEvaluator("id", "evaluator_version_id") */ public async removeEvaluator( id: string, evaluatorVersionId: string, requestOptions?: Evaluations.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `evaluations/${encodeURIComponent(id)}/evaluators/${encodeURIComponent(evaluatorVersionId)}`, ), method: "DELETE", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.EvaluationResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError( "Timeout exceeded when calling DELETE /evaluations/{id}/evaluators/{evaluator_version_id}.", ); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Get an Evaluation. * * This includes the Evaluators associated with the Evaluation and metadata about the Evaluation, * such as its name. * * To get the Runs associated with the Evaluation, use the `GET /evaluations/{id}/runs` endpoint. * To retrieve stats for the Evaluation, use the `GET /evaluations/{id}/stats` endpoint. * * @param {string} id - Unique identifier for Evaluation. * @param {Evaluations.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.evaluations.get("ev_567yza") */ public async get(id: string, requestOptions?: Evaluations.RequestOptions): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `evaluations/${encodeURIComponent(id)}`, ), method: "GET", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.EvaluationResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling GET /evaluations/{id}."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Delete an Evaluation. * * The Runs and Evaluators in the Evaluation will not be deleted. * * @param {string} id - Unique identifier for Evaluation. * @param {Evaluations.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.evaluations.delete("ev_567yza") */ public async delete(id: string, requestOptions?: Evaluations.RequestOptions): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `evaluations/${encodeURIComponent(id)}`, ), method: "DELETE", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return; } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling DELETE /evaluations/{id}."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * List all Runs for an Evaluation. * * @param {string} id - Unique identifier for Evaluation. * @param {Evaluations.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.evaluations.listRunsForEvaluation("id") */ public async listRunsForEvaluation( id: string, requestOptions?: Evaluations.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `evaluations/${encodeURIComponent(id)}/runs`, ), method: "GET", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.EvaluationRunsResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling GET /evaluations/{id}/runs."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Create an Evaluation Run. * * Optionally specify the Dataset and version to be evaluated. * * Humanloop will automatically start generating Logs and running Evaluators where * `orchestrated=true`. If you are generating Logs yourself, you can set `orchestrated=false` * and then generate and submit the required Logs via the API. * * If `dataset` and `version` are provided, you can set `use_existing_logs=True` to reuse existing Logs, * avoiding generating new Logs unnecessarily. Logs that are associated with the specified Version and have `source_datapoint_id` * referencing a datapoint in the specified Dataset will be associated with the Run. * * To keep updated on the progress of the Run, you can poll the Run using * the `GET /evaluations/{id}/runs` endpoint and check its status. * * @param {string} id - Unique identifier for Evaluation. * @param {Humanloop.CreateRunRequest} request * @param {Evaluations.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.evaluations.createRun("id") */ public async createRun( id: string, request: Humanloop.CreateRunRequest = {}, requestOptions?: Evaluations.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `evaluations/${encodeURIComponent(id)}/runs`, ), method: "POST", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", body: serializers.CreateRunRequest.jsonOrThrow(request, { unrecognizedObjectKeys: "strip" }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.EvaluationRunResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling POST /evaluations/{id}/runs."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Add an existing Run to the specified Evaluation. * * This is useful if you want to compare the Runs in this Evaluation with an existing Run * that exists within another Evaluation. * * @param {string} id - Unique identifier for Evaluation. * @param {string} runId - Unique identifier for Run. * @param {Evaluations.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.evaluations.addExistingRun("id", "run_id") */ public async addExistingRun( id: string, runId: string, requestOptions?: Evaluations.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `evaluations/${encodeURIComponent(id)}/runs/${encodeURIComponent(runId)}`, ), method: "POST", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return _response.body; } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError( "Timeout exceeded when calling POST /evaluations/{id}/runs/{run_id}.", ); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Remove a Run from an Evaluation. * * The Logs and Versions used in the Run will not be deleted. * If this Run is used in any other Evaluations, it will still be available in those Evaluations. * * @param {string} id - Unique identifier for Evaluation. * @param {string} runId - Unique identifier for Run. * @param {Evaluations.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.evaluations.removeRun("id", "run_id") */ public async removeRun(id: string, runId: string, requestOptions?: Evaluations.RequestOptions): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `evaluations/${encodeURIComponent(id)}/runs/${encodeURIComponent(runId)}`, ), method: "DELETE", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return; } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError( "Timeout exceeded when calling DELETE /evaluations/{id}/runs/{run_id}.", ); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Update an Evaluation Run. * * Specify `control=true` to use this Run as the control Run for the Evaluation. * You can cancel a running/pending Run, or mark a Run that uses external or human Evaluators as completed. * * @param {string} id - Unique identifier for Evaluation. * @param {string} runId - Unique identifier for Run. * @param {Humanloop.UpdateEvaluationRunRequest} request * @param {Evaluations.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.evaluations.updateEvaluationRun("id", "run_id") */ public async updateEvaluationRun( id: string, runId: string, request: Humanloop.UpdateEvaluationRunRequest = {}, requestOptions?: Evaluations.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `evaluations/${encodeURIComponent(id)}/runs/${encodeURIComponent(runId)}`, ), method: "PATCH", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", body: serializers.UpdateEvaluationRunRequest.jsonOrThrow(request, { unrecognizedObjectKeys: "strip" }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.EvaluationRunResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError( "Timeout exceeded when calling PATCH /evaluations/{id}/runs/{run_id}.", ); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Add the specified Logs to a Run. * * @param {string} id - Unique identifier for Evaluation. * @param {string} runId - Unique identifier for Run. * @param {Humanloop.AddLogsToRunRequest} request * @param {Evaluations.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.evaluations.addLogsToRun("id", "run_id", { * logIds: ["log_ids"] * }) */ public async addLogsToRun( id: string, runId: string, request: Humanloop.AddLogsToRunRequest, requestOptions?: Evaluations.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `evaluations/${encodeURIComponent(id)}/runs/${encodeURIComponent(runId)}/logs`, ), method: "POST", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", body: serializers.AddLogsToRunRequest.jsonOrThrow(request, { unrecognizedObjectKeys: "strip" }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.EvaluationRunResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError( "Timeout exceeded when calling POST /evaluations/{id}/runs/{run_id}/logs.", ); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Get Evaluation Stats. * * Retrieve aggregate stats for the specified Evaluation. This includes the number of generated Logs for each Run and the * corresponding Evaluator statistics (such as the mean and percentiles). * * @param {string} id - Unique identifier for Evaluation. * @param {Evaluations.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.evaluations.getStats("id") */ public async getStats(id: string, requestOptions?: Evaluations.RequestOptions): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `evaluations/${encodeURIComponent(id)}/stats`, ), method: "GET", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.EvaluationStats.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling GET /evaluations/{id}/stats."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Get the Logs associated to a specific Evaluation. * * This returns the Logs associated to all Runs within with the Evaluation. * * @param {string} id - String ID of evaluation. Starts with `ev_` or `evr_`. * @param {Humanloop.GetLogsEvaluationsIdLogsGetRequest} request * @param {Evaluations.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.evaluations.getLogs("id") */ public async getLogs( id: string, request: Humanloop.GetLogsEvaluationsIdLogsGetRequest = {}, requestOptions?: Evaluations.RequestOptions, ): Promise { const { page, size, runId } = request; const _queryParams: Record = {}; if (page != null) { _queryParams["page"] = page.toString(); } if (size != null) { _queryParams["size"] = size.toString(); } if (runId != null) { if (Array.isArray(runId)) { _queryParams["run_id"] = runId.map((item) => item); } else { _queryParams["run_id"] = runId; } } const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `evaluations/${encodeURIComponent(id)}/logs`, ), method: "GET", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.PaginatedDataEvaluationLogResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling GET /evaluations/{id}/logs."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } protected async _getCustomAuthorizationHeaders() { const apiKeyValue = (await core.Supplier.get(this._options.apiKey)) ?? process?.env["HUMANLOOP_API_KEY"]; return { "X-API-KEY": apiKeyValue }; } } humanloop-node-0.8.16/src/api/resources/evaluations/client/index.ts000066400000000000000000000000341476356526200254110ustar00rootroot00000000000000export * from "./requests"; humanloop-node-0.8.16/src/api/resources/evaluations/client/requests/000077500000000000000000000000001476356526200256105ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/evaluations/client/requests/AddEvaluatorsRequest.ts000066400000000000000000000006271476356526200322740ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../../index"; /** * @example * { * evaluators: [{ * versionId: "version_id" * }] * } */ export interface AddEvaluatorsRequest { /** The Evaluators to add to this Evaluation. */ evaluators: Humanloop.AddEvaluatorsRequestEvaluatorsItem[]; } humanloop-node-0.8.16/src/api/resources/evaluations/client/requests/AddLogsToRunRequest.ts000066400000000000000000000004001476356526200320300ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * @example * { * logIds: ["log_ids"] * } */ export interface AddLogsToRunRequest { /** The IDs of the Logs to add to the Run. */ logIds: string[]; } humanloop-node-0.8.16/src/api/resources/evaluations/client/requests/CreateEvaluationRequest.ts000066400000000000000000000012201476356526200327570ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../../index"; /** * @example * { * evaluators: [{ * versionId: "version_id" * }] * } */ export interface CreateEvaluationRequest { /** The File to associate with the Evaluation. This File contains the Logs you're evaluating. */ file?: Humanloop.FileRequest; /** Name of the Evaluation to help identify it. Must be unique within the associated File. */ name?: string; /** The Evaluators used to evaluate. */ evaluators: Humanloop.CreateEvaluationRequestEvaluatorsItem[]; } humanloop-node-0.8.16/src/api/resources/evaluations/client/requests/CreateRunRequest.ts000066400000000000000000000016031476356526200314210ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../../index"; /** * @example * {} */ export interface CreateRunRequest { /** Dataset to use in this Run. */ dataset?: Humanloop.CreateRunRequestDataset; /** Version to use in this Run. */ version?: Humanloop.CreateRunRequestVersion; /** Whether the Run is orchestrated by Humanloop. If `True`, Humanloop will generate Logs for the Run; `dataset` and `version` must be provided. If `False`, a log for the Prompt/Tool should be submitted by the user via the API. */ orchestrated?: boolean; /** If `True`, the Run will be initialized with existing Logs associated with the Dataset and Version. If `False`, the Run will be initialized with no Logs. Can only be set to `True` when both `dataset` and `version` are provided. */ useExistingLogs?: boolean; } GetLogsEvaluationsIdLogsGetRequest.ts000066400000000000000000000006771476356526200350050ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/evaluations/client/requests/** * This file was auto-generated by Fern from our API Definition. */ /** * @example * {} */ export interface GetLogsEvaluationsIdLogsGetRequest { /** * Page number for pagination. */ page?: number; /** * Page size for pagination. Number of Logs to fetch. */ size?: number; /** * Filter by Run IDs. Only Logs for the specified Runs will be returned. */ runId?: string | string[]; } humanloop-node-0.8.16/src/api/resources/evaluations/client/requests/ListEvaluationsGetRequest.ts000066400000000000000000000010031476356526200333110ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * @example * { * fileId: "pr_30gco7dx6JDq4200GVOHa", * size: 1 * } */ export interface ListEvaluationsGetRequest { /** * Filter by File ID. Only Evaluations for the specified File will be returned. */ fileId: string; /** * Page number for pagination. */ page?: number; /** * Page size for pagination. Number of Evaluations to fetch. */ size?: number; } humanloop-node-0.8.16/src/api/resources/evaluations/client/requests/UpdateEvaluationRunRequest.ts000066400000000000000000000010651476356526200334720ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../../index"; /** * @example * {} */ export interface UpdateEvaluationRunRequest { /** If `True`, this Run will be used as the control in the Evaluation. Stats for other Runs will be compared to this Run. This will replace any existing control Run. */ control?: boolean; /** Used to set the Run to `cancelled` or `completed`. Can only be used if the Run is currently `pending` or `running`. */ status?: Humanloop.EvaluationStatus; } humanloop-node-0.8.16/src/api/resources/evaluations/client/requests/index.ts000066400000000000000000000010121476356526200272610ustar00rootroot00000000000000export { type ListEvaluationsGetRequest } from "./ListEvaluationsGetRequest"; export { type CreateEvaluationRequest } from "./CreateEvaluationRequest"; export { type AddEvaluatorsRequest } from "./AddEvaluatorsRequest"; export { type CreateRunRequest } from "./CreateRunRequest"; export { type UpdateEvaluationRunRequest } from "./UpdateEvaluationRunRequest"; export { type AddLogsToRunRequest } from "./AddLogsToRunRequest"; export { type GetLogsEvaluationsIdLogsGetRequest } from "./GetLogsEvaluationsIdLogsGetRequest"; humanloop-node-0.8.16/src/api/resources/evaluations/index.ts000066400000000000000000000000631476356526200241350ustar00rootroot00000000000000export * from "./types"; export * from "./client"; humanloop-node-0.8.16/src/api/resources/evaluations/types/000077500000000000000000000000001476356526200236235ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/evaluations/types/AddEvaluatorsRequestEvaluatorsItem.ts000066400000000000000000000004171476356526200331710ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../index"; export type AddEvaluatorsRequestEvaluatorsItem = | Humanloop.EvaluatorVersionId | Humanloop.EvaluatorFileId | Humanloop.EvaluatorFilePath; humanloop-node-0.8.16/src/api/resources/evaluations/types/CreateEvaluationRequestEvaluatorsItem.ts000066400000000000000000000004221476356526200336620ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../index"; export type CreateEvaluationRequestEvaluatorsItem = | Humanloop.EvaluatorVersionId | Humanloop.EvaluatorFileId | Humanloop.EvaluatorFilePath; humanloop-node-0.8.16/src/api/resources/evaluations/types/CreateRunRequestDataset.ts000066400000000000000000000004021476356526200307360ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../index"; /** * Dataset to use in this Run. */ export type CreateRunRequestDataset = Humanloop.VersionId | Humanloop.FileId | Humanloop.FilePath; humanloop-node-0.8.16/src/api/resources/evaluations/types/CreateRunRequestVersion.ts000066400000000000000000000004021476356526200307760ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../index"; /** * Version to use in this Run. */ export type CreateRunRequestVersion = Humanloop.VersionId | Humanloop.FileId | Humanloop.FilePath; humanloop-node-0.8.16/src/api/resources/evaluations/types/index.ts000066400000000000000000000003051476356526200253000ustar00rootroot00000000000000export * from "./CreateEvaluationRequestEvaluatorsItem"; export * from "./AddEvaluatorsRequestEvaluatorsItem"; export * from "./CreateRunRequestDataset"; export * from "./CreateRunRequestVersion"; humanloop-node-0.8.16/src/api/resources/evaluators/000077500000000000000000000000001476356526200223125ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/evaluators/client/000077500000000000000000000000001476356526200235705ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/evaluators/client/Client.ts000066400000000000000000001517501476356526200253670ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as environments from "../../../../environments"; import * as core from "../../../../core"; import * as Humanloop from "../../../index"; import * as serializers from "../../../../serialization/index"; import urlJoin from "url-join"; import * as errors from "../../../../errors/index"; export declare namespace Evaluators { export interface Options { environment?: core.Supplier; /** Specify a custom URL to connect the client to. */ baseUrl?: core.Supplier; apiKey?: core.Supplier; fetcher?: core.FetchFunction; } export interface RequestOptions { /** The maximum time to wait for a response in seconds. */ timeoutInSeconds?: number; /** The number of times to retry the request. Defaults to 2. */ maxRetries?: number; /** A hook to abort the request. */ abortSignal?: AbortSignal; /** Additional headers to include in the request. */ headers?: Record; } } export class Evaluators { constructor(protected readonly _options: Evaluators.Options = {}) {} /** * Submit Evaluator judgment for an existing Log. * * Creates a new Log. The evaluated Log will be set as the parent of the created Log. * * @param {Humanloop.CreateEvaluatorLogRequest} request * @param {Evaluators.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.evaluators.log({ * parentId: "parent_id" * }) */ public async log( request: Humanloop.CreateEvaluatorLogRequest, requestOptions?: Evaluators.RequestOptions, ): Promise { const { versionId, environment, ..._body } = request; const _queryParams: Record = {}; if (versionId != null) { _queryParams["version_id"] = versionId; } if (environment != null) { _queryParams["environment"] = environment; } const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, "evaluators/log", ), method: "POST", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", body: serializers.CreateEvaluatorLogRequest.jsonOrThrow(_body, { unrecognizedObjectKeys: "strip" }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.CreateEvaluatorLogResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling POST /evaluators/log."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Get a list of all Evaluators. * * @param {Humanloop.ListEvaluatorsGetRequest} request * @param {Evaluators.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.evaluators.list({ * size: 1 * }) */ public async list( request: Humanloop.ListEvaluatorsGetRequest = {}, requestOptions?: Evaluators.RequestOptions, ): Promise> { const list = async ( request: Humanloop.ListEvaluatorsGetRequest, ): Promise => { const { page, size, name, userFilter, sortBy, order } = request; const _queryParams: Record = {}; if (page != null) { _queryParams["page"] = page.toString(); } if (size != null) { _queryParams["size"] = size.toString(); } if (name != null) { _queryParams["name"] = name; } if (userFilter != null) { _queryParams["user_filter"] = userFilter; } if (sortBy != null) { _queryParams["sort_by"] = serializers.ProjectSortBy.jsonOrThrow(sortBy, { unrecognizedObjectKeys: "strip", }); } if (order != null) { _queryParams["order"] = serializers.SortOrder.jsonOrThrow(order, { unrecognizedObjectKeys: "strip" }); } const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, "evaluators", ), method: "GET", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.PaginatedDataEvaluatorResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling GET /evaluators."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } }; let _offset = request?.page != null ? request?.page : 1; return new core.Pageable({ response: await list(request), hasNextPage: (response) => (response?.records ?? []).length > 0, getItems: (response) => response?.records ?? [], loadPage: (_response) => { _offset += 1; return list(core.setObjectProperty(request, "page", _offset)); }, }); } /** * Create an Evaluator or update it with a new version if it already exists. * * Evaluators are identified by the `ID` or their `path`. The spec provided determines the version of the Evaluator. * * If you provide a commit message, then the new version will be committed; * otherwise it will be uncommitted. If you try to commit an already committed version, * an exception will be raised. * * @param {Humanloop.EvaluatorRequest} request * @param {Evaluators.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.evaluators.upsert({ * path: "Shared Evaluators/Accuracy Evaluator", * spec: { * argumentsType: "target_required", * returnType: "number", * evaluatorType: "python", * code: "def evaluate(answer, target):\n return 0.5" * }, * commitMessage: "Initial commit" * }) */ public async upsert( request: Humanloop.EvaluatorRequest, requestOptions?: Evaluators.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, "evaluators", ), method: "POST", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", body: serializers.EvaluatorRequest.jsonOrThrow(request, { unrecognizedObjectKeys: "strip" }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.EvaluatorResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling POST /evaluators."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Retrieve the Evaluator with the given ID. * * By default, the deployed version of the Evaluator is returned. Use the query parameters * `version_id` or `environment` to target a specific version of the Evaluator. * * @param {string} id - Unique identifier for Evaluator. * @param {Humanloop.GetEvaluatorsIdGetRequest} request * @param {Evaluators.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.evaluators.get("ev_890bcd") */ public async get( id: string, request: Humanloop.GetEvaluatorsIdGetRequest = {}, requestOptions?: Evaluators.RequestOptions, ): Promise { const { versionId, environment } = request; const _queryParams: Record = {}; if (versionId != null) { _queryParams["version_id"] = versionId; } if (environment != null) { _queryParams["environment"] = environment; } const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `evaluators/${encodeURIComponent(id)}`, ), method: "GET", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.EvaluatorResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling GET /evaluators/{id}."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Delete the Evaluator with the given ID. * * @param {string} id - Unique identifier for Evaluator. * @param {Evaluators.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.evaluators.delete("ev_890bcd") */ public async delete(id: string, requestOptions?: Evaluators.RequestOptions): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `evaluators/${encodeURIComponent(id)}`, ), method: "DELETE", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return; } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling DELETE /evaluators/{id}."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Move the Evaluator to a different path or change the name. * * @param {string} id - Unique identifier for Evaluator. * @param {Humanloop.UpdateEvaluatorRequest} request * @param {Evaluators.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.evaluators.move("ev_890bcd", { * path: "new directory/new name" * }) */ public async move( id: string, request: Humanloop.UpdateEvaluatorRequest = {}, requestOptions?: Evaluators.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `evaluators/${encodeURIComponent(id)}`, ), method: "PATCH", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", body: serializers.UpdateEvaluatorRequest.jsonOrThrow(request, { unrecognizedObjectKeys: "strip" }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.EvaluatorResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling PATCH /evaluators/{id}."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Get a list of all the versions of an Evaluator. * * @param {string} id - Unique identifier for the Evaluator. * @param {Humanloop.ListVersionsEvaluatorsIdVersionsGetRequest} request * @param {Evaluators.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.evaluators.listVersions("ev_890bcd") */ public async listVersions( id: string, request: Humanloop.ListVersionsEvaluatorsIdVersionsGetRequest = {}, requestOptions?: Evaluators.RequestOptions, ): Promise { const { status, evaluatorAggregates } = request; const _queryParams: Record = {}; if (status != null) { _queryParams["status"] = serializers.VersionStatus.jsonOrThrow(status, { unrecognizedObjectKeys: "strip" }); } if (evaluatorAggregates != null) { _queryParams["evaluator_aggregates"] = evaluatorAggregates.toString(); } const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `evaluators/${encodeURIComponent(id)}/versions`, ), method: "GET", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.ListEvaluators.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling GET /evaluators/{id}/versions."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Commit a version of the Evaluator with a commit message. * * If the version is already committed, an exception will be raised. * * @param {string} id - Unique identifier for Prompt. * @param {string} versionId - Unique identifier for the specific version of the Evaluator. * @param {Humanloop.CommitRequest} request * @param {Evaluators.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.evaluators.commit("ev_890bcd", "evv_012def", { * commitMessage: "Initial commit" * }) */ public async commit( id: string, versionId: string, request: Humanloop.CommitRequest, requestOptions?: Evaluators.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `evaluators/${encodeURIComponent(id)}/versions/${encodeURIComponent(versionId)}/commit`, ), method: "POST", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", body: serializers.CommitRequest.jsonOrThrow(request, { unrecognizedObjectKeys: "strip" }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.EvaluatorResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError( "Timeout exceeded when calling POST /evaluators/{id}/versions/{version_id}/commit.", ); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Delete a version of the Evaluator. * * @param {string} id - Unique identifier for Evaluator. * @param {string} versionId - Unique identifier for the specific version of the Evaluator. * @param {Evaluators.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.evaluators.deleteEvaluatorVersion("id", "version_id") */ public async deleteEvaluatorVersion( id: string, versionId: string, requestOptions?: Evaluators.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `evaluators/${encodeURIComponent(id)}/versions/${encodeURIComponent(versionId)}`, ), method: "DELETE", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return; } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError( "Timeout exceeded when calling DELETE /evaluators/{id}/versions/{version_id}.", ); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Deploy Evaluator to an Environment. * * Set the deployed version for the specified Environment. This Evaluator * will be used for calls made to the Evaluator in this Environment. * * @param {string} id - Unique identifier for Evaluator. * @param {string} environmentId - Unique identifier for the Environment to deploy the Version to. * @param {Humanloop.SetDeploymentEvaluatorsIdEnvironmentsEnvironmentIdPostRequest} request * @param {Evaluators.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.evaluators.setDeployment("ev_890bcd", "staging", { * versionId: "evv_012def" * }) */ public async setDeployment( id: string, environmentId: string, request: Humanloop.SetDeploymentEvaluatorsIdEnvironmentsEnvironmentIdPostRequest, requestOptions?: Evaluators.RequestOptions, ): Promise { const { versionId } = request; const _queryParams: Record = {}; _queryParams["version_id"] = versionId; const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `evaluators/${encodeURIComponent(id)}/environments/${encodeURIComponent(environmentId)}`, ), method: "POST", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.EvaluatorResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError( "Timeout exceeded when calling POST /evaluators/{id}/environments/{environment_id}.", ); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Remove deployed Evaluator from the Environment. * * Remove the deployed version for the specified Environment. This Evaluator * will no longer be used for calls made to the Evaluator in this Environment. * * @param {string} id - Unique identifier for Evaluator. * @param {string} environmentId - Unique identifier for the Environment to remove the deployment from. * @param {Evaluators.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.evaluators.removeDeployment("ev_890bcd", "staging") */ public async removeDeployment( id: string, environmentId: string, requestOptions?: Evaluators.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `evaluators/${encodeURIComponent(id)}/environments/${encodeURIComponent(environmentId)}`, ), method: "DELETE", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return; } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError( "Timeout exceeded when calling DELETE /evaluators/{id}/environments/{environment_id}.", ); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * List all Environments and their deployed versions for the Evaluator. * * @param {string} id - Unique identifier for Evaluator. * @param {Evaluators.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.evaluators.listEnvironments("ev_890bcd") */ public async listEnvironments( id: string, requestOptions?: Evaluators.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `evaluators/${encodeURIComponent(id)}/environments`, ), method: "GET", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.evaluators.listEnvironments.Response.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError( "Timeout exceeded when calling GET /evaluators/{id}/environments.", ); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Activate and deactivate Evaluators for monitoring the Evaluator. * * An activated Evaluator will automatically be run on all new Logs * within the Evaluator for monitoring purposes. * * @param {string} id * @param {Humanloop.EvaluatorActivationDeactivationRequest} request * @param {Evaluators.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.evaluators.updateMonitoring("id", {}) */ public async updateMonitoring( id: string, request: Humanloop.EvaluatorActivationDeactivationRequest, requestOptions?: Evaluators.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `evaluators/${encodeURIComponent(id)}/evaluators`, ), method: "POST", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", body: serializers.EvaluatorActivationDeactivationRequest.jsonOrThrow(request, { unrecognizedObjectKeys: "strip", }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.EvaluatorResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError( "Timeout exceeded when calling POST /evaluators/{id}/evaluators.", ); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } protected async _getCustomAuthorizationHeaders() { const apiKeyValue = (await core.Supplier.get(this._options.apiKey)) ?? process?.env["HUMANLOOP_API_KEY"]; return { "X-API-KEY": apiKeyValue }; } } humanloop-node-0.8.16/src/api/resources/evaluators/client/index.ts000066400000000000000000000000341476356526200252440ustar00rootroot00000000000000export * from "./requests"; humanloop-node-0.8.16/src/api/resources/evaluators/client/requests/000077500000000000000000000000001476356526200254435ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/evaluators/client/requests/CreateEvaluatorLogRequest.ts000066400000000000000000000065721476356526200331260ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../../index"; /** * @example * { * parentId: "parent_id" * } */ export interface CreateEvaluatorLogRequest { /** * ID of the Evaluator version to log against. */ versionId?: string; /** * Name of the Environment identifying a deployed version to log to. */ environment?: string; /** Path of the Evaluator, including the name. This locates the Evaluator in the Humanloop filesystem and is used as as a unique identifier. For example: `folder/name` or just `name`. */ path?: string; /** ID for an existing Evaluator. */ id?: string; /** When the logged event started. */ startTime?: Date; /** When the logged event ended. */ endTime?: Date; /** Generated output from the LLM. Only populated for LLM Evaluator Logs. */ output?: string; /** User defined timestamp for when the log was created. */ createdAt?: Date; /** Error message if the log is an error. */ error?: string; /** Duration of the logged event in seconds. */ providerLatency?: number; /** Captured log and debug statements. */ stdout?: string; /** Raw request sent to provider. Only populated for LLM Evaluator Logs. */ providerRequest?: Record; /** Raw response received the provider. Only populated for LLM Evaluator Logs. */ providerResponse?: Record; /** The inputs passed to the prompt template. */ inputs?: Record; /** Identifies where the model was called from. */ source?: string; /** Any additional metadata to record. */ metadata?: Record; /** Status of a Log. Set to `incomplete` if you intend to update and eventually complete the Log and want the File's monitoring Evaluators to wait until you mark it as `complete`. If log_status is not provided, observability will pick up the Log as soon as possible. Updating this from specified to unspecified is undefined behavior. */ logStatus?: Humanloop.LogStatus; /** Identifier of the evaluated Log. The newly created Log will have this one set as parent. */ parentId: string; /** Unique identifier for the Datapoint that this Log is derived from. This can be used by Humanloop to associate Logs to Evaluations. If provided, Humanloop will automatically associate this Log to Evaluations that require a Log for this Datapoint-Version pair. */ sourceDatapointId?: string; /** The ID of the parent Log to nest this Log under in a Trace. */ traceParentId?: string; /** End-user ID related to the Log. */ user?: string; /** The name of the Environment the Log is associated to. */ createEvaluatorLogRequestEnvironment?: string; /** Whether the request/response payloads will be stored on Humanloop. */ save?: boolean; /** This will identify a Log. If you don't provide a Log ID, Humanloop will generate one for you. */ logId?: string; /** The message returned by the LLM. Only populated for LLM Evaluator Logs. */ outputMessage?: Humanloop.ChatMessage; /** Evaluator assessment of the Log. */ judgment?: Humanloop.CreateEvaluatorLogRequestJudgment; /** Whether the Log has been manually marked as completed by a user. */ markedCompleted?: boolean; spec?: Humanloop.CreateEvaluatorLogRequestSpec; } humanloop-node-0.8.16/src/api/resources/evaluators/client/requests/EvaluatorRequest.ts000066400000000000000000000016211476356526200313260ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../../index"; /** * @example * { * path: "Shared Evaluators/Accuracy Evaluator", * spec: { * argumentsType: "target_required", * returnType: "number", * evaluatorType: "python", * code: "def evaluate(answer, target):\n return 0.5" * }, * commitMessage: "Initial commit" * } */ export interface EvaluatorRequest { /** Path of the Evaluator, including the name. This locates the Evaluator in the Humanloop filesystem and is used as as a unique identifier. For example: `folder/name` or just `name`. */ path?: string; /** ID for an existing Evaluator. */ id?: string; /** Message describing the changes made. */ commitMessage?: string; spec: Humanloop.EvaluatorRequestSpec; } humanloop-node-0.8.16/src/api/resources/evaluators/client/requests/GetEvaluatorsIdGetRequest.ts000066400000000000000000000005501476356526200330660ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * @example * {} */ export interface GetEvaluatorsIdGetRequest { /** * A specific Version ID of the Evaluator to retrieve. */ versionId?: string; /** * Name of the Environment to retrieve a deployed Version from. */ environment?: string; } humanloop-node-0.8.16/src/api/resources/evaluators/client/requests/ListEvaluatorsGetRequest.ts000066400000000000000000000014561476356526200330130ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../../index"; /** * @example * { * size: 1 * } */ export interface ListEvaluatorsGetRequest { /** * Page offset for pagination. */ page?: number; /** * Page size for pagination. Number of Evaluators to fetch. */ size?: number; /** * Case-insensitive filter for Evaluator name. */ name?: string; /** * Case-insensitive filter for users in the Evaluator. This filter matches against both email address and name of users. */ userFilter?: string; /** * Field to sort Evaluators by */ sortBy?: Humanloop.ProjectSortBy; /** * Direction to sort by. */ order?: Humanloop.SortOrder; } ListVersionsEvaluatorsIdVersionsGetRequest.ts000066400000000000000000000010141476356526200364610ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/evaluators/client/requests/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../../index"; /** * @example * {} */ export interface ListVersionsEvaluatorsIdVersionsGetRequest { /** * Filter versions by status: 'uncommitted', 'committed'. If no status is provided, all versions are returned. */ status?: Humanloop.VersionStatus; /** * Whether to include Evaluator aggregate results for the versions in the response */ evaluatorAggregates?: boolean; } SetDeploymentEvaluatorsIdEnvironmentsEnvironmentIdPostRequest.ts000066400000000000000000000005211476356526200424020ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/evaluators/client/requests/** * This file was auto-generated by Fern from our API Definition. */ /** * @example * { * versionId: "evv_012def" * } */ export interface SetDeploymentEvaluatorsIdEnvironmentsEnvironmentIdPostRequest { /** * Unique identifier for the specific version of the Evaluator. */ versionId: string; } humanloop-node-0.8.16/src/api/resources/evaluators/client/requests/UpdateEvaluatorRequest.ts000066400000000000000000000006311476356526200324710ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * @example * { * path: "new directory/new name" * } */ export interface UpdateEvaluatorRequest { /** Path of the Evaluator including the Evaluator name, which is used as a unique identifier. */ path?: string; /** Name of the Evaluator, which is used as a unique identifier. */ name?: string; } humanloop-node-0.8.16/src/api/resources/evaluators/client/requests/index.ts000066400000000000000000000011621476356526200271220ustar00rootroot00000000000000export { type CreateEvaluatorLogRequest } from "./CreateEvaluatorLogRequest"; export { type ListEvaluatorsGetRequest } from "./ListEvaluatorsGetRequest"; export { type EvaluatorRequest } from "./EvaluatorRequest"; export { type GetEvaluatorsIdGetRequest } from "./GetEvaluatorsIdGetRequest"; export { type UpdateEvaluatorRequest } from "./UpdateEvaluatorRequest"; export { type ListVersionsEvaluatorsIdVersionsGetRequest } from "./ListVersionsEvaluatorsIdVersionsGetRequest"; export { type SetDeploymentEvaluatorsIdEnvironmentsEnvironmentIdPostRequest } from "./SetDeploymentEvaluatorsIdEnvironmentsEnvironmentIdPostRequest"; humanloop-node-0.8.16/src/api/resources/evaluators/index.ts000066400000000000000000000000631476356526200237700ustar00rootroot00000000000000export * from "./types"; export * from "./client"; humanloop-node-0.8.16/src/api/resources/evaluators/types/000077500000000000000000000000001476356526200234565ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/evaluators/types/CreateEvaluatorLogRequestJudgment.ts000066400000000000000000000003141476356526200326230ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * Evaluator assessment of the Log. */ export type CreateEvaluatorLogRequestJudgment = boolean | string | string[] | number; humanloop-node-0.8.16/src/api/resources/evaluators/types/CreateEvaluatorLogRequestSpec.ts000066400000000000000000000004751476356526200317500ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../index"; export type CreateEvaluatorLogRequestSpec = | Humanloop.LlmEvaluatorRequest | Humanloop.CodeEvaluatorRequest | Humanloop.HumanEvaluatorRequest | Humanloop.ExternalEvaluatorRequest; humanloop-node-0.8.16/src/api/resources/evaluators/types/EvaluatorRequestSpec.ts000066400000000000000000000004641476356526200301600ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../index"; export type EvaluatorRequestSpec = | Humanloop.LlmEvaluatorRequest | Humanloop.CodeEvaluatorRequest | Humanloop.HumanEvaluatorRequest | Humanloop.ExternalEvaluatorRequest; humanloop-node-0.8.16/src/api/resources/evaluators/types/index.ts000066400000000000000000000002161476356526200251340ustar00rootroot00000000000000export * from "./CreateEvaluatorLogRequestJudgment"; export * from "./CreateEvaluatorLogRequestSpec"; export * from "./EvaluatorRequestSpec"; humanloop-node-0.8.16/src/api/resources/files/000077500000000000000000000000001476356526200212275ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/files/client/000077500000000000000000000000001476356526200225055ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/files/client/Client.ts000066400000000000000000000247161476356526200243050ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as environments from "../../../../environments"; import * as core from "../../../../core"; import * as Humanloop from "../../../index"; import * as serializers from "../../../../serialization/index"; import urlJoin from "url-join"; import * as errors from "../../../../errors/index"; export declare namespace Files { export interface Options { environment?: core.Supplier; /** Specify a custom URL to connect the client to. */ baseUrl?: core.Supplier; apiKey?: core.Supplier; fetcher?: core.FetchFunction; } export interface RequestOptions { /** The maximum time to wait for a response in seconds. */ timeoutInSeconds?: number; /** The number of times to retry the request. Defaults to 2. */ maxRetries?: number; /** A hook to abort the request. */ abortSignal?: AbortSignal; /** Additional headers to include in the request. */ headers?: Record; } } export class Files { constructor(protected readonly _options: Files.Options = {}) {} /** * Get a paginated list of files. * * @param {Humanloop.ListFilesFilesGetRequest} request * @param {Files.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.files.listFiles() */ public async listFiles( request: Humanloop.ListFilesFilesGetRequest = {}, requestOptions?: Files.RequestOptions, ): Promise { const { page, size, name, template, type: type_, environment, sortBy, order } = request; const _queryParams: Record = {}; if (page != null) { _queryParams["page"] = page.toString(); } if (size != null) { _queryParams["size"] = size.toString(); } if (name != null) { _queryParams["name"] = name; } if (template != null) { _queryParams["template"] = template.toString(); } if (type_ != null) { if (Array.isArray(type_)) { _queryParams["type"] = type_.map((item) => serializers.FileType.jsonOrThrow(item, { unrecognizedObjectKeys: "strip" }), ); } else { _queryParams["type"] = serializers.FileType.jsonOrThrow(type_, { unrecognizedObjectKeys: "strip" }); } } if (environment != null) { _queryParams["environment"] = environment; } if (sortBy != null) { _queryParams["sort_by"] = serializers.ProjectSortBy.jsonOrThrow(sortBy, { unrecognizedObjectKeys: "strip", }); } if (order != null) { _queryParams["order"] = serializers.SortOrder.jsonOrThrow(order, { unrecognizedObjectKeys: "strip" }); } const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, "files", ), method: "GET", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.PaginatedDataUnionPromptResponseToolResponseDatasetResponseEvaluatorResponseFlowResponse.parseOrThrow( _response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }, ); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling GET /files."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Retrieve a File by path. * * @param {Humanloop.BodyRetrieveByPathFilesRetrieveByPathPost} request * @param {Files.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.files.retrieveByPath({ * path: "path" * }) */ public async retrieveByPath( request: Humanloop.BodyRetrieveByPathFilesRetrieveByPathPost, requestOptions?: Files.RequestOptions, ): Promise { const { environment, ..._body } = request; const _queryParams: Record = {}; if (environment != null) { _queryParams["environment"] = environment; } const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, "files/retrieve-by-path", ), method: "POST", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", body: serializers.BodyRetrieveByPathFilesRetrieveByPathPost.jsonOrThrow(_body, { unrecognizedObjectKeys: "strip", }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.RetrieveByPathFilesRetrieveByPathPostResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling POST /files/retrieve-by-path."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } protected async _getCustomAuthorizationHeaders() { const apiKeyValue = (await core.Supplier.get(this._options.apiKey)) ?? process?.env["HUMANLOOP_API_KEY"]; return { "X-API-KEY": apiKeyValue }; } } humanloop-node-0.8.16/src/api/resources/files/client/index.ts000066400000000000000000000000341476356526200241610ustar00rootroot00000000000000export * from "./requests"; humanloop-node-0.8.16/src/api/resources/files/client/requests/000077500000000000000000000000001476356526200243605ustar00rootroot00000000000000BodyRetrieveByPathFilesRetrieveByPathPost.ts000066400000000000000000000005601476356526200350340ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/files/client/requests/** * This file was auto-generated by Fern from our API Definition. */ /** * @example * { * path: "path" * } */ export interface BodyRetrieveByPathFilesRetrieveByPathPost { /** * Name of the Environment to retrieve a deployed Version from. */ environment?: string; /** Path of the File to retrieve. */ path: string; } humanloop-node-0.8.16/src/api/resources/files/client/requests/ListFilesFilesGetRequest.ts000066400000000000000000000017031476356526200316230ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../../index"; /** * @example * {} */ export interface ListFilesFilesGetRequest { /** * Page offset for pagination. */ page?: number; /** * Page size for pagination. Number of files to fetch. */ size?: number; /** * Case-insensitive filter for file name. */ name?: string; /** * Filter to include only template files. */ template?: boolean; /** * List of file types to filter for. */ type?: Humanloop.FileType | Humanloop.FileType[]; /** * Case-sensitive filter for files with a deployment in the specified environment. Requires the environment name. */ environment?: string; /** * Field to sort files by */ sortBy?: Humanloop.ProjectSortBy; /** * Direction to sort by. */ order?: Humanloop.SortOrder; } humanloop-node-0.8.16/src/api/resources/files/client/requests/index.ts000066400000000000000000000002721476356526200260400ustar00rootroot00000000000000export { type ListFilesFilesGetRequest } from "./ListFilesFilesGetRequest"; export { type BodyRetrieveByPathFilesRetrieveByPathPost } from "./BodyRetrieveByPathFilesRetrieveByPathPost"; humanloop-node-0.8.16/src/api/resources/files/index.ts000066400000000000000000000000631476356526200227050ustar00rootroot00000000000000export * from "./types"; export * from "./client"; humanloop-node-0.8.16/src/api/resources/files/types/000077500000000000000000000000001476356526200223735ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/files/types/RetrieveByPathFilesRetrieveByPathPostResponse.ts000066400000000000000000000005201476356526200340230ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../index"; export type RetrieveByPathFilesRetrieveByPathPostResponse = | Humanloop.PromptResponse | Humanloop.ToolResponse | Humanloop.DatasetResponse | Humanloop.EvaluatorResponse | Humanloop.FlowResponse; humanloop-node-0.8.16/src/api/resources/files/types/index.ts000066400000000000000000000001011476356526200240420ustar00rootroot00000000000000export * from "./RetrieveByPathFilesRetrieveByPathPostResponse"; humanloop-node-0.8.16/src/api/resources/flows/000077500000000000000000000000001476356526200212575ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/flows/client/000077500000000000000000000000001476356526200225355ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/flows/client/Client.ts000066400000000000000000001645461476356526200243430ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as environments from "../../../../environments"; import * as core from "../../../../core"; import * as Humanloop from "../../../index"; import * as serializers from "../../../../serialization/index"; import urlJoin from "url-join"; import * as errors from "../../../../errors/index"; export declare namespace Flows { export interface Options { environment?: core.Supplier; /** Specify a custom URL to connect the client to. */ baseUrl?: core.Supplier; apiKey?: core.Supplier; fetcher?: core.FetchFunction; } export interface RequestOptions { /** The maximum time to wait for a response in seconds. */ timeoutInSeconds?: number; /** The number of times to retry the request. Defaults to 2. */ maxRetries?: number; /** A hook to abort the request. */ abortSignal?: AbortSignal; /** Additional headers to include in the request. */ headers?: Record; } } export class Flows { constructor(protected readonly _options: Flows.Options = {}) {} /** * Log to a Flow. * * You can use query parameters `version_id`, or `environment`, to target * an existing version of the Flow. Otherwise, the default deployed version will be chosen. * * If you create the Flow Log with a `log_status` of `incomplete`, you should later update it to `complete` * in order to trigger Evaluators. * * @param {Humanloop.FlowLogRequest} request * @param {Flows.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.flows.log({ * id: "fl_6o701g4jmcanPVHxdqD0O", * flow: { * attributes: { * "prompt": { * "template": "You are a helpful assistant helping with medical anamnesis", * "model": "gpt-4o", * "temperature": 0.8 * }, * "tool": { * "name": "retrieval_tool_v3", * "description": "Retrieval tool for MedQA.", * "source_code": "def retrieval_tool(question: str) -> str:\n pass\n" * } * } * }, * inputs: { * "question": "Patient with a history of diabetes and hypertension presents with chest pain and shortness of breath." * }, * output: "The patient is likely experiencing a myocardial infarction. Immediate medical attention is required.", * logStatus: "incomplete", * startTime: "2024-07-08T22:40:35", * endTime: "2024-07-08T22:40:39" * }) */ public async log( request: Humanloop.FlowLogRequest = {}, requestOptions?: Flows.RequestOptions, ): Promise { const { versionId, environment, ..._body } = request; const _queryParams: Record = {}; if (versionId != null) { _queryParams["version_id"] = versionId; } if (environment != null) { _queryParams["environment"] = environment; } const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, "flows/log", ), method: "POST", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", body: serializers.FlowLogRequest.jsonOrThrow(_body, { unrecognizedObjectKeys: "strip" }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.CreateFlowLogResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling POST /flows/log."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Update the status, inputs, output of a Flow Log. * * Marking a Flow Log as complete will trigger any monitoring Evaluators to run. * Inputs and output (or error) must be provided in order to mark it as complete. * * The end_time log attribute will be set to match the time the log is marked as complete. * * @param {string} logId - Unique identifier of the Flow Log. * @param {Humanloop.UpdateFlowLogRequest} request * @param {Flows.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.flows.updateLog("medqa_experiment_0001", { * inputs: { * "question": "Patient with a history of diabetes and normal tension presents with chest pain and shortness of breath." * }, * output: "The patient is likely experiencing a myocardial infarction. Immediate medical attention is required.", * logStatus: "complete", * error: undefined * }) */ public async updateLog( logId: string, request: Humanloop.UpdateFlowLogRequest = {}, requestOptions?: Flows.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `flows/logs/${encodeURIComponent(logId)}`, ), method: "PATCH", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", body: serializers.UpdateFlowLogRequest.jsonOrThrow(request, { unrecognizedObjectKeys: "strip" }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.FlowLogResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling PATCH /flows/logs/{log_id}."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Retrieve the Flow with the given ID. * * By default, the deployed version of the Flow is returned. Use the query parameters * `version_id` or `environment` to target a specific version of the Flow. * * @param {string} id - Unique identifier for Flow. * @param {Humanloop.GetFlowsIdGetRequest} request * @param {Flows.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.flows.get("fl_6o701g4jmcanPVHxdqD0O") */ public async get( id: string, request: Humanloop.GetFlowsIdGetRequest = {}, requestOptions?: Flows.RequestOptions, ): Promise { const { versionId, environment } = request; const _queryParams: Record = {}; if (versionId != null) { _queryParams["version_id"] = versionId; } if (environment != null) { _queryParams["environment"] = environment; } const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `flows/${encodeURIComponent(id)}`, ), method: "GET", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.FlowResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling GET /flows/{id}."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Delete the Flow with the given ID. * * @param {string} id - Unique identifier for Flow. * @param {Flows.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.flows.delete("fl_6o701g4jmcanPVHxdqD0O") */ public async delete(id: string, requestOptions?: Flows.RequestOptions): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `flows/${encodeURIComponent(id)}`, ), method: "DELETE", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return; } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling DELETE /flows/{id}."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Move the Flow to a different path or change the name. * * @param {string} id - Unique identifier for Flow. * @param {Humanloop.UpdateFlowRequest} request * @param {Flows.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.flows.move("fl_6o701g4jmcanPVHxdqD0O", { * path: "new directory/new name" * }) */ public async move( id: string, request: Humanloop.UpdateFlowRequest = {}, requestOptions?: Flows.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `flows/${encodeURIComponent(id)}`, ), method: "PATCH", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", body: serializers.UpdateFlowRequest.jsonOrThrow(request, { unrecognizedObjectKeys: "strip" }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.FlowResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling PATCH /flows/{id}."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Get a list of Flows. * * @param {Humanloop.ListFlowsGetRequest} request * @param {Flows.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.flows.list({ * size: 1 * }) */ public async list( request: Humanloop.ListFlowsGetRequest = {}, requestOptions?: Flows.RequestOptions, ): Promise> { const list = async (request: Humanloop.ListFlowsGetRequest): Promise => { const { page, size, name, userFilter, sortBy, order } = request; const _queryParams: Record = {}; if (page != null) { _queryParams["page"] = page.toString(); } if (size != null) { _queryParams["size"] = size.toString(); } if (name != null) { _queryParams["name"] = name; } if (userFilter != null) { _queryParams["user_filter"] = userFilter; } if (sortBy != null) { _queryParams["sort_by"] = serializers.ProjectSortBy.jsonOrThrow(sortBy, { unrecognizedObjectKeys: "strip", }); } if (order != null) { _queryParams["order"] = serializers.SortOrder.jsonOrThrow(order, { unrecognizedObjectKeys: "strip" }); } const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, "flows", ), method: "GET", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.PaginatedDataFlowResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling GET /flows."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } }; let _offset = request?.page != null ? request?.page : 1; return new core.Pageable({ response: await list(request), hasNextPage: (response) => (response?.records ?? []).length > 0, getItems: (response) => response?.records ?? [], loadPage: (_response) => { _offset += 1; return list(core.setObjectProperty(request, "page", _offset)); }, }); } /** * Create or update a Flow. * * Flows can also be identified by the `ID` or their `path`. * * If you provide a commit message, then the new version will be committed; * otherwise it will be uncommitted. If you try to commit an already committed version, * an exception will be raised. * * @param {Humanloop.FlowRequest} request * @param {Flows.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.flows.upsert({ * path: "Personal Projects/MedQA Flow", * attributes: { * "prompt": { * "template": "You are a helpful medical assistant helping with medical anamnesis. Answer {{question}}", * "model": "gpt-4o", * "temperature": 0.8 * }, * "tool": { * "name": "retrieval_tool_v3", * "description": "Retrieval tool for MedQA.", * "source_code": "def retrieval_tool(question: str) -> str:\n pass\n" * }, * "commit_message": "Initial commit" * } * }) */ public async upsert( request: Humanloop.FlowRequest, requestOptions?: Flows.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, "flows", ), method: "POST", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", body: serializers.FlowRequest.jsonOrThrow(request, { unrecognizedObjectKeys: "strip" }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.FlowResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling POST /flows."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Get a list of all the versions of a Flow. * * @param {string} id - Unique identifier for Flow. * @param {Humanloop.ListVersionsFlowsIdVersionsGetRequest} request * @param {Flows.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.flows.listVersions("fl_6o701g4jmcanPVHxdqD0O", { * status: "committed" * }) */ public async listVersions( id: string, request: Humanloop.ListVersionsFlowsIdVersionsGetRequest = {}, requestOptions?: Flows.RequestOptions, ): Promise { const { status, evaluatorAggregates } = request; const _queryParams: Record = {}; if (status != null) { _queryParams["status"] = serializers.VersionStatus.jsonOrThrow(status, { unrecognizedObjectKeys: "strip" }); } if (evaluatorAggregates != null) { _queryParams["evaluator_aggregates"] = evaluatorAggregates.toString(); } const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `flows/${encodeURIComponent(id)}/versions`, ), method: "GET", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.ListFlows.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling GET /flows/{id}/versions."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Commit a version of the Flow with a commit message. * * If the version is already committed, an exception will be raised. * * @param {string} id - Unique identifier for Flow. * @param {string} versionId - Unique identifier for the specific version of the Flow. * @param {Humanloop.CommitRequest} request * @param {Flows.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.flows.commit("fl_6o701g4jmcanPVHxdqD0O", "flv_6o701g4jmcanPVHxdqD0O", { * commitMessage: "RAG lookup tool bug fixing" * }) */ public async commit( id: string, versionId: string, request: Humanloop.CommitRequest, requestOptions?: Flows.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `flows/${encodeURIComponent(id)}/versions/${encodeURIComponent(versionId)}/commit`, ), method: "POST", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", body: serializers.CommitRequest.jsonOrThrow(request, { unrecognizedObjectKeys: "strip" }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.FlowResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError( "Timeout exceeded when calling POST /flows/{id}/versions/{version_id}/commit.", ); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Delete a version of the Flow. * * @param {string} id - Unique identifier for Flow. * @param {string} versionId - Unique identifier for the specific version of the Flow. * @param {Flows.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.flows.deleteFlowVersion("id", "version_id") */ public async deleteFlowVersion( id: string, versionId: string, requestOptions?: Flows.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `flows/${encodeURIComponent(id)}/versions/${encodeURIComponent(versionId)}`, ), method: "DELETE", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return; } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError( "Timeout exceeded when calling DELETE /flows/{id}/versions/{version_id}.", ); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Deploy Flow to an Environment. * * Set the deployed version for the specified Environment. This Flow * will be used for calls made to the Flow in this Environment. * * @param {string} id - Unique identifier for Flow. * @param {string} environmentId - Unique identifier for the Environment to deploy the Version to. * @param {Humanloop.SetDeploymentFlowsIdEnvironmentsEnvironmentIdPostRequest} request * @param {Flows.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.flows.setDeployment("fl_6o701g4jmcanPVHxdqD0O", "staging", { * versionId: "flv_6o701g4jmcanPVHxdqD0O" * }) */ public async setDeployment( id: string, environmentId: string, request: Humanloop.SetDeploymentFlowsIdEnvironmentsEnvironmentIdPostRequest, requestOptions?: Flows.RequestOptions, ): Promise { const { versionId } = request; const _queryParams: Record = {}; _queryParams["version_id"] = versionId; const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `flows/${encodeURIComponent(id)}/environments/${encodeURIComponent(environmentId)}`, ), method: "POST", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.FlowResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError( "Timeout exceeded when calling POST /flows/{id}/environments/{environment_id}.", ); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Remove deployed Flow from the Environment. * * Remove the deployed version for the specified Environment. This Flow * will no longer be used for calls made to the Flow in this Environment. * * @param {string} id - Unique identifier for Flow. * @param {string} environmentId - Unique identifier for the Environment to remove the deployment from. * @param {Flows.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.flows.removeDeployment("fl_6o701g4jmcanPVHxdqD0O", "staging") */ public async removeDeployment( id: string, environmentId: string, requestOptions?: Flows.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `flows/${encodeURIComponent(id)}/environments/${encodeURIComponent(environmentId)}`, ), method: "DELETE", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return; } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError( "Timeout exceeded when calling DELETE /flows/{id}/environments/{environment_id}.", ); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * List all Environments and their deployed versions for the Flow. * * @param {string} id - Unique identifier for Flow. * @param {Flows.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.flows.listEnvironments("fl_6o701g4jmcanPVHxdqD0O") */ public async listEnvironments( id: string, requestOptions?: Flows.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `flows/${encodeURIComponent(id)}/environments`, ), method: "GET", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.flows.listEnvironments.Response.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling GET /flows/{id}/environments."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Activate and deactivate Evaluators for monitoring the Flow. * * An activated Evaluator will automatically be run on all new "completed" Logs * within the Flow for monitoring purposes. * * @param {string} id * @param {Humanloop.EvaluatorActivationDeactivationRequest} request * @param {Flows.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.flows.updateMonitoring("fl_6o701g4jmcanPVHxdqD0O", { * activate: [{ * evaluatorVersionId: "evv_1abc4308abd" * }] * }) */ public async updateMonitoring( id: string, request: Humanloop.EvaluatorActivationDeactivationRequest, requestOptions?: Flows.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `flows/${encodeURIComponent(id)}/evaluators`, ), method: "POST", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", body: serializers.EvaluatorActivationDeactivationRequest.jsonOrThrow(request, { unrecognizedObjectKeys: "strip", }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.FlowResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling POST /flows/{id}/evaluators."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } protected async _getCustomAuthorizationHeaders() { const apiKeyValue = (await core.Supplier.get(this._options.apiKey)) ?? process?.env["HUMANLOOP_API_KEY"]; return { "X-API-KEY": apiKeyValue }; } } humanloop-node-0.8.16/src/api/resources/flows/client/index.ts000066400000000000000000000000341476356526200242110ustar00rootroot00000000000000export * from "./requests"; humanloop-node-0.8.16/src/api/resources/flows/client/requests/000077500000000000000000000000001476356526200244105ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/flows/client/requests/FlowLogRequest.ts000066400000000000000000000104521476356526200277040ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../../index"; /** * @example * { * id: "fl_6o701g4jmcanPVHxdqD0O", * flow: { * attributes: { * "prompt": { * "template": "You are a helpful assistant helping with medical anamnesis", * "model": "gpt-4o", * "temperature": 0.8 * }, * "tool": { * "name": "retrieval_tool_v3", * "description": "Retrieval tool for MedQA.", * "source_code": "def retrieval_tool(question: str) -> str:\n pass\n" * } * } * }, * inputs: { * "question": "Patient with a history of diabetes and hypertension presents with chest pain and shortness of breath." * }, * output: "The patient is likely experiencing a myocardial infarction. Immediate medical attention is required.", * logStatus: "incomplete", * startTime: "2024-07-08T22:40:35", * endTime: "2024-07-08T22:40:39" * } */ export interface FlowLogRequest { /** * A specific Version ID of the Flow to log to. */ versionId?: string; /** * Name of the Environment identifying a deployed version to log to. */ environment?: string; /** List of chat messages that were used as an input to the Flow. */ messages?: Humanloop.ChatMessage[]; /** The output message returned by this Flow. */ outputMessage?: Humanloop.ChatMessage; /** Unique identifier for the Run to associate the Log to. */ runId?: string; /** Path of the Flow, including the name. This locates the Flow in the Humanloop filesystem and is used as as a unique identifier. For example: `folder/name` or just `name`. */ path?: string; /** ID for an existing Flow. */ id?: string; /** The start time of the Trace. Will be updated if a child Log with an earlier start time is added. */ startTime?: Date; /** The end time of the Trace. Will be updated if a child Log with a later end time is added. */ endTime?: Date; /** Generated output from your model for the provided inputs. Can be `None` if logging an error, or if creating a parent Log with the intention to populate it later. */ output?: string; /** User defined timestamp for when the log was created. */ createdAt?: Date; /** Error message if the log is an error. */ error?: string; /** Duration of the logged event in seconds. */ providerLatency?: number; /** Captured log and debug statements. */ stdout?: string; /** Raw request sent to provider. */ providerRequest?: Record; /** Raw response received the provider. */ providerResponse?: Record; /** The inputs passed to the prompt template. */ inputs?: Record; /** Identifies where the model was called from. */ source?: string; /** Any additional metadata to record. */ metadata?: Record; /** Status of the Flow Log. When a Log is updated from `incomplete` to `complete`, it becomes available to Monitoring Evaluators. Flow Logs cannot have an unspecified status: they must start as `incomplete` to allow children to be added. Provide `complete` if you don't intend to add children to the trace. */ logStatus?: Humanloop.LogStatus; /** Unique identifier for the Datapoint that this Log is derived from. This can be used by Humanloop to associate Logs to Evaluations. If provided, Humanloop will automatically associate this Log to Evaluations that require a Log for this Datapoint-Version pair. */ sourceDatapointId?: string; /** The ID of the parent Log to nest this Log under in a Trace. */ traceParentId?: string; /** End-user ID related to the Log. */ user?: string; /** The name of the Environment the Log is associated to. */ flowLogRequestEnvironment?: string; /** Whether the request/response payloads will be stored on Humanloop. */ save?: boolean; /** This will identify a Log. If you don't provide a Log ID, Humanloop will generate one for you. */ logId?: string; /** Flow used to generate the Trace. */ flow?: Humanloop.FlowKernelRequest; } humanloop-node-0.8.16/src/api/resources/flows/client/requests/FlowRequest.ts000066400000000000000000000022571476356526200272460ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * @example * { * path: "Personal Projects/MedQA Flow", * attributes: { * "prompt": { * "template": "You are a helpful medical assistant helping with medical anamnesis. Answer {{question}}", * "model": "gpt-4o", * "temperature": 0.8 * }, * "tool": { * "name": "retrieval_tool_v3", * "description": "Retrieval tool for MedQA.", * "source_code": "def retrieval_tool(question: str) -> str:\n pass\n" * }, * "commit_message": "Initial commit" * } * } */ export interface FlowRequest { /** Path of the Flow, including the name. This locates the Flow in the Humanloop filesystem and is used as as a unique identifier. For example: `folder/name` or just `name`. */ path?: string; /** ID for an existing Flow. */ id?: string; /** A key-value object identifying the Flow Version. */ attributes: Record; /** Message describing the changes made. */ commitMessage?: string; } humanloop-node-0.8.16/src/api/resources/flows/client/requests/GetFlowsIdGetRequest.ts000066400000000000000000000005361476356526200310040ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * @example * {} */ export interface GetFlowsIdGetRequest { /** * A specific Version ID of the Flow to retrieve. */ versionId?: string; /** * Name of the Environment to retrieve a deployed Version from. */ environment?: string; } humanloop-node-0.8.16/src/api/resources/flows/client/requests/ListFlowsGetRequest.ts000066400000000000000000000014251476356526200307210ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../../index"; /** * @example * { * size: 1 * } */ export interface ListFlowsGetRequest { /** * Page number for pagination. */ page?: number; /** * Page size for pagination. Number of Flows to fetch. */ size?: number; /** * Case-insensitive filter for Flow name. */ name?: string; /** * Case-insensitive filter for users in the Flow. This filter matches against both email address and name of users. */ userFilter?: string; /** * Field to sort Flows by */ sortBy?: Humanloop.ProjectSortBy; /** * Direction to sort by. */ order?: Humanloop.SortOrder; } ListVersionsFlowsIdVersionsGetRequest.ts000066400000000000000000000010561476356526200344010ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/flows/client/requests/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../../index"; /** * @example * { * status: "committed" * } */ export interface ListVersionsFlowsIdVersionsGetRequest { /** * Filter versions by status: 'uncommitted', 'committed'. If no status is provided, all versions are returned. */ status?: Humanloop.VersionStatus; /** * Whether to include Evaluator aggregate results for the versions in the response */ evaluatorAggregates?: boolean; } SetDeploymentFlowsIdEnvironmentsEnvironmentIdPostRequest.ts000066400000000000000000000005261476356526200403210ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/flows/client/requests/** * This file was auto-generated by Fern from our API Definition. */ /** * @example * { * versionId: "flv_6o701g4jmcanPVHxdqD0O" * } */ export interface SetDeploymentFlowsIdEnvironmentsEnvironmentIdPostRequest { /** * Unique identifier for the specific version of the Flow. */ versionId: string; } humanloop-node-0.8.16/src/api/resources/flows/client/requests/UpdateFlowLogRequest.ts000066400000000000000000000025411476356526200310470ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../../index"; /** * @example * { * inputs: { * "question": "Patient with a history of diabetes and normal tension presents with chest pain and shortness of breath." * }, * output: "The patient is likely experiencing a myocardial infarction. Immediate medical attention is required.", * logStatus: "complete", * error: undefined * } */ export interface UpdateFlowLogRequest { /** List of chat messages that were used as an input to the Flow. */ messages?: Humanloop.ChatMessage[]; /** The output message returned by this Flow. */ outputMessage?: Humanloop.ChatMessage; /** The inputs passed to the Flow Log. */ inputs?: Record; /** The output of the Flow Log. Provide None to unset existing `output` value. Provide either this, `output_message` or `error`. */ output?: string; /** The error message of the Flow Log. Provide None to unset existing `error` value. Provide either this, `output_message` or `output`. */ error?: string; /** Status of the Flow Log. When a Flow Log is updated to `complete`, no more Logs can be added to it. Monitoring Evaluators will only run on `complete` Flow Logs. */ logStatus?: Humanloop.LogStatus; } humanloop-node-0.8.16/src/api/resources/flows/client/requests/UpdateFlowRequest.ts000066400000000000000000000007151476356526200304060ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * @example * { * path: "new directory/new name" * } */ export interface UpdateFlowRequest { /** Path of the Flow including the Flow name, which is used as a unique identifier. */ path?: string; /** Name of the Flow. */ name?: string; /** Unique identifier for the Directory to move Flow to. Starts with `dir_`. */ directoryId?: string; } humanloop-node-0.8.16/src/api/resources/flows/client/requests/index.ts000066400000000000000000000011441476356526200260670ustar00rootroot00000000000000export { type FlowLogRequest } from "./FlowLogRequest"; export { type UpdateFlowLogRequest } from "./UpdateFlowLogRequest"; export { type GetFlowsIdGetRequest } from "./GetFlowsIdGetRequest"; export { type UpdateFlowRequest } from "./UpdateFlowRequest"; export { type ListFlowsGetRequest } from "./ListFlowsGetRequest"; export { type FlowRequest } from "./FlowRequest"; export { type ListVersionsFlowsIdVersionsGetRequest } from "./ListVersionsFlowsIdVersionsGetRequest"; export { type SetDeploymentFlowsIdEnvironmentsEnvironmentIdPostRequest } from "./SetDeploymentFlowsIdEnvironmentsEnvironmentIdPostRequest"; humanloop-node-0.8.16/src/api/resources/flows/index.ts000066400000000000000000000000321476356526200227310ustar00rootroot00000000000000export * from "./client"; humanloop-node-0.8.16/src/api/resources/index.ts000066400000000000000000000015531476356526200216100ustar00rootroot00000000000000export * as prompts from "./prompts"; export * from "./prompts/types"; export * as evaluators from "./evaluators"; export * from "./evaluators/types"; export * as files from "./files"; export * from "./files/types"; export * as evaluations from "./evaluations"; export * from "./evaluations/types"; export * as tools from "./tools"; export * as datasets from "./datasets"; export * as flows from "./flows"; export * as directories from "./directories"; export * as logs from "./logs"; export * from "./prompts/client/requests"; export * from "./tools/client/requests"; export * from "./datasets/client/requests"; export * from "./evaluators/client/requests"; export * from "./flows/client/requests"; export * from "./directories/client/requests"; export * from "./files/client/requests"; export * from "./evaluations/client/requests"; export * from "./logs/client/requests"; humanloop-node-0.8.16/src/api/resources/logs/000077500000000000000000000000001476356526200210715ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/logs/client/000077500000000000000000000000001476356526200223475ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/logs/client/Client.ts000066400000000000000000000367361476356526200241540ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as environments from "../../../../environments"; import * as core from "../../../../core"; import * as Humanloop from "../../../index"; import * as serializers from "../../../../serialization/index"; import urlJoin from "url-join"; import * as errors from "../../../../errors/index"; export declare namespace Logs { export interface Options { environment?: core.Supplier; /** Specify a custom URL to connect the client to. */ baseUrl?: core.Supplier; apiKey?: core.Supplier; fetcher?: core.FetchFunction; } export interface RequestOptions { /** The maximum time to wait for a response in seconds. */ timeoutInSeconds?: number; /** The number of times to retry the request. Defaults to 2. */ maxRetries?: number; /** A hook to abort the request. */ abortSignal?: AbortSignal; /** Additional headers to include in the request. */ headers?: Record; } } /** * Logs contain the inputs and outputs of each time a Prompt, Tool or Evaluator is called. * * Humanloop automatically records the inputs and outputs when you Call a Prompt or Tool and saves a Log. * Evaluator Logs are also created when an Evaluator is run on a Log. * * You can manually create Logs through the API. * * ... * * */ export class Logs { constructor(protected readonly _options: Logs.Options = {}) {} /** * List all Logs for the given filter criteria. * * @param {Humanloop.ListLogsGetRequest} request * @param {Logs.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.logs.list({ * fileId: "file_123abc", * size: 1 * }) */ public async list( request: Humanloop.ListLogsGetRequest, requestOptions?: Logs.RequestOptions, ): Promise> { const list = async (request: Humanloop.ListLogsGetRequest): Promise => { const { fileId, page, size, versionId, versionStatus, id, search, metadataSearch, startDate, endDate, includeParent, inTraceFilter, sample, includeTraceChildren, } = request; const _queryParams: Record = {}; _queryParams["file_id"] = fileId; if (page != null) { _queryParams["page"] = page.toString(); } if (size != null) { _queryParams["size"] = size.toString(); } if (versionId != null) { _queryParams["version_id"] = versionId; } if (versionStatus != null) { _queryParams["version_status"] = serializers.VersionStatus.jsonOrThrow(versionStatus, { unrecognizedObjectKeys: "strip", }); } if (id != null) { if (Array.isArray(id)) { _queryParams["id"] = id.map((item) => item); } else { _queryParams["id"] = id; } } if (search != null) { _queryParams["search"] = search; } if (metadataSearch != null) { _queryParams["metadata_search"] = metadataSearch; } if (startDate != null) { _queryParams["start_date"] = startDate.toISOString(); } if (endDate != null) { _queryParams["end_date"] = endDate.toISOString(); } if (includeParent != null) { _queryParams["include_parent"] = includeParent.toString(); } if (inTraceFilter != null) { if (Array.isArray(inTraceFilter)) { _queryParams["in_trace_filter"] = inTraceFilter.map((item) => item.toString()); } else { _queryParams["in_trace_filter"] = inTraceFilter.toString(); } } if (sample != null) { _queryParams["sample"] = sample.toString(); } if (includeTraceChildren != null) { _queryParams["include_trace_children"] = includeTraceChildren.toString(); } const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, "logs", ), method: "GET", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.PaginatedDataLogResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling GET /logs."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } }; let _offset = request?.page != null ? request?.page : 1; return new core.Pageable({ response: await list(request), hasNextPage: (response) => (response?.records ?? []).length > 0, getItems: (response) => response?.records ?? [], loadPage: (_response) => { _offset += 1; return list(core.setObjectProperty(request, "page", _offset)); }, }); } /** * Delete Logs with the given IDs. * * @param {Humanloop.LogsDeleteRequest} request * @param {Logs.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.logs.delete({ * id: "prv_Wu6zx1lAWJRqOyL8nWuZk" * }) */ public async delete( request: Humanloop.LogsDeleteRequest = {}, requestOptions?: Logs.RequestOptions, ): Promise { const { id } = request; const _queryParams: Record = {}; if (id != null) { if (Array.isArray(id)) { _queryParams["id"] = id.map((item) => item); } else { _queryParams["id"] = id; } } const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, "logs", ), method: "DELETE", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return; } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling DELETE /logs."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Retrieve the Log with the given ID. * * @param {string} id - Unique identifier for Log. * @param {Logs.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.logs.get("prv_Wu6zx1lAWJRqOyL8nWuZk") */ public async get(id: string, requestOptions?: Logs.RequestOptions): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `logs/${encodeURIComponent(id)}`, ), method: "GET", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.LogResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling GET /logs/{id}."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } protected async _getCustomAuthorizationHeaders() { const apiKeyValue = (await core.Supplier.get(this._options.apiKey)) ?? process?.env["HUMANLOOP_API_KEY"]; return { "X-API-KEY": apiKeyValue }; } } humanloop-node-0.8.16/src/api/resources/logs/client/index.ts000066400000000000000000000000341476356526200240230ustar00rootroot00000000000000export * from "./requests"; humanloop-node-0.8.16/src/api/resources/logs/client/requests/000077500000000000000000000000001476356526200242225ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/logs/client/requests/ListLogsGetRequest.ts000066400000000000000000000041141476356526200303430ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../../index"; /** * @example * { * fileId: "file_123abc", * size: 1 * } */ export interface ListLogsGetRequest { /** * Unique identifier for the File to list Logs for. */ fileId: string; /** * Page number for pagination. */ page?: number; /** * Page size for pagination. Number of Logs to fetch. */ size?: number; /** * If provided, only Logs belonging to the specified Version will be returned. */ versionId?: string; /** * If provided, only Logs belonging to Versions with the specified status will be returned. */ versionStatus?: Humanloop.VersionStatus; /** * If provided, returns Logs whose IDs contain any of the specified values as substrings. */ id?: string | string[]; /** * If provided, only Logs that contain the provided string in its inputs and output will be returned. */ search?: string; /** * If provided, only Logs that contain the provided string in its metadata will be returned. */ metadataSearch?: string; /** * If provided, only Logs created after the specified date will be returned. */ startDate?: Date; /** * If provided, only Logs created before the specified date will be returned. */ endDate?: Date; /** * If true, include the full parent Log in the response. Only applicable when retrieving Evaluator Logs. */ includeParent?: boolean; /** * If true, return Logs that are associated to a Trace. False, return Logs that are not associated to a Trace. */ inTraceFilter?: boolean | boolean[]; /** * If provided, limit the response to a random subset of logs from the filtered results. (This will be an approximate sample, not a strict limit.) */ sample?: number; /** * If true, populate `trace_children` for the retrieved Logs. Only applicable when retrieving Flow Logs. */ includeTraceChildren?: boolean; } humanloop-node-0.8.16/src/api/resources/logs/client/requests/LogsDeleteRequest.ts000066400000000000000000000004401476356526200301700ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * @example * { * id: "prv_Wu6zx1lAWJRqOyL8nWuZk" * } */ export interface LogsDeleteRequest { /** * Unique identifiers for the Logs to delete. */ id?: string | string[]; } humanloop-node-0.8.16/src/api/resources/logs/client/requests/index.ts000066400000000000000000000001761476356526200257050ustar00rootroot00000000000000export { type ListLogsGetRequest } from "./ListLogsGetRequest"; export { type LogsDeleteRequest } from "./LogsDeleteRequest"; humanloop-node-0.8.16/src/api/resources/logs/index.ts000066400000000000000000000000321476356526200225430ustar00rootroot00000000000000export * from "./client"; humanloop-node-0.8.16/src/api/resources/prompts/000077500000000000000000000000001476356526200216315ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/prompts/client/000077500000000000000000000000001476356526200231075ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/prompts/client/Client.ts000066400000000000000000002274641476356526200247140ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as environments from "../../../../environments"; import * as core from "../../../../core"; import * as Humanloop from "../../../index"; import * as serializers from "../../../../serialization/index"; import urlJoin from "url-join"; import * as errors from "../../../../errors/index"; import * as stream from "stream"; export declare namespace Prompts { export interface Options { environment?: core.Supplier; /** Specify a custom URL to connect the client to. */ baseUrl?: core.Supplier; apiKey?: core.Supplier; fetcher?: core.FetchFunction; } export interface RequestOptions { /** The maximum time to wait for a response in seconds. */ timeoutInSeconds?: number; /** The number of times to retry the request. Defaults to 2. */ maxRetries?: number; /** A hook to abort the request. */ abortSignal?: AbortSignal; /** Additional headers to include in the request. */ headers?: Record; } } /** * Prompts define how a large language model behaves. * * #### What is a Prompt? * * A Prompt on Humanloop encapsulates the base instructions and other configuration for how a large language model should * perform a specific task. * * Prompts have immutable versions that you can **Commit** and **Deploy**. * To use a Prompt, you can **Call** it to create a generation and you can **Log** generations manually. * * #### Referencing Prompts * * Prompts are referenced by their unique ID or path. * * You can perform actions on a specific Prompt version by specifying either the `version_id` * or `environment` query parameter in the request. If you provide a `version_id`, Humanloop will * use the specified version of the Prompt. If you provide an `environment`, Humanloop will use the * version of the Prompt that is currently deployed to that Environment. * If you do not provide either a `version_id` or `environment`, Humanloop will use the Prompt version * that is deployed to the default Environment. * */ export class Prompts { constructor(protected readonly _options: Prompts.Options = {}) {} /** * Log to a Prompt. * * You can use query parameters `version_id`, or `environment`, to target * an existing version of the Prompt. Otherwise, the default deployed version will be chosen. * * Instead of targeting an existing version explicitly, you can instead pass in * Prompt details in the request body. In this case, we will check if the details correspond * to an existing version of the Prompt. If they do not, we will create a new version. This is helpful * in the case where you are storing or deriving your Prompt details in code. * * @param {Humanloop.PromptLogRequest} request * @param {Prompts.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.prompts.log({ * path: "persona", * prompt: { * model: "gpt-4", * template: [{ * role: "system", * content: "You are {{person}}. Answer questions as this person. Do not break character." * }] * }, * messages: [{ * role: "user", * content: "What really happened at Roswell?" * }], * inputs: { * "person": "Trump" * }, * createdAt: "2024-07-19T00:29:35.178992", * error: undefined, * providerLatency: 6.5931549072265625, * outputMessage: { * content: "Well, you know, there is so much secrecy involved in government, folks, it's unbelievable. They don't want to tell you everything. They don't tell me everything! But about Roswell, it's a very popular question. I know, I just know, that something very, very peculiar happened there. Was it a weather balloon? Maybe. Was it something extraterrestrial? Could be. I'd love to go down and open up all the classified documents, believe me, I would. But they don't let that happen. The Deep State, folks, the Deep State. They're unbelievable. They want to keep everything a secret. But whatever the truth is, I can tell you this: it's something big, very very big. Tremendous, in fact.", * role: "assistant" * }, * promptTokens: 100, * outputTokens: 220, * promptCost: 0.00001, * outputCost: 0.0002, * finishReason: "stop" * }) */ public async log( request: Humanloop.PromptLogRequest = {}, requestOptions?: Prompts.RequestOptions, ): Promise { const { versionId, environment, ..._body } = request; const _queryParams: Record = {}; if (versionId != null) { _queryParams["version_id"] = versionId; } if (environment != null) { _queryParams["environment"] = environment; } const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, "prompts/log", ), method: "POST", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", body: serializers.PromptLogRequest.jsonOrThrow(_body, { unrecognizedObjectKeys: "strip" }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.CreatePromptLogResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling POST /prompts/log."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Update a Log. * * Update the details of a Log with the given ID. * * @param {string} id - Unique identifier for Prompt. * @param {string} logId - Unique identifier for the Log. * @param {Humanloop.PromptLogUpdateRequest} request * @param {Prompts.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.prompts.updateLog("id", "log_id") */ public async updateLog( id: string, logId: string, request: Humanloop.PromptLogUpdateRequest = {}, requestOptions?: Prompts.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `prompts/${encodeURIComponent(id)}/log/${encodeURIComponent(logId)}`, ), method: "PATCH", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", body: serializers.PromptLogUpdateRequest.jsonOrThrow(request, { unrecognizedObjectKeys: "strip" }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.LogResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError( "Timeout exceeded when calling PATCH /prompts/{id}/log/{log_id}.", ); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Call a Prompt. * * Calling a Prompt calls the model provider before logging * the request, responses and metadata to Humanloop. * * You can use query parameters `version_id`, or `environment`, to target * an existing version of the Prompt. Otherwise the default deployed version will be chosen. * * Instead of targeting an existing version explicitly, you can instead pass in * Prompt details in the request body. In this case, we will check if the details correspond * to an existing version of the Prompt. If they do not, we will create a new version. This is helpful * in the case where you are storing or deriving your Prompt details in code. */ public async callStream( request: Humanloop.PromptsCallStreamRequest, requestOptions?: Prompts.RequestOptions, ): Promise> { const { versionId, environment, ..._body } = request; const _queryParams: Record = {}; if (versionId != null) { _queryParams["version_id"] = versionId; } if (environment != null) { _queryParams["environment"] = environment; } const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, "prompts/call", ), method: "POST", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", body: { ...serializers.PromptsCallStreamRequest.jsonOrThrow(_body, { unrecognizedObjectKeys: "strip" }), stream: true, }, responseType: "sse", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return new core.Stream({ stream: _response.body, parse: async (data) => { return serializers.PromptCallStreamResponse.parseOrThrow(data, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); }, signal: requestOptions?.abortSignal, eventShape: { type: "sse", streamTerminator: "[DONE]", }, }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling POST /prompts/call."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Call a Prompt. * * Calling a Prompt calls the model provider before logging * the request, responses and metadata to Humanloop. * * You can use query parameters `version_id`, or `environment`, to target * an existing version of the Prompt. Otherwise the default deployed version will be chosen. * * Instead of targeting an existing version explicitly, you can instead pass in * Prompt details in the request body. In this case, we will check if the details correspond * to an existing version of the Prompt. If they do not, we will create a new version. This is helpful * in the case where you are storing or deriving your Prompt details in code. * * @param {Humanloop.PromptsCallRequest} request * @param {Prompts.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.prompts.call({ * path: "persona", * prompt: { * model: "gpt-4", * template: [{ * role: "system", * content: "You are stockbot. Return latest prices." * }], * tools: [{ * name: "get_stock_price", * description: "Get current stock price", * parameters: { * "type": "object", * "properties": { * "ticker_symbol": { * "type": "string", * "name": "Ticker Symbol", * "description": "Ticker symbol of the stock" * } * }, * "required": [] * } * }] * }, * messages: [{ * role: "user", * content: "latest apple" * }] * }) * * @example * await client.prompts.call({ * path: "persona", * prompt: { * model: "gpt-4", * template: [{ * role: "system", * content: "You are {{person}}. Answer any questions as this person. Do not break character." * }] * }, * messages: [{ * role: "user", * content: "What really happened at Roswell?" * }], * inputs: { * "person": "Trump" * } * }) * * @example * await client.prompts.call({ * versionId: "prv_Wu6zx1lAWJRqOyL8nWuZk", * path: "persona", * messages: [{ * role: "user", * content: "What really happened at Roswell?" * }], * inputs: { * "person": "Trump" * } * }) */ public async call( request: Humanloop.PromptsCallRequest, requestOptions?: Prompts.RequestOptions, ): Promise { const { versionId, environment, ..._body } = request; const _queryParams: Record = {}; if (versionId != null) { _queryParams["version_id"] = versionId; } if (environment != null) { _queryParams["environment"] = environment; } const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, "prompts/call", ), method: "POST", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", body: { ...serializers.PromptsCallRequest.jsonOrThrow(_body, { unrecognizedObjectKeys: "strip" }), stream: false, }, timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.PromptCallResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling POST /prompts/call."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Get a list of all Prompts. * * @param {Humanloop.ListPromptsGetRequest} request * @param {Prompts.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.prompts.list({ * size: 1 * }) */ public async list( request: Humanloop.ListPromptsGetRequest = {}, requestOptions?: Prompts.RequestOptions, ): Promise> { const list = async ( request: Humanloop.ListPromptsGetRequest, ): Promise => { const { page, size, name, userFilter, sortBy, order } = request; const _queryParams: Record = {}; if (page != null) { _queryParams["page"] = page.toString(); } if (size != null) { _queryParams["size"] = size.toString(); } if (name != null) { _queryParams["name"] = name; } if (userFilter != null) { _queryParams["user_filter"] = userFilter; } if (sortBy != null) { _queryParams["sort_by"] = serializers.ProjectSortBy.jsonOrThrow(sortBy, { unrecognizedObjectKeys: "strip", }); } if (order != null) { _queryParams["order"] = serializers.SortOrder.jsonOrThrow(order, { unrecognizedObjectKeys: "strip" }); } const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, "prompts", ), method: "GET", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.PaginatedDataPromptResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling GET /prompts."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } }; let _offset = request?.page != null ? request?.page : 1; return new core.Pageable({ response: await list(request), hasNextPage: (response) => (response?.records ?? []).length > 0, getItems: (response) => response?.records ?? [], loadPage: (_response) => { _offset += 1; return list(core.setObjectProperty(request, "page", _offset)); }, }); } /** * Create a Prompt or update it with a new version if it already exists. * * Prompts are identified by the `ID` or their `path`. The parameters (i.e. the prompt template, temperature, model etc.) determine the versions of the Prompt. * * If you provide a commit message, then the new version will be committed; * otherwise it will be uncommitted. If you try to commit an already committed version, * an exception will be raised. * * @param {Humanloop.PromptRequest} request * @param {Prompts.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.prompts.upsert({ * path: "Personal Projects/Coding Assistant", * model: "gpt-4o", * endpoint: "chat", * template: [{ * content: "You are a helpful coding assistant specialising in {{language}}", * role: "system" * }], * provider: "openai", * maxTokens: -1, * temperature: 0.7, * commitMessage: "Initial commit" * }) */ public async upsert( request: Humanloop.PromptRequest, requestOptions?: Prompts.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, "prompts", ), method: "POST", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", body: serializers.PromptRequest.jsonOrThrow(request, { unrecognizedObjectKeys: "strip" }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.PromptResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling POST /prompts."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Retrieve the Prompt with the given ID. * * By default, the deployed version of the Prompt is returned. Use the query parameters * `version_id` or `environment` to target a specific version of the Prompt. * * @param {string} id - Unique identifier for Prompt. * @param {Humanloop.GetPromptsIdGetRequest} request * @param {Prompts.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.prompts.get("pr_30gco7dx6JDq4200GVOHa") */ public async get( id: string, request: Humanloop.GetPromptsIdGetRequest = {}, requestOptions?: Prompts.RequestOptions, ): Promise { const { versionId, environment } = request; const _queryParams: Record = {}; if (versionId != null) { _queryParams["version_id"] = versionId; } if (environment != null) { _queryParams["environment"] = environment; } const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `prompts/${encodeURIComponent(id)}`, ), method: "GET", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.PromptResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling GET /prompts/{id}."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Delete the Prompt with the given ID. * * @param {string} id - Unique identifier for Prompt. * @param {Prompts.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.prompts.delete("pr_30gco7dx6JDq4200GVOHa") */ public async delete(id: string, requestOptions?: Prompts.RequestOptions): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `prompts/${encodeURIComponent(id)}`, ), method: "DELETE", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return; } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling DELETE /prompts/{id}."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Move the Prompt to a different path or change the name. * * @param {string} id - Unique identifier for Prompt. * @param {Humanloop.UpdatePromptRequest} request * @param {Prompts.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.prompts.move("pr_30gco7dx6JDq4200GVOHa", { * path: "new directory/new name" * }) */ public async move( id: string, request: Humanloop.UpdatePromptRequest = {}, requestOptions?: Prompts.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `prompts/${encodeURIComponent(id)}`, ), method: "PATCH", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", body: serializers.UpdatePromptRequest.jsonOrThrow(request, { unrecognizedObjectKeys: "strip" }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.PromptResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling PATCH /prompts/{id}."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Retrieve the Prompt with the given ID, including the populated template. * * By default, the deployed version of the Prompt is returned. Use the query parameters * `version_id` or `environment` to target a specific version of the Prompt. * * @param {string} id - Unique identifier for Prompt. * @param {Humanloop.PopulateTemplatePromptsIdPopulatePostRequest} request * @param {Prompts.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.prompts.populateTemplate("id", { * body: { * "key": "value" * } * }) */ public async populateTemplate( id: string, request: Humanloop.PopulateTemplatePromptsIdPopulatePostRequest, requestOptions?: Prompts.RequestOptions, ): Promise { const { versionId, environment, body: _body } = request; const _queryParams: Record = {}; if (versionId != null) { _queryParams["version_id"] = versionId; } if (environment != null) { _queryParams["environment"] = environment; } const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `prompts/${encodeURIComponent(id)}/populate`, ), method: "POST", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", body: serializers.prompts.populateTemplate.Request.jsonOrThrow(_body, { unrecognizedObjectKeys: "strip" }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.PromptResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling POST /prompts/{id}/populate."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Get a list of all the versions of a Prompt. * * @param {string} id - Unique identifier for Prompt. * @param {Humanloop.ListVersionsPromptsIdVersionsGetRequest} request * @param {Prompts.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.prompts.listVersions("pr_30gco7dx6JDq4200GVOHa", { * status: "committed" * }) */ public async listVersions( id: string, request: Humanloop.ListVersionsPromptsIdVersionsGetRequest = {}, requestOptions?: Prompts.RequestOptions, ): Promise { const { status, evaluatorAggregates } = request; const _queryParams: Record = {}; if (status != null) { _queryParams["status"] = serializers.VersionStatus.jsonOrThrow(status, { unrecognizedObjectKeys: "strip" }); } if (evaluatorAggregates != null) { _queryParams["evaluator_aggregates"] = evaluatorAggregates.toString(); } const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `prompts/${encodeURIComponent(id)}/versions`, ), method: "GET", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.ListPrompts.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling GET /prompts/{id}/versions."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Commit a version of the Prompt with a commit message. * * If the version is already committed, an exception will be raised. * * @param {string} id - Unique identifier for Prompt. * @param {string} versionId - Unique identifier for the specific version of the Prompt. * @param {Humanloop.CommitRequest} request * @param {Prompts.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.prompts.commit("pr_30gco7dx6JDq4200GVOHa", "prv_F34aba5f3asp0", { * commitMessage: "Reiterated point about not discussing sentience" * }) */ public async commit( id: string, versionId: string, request: Humanloop.CommitRequest, requestOptions?: Prompts.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `prompts/${encodeURIComponent(id)}/versions/${encodeURIComponent(versionId)}/commit`, ), method: "POST", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", body: serializers.CommitRequest.jsonOrThrow(request, { unrecognizedObjectKeys: "strip" }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.PromptResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError( "Timeout exceeded when calling POST /prompts/{id}/versions/{version_id}/commit.", ); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Delete a version of the Prompt. * * @param {string} id - Unique identifier for Prompt. * @param {string} versionId - Unique identifier for the specific version of the Prompt. * @param {Prompts.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.prompts.deletePromptVersion("id", "version_id") */ public async deletePromptVersion( id: string, versionId: string, requestOptions?: Prompts.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `prompts/${encodeURIComponent(id)}/versions/${encodeURIComponent(versionId)}`, ), method: "DELETE", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return; } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError( "Timeout exceeded when calling DELETE /prompts/{id}/versions/{version_id}.", ); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Deploy Prompt to an Environment. * * Set the deployed version for the specified Environment. This Prompt * will be used for calls made to the Prompt in this Environment. * * @param {string} id - Unique identifier for Prompt. * @param {string} environmentId - Unique identifier for the Environment to deploy the Version to. * @param {Humanloop.SetDeploymentPromptsIdEnvironmentsEnvironmentIdPostRequest} request * @param {Prompts.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.prompts.setDeployment("id", "environment_id", { * versionId: "version_id" * }) */ public async setDeployment( id: string, environmentId: string, request: Humanloop.SetDeploymentPromptsIdEnvironmentsEnvironmentIdPostRequest, requestOptions?: Prompts.RequestOptions, ): Promise { const { versionId } = request; const _queryParams: Record = {}; _queryParams["version_id"] = versionId; const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `prompts/${encodeURIComponent(id)}/environments/${encodeURIComponent(environmentId)}`, ), method: "POST", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.PromptResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError( "Timeout exceeded when calling POST /prompts/{id}/environments/{environment_id}.", ); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Remove deployed Prompt from the Environment. * * Remove the deployed version for the specified Environment. This Prompt * will no longer be used for calls made to the Prompt in this Environment. * * @param {string} id - Unique identifier for Prompt. * @param {string} environmentId - Unique identifier for the Environment to remove the deployment from. * @param {Prompts.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.prompts.removeDeployment("id", "environment_id") */ public async removeDeployment( id: string, environmentId: string, requestOptions?: Prompts.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `prompts/${encodeURIComponent(id)}/environments/${encodeURIComponent(environmentId)}`, ), method: "DELETE", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return; } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError( "Timeout exceeded when calling DELETE /prompts/{id}/environments/{environment_id}.", ); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * List all Environments and their deployed versions for the Prompt. * * @param {string} id - Unique identifier for Prompt. * @param {Prompts.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.prompts.listEnvironments("pr_30gco7dx6JDq4200GVOHa") */ public async listEnvironments( id: string, requestOptions?: Prompts.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `prompts/${encodeURIComponent(id)}/environments`, ), method: "GET", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.prompts.listEnvironments.Response.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling GET /prompts/{id}/environments."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Activate and deactivate Evaluators for monitoring the Prompt. * * An activated Evaluator will automatically be run on all new Logs * within the Prompt for monitoring purposes. * * @param {string} id * @param {Humanloop.EvaluatorActivationDeactivationRequest} request * @param {Prompts.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.prompts.updateMonitoring("pr_30gco7dx6JDq4200GVOHa", { * activate: [{ * evaluatorVersionId: "evv_1abc4308abd" * }] * }) */ public async updateMonitoring( id: string, request: Humanloop.EvaluatorActivationDeactivationRequest, requestOptions?: Prompts.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `prompts/${encodeURIComponent(id)}/evaluators`, ), method: "POST", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", body: serializers.EvaluatorActivationDeactivationRequest.jsonOrThrow(request, { unrecognizedObjectKeys: "strip", }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.PromptResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling POST /prompts/{id}/evaluators."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } protected async _getCustomAuthorizationHeaders() { const apiKeyValue = (await core.Supplier.get(this._options.apiKey)) ?? process?.env["HUMANLOOP_API_KEY"]; return { "X-API-KEY": apiKeyValue }; } } humanloop-node-0.8.16/src/api/resources/prompts/client/index.ts000066400000000000000000000000341476356526200245630ustar00rootroot00000000000000export * from "./requests"; humanloop-node-0.8.16/src/api/resources/prompts/client/requests/000077500000000000000000000000001476356526200247625ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/prompts/client/requests/GetPromptsIdGetRequest.ts000066400000000000000000000005421476356526200317250ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * @example * {} */ export interface GetPromptsIdGetRequest { /** * A specific Version ID of the Prompt to retrieve. */ versionId?: string; /** * Name of the Environment to retrieve a deployed Version from. */ environment?: string; } humanloop-node-0.8.16/src/api/resources/prompts/client/requests/ListPromptsGetRequest.ts000066400000000000000000000014371476356526200316500ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../../index"; /** * @example * { * size: 1 * } */ export interface ListPromptsGetRequest { /** * Page number for pagination. */ page?: number; /** * Page size for pagination. Number of Prompts to fetch. */ size?: number; /** * Case-insensitive filter for Prompt name. */ name?: string; /** * Case-insensitive filter for users in the Prompt. This filter matches against both email address and name of users. */ userFilter?: string; /** * Field to sort Prompts by */ sortBy?: Humanloop.ProjectSortBy; /** * Direction to sort by. */ order?: Humanloop.SortOrder; } ListVersionsPromptsIdVersionsGetRequest.ts000066400000000000000000000010601476356526200353200ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/prompts/client/requests/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../../index"; /** * @example * { * status: "committed" * } */ export interface ListVersionsPromptsIdVersionsGetRequest { /** * Filter versions by status: 'uncommitted', 'committed'. If no status is provided, all versions are returned. */ status?: Humanloop.VersionStatus; /** * Whether to include Evaluator aggregate results for the versions in the response */ evaluatorAggregates?: boolean; } PopulateTemplatePromptsIdPopulatePostRequest.ts000066400000000000000000000010231476356526200363270ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/prompts/client/requests/** * This file was auto-generated by Fern from our API Definition. */ /** * @example * { * body: { * "key": "value" * } * } */ export interface PopulateTemplatePromptsIdPopulatePostRequest { /** * A specific Version ID of the Prompt to retrieve to populate the template. */ versionId?: string; /** * Name of the Environment to retrieve a deployed Version from to populate the template. */ environment?: string; body: Record; } humanloop-node-0.8.16/src/api/resources/prompts/client/requests/PromptLogRequest.ts000066400000000000000000000137301476356526200306320ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../../index"; /** * @example * { * path: "persona", * prompt: { * model: "gpt-4", * template: [{ * role: "system", * content: "You are {{person}}. Answer questions as this person. Do not break character." * }] * }, * messages: [{ * role: "user", * content: "What really happened at Roswell?" * }], * inputs: { * "person": "Trump" * }, * createdAt: "2024-07-19T00:29:35.178992", * error: undefined, * providerLatency: 6.5931549072265625, * outputMessage: { * content: "Well, you know, there is so much secrecy involved in government, folks, it's unbelievable. They don't want to tell you everything. They don't tell me everything! But about Roswell, it's a very popular question. I know, I just know, that something very, very peculiar happened there. Was it a weather balloon? Maybe. Was it something extraterrestrial? Could be. I'd love to go down and open up all the classified documents, believe me, I would. But they don't let that happen. The Deep State, folks, the Deep State. They're unbelievable. They want to keep everything a secret. But whatever the truth is, I can tell you this: it's something big, very very big. Tremendous, in fact.", * role: "assistant" * }, * promptTokens: 100, * outputTokens: 220, * promptCost: 0.00001, * outputCost: 0.0002, * finishReason: "stop" * } */ export interface PromptLogRequest { /** * A specific Version ID of the Prompt to log to. */ versionId?: string; /** * Name of the Environment identifying a deployed version to log to. */ environment?: string; /** Unique identifier for the Run to associate the Log to. */ runId?: string; /** Path of the Prompt, including the name. This locates the Prompt in the Humanloop filesystem and is used as as a unique identifier. For example: `folder/name` or just `name`. */ path?: string; /** ID for an existing Prompt. */ id?: string; /** The message returned by the provider. */ outputMessage?: Humanloop.ChatMessage; /** Number of tokens in the prompt used to generate the output. */ promptTokens?: number; /** Number of reasoning tokens used to generate the output. */ reasoningTokens?: number; /** Number of tokens in the output generated by the model. */ outputTokens?: number; /** Cost in dollars associated to the tokens in the prompt. */ promptCost?: number; /** Cost in dollars associated to the tokens in the output. */ outputCost?: number; /** Reason the generation finished. */ finishReason?: string; /** The messages passed to the to provider chat endpoint. */ messages?: Humanloop.ChatMessage[]; /** * Controls how the model uses tools. The following options are supported: * - `'none'` means the model will not call any tool and instead generates a message; this is the default when no tools are provided as part of the Prompt. * - `'auto'` means the model can decide to call one or more of the provided tools; this is the default when tools are provided as part of the Prompt. * - `'required'` means the model can decide to call one or more of the provided tools. * - `{'type': 'function', 'function': {name': }}` forces the model to use the named function. */ toolChoice?: Humanloop.PromptLogRequestToolChoice; /** Details of your Prompt. A new Prompt version will be created if the provided details are new. */ prompt?: Humanloop.PromptKernelRequest; /** When the logged event started. */ startTime?: Date; /** When the logged event ended. */ endTime?: Date; /** Generated output from your model for the provided inputs. Can be `None` if logging an error, or if creating a parent Log with the intention to populate it later. */ output?: string; /** User defined timestamp for when the log was created. */ createdAt?: Date; /** Error message if the log is an error. */ error?: string; /** Duration of the logged event in seconds. */ providerLatency?: number; /** Captured log and debug statements. */ stdout?: string; /** Raw request sent to provider. */ providerRequest?: Record; /** Raw response received the provider. */ providerResponse?: Record; /** The inputs passed to the prompt template. */ inputs?: Record; /** Identifies where the model was called from. */ source?: string; /** Any additional metadata to record. */ metadata?: Record; /** Status of a Log. Set to `incomplete` if you intend to update and eventually complete the Log and want the File's monitoring Evaluators to wait until you mark it as `complete`. If log_status is not provided, observability will pick up the Log as soon as possible. Updating this from specified to unspecified is undefined behavior. */ logStatus?: Humanloop.LogStatus; /** Unique identifier for the Datapoint that this Log is derived from. This can be used by Humanloop to associate Logs to Evaluations. If provided, Humanloop will automatically associate this Log to Evaluations that require a Log for this Datapoint-Version pair. */ sourceDatapointId?: string; /** The ID of the parent Log to nest this Log under in a Trace. */ traceParentId?: string; /** End-user ID related to the Log. */ user?: string; /** The name of the Environment the Log is associated to. */ promptLogRequestEnvironment?: string; /** Whether the request/response payloads will be stored on Humanloop. */ save?: boolean; /** This will identify a Log. If you don't provide a Log ID, Humanloop will generate one for you. */ logId?: string; } humanloop-node-0.8.16/src/api/resources/prompts/client/requests/PromptLogUpdateRequest.ts000066400000000000000000000057451476356526200320040ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../../index"; /** * @example * {} */ export interface PromptLogUpdateRequest { /** The message returned by the provider. */ outputMessage?: Humanloop.ChatMessage; /** Number of tokens in the prompt used to generate the output. */ promptTokens?: number; /** Number of reasoning tokens used to generate the output. */ reasoningTokens?: number; /** Number of tokens in the output generated by the model. */ outputTokens?: number; /** Cost in dollars associated to the tokens in the prompt. */ promptCost?: number; /** Cost in dollars associated to the tokens in the output. */ outputCost?: number; /** Reason the generation finished. */ finishReason?: string; /** The messages passed to the to provider chat endpoint. */ messages?: Humanloop.ChatMessage[]; /** * Controls how the model uses tools. The following options are supported: * - `'none'` means the model will not call any tool and instead generates a message; this is the default when no tools are provided as part of the Prompt. * - `'auto'` means the model can decide to call one or more of the provided tools; this is the default when tools are provided as part of the Prompt. * - `'required'` means the model can decide to call one or more of the provided tools. * - `{'type': 'function', 'function': {name': }}` forces the model to use the named function. */ toolChoice?: Humanloop.PromptLogUpdateRequestToolChoice; /** Generated output from your model for the provided inputs. Can be `None` if logging an error, or if creating a parent Log with the intention to populate it later. */ output?: string; /** User defined timestamp for when the log was created. */ createdAt?: Date; /** Error message if the log is an error. */ error?: string; /** Duration of the logged event in seconds. */ providerLatency?: number; /** Captured log and debug statements. */ stdout?: string; /** Raw request sent to provider. */ providerRequest?: Record; /** Raw response received the provider. */ providerResponse?: Record; /** The inputs passed to the prompt template. */ inputs?: Record; /** Identifies where the model was called from. */ source?: string; /** Any additional metadata to record. */ metadata?: Record; /** When the logged event started. */ startTime?: Date; /** When the logged event ended. */ endTime?: Date; /** Status of a Log. Set to `incomplete` if you intend to update and eventually complete the Log and want the File's monitoring Evaluators to wait until you mark it as `complete`. If log_status is not provided, observability will pick up the Log as soon as possible. Updating this from specified to unspecified is undefined behavior. */ logStatus?: Humanloop.LogStatus; } humanloop-node-0.8.16/src/api/resources/prompts/client/requests/PromptRequest.ts000066400000000000000000000103331476356526200301640ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../../index"; /** * @example * { * path: "Personal Projects/Coding Assistant", * model: "gpt-4o", * endpoint: "chat", * template: [{ * content: "You are a helpful coding assistant specialising in {{language}}", * role: "system" * }], * provider: "openai", * maxTokens: -1, * temperature: 0.7, * commitMessage: "Initial commit" * } */ export interface PromptRequest { /** Path of the Prompt, including the name. This locates the Prompt in the Humanloop filesystem and is used as as a unique identifier. For example: `folder/name` or just `name`. */ path?: string; /** ID for an existing Prompt. */ id?: string; /** The model instance used, e.g. `gpt-4`. See [supported models](https://humanloop.com/docs/reference/supported-models) */ model: string; /** The provider model endpoint used. */ endpoint?: Humanloop.ModelEndpoints; /** * The template contains the main structure and instructions for the model, including input variables for dynamic values. * * For chat models, provide the template as a ChatTemplate (a list of messages), e.g. a system message, followed by a user message with an input variable. * For completion models, provide a prompt template as a string. * * Input variables should be specified with double curly bracket syntax: `{{input_name}}`. */ template?: Humanloop.PromptRequestTemplate; /** The template language to use for rendering the template. */ templateLanguage?: Humanloop.TemplateLanguage; /** The company providing the underlying model service. */ provider?: Humanloop.ModelProviders; /** The maximum number of tokens to generate. Provide max_tokens=-1 to dynamically calculate the maximum number of tokens to generate given the length of the prompt */ maxTokens?: number; /** What sampling temperature to use when making a generation. Higher values means the model will be more creative. */ temperature?: number; /** An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. */ topP?: number; /** The string (or list of strings) after which the model will stop generating. The returned text will not contain the stop sequence. */ stop?: Humanloop.PromptRequestStop; /** Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the generation so far. */ presencePenalty?: number; /** Number between -2.0 and 2.0. Positive values penalize new tokens based on how frequently they appear in the generation so far. */ frequencyPenalty?: number; /** Other parameter values to be passed to the provider call. */ other?: Record; /** If specified, model will make a best effort to sample deterministically, but it is not guaranteed. */ seed?: number; /** The format of the response. Only `{"type": "json_object"}` is currently supported for chat. */ responseFormat?: Humanloop.ResponseFormat; /** Give model guidance on how many reasoning tokens it should generate before creating a response to the prompt. This is only supported for OpenAI reasoning (o1, o3-mini) models. */ reasoningEffort?: Humanloop.ReasoningEffort; /** The tool specification that the model can choose to call if Tool calling is supported. */ tools?: Humanloop.ToolFunction[]; /** The IDs of the Tools in your organization that the model can choose to call if Tool calling is supported. The default deployed version of that tool is called. */ linkedTools?: string[]; /** Additional fields to describe the Prompt. Helpful to separate Prompt versions from each other with details on how they were created or used. */ attributes?: Record; /** Message describing the changes made. */ commitMessage?: string; /** Description of the Prompt. */ description?: string; /** List of tags associated with this prompt. */ tags?: string[]; /** Long description of the Prompt. */ readme?: string; } humanloop-node-0.8.16/src/api/resources/prompts/client/requests/PromptsCallRequest.ts000066400000000000000000000132751476356526200311530ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../../index"; /** * @example * { * path: "persona", * prompt: { * model: "gpt-4", * template: [{ * role: "system", * content: "You are stockbot. Return latest prices." * }], * tools: [{ * name: "get_stock_price", * description: "Get current stock price", * parameters: { * "type": "object", * "properties": { * "ticker_symbol": { * "type": "string", * "name": "Ticker Symbol", * "description": "Ticker symbol of the stock" * } * }, * "required": [] * } * }] * }, * messages: [{ * role: "user", * content: "latest apple" * }] * } * * @example * { * path: "persona", * prompt: { * model: "gpt-4", * template: [{ * role: "system", * content: "You are {{person}}. Answer any questions as this person. Do not break character." * }] * }, * messages: [{ * role: "user", * content: "What really happened at Roswell?" * }], * inputs: { * "person": "Trump" * } * } * * @example * { * versionId: "prv_Wu6zx1lAWJRqOyL8nWuZk", * path: "persona", * messages: [{ * role: "user", * content: "What really happened at Roswell?" * }], * inputs: { * "person": "Trump" * } * } */ export interface PromptsCallRequest { /** * A specific Version ID of the Prompt to log to. */ versionId?: string; /** * Name of the Environment identifying a deployed version to log to. */ environment?: string; /** Path of the Prompt, including the name. This locates the Prompt in the Humanloop filesystem and is used as as a unique identifier. For example: `folder/name` or just `name`. */ path?: string; /** ID for an existing Prompt. */ id?: string; /** The messages passed to the to provider chat endpoint. */ messages?: Humanloop.ChatMessage[]; /** * Controls how the model uses tools. The following options are supported: * - `'none'` means the model will not call any tool and instead generates a message; this is the default when no tools are provided as part of the Prompt. * - `'auto'` means the model can decide to call one or more of the provided tools; this is the default when tools are provided as part of the Prompt. * - `'required'` means the model can decide to call one or more of the provided tools. * - `{'type': 'function', 'function': {name': }}` forces the model to use the named function. */ toolChoice?: Humanloop.PromptsCallRequestToolChoice; /** Details of your Prompt. A new Prompt version will be created if the provided details are new. */ prompt?: Humanloop.PromptKernelRequest; /** The inputs passed to the prompt template. */ inputs?: Record; /** Identifies where the model was called from. */ source?: string; /** Any additional metadata to record. */ metadata?: Record; /** When the logged event started. */ startTime?: Date; /** When the logged event ended. */ endTime?: Date; /** Status of a Log. Set to `incomplete` if you intend to update and eventually complete the Log and want the File's monitoring Evaluators to wait until you mark it as `complete`. If log_status is not provided, observability will pick up the Log as soon as possible. Updating this from specified to unspecified is undefined behavior. */ logStatus?: Humanloop.LogStatus; /** Unique identifier for the Datapoint that this Log is derived from. This can be used by Humanloop to associate Logs to Evaluations. If provided, Humanloop will automatically associate this Log to Evaluations that require a Log for this Datapoint-Version pair. */ sourceDatapointId?: string; /** The ID of the parent Log to nest this Log under in a Trace. */ traceParentId?: string; /** End-user ID related to the Log. */ user?: string; /** The name of the Environment the Log is associated to. */ promptsCallRequestEnvironment?: string; /** Whether the request/response payloads will be stored on Humanloop. */ save?: boolean; /** This will identify a Log. If you don't provide a Log ID, Humanloop will generate one for you. */ logId?: string; /** API keys required by each provider to make API calls. The API keys provided here are not stored by Humanloop. If not specified here, Humanloop will fall back to the key saved to your organization. */ providerApiKeys?: Humanloop.ProviderApiKeys; /** The number of generations. */ numSamples?: number; /** Whether to return the inputs in the response. If false, the response will contain an empty dictionary under inputs. This is useful for reducing the size of the response. Defaults to true. */ returnInputs?: boolean; /** Include the log probabilities of the top n tokens in the provider_response */ logprobs?: number; /** The suffix that comes after a completion of inserted text. Useful for completions that act like inserts. */ suffix?: string; } humanloop-node-0.8.16/src/api/resources/prompts/client/requests/PromptsCallStreamRequest.ts000066400000000000000000000075511476356526200323270ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../../index"; /** * @example * {} */ export interface PromptsCallStreamRequest { /** * A specific Version ID of the Prompt to log to. */ versionId?: string; /** * Name of the Environment identifying a deployed version to log to. */ environment?: string; /** Path of the Prompt, including the name. This locates the Prompt in the Humanloop filesystem and is used as as a unique identifier. For example: `folder/name` or just `name`. */ path?: string; /** ID for an existing Prompt. */ id?: string; /** The messages passed to the to provider chat endpoint. */ messages?: Humanloop.ChatMessage[]; /** * Controls how the model uses tools. The following options are supported: * - `'none'` means the model will not call any tool and instead generates a message; this is the default when no tools are provided as part of the Prompt. * - `'auto'` means the model can decide to call one or more of the provided tools; this is the default when tools are provided as part of the Prompt. * - `'required'` means the model can decide to call one or more of the provided tools. * - `{'type': 'function', 'function': {name': }}` forces the model to use the named function. */ toolChoice?: Humanloop.PromptsCallStreamRequestToolChoice; /** Details of your Prompt. A new Prompt version will be created if the provided details are new. */ prompt?: Humanloop.PromptKernelRequest; /** The inputs passed to the prompt template. */ inputs?: Record; /** Identifies where the model was called from. */ source?: string; /** Any additional metadata to record. */ metadata?: Record; /** When the logged event started. */ startTime?: Date; /** When the logged event ended. */ endTime?: Date; /** Status of a Log. Set to `incomplete` if you intend to update and eventually complete the Log and want the File's monitoring Evaluators to wait until you mark it as `complete`. If log_status is not provided, observability will pick up the Log as soon as possible. Updating this from specified to unspecified is undefined behavior. */ logStatus?: Humanloop.LogStatus; /** Unique identifier for the Datapoint that this Log is derived from. This can be used by Humanloop to associate Logs to Evaluations. If provided, Humanloop will automatically associate this Log to Evaluations that require a Log for this Datapoint-Version pair. */ sourceDatapointId?: string; /** The ID of the parent Log to nest this Log under in a Trace. */ traceParentId?: string; /** End-user ID related to the Log. */ user?: string; /** The name of the Environment the Log is associated to. */ promptsCallStreamRequestEnvironment?: string; /** Whether the request/response payloads will be stored on Humanloop. */ save?: boolean; /** This will identify a Log. If you don't provide a Log ID, Humanloop will generate one for you. */ logId?: string; /** API keys required by each provider to make API calls. The API keys provided here are not stored by Humanloop. If not specified here, Humanloop will fall back to the key saved to your organization. */ providerApiKeys?: Humanloop.ProviderApiKeys; /** The number of generations. */ numSamples?: number; /** Whether to return the inputs in the response. If false, the response will contain an empty dictionary under inputs. This is useful for reducing the size of the response. Defaults to true. */ returnInputs?: boolean; /** Include the log probabilities of the top n tokens in the provider_response */ logprobs?: number; /** The suffix that comes after a completion of inserted text. Useful for completions that act like inserts. */ suffix?: string; } SetDeploymentPromptsIdEnvironmentsEnvironmentIdPostRequest.ts000066400000000000000000000005131476356526200412410ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/prompts/client/requests/** * This file was auto-generated by Fern from our API Definition. */ /** * @example * { * versionId: "version_id" * } */ export interface SetDeploymentPromptsIdEnvironmentsEnvironmentIdPostRequest { /** * Unique identifier for the specific version of the Prompt. */ versionId: string; } humanloop-node-0.8.16/src/api/resources/prompts/client/requests/UpdatePromptRequest.ts000066400000000000000000000005471476356526200313350ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * @example * { * path: "new directory/new name" * } */ export interface UpdatePromptRequest { /** Path of the Prompt including the Prompt name, which is used as a unique identifier. */ path?: string; /** Name of the Prompt. */ name?: string; } humanloop-node-0.8.16/src/api/resources/prompts/client/requests/index.ts000066400000000000000000000016041476356526200264420ustar00rootroot00000000000000export { type PromptLogRequest } from "./PromptLogRequest"; export { type PromptLogUpdateRequest } from "./PromptLogUpdateRequest"; export { type PromptsCallStreamRequest } from "./PromptsCallStreamRequest"; export { type PromptsCallRequest } from "./PromptsCallRequest"; export { type ListPromptsGetRequest } from "./ListPromptsGetRequest"; export { type PromptRequest } from "./PromptRequest"; export { type GetPromptsIdGetRequest } from "./GetPromptsIdGetRequest"; export { type UpdatePromptRequest } from "./UpdatePromptRequest"; export { type PopulateTemplatePromptsIdPopulatePostRequest } from "./PopulateTemplatePromptsIdPopulatePostRequest"; export { type ListVersionsPromptsIdVersionsGetRequest } from "./ListVersionsPromptsIdVersionsGetRequest"; export { type SetDeploymentPromptsIdEnvironmentsEnvironmentIdPostRequest } from "./SetDeploymentPromptsIdEnvironmentsEnvironmentIdPostRequest"; humanloop-node-0.8.16/src/api/resources/prompts/index.ts000066400000000000000000000000631476356526200233070ustar00rootroot00000000000000export * from "./types"; export * from "./client"; humanloop-node-0.8.16/src/api/resources/prompts/types/000077500000000000000000000000001476356526200227755ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/prompts/types/PromptLogRequestToolChoice.ts000066400000000000000000000014361476356526200306160ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../index"; /** * Controls how the model uses tools. The following options are supported: * - `'none'` means the model will not call any tool and instead generates a message; this is the default when no tools are provided as part of the Prompt. * - `'auto'` means the model can decide to call one or more of the provided tools; this is the default when tools are provided as part of the Prompt. * - `'required'` means the model can decide to call one or more of the provided tools. * - `{'type': 'function', 'function': {name': }}` forces the model to use the named function. */ export type PromptLogRequestToolChoice = "none" | "auto" | "required" | Humanloop.ToolChoice; humanloop-node-0.8.16/src/api/resources/prompts/types/PromptLogUpdateRequestToolChoice.ts000066400000000000000000000014441476356526200317600ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../index"; /** * Controls how the model uses tools. The following options are supported: * - `'none'` means the model will not call any tool and instead generates a message; this is the default when no tools are provided as part of the Prompt. * - `'auto'` means the model can decide to call one or more of the provided tools; this is the default when tools are provided as part of the Prompt. * - `'required'` means the model can decide to call one or more of the provided tools. * - `{'type': 'function', 'function': {name': }}` forces the model to use the named function. */ export type PromptLogUpdateRequestToolChoice = "none" | "auto" | "required" | Humanloop.ToolChoice; humanloop-node-0.8.16/src/api/resources/prompts/types/PromptRequestStop.ts000066400000000000000000000004121476356526200270420ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * The string (or list of strings) after which the model will stop generating. The returned text will not contain the stop sequence. */ export type PromptRequestStop = string | string[]; humanloop-node-0.8.16/src/api/resources/prompts/types/PromptRequestTemplate.ts000066400000000000000000000011751476356526200276770ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../index"; /** * The template contains the main structure and instructions for the model, including input variables for dynamic values. * * For chat models, provide the template as a ChatTemplate (a list of messages), e.g. a system message, followed by a user message with an input variable. * For completion models, provide a prompt template as a string. * * Input variables should be specified with double curly bracket syntax: `{{input_name}}`. */ export type PromptRequestTemplate = string | Humanloop.ChatMessage[]; humanloop-node-0.8.16/src/api/resources/prompts/types/PromptsCallRequestToolChoice.ts000066400000000000000000000014401476356526200311260ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../index"; /** * Controls how the model uses tools. The following options are supported: * - `'none'` means the model will not call any tool and instead generates a message; this is the default when no tools are provided as part of the Prompt. * - `'auto'` means the model can decide to call one or more of the provided tools; this is the default when tools are provided as part of the Prompt. * - `'required'` means the model can decide to call one or more of the provided tools. * - `{'type': 'function', 'function': {name': }}` forces the model to use the named function. */ export type PromptsCallRequestToolChoice = "none" | "auto" | "required" | Humanloop.ToolChoice; humanloop-node-0.8.16/src/api/resources/prompts/types/PromptsCallStreamRequestToolChoice.ts000066400000000000000000000014461476356526200323100ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../index"; /** * Controls how the model uses tools. The following options are supported: * - `'none'` means the model will not call any tool and instead generates a message; this is the default when no tools are provided as part of the Prompt. * - `'auto'` means the model can decide to call one or more of the provided tools; this is the default when tools are provided as part of the Prompt. * - `'required'` means the model can decide to call one or more of the provided tools. * - `{'type': 'function', 'function': {name': }}` forces the model to use the named function. */ export type PromptsCallStreamRequestToolChoice = "none" | "auto" | "required" | Humanloop.ToolChoice; humanloop-node-0.8.16/src/api/resources/prompts/types/index.ts000066400000000000000000000004261476356526200244560ustar00rootroot00000000000000export * from "./PromptLogRequestToolChoice"; export * from "./PromptLogUpdateRequestToolChoice"; export * from "./PromptsCallStreamRequestToolChoice"; export * from "./PromptsCallRequestToolChoice"; export * from "./PromptRequestTemplate"; export * from "./PromptRequestStop"; humanloop-node-0.8.16/src/api/resources/tools/000077500000000000000000000000001476356526200212655ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/tools/client/000077500000000000000000000000001476356526200225435ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/tools/client/Client.ts000066400000000000000000001634361476356526200243460ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as environments from "../../../../environments"; import * as core from "../../../../core"; import * as Humanloop from "../../../index"; import * as serializers from "../../../../serialization/index"; import urlJoin from "url-join"; import * as errors from "../../../../errors/index"; export declare namespace Tools { export interface Options { environment?: core.Supplier; /** Specify a custom URL to connect the client to. */ baseUrl?: core.Supplier; apiKey?: core.Supplier; fetcher?: core.FetchFunction; } export interface RequestOptions { /** The maximum time to wait for a response in seconds. */ timeoutInSeconds?: number; /** The number of times to retry the request. Defaults to 2. */ maxRetries?: number; /** A hook to abort the request. */ abortSignal?: AbortSignal; /** Additional headers to include in the request. */ headers?: Record; } } export class Tools { constructor(protected readonly _options: Tools.Options = {}) {} /** * Log to a Tool. * * You can use query parameters `version_id`, or `environment`, to target * an existing version of the Tool. Otherwise the default deployed version will be chosen. * * Instead of targeting an existing version explicitly, you can instead pass in * Tool details in the request body. In this case, we will check if the details correspond * to an existing version of the Tool, if not we will create a new version. This is helpful * in the case where you are storing or deriving your Tool details in code. * * @param {Humanloop.ToolLogRequest} request * @param {Tools.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.tools.log({ * path: "math-tool", * tool: { * function: { * name: "multiply", * description: "Multiply two numbers", * parameters: { * "type": "object", * "properties": { * "a": { * "type": "number" * }, * "b": { * "type": "number" * } * }, * "required": [ * "a", * "b" * ] * } * } * }, * inputs: { * "a": 5, * "b": 7 * }, * output: "35" * }) */ public async log( request: Humanloop.ToolLogRequest = {}, requestOptions?: Tools.RequestOptions, ): Promise { const { versionId, environment, ..._body } = request; const _queryParams: Record = {}; if (versionId != null) { _queryParams["version_id"] = versionId; } if (environment != null) { _queryParams["environment"] = environment; } const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, "tools/log", ), method: "POST", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", body: serializers.ToolLogRequest.jsonOrThrow(_body, { unrecognizedObjectKeys: "strip" }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.CreateToolLogResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling POST /tools/log."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Update a Log. * * Update the details of a Log with the given ID. * * @param {string} id - Unique identifier for Prompt. * @param {string} logId - Unique identifier for the Log. * @param {Humanloop.ToolLogUpdateRequest} request * @param {Tools.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.tools.update("id", "log_id") */ public async update( id: string, logId: string, request: Humanloop.ToolLogUpdateRequest = {}, requestOptions?: Tools.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `tools/${encodeURIComponent(id)}/log/${encodeURIComponent(logId)}`, ), method: "PATCH", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", body: serializers.ToolLogUpdateRequest.jsonOrThrow(request, { unrecognizedObjectKeys: "strip" }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.LogResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling PATCH /tools/{id}/log/{log_id}."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Get a list of all Tools. * * @param {Humanloop.ListToolsGetRequest} request * @param {Tools.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.tools.list({ * size: 1 * }) */ public async list( request: Humanloop.ListToolsGetRequest = {}, requestOptions?: Tools.RequestOptions, ): Promise> { const list = async (request: Humanloop.ListToolsGetRequest): Promise => { const { page, size, name, userFilter, sortBy, order } = request; const _queryParams: Record = {}; if (page != null) { _queryParams["page"] = page.toString(); } if (size != null) { _queryParams["size"] = size.toString(); } if (name != null) { _queryParams["name"] = name; } if (userFilter != null) { _queryParams["user_filter"] = userFilter; } if (sortBy != null) { _queryParams["sort_by"] = serializers.ProjectSortBy.jsonOrThrow(sortBy, { unrecognizedObjectKeys: "strip", }); } if (order != null) { _queryParams["order"] = serializers.SortOrder.jsonOrThrow(order, { unrecognizedObjectKeys: "strip" }); } const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, "tools", ), method: "GET", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.PaginatedDataToolResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling GET /tools."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } }; let _offset = request?.page != null ? request?.page : 1; return new core.Pageable({ response: await list(request), hasNextPage: (response) => (response?.records ?? []).length > 0, getItems: (response) => response?.records ?? [], loadPage: (_response) => { _offset += 1; return list(core.setObjectProperty(request, "page", _offset)); }, }); } /** * Create a Tool or update it with a new version if it already exists. * * Tools are identified by the `ID` or their `path`. The name, description and parameters determine the versions of the Tool. * * If you provide a commit message, then the new version will be committed; * otherwise it will be uncommitted. If you try to commit an already committed version, * an exception will be raised. * * @param {Humanloop.ToolRequest} request * @param {Tools.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.tools.upsert({ * path: "math-tool", * function: { * name: "multiply", * description: "Multiply two numbers", * parameters: { * "type": "object", * "properties": { * "a": { * "type": "number" * }, * "b": { * "type": "number" * } * }, * "required": [ * "a", * "b" * ] * } * }, * commitMessage: "Initial commit" * }) */ public async upsert( request: Humanloop.ToolRequest = {}, requestOptions?: Tools.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, "tools", ), method: "POST", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", body: serializers.ToolRequest.jsonOrThrow(request, { unrecognizedObjectKeys: "strip" }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.ToolResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling POST /tools."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Retrieve the Tool with the given ID. * * By default, the deployed version of the Tool is returned. Use the query parameters * `version_id` or `environment` to target a specific version of the Tool. * * @param {string} id - Unique identifier for Tool. * @param {Humanloop.GetToolsIdGetRequest} request * @param {Tools.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.tools.get("tl_789ghi") */ public async get( id: string, request: Humanloop.GetToolsIdGetRequest = {}, requestOptions?: Tools.RequestOptions, ): Promise { const { versionId, environment } = request; const _queryParams: Record = {}; if (versionId != null) { _queryParams["version_id"] = versionId; } if (environment != null) { _queryParams["environment"] = environment; } const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `tools/${encodeURIComponent(id)}`, ), method: "GET", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.ToolResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling GET /tools/{id}."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Delete the Tool with the given ID. * * @param {string} id - Unique identifier for Tool. * @param {Tools.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.tools.delete("tl_789ghi") */ public async delete(id: string, requestOptions?: Tools.RequestOptions): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `tools/${encodeURIComponent(id)}`, ), method: "DELETE", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return; } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling DELETE /tools/{id}."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Move the Tool to a different path or change the name. * * @param {string} id - Unique identifier for Tool. * @param {Humanloop.UpdateToolRequest} request * @param {Tools.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.tools.move("tl_789ghi", { * path: "new directory/new name" * }) */ public async move( id: string, request: Humanloop.UpdateToolRequest = {}, requestOptions?: Tools.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `tools/${encodeURIComponent(id)}`, ), method: "PATCH", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", body: serializers.UpdateToolRequest.jsonOrThrow(request, { unrecognizedObjectKeys: "strip" }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.ToolResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling PATCH /tools/{id}."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Get a list of all the versions of a Tool. * * @param {string} id - Unique identifier for the Tool. * @param {Humanloop.ListVersionsToolsIdVersionsGetRequest} request * @param {Tools.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.tools.listVersions("tl_789ghi", { * status: "committed" * }) */ public async listVersions( id: string, request: Humanloop.ListVersionsToolsIdVersionsGetRequest = {}, requestOptions?: Tools.RequestOptions, ): Promise { const { status, evaluatorAggregates } = request; const _queryParams: Record = {}; if (status != null) { _queryParams["status"] = serializers.VersionStatus.jsonOrThrow(status, { unrecognizedObjectKeys: "strip" }); } if (evaluatorAggregates != null) { _queryParams["evaluator_aggregates"] = evaluatorAggregates.toString(); } const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `tools/${encodeURIComponent(id)}/versions`, ), method: "GET", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.ListTools.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling GET /tools/{id}/versions."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Commit a version of the Tool with a commit message. * * If the version is already committed, an exception will be raised. * * @param {string} id - Unique identifier for Tool. * @param {string} versionId - Unique identifier for the specific version of the Tool. * @param {Humanloop.CommitRequest} request * @param {Tools.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.tools.commit("tl_789ghi", "tv_012jkl", { * commitMessage: "Initial commit" * }) */ public async commit( id: string, versionId: string, request: Humanloop.CommitRequest, requestOptions?: Tools.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `tools/${encodeURIComponent(id)}/versions/${encodeURIComponent(versionId)}/commit`, ), method: "POST", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", body: serializers.CommitRequest.jsonOrThrow(request, { unrecognizedObjectKeys: "strip" }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.ToolResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError( "Timeout exceeded when calling POST /tools/{id}/versions/{version_id}/commit.", ); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Delete a version of the Tool. * * @param {string} id - Unique identifier for Tool. * @param {string} versionId - Unique identifier for the specific version of the Tool. * @param {Tools.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.tools.deleteToolVersion("id", "version_id") */ public async deleteToolVersion( id: string, versionId: string, requestOptions?: Tools.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `tools/${encodeURIComponent(id)}/versions/${encodeURIComponent(versionId)}`, ), method: "DELETE", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return; } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError( "Timeout exceeded when calling DELETE /tools/{id}/versions/{version_id}.", ); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Deploy Tool to an Environment. * * Set the deployed version for the specified Environment. This Prompt * will be used for calls made to the Tool in this Environment. * * @param {string} id - Unique identifier for Tool. * @param {string} environmentId - Unique identifier for the Environment to deploy the Version to. * @param {Humanloop.SetDeploymentToolsIdEnvironmentsEnvironmentIdPostRequest} request * @param {Tools.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.tools.setDeployment("tl_789ghi", "staging", { * versionId: "tv_012jkl" * }) */ public async setDeployment( id: string, environmentId: string, request: Humanloop.SetDeploymentToolsIdEnvironmentsEnvironmentIdPostRequest, requestOptions?: Tools.RequestOptions, ): Promise { const { versionId } = request; const _queryParams: Record = {}; _queryParams["version_id"] = versionId; const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `tools/${encodeURIComponent(id)}/environments/${encodeURIComponent(environmentId)}`, ), method: "POST", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", queryParameters: _queryParams, requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.ToolResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError( "Timeout exceeded when calling POST /tools/{id}/environments/{environment_id}.", ); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Remove deployed Tool from the Environment. * * Remove the deployed version for the specified Environment. This Tool * will no longer be used for calls made to the Tool in this Environment. * * @param {string} id - Unique identifier for Tool. * @param {string} environmentId - Unique identifier for the Environment to remove the deployment from. * @param {Tools.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.tools.removeDeployment("tl_789ghi", "staging") */ public async removeDeployment( id: string, environmentId: string, requestOptions?: Tools.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `tools/${encodeURIComponent(id)}/environments/${encodeURIComponent(environmentId)}`, ), method: "DELETE", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return; } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError( "Timeout exceeded when calling DELETE /tools/{id}/environments/{environment_id}.", ); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * List all Environments and their deployed versions for the Tool. * * @param {string} id - Unique identifier for Tool. * @param {Tools.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.tools.listEnvironments("tl_789ghi") */ public async listEnvironments( id: string, requestOptions?: Tools.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `tools/${encodeURIComponent(id)}/environments`, ), method: "GET", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.tools.listEnvironments.Response.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling GET /tools/{id}/environments."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } /** * Activate and deactivate Evaluators for monitoring the Tool. * * An activated Evaluator will automatically be run on all new Logs * within the Tool for monitoring purposes. * * @param {string} id * @param {Humanloop.EvaluatorActivationDeactivationRequest} request * @param {Tools.RequestOptions} requestOptions - Request-specific configuration. * * @throws {@link Humanloop.UnprocessableEntityError} * * @example * await client.tools.updateMonitoring("tl_789ghi", { * activate: [{ * evaluatorVersionId: "evv_1abc4308abd" * }] * }) */ public async updateMonitoring( id: string, request: Humanloop.EvaluatorActivationDeactivationRequest, requestOptions?: Tools.RequestOptions, ): Promise { const _response = await (this._options.fetcher ?? core.fetcher)({ url: urlJoin( (await core.Supplier.get(this._options.baseUrl)) ?? (await core.Supplier.get(this._options.environment)) ?? environments.HumanloopEnvironment.Default, `tools/${encodeURIComponent(id)}/evaluators`, ), method: "POST", headers: { "X-Fern-Language": "JavaScript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": "0.8.16", "User-Agent": "humanloop/0.8.16", "X-Fern-Runtime": core.RUNTIME.type, "X-Fern-Runtime-Version": core.RUNTIME.version, ...(await this._getCustomAuthorizationHeaders()), ...requestOptions?.headers, }, contentType: "application/json", requestType: "json", body: serializers.EvaluatorActivationDeactivationRequest.jsonOrThrow(request, { unrecognizedObjectKeys: "strip", }), timeoutMs: requestOptions?.timeoutInSeconds != null ? requestOptions.timeoutInSeconds * 1000 : 60000, maxRetries: requestOptions?.maxRetries, abortSignal: requestOptions?.abortSignal, }); if (_response.ok) { return serializers.ToolResponse.parseOrThrow(_response.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }); } if (_response.error.reason === "status-code") { switch (_response.error.statusCode) { case 422: throw new Humanloop.UnprocessableEntityError( serializers.HttpValidationError.parseOrThrow(_response.error.body, { unrecognizedObjectKeys: "passthrough", allowUnrecognizedUnionMembers: true, allowUnrecognizedEnumValues: true, skipValidation: true, breadcrumbsPrefix: ["response"], }), ); default: throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.body, }); } } switch (_response.error.reason) { case "non-json": throw new errors.HumanloopError({ statusCode: _response.error.statusCode, body: _response.error.rawBody, }); case "timeout": throw new errors.HumanloopTimeoutError("Timeout exceeded when calling POST /tools/{id}/evaluators."); case "unknown": throw new errors.HumanloopError({ message: _response.error.errorMessage, }); } } protected async _getCustomAuthorizationHeaders() { const apiKeyValue = (await core.Supplier.get(this._options.apiKey)) ?? process?.env["HUMANLOOP_API_KEY"]; return { "X-API-KEY": apiKeyValue }; } } humanloop-node-0.8.16/src/api/resources/tools/client/index.ts000066400000000000000000000000341476356526200242170ustar00rootroot00000000000000export * from "./requests"; humanloop-node-0.8.16/src/api/resources/tools/client/requests/000077500000000000000000000000001476356526200244165ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/tools/client/requests/GetToolsIdGetRequest.ts000066400000000000000000000005361476356526200310200ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * @example * {} */ export interface GetToolsIdGetRequest { /** * A specific Version ID of the Tool to retrieve. */ versionId?: string; /** * Name of the Environment to retrieve a deployed Version from. */ environment?: string; } humanloop-node-0.8.16/src/api/resources/tools/client/requests/ListToolsGetRequest.ts000066400000000000000000000014251476356526200307350ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../../index"; /** * @example * { * size: 1 * } */ export interface ListToolsGetRequest { /** * Page offset for pagination. */ page?: number; /** * Page size for pagination. Number of Tools to fetch. */ size?: number; /** * Case-insensitive filter for Tool name. */ name?: string; /** * Case-insensitive filter for users in the Tool. This filter matches against both email address and name of users. */ userFilter?: string; /** * Field to sort Tools by */ sortBy?: Humanloop.ProjectSortBy; /** * Direction to sort by. */ order?: Humanloop.SortOrder; } ListVersionsToolsIdVersionsGetRequest.ts000066400000000000000000000010561476356526200344150ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/tools/client/requests/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../../index"; /** * @example * { * status: "committed" * } */ export interface ListVersionsToolsIdVersionsGetRequest { /** * Filter versions by status: 'uncommitted', 'committed'. If no status is provided, all versions are returned. */ status?: Humanloop.VersionStatus; /** * Whether to include Evaluator aggregate results for the versions in the response */ evaluatorAggregates?: boolean; } SetDeploymentToolsIdEnvironmentsEnvironmentIdPostRequest.ts000066400000000000000000000005061476356526200403330ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/resources/tools/client/requests/** * This file was auto-generated by Fern from our API Definition. */ /** * @example * { * versionId: "tv_012jkl" * } */ export interface SetDeploymentToolsIdEnvironmentsEnvironmentIdPostRequest { /** * Unique identifier for the specific version of the Tool. */ versionId: string; } humanloop-node-0.8.16/src/api/resources/tools/client/requests/ToolLogRequest.ts000066400000000000000000000073751476356526200277320ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../../index"; /** * @example * { * path: "math-tool", * tool: { * function: { * name: "multiply", * description: "Multiply two numbers", * parameters: { * "type": "object", * "properties": { * "a": { * "type": "number" * }, * "b": { * "type": "number" * } * }, * "required": [ * "a", * "b" * ] * } * } * }, * inputs: { * "a": 5, * "b": 7 * }, * output: "35" * } */ export interface ToolLogRequest { /** * A specific Version ID of the Tool to log to. */ versionId?: string; /** * Name of the Environment identifying a deployed version to log to. */ environment?: string; /** Path of the Tool, including the name. This locates the Tool in the Humanloop filesystem and is used as as a unique identifier. For example: `folder/name` or just `name`. */ path?: string; /** ID for an existing Tool. */ id?: string; /** When the logged event started. */ startTime?: Date; /** When the logged event ended. */ endTime?: Date; /** Generated output from your model for the provided inputs. Can be `None` if logging an error, or if creating a parent Log with the intention to populate it later. */ output?: string; /** User defined timestamp for when the log was created. */ createdAt?: Date; /** Error message if the log is an error. */ error?: string; /** Duration of the logged event in seconds. */ providerLatency?: number; /** Captured log and debug statements. */ stdout?: string; /** Raw request sent to provider. */ providerRequest?: Record; /** Raw response received the provider. */ providerResponse?: Record; /** The inputs passed to the prompt template. */ inputs?: Record; /** Identifies where the model was called from. */ source?: string; /** Any additional metadata to record. */ metadata?: Record; /** Status of a Log. Set to `incomplete` if you intend to update and eventually complete the Log and want the File's monitoring Evaluators to wait until you mark it as `complete`. If log_status is not provided, observability will pick up the Log as soon as possible. Updating this from specified to unspecified is undefined behavior. */ logStatus?: Humanloop.LogStatus; /** Unique identifier for the Datapoint that this Log is derived from. This can be used by Humanloop to associate Logs to Evaluations. If provided, Humanloop will automatically associate this Log to Evaluations that require a Log for this Datapoint-Version pair. */ sourceDatapointId?: string; /** The ID of the parent Log to nest this Log under in a Trace. */ traceParentId?: string; /** End-user ID related to the Log. */ user?: string; /** The name of the Environment the Log is associated to. */ toolLogRequestEnvironment?: string; /** Whether the request/response payloads will be stored on Humanloop. */ save?: boolean; /** This will identify a Log. If you don't provide a Log ID, Humanloop will generate one for you. */ logId?: string; /** Details of your Tool. A new Tool version will be created if the provided details are new. */ tool?: Humanloop.ToolKernelRequest; } humanloop-node-0.8.16/src/api/resources/tools/client/requests/ToolLogUpdateRequest.ts000066400000000000000000000031371476356526200310650ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../../index"; /** * @example * {} */ export interface ToolLogUpdateRequest { /** Generated output from your model for the provided inputs. Can be `None` if logging an error, or if creating a parent Log with the intention to populate it later. */ output?: string; /** User defined timestamp for when the log was created. */ createdAt?: Date; /** Error message if the log is an error. */ error?: string; /** Duration of the logged event in seconds. */ providerLatency?: number; /** Captured log and debug statements. */ stdout?: string; /** Raw request sent to provider. */ providerRequest?: Record; /** Raw response received the provider. */ providerResponse?: Record; /** The inputs passed to the prompt template. */ inputs?: Record; /** Identifies where the model was called from. */ source?: string; /** Any additional metadata to record. */ metadata?: Record; /** When the logged event started. */ startTime?: Date; /** When the logged event ended. */ endTime?: Date; /** Status of a Log. Set to `incomplete` if you intend to update and eventually complete the Log and want the File's monitoring Evaluators to wait until you mark it as `complete`. If log_status is not provided, observability will pick up the Log as soon as possible. Updating this from specified to unspecified is undefined behavior. */ logStatus?: Humanloop.LogStatus; } humanloop-node-0.8.16/src/api/resources/tools/client/requests/ToolRequest.ts000066400000000000000000000033341476356526200272570ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../../../../index"; /** * @example * { * path: "math-tool", * function: { * name: "multiply", * description: "Multiply two numbers", * parameters: { * "type": "object", * "properties": { * "a": { * "type": "number" * }, * "b": { * "type": "number" * } * }, * "required": [ * "a", * "b" * ] * } * }, * commitMessage: "Initial commit" * } */ export interface ToolRequest { /** Path of the Tool, including the name. This locates the Tool in the Humanloop filesystem and is used as as a unique identifier. For example: `folder/name` or just `name`. */ path?: string; /** ID for an existing Tool. */ id?: string; /** Callable function specification of the Tool shown to the model for tool calling. */ function?: Humanloop.ToolFunction; /** Code source of the Tool. */ sourceCode?: string; /** Values needed to setup the Tool, defined in JSON Schema format: https://json-schema.org/ */ setupValues?: Record; /** Additional fields to describe the Tool. Helpful to separate Tool versions from each other with details on how they were created or used. */ attributes?: Record; /** Type of Tool. */ toolType?: Humanloop.FilesToolType; /** Message describing the changes made. */ commitMessage?: string; } humanloop-node-0.8.16/src/api/resources/tools/client/requests/UpdateToolRequest.ts000066400000000000000000000006051476356526200304200ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * @example * { * path: "new directory/new name" * } */ export interface UpdateToolRequest { /** Path of the Tool including the Tool name, which is used as a unique identifier. */ path?: string; /** Name of the Tool, which is used as a unique identifier. */ name?: string; } humanloop-node-0.8.16/src/api/resources/tools/client/requests/index.ts000066400000000000000000000011441476356526200260750ustar00rootroot00000000000000export { type ToolLogRequest } from "./ToolLogRequest"; export { type ToolLogUpdateRequest } from "./ToolLogUpdateRequest"; export { type ListToolsGetRequest } from "./ListToolsGetRequest"; export { type ToolRequest } from "./ToolRequest"; export { type GetToolsIdGetRequest } from "./GetToolsIdGetRequest"; export { type UpdateToolRequest } from "./UpdateToolRequest"; export { type ListVersionsToolsIdVersionsGetRequest } from "./ListVersionsToolsIdVersionsGetRequest"; export { type SetDeploymentToolsIdEnvironmentsEnvironmentIdPostRequest } from "./SetDeploymentToolsIdEnvironmentsEnvironmentIdPostRequest"; humanloop-node-0.8.16/src/api/resources/tools/index.ts000066400000000000000000000000321476356526200227370ustar00rootroot00000000000000export * from "./client"; humanloop-node-0.8.16/src/api/types/000077500000000000000000000000001476356526200172575ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/types/AgentConfigResponse.ts000066400000000000000000000001621476356526200235310ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export interface AgentConfigResponse {} humanloop-node-0.8.16/src/api/types/BaseModelsUserResponse.ts000066400000000000000000000001701476356526200242210ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export type BaseModelsUserResponse = unknown; humanloop-node-0.8.16/src/api/types/BooleanEvaluatorStatsResponse.ts000066400000000000000000000020051476356526200256240ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * Base attributes for stats for an Evaluator Version-Evaluated Version pair * in the Evaluation. */ export interface BooleanEvaluatorStatsResponse { /** Unique identifier for the Evaluator Version. */ evaluatorVersionId: string; /** The total number of Logs generated by this Evaluator Version on the Evaluated Version's Logs. This includes Nulls and Errors. */ totalLogs: number; /** The total number of Evaluator judgments for this Evaluator Version. This excludes Nulls and Errors. */ numJudgments: number; /** The total number of null judgments (i.e. abstentions) for this Evaluator Version. */ numNulls: number; /** The total number of errored Evaluators for this Evaluator Version. */ numErrors: number; /** The total number of `True` judgments for this Evaluator Version. */ numTrue: number; /** The total number of `False` judgments for this Evaluator Version. */ numFalse: number; } humanloop-node-0.8.16/src/api/types/ChatMessage.ts000066400000000000000000000010421476356526200220100ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface ChatMessage { /** The content of the message. */ content?: Humanloop.ChatMessageContent; /** Optional name of the message author. */ name?: string; /** Tool call that this message is responding to. */ toolCallId?: string; /** Role of the message author. */ role: Humanloop.ChatRole; /** A list of tool calls requested by the assistant. */ toolCalls?: Humanloop.ToolCall[]; } humanloop-node-0.8.16/src/api/types/ChatMessageContent.ts000066400000000000000000000003471476356526200233520ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; /** * The content of the message. */ export type ChatMessageContent = string | Humanloop.ChatMessageContentItem[]; humanloop-node-0.8.16/src/api/types/ChatMessageContentItem.ts000066400000000000000000000003171476356526200241660ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export type ChatMessageContentItem = Humanloop.TextChatContent | Humanloop.ImageChatContent; humanloop-node-0.8.16/src/api/types/ChatRole.ts000066400000000000000000000005141476356526200213300ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * An enumeration. */ export type ChatRole = "user" | "assistant" | "system" | "tool" | "developer"; export const ChatRole = { User: "user", Assistant: "assistant", System: "system", Tool: "tool", Developer: "developer", } as const; humanloop-node-0.8.16/src/api/types/ChatToolType.ts000066400000000000000000000002261476356526200222060ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * The type of tool to call. */ export type ChatToolType = "function"; humanloop-node-0.8.16/src/api/types/CodeEvaluatorRequest.ts000066400000000000000000000024401476356526200237350ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface CodeEvaluatorRequest { /** Whether this Evaluator is target-free or target-required. */ argumentsType: Humanloop.EvaluatorArgumentsType; /** The type of the return value of the Evaluator. */ returnType: Humanloop.EvaluatorReturnTypeEnum; /** Additional fields to describe the Evaluator. Helpful to separate Evaluator versions from each other with details on how they were created or used. */ attributes?: Record; /** The options that can be applied as judgments. Only for Evaluators with `return_type` of 'boolean', 'select' or 'multi_select'. */ options?: Humanloop.EvaluatorJudgmentOptionResponse[]; /** Limits on the judgment that can be applied. Only for Evaluators with `return_type` of 'number'. */ numberLimits?: Humanloop.EvaluatorJudgmentNumberLimit; /** The valence of the number judgment. Only for Evaluators with `return_type` of 'number'. If 'positive', a higher number is better. If 'negative', a lower number is better. */ numberValence?: Humanloop.Valence; evaluatorType: "python"; /** The code for the Evaluator. This code will be executed in a sandboxed environment. */ code: string; } humanloop-node-0.8.16/src/api/types/CommitRequest.ts000066400000000000000000000002701476356526200224270ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export interface CommitRequest { /** Message describing the changes made. */ commitMessage: string; } humanloop-node-0.8.16/src/api/types/ConfigToolResponse.ts000066400000000000000000000001641476356526200234120ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export type ConfigToolResponse = unknown; humanloop-node-0.8.16/src/api/types/CreateDatapointRequest.ts000066400000000000000000000010771476356526200242540ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface CreateDatapointRequest { /** The inputs to the prompt template. */ inputs?: Record; /** List of chat messages to provide to the model. */ messages?: Humanloop.ChatMessage[]; /** Object with criteria necessary to evaluate generations with this Datapoint. This is passed in as an argument to Evaluators when used in an Evaluation. */ target?: Record; } humanloop-node-0.8.16/src/api/types/CreateDatapointRequestTargetValue.ts000066400000000000000000000003361476356526200264150ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export type CreateDatapointRequestTargetValue = | string | number | number | boolean | unknown[] | Record; humanloop-node-0.8.16/src/api/types/CreateEvaluatorLogResponse.ts000066400000000000000000000010521476356526200250740ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export interface CreateEvaluatorLogResponse { /** String identifier of the new Log. */ id: string; /** Identifier of the evaluated parent Log. */ parentId: string; /** Identifier of the Session containing both the parent and the new child Log. If the parent Log does not belong to a Session, a new Session is created with this ID. */ sessionId?: string; /** Identifier of Evaluator Version for which the Log was registered. */ versionId: string; } humanloop-node-0.8.16/src/api/types/CreateFlowLogResponse.ts000066400000000000000000000011231476356526200240400ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; /** * Response for a Flow Log. */ export interface CreateFlowLogResponse { /** Unique identifier for the Log. */ id: string; /** Unique identifier for the Flow. */ flowId: string; /** Unique identifier for the Flow Version. */ versionId: string; /** Status of the Flow Log. When a Flow Log is marked as `complete`, no more Logs can be added to it. Monitoring Evaluators will only run on `complete` Flow Logs. */ logStatus?: Humanloop.LogStatus; } humanloop-node-0.8.16/src/api/types/CreatePromptLogResponse.ts000066400000000000000000000006021476356526200244130ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export interface CreatePromptLogResponse { /** String ID of log. */ id: string; /** ID of the Prompt the log belongs to. */ promptId: string; /** ID of the specific version of the Prompt. */ versionId: string; /** String ID of session the log belongs to. */ sessionId?: string; } humanloop-node-0.8.16/src/api/types/CreateToolLogResponse.ts000066400000000000000000000005721476356526200240550ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export interface CreateToolLogResponse { /** String ID of log. */ id: string; /** ID of the Tool the log belongs to. */ toolId: string; /** ID of the specific version of the Tool. */ versionId: string; /** String ID of session the log belongs to. */ sessionId?: string; } humanloop-node-0.8.16/src/api/types/DashboardConfiguration.ts000066400000000000000000000003711476356526200242470ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface DashboardConfiguration { timeUnit: Humanloop.TimeUnit; timeRangeDays: number; modelConfigIds: string[]; } humanloop-node-0.8.16/src/api/types/DatapointResponse.ts000066400000000000000000000012101476356526200232630ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface DatapointResponse { /** The inputs to the prompt template. */ inputs?: Record; /** List of chat messages to provide to the model. */ messages?: Humanloop.ChatMessage[]; /** Object with criteria necessary to evaluate generations with this Datapoint. This is passed in as an argument to Evaluators when used in an Evaluation. */ target?: Record; /** Unique identifier for the Datapoint. Starts with `dp_`. */ id: string; } humanloop-node-0.8.16/src/api/types/DatapointResponseTargetValue.ts000066400000000000000000000002771476356526200254430ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export type DatapointResponseTargetValue = string | number | number | boolean | unknown[] | Record; humanloop-node-0.8.16/src/api/types/DatasetResponse.ts000066400000000000000000000044441476356526200227410ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; /** * Base type that all File Responses should inherit from. * * Attributes defined here are common to all File Responses and should be overridden * in the inheriting classes with documentation and appropriate Field definitions. */ export interface DatasetResponse { /** Path of the Dataset, including the name, which is used as a unique identifier. */ path: string; /** Unique identifier for the Dataset. Starts with `ds_`. */ id: string; /** ID of the directory that the file is in on Humanloop. */ directoryId?: string; /** Name of the Dataset, which is used as a unique identifier. */ name: string; /** Description of the Dataset. */ description?: string; /** Long description of the file. */ readme?: string; /** List of tags associated with the file. */ tags?: string[]; /** Unique identifier for the specific Dataset Version. If no query params provided, the default deployed Dataset Version is returned. Starts with `dsv_`. */ versionId: string; type?: "dataset"; /** The list of environments the Dataset Version is deployed to. */ environments?: Humanloop.EnvironmentResponse[]; createdAt: Date; updatedAt: Date; /** The user who created the Dataset. */ createdBy?: Humanloop.UserResponse | undefined; /** The user who committed the Dataset Version. */ committedBy?: Humanloop.UserResponse | undefined; /** The date and time the Dataset Version was committed. */ committedAt?: Date; /** The status of the Dataset Version. */ status: Humanloop.VersionStatus; lastUsedAt: Date; /** Message describing the changes made. If provided, a committed version of the Dataset is created. Otherwise, an uncommitted version is created. */ commitMessage?: string; /** The number of Datapoints in this Dataset version. */ datapointsCount: number; /** The list of Datapoints in this Dataset version. Only provided if explicitly requested. */ datapoints?: Humanloop.DatapointResponse[]; /** Additional fields to describe the Dataset. Helpful to separate Dataset versions from each other with details on how they were created or used. */ attributes?: Record; } humanloop-node-0.8.16/src/api/types/DatasetsRequest.ts000066400000000000000000000001611476356526200227460ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export type DatasetsRequest = unknown; humanloop-node-0.8.16/src/api/types/DirectoryResponse.ts000066400000000000000000000013551476356526200233160ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export interface DirectoryResponse { /** String ID of directory. Starts with `dir_`. */ id: string; /** ID of the parent directory. Will be `None` if the directory is the root directory. Starts with `dir_`. */ parentId?: string; /** Name of the directory. */ name: string; /** Description of the directory. */ description?: string; /** Path to the directory, relative to the root directory. Includes name, e.g. `path/to/directory`. */ path: string; /** Long description of the directory. */ readme?: string; /** List of tags associated with the directory. */ tags: string[]; createdAt: Date; updatedAt: Date; } humanloop-node-0.8.16/src/api/types/DirectoryWithParentsAndChildrenResponse.ts000066400000000000000000000021521476356526200275770ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface DirectoryWithParentsAndChildrenResponse { /** String ID of directory. Starts with `dir_`. */ id: string; /** ID of the parent directory. Will be `None` if the directory is the root directory. Starts with `dir_`. */ parentId?: string; /** Name of the directory. */ name: string; /** Description of the directory. */ description?: string; /** Path to the directory, relative to the root directory. Includes name, e.g. `path/to/directory`. */ path: string; /** Long description of the directory. */ readme?: string; /** List of tags associated with the directory. */ tags: string[]; createdAt: Date; updatedAt: Date; /** List of subdirectories in the directory. */ subdirectories: Humanloop.DirectoryResponse[]; /** List of files in the directory. */ files: Humanloop.DirectoryWithParentsAndChildrenResponseFilesItem[]; /** List of parent directories of the directory. */ parents: Humanloop.DirectoryResponse[]; } humanloop-node-0.8.16/src/api/types/DirectoryWithParentsAndChildrenResponseFilesItem.ts000066400000000000000000000005151476356526200314020ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export type DirectoryWithParentsAndChildrenResponseFilesItem = | Humanloop.PromptResponse | Humanloop.ToolResponse | Humanloop.EvaluatorResponse | Humanloop.DatasetResponse | Humanloop.FlowResponse; humanloop-node-0.8.16/src/api/types/EnvironmentResponse.ts000066400000000000000000000003651476356526200236560ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface EnvironmentResponse { id: string; createdAt: Date; name: string; tag: Humanloop.EnvironmentTag; } humanloop-node-0.8.16/src/api/types/EnvironmentTag.ts000066400000000000000000000003571476356526200225740ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * An enumeration. */ export type EnvironmentTag = "default" | "other"; export const EnvironmentTag = { Default: "default", Other: "other", } as const; humanloop-node-0.8.16/src/api/types/EvaluateeRequest.ts000066400000000000000000000025441476356526200231200ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * Specification of a File version on Humanloop. * * This can be done in a couple of ways: * - Specifying `version_id` directly. * - Specifying a File (and optionally an Environment). * - A File can be specified by either `path` or `file_id`. * - An Environment can be specified by `environment_id`. If no Environment is specified, the default Environment is used. */ export interface EvaluateeRequest { /** Unique identifier for the File Version. If provided, none of the other fields should be specified. */ versionId?: string; /** Path identifying a File. Provide either this or `file_id` if you want to specify a File. */ path?: string; /** Unique identifier for the File. Provide either this or `path` if you want to specify a File. */ fileId?: string; /** Name of the Environment a Version is deployed to. Only provide this when specifying a File. If not provided (and a File is specified), the default Environment is used. */ environment?: string; /** Unique identifier for the batch of Logs to include in the Evaluation. */ batchId?: string; /** Whether the Prompt/Tool is orchestrated by Humanloop. Default is `True`. If `False`, a log for the Prompt/Tool should be submitted by the user via the API. */ orchestrated?: boolean; } humanloop-node-0.8.16/src/api/types/EvaluateeResponse.ts000066400000000000000000000013751476356526200232670ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; /** * Version of the Evaluatee being evaluated. */ export interface EvaluateeResponse { version?: Humanloop.RunVersionResponse; /** Unique identifier for the batch of Logs to include in the Evaluation. */ batchId?: string; /** Whether the Prompt/Tool is orchestrated by Humanloop. Default is `True`. If `False`, a log for the Prompt/Tool should be submitted by the user via the API. */ orchestrated: boolean; /** Pinned Evaluatees are shown in Humanloop's Overview, allowing you to use them as baselines for comparison. */ pinned: boolean; /** When the Evaluatee was added to the Evaluation. */ addedAt?: Date; } humanloop-node-0.8.16/src/api/types/EvaluationEvaluatorResponse.ts000066400000000000000000000007311476356526200253410ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface EvaluationEvaluatorResponse { version: Humanloop.EvaluatorResponse; /** Whether the Evaluator is orchestrated by Humanloop. Default is `True`. If `False`, a log for the Evaluator should be submitted by the user via the API. */ orchestrated: boolean; /** When the Evaluator was added to the Evaluation. */ addedAt: Date; } humanloop-node-0.8.16/src/api/types/EvaluationLogResponse.ts000066400000000000000000000010011476356526200241070ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface EvaluationLogResponse { /** Unique identifier for the Run. */ runId: string; /** The Datapoint used to generate the Log */ datapoint?: Humanloop.DatapointResponse; /** The Log that was evaluated by the Evaluator. */ log: Humanloop.LogResponse; /** The Evaluator Logs containing the judgments for the Log. */ evaluatorLogs: Humanloop.LogResponse[]; } humanloop-node-0.8.16/src/api/types/EvaluationResponse.ts000066400000000000000000000014611476356526200234570ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface EvaluationResponse { /** Unique identifier for the Evaluation. Starts with `evr`. */ id: string; /** The total number of Runs in the Evaluation. */ runsCount: number; /** The Evaluator Versions used to evaluate. */ evaluators: Humanloop.EvaluationEvaluatorResponse[]; /** Name of the Evaluation to help identify it. Must be unique among Evaluations associated with File. */ name?: string; /** Unique identifier for the File associated with the Evaluation. */ fileId?: string; createdAt: Date; createdBy?: Humanloop.UserResponse | undefined; updatedAt: Date; /** URL to view the Evaluation on the Humanloop. */ url?: string; } humanloop-node-0.8.16/src/api/types/EvaluationRunResponse.ts000066400000000000000000000015431476356526200241450ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface EvaluationRunResponse { /** Unique identifier for the Run. */ id: string; /** The Dataset used in the Run. */ dataset?: Humanloop.DatasetResponse; /** The version used in the Run. */ version?: Humanloop.RunVersionResponse; /** Whether the Run is orchestrated by Humanloop. */ orchestrated: boolean; /** When the Run was added to the Evaluation. */ addedAt: Date; /** When the Run was created. */ createdAt: Date; /** The User who created the Run. */ createdBy?: Humanloop.UserResponse | undefined; /** The status of the Run. */ status: Humanloop.EvaluationStatus; /** Stats for other Runs will be displayed in comparison to the control Run. */ control: boolean; } humanloop-node-0.8.16/src/api/types/EvaluationRunsResponse.ts000066400000000000000000000003621476356526200243260ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface EvaluationRunsResponse { /** The Runs in the Evaluation. */ runs: Humanloop.EvaluationRunResponse[]; } humanloop-node-0.8.16/src/api/types/EvaluationStats.ts000066400000000000000000000012201476356526200227500ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface EvaluationStats { /** Stats for each Run in the Evaluation. */ runStats: Humanloop.RunStatsResponse[]; /** A summary string report of the Evaluation's progress you can print to the command line;helpful when integrating Evaluations with CI/CD. */ progress?: string; /** A summary string report of the Evaluation you can print to command line;helpful when integrating Evaluations with CI/CD. */ report?: string; /** The current status of the Evaluation. */ status: Humanloop.EvaluationStatus; } humanloop-node-0.8.16/src/api/types/EvaluationStatus.ts000066400000000000000000000005261476356526200231450ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * Status of an evaluation. */ export type EvaluationStatus = "pending" | "running" | "completed" | "cancelled"; export const EvaluationStatus = { Pending: "pending", Running: "running", Completed: "completed", Cancelled: "cancelled", } as const; humanloop-node-0.8.16/src/api/types/EvaluationsDatasetRequest.ts000066400000000000000000000001731476356526200250010ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export type EvaluationsDatasetRequest = unknown; humanloop-node-0.8.16/src/api/types/EvaluationsRequest.ts000066400000000000000000000001641476356526200234730ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export type EvaluationsRequest = unknown; humanloop-node-0.8.16/src/api/types/EvaluatorActivationDeactivationRequest.ts000066400000000000000000000007671476356526200275310ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface EvaluatorActivationDeactivationRequest { /** Evaluators to activate for Monitoring. These will be automatically run on new Logs. */ activate?: Humanloop.EvaluatorActivationDeactivationRequestActivateItem[]; /** Evaluators to deactivate. These will not be run on new Logs. */ deactivate?: Humanloop.EvaluatorActivationDeactivationRequestDeactivateItem[]; } humanloop-node-0.8.16/src/api/types/EvaluatorActivationDeactivationRequestActivateItem.ts000066400000000000000000000004341476356526200320200ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export type EvaluatorActivationDeactivationRequestActivateItem = | Humanloop.MonitoringEvaluatorVersionRequest | Humanloop.MonitoringEvaluatorEnvironmentRequest; humanloop-node-0.8.16/src/api/types/EvaluatorActivationDeactivationRequestDeactivateItem.ts000066400000000000000000000004361476356526200323330ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export type EvaluatorActivationDeactivationRequestDeactivateItem = | Humanloop.MonitoringEvaluatorVersionRequest | Humanloop.MonitoringEvaluatorEnvironmentRequest; humanloop-node-0.8.16/src/api/types/EvaluatorAggregate.ts000066400000000000000000000005421476356526200234010ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export interface EvaluatorAggregate { /** The aggregated value of the evaluator. */ value: number; /** ID of the evaluator. */ evaluatorId: string; /** ID of the evaluator version. */ evaluatorVersionId: string; createdAt: Date; updatedAt: Date; } humanloop-node-0.8.16/src/api/types/EvaluatorArgumentsType.ts000066400000000000000000000005261476356526200243240ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * Enum representing the possible argument types of an evaluator. */ export type EvaluatorArgumentsType = "target_free" | "target_required"; export const EvaluatorArgumentsType = { TargetFree: "target_free", TargetRequired: "target_required", } as const; humanloop-node-0.8.16/src/api/types/EvaluatorConfigResponse.ts000066400000000000000000000001661476356526200244410ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export interface EvaluatorConfigResponse {} humanloop-node-0.8.16/src/api/types/EvaluatorFileId.ts000066400000000000000000000011341476356526200226450ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * Base model for specifying an Evaluator for an Evaluation. */ export interface EvaluatorFileId { /** If provided, the Version deployed to this Environment is used. If not provided, the Version deployed to the default Environment is used. */ environment?: string; /** Unique identifier for the File. */ id: string; /** Whether the Evaluator is orchestrated by Humanloop. Default is `True`. If `False`, a log for the Evaluator should be submitted by the user via the API. */ orchestrated?: boolean; } humanloop-node-0.8.16/src/api/types/EvaluatorFilePath.ts000066400000000000000000000011711476356526200232060ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * Base model for specifying an Evaluator for an Evaluation. */ export interface EvaluatorFilePath { /** If provided, the Version deployed to this Environment is used. If not provided, the Version deployed to the default Environment is used. */ environment?: string; /** Path identifying a File. Provide this to specify a File. */ path: string; /** Whether the Evaluator is orchestrated by Humanloop. Default is `True`. If `False`, a log for the Evaluator should be submitted by the user via the API. */ orchestrated?: boolean; } humanloop-node-0.8.16/src/api/types/EvaluatorJudgmentNumberLimit.ts000066400000000000000000000005101476356526200254330ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export interface EvaluatorJudgmentNumberLimit { /** The minimum value that can be selected. */ min?: number; /** The maximum value that can be selected. */ max?: number; /** The step size for the number input. */ step?: number; } humanloop-node-0.8.16/src/api/types/EvaluatorJudgmentOptionResponse.ts000066400000000000000000000005071476356526200262010ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface EvaluatorJudgmentOptionResponse { /** The name of the option. */ name: string; /** Whether this option should be considered positive or negative. */ valence?: Humanloop.Valence; } humanloop-node-0.8.16/src/api/types/EvaluatorLogResponse.ts000066400000000000000000000072311476356526200237550ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; /** * General request for creating a Log */ export interface EvaluatorLogResponse { /** When the logged event started. */ startTime?: Date; /** When the logged event ended. */ endTime?: Date; /** Generated output from your model for the provided inputs. Can be `None` if logging an error, or if creating a parent Log with the intention to populate it later. */ output?: string; /** User defined timestamp for when the log was created. */ createdAt?: Date; /** Error message if the log is an error. */ error?: string; /** Duration of the logged event in seconds. */ providerLatency?: number; /** Captured log and debug statements. */ stdout?: string; /** Raw request sent to provider. */ providerRequest?: Record; /** Raw response received the provider. */ providerResponse?: Record; /** The inputs passed to the prompt template. */ inputs?: Record; /** Identifies where the model was called from. */ source?: string; /** Any additional metadata to record. */ metadata?: Record; /** Status of a Log. Set to `incomplete` if you intend to update and eventually complete the Log and want the File's monitoring Evaluators to wait until you mark it as `complete`. If log_status is not provided, observability will pick up the Log as soon as possible. Updating this from specified to unspecified is undefined behavior. */ logStatus?: Humanloop.LogStatus; /** Identifier of the evaluated Log. The newly created Log will have this one set as parent. */ parentId?: string; /** Unique identifier for the Datapoint that this Log is derived from. This can be used by Humanloop to associate Logs to Evaluations. If provided, Humanloop will automatically associate this Log to Evaluations that require a Log for this Datapoint-Version pair. */ sourceDatapointId?: string; /** The ID of the parent Log to nest this Log under in a Trace. */ traceParentId?: string; /** Array of Batch IDs that this Log is part of. Batches are used to group Logs together for offline Evaluations */ batches?: string[]; /** End-user ID related to the Log. */ user?: string; /** The name of the Environment the Log is associated to. */ environment?: string; /** Whether the request/response payloads will be stored on Humanloop. */ save?: boolean; /** This will identify a Log. If you don't provide a Log ID, Humanloop will generate one for you. */ logId?: string; /** The message returned by the LLM. Only populated for LLM Evaluator Logs. */ outputMessage?: Humanloop.ChatMessage; /** Evaluator assessment of the Log. */ judgment?: Humanloop.EvaluatorLogResponseJudgment; /** Whether the Log has been manually marked as completed by a user. */ markedCompleted?: boolean; /** Unique identifier for the Log. */ id: string; /** List of Evaluator Logs associated with the Log. These contain Evaluator judgments on the Log. */ evaluatorLogs: Humanloop.EvaluatorLogResponse[]; /** Identifier for the Flow that the Trace belongs to. */ traceFlowId?: string; /** Identifier for the Trace that the Log belongs to. */ traceId?: string; /** Logs nested under this Log in the Trace. */ traceChildren?: Humanloop.LogResponse[]; /** Evaluator used to generate the judgment. */ evaluator: Humanloop.EvaluatorResponse; /** The Log that was evaluated. Only provided if the ?include_parent query parameter is set for the */ parent?: Humanloop.LogResponse; } humanloop-node-0.8.16/src/api/types/EvaluatorLogResponseJudgment.ts000066400000000000000000000003071476356526200254500ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * Evaluator assessment of the Log. */ export type EvaluatorLogResponseJudgment = boolean | string | string[] | number; humanloop-node-0.8.16/src/api/types/EvaluatorResponse.ts000066400000000000000000000046761476356526200233250ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; /** * Version of the Evaluator used to provide judgments. */ export interface EvaluatorResponse { /** Path of the Evaluator including the Evaluator name, which is used as a unique identifier. */ path: string; /** Unique identifier for the Evaluator. */ id: string; /** ID of the directory that the file is in on Humanloop. */ directoryId?: string; /** Message describing the changes made. */ commitMessage?: string; spec: Humanloop.EvaluatorResponseSpec; /** Name of the Evaluator, which is used as a unique identifier. */ name: string; /** Description of the Evaluator. */ description?: string; /** Long description of the file. */ readme?: string; /** List of tags associated with the file. */ tags?: string[]; /** Unique identifier for the specific Evaluator Version. If no query params provided, the default deployed Evaluator Version is returned. */ versionId: string; type?: "evaluator"; /** The list of environments the Evaluator Version is deployed to. */ environments?: Humanloop.EnvironmentResponse[]; createdAt: Date; updatedAt: Date; /** The user who created the Evaluator. */ createdBy?: Humanloop.UserResponse | undefined; /** The user who committed the Evaluator Version. */ committedBy?: Humanloop.UserResponse | undefined; /** The date and time the Evaluator Version was committed. */ committedAt?: Date; status: Humanloop.VersionStatus; lastUsedAt: Date; /** The number of logs that have been generated for this Evaluator Version */ versionLogsCount: number; /** The number of logs that have been generated across all Evaluator Versions */ totalLogsCount: number; /** Inputs associated to the Evaluator. Inputs correspond to any of the variables used within the Evaluator template. */ inputs: Humanloop.InputResponse[]; /** Evaluators that have been attached to this Evaluator that are used for monitoring logs. */ evaluators?: Humanloop.MonitoringEvaluatorResponse[]; /** Aggregation of Evaluator results for the Evaluator Version. */ evaluatorAggregates?: Humanloop.EvaluatorAggregate[]; /** Additional fields to describe the Evaluator. Helpful to separate Evaluator versions from each other with details on how they were created or used. */ attributes?: Record; } humanloop-node-0.8.16/src/api/types/EvaluatorResponseSpec.ts000066400000000000000000000004571476356526200241310ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export type EvaluatorResponseSpec = | Humanloop.LlmEvaluatorRequest | Humanloop.CodeEvaluatorRequest | Humanloop.HumanEvaluatorRequest | Humanloop.ExternalEvaluatorRequest; humanloop-node-0.8.16/src/api/types/EvaluatorReturnTypeEnum.ts000066400000000000000000000006371476356526200244660ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * Enum representing the possible return types of an evaluator. */ export type EvaluatorReturnTypeEnum = "boolean" | "number" | "select" | "multi_select" | "text"; export const EvaluatorReturnTypeEnum = { Boolean: "boolean", Number: "number", Select: "select", MultiSelect: "multi_select", Text: "text", } as const; humanloop-node-0.8.16/src/api/types/EvaluatorVersionId.ts000066400000000000000000000006731476356526200234220ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * Base model for specifying an Evaluator for an Evaluation. */ export interface EvaluatorVersionId { /** Unique identifier for the Version. */ versionId: string; /** Whether the Evaluator is orchestrated by Humanloop. Default is `True`. If `False`, a log for the Evaluator should be submitted by the user via the API. */ orchestrated?: boolean; } humanloop-node-0.8.16/src/api/types/EvaluatorsRequest.ts000066400000000000000000000001631476356526200233250ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export type EvaluatorsRequest = unknown; humanloop-node-0.8.16/src/api/types/ExternalEvaluatorRequest.ts000066400000000000000000000022661476356526200246530ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface ExternalEvaluatorRequest { /** Whether this Evaluator is target-free or target-required. */ argumentsType: Humanloop.EvaluatorArgumentsType; /** The type of the return value of the Evaluator. */ returnType: Humanloop.EvaluatorReturnTypeEnum; /** Additional fields to describe the Evaluator. Helpful to separate Evaluator versions from each other with details on how they were created or used. */ attributes?: Record; /** The options that can be applied as judgments. Only for Evaluators with `return_type` of 'boolean', 'select' or 'multi_select'. */ options?: Humanloop.EvaluatorJudgmentOptionResponse[]; /** Limits on the judgment that can be applied. Only for Evaluators with `return_type` of 'number'. */ numberLimits?: Humanloop.EvaluatorJudgmentNumberLimit; /** The valence of the number judgment. Only for Evaluators with `return_type` of 'number'. If 'positive', a higher number is better. If 'negative', a lower number is better. */ numberValence?: Humanloop.Valence; evaluatorType: "external"; } humanloop-node-0.8.16/src/api/types/FeedbackType.ts000066400000000000000000000001561476356526200221570ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export type FeedbackType = unknown; humanloop-node-0.8.16/src/api/types/FileEnvironmentResponse.ts000066400000000000000000000010511476356526200244470ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; /** * Response model for the List Environments endpoint under Files. * * Contains the deployed version of the File, if one is deployed to the Environment. */ export interface FileEnvironmentResponse { id: string; createdAt: Date; name: string; tag: Humanloop.EnvironmentTag; /** The version of the File that is deployed to the Environment, if one is deployed. */ file?: Humanloop.FileEnvironmentResponseFile; } humanloop-node-0.8.16/src/api/types/FileEnvironmentResponseFile.ts000066400000000000000000000006241476356526200252540ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; /** * The version of the File that is deployed to the Environment, if one is deployed. */ export type FileEnvironmentResponseFile = | Humanloop.PromptResponse | Humanloop.ToolResponse | Humanloop.DatasetResponse | Humanloop.EvaluatorResponse | Humanloop.FlowResponse; humanloop-node-0.8.16/src/api/types/FileId.ts000066400000000000000000000005751476356526200207720ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * Specification of a File by its ID. */ export interface FileId { /** If provided, the Version deployed to this Environment is used. If not provided, the Version deployed to the default Environment is used. */ environment?: string; /** Unique identifier for the File. */ id: string; } humanloop-node-0.8.16/src/api/types/FilePath.ts000066400000000000000000000006341476356526200213260ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * Specification of a File by its path. */ export interface FilePath { /** If provided, the Version deployed to this Environment is used. If not provided, the Version deployed to the default Environment is used. */ environment?: string; /** Path identifying a File. Provide this to specify a File. */ path: string; } humanloop-node-0.8.16/src/api/types/FileRequest.ts000066400000000000000000000005501476356526200220570ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export interface FileRequest { /** ID for an existing File. */ id?: string; /** Path of the File, including the name. This locates the File in the Humanloop filesystem and is used as as a unique identifier. For example: `folder/name` or just `name`. */ path?: string; } humanloop-node-0.8.16/src/api/types/FileType.ts000066400000000000000000000005131476356526200213470ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * Enum for File types. */ export type FileType = "prompt" | "tool" | "dataset" | "evaluator" | "flow"; export const FileType = { Prompt: "prompt", Tool: "tool", Dataset: "dataset", Evaluator: "evaluator", Flow: "flow", } as const; humanloop-node-0.8.16/src/api/types/FilesToolType.ts000066400000000000000000000006441476356526200223750ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * Type of tool. */ export type FilesToolType = "pinecone_search" | "google" | "mock" | "snippet" | "json_schema" | "get_api_call"; export const FilesToolType = { PineconeSearch: "pinecone_search", Google: "google", Mock: "mock", Snippet: "snippet", JsonSchema: "json_schema", GetApiCall: "get_api_call", } as const; humanloop-node-0.8.16/src/api/types/FlowKernelRequest.ts000066400000000000000000000003261476356526200232510ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export interface FlowKernelRequest { /** A key-value object identifying the Flow Version. */ attributes: Record; } humanloop-node-0.8.16/src/api/types/FlowLogResponse.ts000066400000000000000000000063641476356526200227300ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; /** * General request for creating a Log */ export interface FlowLogResponse { /** List of chat messages that were used as an input to the Flow. */ messages?: Humanloop.ChatMessage[]; /** The output message returned by this Flow. */ outputMessage?: Humanloop.ChatMessage; /** When the logged event started. */ startTime?: Date; /** When the logged event ended. */ endTime?: Date; /** Generated output from your model for the provided inputs. Can be `None` if logging an error, or if creating a parent Log with the intention to populate it later. */ output?: string; /** User defined timestamp for when the log was created. */ createdAt?: Date; /** Error message if the log is an error. */ error?: string; /** Duration of the logged event in seconds. */ providerLatency?: number; /** Captured log and debug statements. */ stdout?: string; /** Raw request sent to provider. */ providerRequest?: Record; /** Raw response received the provider. */ providerResponse?: Record; /** The inputs passed to the Flow Log. */ inputs?: Record; /** Identifies where the model was called from. */ source?: string; /** Any additional metadata to record. */ metadata?: Record; /** Status of a Log. Set to `incomplete` if you intend to update and eventually complete the Log and want the File's monitoring Evaluators to wait until you mark it as `complete`. If log_status is not provided, observability will pick up the Log as soon as possible. Updating this from specified to unspecified is undefined behavior. */ logStatus?: Humanloop.LogStatus; /** Unique identifier for the Datapoint that this Log is derived from. This can be used by Humanloop to associate Logs to Evaluations. If provided, Humanloop will automatically associate this Log to Evaluations that require a Log for this Datapoint-Version pair. */ sourceDatapointId?: string; /** The ID of the parent Log to nest this Log under in a Trace. */ traceParentId?: string; /** Array of Batch IDs that this Log is part of. Batches are used to group Logs together for offline Evaluations */ batches?: string[]; /** End-user ID related to the Log. */ user?: string; /** The name of the Environment the Log is associated to. */ environment?: string; /** Whether the request/response payloads will be stored on Humanloop. */ save?: boolean; /** This will identify a Log. If you don't provide a Log ID, Humanloop will generate one for you. */ logId?: string; /** Unique identifier for the Log. */ id: string; /** List of Evaluator Logs associated with the Log. These contain Evaluator judgments on the Log. */ evaluatorLogs: Humanloop.EvaluatorLogResponse[]; /** Identifier for the Flow that the Trace belongs to. */ traceFlowId?: string; /** Identifier for the Trace that the Log belongs to. */ traceId?: string; /** Logs nested under this Log in the Trace. */ traceChildren?: Humanloop.LogResponse[]; /** Flow used to generate the Log. */ flow: Humanloop.FlowResponse; } humanloop-node-0.8.16/src/api/types/FlowResponse.ts000066400000000000000000000040131476356526200222530ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; /** * Response model for a Flow. */ export interface FlowResponse { /** Path of the Flow, including the name, which is used as a unique identifier. */ path: string; /** Unique identifier for the Flow. */ id: string; /** ID of the directory that the file is in on Humanloop. */ directoryId?: string; /** A key-value object identifying the Flow Version. */ attributes: Record; /** Message describing the changes made. If provided, a committed version of the Flow is created. Otherwise, an uncommitted version is created. */ commitMessage?: string; /** Name of the Flow. */ name: string; /** Description of the Flow. */ description?: string; /** Long description of the file. */ readme?: string; /** List of tags associated with the file. */ tags?: string[]; /** Unique identifier for the specific Flow Version. If no query params provided, the default deployed Flow Version is returned. */ versionId: string; type?: "flow"; /** The list of environments the Flow Version is deployed to. */ environments?: Humanloop.EnvironmentResponse[]; createdAt: Date; updatedAt: Date; /** The user who created the Flow. */ createdBy?: Humanloop.UserResponse | undefined; /** The user who committed the Flow Version. */ committedBy?: Humanloop.UserResponse | undefined; /** The date and time the Flow Version was committed. */ committedAt?: Date; /** The status of the Flow Version. */ status: Humanloop.VersionStatus; lastUsedAt: Date; /** The number of logs that have been generated for this Flow Version */ versionLogsCount: number; /** Aggregation of Evaluator results for the Flow Version. */ evaluatorAggregates?: Humanloop.EvaluatorAggregate[]; /** The list of Monitoring Evaluators associated with the Flow Version. */ evaluators?: Humanloop.MonitoringEvaluatorResponse[]; } humanloop-node-0.8.16/src/api/types/FunctionTool.ts000066400000000000000000000003441476356526200222530ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * A function tool to be called by the model where user owns runtime. */ export interface FunctionTool { name: string; arguments?: string; } humanloop-node-0.8.16/src/api/types/FunctionToolChoice.ts000066400000000000000000000003221476356526200233620ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * A function tool to be called by the model where user owns runtime. */ export interface FunctionToolChoice { name: string; } humanloop-node-0.8.16/src/api/types/HttpValidationError.ts000066400000000000000000000003051476356526200235710ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface HttpValidationError { detail?: Humanloop.ValidationError[]; } humanloop-node-0.8.16/src/api/types/HumanEvaluatorRequest.ts000066400000000000000000000023011476356526200241270ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface HumanEvaluatorRequest { /** Whether this Evaluator is target-free or target-required. */ argumentsType: Humanloop.EvaluatorArgumentsType; /** The type of the return value of the Evaluator. */ returnType: Humanloop.HumanEvaluatorRequestReturnType; /** Additional fields to describe the Evaluator. Helpful to separate Evaluator versions from each other with details on how they were created or used. */ attributes?: Record; /** The options that can be applied as judgments. */ options?: Humanloop.EvaluatorJudgmentOptionResponse[]; /** Limits on the judgment that can be applied. Only for Evaluators with `return_type` of 'number'. */ numberLimits?: Humanloop.EvaluatorJudgmentNumberLimit; /** The valence of the number judgment. Only for Evaluators with `return_type` of 'number'. If 'positive', a higher number is better. If 'negative', a lower number is better. */ numberValence?: Humanloop.Valence; evaluatorType: "human"; /** Instructions and guidelines for applying judgments. */ instructions?: string; } humanloop-node-0.8.16/src/api/types/HumanEvaluatorRequestReturnType.ts000066400000000000000000000006411476356526200261760ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * The type of the return value of the Evaluator. */ export type HumanEvaluatorRequestReturnType = "select" | "multi_select" | "text" | "number" | "boolean"; export const HumanEvaluatorRequestReturnType = { Select: "select", MultiSelect: "multi_select", Text: "text", Number: "number", Boolean: "boolean", } as const; humanloop-node-0.8.16/src/api/types/ImageChatContent.ts000066400000000000000000000003711476356526200230050ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface ImageChatContent { type: "image_url"; /** The message's image content. */ imageUrl: Humanloop.ImageUrl; } humanloop-node-0.8.16/src/api/types/ImageUrl.ts000066400000000000000000000007051476356526200213360ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface ImageUrl { /** Either a URL of the image or the base64 encoded image data. */ url: string; /** Specify the detail level of the image provided to the model. For more details see: https://platform.openai.com/docs/guides/vision/low-or-high-fidelity-image-understanding */ detail?: Humanloop.ImageUrlDetail; } humanloop-node-0.8.16/src/api/types/ImageUrlDetail.ts000066400000000000000000000006261476356526200224630ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * Specify the detail level of the image provided to the model. For more details see: https://platform.openai.com/docs/guides/vision/low-or-high-fidelity-image-understanding */ export type ImageUrlDetail = "high" | "low" | "auto"; export const ImageUrlDetail = { High: "high", Low: "low", Auto: "auto", } as const; humanloop-node-0.8.16/src/api/types/InputResponse.ts000066400000000000000000000002311476356526200224410ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export interface InputResponse { /** Type of input. */ name: string; } humanloop-node-0.8.16/src/api/types/LinkedToolResponse.ts000066400000000000000000000012531476356526200234130ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export interface LinkedToolResponse { /** Name for the tool referenced by the model. */ name: string; /** Description of the tool referenced by the model */ description: string; /** If true, forces the model to output json data in the structure of the parameters schema. */ strict?: boolean; /** Parameters needed to run the Tool, defined in JSON Schema format: https://json-schema.org/ */ parameters?: Record; /** Unique identifier for the Tool linked. */ id: string; /** Unique identifier for the Tool Version linked. */ versionId: string; } humanloop-node-0.8.16/src/api/types/ListDatasets.ts000066400000000000000000000003371476356526200222360ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface ListDatasets { /** The list of Datasets. */ records: Humanloop.DatasetResponse[]; } humanloop-node-0.8.16/src/api/types/ListEvaluators.ts000066400000000000000000000003451476356526200226120ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface ListEvaluators { /** The list of Evaluators. */ records: Humanloop.EvaluatorResponse[]; } humanloop-node-0.8.16/src/api/types/ListFlows.ts000066400000000000000000000003261476356526200215560ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface ListFlows { /** The list of Flows. */ records: Humanloop.FlowResponse[]; } humanloop-node-0.8.16/src/api/types/ListPrompts.ts000066400000000000000000000003341476356526200221270ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface ListPrompts { /** The list of Prompts. */ records: Humanloop.PromptResponse[]; } humanloop-node-0.8.16/src/api/types/ListTools.ts000066400000000000000000000003261476356526200215640ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface ListTools { /** The list of Tools. */ records: Humanloop.ToolResponse[]; } humanloop-node-0.8.16/src/api/types/LlmEvaluatorRequest.ts000066400000000000000000000024131476356526200236070ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface LlmEvaluatorRequest { /** Whether this Evaluator is target-free or target-required. */ argumentsType: Humanloop.EvaluatorArgumentsType; /** The type of the return value of the Evaluator. */ returnType: Humanloop.EvaluatorReturnTypeEnum; /** Additional fields to describe the Evaluator. Helpful to separate Evaluator versions from each other with details on how they were created or used. */ attributes?: Record; /** The options that can be applied as judgments. Only for Evaluators with `return_type` of 'boolean', 'select' or 'multi_select'. */ options?: Humanloop.EvaluatorJudgmentOptionResponse[]; /** Limits on the judgment that can be applied. Only for Evaluators with `return_type` of 'number'. */ numberLimits?: Humanloop.EvaluatorJudgmentNumberLimit; /** The valence of the number judgment. Only for Evaluators with `return_type` of 'number'. If 'positive', a higher number is better. If 'negative', a lower number is better. */ numberValence?: Humanloop.Valence; evaluatorType: "llm"; /** The prompt parameters used to generate. */ prompt?: Humanloop.PromptKernelRequest; } humanloop-node-0.8.16/src/api/types/LogResponse.ts000066400000000000000000000004241476356526200220670ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export type LogResponse = | Humanloop.PromptLogResponse | Humanloop.ToolLogResponse | Humanloop.EvaluatorLogResponse | Humanloop.FlowLogResponse; humanloop-node-0.8.16/src/api/types/LogStatus.ts000066400000000000000000000003671476356526200215620ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * An enumeration. */ export type LogStatus = "complete" | "incomplete"; export const LogStatus = { Complete: "complete", Incomplete: "incomplete", } as const; humanloop-node-0.8.16/src/api/types/ModelEndpoints.ts000066400000000000000000000004361476356526200225560ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * Supported model provider endpoints. */ export type ModelEndpoints = "complete" | "chat" | "edit"; export const ModelEndpoints = { Complete: "complete", Chat: "chat", Edit: "edit", } as const; humanloop-node-0.8.16/src/api/types/ModelProviders.ts000066400000000000000000000011141476356526200225620ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * Supported model providers. */ export type ModelProviders = | "openai" | "openai_azure" | "mock" | "anthropic" | "bedrock" | "cohere" | "replicate" | "google" | "groq" | "deepseek"; export const ModelProviders = { Openai: "openai", OpenaiAzure: "openai_azure", Mock: "mock", Anthropic: "anthropic", Bedrock: "bedrock", Cohere: "cohere", Replicate: "replicate", Google: "google", Groq: "groq", Deepseek: "deepseek", } as const; humanloop-node-0.8.16/src/api/types/MonitoringEvaluatorEnvironmentRequest.ts000066400000000000000000000006051476356526200274360ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export interface MonitoringEvaluatorEnvironmentRequest { /** Unique identifier for the Evaluator to be used for monitoring. */ evaluatorId: string; /** Unique identifier for the Environment. The Evaluator Version deployed to this Environment will be used for monitoring. */ environmentId: string; } humanloop-node-0.8.16/src/api/types/MonitoringEvaluatorResponse.ts000066400000000000000000000011271476356526200253570ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface MonitoringEvaluatorResponse { /** The Evaluator Version used for monitoring. This can be a specific Version by ID, or a Version deployed to an Environment. */ versionReference: Humanloop.VersionReferenceResponse; /** The deployed Version. */ version?: Humanloop.EvaluatorResponse; /** The state of the Monitoring Evaluator. Either `active` or `inactive` */ state: Humanloop.MonitoringEvaluatorState; createdAt: Date; updatedAt: Date; } humanloop-node-0.8.16/src/api/types/MonitoringEvaluatorState.ts000066400000000000000000000004431476356526200246410ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * State of an evaluator connected to a file */ export type MonitoringEvaluatorState = "active" | "inactive"; export const MonitoringEvaluatorState = { Active: "active", Inactive: "inactive", } as const; humanloop-node-0.8.16/src/api/types/MonitoringEvaluatorVersionRequest.ts000066400000000000000000000003631476356526200265600ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export interface MonitoringEvaluatorVersionRequest { /** Unique identifier for the Evaluator Version to be used for monitoring. */ evaluatorVersionId: string; } humanloop-node-0.8.16/src/api/types/NumericEvaluatorStatsResponse.ts000066400000000000000000000016411476356526200256540ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * Base attributes for stats for an Evaluator Version-Evaluated Version pair * in the Evaluation. */ export interface NumericEvaluatorStatsResponse { /** Unique identifier for the Evaluator Version. */ evaluatorVersionId: string; /** The total number of Logs generated by this Evaluator Version on the Evaluated Version's Logs. This includes Nulls and Errors. */ totalLogs: number; /** The total number of Evaluator judgments for this Evaluator Version. This excludes Nulls and Errors. */ numJudgments: number; /** The total number of null judgments (i.e. abstentions) for this Evaluator Version. */ numNulls: number; /** The total number of errored Evaluators for this Evaluator Version. */ numErrors: number; mean?: number; sum?: number; std?: number; percentiles: Record; } humanloop-node-0.8.16/src/api/types/ObservabilityStatus.ts000066400000000000000000000006521476356526200236540ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * Status of a Log for observability. * * Observability is implemented by running monitoring Evaluators on Logs. */ export type ObservabilityStatus = "pending" | "running" | "completed" | "failed"; export const ObservabilityStatus = { Pending: "pending", Running: "running", Completed: "completed", Failed: "failed", } as const; humanloop-node-0.8.16/src/api/types/OverallStats.ts000066400000000000000000000011751476356526200222560ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export interface OverallStats { /** The total number of Datapoints in the Evaluation's Dataset Version. */ numDatapoints: number; /** The total number of Logs in the Evaluation. */ totalLogs: number; /** The total number of Evaluator Logs in the Evaluation. */ totalEvaluatorLogs: number; /** The total number of human Evaluator Logs in the Evaluation Report. */ totalHumanEvaluatorLogs: number; /** The total number of non-None human Evaluator Logs in the Evaluation Report. */ totalCompletedHumanEvaluatorLogs: number; } humanloop-node-0.8.16/src/api/types/PaginatedDataEvaluationLogResponse.ts000066400000000000000000000004211476356526200265230ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface PaginatedDataEvaluationLogResponse { records: Humanloop.EvaluationLogResponse[]; page: number; size: number; total: number; } humanloop-node-0.8.16/src/api/types/PaginatedDataEvaluatorResponse.ts000066400000000000000000000004111476356526200257130ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface PaginatedDataEvaluatorResponse { records: Humanloop.EvaluatorResponse[]; page: number; size: number; total: number; } humanloop-node-0.8.16/src/api/types/PaginatedDataFlowResponse.ts000066400000000000000000000003771476356526200246730ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface PaginatedDataFlowResponse { records: Humanloop.FlowResponse[]; page: number; size: number; total: number; } humanloop-node-0.8.16/src/api/types/PaginatedDataLogResponse.ts000066400000000000000000000003751476356526200245030ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface PaginatedDataLogResponse { records: Humanloop.LogResponse[]; page: number; size: number; total: number; } humanloop-node-0.8.16/src/api/types/PaginatedDataPromptResponse.ts000066400000000000000000000004031476356526200252330ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface PaginatedDataPromptResponse { records: Humanloop.PromptResponse[]; page: number; size: number; total: number; } humanloop-node-0.8.16/src/api/types/PaginatedDataToolResponse.ts000066400000000000000000000003771476356526200247010ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface PaginatedDataToolResponse { records: Humanloop.ToolResponse[]; page: number; size: number; total: number; } PaginatedDataUnionPromptResponseToolResponseDatasetResponseEvaluatorResponseFlowResponse.ts000066400000000000000000000006251476356526200415460ustar00rootroot00000000000000humanloop-node-0.8.16/src/api/types/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface PaginatedDataUnionPromptResponseToolResponseDatasetResponseEvaluatorResponseFlowResponse { records: Humanloop.PaginatedDataUnionPromptResponseToolResponseDatasetResponseEvaluatorResponseFlowResponseRecordsItem[]; page: number; size: number; total: number; } 260bc9bde39b7c9c0e1f41dc0984a79b96fe265c.paxheader00006660000000000000000000000224147635652620020707xustar00rootroot00000000000000148 path=humanloop-node-0.8.16/src/api/types/PaginatedDataUnionPromptResponseToolResponseDatasetResponseEvaluatorResponseFlowResponseRecordsItem.ts 260bc9bde39b7c9c0e1f41dc0984a79b96fe265c.data000066400000000000000000000006001476356526200175430ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export type PaginatedDataUnionPromptResponseToolResponseDatasetResponseEvaluatorResponseFlowResponseRecordsItem = | Humanloop.PromptResponse | Humanloop.ToolResponse | Humanloop.DatasetResponse | Humanloop.EvaluatorResponse | Humanloop.FlowResponse; humanloop-node-0.8.16/src/api/types/PaginatedDatapointResponse.ts000066400000000000000000000004051476356526200251050ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface PaginatedDatapointResponse { records: Humanloop.DatapointResponse[]; page: number; size: number; total: number; } humanloop-node-0.8.16/src/api/types/PaginatedDatasetResponse.ts000066400000000000000000000004011476356526200245430ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface PaginatedDatasetResponse { records: Humanloop.DatasetResponse[]; page: number; size: number; total: number; } humanloop-node-0.8.16/src/api/types/PaginatedEvaluationResponse.ts000066400000000000000000000004071476356526200252730ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface PaginatedEvaluationResponse { records: Humanloop.EvaluationResponse[]; page: number; size: number; total: number; } humanloop-node-0.8.16/src/api/types/PaginatedPromptLogResponse.ts000066400000000000000000000001741476356526200251100ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export type PaginatedPromptLogResponse = unknown; humanloop-node-0.8.16/src/api/types/PaginatedSessionResponse.ts000066400000000000000000000001721476356526200246060ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export type PaginatedSessionResponse = unknown; humanloop-node-0.8.16/src/api/types/PlatformAccessEnum.ts000066400000000000000000000004601476356526200233620ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * An enumeration. */ export type PlatformAccessEnum = "superadmin" | "supportadmin" | "user"; export const PlatformAccessEnum = { Superadmin: "superadmin", Supportadmin: "supportadmin", User: "user", } as const; humanloop-node-0.8.16/src/api/types/ProjectSortBy.ts000066400000000000000000000004361476356526200224030ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * An enumeration. */ export type ProjectSortBy = "created_at" | "updated_at" | "name"; export const ProjectSortBy = { CreatedAt: "created_at", UpdatedAt: "updated_at", Name: "name", } as const; humanloop-node-0.8.16/src/api/types/PromptCallLogResponse.ts000066400000000000000000000026131476356526200240670ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; /** * Sample specific response details for a Prompt call */ export interface PromptCallLogResponse { /** Generated output from your model for the provided inputs. Can be `None` if logging an error, or if creating a parent Log with the intention to populate it later. */ output?: string; /** User defined timestamp for when the log was created. */ createdAt?: Date; /** Error message if the log is an error. */ error?: string; /** Duration of the logged event in seconds. */ providerLatency?: number; /** Captured log and debug statements. */ stdout?: string; /** The message returned by the provider. */ outputMessage?: Humanloop.ChatMessage; /** Number of tokens in the prompt used to generate the output. */ promptTokens?: number; /** Number of reasoning tokens used to generate the output. */ reasoningTokens?: number; /** Number of tokens in the output generated by the model. */ outputTokens?: number; /** Cost in dollars associated to the tokens in the prompt. */ promptCost?: number; /** Cost in dollars associated to the tokens in the output. */ outputCost?: number; /** Reason the generation finished. */ finishReason?: string; /** The index of the sample in the batch. */ index: number; } humanloop-node-0.8.16/src/api/types/PromptCallResponse.ts000066400000000000000000000054331476356526200234300ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; /** * Response model for a Prompt call with potentially multiple log samples. */ export interface PromptCallResponse { /** When the logged event started. */ startTime?: Date; /** When the logged event ended. */ endTime?: Date; /** The messages passed to the to provider chat endpoint. */ messages?: Humanloop.ChatMessage[]; /** * Controls how the model uses tools. The following options are supported: * - `'none'` means the model will not call any tool and instead generates a message; this is the default when no tools are provided as part of the Prompt. * - `'auto'` means the model can decide to call one or more of the provided tools; this is the default when tools are provided as part of the Prompt. * - `'required'` means the model can decide to call one or more of the provided tools. * - `{'type': 'function', 'function': {name': }}` forces the model to use the named function. */ toolChoice?: Humanloop.PromptCallResponseToolChoice; /** Prompt used to generate the Log. */ prompt: Humanloop.PromptResponse; /** The inputs passed to the prompt template. */ inputs?: Record; /** Identifies where the model was called from. */ source?: string; /** Any additional metadata to record. */ metadata?: Record; /** Status of a Log. Set to `incomplete` if you intend to update and eventually complete the Log and want the File's monitoring Evaluators to wait until you mark it as `complete`. If log_status is not provided, observability will pick up the Log as soon as possible. Updating this from specified to unspecified is undefined behavior. */ logStatus?: Humanloop.LogStatus; /** Unique identifier for the Datapoint that this Log is derived from. This can be used by Humanloop to associate Logs to Evaluations. If provided, Humanloop will automatically associate this Log to Evaluations that require a Log for this Datapoint-Version pair. */ sourceDatapointId?: string; /** The ID of the parent Log to nest this Log under in a Trace. */ traceParentId?: string; /** End-user ID related to the Log. */ user?: string; /** The name of the Environment the Log is associated to. */ environment?: string; /** Whether the request/response payloads will be stored on Humanloop. */ save?: boolean; /** This will identify a Log. If you don't provide a Log ID, Humanloop will generate one for you. */ logId?: string; /** ID of the log. */ id: string; /** ID of the Trace containing the Prompt Call Log. */ traceId?: string; /** The logs generated by the Prompt call. */ logs: Humanloop.PromptCallLogResponse[]; } humanloop-node-0.8.16/src/api/types/PromptCallResponseToolChoice.ts000066400000000000000000000014321476356526200253740ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; /** * Controls how the model uses tools. The following options are supported: * - `'none'` means the model will not call any tool and instead generates a message; this is the default when no tools are provided as part of the Prompt. * - `'auto'` means the model can decide to call one or more of the provided tools; this is the default when tools are provided as part of the Prompt. * - `'required'` means the model can decide to call one or more of the provided tools. * - `{'type': 'function', 'function': {name': }}` forces the model to use the named function. */ export type PromptCallResponseToolChoice = "none" | "auto" | "required" | Humanloop.ToolChoice; humanloop-node-0.8.16/src/api/types/PromptCallStreamResponse.ts000066400000000000000000000031141476356526200245760ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; /** * Response model for calling Prompt in streaming mode. */ export interface PromptCallStreamResponse { /** Generated output from your model for the provided inputs. Can be `None` if logging an error, or if creating a parent Log with the intention to populate it later. */ output?: string; /** User defined timestamp for when the log was created. */ createdAt?: Date; /** Error message if the log is an error. */ error?: string; /** Duration of the logged event in seconds. */ providerLatency?: number; /** Captured log and debug statements. */ stdout?: string; /** The message returned by the provider. */ outputMessage?: Humanloop.ChatMessage; /** Number of tokens in the prompt used to generate the output. */ promptTokens?: number; /** Number of reasoning tokens used to generate the output. */ reasoningTokens?: number; /** Number of tokens in the output generated by the model. */ outputTokens?: number; /** Cost in dollars associated to the tokens in the prompt. */ promptCost?: number; /** Cost in dollars associated to the tokens in the output. */ outputCost?: number; /** Reason the generation finished. */ finishReason?: string; /** The index of the sample in the batch. */ index: number; /** ID of the log. */ id: string; /** ID of the Prompt the log belongs to. */ promptId: string; /** ID of the specific version of the Prompt. */ versionId: string; } humanloop-node-0.8.16/src/api/types/PromptKernelRequest.ts000066400000000000000000000064101476356526200236230ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface PromptKernelRequest { /** The model instance used, e.g. `gpt-4`. See [supported models](https://humanloop.com/docs/reference/supported-models) */ model: string; /** The provider model endpoint used. */ endpoint?: Humanloop.ModelEndpoints; /** * The template contains the main structure and instructions for the model, including input variables for dynamic values. * * For chat models, provide the template as a ChatTemplate (a list of messages), e.g. a system message, followed by a user message with an input variable. * For completion models, provide a prompt template as a string. * * Input variables should be specified with double curly bracket syntax: `{{input_name}}`. */ template?: Humanloop.PromptKernelRequestTemplate; /** The template language to use for rendering the template. */ templateLanguage?: Humanloop.TemplateLanguage; /** The company providing the underlying model service. */ provider?: Humanloop.ModelProviders; /** The maximum number of tokens to generate. Provide max_tokens=-1 to dynamically calculate the maximum number of tokens to generate given the length of the prompt */ maxTokens?: number; /** What sampling temperature to use when making a generation. Higher values means the model will be more creative. */ temperature?: number; /** An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. */ topP?: number; /** The string (or list of strings) after which the model will stop generating. The returned text will not contain the stop sequence. */ stop?: Humanloop.PromptKernelRequestStop; /** Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the generation so far. */ presencePenalty?: number; /** Number between -2.0 and 2.0. Positive values penalize new tokens based on how frequently they appear in the generation so far. */ frequencyPenalty?: number; /** Other parameter values to be passed to the provider call. */ other?: Record; /** If specified, model will make a best effort to sample deterministically, but it is not guaranteed. */ seed?: number; /** The format of the response. Only `{"type": "json_object"}` is currently supported for chat. */ responseFormat?: Humanloop.ResponseFormat; /** Give model guidance on how many reasoning tokens it should generate before creating a response to the prompt. This is only supported for OpenAI reasoning (o1, o3-mini) models. */ reasoningEffort?: Humanloop.ReasoningEffort; /** The tool specification that the model can choose to call if Tool calling is supported. */ tools?: Humanloop.ToolFunction[]; /** The IDs of the Tools in your organization that the model can choose to call if Tool calling is supported. The default deployed version of that tool is called. */ linkedTools?: string[]; /** Additional fields to describe the Prompt. Helpful to separate Prompt versions from each other with details on how they were created or used. */ attributes?: Record; } humanloop-node-0.8.16/src/api/types/PromptKernelRequestStop.ts000066400000000000000000000004201476356526200244640ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * The string (or list of strings) after which the model will stop generating. The returned text will not contain the stop sequence. */ export type PromptKernelRequestStop = string | string[]; humanloop-node-0.8.16/src/api/types/PromptKernelRequestTemplate.ts000066400000000000000000000011751476356526200253220ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; /** * The template contains the main structure and instructions for the model, including input variables for dynamic values. * * For chat models, provide the template as a ChatTemplate (a list of messages), e.g. a system message, followed by a user message with an input variable. * For completion models, provide a prompt template as a string. * * Input variables should be specified with double curly bracket syntax: `{{input_name}}`. */ export type PromptKernelRequestTemplate = string | Humanloop.ChatMessage[]; humanloop-node-0.8.16/src/api/types/PromptLogResponse.ts000066400000000000000000000106611476356526200232750ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; /** * General request for creating a Log */ export interface PromptLogResponse { /** The message returned by the provider. */ outputMessage?: Humanloop.ChatMessage; /** Number of tokens in the prompt used to generate the output. */ promptTokens?: number; /** Number of reasoning tokens used to generate the output. */ reasoningTokens?: number; /** Number of tokens in the output generated by the model. */ outputTokens?: number; /** Cost in dollars associated to the tokens in the prompt. */ promptCost?: number; /** Cost in dollars associated to the tokens in the output. */ outputCost?: number; /** Reason the generation finished. */ finishReason?: string; /** The messages passed to the to provider chat endpoint. */ messages?: Humanloop.ChatMessage[]; /** * Controls how the model uses tools. The following options are supported: * - `'none'` means the model will not call any tool and instead generates a message; this is the default when no tools are provided as part of the Prompt. * - `'auto'` means the model can decide to call one or more of the provided tools; this is the default when tools are provided as part of the Prompt. * - `'required'` means the model can decide to call one or more of the provided tools. * - `{'type': 'function', 'function': {name': }}` forces the model to use the named function. */ toolChoice?: Humanloop.PromptLogResponseToolChoice; /** Prompt used to generate the Log. */ prompt: Humanloop.PromptResponse; /** When the logged event started. */ startTime?: Date; /** When the logged event ended. */ endTime?: Date; /** Generated output from your model for the provided inputs. Can be `None` if logging an error, or if creating a parent Log with the intention to populate it later. */ output?: string; /** User defined timestamp for when the log was created. */ createdAt?: Date; /** Error message if the log is an error. */ error?: string; /** Duration of the logged event in seconds. */ providerLatency?: number; /** Captured log and debug statements. */ stdout?: string; /** Raw request sent to provider. */ providerRequest?: Record; /** Raw response received the provider. */ providerResponse?: Record; /** The inputs passed to the prompt template. */ inputs?: Record; /** Identifies where the model was called from. */ source?: string; /** Any additional metadata to record. */ metadata?: Record; /** Status of a Log. Set to `incomplete` if you intend to update and eventually complete the Log and want the File's monitoring Evaluators to wait until you mark it as `complete`. If log_status is not provided, observability will pick up the Log as soon as possible. Updating this from specified to unspecified is undefined behavior. */ logStatus?: Humanloop.LogStatus; /** Unique identifier for the Datapoint that this Log is derived from. This can be used by Humanloop to associate Logs to Evaluations. If provided, Humanloop will automatically associate this Log to Evaluations that require a Log for this Datapoint-Version pair. */ sourceDatapointId?: string; /** The ID of the parent Log to nest this Log under in a Trace. */ traceParentId?: string; /** Array of Batch IDs that this Log is part of. Batches are used to group Logs together for offline Evaluations */ batches?: string[]; /** End-user ID related to the Log. */ user?: string; /** The name of the Environment the Log is associated to. */ environment?: string; /** Whether the request/response payloads will be stored on Humanloop. */ save?: boolean; /** This will identify a Log. If you don't provide a Log ID, Humanloop will generate one for you. */ logId?: string; /** Unique identifier for the Log. */ id: string; /** List of Evaluator Logs associated with the Log. These contain Evaluator judgments on the Log. */ evaluatorLogs: Humanloop.EvaluatorLogResponse[]; /** Identifier for the Flow that the Trace belongs to. */ traceFlowId?: string; /** Identifier for the Trace that the Log belongs to. */ traceId?: string; /** Logs nested under this Log in the Trace. */ traceChildren?: Humanloop.LogResponse[]; } humanloop-node-0.8.16/src/api/types/PromptLogResponseToolChoice.ts000066400000000000000000000014311476356526200252410ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; /** * Controls how the model uses tools. The following options are supported: * - `'none'` means the model will not call any tool and instead generates a message; this is the default when no tools are provided as part of the Prompt. * - `'auto'` means the model can decide to call one or more of the provided tools; this is the default when tools are provided as part of the Prompt. * - `'required'` means the model can decide to call one or more of the provided tools. * - `{'type': 'function', 'function': {name': }}` forces the model to use the named function. */ export type PromptLogResponseToolChoice = "none" | "auto" | "required" | Humanloop.ToolChoice; humanloop-node-0.8.16/src/api/types/PromptResponse.ts000066400000000000000000000125241476356526200226330ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; /** * Base type that all File Responses should inherit from. * * Attributes defined here are common to all File Responses and should be overridden * in the inheriting classes with documentation and appropriate Field definitions. */ export interface PromptResponse { /** Path of the Prompt, including the name, which is used as a unique identifier. */ path: string; /** Unique identifier for the Prompt. */ id: string; /** ID of the directory that the file is in on Humanloop. */ directoryId?: string; /** The model instance used, e.g. `gpt-4`. See [supported models](https://humanloop.com/docs/reference/supported-models) */ model: string; /** The provider model endpoint used. */ endpoint?: Humanloop.ModelEndpoints; /** * The template contains the main structure and instructions for the model, including input variables for dynamic values. * * For chat models, provide the template as a ChatTemplate (a list of messages), e.g. a system message, followed by a user message with an input variable. * For completion models, provide a prompt template as a string. * * Input variables should be specified with double curly bracket syntax: `{{input_name}}`. */ template?: Humanloop.PromptResponseTemplate; /** The template language to use for rendering the template. */ templateLanguage?: Humanloop.TemplateLanguage; /** The company providing the underlying model service. */ provider?: Humanloop.ModelProviders; /** The maximum number of tokens to generate. Provide max_tokens=-1 to dynamically calculate the maximum number of tokens to generate given the length of the prompt */ maxTokens?: number; /** What sampling temperature to use when making a generation. Higher values means the model will be more creative. */ temperature?: number; /** An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. */ topP?: number; /** The string (or list of strings) after which the model will stop generating. The returned text will not contain the stop sequence. */ stop?: Humanloop.PromptResponseStop; /** Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the generation so far. */ presencePenalty?: number; /** Number between -2.0 and 2.0. Positive values penalize new tokens based on how frequently they appear in the generation so far. */ frequencyPenalty?: number; /** Other parameter values to be passed to the provider call. */ other?: Record; /** If specified, model will make a best effort to sample deterministically, but it is not guaranteed. */ seed?: number; /** The format of the response. Only `{"type": "json_object"}` is currently supported for chat. */ responseFormat?: Humanloop.ResponseFormat; /** Give model guidance on how many reasoning tokens it should generate before creating a response to the prompt. This is only supported for OpenAI reasoning (o1, o3-mini) models. */ reasoningEffort?: Humanloop.ReasoningEffort; /** The tool specification that the model can choose to call if Tool calling is supported. */ tools?: Humanloop.ToolFunction[]; /** The tools linked to your prompt that the model can call. */ linkedTools?: Humanloop.LinkedToolResponse[]; /** Additional fields to describe the Prompt. Helpful to separate Prompt versions from each other with details on how they were created or used. */ attributes?: Record; /** Message describing the changes made. */ commitMessage?: string; /** Description of the Prompt. */ description?: string; /** List of tags associated with the file. */ tags?: string[]; /** Long description of the file. */ readme?: string; /** Name of the Prompt. */ name: string; /** Unique identifier for the specific Prompt Version. If no query params provided, the default deployed Prompt Version is returned. */ versionId: string; type?: "prompt"; /** The list of environments the Prompt Version is deployed to. */ environments?: Humanloop.EnvironmentResponse[]; createdAt: Date; updatedAt: Date; /** The user who created the Prompt. */ createdBy?: Humanloop.UserResponse | undefined; /** The user who committed the Prompt Version. */ committedBy?: Humanloop.UserResponse | undefined; /** The date and time the Prompt Version was committed. */ committedAt?: Date; /** The status of the Prompt Version. */ status: Humanloop.VersionStatus; lastUsedAt: Date; /** The number of logs that have been generated for this Prompt Version */ versionLogsCount: number; /** The number of logs that have been generated across all Prompt Versions */ totalLogsCount: number; /** Inputs associated to the Prompt. Inputs correspond to any of the variables used within the Prompt template. */ inputs: Humanloop.InputResponse[]; /** Evaluators that have been attached to this Prompt that are used for monitoring logs. */ evaluators?: Humanloop.MonitoringEvaluatorResponse[]; /** Aggregation of Evaluator results for the Prompt Version. */ evaluatorAggregates?: Humanloop.EvaluatorAggregate[]; } humanloop-node-0.8.16/src/api/types/PromptResponseStop.ts000066400000000000000000000004131476356526200234730ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * The string (or list of strings) after which the model will stop generating. The returned text will not contain the stop sequence. */ export type PromptResponseStop = string | string[]; humanloop-node-0.8.16/src/api/types/PromptResponseTemplate.ts000066400000000000000000000011701476356526200243220ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; /** * The template contains the main structure and instructions for the model, including input variables for dynamic values. * * For chat models, provide the template as a ChatTemplate (a list of messages), e.g. a system message, followed by a user message with an input variable. * For completion models, provide a prompt template as a string. * * Input variables should be specified with double curly bracket syntax: `{{input_name}}`. */ export type PromptResponseTemplate = string | Humanloop.ChatMessage[]; humanloop-node-0.8.16/src/api/types/ProviderApiKeys.ts000066400000000000000000000005001476356526200227020ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export interface ProviderApiKeys { openai?: string; ai21?: string; mock?: string; anthropic?: string; deepseek?: string; bedrock?: string; cohere?: string; openaiAzure?: string; openaiAzureEndpoint?: string; } humanloop-node-0.8.16/src/api/types/ReasoningEffort.ts000066400000000000000000000004171476356526200227240ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * Supported reasoning effort. */ export type ReasoningEffort = "high" | "medium" | "low"; export const ReasoningEffort = { High: "high", Medium: "medium", Low: "low", } as const; humanloop-node-0.8.16/src/api/types/ResponseFormat.ts000066400000000000000000000005331476356526200225770ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; /** * Response format of the model. */ export interface ResponseFormat { type: Humanloop.ResponseFormatType; /** The JSON schema of the response format if type is json_schema. */ jsonSchema?: Record; } humanloop-node-0.8.16/src/api/types/ResponseFormatType.ts000066400000000000000000000003701476356526200234400ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export type ResponseFormatType = "json_object" | "json_schema"; export const ResponseFormatType = { JsonObject: "json_object", JsonSchema: "json_schema", } as const; humanloop-node-0.8.16/src/api/types/RunStatsResponse.ts000066400000000000000000000013401476356526200231270ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; /** * Stats for a Run in the Evaluation. */ export interface RunStatsResponse { /** Unique identifier for the Run. */ runId: string; /** Unique identifier for the evaluated Version. */ versionId?: string; /** Unique identifier for the batch of Logs to include in the Evaluation. */ batchId?: string; /** The total number of existing Logs in this Run. */ numLogs: number; /** Stats for each Evaluator Version applied to this Run. */ evaluatorStats: Humanloop.RunStatsResponseEvaluatorStatsItem[]; /** The current status of the Run. */ status: Humanloop.EvaluationStatus; } humanloop-node-0.8.16/src/api/types/RunStatsResponseEvaluatorStatsItem.ts000066400000000000000000000005301476356526200266500ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export type RunStatsResponseEvaluatorStatsItem = | Humanloop.NumericEvaluatorStatsResponse | Humanloop.BooleanEvaluatorStatsResponse | Humanloop.SelectEvaluatorStatsResponse | Humanloop.TextEvaluatorStatsResponse; humanloop-node-0.8.16/src/api/types/RunVersionResponse.ts000066400000000000000000000004171476356526200234620ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export type RunVersionResponse = | Humanloop.PromptResponse | Humanloop.ToolResponse | Humanloop.EvaluatorResponse | Humanloop.FlowResponse; humanloop-node-0.8.16/src/api/types/SelectEvaluatorStatsResponse.ts000066400000000000000000000017431476356526200254740ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * Also used for 'multi_select' Evaluator versions */ export interface SelectEvaluatorStatsResponse { /** Unique identifier for the Evaluator Version. */ evaluatorVersionId: string; /** The total number of Logs generated by this Evaluator Version on the Evaluated Version's Logs. This includes Nulls and Errors. */ totalLogs: number; /** The total number of Evaluator judgments for this Evaluator Version. This excludes Nulls and Errors. */ numJudgments: number; /** The total number of null judgments (i.e. abstentions) for this Evaluator Version. */ numNulls: number; /** The total number of errored Evaluators for this Evaluator Version. */ numErrors: number; /** The total number of Evaluator judgments for this Evaluator Version. This is a mapping of the option name to the number of judgments for that option. */ numJudgmentsPerOption: Record; } humanloop-node-0.8.16/src/api/types/SortOrder.ts000066400000000000000000000003261476356526200215530ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * An enumeration. */ export type SortOrder = "asc" | "desc"; export const SortOrder = { Asc: "asc", Desc: "desc", } as const; humanloop-node-0.8.16/src/api/types/TemplateLanguage.ts000066400000000000000000000004231476356526200230450ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * Template engine to use for rendering templates. */ export type TemplateLanguage = "default" | "jinja"; export const TemplateLanguage = { Default: "default", Jinja: "jinja", } as const; humanloop-node-0.8.16/src/api/types/TextChatContent.ts000066400000000000000000000002721476356526200227070ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export interface TextChatContent { type: "text"; /** The message's text content. */ text: string; } humanloop-node-0.8.16/src/api/types/TextEvaluatorStatsResponse.ts000066400000000000000000000014761476356526200252040ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * Base attributes for stats for an Evaluator Version-Evaluated Version pair * in the Evaluation. */ export interface TextEvaluatorStatsResponse { /** Unique identifier for the Evaluator Version. */ evaluatorVersionId: string; /** The total number of Logs generated by this Evaluator Version on the Evaluated Version's Logs. This includes Nulls and Errors. */ totalLogs: number; /** The total number of Evaluator judgments for this Evaluator Version. This excludes Nulls and Errors. */ numJudgments: number; /** The total number of null judgments (i.e. abstentions) for this Evaluator Version. */ numNulls: number; /** The total number of errored Evaluators for this Evaluator Version. */ numErrors: number; } humanloop-node-0.8.16/src/api/types/TimeUnit.ts000066400000000000000000000003621476356526200213660ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * An enumeration. */ export type TimeUnit = "day" | "week" | "month"; export const TimeUnit = { Day: "day", Week: "week", Month: "month", } as const; humanloop-node-0.8.16/src/api/types/ToolCall.ts000066400000000000000000000004131476356526200213360ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; /** * A tool call to be made. */ export interface ToolCall { id: string; type: Humanloop.ChatToolType; function: Humanloop.FunctionTool; } humanloop-node-0.8.16/src/api/types/ToolChoice.ts000066400000000000000000000004311476356526200216550ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; /** * Tool choice to force the model to use a tool. */ export interface ToolChoice { type: Humanloop.ChatToolType; function: Humanloop.FunctionToolChoice; } humanloop-node-0.8.16/src/api/types/ToolFunction.ts000066400000000000000000000010221476356526200222450ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export interface ToolFunction { /** Name for the tool referenced by the model. */ name: string; /** Description of the tool referenced by the model */ description: string; /** If true, forces the model to output json data in the structure of the parameters schema. */ strict?: boolean; /** Parameters needed to run the Tool, defined in JSON Schema format: https://json-schema.org/ */ parameters?: Record; } humanloop-node-0.8.16/src/api/types/ToolKernelRequest.ts000066400000000000000000000012461476356526200232610ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface ToolKernelRequest { /** Callable function specification of the Tool shown to the model for tool calling. */ function?: Humanloop.ToolFunction; /** Code source of the Tool. */ sourceCode?: string; /** Values needed to setup the Tool, defined in JSON Schema format: https://json-schema.org/ */ setupValues?: Record; /** Additional fields to describe the Tool. Helpful to separate Tool versions from each other with details on how they were created or used. */ attributes?: Record; } humanloop-node-0.8.16/src/api/types/ToolLogResponse.ts000066400000000000000000000060521476356526200227300ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; /** * General request for creating a Log */ export interface ToolLogResponse { /** When the logged event started. */ startTime?: Date; /** When the logged event ended. */ endTime?: Date; /** Generated output from your model for the provided inputs. Can be `None` if logging an error, or if creating a parent Log with the intention to populate it later. */ output?: string; /** User defined timestamp for when the log was created. */ createdAt?: Date; /** Error message if the log is an error. */ error?: string; /** Duration of the logged event in seconds. */ providerLatency?: number; /** Captured log and debug statements. */ stdout?: string; /** Raw request sent to provider. */ providerRequest?: Record; /** Raw response received the provider. */ providerResponse?: Record; /** The inputs passed to the prompt template. */ inputs?: Record; /** Identifies where the model was called from. */ source?: string; /** Any additional metadata to record. */ metadata?: Record; /** Status of a Log. Set to `incomplete` if you intend to update and eventually complete the Log and want the File's monitoring Evaluators to wait until you mark it as `complete`. If log_status is not provided, observability will pick up the Log as soon as possible. Updating this from specified to unspecified is undefined behavior. */ logStatus?: Humanloop.LogStatus; /** Unique identifier for the Datapoint that this Log is derived from. This can be used by Humanloop to associate Logs to Evaluations. If provided, Humanloop will automatically associate this Log to Evaluations that require a Log for this Datapoint-Version pair. */ sourceDatapointId?: string; /** The ID of the parent Log to nest this Log under in a Trace. */ traceParentId?: string; /** Array of Batch IDs that this Log is part of. Batches are used to group Logs together for offline Evaluations */ batches?: string[]; /** End-user ID related to the Log. */ user?: string; /** The name of the Environment the Log is associated to. */ environment?: string; /** Whether the request/response payloads will be stored on Humanloop. */ save?: boolean; /** This will identify a Log. If you don't provide a Log ID, Humanloop will generate one for you. */ logId?: string; /** Unique identifier for the Log. */ id: string; /** List of Evaluator Logs associated with the Log. These contain Evaluator judgments on the Log. */ evaluatorLogs: Humanloop.EvaluatorLogResponse[]; /** Identifier for the Flow that the Trace belongs to. */ traceFlowId?: string; /** Identifier for the Trace that the Log belongs to. */ traceId?: string; /** Logs nested under this Log in the Trace. */ traceChildren?: Humanloop.LogResponse[]; /** Tool used to generate the Log. */ tool: Humanloop.ToolResponse; } humanloop-node-0.8.16/src/api/types/ToolResponse.ts000066400000000000000000000057131476356526200222710ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; /** * Base type that all File Responses should inherit from. * * Attributes defined here are common to all File Responses and should be overridden * in the inheriting classes with documentation and appropriate Field definitions. */ export interface ToolResponse { /** Path of the Tool, including the name, which is used as a unique identifier. */ path: string; /** Unique identifier for the Tool. */ id: string; /** ID of the directory that the file is in on Humanloop. */ directoryId?: string; /** Callable function specification of the Tool shown to the model for tool calling. */ function?: Humanloop.ToolFunction; /** Code source of the Tool. */ sourceCode?: string; /** Values needed to setup the Tool, defined in JSON Schema format: https://json-schema.org/ */ setupValues?: Record; /** Additional fields to describe the Tool. Helpful to separate Tool versions from each other with details on how they were created or used. */ attributes?: Record; /** Type of Tool. */ toolType?: Humanloop.FilesToolType; /** Message describing the changes made. */ commitMessage?: string; /** Name of the Tool, which is used as a unique identifier. */ name: string; /** Description of the Tool. */ description?: string; /** Long description of the file. */ readme?: string; /** List of tags associated with the file. */ tags?: string[]; /** Unique identifier for the specific Tool Version. If no query params provided, the default deployed Tool Version is returned. */ versionId: string; type?: "tool"; /** The list of environments the Tool Version is deployed to. */ environments?: Humanloop.EnvironmentResponse[]; createdAt: Date; updatedAt: Date; /** The user who created the Tool. */ createdBy?: Humanloop.UserResponse | undefined; /** The user who committed the Tool Version. */ committedBy?: Humanloop.UserResponse | undefined; /** The date and time the Tool Version was committed. */ committedAt?: Date; /** The status of the Tool Version. */ status: Humanloop.VersionStatus; lastUsedAt: Date; /** The number of logs that have been generated for this Tool Version */ versionLogsCount: number; /** The number of logs that have been generated across all Tool Versions */ totalLogsCount: number; /** Inputs associated to the Prompt. Inputs correspond to any of the variables used within the Tool template. */ inputs: Humanloop.InputResponse[]; /** Evaluators that have been attached to this Tool that are used for monitoring logs. */ evaluators?: Humanloop.MonitoringEvaluatorResponse[]; /** Signature of the Tool. */ signature?: string; /** Aggregation of Evaluator results for the Tool Version. */ evaluatorAggregates?: Humanloop.EvaluatorAggregate[]; } humanloop-node-0.8.16/src/api/types/UpdateDatesetAction.ts000066400000000000000000000004101476356526200235140ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * An enumeration. */ export type UpdateDatesetAction = "set" | "add" | "remove"; export const UpdateDatesetAction = { Set: "set", Add: "add", Remove: "remove", } as const; humanloop-node-0.8.16/src/api/types/UpdateEvaluationStatusRequest.ts000066400000000000000000000001771476356526200256630ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export type UpdateEvaluationStatusRequest = unknown; humanloop-node-0.8.16/src/api/types/UserResponse.ts000066400000000000000000000001561476356526200222660ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export type UserResponse = unknown; humanloop-node-0.8.16/src/api/types/Valence.ts000066400000000000000000000004211476356526200212010ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * An enumeration. */ export type Valence = "positive" | "negative" | "neutral"; export const Valence = { Positive: "positive", Negative: "negative", Neutral: "neutral", } as const; humanloop-node-0.8.16/src/api/types/ValidationError.ts000066400000000000000000000003471476356526200227370ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface ValidationError { loc: Humanloop.ValidationErrorLocItem[]; msg: string; type: string; } humanloop-node-0.8.16/src/api/types/ValidationErrorLocItem.ts000066400000000000000000000002001476356526200242000ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export type ValidationErrorLocItem = string | number; humanloop-node-0.8.16/src/api/types/VersionDeploymentResponse.ts000066400000000000000000000007351476356526200250410ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; /** * A variable reference to the Version deployed to an Environment */ export interface VersionDeploymentResponse { /** The File that the deployed Version belongs to. */ file: Humanloop.VersionDeploymentResponseFile; /** The Environment that the Version is deployed to. */ environment: Humanloop.EnvironmentResponse; type: "environment"; } humanloop-node-0.8.16/src/api/types/VersionDeploymentResponseFile.ts000066400000000000000000000005641476356526200256410ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; /** * The File that the deployed Version belongs to. */ export type VersionDeploymentResponseFile = | Humanloop.PromptResponse | Humanloop.ToolResponse | Humanloop.DatasetResponse | Humanloop.EvaluatorResponse | Humanloop.FlowResponse; humanloop-node-0.8.16/src/api/types/VersionId.ts000066400000000000000000000002561476356526200215340ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export interface VersionId { /** Unique identifier for the Version. */ versionId: string; } humanloop-node-0.8.16/src/api/types/VersionIdResponse.ts000066400000000000000000000005101476356526200232440ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; /** * A reference to a specific Version by its ID */ export interface VersionIdResponse { /** The specific Version being referenced. */ version: Humanloop.VersionIdResponseVersion; type: "version"; } humanloop-node-0.8.16/src/api/types/VersionIdResponseVersion.ts000066400000000000000000000005471476356526200246240ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; /** * The specific Version being referenced. */ export type VersionIdResponseVersion = | Humanloop.PromptResponse | Humanloop.ToolResponse | Humanloop.DatasetResponse | Humanloop.EvaluatorResponse | Humanloop.FlowResponse; humanloop-node-0.8.16/src/api/types/VersionReferenceResponse.ts000066400000000000000000000003341476356526200246120ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export type VersionReferenceResponse = Humanloop.VersionDeploymentResponse | Humanloop.VersionIdResponse; humanloop-node-0.8.16/src/api/types/VersionStatsResponse.ts000066400000000000000000000010701476356526200240100ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export interface VersionStatsResponse { /** Unique identifier for the evaluated Version. */ versionId: string; /** Unique identifier for the batch of Logs to include in the Evaluation. */ batchId?: string; /** The total number of existing Logs in this Run. */ numLogs: number; /** Stats for each Evaluator Version applied to this Run. */ evaluatorVersionStats: Humanloop.VersionStatsResponseEvaluatorVersionStatsItem[]; } humanloop-node-0.8.16/src/api/types/VersionStatsResponseEvaluatorVersionStatsItem.ts000066400000000000000000000005431476356526200311030ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as Humanloop from "../index"; export type VersionStatsResponseEvaluatorVersionStatsItem = | Humanloop.NumericEvaluatorStatsResponse | Humanloop.BooleanEvaluatorStatsResponse | Humanloop.SelectEvaluatorStatsResponse | Humanloop.TextEvaluatorStatsResponse; humanloop-node-0.8.16/src/api/types/VersionStatus.ts000066400000000000000000000004511476356526200224600ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ /** * An enumeration. */ export type VersionStatus = "uncommitted" | "committed" | "deleted"; export const VersionStatus = { Uncommitted: "uncommitted", Committed: "committed", Deleted: "deleted", } as const; humanloop-node-0.8.16/src/api/types/index.ts000066400000000000000000000143271476356526200207450ustar00rootroot00000000000000export * from "./BooleanEvaluatorStatsResponse"; export * from "./ChatMessageContentItem"; export * from "./ChatMessageContent"; export * from "./ChatMessage"; export * from "./ChatRole"; export * from "./CodeEvaluatorRequest"; export * from "./CommitRequest"; export * from "./CreateDatapointRequestTargetValue"; export * from "./CreateDatapointRequest"; export * from "./CreateEvaluatorLogResponse"; export * from "./CreateFlowLogResponse"; export * from "./CreatePromptLogResponse"; export * from "./CreateToolLogResponse"; export * from "./DashboardConfiguration"; export * from "./DatapointResponseTargetValue"; export * from "./DatapointResponse"; export * from "./DatasetResponse"; export * from "./DirectoryResponse"; export * from "./DirectoryWithParentsAndChildrenResponseFilesItem"; export * from "./DirectoryWithParentsAndChildrenResponse"; export * from "./EnvironmentResponse"; export * from "./EnvironmentTag"; export * from "./EvaluateeRequest"; export * from "./EvaluateeResponse"; export * from "./EvaluationEvaluatorResponse"; export * from "./EvaluationLogResponse"; export * from "./EvaluationResponse"; export * from "./EvaluationRunResponse"; export * from "./EvaluationRunsResponse"; export * from "./EvaluationStats"; export * from "./EvaluationStatus"; export * from "./EvaluatorActivationDeactivationRequestActivateItem"; export * from "./EvaluatorActivationDeactivationRequestDeactivateItem"; export * from "./EvaluatorActivationDeactivationRequest"; export * from "./EvaluatorAggregate"; export * from "./EvaluatorArgumentsType"; export * from "./EvaluatorFileId"; export * from "./EvaluatorFilePath"; export * from "./EvaluatorJudgmentNumberLimit"; export * from "./EvaluatorJudgmentOptionResponse"; export * from "./EvaluatorLogResponseJudgment"; export * from "./EvaluatorLogResponse"; export * from "./EvaluatorResponseSpec"; export * from "./EvaluatorResponse"; export * from "./EvaluatorReturnTypeEnum"; export * from "./EvaluatorVersionId"; export * from "./ExternalEvaluatorRequest"; export * from "./FileEnvironmentResponseFile"; export * from "./FileEnvironmentResponse"; export * from "./FileId"; export * from "./FilePath"; export * from "./FileRequest"; export * from "./FileType"; export * from "./FlowKernelRequest"; export * from "./FlowLogResponse"; export * from "./FlowResponse"; export * from "./FunctionTool"; export * from "./FunctionToolChoice"; export * from "./HttpValidationError"; export * from "./HumanEvaluatorRequestReturnType"; export * from "./HumanEvaluatorRequest"; export * from "./ImageChatContent"; export * from "./ImageUrlDetail"; export * from "./ImageUrl"; export * from "./InputResponse"; export * from "./LlmEvaluatorRequest"; export * from "./LinkedToolResponse"; export * from "./ListDatasets"; export * from "./ListEvaluators"; export * from "./ListFlows"; export * from "./ListPrompts"; export * from "./ListTools"; export * from "./LogResponse"; export * from "./LogStatus"; export * from "./ModelEndpoints"; export * from "./ModelProviders"; export * from "./MonitoringEvaluatorEnvironmentRequest"; export * from "./MonitoringEvaluatorResponse"; export * from "./MonitoringEvaluatorState"; export * from "./MonitoringEvaluatorVersionRequest"; export * from "./NumericEvaluatorStatsResponse"; export * from "./ObservabilityStatus"; export * from "./OverallStats"; export * from "./PaginatedDatapointResponse"; export * from "./PaginatedDatasetResponse"; export * from "./PaginatedDataEvaluationLogResponse"; export * from "./PaginatedEvaluationResponse"; export * from "./PaginatedDataEvaluatorResponse"; export * from "./PaginatedDataFlowResponse"; export * from "./PaginatedDataLogResponse"; export * from "./PaginatedDataPromptResponse"; export * from "./PaginatedDataToolResponse"; export * from "./PaginatedDataUnionPromptResponseToolResponseDatasetResponseEvaluatorResponseFlowResponseRecordsItem"; export * from "./PaginatedDataUnionPromptResponseToolResponseDatasetResponseEvaluatorResponseFlowResponse"; export * from "./PlatformAccessEnum"; export * from "./ProjectSortBy"; export * from "./PromptCallLogResponse"; export * from "./PromptCallResponseToolChoice"; export * from "./PromptCallResponse"; export * from "./PromptCallStreamResponse"; export * from "./PromptKernelRequestTemplate"; export * from "./PromptKernelRequestStop"; export * from "./PromptKernelRequest"; export * from "./PromptLogResponseToolChoice"; export * from "./PromptLogResponse"; export * from "./PromptResponseTemplate"; export * from "./PromptResponseStop"; export * from "./PromptResponse"; export * from "./ProviderApiKeys"; export * from "./ReasoningEffort"; export * from "./ResponseFormatType"; export * from "./ResponseFormat"; export * from "./RunStatsResponseEvaluatorStatsItem"; export * from "./RunStatsResponse"; export * from "./RunVersionResponse"; export * from "./SelectEvaluatorStatsResponse"; export * from "./SortOrder"; export * from "./TemplateLanguage"; export * from "./TextChatContent"; export * from "./TextEvaluatorStatsResponse"; export * from "./TimeUnit"; export * from "./ToolCall"; export * from "./ToolChoice"; export * from "./ToolFunction"; export * from "./ToolKernelRequest"; export * from "./ToolLogResponse"; export * from "./ToolResponse"; export * from "./UpdateDatesetAction"; export * from "./UserResponse"; export * from "./Valence"; export * from "./ValidationErrorLocItem"; export * from "./ValidationError"; export * from "./VersionDeploymentResponseFile"; export * from "./VersionDeploymentResponse"; export * from "./VersionId"; export * from "./VersionIdResponseVersion"; export * from "./VersionIdResponse"; export * from "./VersionReferenceResponse"; export * from "./VersionStatsResponseEvaluatorVersionStatsItem"; export * from "./VersionStatsResponse"; export * from "./VersionStatus"; export * from "./ChatToolType"; export * from "./FilesToolType"; export * from "./AgentConfigResponse"; export * from "./EvaluatorConfigResponse"; export * from "./UpdateEvaluationStatusRequest"; export * from "./PaginatedPromptLogResponse"; export * from "./PaginatedSessionResponse"; export * from "./ConfigToolResponse"; export * from "./FeedbackType"; export * from "./BaseModelsUserResponse"; export * from "./DatasetsRequest"; export * from "./EvaluationsDatasetRequest"; export * from "./EvaluationsRequest"; export * from "./EvaluatorsRequest"; humanloop-node-0.8.16/src/context.ts000066400000000000000000000107111476356526200173760ustar00rootroot00000000000000import * as contextApi from "@opentelemetry/api"; import { HumanloopRuntimeError } from "./error"; import { HUMANLOOP_CONTEXT_DECORATOR, HUMANLOOP_CONTEXT_EVALUATION, HUMANLOOP_CONTEXT_TRACE_ID, } from "./otel/constants"; export function getTraceId(): string | undefined { const key = contextApi.createContextKey(HUMANLOOP_CONTEXT_TRACE_ID); const value = contextApi.context.active().getValue(key); return (value || undefined) as string | undefined; } export function setTraceId(flowLogId: string): contextApi.Context { const key = contextApi.createContextKey(HUMANLOOP_CONTEXT_TRACE_ID); return contextApi.context.active().setValue(key, flowLogId); } export type DecoratorContext = { path: string; type: "prompt" | "tool" | "flow"; version: Record; }; export function setDecoratorContext( decoratorContext: DecoratorContext, ): contextApi.Context { const key = contextApi.createContextKey(HUMANLOOP_CONTEXT_DECORATOR); return contextApi.context.active().setValue(key, decoratorContext); } export function getDecoratorContext(): DecoratorContext | undefined { const key = contextApi.createContextKey(HUMANLOOP_CONTEXT_DECORATOR); return (contextApi.context.active().getValue(key) || undefined) as | DecoratorContext | undefined; } export class EvaluationContext { public sourceDatapointId: string; public runId: string; public fileId: string; public path: string; private _logged: boolean; private _callback: (log_id: string) => Promise; constructor({ sourceDatapointId, runId, evalCallback, fileId, path, }: { sourceDatapointId: string; runId: string; evalCallback: (log_id: string) => Promise; fileId: string; path: string; }) { this.sourceDatapointId = sourceDatapointId; this.runId = runId; this._callback = evalCallback; this.fileId = fileId; this.path = path; this._logged = false; } public get logged(): boolean { return this._logged; } public logArgsWithContext({ logArgs, forOtel, path, fileId, }: { logArgs: Record; forOtel: boolean; path?: string; fileId?: string; }): [Record, ((log_id: string) => Promise) | null] { if (path === undefined && fileId === undefined) { throw new HumanloopRuntimeError( "Internal error: Evaluation context called without providing a path or file_id", ); } if (this._logged) { return [logArgs, null]; } if (this.path !== undefined && this.path === path) { this._logged = true; return [ forOtel ? { ...logArgs, source_datapoint_id: this.sourceDatapointId, run_id: this.runId, } : { ...logArgs, sourceDatapointId: this.sourceDatapointId, runId: this.runId, }, this._callback, ]; } else if (this.fileId !== undefined && this.fileId === fileId) { this._logged = true; return [ forOtel ? { ...logArgs, sourceDatapointId: this.sourceDatapointId, runId: this.runId, } : { ...logArgs, sourceDatapointId: this.sourceDatapointId, runId: this.runId, }, this._callback, ]; } else { return [logArgs, null]; } } } // ... existing code ... export function setEvaluationContext( evaluationContext: EvaluationContext, ): contextApi.Context { const key = contextApi.createContextKey(HUMANLOOP_CONTEXT_EVALUATION); return contextApi.context.active().setValue(key, evaluationContext); } export function getEvaluationContext(): EvaluationContext | undefined { const key = contextApi.createContextKey(HUMANLOOP_CONTEXT_EVALUATION); return (contextApi.context.active().getValue(key) || undefined) as | EvaluationContext | undefined; } humanloop-node-0.8.16/src/core/000077500000000000000000000000001476356526200162725ustar00rootroot00000000000000humanloop-node-0.8.16/src/core/fetcher/000077500000000000000000000000001476356526200177125ustar00rootroot00000000000000humanloop-node-0.8.16/src/core/fetcher/APIResponse.ts000066400000000000000000000004221476356526200224100ustar00rootroot00000000000000export type APIResponse = SuccessfulResponse | FailedResponse; export interface SuccessfulResponse { ok: true; body: T; headers?: Record; } export interface FailedResponse { ok: false; error: T; } humanloop-node-0.8.16/src/core/fetcher/Fetcher.ts000066400000000000000000000104511476356526200216430ustar00rootroot00000000000000import { toJson } from "../json"; import { APIResponse } from "./APIResponse"; import { createRequestUrl } from "./createRequestUrl"; import { getFetchFn } from "./getFetchFn"; import { getRequestBody } from "./getRequestBody"; import { getResponseBody } from "./getResponseBody"; import { makeRequest } from "./makeRequest"; import { requestWithRetries } from "./requestWithRetries"; export type FetchFunction = (args: Fetcher.Args) => Promise>; export declare namespace Fetcher { export interface Args { url: string; method: string; contentType?: string; headers?: Record; queryParameters?: Record; body?: unknown; timeoutMs?: number; maxRetries?: number; withCredentials?: boolean; abortSignal?: AbortSignal; requestType?: "json" | "file" | "bytes"; responseType?: "json" | "blob" | "sse" | "streaming" | "text" | "arrayBuffer"; duplex?: "half"; } export type Error = FailedStatusCodeError | NonJsonError | TimeoutError | UnknownError; export interface FailedStatusCodeError { reason: "status-code"; statusCode: number; body: unknown; } export interface NonJsonError { reason: "non-json"; statusCode: number; rawBody: string; } export interface TimeoutError { reason: "timeout"; } export interface UnknownError { reason: "unknown"; errorMessage: string; } } export async function fetcherImpl(args: Fetcher.Args): Promise> { const headers: Record = {}; if (args.body !== undefined && args.contentType != null) { headers["Content-Type"] = args.contentType; } if (args.headers != null) { for (const [key, value] of Object.entries(args.headers)) { if (value != null) { headers[key] = value; } } } const url = createRequestUrl(args.url, args.queryParameters); const requestBody: BodyInit | undefined = await getRequestBody({ body: args.body, type: args.requestType === "json" ? "json" : "other", }); const fetchFn = await getFetchFn(); try { const response = await requestWithRetries( async () => makeRequest( fetchFn, url, args.method, headers, requestBody, args.timeoutMs, args.abortSignal, args.withCredentials, args.duplex, ), args.maxRetries, ); const responseBody = await getResponseBody(response, args.responseType); if (response.status >= 200 && response.status < 400) { return { ok: true, body: responseBody as R, headers: response.headers, }; } else { return { ok: false, error: { reason: "status-code", statusCode: response.status, body: responseBody, }, }; } } catch (error) { if (args.abortSignal != null && args.abortSignal.aborted) { return { ok: false, error: { reason: "unknown", errorMessage: "The user aborted a request", }, }; } else if (error instanceof Error && error.name === "AbortError") { return { ok: false, error: { reason: "timeout", }, }; } else if (error instanceof Error) { return { ok: false, error: { reason: "unknown", errorMessage: error.message, }, }; } return { ok: false, error: { reason: "unknown", errorMessage: toJson(error), }, }; } } export const fetcher: FetchFunction = fetcherImpl; humanloop-node-0.8.16/src/core/fetcher/Supplier.ts000066400000000000000000000004651476356526200220720ustar00rootroot00000000000000export type Supplier = T | Promise | (() => T | Promise); export const Supplier = { get: async (supplier: Supplier): Promise => { if (typeof supplier === "function") { return (supplier as () => T)(); } else { return supplier; } }, }; humanloop-node-0.8.16/src/core/fetcher/createRequestUrl.ts000066400000000000000000000005161476356526200235630ustar00rootroot00000000000000import qs from "qs"; export function createRequestUrl( baseUrl: string, queryParameters?: Record, ): string { return Object.keys(queryParameters ?? {}).length > 0 ? `${baseUrl}?${qs.stringify(queryParameters, { arrayFormat: "repeat" })}` : baseUrl; } humanloop-node-0.8.16/src/core/fetcher/getFetchFn.ts000066400000000000000000000014331476356526200223000ustar00rootroot00000000000000import { RUNTIME } from "../runtime"; /** * Returns a fetch function based on the runtime */ export async function getFetchFn(): Promise { // In Node.js 18+ environments, use native fetch if (RUNTIME.type === "node" && RUNTIME.parsedVersion != null && RUNTIME.parsedVersion >= 18) { return fetch; } // In Node.js 18 or lower environments, the SDK always uses`node-fetch`. if (RUNTIME.type === "node") { return (await import("node-fetch")).default as any; } // Otherwise the SDK uses global fetch if available, // and falls back to node-fetch. if (typeof fetch == "function") { return fetch; } // Defaults to node `node-fetch` if global fetch isn't available return (await import("node-fetch")).default as any; } humanloop-node-0.8.16/src/core/fetcher/getHeader.ts000066400000000000000000000004541476356526200221550ustar00rootroot00000000000000export function getHeader(headers: Record, header: string): string | undefined { for (const [headerKey, headerValue] of Object.entries(headers)) { if (headerKey.toLowerCase() === header.toLowerCase()) { return headerValue; } } return undefined; } humanloop-node-0.8.16/src/core/fetcher/getRequestBody.ts000066400000000000000000000006241476356526200232320ustar00rootroot00000000000000import { toJson } from "../json"; export declare namespace GetRequestBody { interface Args { body: unknown; type: "json" | "file" | "bytes" | "other"; } } export async function getRequestBody({ body, type }: GetRequestBody.Args): Promise { if (type.includes("json")) { return toJson(body); } else { return body as BodyInit; } } humanloop-node-0.8.16/src/core/fetcher/getResponseBody.ts000066400000000000000000000024061476356526200234000ustar00rootroot00000000000000import { chooseStreamWrapper } from "./stream-wrappers/chooseStreamWrapper"; export async function getResponseBody(response: Response, responseType?: string): Promise { if (response.body != null && responseType === "blob") { return await response.blob(); } else if (response.body != null && responseType === "arrayBuffer") { return await response.arrayBuffer(); } else if (response.body != null && responseType === "sse") { return response.body; } else if (response.body != null && responseType === "streaming") { return chooseStreamWrapper(response.body); } else if (response.body != null && responseType === "text") { return await response.text(); } else { const text = await response.text(); if (text.length > 0) { try { let responseBody = JSON.parse(text); return responseBody; } catch (err) { return { ok: false, error: { reason: "non-json", statusCode: response.status, rawBody: text, }, }; } } else { return undefined; } } } humanloop-node-0.8.16/src/core/fetcher/index.ts000066400000000000000000000003401476356526200213660ustar00rootroot00000000000000export type { APIResponse } from "./APIResponse"; export { fetcher } from "./Fetcher"; export type { Fetcher, FetchFunction } from "./Fetcher"; export { getHeader } from "./getHeader"; export { Supplier } from "./Supplier"; humanloop-node-0.8.16/src/core/fetcher/makeRequest.ts000066400000000000000000000022511476356526200225500ustar00rootroot00000000000000import { anySignal, getTimeoutSignal } from "./signals"; export const makeRequest = async ( fetchFn: (url: string, init: RequestInit) => Promise, url: string, method: string, headers: Record, requestBody: BodyInit | undefined, timeoutMs?: number, abortSignal?: AbortSignal, withCredentials?: boolean, duplex?: "half", ): Promise => { const signals: AbortSignal[] = []; // Add timeout signal let timeoutAbortId: NodeJS.Timeout | undefined = undefined; if (timeoutMs != null) { const { signal, abortId } = getTimeoutSignal(timeoutMs); timeoutAbortId = abortId; signals.push(signal); } // Add arbitrary signal if (abortSignal != null) { signals.push(abortSignal); } let newSignals = anySignal(signals); const response = await fetchFn(url, { method: method, headers, body: requestBody, signal: newSignals, credentials: withCredentials ? "include" : undefined, // @ts-ignore duplex, }); if (timeoutAbortId != null) { clearTimeout(timeoutAbortId); } return response; }; humanloop-node-0.8.16/src/core/fetcher/requestWithRetries.ts000066400000000000000000000022711476356526200241460ustar00rootroot00000000000000const INITIAL_RETRY_DELAY = 1000; // in milliseconds const MAX_RETRY_DELAY = 60000; // in milliseconds const DEFAULT_MAX_RETRIES = 2; const JITTER_FACTOR = 0.2; // 20% random jitter function addJitter(delay: number): number { // Generate a random value between -JITTER_FACTOR and +JITTER_FACTOR const jitterMultiplier = 1 + (Math.random() * 2 - 1) * JITTER_FACTOR; return delay * jitterMultiplier; } export async function requestWithRetries( requestFn: () => Promise, maxRetries: number = DEFAULT_MAX_RETRIES, ): Promise { let response: Response = await requestFn(); for (let i = 0; i < maxRetries; ++i) { if ([408, 429].includes(response.status) || response.status >= 500) { // Calculate base delay using exponential backoff (in milliseconds) const baseDelay = Math.min(INITIAL_RETRY_DELAY * Math.pow(2, i), MAX_RETRY_DELAY); // Add jitter to the delay const delayWithJitter = addJitter(baseDelay); await new Promise((resolve) => setTimeout(resolve, delayWithJitter)); response = await requestFn(); } else { break; } } return response!; } humanloop-node-0.8.16/src/core/fetcher/signals.ts000066400000000000000000000024531476356526200217260ustar00rootroot00000000000000const TIMEOUT = "timeout"; export function getTimeoutSignal(timeoutMs: number): { signal: AbortSignal; abortId: NodeJS.Timeout } { const controller = new AbortController(); const abortId = setTimeout(() => controller.abort(TIMEOUT), timeoutMs); return { signal: controller.signal, abortId }; } /** * Returns an abort signal that is getting aborted when * at least one of the specified abort signals is aborted. * * Requires at least node.js 18. */ export function anySignal(...args: AbortSignal[] | [AbortSignal[]]): AbortSignal { // Allowing signals to be passed either as array // of signals or as multiple arguments. const signals = (args.length === 1 && Array.isArray(args[0]) ? args[0] : args) as AbortSignal[]; const controller = new AbortController(); for (const signal of signals) { if (signal.aborted) { // Exiting early if one of the signals // is already aborted. controller.abort((signal as any)?.reason); break; } // Listening for signals and removing the listeners // when at least one symbol is aborted. signal.addEventListener("abort", () => controller.abort((signal as any)?.reason), { signal: controller.signal, }); } return controller.signal; } humanloop-node-0.8.16/src/core/fetcher/stream-wrappers/000077500000000000000000000000001476356526200230465ustar00rootroot00000000000000humanloop-node-0.8.16/src/core/fetcher/stream-wrappers/Node18UniversalStreamWrapper.ts000066400000000000000000000171531476356526200310710ustar00rootroot00000000000000import type { Writable } from "readable-stream"; import { EventCallback, StreamWrapper } from "./chooseStreamWrapper"; export class Node18UniversalStreamWrapper implements StreamWrapper | Writable | WritableStream, ReadFormat> { private readableStream: ReadableStream; private reader: ReadableStreamDefaultReader; private events: Record; private paused: boolean; private resumeCallback: ((value?: unknown) => void) | null; private encoding: string | null; constructor(readableStream: ReadableStream) { this.readableStream = readableStream; this.reader = this.readableStream.getReader(); this.events = { data: [], end: [], error: [], readable: [], close: [], pause: [], resume: [], }; this.paused = false; this.resumeCallback = null; this.encoding = null; } public on(event: string, callback: EventCallback): void { this.events[event]?.push(callback); } public off(event: string, callback: EventCallback): void { this.events[event] = this.events[event]?.filter((cb) => cb !== callback); } public pipe( dest: Node18UniversalStreamWrapper | Writable | WritableStream, ): Node18UniversalStreamWrapper | Writable | WritableStream { this.on("data", async (chunk) => { if (dest instanceof Node18UniversalStreamWrapper) { dest._write(chunk); } else if (dest instanceof WritableStream) { const writer = dest.getWriter(); writer.write(chunk).then(() => writer.releaseLock()); } else { dest.write(chunk); } }); this.on("end", async () => { if (dest instanceof Node18UniversalStreamWrapper) { dest._end(); } else if (dest instanceof WritableStream) { const writer = dest.getWriter(); writer.close(); } else { dest.end(); } }); this.on("error", async (error) => { if (dest instanceof Node18UniversalStreamWrapper) { dest._error(error); } else if (dest instanceof WritableStream) { const writer = dest.getWriter(); writer.abort(error); } else { dest.destroy(error); } }); this._startReading(); return dest; } public pipeTo( dest: Node18UniversalStreamWrapper | Writable | WritableStream, ): Node18UniversalStreamWrapper | Writable | WritableStream { return this.pipe(dest); } public unpipe(dest: Node18UniversalStreamWrapper | Writable | WritableStream): void { this.off("data", async (chunk) => { if (dest instanceof Node18UniversalStreamWrapper) { dest._write(chunk); } else if (dest instanceof WritableStream) { const writer = dest.getWriter(); writer.write(chunk).then(() => writer.releaseLock()); } else { dest.write(chunk); } }); this.off("end", async () => { if (dest instanceof Node18UniversalStreamWrapper) { dest._end(); } else if (dest instanceof WritableStream) { const writer = dest.getWriter(); writer.close(); } else { dest.end(); } }); this.off("error", async (error) => { if (dest instanceof Node18UniversalStreamWrapper) { dest._error(error); } else if (dest instanceof WritableStream) { const writer = dest.getWriter(); writer.abort(error); } else { dest.destroy(error); } }); } public destroy(error?: Error): void { this.reader .cancel(error) .then(() => { this._emit("close"); }) .catch((err) => { this._emit("error", err); }); } public pause(): void { this.paused = true; this._emit("pause"); } public resume(): void { if (this.paused) { this.paused = false; this._emit("resume"); if (this.resumeCallback) { this.resumeCallback(); this.resumeCallback = null; } } } public get isPaused(): boolean { return this.paused; } public async read(): Promise { if (this.paused) { await new Promise((resolve) => { this.resumeCallback = resolve; }); } const { done, value } = await this.reader.read(); if (done) { return undefined; } return value; } public setEncoding(encoding: string): void { this.encoding = encoding; } public async text(): Promise { const chunks: ReadFormat[] = []; while (true) { const { done, value } = await this.reader.read(); if (done) { break; } if (value) { chunks.push(value); } } const decoder = new TextDecoder(this.encoding || "utf-8"); return decoder.decode(await new Blob(chunks).arrayBuffer()); } public async json(): Promise { const text = await this.text(); return JSON.parse(text); } private _write(chunk: ReadFormat): void { this._emit("data", chunk); } private _end(): void { this._emit("end"); } private _error(error: any): void { this._emit("error", error); } private _emit(event: string, data?: any): void { if (this.events[event]) { for (const callback of this.events[event] || []) { callback(data); } } } private async _startReading(): Promise { try { this._emit("readable"); while (true) { if (this.paused) { await new Promise((resolve) => { this.resumeCallback = resolve; }); } const { done, value } = await this.reader.read(); if (done) { this._emit("end"); this._emit("close"); break; } if (value) { this._emit("data", value); } } } catch (error) { this._emit("error", error); } } [Symbol.asyncIterator](): AsyncIterableIterator { return { next: async () => { if (this.paused) { await new Promise((resolve) => { this.resumeCallback = resolve; }); } const { done, value } = await this.reader.read(); if (done) { return { done: true, value: undefined }; } return { done: false, value }; }, [Symbol.asyncIterator]() { return this; }, }; } } humanloop-node-0.8.16/src/core/fetcher/stream-wrappers/NodePre18StreamWrapper.ts000066400000000000000000000061221476356526200276410ustar00rootroot00000000000000import type { Readable, Writable } from "readable-stream"; import { EventCallback, StreamWrapper } from "./chooseStreamWrapper"; export class NodePre18StreamWrapper implements StreamWrapper { private readableStream: Readable; private encoding: string | undefined; constructor(readableStream: Readable) { this.readableStream = readableStream; } public on(event: string, callback: EventCallback): void { this.readableStream.on(event, callback); } public off(event: string, callback: EventCallback): void { this.readableStream.off(event, callback); } public pipe(dest: Writable): Writable { this.readableStream.pipe(dest); return dest; } public pipeTo(dest: Writable): Writable { return this.pipe(dest); } public unpipe(dest?: Writable): void { if (dest) { this.readableStream.unpipe(dest); } else { this.readableStream.unpipe(); } } public destroy(error?: Error): void { this.readableStream.destroy(error); } public pause(): void { this.readableStream.pause(); } public resume(): void { this.readableStream.resume(); } public get isPaused(): boolean { return this.readableStream.isPaused(); } public async read(): Promise { return new Promise((resolve, reject) => { const chunk = this.readableStream.read(); if (chunk) { resolve(chunk); } else { this.readableStream.once("readable", () => { const chunk = this.readableStream.read(); resolve(chunk); }); this.readableStream.once("error", reject); } }); } public setEncoding(encoding?: string): void { this.readableStream.setEncoding(encoding as BufferEncoding); this.encoding = encoding; } public async text(): Promise { const chunks: Uint8Array[] = []; const encoder = new TextEncoder(); this.readableStream.setEncoding((this.encoding || "utf-8") as BufferEncoding); for await (const chunk of this.readableStream) { chunks.push(encoder.encode(chunk)); } const decoder = new TextDecoder(this.encoding || "utf-8"); return decoder.decode(Buffer.concat(chunks)); } public async json(): Promise { const text = await this.text(); return JSON.parse(text); } public [Symbol.asyncIterator](): AsyncIterableIterator { const readableStream = this.readableStream; const iterator = readableStream[Symbol.asyncIterator](); // Create and return an async iterator that yields buffers return { async next(): Promise> { const { value, done } = await iterator.next(); return { value: value as Buffer, done }; }, [Symbol.asyncIterator]() { return this; }, }; } } humanloop-node-0.8.16/src/core/fetcher/stream-wrappers/UndiciStreamWrapper.ts000066400000000000000000000155061476356526200273550ustar00rootroot00000000000000import { StreamWrapper } from "./chooseStreamWrapper"; type EventCallback = (data?: any) => void; export class UndiciStreamWrapper implements StreamWrapper | WritableStream, ReadFormat> { private readableStream: ReadableStream; private reader: ReadableStreamDefaultReader; private events: Record; private paused: boolean; private resumeCallback: ((value?: unknown) => void) | null; private encoding: string | null; constructor(readableStream: ReadableStream) { this.readableStream = readableStream; this.reader = this.readableStream.getReader(); this.events = { data: [], end: [], error: [], readable: [], close: [], pause: [], resume: [], }; this.paused = false; this.resumeCallback = null; this.encoding = null; } public on(event: string, callback: EventCallback): void { this.events[event]?.push(callback); } public off(event: string, callback: EventCallback): void { this.events[event] = this.events[event]?.filter((cb) => cb !== callback); } public pipe( dest: UndiciStreamWrapper | WritableStream, ): UndiciStreamWrapper | WritableStream { this.on("data", (chunk) => { if (dest instanceof UndiciStreamWrapper) { dest._write(chunk); } else { const writer = dest.getWriter(); writer.write(chunk).then(() => writer.releaseLock()); } }); this.on("end", () => { if (dest instanceof UndiciStreamWrapper) { dest._end(); } else { const writer = dest.getWriter(); writer.close(); } }); this.on("error", (error) => { if (dest instanceof UndiciStreamWrapper) { dest._error(error); } else { const writer = dest.getWriter(); writer.abort(error); } }); this._startReading(); return dest; } public pipeTo( dest: UndiciStreamWrapper | WritableStream, ): UndiciStreamWrapper | WritableStream { return this.pipe(dest); } public unpipe(dest: UndiciStreamWrapper | WritableStream): void { this.off("data", (chunk) => { if (dest instanceof UndiciStreamWrapper) { dest._write(chunk); } else { const writer = dest.getWriter(); writer.write(chunk).then(() => writer.releaseLock()); } }); this.off("end", () => { if (dest instanceof UndiciStreamWrapper) { dest._end(); } else { const writer = dest.getWriter(); writer.close(); } }); this.off("error", (error) => { if (dest instanceof UndiciStreamWrapper) { dest._error(error); } else { const writer = dest.getWriter(); writer.abort(error); } }); } public destroy(error?: Error): void { this.reader .cancel(error) .then(() => { this._emit("close"); }) .catch((err) => { this._emit("error", err); }); } public pause(): void { this.paused = true; this._emit("pause"); } public resume(): void { if (this.paused) { this.paused = false; this._emit("resume"); if (this.resumeCallback) { this.resumeCallback(); this.resumeCallback = null; } } } public get isPaused(): boolean { return this.paused; } public async read(): Promise { if (this.paused) { await new Promise((resolve) => { this.resumeCallback = resolve; }); } const { done, value } = await this.reader.read(); if (done) { return undefined; } return value; } public setEncoding(encoding: string): void { this.encoding = encoding; } public async text(): Promise { const chunks: BlobPart[] = []; while (true) { const { done, value } = await this.reader.read(); if (done) { break; } if (value) { chunks.push(value); } } const decoder = new TextDecoder(this.encoding || "utf-8"); return decoder.decode(await new Blob(chunks).arrayBuffer()); } public async json(): Promise { const text = await this.text(); return JSON.parse(text); } private _write(chunk: ReadFormat): void { this._emit("data", chunk); } private _end(): void { this._emit("end"); } private _error(error: any): void { this._emit("error", error); } private _emit(event: string, data?: any): void { if (this.events[event]) { for (const callback of this.events[event] || []) { callback(data); } } } private async _startReading(): Promise { try { this._emit("readable"); while (true) { if (this.paused) { await new Promise((resolve) => { this.resumeCallback = resolve; }); } const { done, value } = await this.reader.read(); if (done) { this._emit("end"); this._emit("close"); break; } if (value) { this._emit("data", value); } } } catch (error) { this._emit("error", error); } } [Symbol.asyncIterator](): AsyncIterableIterator { return { next: async () => { if (this.paused) { await new Promise((resolve) => { this.resumeCallback = resolve; }); } const { done, value } = await this.reader.read(); if (done) { return { done: true, value: undefined }; } return { done: false, value }; }, [Symbol.asyncIterator]() { return this; }, }; } } humanloop-node-0.8.16/src/core/fetcher/stream-wrappers/chooseStreamWrapper.ts000066400000000000000000000026411476356526200274160ustar00rootroot00000000000000import type { Readable } from "readable-stream"; import { RUNTIME } from "../../runtime"; export type EventCallback = (data?: any) => void; export interface StreamWrapper { setEncoding(encoding?: string): void; on(event: string, callback: EventCallback): void; off(event: string, callback: EventCallback): void; pipe(dest: WritableStream): WritableStream; pipeTo(dest: WritableStream): WritableStream; unpipe(dest?: WritableStream): void; destroy(error?: Error): void; pause(): void; resume(): void; get isPaused(): boolean; read(): Promise; text(): Promise; json(): Promise; [Symbol.asyncIterator](): AsyncIterableIterator; } export async function chooseStreamWrapper(responseBody: any): Promise>> { if (RUNTIME.type === "node" && RUNTIME.parsedVersion != null && RUNTIME.parsedVersion >= 18) { return new (await import("./Node18UniversalStreamWrapper")).Node18UniversalStreamWrapper( responseBody as ReadableStream, ); } else if (RUNTIME.type !== "node" && typeof fetch === "function") { return new (await import("./UndiciStreamWrapper")).UndiciStreamWrapper(responseBody as ReadableStream); } else { return new (await import("./NodePre18StreamWrapper")).NodePre18StreamWrapper(responseBody as Readable); } } humanloop-node-0.8.16/src/core/form-data-utils/000077500000000000000000000000001476356526200213025ustar00rootroot00000000000000humanloop-node-0.8.16/src/core/form-data-utils/FormDataWrapper.ts000066400000000000000000000116541476356526200247170ustar00rootroot00000000000000import { RUNTIME } from "../runtime"; export type MaybePromise = Promise | T; interface FormDataRequest { body: Body; headers: Record; duplex?: "half"; } function isNamedValue(value: unknown): value is { name: string } { return typeof value === "object" && value != null && "name" in value; } export interface CrossPlatformFormData { setup(): Promise; append(key: string, value: unknown): void; appendFile(key: string, value: unknown, fileName?: string): Promise; getRequest(): MaybePromise>; } export async function newFormData(): Promise { let formdata: CrossPlatformFormData; if (RUNTIME.type === "node" && RUNTIME.parsedVersion != null && RUNTIME.parsedVersion >= 18) { formdata = new Node18FormData(); } else if (RUNTIME.type === "node") { formdata = new Node16FormData(); } else { formdata = new WebFormData(); } await formdata.setup(); return formdata; } export type Node18FormDataFd = | { append(name: string, value: unknown, fileName?: string): void; } | undefined; /** * Form Data Implementation for Node.js 18+ */ export class Node18FormData implements CrossPlatformFormData { private fd: Node18FormDataFd; public async setup() { this.fd = new (await import("formdata-node")).FormData(); } public append(key: string, value: any): void { this.fd?.append(key, value); } public async appendFile(key: string, value: unknown, fileName?: string): Promise { if (fileName == null && isNamedValue(value)) { fileName = value.name; } if (value instanceof Blob) { this.fd?.append(key, value, fileName); } else { this.fd?.append(key, { type: undefined, name: fileName, [Symbol.toStringTag]: "File", stream() { return value; }, }); } } public async getRequest(): Promise> { const encoder = new (await import("form-data-encoder")).FormDataEncoder(this.fd as any); return { body: (await import("readable-stream")).Readable.from(encoder), headers: encoder.headers, duplex: "half", }; } } export type Node16FormDataFd = | { append( name: string, value: unknown, options?: | string | { header?: string | Headers; knownLength?: number; filename?: string; filepath?: string; contentType?: string; }, ): void; getHeaders(): Record; } | undefined; /** * Form Data Implementation for Node.js 16-18 */ export class Node16FormData implements CrossPlatformFormData { private fd: Node16FormDataFd; public async setup(): Promise { this.fd = new (await import("form-data")).default(); } public append(key: string, value: any): void { this.fd?.append(key, value); } public async appendFile(key: string, value: unknown, fileName?: string): Promise { if (fileName == null && isNamedValue(value)) { fileName = value.name; } let bufferedValue; if (value instanceof Blob) { bufferedValue = Buffer.from(await (value as any).arrayBuffer()); } else { bufferedValue = value; } if (fileName == null) { this.fd?.append(key, bufferedValue); } else { this.fd?.append(key, bufferedValue, { filename: fileName }); } } public getRequest(): FormDataRequest { return { body: this.fd, headers: this.fd ? this.fd.getHeaders() : {}, }; } } export type WebFormDataFd = { append(name: string, value: string | Blob, fileName?: string): void } | undefined; /** * Form Data Implementation for Web */ export class WebFormData implements CrossPlatformFormData { protected fd: WebFormDataFd; public async setup(): Promise { this.fd = new FormData(); } public append(key: string, value: any): void { this.fd?.append(key, value); } public async appendFile(key: string, value: any, fileName?: string): Promise { if (fileName == null && isNamedValue(value)) { fileName = value.name; } if (value instanceof Blob) { this.fd?.append(key, value, fileName); return; } this.fd?.append(key, new Blob([value]), fileName); } public getRequest(): FormDataRequest { return { body: this.fd, headers: {}, }; } } humanloop-node-0.8.16/src/core/form-data-utils/encodeAsFormParameter.ts000066400000000000000000000007271476356526200260660ustar00rootroot00000000000000import qs from "qs"; /** * Takes an unknown value, stringifies it using qs, and parses it into a key-value record */ export function encodeAsFormParameter(value: unknown): Record { const stringified = qs.stringify(value, { encode: false }); const keyValuePairs = stringified.split("&").map((pair) => { const [key, value] = pair.split("="); return [key, value] as const; }); return Object.fromEntries(keyValuePairs); } humanloop-node-0.8.16/src/core/form-data-utils/index.ts000066400000000000000000000001441476356526200227600ustar00rootroot00000000000000export { encodeAsFormParameter } from "./encodeAsFormParameter"; export * from "./FormDataWrapper"; humanloop-node-0.8.16/src/core/index.ts000066400000000000000000000003411476356526200177470ustar00rootroot00000000000000export * from "./fetcher"; export * from "./runtime"; export * from "./streaming-fetcher"; export * from "./utils"; export * from "./pagination"; export * from "./form-data-utils"; export * as serialization from "./schemas"; humanloop-node-0.8.16/src/core/json.ts000066400000000000000000000020701476356526200176120ustar00rootroot00000000000000/** * Serialize a value to JSON * @param value A JavaScript value, usually an object or array, to be converted. * @param replacer A function that transforms the results. * @param space Adds indentation, white space, and line break characters to the return-value JSON text to make it easier to read. * @returns JSON string */ export const toJson = ( value: unknown, replacer?: (this: unknown, key: string, value: unknown) => unknown, space?: string | number, ): string => { return JSON.stringify(value, replacer, space); }; /** * Parse JSON string to object, array, or other type * @param text A valid JSON string. * @param reviver A function that transforms the results. This function is called for each member of the object. If a member contains nested objects, the nested objects are transformed before the parent object is. * @returns Parsed object, array, or other type */ export function fromJson( text: string, reviver?: (this: unknown, key: string, value: unknown) => unknown, ): T { return JSON.parse(text, reviver); } humanloop-node-0.8.16/src/core/pagination/000077500000000000000000000000001476356526200204235ustar00rootroot00000000000000humanloop-node-0.8.16/src/core/pagination/Page.ts000066400000000000000000000033571476356526200216570ustar00rootroot00000000000000/** * A page of results from a paginated API. * * @template T The type of the items in the page. */ export class Page implements AsyncIterable { public data: T[]; private response: unknown; private _hasNextPage: (response: unknown) => boolean; private getItems: (response: unknown) => T[]; private loadNextPage: (response: unknown) => Promise; constructor({ response, hasNextPage, getItems, loadPage, }: { response: unknown; hasNextPage: (response: unknown) => boolean; getItems: (response: unknown) => T[]; loadPage: (response: unknown) => Promise; }) { this.response = response; this.data = getItems(response); this._hasNextPage = hasNextPage; this.getItems = getItems; this.loadNextPage = loadPage; } /** * Retrieves the next page * @returns this */ public async getNextPage(): Promise { this.response = await this.loadNextPage(this.response); this.data = this.getItems(this.response); return this; } /** * @returns whether there is a next page to load */ public hasNextPage(): boolean { return this._hasNextPage(this.response); } private async *iterMessages(): AsyncGenerator { for (const item of this.data) { yield item; } while (this.hasNextPage()) { await this.getNextPage(); for (const item of this.data) { yield item; } } } async *[Symbol.asyncIterator](): AsyncIterator { for await (const message of this.iterMessages()) { yield message; } } } humanloop-node-0.8.16/src/core/pagination/Pageable.ts000066400000000000000000000006621476356526200224770ustar00rootroot00000000000000import { Page } from "./Page"; export declare namespace Pageable { interface Args { response: Response; hasNextPage: (response: Response) => boolean; getItems: (response: Response) => Item[]; loadPage: (response: Response) => Promise; } } export class Pageable extends Page { constructor(args: Pageable.Args) { super(args as any); } } humanloop-node-0.8.16/src/core/pagination/index.ts000066400000000000000000000001061476356526200220770ustar00rootroot00000000000000export { Page } from "./Page"; export { Pageable } from "./Pageable"; humanloop-node-0.8.16/src/core/runtime/000077500000000000000000000000001476356526200177555ustar00rootroot00000000000000humanloop-node-0.8.16/src/core/runtime/index.ts000066400000000000000000000000451476356526200214330ustar00rootroot00000000000000export { RUNTIME } from "./runtime"; humanloop-node-0.8.16/src/core/runtime/runtime.ts000066400000000000000000000076561476356526200220260ustar00rootroot00000000000000interface DenoGlobal { version: { deno: string; }; } interface BunGlobal { version: string; } declare const Deno: DenoGlobal | undefined; declare const Bun: BunGlobal | undefined; declare const EdgeRuntime: string | undefined; /** * A constant that indicates which environment and version the SDK is running in. */ export const RUNTIME: Runtime = evaluateRuntime(); export interface Runtime { type: "browser" | "web-worker" | "deno" | "bun" | "node" | "react-native" | "unknown" | "workerd" | "edge-runtime"; version?: string; parsedVersion?: number; } function evaluateRuntime(): Runtime { /** * A constant that indicates whether the environment the code is running is a Web Browser. */ const isBrowser = typeof window !== "undefined" && typeof window.document !== "undefined"; if (isBrowser) { return { type: "browser", version: window.navigator.userAgent, }; } /** * A constant that indicates whether the environment the code is running is Cloudflare. * https://developers.cloudflare.com/workers/runtime-apis/web-standards/#navigatoruseragent */ const isCloudflare = typeof globalThis !== "undefined" && globalThis?.navigator?.userAgent === "Cloudflare-Workers"; if (isCloudflare) { return { type: "workerd", }; } /** * A constant that indicates whether the environment the code is running is Edge Runtime. * https://vercel.com/docs/functions/runtimes/edge-runtime#check-if-you're-running-on-the-edge-runtime */ const isEdgeRuntime = typeof EdgeRuntime === "string"; if (isEdgeRuntime) { return { type: "edge-runtime", }; } /** * A constant that indicates whether the environment the code is running is a Web Worker. */ const isWebWorker = typeof self === "object" && // @ts-ignore typeof self?.importScripts === "function" && (self.constructor?.name === "DedicatedWorkerGlobalScope" || self.constructor?.name === "ServiceWorkerGlobalScope" || self.constructor?.name === "SharedWorkerGlobalScope"); if (isWebWorker) { return { type: "web-worker", }; } /** * A constant that indicates whether the environment the code is running is Deno. * FYI Deno spoofs process.versions.node, see https://deno.land/std@0.177.0/node/process.ts?s=versions */ const isDeno = typeof Deno !== "undefined" && typeof Deno.version !== "undefined" && typeof Deno.version.deno !== "undefined"; if (isDeno) { return { type: "deno", version: Deno.version.deno, }; } /** * A constant that indicates whether the environment the code is running is Bun.sh. */ const isBun = typeof Bun !== "undefined" && typeof Bun.version !== "undefined"; if (isBun) { return { type: "bun", version: Bun.version, }; } /** * A constant that indicates whether the environment the code is running is Node.JS. */ const isNode = typeof process !== "undefined" && "version" in process && !!process.version && "versions" in process && !!process.versions?.node; if (isNode) { return { type: "node", version: process.versions.node, parsedVersion: Number(process.versions.node.split(".")[0]), }; } /** * A constant that indicates whether the environment the code is running is in React-Native. * https://github.com/facebook/react-native/blob/main/packages/react-native/Libraries/Core/setUpNavigator.js */ const isReactNative = typeof navigator !== "undefined" && navigator?.product === "ReactNative"; if (isReactNative) { return { type: "react-native", }; } return { type: "unknown", }; } humanloop-node-0.8.16/src/core/schemas/000077500000000000000000000000001476356526200177155ustar00rootroot00000000000000humanloop-node-0.8.16/src/core/schemas/Schema.ts000066400000000000000000000053301476356526200214660ustar00rootroot00000000000000import { SchemaUtils } from "./builders"; export type Schema = BaseSchema & SchemaUtils; export type inferRaw = S extends Schema ? Raw : never; export type inferParsed = S extends Schema ? Parsed : never; export interface BaseSchema { parse: (raw: unknown, opts?: SchemaOptions) => MaybeValid; json: (parsed: unknown, opts?: SchemaOptions) => MaybeValid; getType: () => SchemaType | SchemaType; } export const SchemaType = { BIGINT: "bigint", DATE: "date", ENUM: "enum", LIST: "list", STRING_LITERAL: "stringLiteral", BOOLEAN_LITERAL: "booleanLiteral", OBJECT: "object", ANY: "any", BOOLEAN: "boolean", NUMBER: "number", STRING: "string", UNKNOWN: "unknown", RECORD: "record", SET: "set", UNION: "union", UNDISCRIMINATED_UNION: "undiscriminatedUnion", NULLABLE: "nullable", OPTIONAL: "optional", OPTIONAL_NULLABLE: "optionalNullable", } as const; export type SchemaType = (typeof SchemaType)[keyof typeof SchemaType]; export type MaybeValid = Valid | Invalid; export interface Valid { ok: true; value: T; } export interface Invalid { ok: false; errors: ValidationError[]; } export interface ValidationError { path: string[]; message: string; } export interface SchemaOptions { /** * how to handle unrecognized keys in objects * * @default "fail" */ unrecognizedObjectKeys?: "fail" | "passthrough" | "strip"; /** * whether to fail when an unrecognized discriminant value is * encountered in a union * * @default false */ allowUnrecognizedUnionMembers?: boolean; /** * whether to fail when an unrecognized enum value is encountered * * @default false */ allowUnrecognizedEnumValues?: boolean; /** * whether to allow data that doesn't conform to the schema. * invalid data is passed through without transformation. * * when this is enabled, .parse() and .json() will always * return `ok: true`. `.parseOrThrow()` and `.jsonOrThrow()` * will never fail. * * @default false */ skipValidation?: boolean; /** * each validation failure contains a "path" property, which is * the breadcrumbs to the offending node in the JSON. you can supply * a prefix that is prepended to all the errors' paths. this can be * helpful for zurg's internal debug logging. */ breadcrumbsPrefix?: string[]; /** * whether to send 'null' for optional properties explicitly set to 'undefined'. */ omitUndefined?: boolean; } humanloop-node-0.8.16/src/core/schemas/builders/000077500000000000000000000000001476356526200215265ustar00rootroot00000000000000humanloop-node-0.8.16/src/core/schemas/builders/bigint/000077500000000000000000000000001476356526200230025ustar00rootroot00000000000000humanloop-node-0.8.16/src/core/schemas/builders/bigint/bigint.ts000066400000000000000000000034101476356526200246240ustar00rootroot00000000000000import { BaseSchema, Schema, SchemaType } from "../../Schema"; import { getErrorMessageForIncorrectType } from "../../utils/getErrorMessageForIncorrectType"; import { maybeSkipValidation } from "../../utils/maybeSkipValidation"; import { getSchemaUtils } from "../schema-utils"; export function bigint(): Schema { const baseSchema: BaseSchema = { parse: (raw, { breadcrumbsPrefix = [] } = {}) => { if (typeof raw === "bigint") { return { ok: true, value: raw, }; } if (typeof raw === "number") { return { ok: true, value: BigInt(raw), }; } return { ok: false, errors: [ { path: breadcrumbsPrefix, message: getErrorMessageForIncorrectType(raw, "bigint | number"), }, ], }; }, json: (bigint, { breadcrumbsPrefix = [] } = {}) => { if (typeof bigint !== "bigint") { return { ok: false, errors: [ { path: breadcrumbsPrefix, message: getErrorMessageForIncorrectType(bigint, "bigint"), }, ], }; } return { ok: true, value: bigint, }; }, getType: () => SchemaType.BIGINT, }; return { ...maybeSkipValidation(baseSchema), ...getSchemaUtils(baseSchema), }; } humanloop-node-0.8.16/src/core/schemas/builders/bigint/index.ts000066400000000000000000000000431476356526200244560ustar00rootroot00000000000000export { bigint } from "./bigint"; humanloop-node-0.8.16/src/core/schemas/builders/date/000077500000000000000000000000001476356526200224435ustar00rootroot00000000000000humanloop-node-0.8.16/src/core/schemas/builders/date/date.ts000066400000000000000000000046271476356526200237410ustar00rootroot00000000000000import { BaseSchema, Schema, SchemaType } from "../../Schema"; import { getErrorMessageForIncorrectType } from "../../utils/getErrorMessageForIncorrectType"; import { maybeSkipValidation } from "../../utils/maybeSkipValidation"; import { getSchemaUtils } from "../schema-utils"; // https://stackoverflow.com/questions/12756159/regex-and-iso8601-formatted-datetime const ISO_8601_REGEX = /^([+-]?\d{4}(?!\d{2}\b))((-?)((0[1-9]|1[0-2])(\3([12]\d|0[1-9]|3[01]))?|W([0-4]\d|5[0-2])(-?[1-7])?|(00[1-9]|0[1-9]\d|[12]\d{2}|3([0-5]\d|6[1-6])))([T\s]((([01]\d|2[0-3])((:?)[0-5]\d)?|24:?00)([.,]\d+(?!:))?)?(\17[0-5]\d([.,]\d+)?)?([zZ]|([+-])([01]\d|2[0-3]):?([0-5]\d)?)?)?)?$/; export function date(): Schema { const baseSchema: BaseSchema = { parse: (raw, { breadcrumbsPrefix = [] } = {}) => { if (typeof raw !== "string") { return { ok: false, errors: [ { path: breadcrumbsPrefix, message: getErrorMessageForIncorrectType(raw, "string"), }, ], }; } if (!ISO_8601_REGEX.test(raw)) { return { ok: false, errors: [ { path: breadcrumbsPrefix, message: getErrorMessageForIncorrectType(raw, "ISO 8601 date string"), }, ], }; } return { ok: true, value: new Date(raw), }; }, json: (date, { breadcrumbsPrefix = [] } = {}) => { if (date instanceof Date) { return { ok: true, value: date.toISOString(), }; } else { return { ok: false, errors: [ { path: breadcrumbsPrefix, message: getErrorMessageForIncorrectType(date, "Date object"), }, ], }; } }, getType: () => SchemaType.DATE, }; return { ...maybeSkipValidation(baseSchema), ...getSchemaUtils(baseSchema), }; } humanloop-node-0.8.16/src/core/schemas/builders/date/index.ts000066400000000000000000000000371476356526200241220ustar00rootroot00000000000000export { date } from "./date"; humanloop-node-0.8.16/src/core/schemas/builders/enum/000077500000000000000000000000001476356526200224725ustar00rootroot00000000000000humanloop-node-0.8.16/src/core/schemas/builders/enum/enum.ts000066400000000000000000000027111476356526200240070ustar00rootroot00000000000000import { Schema, SchemaType } from "../../Schema"; import { createIdentitySchemaCreator } from "../../utils/createIdentitySchemaCreator"; import { getErrorMessageForIncorrectType } from "../../utils/getErrorMessageForIncorrectType"; export function enum_(values: E): Schema { const validValues = new Set(values); const schemaCreator = createIdentitySchemaCreator( SchemaType.ENUM, (value, { allowUnrecognizedEnumValues, breadcrumbsPrefix = [] } = {}) => { if (typeof value !== "string") { return { ok: false, errors: [ { path: breadcrumbsPrefix, message: getErrorMessageForIncorrectType(value, "string"), }, ], }; } if (!validValues.has(value) && !allowUnrecognizedEnumValues) { return { ok: false, errors: [ { path: breadcrumbsPrefix, message: getErrorMessageForIncorrectType(value, "enum"), }, ], }; } return { ok: true, value: value as U, }; }, ); return schemaCreator(); } humanloop-node-0.8.16/src/core/schemas/builders/enum/index.ts000066400000000000000000000000401476356526200241430ustar00rootroot00000000000000export { enum_ } from "./enum"; humanloop-node-0.8.16/src/core/schemas/builders/index.ts000066400000000000000000000006001476356526200232010ustar00rootroot00000000000000export * from "./bigint"; export * from "./date"; export * from "./enum"; export * from "./lazy"; export * from "./list"; export * from "./literals"; export * from "./object"; export * from "./object-like"; export * from "./primitives"; export * from "./record"; export * from "./schema-utils"; export * from "./set"; export * from "./undiscriminated-union"; export * from "./union"; humanloop-node-0.8.16/src/core/schemas/builders/lazy/000077500000000000000000000000001476356526200225055ustar00rootroot00000000000000humanloop-node-0.8.16/src/core/schemas/builders/lazy/index.ts000066400000000000000000000001661476356526200241670ustar00rootroot00000000000000export { lazy } from "./lazy"; export type { SchemaGetter } from "./lazy"; export { lazyObject } from "./lazyObject"; humanloop-node-0.8.16/src/core/schemas/builders/lazy/lazy.ts000066400000000000000000000023301476356526200240320ustar00rootroot00000000000000import { BaseSchema, Schema } from "../../Schema"; import { getSchemaUtils } from "../schema-utils"; export type SchemaGetter> = () => SchemaType; export function lazy(getter: SchemaGetter>): Schema { const baseSchema = constructLazyBaseSchema(getter); return { ...baseSchema, ...getSchemaUtils(baseSchema), }; } export function constructLazyBaseSchema( getter: SchemaGetter>, ): BaseSchema { return { parse: (raw, opts) => getMemoizedSchema(getter).parse(raw, opts), json: (parsed, opts) => getMemoizedSchema(getter).json(parsed, opts), getType: () => getMemoizedSchema(getter).getType(), }; } type MemoizedGetter> = SchemaGetter & { __zurg_memoized?: SchemaType }; export function getMemoizedSchema>(getter: SchemaGetter): SchemaType { const castedGetter = getter as MemoizedGetter; if (castedGetter.__zurg_memoized == null) { castedGetter.__zurg_memoized = getter(); } return castedGetter.__zurg_memoized; } humanloop-node-0.8.16/src/core/schemas/builders/lazy/lazyObject.ts000066400000000000000000000015271476356526200251700ustar00rootroot00000000000000import { getObjectUtils } from "../object"; import { getObjectLikeUtils } from "../object-like"; import { BaseObjectSchema, ObjectSchema } from "../object/types"; import { getSchemaUtils } from "../schema-utils"; import { SchemaGetter, constructLazyBaseSchema, getMemoizedSchema } from "./lazy"; export function lazyObject(getter: SchemaGetter>): ObjectSchema { const baseSchema: BaseObjectSchema = { ...constructLazyBaseSchema(getter), _getRawProperties: () => getMemoizedSchema(getter)._getRawProperties(), _getParsedProperties: () => getMemoizedSchema(getter)._getParsedProperties(), }; return { ...baseSchema, ...getSchemaUtils(baseSchema), ...getObjectLikeUtils(baseSchema), ...getObjectUtils(baseSchema), }; } humanloop-node-0.8.16/src/core/schemas/builders/list/000077500000000000000000000000001476356526200225015ustar00rootroot00000000000000humanloop-node-0.8.16/src/core/schemas/builders/list/index.ts000066400000000000000000000000371476356526200241600ustar00rootroot00000000000000export { list } from "./list"; humanloop-node-0.8.16/src/core/schemas/builders/list/list.ts000066400000000000000000000044221476356526200240260ustar00rootroot00000000000000import { BaseSchema, MaybeValid, Schema, SchemaType, ValidationError } from "../../Schema"; import { getErrorMessageForIncorrectType } from "../../utils/getErrorMessageForIncorrectType"; import { maybeSkipValidation } from "../../utils/maybeSkipValidation"; import { getSchemaUtils } from "../schema-utils"; export function list(schema: Schema): Schema { const baseSchema: BaseSchema = { parse: (raw, opts) => validateAndTransformArray(raw, (item, index) => schema.parse(item, { ...opts, breadcrumbsPrefix: [...(opts?.breadcrumbsPrefix ?? []), `[${index}]`], }), ), json: (parsed, opts) => validateAndTransformArray(parsed, (item, index) => schema.json(item, { ...opts, breadcrumbsPrefix: [...(opts?.breadcrumbsPrefix ?? []), `[${index}]`], }), ), getType: () => SchemaType.LIST, }; return { ...maybeSkipValidation(baseSchema), ...getSchemaUtils(baseSchema), }; } function validateAndTransformArray( value: unknown, transformItem: (item: Raw, index: number) => MaybeValid, ): MaybeValid { if (!Array.isArray(value)) { return { ok: false, errors: [ { message: getErrorMessageForIncorrectType(value, "list"), path: [], }, ], }; } const maybeValidItems = value.map((item, index) => transformItem(item, index)); return maybeValidItems.reduce>( (acc, item) => { if (acc.ok && item.ok) { return { ok: true, value: [...acc.value, item.value], }; } const errors: ValidationError[] = []; if (!acc.ok) { errors.push(...acc.errors); } if (!item.ok) { errors.push(...item.errors); } return { ok: false, errors, }; }, { ok: true, value: [] }, ); } humanloop-node-0.8.16/src/core/schemas/builders/literals/000077500000000000000000000000001476356526200233455ustar00rootroot00000000000000humanloop-node-0.8.16/src/core/schemas/builders/literals/booleanLiteral.ts000066400000000000000000000020001476356526200266410ustar00rootroot00000000000000import { Schema, SchemaType } from "../../Schema"; import { createIdentitySchemaCreator } from "../../utils/createIdentitySchemaCreator"; import { getErrorMessageForIncorrectType } from "../../utils/getErrorMessageForIncorrectType"; export function booleanLiteral(literal: V): Schema { const schemaCreator = createIdentitySchemaCreator( SchemaType.BOOLEAN_LITERAL, (value, { breadcrumbsPrefix = [] } = {}) => { if (value === literal) { return { ok: true, value: literal, }; } else { return { ok: false, errors: [ { path: breadcrumbsPrefix, message: getErrorMessageForIncorrectType(value, `${literal.toString()}`), }, ], }; } }, ); return schemaCreator(); } humanloop-node-0.8.16/src/core/schemas/builders/literals/index.ts000066400000000000000000000001441476356526200250230ustar00rootroot00000000000000export { stringLiteral } from "./stringLiteral"; export { booleanLiteral } from "./booleanLiteral"; humanloop-node-0.8.16/src/core/schemas/builders/literals/stringLiteral.ts000066400000000000000000000017641476356526200265500ustar00rootroot00000000000000import { Schema, SchemaType } from "../../Schema"; import { createIdentitySchemaCreator } from "../../utils/createIdentitySchemaCreator"; import { getErrorMessageForIncorrectType } from "../../utils/getErrorMessageForIncorrectType"; export function stringLiteral(literal: V): Schema { const schemaCreator = createIdentitySchemaCreator( SchemaType.STRING_LITERAL, (value, { breadcrumbsPrefix = [] } = {}) => { if (value === literal) { return { ok: true, value: literal, }; } else { return { ok: false, errors: [ { path: breadcrumbsPrefix, message: getErrorMessageForIncorrectType(value, `"${literal}"`), }, ], }; } }, ); return schemaCreator(); } humanloop-node-0.8.16/src/core/schemas/builders/object-like/000077500000000000000000000000001476356526200237165ustar00rootroot00000000000000humanloop-node-0.8.16/src/core/schemas/builders/object-like/getObjectLikeUtils.ts000066400000000000000000000055261476356526200300320ustar00rootroot00000000000000import { BaseSchema } from "../../Schema"; import { filterObject } from "../../utils/filterObject"; import { getErrorMessageForIncorrectType } from "../../utils/getErrorMessageForIncorrectType"; import { isPlainObject } from "../../utils/isPlainObject"; import { getSchemaUtils } from "../schema-utils"; import { ObjectLikeSchema, ObjectLikeUtils } from "./types"; export function getObjectLikeUtils(schema: BaseSchema): ObjectLikeUtils { return { withParsedProperties: (properties) => withParsedProperties(schema, properties), }; } /** * object-like utils are defined in one file to resolve issues with circular imports */ export function withParsedProperties( objectLike: BaseSchema, properties: { [K in keyof Properties]: Properties[K] | ((parsed: ParsedObjectShape) => Properties[K]) }, ): ObjectLikeSchema { const objectSchema: BaseSchema = { parse: (raw, opts) => { const parsedObject = objectLike.parse(raw, opts); if (!parsedObject.ok) { return parsedObject; } const additionalProperties = Object.entries(properties).reduce>( (processed, [key, value]) => { return { ...processed, [key]: typeof value === "function" ? value(parsedObject.value) : value, }; }, {}, ); return { ok: true, value: { ...parsedObject.value, ...(additionalProperties as Properties), }, }; }, json: (parsed, opts) => { if (!isPlainObject(parsed)) { return { ok: false, errors: [ { path: opts?.breadcrumbsPrefix ?? [], message: getErrorMessageForIncorrectType(parsed, "object"), }, ], }; } // strip out added properties const addedPropertyKeys = new Set(Object.keys(properties)); const parsedWithoutAddedProperties = filterObject( parsed, Object.keys(parsed).filter((key) => !addedPropertyKeys.has(key)), ); return objectLike.json(parsedWithoutAddedProperties as ParsedObjectShape, opts); }, getType: () => objectLike.getType(), }; return { ...objectSchema, ...getSchemaUtils(objectSchema), ...getObjectLikeUtils(objectSchema), }; } humanloop-node-0.8.16/src/core/schemas/builders/object-like/index.ts000066400000000000000000000002231476356526200253720ustar00rootroot00000000000000export { getObjectLikeUtils, withParsedProperties } from "./getObjectLikeUtils"; export type { ObjectLikeSchema, ObjectLikeUtils } from "./types"; humanloop-node-0.8.16/src/core/schemas/builders/object-like/types.ts000066400000000000000000000006311476356526200254320ustar00rootroot00000000000000import { BaseSchema, Schema } from "../../Schema"; export type ObjectLikeSchema = Schema & BaseSchema & ObjectLikeUtils; export interface ObjectLikeUtils { withParsedProperties: >(properties: { [K in keyof T]: T[K] | ((parsed: Parsed) => T[K]); }) => ObjectLikeSchema; } humanloop-node-0.8.16/src/core/schemas/builders/object/000077500000000000000000000000001476356526200227745ustar00rootroot00000000000000humanloop-node-0.8.16/src/core/schemas/builders/object/index.ts000066400000000000000000000014071476356526200244550ustar00rootroot00000000000000export { getObjectUtils, object } from "./object"; export { objectWithoutOptionalProperties } from "./objectWithoutOptionalProperties"; export type { inferObjectWithoutOptionalPropertiesSchemaFromPropertySchemas, inferParsedObjectWithoutOptionalPropertiesFromPropertySchemas, } from "./objectWithoutOptionalProperties"; export { isProperty, property } from "./property"; export type { Property } from "./property"; export type { BaseObjectSchema, inferObjectSchemaFromPropertySchemas, inferParsedObject, inferParsedObjectFromPropertySchemas, inferParsedPropertySchema, inferRawKey, inferRawObject, inferRawObjectFromPropertySchemas, inferRawPropertySchema, ObjectSchema, ObjectUtils, PropertySchemas, } from "./types"; humanloop-node-0.8.16/src/core/schemas/builders/object/object.ts000066400000000000000000000334761476356526200246270ustar00rootroot00000000000000import { MaybeValid, Schema, SchemaType, ValidationError } from "../../Schema"; import { entries } from "../../utils/entries"; import { filterObject } from "../../utils/filterObject"; import { getErrorMessageForIncorrectType } from "../../utils/getErrorMessageForIncorrectType"; import { isPlainObject } from "../../utils/isPlainObject"; import { keys } from "../../utils/keys"; import { maybeSkipValidation } from "../../utils/maybeSkipValidation"; import { partition } from "../../utils/partition"; import { getObjectLikeUtils } from "../object-like"; import { getSchemaUtils } from "../schema-utils"; import { isProperty } from "./property"; import { BaseObjectSchema, ObjectSchema, ObjectUtils, PropertySchemas, inferObjectSchemaFromPropertySchemas, inferParsedObjectFromPropertySchemas, inferRawObjectFromPropertySchemas, } from "./types"; interface ObjectPropertyWithRawKey { rawKey: string; parsedKey: string; valueSchema: Schema; } export function object>( schemas: T, ): inferObjectSchemaFromPropertySchemas { const baseSchema: BaseObjectSchema< inferRawObjectFromPropertySchemas, inferParsedObjectFromPropertySchemas > = { _getRawProperties: () => Object.entries(schemas).map(([parsedKey, propertySchema]) => isProperty(propertySchema) ? propertySchema.rawKey : parsedKey, ) as unknown as (keyof inferRawObjectFromPropertySchemas)[], _getParsedProperties: () => keys(schemas) as unknown as (keyof inferParsedObjectFromPropertySchemas)[], parse: (raw, opts) => { const rawKeyToProperty: Record = {}; const requiredKeys: string[] = []; for (const [parsedKey, schemaOrObjectProperty] of entries(schemas)) { const rawKey = isProperty(schemaOrObjectProperty) ? schemaOrObjectProperty.rawKey : parsedKey; const valueSchema: Schema = isProperty(schemaOrObjectProperty) ? schemaOrObjectProperty.valueSchema : schemaOrObjectProperty; const property: ObjectPropertyWithRawKey = { rawKey, parsedKey: parsedKey as string, valueSchema, }; rawKeyToProperty[rawKey] = property; if (isSchemaRequired(valueSchema)) { requiredKeys.push(rawKey); } } return validateAndTransformObject({ value: raw, requiredKeys, getProperty: (rawKey) => { const property = rawKeyToProperty[rawKey]; if (property == null) { return undefined; } return { transformedKey: property.parsedKey, transform: (propertyValue) => property.valueSchema.parse(propertyValue, { ...opts, breadcrumbsPrefix: [...(opts?.breadcrumbsPrefix ?? []), rawKey], }), }; }, unrecognizedObjectKeys: opts?.unrecognizedObjectKeys, skipValidation: opts?.skipValidation, breadcrumbsPrefix: opts?.breadcrumbsPrefix, omitUndefined: opts?.omitUndefined, }); }, json: (parsed, opts) => { const requiredKeys: string[] = []; for (const [parsedKey, schemaOrObjectProperty] of entries(schemas)) { const valueSchema: Schema = isProperty(schemaOrObjectProperty) ? schemaOrObjectProperty.valueSchema : schemaOrObjectProperty; if (isSchemaRequired(valueSchema)) { requiredKeys.push(parsedKey as string); } } return validateAndTransformObject({ value: parsed, requiredKeys, getProperty: ( parsedKey, ): { transformedKey: string; transform: (propertyValue: object) => MaybeValid } | undefined => { const property = schemas[parsedKey as keyof T]; // eslint-disable-next-line @typescript-eslint/no-unnecessary-condition if (property == null) { return undefined; } if (isProperty(property)) { return { transformedKey: property.rawKey, transform: (propertyValue) => property.valueSchema.json(propertyValue, { ...opts, breadcrumbsPrefix: [...(opts?.breadcrumbsPrefix ?? []), parsedKey], }), }; } else { return { transformedKey: parsedKey, transform: (propertyValue) => property.json(propertyValue, { ...opts, breadcrumbsPrefix: [...(opts?.breadcrumbsPrefix ?? []), parsedKey], }), }; } }, unrecognizedObjectKeys: opts?.unrecognizedObjectKeys, skipValidation: opts?.skipValidation, breadcrumbsPrefix: opts?.breadcrumbsPrefix, omitUndefined: opts?.omitUndefined, }); }, getType: () => SchemaType.OBJECT, }; return { ...maybeSkipValidation(baseSchema), ...getSchemaUtils(baseSchema), ...getObjectLikeUtils(baseSchema), ...getObjectUtils(baseSchema), }; } function validateAndTransformObject({ value, requiredKeys, getProperty, unrecognizedObjectKeys = "fail", skipValidation = false, breadcrumbsPrefix = [], }: { value: unknown; requiredKeys: string[]; getProperty: ( preTransformedKey: string, ) => { transformedKey: string; transform: (propertyValue: object) => MaybeValid } | undefined; unrecognizedObjectKeys: "fail" | "passthrough" | "strip" | undefined; skipValidation: boolean | undefined; breadcrumbsPrefix: string[] | undefined; omitUndefined: boolean | undefined; }): MaybeValid { if (!isPlainObject(value)) { return { ok: false, errors: [ { path: breadcrumbsPrefix, message: getErrorMessageForIncorrectType(value, "object"), }, ], }; } const missingRequiredKeys = new Set(requiredKeys); const errors: ValidationError[] = []; const transformed: Record = {}; for (const [preTransformedKey, preTransformedItemValue] of Object.entries(value)) { const property = getProperty(preTransformedKey); if (property != null) { missingRequiredKeys.delete(preTransformedKey); const value = property.transform(preTransformedItemValue as object); if (value.ok) { transformed[property.transformedKey] = value.value; } else { transformed[preTransformedKey] = preTransformedItemValue; errors.push(...value.errors); } } else { switch (unrecognizedObjectKeys) { case "fail": errors.push({ path: [...breadcrumbsPrefix, preTransformedKey], message: `Unexpected key "${preTransformedKey}"`, }); break; case "strip": break; case "passthrough": transformed[preTransformedKey] = preTransformedItemValue; break; } } } errors.push( ...requiredKeys .filter((key) => missingRequiredKeys.has(key)) .map((key) => ({ path: breadcrumbsPrefix, message: `Missing required key "${key}"`, })), ); if (errors.length === 0 || skipValidation) { return { ok: true, value: transformed as Transformed, }; } else { return { ok: false, errors, }; } } export function getObjectUtils(schema: BaseObjectSchema): ObjectUtils { return { extend: (extension: ObjectSchema) => { const baseSchema: BaseObjectSchema = { _getParsedProperties: () => [...schema._getParsedProperties(), ...extension._getParsedProperties()], _getRawProperties: () => [...schema._getRawProperties(), ...extension._getRawProperties()], parse: (raw, opts) => { return validateAndTransformExtendedObject({ extensionKeys: extension._getRawProperties(), value: raw as object, transformBase: (rawBase) => schema.parse(rawBase, opts), transformExtension: (rawExtension) => extension.parse(rawExtension, opts), }); }, json: (parsed, opts) => { return validateAndTransformExtendedObject({ extensionKeys: extension._getParsedProperties(), value: parsed as object, transformBase: (parsedBase) => schema.json(parsedBase, opts), transformExtension: (parsedExtension) => extension.json(parsedExtension, opts), }); }, getType: () => SchemaType.OBJECT, }; return { ...baseSchema, ...getSchemaUtils(baseSchema), ...getObjectLikeUtils(baseSchema), ...getObjectUtils(baseSchema), }; }, passthrough: () => { const baseSchema: BaseObjectSchema = { _getParsedProperties: () => schema._getParsedProperties(), _getRawProperties: () => schema._getRawProperties(), parse: (raw, opts) => { const transformed = schema.parse(raw, { ...opts, unrecognizedObjectKeys: "passthrough" }); if (!transformed.ok) { return transformed; } return { ok: true, value: { ...(raw as any), ...transformed.value, }, }; }, json: (parsed, opts) => { const transformed = schema.json(parsed, { ...opts, unrecognizedObjectKeys: "passthrough" }); if (!transformed.ok) { return transformed; } return { ok: true, value: { ...(parsed as any), ...transformed.value, }, }; }, getType: () => SchemaType.OBJECT, }; return { ...baseSchema, ...getSchemaUtils(baseSchema), ...getObjectLikeUtils(baseSchema), ...getObjectUtils(baseSchema), }; }, }; } function validateAndTransformExtendedObject({ extensionKeys, value, transformBase, transformExtension, }: { extensionKeys: (keyof PreTransformedExtension)[]; value: object; transformBase: (value: object) => MaybeValid; transformExtension: (value: object) => MaybeValid; }): MaybeValid { const extensionPropertiesSet = new Set(extensionKeys); const [extensionProperties, baseProperties] = partition(keys(value), (key) => extensionPropertiesSet.has(key as keyof PreTransformedExtension), ); const transformedBase = transformBase(filterObject(value, baseProperties)); const transformedExtension = transformExtension(filterObject(value, extensionProperties)); if (transformedBase.ok && transformedExtension.ok) { return { ok: true, value: { ...transformedBase.value, ...transformedExtension.value, }, }; } else { return { ok: false, errors: [ ...(transformedBase.ok ? [] : transformedBase.errors), ...(transformedExtension.ok ? [] : transformedExtension.errors), ], }; } } function isSchemaRequired(schema: Schema): boolean { return !isSchemaOptional(schema); } function isSchemaOptional(schema: Schema): boolean { switch (schema.getType()) { case SchemaType.ANY: case SchemaType.UNKNOWN: case SchemaType.OPTIONAL: case SchemaType.OPTIONAL_NULLABLE: return true; default: return false; } } humanloop-node-0.8.16/src/core/schemas/builders/object/objectWithoutOptionalProperties.ts000066400000000000000000000015751476356526200317710ustar00rootroot00000000000000import { object } from "./object"; import { ObjectSchema, PropertySchemas, inferParsedPropertySchema, inferRawObjectFromPropertySchemas } from "./types"; export function objectWithoutOptionalProperties>( schemas: T, ): inferObjectWithoutOptionalPropertiesSchemaFromPropertySchemas { return object(schemas) as unknown as inferObjectWithoutOptionalPropertiesSchemaFromPropertySchemas; } export type inferObjectWithoutOptionalPropertiesSchemaFromPropertySchemas> = ObjectSchema< inferRawObjectFromPropertySchemas, inferParsedObjectWithoutOptionalPropertiesFromPropertySchemas >; export type inferParsedObjectWithoutOptionalPropertiesFromPropertySchemas> = { [K in keyof T]: inferParsedPropertySchema; }; humanloop-node-0.8.16/src/core/schemas/builders/object/property.ts000066400000000000000000000013041476356526200252260ustar00rootroot00000000000000import { Schema } from "../../Schema"; export function property( rawKey: RawKey, valueSchema: Schema, ): Property { return { rawKey, valueSchema, isProperty: true, }; } export interface Property { rawKey: RawKey; valueSchema: Schema; isProperty: true; } export function isProperty>(maybeProperty: unknown): maybeProperty is O { // eslint-disable-next-line @typescript-eslint/no-unnecessary-condition return (maybeProperty as O).isProperty; } humanloop-node-0.8.16/src/core/schemas/builders/object/types.ts000066400000000000000000000050741476356526200245160ustar00rootroot00000000000000import { BaseSchema, Schema, inferParsed, inferRaw } from "../../Schema"; import { addQuestionMarksToNullableProperties } from "../../utils/addQuestionMarksToNullableProperties"; import { ObjectLikeUtils } from "../object-like"; import { SchemaUtils } from "../schema-utils"; import { Property } from "./property"; export type ObjectSchema = BaseObjectSchema & ObjectLikeUtils & ObjectUtils & SchemaUtils; export interface BaseObjectSchema extends BaseSchema { _getRawProperties: () => (keyof Raw)[]; _getParsedProperties: () => (keyof Parsed)[]; } export interface ObjectUtils { extend: ( schemas: ObjectSchema, ) => ObjectSchema; passthrough: () => ObjectSchema; } export type inferRawObject> = O extends ObjectSchema ? Raw : never; export type inferParsedObject> = O extends ObjectSchema ? Parsed : never; export type inferObjectSchemaFromPropertySchemas> = ObjectSchema< inferRawObjectFromPropertySchemas, inferParsedObjectFromPropertySchemas >; export type inferRawObjectFromPropertySchemas> = addQuestionMarksToNullableProperties<{ [ParsedKey in keyof T as inferRawKey]: inferRawPropertySchema; }>; export type inferParsedObjectFromPropertySchemas> = addQuestionMarksToNullableProperties<{ [K in keyof T]: inferParsedPropertySchema; }>; export type PropertySchemas = Record< ParsedKeys, Property | Schema >; export type inferRawPropertySchema

| Schema> = P extends Property ? Raw : P extends Schema ? inferRaw

: never; export type inferParsedPropertySchema

| Schema> = P extends Property ? Parsed : P extends Schema ? inferParsed

: never; export type inferRawKey< ParsedKey extends string | number | symbol, P extends Property | Schema, > = P extends Property ? Raw : ParsedKey; humanloop-node-0.8.16/src/core/schemas/builders/primitives/000077500000000000000000000000001476356526200237215ustar00rootroot00000000000000humanloop-node-0.8.16/src/core/schemas/builders/primitives/any.ts000066400000000000000000000003521476356526200250600ustar00rootroot00000000000000import { SchemaType } from "../../Schema"; import { createIdentitySchemaCreator } from "../../utils/createIdentitySchemaCreator"; export const any = createIdentitySchemaCreator(SchemaType.ANY, (value) => ({ ok: true, value })); humanloop-node-0.8.16/src/core/schemas/builders/primitives/boolean.ts000066400000000000000000000014531476356526200257130ustar00rootroot00000000000000import { SchemaType } from "../../Schema"; import { createIdentitySchemaCreator } from "../../utils/createIdentitySchemaCreator"; import { getErrorMessageForIncorrectType } from "../../utils/getErrorMessageForIncorrectType"; export const boolean = createIdentitySchemaCreator( SchemaType.BOOLEAN, (value, { breadcrumbsPrefix = [] } = {}) => { if (typeof value === "boolean") { return { ok: true, value, }; } else { return { ok: false, errors: [ { path: breadcrumbsPrefix, message: getErrorMessageForIncorrectType(value, "boolean"), }, ], }; } }, ); humanloop-node-0.8.16/src/core/schemas/builders/primitives/index.ts000066400000000000000000000002551476356526200254020ustar00rootroot00000000000000export { any } from "./any"; export { boolean } from "./boolean"; export { number } from "./number"; export { string } from "./string"; export { unknown } from "./unknown"; humanloop-node-0.8.16/src/core/schemas/builders/primitives/number.ts000066400000000000000000000014461476356526200255660ustar00rootroot00000000000000import { SchemaType } from "../../Schema"; import { createIdentitySchemaCreator } from "../../utils/createIdentitySchemaCreator"; import { getErrorMessageForIncorrectType } from "../../utils/getErrorMessageForIncorrectType"; export const number = createIdentitySchemaCreator( SchemaType.NUMBER, (value, { breadcrumbsPrefix = [] } = {}) => { if (typeof value === "number") { return { ok: true, value, }; } else { return { ok: false, errors: [ { path: breadcrumbsPrefix, message: getErrorMessageForIncorrectType(value, "number"), }, ], }; } }, ); humanloop-node-0.8.16/src/core/schemas/builders/primitives/string.ts000066400000000000000000000014461476356526200256040ustar00rootroot00000000000000import { SchemaType } from "../../Schema"; import { createIdentitySchemaCreator } from "../../utils/createIdentitySchemaCreator"; import { getErrorMessageForIncorrectType } from "../../utils/getErrorMessageForIncorrectType"; export const string = createIdentitySchemaCreator( SchemaType.STRING, (value, { breadcrumbsPrefix = [] } = {}) => { if (typeof value === "string") { return { ok: true, value, }; } else { return { ok: false, errors: [ { path: breadcrumbsPrefix, message: getErrorMessageForIncorrectType(value, "string"), }, ], }; } }, ); humanloop-node-0.8.16/src/core/schemas/builders/primitives/unknown.ts000066400000000000000000000003661476356526200257750ustar00rootroot00000000000000import { SchemaType } from "../../Schema"; import { createIdentitySchemaCreator } from "../../utils/createIdentitySchemaCreator"; export const unknown = createIdentitySchemaCreator(SchemaType.UNKNOWN, (value) => ({ ok: true, value })); humanloop-node-0.8.16/src/core/schemas/builders/record/000077500000000000000000000000001476356526200230045ustar00rootroot00000000000000humanloop-node-0.8.16/src/core/schemas/builders/record/index.ts000066400000000000000000000001421476356526200244600ustar00rootroot00000000000000export { record } from "./record"; export type { BaseRecordSchema, RecordSchema } from "./types"; humanloop-node-0.8.16/src/core/schemas/builders/record/record.ts000066400000000000000000000112511476356526200246320ustar00rootroot00000000000000import { MaybeValid, Schema, SchemaType, ValidationError } from "../../Schema"; import { entries } from "../../utils/entries"; import { getErrorMessageForIncorrectType } from "../../utils/getErrorMessageForIncorrectType"; import { isPlainObject } from "../../utils/isPlainObject"; import { maybeSkipValidation } from "../../utils/maybeSkipValidation"; import { getSchemaUtils } from "../schema-utils"; import { BaseRecordSchema, RecordSchema } from "./types"; export function record( keySchema: Schema, valueSchema: Schema, ): RecordSchema { const baseSchema: BaseRecordSchema = { parse: (raw, opts) => { return validateAndTransformRecord({ value: raw, isKeyNumeric: keySchema.getType() === SchemaType.NUMBER, transformKey: (key) => keySchema.parse(key, { ...opts, breadcrumbsPrefix: [...(opts?.breadcrumbsPrefix ?? []), `${key} (key)`], }), transformValue: (value, key) => valueSchema.parse(value, { ...opts, breadcrumbsPrefix: [...(opts?.breadcrumbsPrefix ?? []), `${key}`], }), breadcrumbsPrefix: opts?.breadcrumbsPrefix, }); }, json: (parsed, opts) => { return validateAndTransformRecord({ value: parsed, isKeyNumeric: keySchema.getType() === SchemaType.NUMBER, transformKey: (key) => keySchema.json(key, { ...opts, breadcrumbsPrefix: [...(opts?.breadcrumbsPrefix ?? []), `${key} (key)`], }), transformValue: (value, key) => valueSchema.json(value, { ...opts, breadcrumbsPrefix: [...(opts?.breadcrumbsPrefix ?? []), `${key}`], }), breadcrumbsPrefix: opts?.breadcrumbsPrefix, }); }, getType: () => SchemaType.RECORD, }; return { ...maybeSkipValidation(baseSchema), ...getSchemaUtils(baseSchema), }; } function validateAndTransformRecord({ value, isKeyNumeric, transformKey, transformValue, breadcrumbsPrefix = [], }: { value: unknown; isKeyNumeric: boolean; transformKey: (key: string | number) => MaybeValid; transformValue: (value: unknown, key: string | number) => MaybeValid; breadcrumbsPrefix: string[] | undefined; }): MaybeValid> { if (!isPlainObject(value)) { return { ok: false, errors: [ { path: breadcrumbsPrefix, message: getErrorMessageForIncorrectType(value, "object"), }, ], }; } return entries(value).reduce>>( (accPromise, [stringKey, value]) => { if (value === undefined) { return accPromise; } const acc = accPromise; let key: string | number = stringKey; if (isKeyNumeric) { const numberKey = stringKey.length > 0 ? Number(stringKey) : NaN; if (!isNaN(numberKey)) { key = numberKey; } } const transformedKey = transformKey(key); const transformedValue = transformValue(value, key); if (acc.ok && transformedKey.ok && transformedValue.ok) { return { ok: true, value: { ...acc.value, [transformedKey.value]: transformedValue.value, }, }; } const errors: ValidationError[] = []; if (!acc.ok) { errors.push(...acc.errors); } if (!transformedKey.ok) { errors.push(...transformedKey.errors); } if (!transformedValue.ok) { errors.push(...transformedValue.errors); } return { ok: false, errors, }; }, { ok: true, value: {} as Record }, ); } humanloop-node-0.8.16/src/core/schemas/builders/record/types.ts000066400000000000000000000010761476356526200245240ustar00rootroot00000000000000import { BaseSchema } from "../../Schema"; import { SchemaUtils } from "../schema-utils"; export type RecordSchema< RawKey extends string | number, RawValue, ParsedKey extends string | number, ParsedValue, > = BaseRecordSchema & SchemaUtils, Record>; export type BaseRecordSchema< RawKey extends string | number, RawValue, ParsedKey extends string | number, ParsedValue, > = BaseSchema, Record>; humanloop-node-0.8.16/src/core/schemas/builders/schema-utils/000077500000000000000000000000001476356526200241245ustar00rootroot00000000000000humanloop-node-0.8.16/src/core/schemas/builders/schema-utils/JsonError.ts000066400000000000000000000005371476356526200264240ustar00rootroot00000000000000import { ValidationError } from "../../Schema"; import { stringifyValidationError } from "./stringifyValidationErrors"; export class JsonError extends Error { constructor(public readonly errors: ValidationError[]) { super(errors.map(stringifyValidationError).join("; ")); Object.setPrototypeOf(this, JsonError.prototype); } } humanloop-node-0.8.16/src/core/schemas/builders/schema-utils/ParseError.ts000066400000000000000000000005411476356526200265600ustar00rootroot00000000000000import { ValidationError } from "../../Schema"; import { stringifyValidationError } from "./stringifyValidationErrors"; export class ParseError extends Error { constructor(public readonly errors: ValidationError[]) { super(errors.map(stringifyValidationError).join("; ")); Object.setPrototypeOf(this, ParseError.prototype); } } humanloop-node-0.8.16/src/core/schemas/builders/schema-utils/getSchemaUtils.ts000066400000000000000000000126411476356526200274210ustar00rootroot00000000000000import { BaseSchema, Schema, SchemaOptions, SchemaType } from "../../Schema"; import { JsonError } from "./JsonError"; import { ParseError } from "./ParseError"; export interface SchemaUtils { nullable: () => Schema; optional: () => Schema; optionalNullable: () => Schema; transform: (transformer: SchemaTransformer) => Schema; parseOrThrow: (raw: unknown, opts?: SchemaOptions) => Parsed; jsonOrThrow: (raw: unknown, opts?: SchemaOptions) => Raw; } export interface SchemaTransformer { transform: (parsed: Parsed) => Transformed; untransform: (transformed: any) => Parsed; } export function getSchemaUtils(schema: BaseSchema): SchemaUtils { return { nullable: () => nullable(schema), optional: () => optional(schema), optionalNullable: () => optionalNullable(schema), transform: (transformer) => transform(schema, transformer), parseOrThrow: (raw, opts) => { const parsed = schema.parse(raw, opts); if (parsed.ok) { return parsed.value; } throw new ParseError(parsed.errors); }, jsonOrThrow: (parsed, opts) => { const raw = schema.json(parsed, opts); if (raw.ok) { return raw.value; } throw new JsonError(raw.errors); }, }; } /** * schema utils are defined in one file to resolve issues with circular imports */ export function nullable(schema: BaseSchema): Schema { const baseSchema: BaseSchema = { parse: (raw, opts) => { if (raw == null) { return { ok: true, value: null, }; } return schema.parse(raw, opts); }, json: (parsed, opts) => { if (parsed == null) { return { ok: true, value: null, }; } return schema.json(parsed, opts); }, getType: () => SchemaType.NULLABLE, }; return { ...baseSchema, ...getSchemaUtils(baseSchema), }; } export function optional( schema: BaseSchema, ): Schema { const baseSchema: BaseSchema = { parse: (raw, opts) => { if (raw == null) { return { ok: true, value: undefined, }; } return schema.parse(raw, opts); }, json: (parsed, opts) => { if (opts?.omitUndefined && parsed === undefined) { return { ok: true, value: undefined, }; } if (parsed == null) { return { ok: true, value: null, }; } return schema.json(parsed, opts); }, getType: () => SchemaType.OPTIONAL, }; return { ...baseSchema, ...getSchemaUtils(baseSchema), }; } export function optionalNullable( schema: BaseSchema, ): Schema { const baseSchema: BaseSchema = { parse: (raw, opts) => { if (raw === undefined) { return { ok: true, value: undefined, }; } if (raw === null) { return { ok: true, value: null, }; } return schema.parse(raw, opts); }, json: (parsed, opts) => { if (parsed === undefined) { return { ok: true, value: undefined, }; } if (parsed === null) { return { ok: true, value: null, }; } return schema.json(parsed, opts); }, getType: () => SchemaType.OPTIONAL_NULLABLE, }; return { ...baseSchema, ...getSchemaUtils(baseSchema), }; } export function transform( schema: BaseSchema, transformer: SchemaTransformer, ): Schema { const baseSchema: BaseSchema = { parse: (raw, opts) => { const parsed = schema.parse(raw, opts); if (!parsed.ok) { return parsed; } return { ok: true, value: transformer.transform(parsed.value), }; }, json: (transformed, opts) => { const parsed = transformer.untransform(transformed); return schema.json(parsed, opts); }, getType: () => schema.getType(), }; return { ...baseSchema, ...getSchemaUtils(baseSchema), }; } humanloop-node-0.8.16/src/core/schemas/builders/schema-utils/index.ts000066400000000000000000000003211476356526200255770ustar00rootroot00000000000000export { getSchemaUtils, optional, transform } from "./getSchemaUtils"; export type { SchemaUtils } from "./getSchemaUtils"; export { JsonError } from "./JsonError"; export { ParseError } from "./ParseError"; humanloop-node-0.8.16/src/core/schemas/builders/schema-utils/stringifyValidationErrors.ts000066400000000000000000000004001476356526200317140ustar00rootroot00000000000000import { ValidationError } from "../../Schema"; export function stringifyValidationError(error: ValidationError): string { if (error.path.length === 0) { return error.message; } return `${error.path.join(" -> ")}: ${error.message}`; } humanloop-node-0.8.16/src/core/schemas/builders/set/000077500000000000000000000000001476356526200223215ustar00rootroot00000000000000humanloop-node-0.8.16/src/core/schemas/builders/set/index.ts000066400000000000000000000000351476356526200237760ustar00rootroot00000000000000export { set } from "./set"; humanloop-node-0.8.16/src/core/schemas/builders/set/set.ts000066400000000000000000000027501476356526200234700ustar00rootroot00000000000000import { BaseSchema, Schema, SchemaType } from "../../Schema"; import { getErrorMessageForIncorrectType } from "../../utils/getErrorMessageForIncorrectType"; import { maybeSkipValidation } from "../../utils/maybeSkipValidation"; import { list } from "../list"; import { getSchemaUtils } from "../schema-utils"; export function set(schema: Schema): Schema> { const listSchema = list(schema); const baseSchema: BaseSchema> = { parse: (raw, opts) => { const parsedList = listSchema.parse(raw, opts); if (parsedList.ok) { return { ok: true, value: new Set(parsedList.value), }; } else { return parsedList; } }, json: (parsed, opts) => { if (!(parsed instanceof Set)) { return { ok: false, errors: [ { path: opts?.breadcrumbsPrefix ?? [], message: getErrorMessageForIncorrectType(parsed, "Set"), }, ], }; } const jsonList = listSchema.json([...parsed], opts); return jsonList; }, getType: () => SchemaType.SET, }; return { ...maybeSkipValidation(baseSchema), ...getSchemaUtils(baseSchema), }; } humanloop-node-0.8.16/src/core/schemas/builders/undiscriminated-union/000077500000000000000000000000001476356526200260365ustar00rootroot00000000000000humanloop-node-0.8.16/src/core/schemas/builders/undiscriminated-union/index.ts000066400000000000000000000003241476356526200275140ustar00rootroot00000000000000export type { inferParsedUnidiscriminatedUnionSchema, inferRawUnidiscriminatedUnionSchema, UndiscriminatedUnionSchema, } from "./types"; export { undiscriminatedUnion } from "./undiscriminatedUnion"; humanloop-node-0.8.16/src/core/schemas/builders/undiscriminated-union/types.ts000066400000000000000000000007301476356526200275520ustar00rootroot00000000000000import { Schema, inferParsed, inferRaw } from "../../Schema"; export type UndiscriminatedUnionSchema = Schema< inferRawUnidiscriminatedUnionSchema, inferParsedUnidiscriminatedUnionSchema >; export type inferRawUnidiscriminatedUnionSchema = inferRaw; export type inferParsedUnidiscriminatedUnionSchema = inferParsed; humanloop-node-0.8.16/src/core/schemas/builders/undiscriminated-union/undiscriminatedUnion.ts000066400000000000000000000043031476356526200326010ustar00rootroot00000000000000import { BaseSchema, MaybeValid, Schema, SchemaOptions, SchemaType, ValidationError } from "../../Schema"; import { maybeSkipValidation } from "../../utils/maybeSkipValidation"; import { getSchemaUtils } from "../schema-utils"; import { inferParsedUnidiscriminatedUnionSchema, inferRawUnidiscriminatedUnionSchema } from "./types"; export function undiscriminatedUnion, ...Schema[]]>( schemas: Schemas, ): Schema, inferParsedUnidiscriminatedUnionSchema> { const baseSchema: BaseSchema< inferRawUnidiscriminatedUnionSchema, inferParsedUnidiscriminatedUnionSchema > = { parse: (raw, opts) => { return validateAndTransformUndiscriminatedUnion>( (schema, opts) => schema.parse(raw, opts), schemas, opts, ); }, json: (parsed, opts) => { return validateAndTransformUndiscriminatedUnion>( (schema, opts) => schema.json(parsed, opts), schemas, opts, ); }, getType: () => SchemaType.UNDISCRIMINATED_UNION, }; return { ...maybeSkipValidation(baseSchema), ...getSchemaUtils(baseSchema), }; } function validateAndTransformUndiscriminatedUnion( transform: (schema: Schema, opts: SchemaOptions) => MaybeValid, schemas: Schema[], opts: SchemaOptions | undefined, ): MaybeValid { const errors: ValidationError[] = []; for (const [index, schema] of schemas.entries()) { const transformed = transform(schema, { ...opts, skipValidation: false }); if (transformed.ok) { return transformed; } else { for (const error of transformed.errors) { errors.push({ path: error.path, message: `[Variant ${index}] ${error.message}`, }); } } } return { ok: false, errors, }; } humanloop-node-0.8.16/src/core/schemas/builders/union/000077500000000000000000000000001476356526200226565ustar00rootroot00000000000000humanloop-node-0.8.16/src/core/schemas/builders/union/discriminant.ts000066400000000000000000000007551476356526200257210ustar00rootroot00000000000000export function discriminant( parsedDiscriminant: ParsedDiscriminant, rawDiscriminant: RawDiscriminant, ): Discriminant { return { parsedDiscriminant, rawDiscriminant, }; } export interface Discriminant { parsedDiscriminant: ParsedDiscriminant; rawDiscriminant: RawDiscriminant; } humanloop-node-0.8.16/src/core/schemas/builders/union/index.ts000066400000000000000000000004271476356526200243400ustar00rootroot00000000000000export { discriminant } from "./discriminant"; export type { Discriminant } from "./discriminant"; export type { inferParsedDiscriminant, inferParsedUnion, inferRawDiscriminant, inferRawUnion, UnionSubtypes, } from "./types"; export { union } from "./union"; humanloop-node-0.8.16/src/core/schemas/builders/union/types.ts000066400000000000000000000020121476356526200243650ustar00rootroot00000000000000import { ObjectSchema, inferParsedObject, inferRawObject } from "../object"; import { Discriminant } from "./discriminant"; export type UnionSubtypes = { [K in DiscriminantValues]: ObjectSchema; }; export type inferRawUnion, U extends UnionSubtypes> = { [K in keyof U]: Record, K> & inferRawObject; }[keyof U]; export type inferParsedUnion, U extends UnionSubtypes> = { [K in keyof U]: Record, K> & inferParsedObject; }[keyof U]; export type inferRawDiscriminant> = D extends string ? D : D extends Discriminant ? Raw : never; export type inferParsedDiscriminant> = D extends string ? D : D extends Discriminant ? Parsed : never; humanloop-node-0.8.16/src/core/schemas/builders/union/union.ts000066400000000000000000000155431476356526200243660ustar00rootroot00000000000000import { BaseSchema, MaybeValid, SchemaType } from "../../Schema"; import { getErrorMessageForIncorrectType } from "../../utils/getErrorMessageForIncorrectType"; import { isPlainObject } from "../../utils/isPlainObject"; import { keys } from "../../utils/keys"; import { maybeSkipValidation } from "../../utils/maybeSkipValidation"; import { enum_ } from "../enum"; import { ObjectSchema } from "../object"; import { ObjectLikeSchema, getObjectLikeUtils } from "../object-like"; import { getSchemaUtils } from "../schema-utils"; import { Discriminant } from "./discriminant"; import { UnionSubtypes, inferParsedDiscriminant, inferParsedUnion, inferRawDiscriminant, inferRawUnion } from "./types"; export function union, U extends UnionSubtypes>( discriminant: D, union: U, ): ObjectLikeSchema, inferParsedUnion> { const rawDiscriminant = typeof discriminant === "string" ? discriminant : (discriminant.rawDiscriminant as inferRawDiscriminant); const parsedDiscriminant = typeof discriminant === "string" ? discriminant : (discriminant.parsedDiscriminant as inferParsedDiscriminant); const discriminantValueSchema = enum_(keys(union) as string[]); const baseSchema: BaseSchema, inferParsedUnion> = { parse: (raw, opts) => { return transformAndValidateUnion({ value: raw, discriminant: rawDiscriminant, transformedDiscriminant: parsedDiscriminant, transformDiscriminantValue: (discriminantValue) => discriminantValueSchema.parse(discriminantValue, { allowUnrecognizedEnumValues: opts?.allowUnrecognizedUnionMembers, breadcrumbsPrefix: [...(opts?.breadcrumbsPrefix ?? []), rawDiscriminant], }), getAdditionalPropertiesSchema: (discriminantValue) => union[discriminantValue], allowUnrecognizedUnionMembers: opts?.allowUnrecognizedUnionMembers, transformAdditionalProperties: (additionalProperties, additionalPropertiesSchema) => additionalPropertiesSchema.parse(additionalProperties, opts), breadcrumbsPrefix: opts?.breadcrumbsPrefix, }); }, json: (parsed, opts) => { return transformAndValidateUnion({ value: parsed, discriminant: parsedDiscriminant, transformedDiscriminant: rawDiscriminant, transformDiscriminantValue: (discriminantValue) => discriminantValueSchema.json(discriminantValue, { allowUnrecognizedEnumValues: opts?.allowUnrecognizedUnionMembers, breadcrumbsPrefix: [...(opts?.breadcrumbsPrefix ?? []), parsedDiscriminant], }), getAdditionalPropertiesSchema: (discriminantValue) => union[discriminantValue], allowUnrecognizedUnionMembers: opts?.allowUnrecognizedUnionMembers, transformAdditionalProperties: (additionalProperties, additionalPropertiesSchema) => additionalPropertiesSchema.json(additionalProperties, opts), breadcrumbsPrefix: opts?.breadcrumbsPrefix, }); }, getType: () => SchemaType.UNION, }; return { ...maybeSkipValidation(baseSchema), ...getSchemaUtils(baseSchema), ...getObjectLikeUtils(baseSchema), }; } function transformAndValidateUnion< TransformedDiscriminant extends string, TransformedDiscriminantValue extends string, TransformedAdditionalProperties, >({ value, discriminant, transformedDiscriminant, transformDiscriminantValue, getAdditionalPropertiesSchema, allowUnrecognizedUnionMembers = false, transformAdditionalProperties, breadcrumbsPrefix = [], }: { value: unknown; discriminant: string; transformedDiscriminant: TransformedDiscriminant; transformDiscriminantValue: (discriminantValue: unknown) => MaybeValid; getAdditionalPropertiesSchema: (discriminantValue: string) => ObjectSchema | undefined; allowUnrecognizedUnionMembers: boolean | undefined; transformAdditionalProperties: ( additionalProperties: unknown, additionalPropertiesSchema: ObjectSchema, ) => MaybeValid; breadcrumbsPrefix: string[] | undefined; }): MaybeValid & TransformedAdditionalProperties> { if (!isPlainObject(value)) { return { ok: false, errors: [ { path: breadcrumbsPrefix, message: getErrorMessageForIncorrectType(value, "object"), }, ], }; } const { [discriminant]: discriminantValue, ...additionalProperties } = value; if (discriminantValue == null) { return { ok: false, errors: [ { path: breadcrumbsPrefix, message: `Missing discriminant ("${discriminant}")`, }, ], }; } const transformedDiscriminantValue = transformDiscriminantValue(discriminantValue); if (!transformedDiscriminantValue.ok) { return { ok: false, errors: transformedDiscriminantValue.errors, }; } const additionalPropertiesSchema = getAdditionalPropertiesSchema(transformedDiscriminantValue.value); if (additionalPropertiesSchema == null) { if (allowUnrecognizedUnionMembers) { return { ok: true, value: { [transformedDiscriminant]: transformedDiscriminantValue.value, ...additionalProperties, } as Record & TransformedAdditionalProperties, }; } else { return { ok: false, errors: [ { path: [...breadcrumbsPrefix, discriminant], message: "Unexpected discriminant value", }, ], }; } } const transformedAdditionalProperties = transformAdditionalProperties( additionalProperties, additionalPropertiesSchema, ); if (!transformedAdditionalProperties.ok) { return transformedAdditionalProperties; } return { ok: true, value: { [transformedDiscriminant]: discriminantValue, ...transformedAdditionalProperties.value, } as Record & TransformedAdditionalProperties, }; } humanloop-node-0.8.16/src/core/schemas/index.ts000066400000000000000000000001521476356526200213720ustar00rootroot00000000000000export * from "./builders"; export type { inferParsed, inferRaw, Schema, SchemaOptions } from "./Schema"; humanloop-node-0.8.16/src/core/schemas/utils/000077500000000000000000000000001476356526200210555ustar00rootroot00000000000000humanloop-node-0.8.16/src/core/schemas/utils/MaybePromise.ts000066400000000000000000000000561476356526200240220ustar00rootroot00000000000000export type MaybePromise = T | Promise; humanloop-node-0.8.16/src/core/schemas/utils/addQuestionMarksToNullableProperties.ts000066400000000000000000000004421476356526200307420ustar00rootroot00000000000000export type addQuestionMarksToNullableProperties = { [K in OptionalKeys]?: T[K]; } & Pick>; export type OptionalKeys = { [K in keyof T]-?: undefined extends T[K] ? K : never; }[keyof T]; export type RequiredKeys = Exclude>; humanloop-node-0.8.16/src/core/schemas/utils/createIdentitySchemaCreator.ts000066400000000000000000000012511476356526200270420ustar00rootroot00000000000000import { BaseSchema, MaybeValid, Schema, SchemaOptions, SchemaType } from "../Schema"; import { getSchemaUtils } from "../builders/schema-utils"; import { maybeSkipValidation } from "./maybeSkipValidation"; export function createIdentitySchemaCreator( schemaType: SchemaType, validate: (value: unknown, opts?: SchemaOptions) => MaybeValid, ): () => Schema { return () => { const baseSchema: BaseSchema = { parse: validate, json: validate, getType: () => schemaType, }; return { ...maybeSkipValidation(baseSchema), ...getSchemaUtils(baseSchema), }; }; } humanloop-node-0.8.16/src/core/schemas/utils/entries.ts000066400000000000000000000002201476356526200230700ustar00rootroot00000000000000export function entries(object: T): [keyof T, T[keyof T]][] { return Object.entries(object) as [keyof T, T[keyof T]][]; } humanloop-node-0.8.16/src/core/schemas/utils/filterObject.ts000066400000000000000000000007661476356526200240520ustar00rootroot00000000000000export function filterObject(obj: T, keysToInclude: K[]): Pick { const keysToIncludeSet = new Set(keysToInclude); return Object.entries(obj).reduce( (acc, [key, value]) => { if (keysToIncludeSet.has(key as K)) { acc[key as K] = value as T[K]; } return acc; // eslint-disable-next-line @typescript-eslint/prefer-reduce-type-parameter }, {} as Pick, ); } humanloop-node-0.8.16/src/core/schemas/utils/getErrorMessageForIncorrectType.ts000066400000000000000000000012141476356526200277030ustar00rootroot00000000000000export function getErrorMessageForIncorrectType(value: unknown, expectedType: string): string { return `Expected ${expectedType}. Received ${getTypeAsString(value)}.`; } function getTypeAsString(value: unknown): string { if (Array.isArray(value)) { return "list"; } if (value === null) { return "null"; } if (value instanceof BigInt) { return "BigInt"; } switch (typeof value) { case "string": return `"${value}"`; case "bigint": case "number": case "boolean": case "undefined": return `${value}`; } return typeof value; } humanloop-node-0.8.16/src/core/schemas/utils/isPlainObject.ts000066400000000000000000000007671476356526200241650ustar00rootroot00000000000000// borrowed from https://github.com/lodash/lodash/blob/master/isPlainObject.js export function isPlainObject(value: unknown): value is Record { if (typeof value !== "object" || value === null) { return false; } if (Object.getPrototypeOf(value) === null) { return true; } let proto = value; while (Object.getPrototypeOf(proto) !== null) { proto = Object.getPrototypeOf(proto); } return Object.getPrototypeOf(value) === proto; } humanloop-node-0.8.16/src/core/schemas/utils/keys.ts000066400000000000000000000001621476356526200223770ustar00rootroot00000000000000export function keys(object: T): (keyof T)[] { return Object.keys(object) as (keyof T)[]; } humanloop-node-0.8.16/src/core/schemas/utils/maybeSkipValidation.ts000066400000000000000000000024451476356526200253710ustar00rootroot00000000000000import { BaseSchema, MaybeValid, SchemaOptions } from "../Schema"; export function maybeSkipValidation, Raw, Parsed>(schema: S): S { return { ...schema, json: transformAndMaybeSkipValidation(schema.json), parse: transformAndMaybeSkipValidation(schema.parse), }; } function transformAndMaybeSkipValidation( transform: (value: unknown, opts?: SchemaOptions) => MaybeValid, ): (value: unknown, opts?: SchemaOptions) => MaybeValid { return (value, opts): MaybeValid => { const transformed = transform(value, opts); const { skipValidation = false } = opts ?? {}; if (!transformed.ok && skipValidation) { // eslint-disable-next-line no-console console.warn( [ "Failed to validate.", ...transformed.errors.map( (error) => " - " + (error.path.length > 0 ? `${error.path.join(".")}: ${error.message}` : error.message), ), ].join("\n"), ); return { ok: true, value: value as T, }; } else { return transformed; } }; } humanloop-node-0.8.16/src/core/schemas/utils/partition.ts000066400000000000000000000005511476356526200234370ustar00rootroot00000000000000export function partition(items: readonly T[], predicate: (item: T) => boolean): [T[], T[]] { const trueItems: T[] = [], falseItems: T[] = []; for (const item of items) { if (predicate(item)) { trueItems.push(item); } else { falseItems.push(item); } } return [trueItems, falseItems]; } humanloop-node-0.8.16/src/core/streaming-fetcher/000077500000000000000000000000001476356526200217015ustar00rootroot00000000000000humanloop-node-0.8.16/src/core/streaming-fetcher/Stream.ts000066400000000000000000000111731476356526200235070ustar00rootroot00000000000000import { Readable } from "stream"; import { RUNTIME } from "../runtime"; export declare namespace Stream { interface Args { /** * The HTTP response stream to read from. */ stream: Readable | ReadableStream; /** * The event shape to use for parsing the stream data. */ eventShape: JsonEvent | SseEvent; /** * An abort signal to stop the stream. */ signal?: AbortSignal; } interface JsonEvent { type: "json"; messageTerminator: string; } interface SseEvent { type: "sse"; streamTerminator?: string; } } const DATA_PREFIX = "data:"; export class Stream implements AsyncIterable { private stream: Readable | ReadableStream; private parse: (val: unknown) => Promise; /** * The prefix to use for each message. For example, * for SSE, the prefix is "data: ". */ private prefix: string | undefined; private messageTerminator: string; private streamTerminator: string | undefined; private controller: AbortController = new AbortController(); constructor({ stream, parse, eventShape, signal }: Stream.Args & { parse: (val: unknown) => Promise }) { this.stream = stream; this.parse = parse; if (eventShape.type === "sse") { this.prefix = DATA_PREFIX; this.messageTerminator = "\n"; this.streamTerminator = eventShape.streamTerminator; } else { this.messageTerminator = eventShape.messageTerminator; } signal?.addEventListener("abort", () => this.controller.abort()); } private async *iterMessages(): AsyncGenerator { this.controller.signal; const stream = readableStreamAsyncIterable(this.stream); let buf = ""; let prefixSeen = false; for await (const chunk of stream) { buf += this.decodeChunk(chunk); let terminatorIndex: number; while ((terminatorIndex = buf.indexOf(this.messageTerminator)) >= 0) { let line = buf.slice(0, terminatorIndex + 1); buf = buf.slice(terminatorIndex + this.messageTerminator.length); if (!line.trim()) { continue; } if (!prefixSeen && this.prefix != null) { const prefixIndex = line.indexOf(this.prefix); if (prefixIndex === -1) { continue; } prefixSeen = true; line = line.slice(prefixIndex + this.prefix.length); } if (this.streamTerminator != null && line.includes(this.streamTerminator)) { return; } const message = await this.parse(JSON.parse(line)); yield message; prefixSeen = false; } } } async *[Symbol.asyncIterator](): AsyncIterator { for await (const message of this.iterMessages()) { yield message; } } private decodeChunk(chunk: any): string { let decoded = ""; // If TextDecoder is present, use it if (typeof TextDecoder !== "undefined") { const decoder = new TextDecoder("utf8"); decoded += decoder.decode(chunk); } // Buffer is present in Node.js environment else if (RUNTIME.type === "node" && typeof chunk !== "undefined") { decoded += Buffer.isBuffer(chunk) ? chunk : Buffer.from(chunk); } return decoded; } } /** * Browser polyfill for ReadableStream */ // eslint-disable-next-line @typescript-eslint/no-explicit-any export function readableStreamAsyncIterable(stream: any): AsyncIterableIterator { if (stream[Symbol.asyncIterator]) { return stream; } const reader = stream.getReader(); return { async next() { try { const result = await reader.read(); if (result?.done) { reader.releaseLock(); } // release lock when stream becomes closed return result; } catch (e) { reader.releaseLock(); // release lock when stream becomes errored throw e; } }, async return() { const cancelPromise = reader.cancel(); reader.releaseLock(); await cancelPromise; return { done: true, value: undefined }; }, [Symbol.asyncIterator]() { return this; }, }; } humanloop-node-0.8.16/src/core/streaming-fetcher/index.ts000066400000000000000000000000431476356526200233550ustar00rootroot00000000000000export { Stream } from "./Stream"; humanloop-node-0.8.16/src/core/utils/000077500000000000000000000000001476356526200174325ustar00rootroot00000000000000humanloop-node-0.8.16/src/core/utils/index.ts000066400000000000000000000000711476356526200211070ustar00rootroot00000000000000export { setObjectProperty } from "./setObjectProperty"; humanloop-node-0.8.16/src/core/utils/setObjectProperty.ts000066400000000000000000000023401476356526200234700ustar00rootroot00000000000000/** * Sets the value at path of object. If a portion of path doesn’t exist it’s created. This is * inspired by Lodash's set function, but is simplified to accommodate our use case. * For more details, see https://lodash.com/docs/4.17.15#set. * * @param object The object to modify. * @param path The path of the property to set. * @param value The value to set. * @return Returns object. */ export function setObjectProperty(object: T, path: string, value: any): T { if (object == null) { return object; } const keys: string[] = path.split("."); if (keys.length === 0) { // Invalid path; do nothing. return object; } let current: Record = object; for (let i = 0; i < keys.length - 1; i++) { const key = keys[i]; if (key == null) { // Unreachable. continue; } if (!current[key] || typeof current[key] !== "object") { current[key] = {}; } current = current[key] as Record; } const lastKey = keys[keys.length - 1]; if (lastKey == null) { // Unreachable. return object; } current[lastKey] = value; return object; } humanloop-node-0.8.16/src/decorators/000077500000000000000000000000001476356526200175075ustar00rootroot00000000000000humanloop-node-0.8.16/src/decorators/flow.ts000066400000000000000000000136501476356526200210330ustar00rootroot00000000000000import * as contextApi from "@opentelemetry/api"; import { ReadableSpan, Tracer } from "@opentelemetry/sdk-trace-node"; import { HumanloopClient } from "../Client"; import { ChatMessage, FlowLogRequest, FlowLogResponse } from "../api"; import { getTraceId, setDecoratorContext, setTraceId } from "../context"; import { jsonifyIfNotString, writeToOpenTelemetrySpan } from "../otel"; import { HUMANLOOP_FILE_TYPE_KEY, HUMANLOOP_FLOW_SPAN_NAME, HUMANLOOP_LOG_KEY, HUMANLOOP_PATH_KEY, } from "../otel/constants"; export function flowUtilityFactory( client: HumanloopClient, opentelemetryTracer: Tracer, callable: ( args: I extends Record & { messages?: ChatMessage[]; } ? I : never, ) => O, path: string, attributes?: Record, ): (args: I) => Promise & { file: { type: string; version: { attributes?: Record }; callable: (args: I) => Promise; }; } { const flowKernel = { attributes: attributes || {} }; const fileType = "flow"; const wrappedFunction = async ( inputs: I extends Record & { messages?: ChatMessage[]; } ? I : never, ) => { return contextApi.context.with( setDecoratorContext({ path: path, type: fileType, version: flowKernel, }), async () => { return opentelemetryTracer.startActiveSpan( HUMANLOOP_FLOW_SPAN_NAME, async (span) => { span.setAttribute(HUMANLOOP_PATH_KEY, path); span.setAttribute(HUMANLOOP_FILE_TYPE_KEY, fileType); const traceId = getTraceId(); const logInputs = { ...inputs } as Record; const logMessages = logInputs.messages as | ChatMessage[] | undefined; delete logInputs.messages; const initLogInputs: FlowLogRequest = { inputs: logInputs, messages: logMessages, traceParentId: traceId, }; const flowLogResponse: FlowLogResponse = // @ts-ignore await client.flows._log({ path, flow: flowKernel, logStatus: "incomplete", ...initLogInputs, }); return await contextApi.context.with( setTraceId(flowLogResponse.id), async () => { let logOutput: string | undefined; let outputMessage: ChatMessage | undefined; let logError: string | undefined; let funcOutput: O | undefined; try { funcOutput = await callable(inputs); if ( // @ts-ignore funcOutput instanceof Object && "role" in funcOutput && "content" in funcOutput ) { outputMessage = funcOutput as unknown as ChatMessage; logOutput = undefined; } else { logOutput = jsonifyIfNotString( callable, funcOutput, ); outputMessage = undefined; } logError = undefined; } catch (err: any) { console.error( `Error calling ${callable.name}:`, err, ); logOutput = undefined; outputMessage = undefined; logError = err.message || String(err); funcOutput = undefined as unknown as O; } const updatedFlowLog = { log_status: "complete", output: logOutput, error: logError, output_message: outputMessage, id: flowLogResponse.id, }; writeToOpenTelemetrySpan( span as unknown as ReadableSpan, // @ts-ignore updatedFlowLog, HUMANLOOP_LOG_KEY, ); span.end(); return funcOutput; }, ); }, ); }, ); }; // @ts-ignore return Object.assign(wrappedFunction, { file: { path: path, type: fileType, version: flowKernel, callable: wrappedFunction, }, }); } humanloop-node-0.8.16/src/decorators/index.ts000066400000000000000000000001321476356526200211620ustar00rootroot00000000000000export { flowUtilityFactory } from "./flow"; export { toolUtilityFactory } from "./tool"; humanloop-node-0.8.16/src/decorators/prompt.ts000066400000000000000000000017311476356526200214020ustar00rootroot00000000000000import * as contextApi from "@opentelemetry/api"; import { setDecoratorContext } from "../evals"; export function promptDecoratorFactory(path: string, callable: (inputs: I) => O) { const fileType = "prompt"; const wrappedFunction = (inputs: I) => { return contextApi.context.with( setDecoratorContext({ path: path, type: fileType, version: { // TODO: Implement reverse lookup of template template: undefined, }, }), async () => { return await callable(inputs); }, ); }; return Object.assign(wrappedFunction, { file: { path: path, type: fileType, version: { // TODO: Implement reverse lookup of template template: undefined, }, callable: wrappedFunction, }, }); } humanloop-node-0.8.16/src/decorators/tool.ts000066400000000000000000000110311476356526200210300ustar00rootroot00000000000000import { ReadableSpan, Tracer } from "@opentelemetry/sdk-trace-node"; import { ToolKernelRequest } from "../api/types/ToolKernelRequest"; import { getEvaluationContext, getTraceId } from "../context"; import { File as EvalRunFile } from "../evals/types"; import { NestedDict, jsonifyIfNotString, writeToOpenTelemetrySpan } from "../otel"; import { HUMANLOOP_FILE_KEY, HUMANLOOP_FILE_TYPE_KEY, HUMANLOOP_LOG_KEY, HUMANLOOP_PATH_KEY, HUMANLOOP_TOOL_SPAN_NAME, } from "../otel/constants"; /** * Higher-order function for wrapping a function with OpenTelemetry instrumentation. * It inspects the argument signature of the wrapped function to build a JSON schema. * * @param func - The function to wrap * @param opentelemetryTracer - The OpenTelemetry tracer instance * @param path - Optional span path * @param version - Additional metadata for the function * @returns Wrapped function with OpenTelemetry instrumentation */ export function toolUtilityFactory( opentelemetryTracer: Tracer, callable: (inputs: I) => O, version: ToolKernelRequest, path: string, ): (inputs: I) => O & { jsonSchema: Record; file: EvalRunFile; } { const fileType = "tool"; const wrappedFunction = async (inputs: I) => { const evaluationContext = getEvaluationContext(); if (evaluationContext && evaluationContext.path === path) { throw new Error( "Tools cannot be evaluated with the `evaluations.run()` utility.", ); } validateArgumentsAgainstSchema(version, inputs); // @ts-ignore return opentelemetryTracer.startActiveSpan( HUMANLOOP_TOOL_SPAN_NAME, async (span) => { // Add span attributes writeToOpenTelemetrySpan( span as unknown as ReadableSpan, { ...version, } as unknown as NestedDict, HUMANLOOP_FILE_KEY, ); span = span.setAttribute(HUMANLOOP_FILE_TYPE_KEY, fileType); span = span.setAttribute(HUMANLOOP_PATH_KEY, path); let logInputs = { ...inputs } as Record; let logError: string | undefined; let logOutput: string | undefined; let funcOutput: O | undefined; try { funcOutput = await callable(inputs); logOutput = jsonifyIfNotString(callable, funcOutput); logError = undefined; } catch (err: any) { console.error(`Error calling ${callable.name}:`, err); funcOutput = undefined; logOutput = undefined; logError = err.message || String(err); } const toolLog = { inputs: logInputs, output: logOutput, error: logError, trace_parent_id: getTraceId(), }; writeToOpenTelemetrySpan( span as unknown as ReadableSpan, toolLog as unknown as NestedDict, HUMANLOOP_LOG_KEY, ); span.end(); return funcOutput; }, ); }; // @ts-ignore Adding jsonSchema property to utility-wrapped function return Object.assign(wrappedFunction, { jsonSchema: version.function || {}, decorator: { type: fileType, path: path, version, }, }); } function validateArgumentsAgainstSchema(toolKernel: ToolKernelRequest, inputs?: any) { const parameters = (toolKernel.function?.parameters?.properties as Record) || {}; if (!parameters || Object.keys(parameters).length === 0) { if (inputs === undefined) { return; } throw new Error( `Tool function ${toolKernel.function?.name} received inputs when the JSON schema defines none`, ); } if (inputs === undefined) { if (Object.keys(parameters).length > 0 || !parameters) { throw new Error( `Tool function ${toolKernel.function?.name} expected inputs but received none.`, ); } } Object.keys(inputs!).forEach((inputKey) => { if (!parameters.hasOwnProperty(inputKey)) { throw new Error(`Inputs key '${inputKey}' does not match the JSON schema.`); } }); } humanloop-node-0.8.16/src/decorators/types.ts000066400000000000000000000002111476356526200212150ustar00rootroot00000000000000export type InputsMessagesCallableType = (inputs: I, messages: M) => O; export type ToolCallableType = (inputs: I) => O; humanloop-node-0.8.16/src/environments.ts000066400000000000000000000003621476356526200204420ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export const HumanloopEnvironment = { Default: "https://api.humanloop.com/v5", } as const; export type HumanloopEnvironment = typeof HumanloopEnvironment.Default; humanloop-node-0.8.16/src/error.ts000066400000000000000000000007451476356526200170510ustar00rootroot00000000000000export class HumanloopRuntimeError extends Error { /** * SDK custom code handles exceptions by populating Logs' `error` field. * * This exception signals an error severe enough to crash the execution * e.g. illegal use of decorators. */ constructor(message?: string) { super(message); } toString(): string { if (this.message === undefined) { return super.toString(); } return this.message; } } humanloop-node-0.8.16/src/errors/000077500000000000000000000000001476356526200166565ustar00rootroot00000000000000humanloop-node-0.8.16/src/errors/HumanloopError.ts000066400000000000000000000021341476356526200222020ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import { toJson } from "../core/json"; export class HumanloopError extends Error { readonly statusCode?: number; readonly body?: unknown; constructor({ message, statusCode, body }: { message?: string; statusCode?: number; body?: unknown }) { super(buildMessage({ message, statusCode, body })); Object.setPrototypeOf(this, HumanloopError.prototype); if (statusCode != null) { this.statusCode = statusCode; } if (body !== undefined) { this.body = body; } } } function buildMessage({ message, statusCode, body, }: { message: string | undefined; statusCode: number | undefined; body: unknown | undefined; }): string { let lines: string[] = []; if (message != null) { lines.push(message); } if (statusCode != null) { lines.push(`Status code: ${statusCode.toString()}`); } if (body != null) { lines.push(`Body: ${toJson(body, undefined, 2)}`); } return lines.join("\n"); } humanloop-node-0.8.16/src/errors/HumanloopTimeoutError.ts000066400000000000000000000004061476356526200235510ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ export class HumanloopTimeoutError extends Error { constructor(message: string) { super(message); Object.setPrototypeOf(this, HumanloopTimeoutError.prototype); } } humanloop-node-0.8.16/src/errors/index.ts000066400000000000000000000001641476356526200203360ustar00rootroot00000000000000export { HumanloopError } from "./HumanloopError"; export { HumanloopTimeoutError } from "./HumanloopTimeoutError"; humanloop-node-0.8.16/src/evals/000077500000000000000000000000001476356526200164545ustar00rootroot00000000000000humanloop-node-0.8.16/src/evals/index.ts000066400000000000000000000000341476356526200201300ustar00rootroot00000000000000export * from "../context"; humanloop-node-0.8.16/src/evals/run.ts000066400000000000000000001034051476356526200176330ustar00rootroot00000000000000/** * Evaluation utils for the Humanloop SDK. * * This module provides a set of utilities to aid running Eval workflows on Humanloop * where you are managing the runtime of your application in your code. * * Functions in this module should be accessed via the Humanloop client. They should * not be called directly. */ import * as contextApi from "@opentelemetry/api"; import cliProgress from "cli-progress"; import _, { capitalize } from "lodash"; import { BooleanEvaluatorStatsResponse, ChatMessage, CreateEvaluationRequestEvaluatorsItem, DatapointResponse, DatasetResponse, EvaluationResponse, EvaluationRunResponse, EvaluationStats, EvaluatorArgumentsType, EvaluatorRequest, EvaluatorResponse, EvaluatorReturnTypeEnum, ExternalEvaluatorRequest, FileType, FlowLogRequest, FlowRequest, FlowResponse, LogResponse, NumericEvaluatorStatsResponse, PromptLogRequest, PromptRequest, PromptResponse, RunStatsResponse, ToolKernelRequest, ToolLogRequest, ToolRequest, ToolResponse, } from "../api"; import { EvaluationContext, getEvaluationContext, setEvaluationContext, } from "../context"; import { HumanloopRuntimeError } from "../error"; import { Humanloop, HumanloopClient } from "../index"; import { jsonifyIfNotString } from "../otel/helpers"; import { Dataset, Evaluator, EvaluatorCheck, File, FileResponse, LocalEvaluator, LocalEvaluatorReturnTypeEnum, OnlineEvaluator, } from "./types"; // ANSI escape codes for logging colors const YELLOW = "\x1b[93m"; const CYAN = "\x1b[96m"; const GREEN = "\x1b[92m"; const RED = "\x1b[91m"; const RESET = "\x1b[0m"; /** * Maps over an array of items with a concurrency limit, applying an asynchronous mapper function to each item. * * @template T - The type of the items in the input array. * @template O - The type of the items in the output array. * * @param {T[]} iterable - The array of items to be mapped. * @param {(item: T) => Promise} mapper - The asynchronous function to apply to each item. * @param {{ concurrency: number }} options - Options for the mapping operation. * @param {number} options.concurrency - The maximum number of promises to resolve concurrently. * * @returns {Promise} A promise that resolves to an array of mapped items. * * @throws {TypeError} If the first argument is not an array. * @throws {TypeError} If the second argument is not a function. * @throws {TypeError} If the concurrency option is not a positive number. * * @description * The `pMap` function processes the input array in chunks, where the size of each chunk is determined by the `concurrency` option. * This controls how many promises are resolved at a time, which can help avoid issues such as rate limit errors when making server requests. */ async function pMap( iterable: T[], mapper: (item: T) => Promise, options: { concurrency: number }, ): Promise { const { concurrency } = options; if (!Array.isArray(iterable)) { throw new TypeError("Expected the first argument to be an array"); } if (typeof mapper !== "function") { throw new TypeError("Expected the second argument to be a function"); } if (typeof concurrency !== "number" || concurrency <= 0) { throw new TypeError("Expected the concurrency option to be a positive number"); } const result: O[] = []; for (let i = 0; i < iterable.length; i += concurrency) { const chunk = iterable.slice(i, i + concurrency); try { const chunkResults = await Promise.all(chunk.map(mapper)); result.push(...chunkResults); } catch (error) { // Handle individual chunk errors if necessary // For now, rethrow to reject the entire pMap promise throw error; } } return result; } function callableIsHumanloopUtility(file: File): boolean { return file.callable !== undefined && "decorator" in file.callable; } function fileOrFileInsideHLUtility(file: File): File { if (callableIsHumanloopUtility(file)) { // @ts-ignore const innerFile: File = file.callable!.file! as File; if ("path" in file && innerFile.path !== file.path) { throw new HumanloopRuntimeError( "`path` attribute specified in the `file` does not match the path of the decorated function. " + `Expected \`${innerFile.path}\`, got \`${file.path}\`.`, ); } if ("id" in file) { throw new HumanloopRuntimeError( "Do not specify an `id` attribute in `file` argument when using a decorated function.", ); } if ("version" in file) { if (innerFile.type !== "prompt") { throw new HumanloopRuntimeError( `Do not specify a \`version\` attribute in \`file\` argument when using a ${capitalize(innerFile.type)} decorated function.`, ); } } if ("type" in file && innerFile.type !== file.type) { throw new HumanloopRuntimeError( "Attribute `type` of `file` argument does not match the file type of the decorated function. " + `Expected \`${innerFile.type}\`, got \`${file.type}\`.`, ); } const file_ = { ...innerFile }; if (file_.type === "prompt") { console.warn( `${YELLOW}` + "The @prompt decorator will not spy on provider calls when passed to `evaluations.run()`. " + "Using the `version` in `file` argument instead.\n" + `${RESET}`, ); file_.version = file.version; } return file_; } else { const file_ = { ...file }; if (!file_.path && !file_.id) { throw new HumanloopRuntimeError( "You must provide a path or id in your `file`.", ); } return file_; } } function getFileType(file: File): FileType { // Determine the `type` of the `file` to Evaluate - if not `type` provided, default to `flow` try { const type_ = file.type as FileType; console.info( `${CYAN}Evaluating your ${type_} function corresponding to \`${file.path || file.id}\` on Humanloop${RESET}\n\n`, ); return type_ || "flow"; } catch (error) { const type_ = "flow"; console.warn( `${YELLOW}No \`file\` type specified, defaulting to flow.${RESET}\n`, ); return type_; } } function getFileCallable( file: File, type_: FileType, ): File["callable"] { // Get the `callable` from the `file` to Evaluate const function_ = file.callable; if (!function_) { if (type_ === "flow") { throw new Error( "You must provide a `callable` for your Flow `file` to run a local eval.", ); } else { console.info( `${CYAN}No \`callable\` provided for your ${type_} file - will attempt to generate logs on Humanloop.\n\n${RESET}`, ); } } return function_; } export async function runEval( client: HumanloopClient, file: File, dataset: Dataset, name?: string, evaluators: ( | OnlineEvaluator | LocalEvaluator )[] = [], concurrency: number = 8, ): Promise { if (concurrency > 32) { console.log("Warning: Too many parallel workers, capping the number to 32."); } concurrency = Math.min(concurrency, 32); const file_ = fileOrFileInsideHLUtility(file); const type_ = getFileType(file_); const function_ = getFileCallable(file_, type_); if (function_ && "file" in function_) { // @ts-ignore const decoratorType = (function_.file as File).type; if (decoratorType !== type_) { throw new HumanloopRuntimeError( `The type of the decorated function does not match the type of the file. Expected \`${capitalize(type_)}\`, got \`${capitalize(decoratorType)}\`.`, ); } } let hlFile: PromptResponse | FlowResponse | ToolResponse | EvaluatorResponse; try { hlFile = await upsertFile({ file: file_, type: type_, client: client }); } catch (e: any) { console.error( `${RED}Error in your \`file\` argument:\n\n${e.constructor.name}: ${e.message}${RESET}`, ); return []; } let hlDataset: DatasetResponse; try { hlDataset = await upsertDataset({ dataset: dataset, client: client }); } catch (e: any) { console.error( `${RED}Error in your \`file\` argument:\n\n${e.constructor.name}: ${e.message}${RESET}`, ); return []; } let localEvaluators: _LocalEvaluator[]; try { localEvaluators = await upsertLocalEvaluators({ evaluators: evaluators.filter( (evaluator) => "callable" in evaluator, ) as LocalEvaluator[], client: client, // @ts-ignore callable: function_, type: type_, }); } catch (e: any) { console.error( `${RED}Error in your \`file\` argument:\n\n${e.constructor.name} ${e.message}${RESET}`, ); return []; } assertDatasetEvaluatorsFit(hlDataset, localEvaluators); const { evaluation, run } = await getNewRun({ client, evaluationName: name, evaluators, hlFile, hlDataset, // @ts-ignore func: function_, }); const runId = run.id; function cancelEvaluation() { client.evaluations.updateEvaluationRun(evaluation.id, runId, { status: "cancelled", }); } function handleExitSignal(signum: number) { process.stderr.write( `\n${RED}Received signal ${signum}, cancelling Evaluation and shutting down threads...${RESET}\n`, ); cancelEvaluation(); process.exit(signum); } process.on("SIGINT", handleExitSignal); process.on("SIGTERM", handleExitSignal); // Header of the CLI report console.log(`\n${CYAN}Navigate to your Evaluation:${RESET}\n${evaluation.url}\n`); console.log( `${CYAN}${type_.charAt(0).toUpperCase() + type_.slice(1)} Version ID: ${ hlFile.versionId }${RESET}`, ); console.log(`${CYAN}Run ID: ${runId}${RESET}`); // Generate locally if a file `callable` is provided if (function_ === undefined) { // TODO: trigger run when updated API is available process.stdout.write( `${CYAN}\nRunning '${hlFile.name}' over the Dataset '${hlDataset.name}'${RESET}\n`, ); } else { // Running the evaluation locally process.stdout.write( `${CYAN}\nRunning '${hlFile.name}' over the Dataset '${hlDataset.name}' locally...${RESET}\n\n`, ); } // Configure the progress bar const progressBar = new cliProgress.SingleBar( { format: "Progress |" + "{bar}" + "| {percentage}% || {value}/{total} Datapoints", }, cliProgress.Presets.shades_classic, ); async function processDatapoint( datapoint: DatapointResponse, runId: string, ): Promise { async function uploadCallback(logId: string) { await runLocalEvaluators(client, logId, datapoint, localEvaluators); progressBar.increment(); } if (function_ === undefined) { throw new HumanloopRuntimeError( `\`file.callable\` is undefined. Please provide a callable for your file.`, ); } const logFunc = getLogFunction( client, type_, hlFile.id, hlFile.versionId, runId, ); if (datapoint.inputs === undefined) { throw new Error(`Datapoint 'inputs' attribute is undefined.`); } contextApi.context.with( setEvaluationContext( new EvaluationContext({ sourceDatapointId: datapoint.id, runId, evalCallback: uploadCallback, fileId: hlFile.id, path: hlFile.path, }), ), async () => { const startTime = new Date(); let funcInputs: Record & { messages?: Humanloop.ChatMessage[]; } = { ...datapoint.inputs, }; if ("messages" in datapoint) { funcInputs = { ...funcInputs, messages: datapoint.messages, }; } const evaluationContext = getEvaluationContext(); if (!evaluationContext) { throw new Error( "Internal error: evaluation context is not set while processing a datapoint.", ); } try { const output = await callFunction(function_, datapoint); if (!evaluationContext.logged) { const log = await logFunc({ inputs: { ...datapoint.inputs }, messages: datapoint.messages, output: output, sourceDatapointId: datapoint.id, runId: runId, startTime: startTime, endTime: new Date(), logStatus: "complete", }); // @ts-ignore evaluationContext._callback(log.id); } } catch (e: any) { if (e instanceof HumanloopRuntimeError) { throw e; } const errorMessage = e instanceof Error ? e.message : String(e); const log = await logFunc({ inputs: { ...datapoint.inputs }, messages: datapoint.messages, error: errorMessage, sourceDatapointId: datapoint.id, runId: runId, startTime: startTime, endTime: new Date(), logStatus: "complete", }); // @ts-ignore evaluationContext._callback(log.id); console.warn( `\nYour ${type_}'s callable failed for Datapoint: ${datapoint.id}.\nError: ${errorMessage}`, ); } }, ); } // Generate locally if a function is provided if (function_) { console.log( `${CYAN}\nRunning ${hlFile.name} over the Dataset ${hlDataset.name}${RESET}`, ); const totalDatapoints = hlDataset.datapoints!.length; progressBar.start(totalDatapoints, 0); await pMap( hlDataset.datapoints!, async (datapoint) => { await processDatapoint(datapoint, runId); }, { concurrency: concurrency }, ); progressBar.stop(); } else { // TODO: trigger run when updated API is available console.log( `${CYAN}\nRunning ${hlFile.name} over the Dataset ${hlDataset.name}${RESET}`, ); } // Wait for the Evaluation to complete then print the results let stats; do { stats = await client.evaluations.getStats(evaluation.id); if (stats?.progress) { const newLines = stats.progress.split("\n").length - 1; process.stdout.write(`\r${stats.progress}`); // Move the cursor up by the number of new lines process.stdout.moveCursor(0, -newLines); } if (stats.status !== "completed") { await new Promise((resolve) => setTimeout(resolve, 500)); } } while (stats.status !== "completed"); console.log(stats.report); const checks: EvaluatorCheck[] = []; if ( evaluators.some((evaluator) => evaluator.threshold !== undefined) || stats.runStats.length > 1 ) { for (const evaluator of evaluators) { const [_, score, delta] = checkEvaluationImprovement( evaluation, evaluator.path!, stats, runId, ); let thresholdCheck = undefined; if (evaluator.threshold !== undefined) { thresholdCheck = score >= evaluator.threshold; thresholdCheck = checkEvaluationThreshold( evaluation, stats, evaluator.path!, evaluator.threshold, runId, ); } checks.push({ path: evaluator.path!, // TODO: Add back in with number valence on Evaluators // improvementCheck: improvementCheck, score: score, delta: delta, threshold: evaluator.threshold, thresholdCheck: thresholdCheck, evaluationId: evaluation.id, }); } } console.info(`\n${CYAN}View your Evaluation:${RESET}\n${evaluation.url}\n`); return checks; } async function callFunction( callable: File["callable"], datapoint: DatapointResponse, ): Promise { const datapointDict = { ...datapoint }; let output; if (callable === undefined) { throw new HumanloopRuntimeError( `\`file.callable\` is undefined. Please provide a callable for your file.`, ); } if ("messages" in datapointDict && !!datapointDict["messages"]) { output = await callable({ ...datapointDict["inputs"], messages: datapointDict["messages"], } as unknown as I); } else { output = await callable({ ...datapointDict["inputs"] } as unknown as I); } if (typeof output !== "string") { try { output = JSON.stringify(output); } catch (error) { throw new HumanloopRuntimeError( `\`file.callable\` must return a string or a JSON serializable object.`, ); } } return output; } async function upsertFile({ file, type, client, }: { file: File; type: FileType; client: HumanloopClient; }): Promise { // Get or create the file on Humanloop const version = file.version || {}; const fileDict = { ...file, ...version }; let hlFile: PromptResponse | FlowResponse | ToolResponse | EvaluatorResponse; switch (type) { case "flow": // Be more lenient with Flow versions as they are arbitrary json const flowVersion = { attributes: version }; const fileDictWithFlowVersion = { ...file, ...flowVersion }; hlFile = await client.flows.upsert(fileDictWithFlowVersion as FlowRequest); break; case "prompt": hlFile = await client.prompts.upsert(fileDict as PromptRequest); break; case "tool": hlFile = await client.tools.upsert(fileDict as ToolRequest); break; case "evaluator": hlFile = await client.evaluators.upsert(fileDict as EvaluatorRequest); break; default: throw new Error(`Unsupported File type: ${type}`); } return hlFile; } async function upsertDataset({ dataset, client, }: { dataset: Dataset; client: HumanloopClient; }): Promise { // Upsert the Dataset if (!dataset.action) { dataset.action = "set"; } if (!dataset.datapoints) { dataset.datapoints = []; // Use `upsert` to get existing dataset ID if no datapoints provided, given we can't `get` on path. dataset.action = "add"; } const hlDataset = await client.datasets.upsert({ ...dataset, datapoints: dataset.datapoints || [], }); return await client.datasets.get(hlDataset.id, { versionId: hlDataset.versionId, includeDatapoints: true, }); } type _LocalEvaluator = { hlEvaluator: EvaluatorResponse; // @ts-ignore function: (params: { log: LogResponse; datapoint?: DatapointResponse; }) => Promise; }; async function getNewRun({ client, evaluationName, evaluators, hlFile, hlDataset, func, }: { client: HumanloopClient; evaluationName: string | undefined; evaluators: Evaluator[]; hlFile: PromptResponse | FlowResponse | ToolResponse | EvaluatorResponse; hlDataset: DatasetResponse; func: ((inputs: Record) => Promise) | undefined; }): Promise<{ evaluation: EvaluationResponse; run: EvaluationRunResponse }> { // Get or create the Evaluation based on the name let evaluation: EvaluationResponse | null = null; try { evaluation = await client.evaluations.create({ name: evaluationName, evaluators: evaluators.map( (evaluator) => ({ path: evaluator.path, id: evaluator.id, }) as CreateEvaluationRequestEvaluatorsItem, ), file: { id: hlFile.id }, }); } catch (error: any) { // If the name exists, go and get it // TODO: Update API GET to allow querying by name and file. if (error.statusCode === 409) { const evals = await client.evaluations.list({ fileId: hlFile.id, size: 50, }); for await (const e of evals) { if (e.name === evaluationName) { evaluation = e; break; } } } else { throw error; } if (!evaluation) { throw new Error(`Evaluation with name ${evaluationName} not found.`); } } // Create a new Run const run: EvaluationRunResponse = await client.evaluations.createRun( evaluation.id, { dataset: { versionId: hlDataset.versionId }, version: { versionId: hlFile.versionId }, orchestrated: func ? false : true, useExistingLogs: false, }, ); return { evaluation, run }; } async function upsertLocalEvaluators({ evaluators, callable, type, client, }: { evaluators: LocalEvaluator[]; callable: File["callable"]; type: FileType; client: HumanloopClient; }): Promise<_LocalEvaluator[]> { // Upsert the local Evaluators; other Evaluators are just referenced by `path` or `id` const localEvaluators: _LocalEvaluator[] = []; if (evaluators) { for (const evaluatorRequest of evaluators) { // If a callable is provided for an Evaluator, we treat it as External const evalFunction = evaluatorRequest.callable; if (evalFunction !== undefined) { // TODO: support the case where `file` logs generated on Humanloop but Evaluator logs generated locally if (callable === undefined) { throw new Error( `Local Evaluators are only supported when generating Logs locally using your ${type}'s callable. Please provide a callable for your file in order to run Evaluators locally.`, ); } const spec: ExternalEvaluatorRequest = { argumentsType: evaluatorRequest.argsType, returnType: evaluatorRequest.returnType as EvaluatorReturnTypeEnum, attributes: { code: evalFunction.toString() }, evaluatorType: "external", }; const evaluator = await client.evaluators.upsert({ id: evaluatorRequest.id, path: evaluatorRequest.path, spec, }); localEvaluators.push({ hlEvaluator: evaluator, // @ts-ignore function: evalFunction, }); } } } return localEvaluators; } function assertDatasetEvaluatorsFit( hlDataset: DatasetResponse, localEvaluators: _LocalEvaluator[], ): void { // Validate upfront that the local Evaluators and Dataset fit const requiresTarget = localEvaluators.some( (localEvaluator) => localEvaluator.hlEvaluator.spec.argumentsType === "target_required", ); if (requiresTarget) { const missingTargets = (hlDataset.datapoints || []).filter( (datapoint) => !datapoint.target, ).length; if (missingTargets > 0) { throw new Error( `${missingTargets} Datapoints have no target. A target is required for the Evaluator: ${ localEvaluators.find( (localEvaluator) => localEvaluator.hlEvaluator.spec.argumentsType === "target_required", )?.hlEvaluator.path }`, ); } } } /** * Returns the appropriate log function pre-filled with common parameters. * * @param client - The HumanloopClient instance used to make API calls. * @param type - The type of file for which the log function is being generated. Can be "flow", "prompt", or "tool". * @param fileId - The ID of the file. * @param versionId - The version ID of the file. * @param runId - The run ID associated with the log. * @returns A function that logs data to the appropriate endpoint based on the file type. * @throws {Error} If the provided file type is unsupported. */ function getLogFunction( client: HumanloopClient, type: FileType, fileId: string, versionId: string, runId: string, ) { const logRequest = { // TODO: why does the Log `id` field refer to the file ID in the API? // Why are both `id` and `version_id` needed in the API? id: fileId, versionId, runId, }; switch (type) { case "flow": return async (args: FlowLogRequest) => // @ts-ignore Using the original method instead of the overloaded one await client.flows._log({ ...logRequest, logStatus: "complete", ...args, }); case "prompt": return async (args: PromptLogRequest) => // @ts-ignore Using the original method instead of the overloaded one await client.prompts._log({ ...logRequest, ...args }); // case "evaluator": // return (args: CreateEvaluatorLogRequest) => // client.evaluators._log({ ...logRequest, ...args }); case "tool": return async (args: ToolLogRequest) => // @ts-ignore Using the original method instead of the overloaded one await client.tools._log({ ...logRequest, ...args }); default: throw new Error(`Unsupported File version: ${type}`); } } async function runLocalEvaluators( client: HumanloopClient, logId: string, datapoint: DatapointResponse | undefined, localEvaluators: _LocalEvaluator[], ) { const log = await client.logs.get(logId); const promises = localEvaluators.map( async ({ hlEvaluator, function: evalFunction }) => { const startTime = new Date(); let judgment: any | undefined; try { if (hlEvaluator.spec.argumentsType === "target_required") { judgment = await evalFunction({ log, datapoint }); } else { judgment = await evalFunction({ log }); } // @ts-ignore Using the original method instead of the overloaded one await client.evaluators._log({ path: hlEvaluator.path, versionId: hlEvaluator.versionId, parentId: logId, judgment: judgment, startTime: startTime, endTime: new Date(), }); } catch (e) { // @ts-ignore Using the original method instead of the overloaded one await client.evaluators._log({ path: hlEvaluator.path, versionId: hlEvaluator.versionId, parentId: logId, error: e instanceof Error ? e.message : String(e), startTime: startTime, endTime: new Date(), }); console.warn(`\nEvaluator ${hlEvaluator.path} failed with error ${e}`); } }, ); await Promise.all(promises); } function checkEvaluationImprovement( evaluation: EvaluationResponse, evaluatorPath: string, stats: EvaluationStats, runId: string, ): [boolean, number, number] { const runStats = stats.runStats.find((run) => run.runId === runId); if (!runStats) { throw new Error(`Run ${runId} not found in Evaluation ${evaluation.id}`); } const latestEvaluatorStatsByPath = getEvaluatorStatsByPath(runStats, evaluation); if (stats.runStats.length == 1) { console.log(`${YELLOW}⚠️ No previous versions to compare with.${RESET}`); return [true, 0, 0]; } // Latest Run is at index 0, previous Run is at index 1 const previousEvaluatorStatsByPath = getEvaluatorStatsByPath( stats.runStats[1], evaluation, ); if ( evaluatorPath in latestEvaluatorStatsByPath && evaluatorPath in previousEvaluatorStatsByPath ) { const latestEvaluatorStats = latestEvaluatorStatsByPath[evaluatorPath]; const previousEvaluatorStats = previousEvaluatorStatsByPath[evaluatorPath]; const latestScore = getScoreFromEvaluatorStat(latestEvaluatorStats); const previousScore = getScoreFromEvaluatorStat(previousEvaluatorStats); if (latestScore === null || previousScore === null) { throw new Error(`Could not find score for Evaluator ${evaluatorPath}`); } let diff = latestScore - previousScore; // Round to 2 decimal places diff = Math.round(diff * 100) / 100; console.log( `${CYAN}Change of [${diff}] for Evaluator ${evaluatorPath}${RESET}`, ); return [diff >= 0, latestScore, diff]; } else { throw Error(`Evaluator ${evaluatorPath} not found in the stats.`); } } function getScoreFromEvaluatorStat( stat: NumericEvaluatorStatsResponse | BooleanEvaluatorStatsResponse, ): number | null { let score: number | null = null; if ("numTrue" in stat) { score = ((stat as BooleanEvaluatorStatsResponse).numTrue as number) / (stat as BooleanEvaluatorStatsResponse).totalLogs; // Round to 2 decimal places score = Math.round(score * 100) / 100; } else if ("mean" in stat && stat.mean !== undefined) { // Round to 2 decimal places score = Math.round(stat.mean * 100) / 100; } else { throw new Error(`Unexpected EvaluatorStats type: ${stat}`); } return score; } function getEvaluatorStatsByPath( stats: RunStatsResponse, evaluation: EvaluationResponse, ): { [key: string]: NumericEvaluatorStatsResponse | BooleanEvaluatorStatsResponse } { const evaluatorsById = {} as { [key: string]: Humanloop.EvaluationEvaluatorResponse; }; for (const evaluator of evaluation.evaluators) { evaluatorsById[evaluator.version.versionId] = evaluator; } const evaluatorStatsByPath = {} as { [key: string]: NumericEvaluatorStatsResponse | BooleanEvaluatorStatsResponse; }; for (const evaluatorStats of stats.evaluatorStats) { const evaluator = evaluatorsById[evaluatorStats.evaluatorVersionId]; evaluatorStatsByPath[evaluator.version.path] = evaluatorStats as | NumericEvaluatorStatsResponse | BooleanEvaluatorStatsResponse; } return evaluatorStatsByPath; } function checkEvaluationThreshold( evaluation: EvaluationResponse, stats: EvaluationStats, evaluatorPath: string, threshold: number, runId: string, ) { const runStats = stats.runStats.find((run) => run.runId === runId); if (!runStats) { throw new Error(`Run ${runId} not found in Evaluation ${evaluation.id}`); } const evaluatorStatsByPath = getEvaluatorStatsByPath(runStats, evaluation); if (evaluatorPath in evaluatorStatsByPath) { const evaluatorStats = evaluatorStatsByPath[evaluatorPath]; const score = getScoreFromEvaluatorStat(evaluatorStats); if (score === null) { throw new Error(`Could not find score for Evaluator ${evaluatorPath}`); } if (score >= threshold) { console.log( `${GREEN}✅ Latest eval [${score}] above threshold [${threshold}] for Evaluator ${evaluatorPath}.${RESET}`, ); } else { console.log( `${RED}❌ Latest eval [${score}] below threshold [${threshold}] for Evaluator ${evaluatorPath}.${RESET}`, ); } return score >= threshold; } else { throw new Error(`Evaluator ${evaluatorPath} not found in the stats.`); } } humanloop-node-0.8.16/src/evals/types.ts000066400000000000000000000103111476356526200201640ustar00rootroot00000000000000import { CodeEvaluatorRequest, CreateDatapointRequest as DatapointRequest, EvaluatorResponse, EvaluatorReturnTypeEnum, EvaluatorsRequest, ExternalEvaluatorRequest, FlowKernelRequest, FlowRequest, FlowResponse, HumanEvaluatorRequest, LlmEvaluatorRequest, PromptKernelRequest, PromptRequest, PromptResponse, ToolKernelRequest, ToolRequest, ToolResponse, UpdateDatesetAction as UpdateDatasetAction, } from "../api"; import { ChatMessage, DatapointResponse, FlowLogResponse, PromptLogResponse, } from "../api/types"; type EvaluatorVersion = | LlmEvaluatorRequest | HumanEvaluatorRequest | CodeEvaluatorRequest | ExternalEvaluatorRequest; export type Version = | FlowKernelRequest | PromptKernelRequest | ToolKernelRequest | EvaluatorVersion; export type FileRequest = FlowRequest | PromptRequest | ToolRequest | EvaluatorsRequest; export type FileResponse = | FlowResponse | PromptResponse | ToolResponse | EvaluatorResponse; interface Identifiers { id?: string; path?: string; } export interface File extends Identifiers { /** The type of File this callable relates to on Humanloop. */ type?: "flow" | "prompt"; /** The contents uniquely define the version of the File on Humanloop. */ version?: Version; /** * The function being evaluated. * It will be called using your Dataset inputs as follows: * `output = callable(datapoint.inputs)`. * If messages are defined in your Dataset, then * `output = callable(datapoint.inputs, messages=datapoint.messages)`. */ callable?: I extends Record & { messages?: ChatMessage[] } ? (args: I) => O : never; } export interface Dataset extends Identifiers { /** The datapoints to map your function over to produce the outputs required by the evaluation. */ datapoints?: DatapointRequest[]; /** * How to update the Dataset given the provided Datapoints; * `set` replaces the existing Datapoints and `add` appends to the existing Datapoints. */ action?: UpdateDatasetAction; } export interface Evaluator extends Identifiers { /**The threshold to check the Evaluator against. If the aggregate value of the Evaluator is below this threshold, the check will fail.*/ threshold?: number; } /** * Subtype of EvaluatorReturnTypeEnum without return types used by Human Evaluators. */ export type LocalEvaluatorReturnTypeEnum = Omit< EvaluatorReturnTypeEnum, "select" | "multi_select" >; export interface OnlineEvaluator extends Evaluator {} export interface LocalEvaluator extends Evaluator { /** The type of return value the Evaluator produces */ returnType: ReturnType; /** The type of arguments the Evaluator expects. */ argsType: ArgsType; /** The function to run on the logs to produce the judgment. */ callable: ( inputs: { log: PromptLogResponse | FlowLogResponse; } & (ArgsType extends "target_required" ? { datapoint: DatapointResponse } : {}), ) => ReturnType extends "boolean" ? boolean : ReturnType extends "number" ? number : ReturnType extends "text" ? string : never; } /** * Evaluate your function for a given `Dataset` and set of `Evaluators`. * * @param client - The Humanloop API client. * @param file - The Humanloop file being evaluated, including a function to run over the dataset. * @param dataset - The dataset to map your function over to produce the outputs required by the Evaluation. * @param name - The name of the Evaluation to run. If it does not exist, a new Evaluation will be created under your File. * @param evaluators - Define how judgments are provided for this Evaluation. * @param workers - The number of threads to process datapoints using your function concurrently. * @returns Per Evaluator checks. */ export interface EvaluatorCheck { path: string; // TODO: Add number valence and improvement check // improvementCheck: boolean; score: number; delta: number; threshold?: number; thresholdCheck?: boolean; evaluationId: string; } humanloop-node-0.8.16/src/humanloop.client.ts000066400000000000000000000455251476356526200212040ustar00rootroot00000000000000import { NodeTracerProvider, Tracer } from "@opentelemetry/sdk-trace-node"; import { AnthropicInstrumentation } from "@traceloop/instrumentation-anthropic"; import { CohereInstrumentation } from "@traceloop/instrumentation-cohere"; import { OpenAIInstrumentation } from "@traceloop/instrumentation-openai"; import { Evaluators } from "api/resources/evaluators/client/Client"; import { HumanloopClient as BaseHumanloopClient } from "./Client"; import { ChatMessage } from "./api"; import { Evaluations as BaseEvaluations } from "./api/resources/evaluations/client/Client"; import { Flows } from "./api/resources/flows/client/Client"; import { Prompts } from "./api/resources/prompts/client/Client"; import { Tools } from "./api/resources/tools/client/Client"; import { ToolKernelRequest } from "./api/types/ToolKernelRequest"; import { flowUtilityFactory } from "./decorators/flow"; import { promptDecoratorFactory } from "./decorators/prompt"; import { toolUtilityFactory } from "./decorators/tool"; import { HumanloopRuntimeError } from "./error"; import { runEval } from "./evals/run"; import { Dataset, EvaluatorCheck, File, LocalEvaluator, OnlineEvaluator, } from "./evals/types"; import { HumanloopSpanExporter } from "./otel/exporter"; import { HumanloopSpanProcessor } from "./otel/processor"; import { overloadCall, overloadLog } from "./overload"; const RED = "\x1b[91m"; const RESET = "\x1b[0m"; class ExtendedEvaluations extends BaseEvaluations { protected readonly _client: HumanloopClient; constructor(options: BaseHumanloopClient.Options, client: HumanloopClient) { super(options); this._client = client; } /** * Evaluate a File's performance. * * The utility takes a callable function that will be run over the dataset. The function's inputs and outputs are transformed into a Log of the evaluated File. The Log is the passed to the Evaluators to produce metrics. * * Running the file again with the same Dataset and Evaluators will create a new Run in the Evaluation. The new Run will be compared to the previous Runs, allowing you to iterate on your File. * * ```typescript * async function trueOrFalse(query: string): Promise { * const response = await openAIClient.chat.completions.create({ * model: "gpt-4o-mini", * temperature: 0, * messages: [ * { role: "system", content: "You are a helpful assistant. You must evaluate queries and decide if their sentiment is closer to boolean true or boolean false. Output only 'true' or 'false' and nothing else" }, * { role: "user", content: query } * ] * }); * return response.choices[0].message.content === 'true'; * } * * humanloop.evaluations.run({ * type: "flow", * callable: trueOrFalse, * path: "Project/True or False" * }, * { * path: "Project/Fuzzy Logic 101", * datapoints: [ * { inputs: { query: "This is 100%" }, target: { output: true } }, * { inputs: { query: "I don't think so" }, target: { output: false } }, * { inputs: { query: "That doesn't go around here" }, target: { output: false } }, * { inputs: { query: "Great work bot!" }, target: { output: true } }, * { inputs: { query: "I agree" }, target: { output: true } } * ] * }, * "Accuracy Evaluation", * evaluators: [ * { * callable: (log, datapoint) => log.output === datapoint.target.output, * path: "Project/Accuracy Evaluator" * } * ] * ); * ``` * * @param file - The file to evaluate. * @param file.type - The type of file being evaluated e.g. "flow". * @param file.version - The version of the file being evaluated. * @param file.callable - The callable to run over the dataset. Can also be a File-utility wrapped callable. * @param dataset - The dataset used in evaluation. Can be an online dataset or local data can be provided as an array of datapoints. * @param dataset.path - The path of the dataset to use in evaluation. If the Dataset is stored on Humanloop, you only need to provide the path. * @param dataset.datapoints - The datapoints to map your function over to produce the outputs required by the evaluation. The datapoints will be uploaded to Humanloop and create a new version of the Dataset. * @param name - The name of the evaluation. * @param evaluators - List of evaluators to be. Can be ran on Humanloop if specified only by path, or locally if a callable is provided. * @param concurrency - Number of datapoints to process in parallel. */ async run({ file, dataset, name, evaluators = [], concurrency = 8, }: { file: File; dataset: Dataset; name?: string; evaluators: ( | OnlineEvaluator | { [R in "text" | "boolean" | "number"]: { [A in "target_required" | "target_free"]: LocalEvaluator; }["target_required" | "target_free"]; }["text" | "boolean" | "number"] )[]; concurrency?: number; }): Promise { return runEval( this._client, file, dataset, name, evaluators, concurrency, ); } } export class HumanloopClient extends BaseHumanloopClient { protected readonly _evaluations: ExtendedEvaluations; protected readonly _prompts_overloaded: Prompts; protected readonly _flows_overloaded: Flows; protected readonly _tools_overloaded: Tools; protected readonly _evaluators_overloaded: Evaluators; protected readonly OpenAI?: any; protected readonly Anthropic?: any; protected readonly CohereAI?: any; protected readonly opentelemetryTracerProvider: NodeTracerProvider; protected readonly opentelemetryTracer: Tracer; /** * Constructs a new instance of the Humanloop client. * * @param _options - The base options for the Humanloop client. * @param providerModules - LLM provider modules to instrument. Allows prompt decorator to spy on LLM provider calls and log them to Humanloop. * * Pass LLM provider modules as such: * * ```typescript * import { OpenAI } from "openai"; * import { Anthropic } from "anthropic"; * import { HumanloopClient } from "humanloop"; * * const humanloop = new HumanloopClient({apiKey: process.env.HUMANLOOP_KEY}, { OpenAI, Anthropic }); * * const openai = new OpenAI({apiKey: process.env.OPENAI_KEY}); * const anthropic = new Anthropic({apiKey: process.env.ANTHROPIC_KEY}); * ``` */ constructor( _options: BaseHumanloopClient.Options, providers?: { OpenAI?: any; Anthropic?: any; CohereAI?: any; }, ) { super(_options); const { OpenAI, Anthropic, CohereAI } = providers ?? {}; this.OpenAI = OpenAI; this.Anthropic = Anthropic; this.CohereAI = CohereAI; this._prompts_overloaded = overloadLog(super.prompts); this._prompts_overloaded = overloadCall(this._prompts_overloaded); this._tools_overloaded = overloadLog(super.tools); this._flows_overloaded = overloadLog(super.flows); this._evaluators_overloaded = overloadLog(super.evaluators); this._evaluations = new ExtendedEvaluations(_options, this); this.opentelemetryTracerProvider = new NodeTracerProvider({ spanProcessors: [ new HumanloopSpanProcessor(new HumanloopSpanExporter(this)), ], }); if (OpenAI) { const instrumentor = new OpenAIInstrumentation({ enrichTokens: true, }); instrumentor.manuallyInstrument(OpenAI); instrumentor.setTracerProvider(this.opentelemetryTracerProvider); instrumentor.enable(); } if (Anthropic) { const instrumentor = new AnthropicInstrumentation(); instrumentor.manuallyInstrument(Anthropic); instrumentor.setTracerProvider(this.opentelemetryTracerProvider); instrumentor.enable(); } if (CohereAI) { const instrumentor = new CohereInstrumentation(); instrumentor.manuallyInstrument(CohereAI); instrumentor.setTracerProvider(this.opentelemetryTracerProvider); instrumentor.enable(); } this.opentelemetryTracerProvider.register(); this.opentelemetryTracer = this.opentelemetryTracerProvider.getTracer("humanloop.sdk"); } public options(): BaseHumanloopClient.Options { return this._options; } // Check if user has passed the LLM provider instrumentors private assertProviders(func: Function) { const noProviderInstrumented = [ this.OpenAI, this.Anthropic, this.CohereAI, ].every((p) => !p); if (noProviderInstrumented) { throw new HumanloopRuntimeError( `${RED}To use the @prompt decorator, pass your LLM client library into the Humanloop client constructor. For example:\n\n import { OpenAI } from "openai"; import { HumanloopClient } from "humanloop"; const humanloop = new HumanloopClient({apiKey: process.env.HUMANLOOP_KEY}, { OpenAI }); // Create the the OpenAI client after the client is initialized const openai = new OpenAI(); ${RESET}`, ); } } /** * Auto-instrument LLM provider calls and create [Prompt](https://humanloop.com/docs/explanation/prompts) * Logs on Humanloop from them. * * ```typescript * import { OpenAI } from "openai"; * import { HumanloopClient } from "humanloop"; * * const humanloop = new HumanloopClient({apiKey: process.env.HUMANLOOP_KEY}, { OpenAI }); * const openai = new OpenAI({apiKey: process.env.OPENAI_KEY}); * * const callOpenaiWithHumanloop = humanloop.prompt({ * path: "Chat Bot", * callable: (args: { * messages: ChatMessage[] * }) => { * const response = await openai.chat.completions.create({ * model: "gpt-4o", * temperature: 0.8, * frequency_penalty: 0.5, * max_tokens: 200, * messages: args.messages, * }); * return response.choices[0].message.content; * }, * }); * * const answer = await callOpenaiWithHumanloop({ * messages: [{ role: "user", content: "What is the capital of the moon?" }], * }); * * // Calling the function above creates a new Log on Humanloop * // against this Prompt version: * { * provider: "openai", * model: "gpt-4o", * endpoint: "chat", * max_tokens: 200, * temperature: 0.8, * frequency_penalty: 0.5, * } * ``` * * If a different model, endpoint, or hyperparameter is used, a new * Prompt version is created. For example: * * ```typescript * humanloopClient.prompt({ * path: "My Prompt", * callable: async (messages: ChatMessage[]) => { * const openaiClient = new OpenAI({ apiKey: process.env.OPENAI_API_KEY }); * const openaiResponse = await openaiClient.chat.completions.create({ * model: "gpt-4o-mini", * temperature: 0.5, * }); * const openaiContent = openaiResponse.choices[0].message.content; * * const anthropicClient = new Anthropic({ apiKey: process.env.ANTHROPIC_API_KEY }); * const anthropicResponse = await anthropicClient.messages.create({ * model: "claude-3-5-sonnet-20240620", * temperature: 0.5, * }); * const anthropicContent = anthropicResponse.content; * * return { openaiContent, anthropicContent }; * } * }); * * Calling this function will create two versions of the same Prompt: * { * provider: "openai", * model: "gpt-4o-mini", * endpoint: "chat", * max_tokens: 200, * temperature: 0.5, * frequency_penalty: 0.5, * } * * { * provider: "anthropic", * model: "claude-3-5-sonnet-20240620", * endpoint: "messages", * temperature: 0.5, * } * * And one Log will be added to each version of the Prompt. * ``` * * @param callable - The callable to wrap. * @param path - The path to the Prompt. */ public prompt(args: { callable: I extends Record & { messages?: ChatMessage[] } ? (args: I) => O : () => O; path: string; }): I extends Record ? ( args: I, ) => O extends Promise ? Promise : Promise : () => O extends Promise ? Promise : Promise { this.assertProviders(args.callable); // @ts-ignore return promptDecoratorFactory(args.path, args.callable); } /** * Auto-instrument LLM provider calls and create [Tool](https://humanloop.com/docs/explanation/tools) * Logs on Humanloop from them. * * You must provide a `version` argument specifying the JSON Schema of the Tool's inputs and outputs, * along with a callable that accepts the inputs and returns the outputs. * * ```typescript * * const calculator = humanloop_client.tool({ * callable: (inputs: { a: number; b: number }) => inputs.a + inputs.b, * path: "Andrei QA/SDK TS/Calculator", * version: { * function: { * name: "calculator", * description: "Add two numbers", * parameters: { * type: "object", * properties: { * a: { type: "number", required: true }, * b: { type: "number", required: true }, * }, * }, * }, * }, * }); * ``` * * @param callable - The callable to wrap. * @param path - The path to the Tool. * @param version - The JSON Schema of the Tool's inputs and outputs, plus the optional Humanloop fields `attributes and `setupValues`. See API reference for details. */ public tool(args: { callable: I extends Record ? (args: I) => O : () => O; path: string; version: ToolKernelRequest; }): I extends Record ? ( args: I, ) => O extends Promise ? Promise : Promise : () => O extends Promise ? Promise : Promise { // @ts-ignore return toolUtilityFactory( this.opentelemetryTracer, args.callable, args.version, args.path, ); } /** * Trace SDK logging calls through [Flows](https://humanloop.com/docs/explanation/flows). * * Use it as the entrypoint of your LLM feature. Logging calls like `prompts.call(...)`, * `tools.call(...)`, or other Humanloop decorators will be automatically added to the trace. * * Example: * * ```typescript * const callLLM = humanloop_client.prompt({ * path: "My Prompt", * callable: (messages: ChatMessage[]) => { * const client = new OpenAI({ apiKey: process.env.OPENAI_API_KEY }); * return client.chat.completions.create({ * model: "gpt-4o", * temperature: 0.8, * frequency_penalty: 0.5, * max_tokens: 200, * messages: messages, * }).choices[0].message.content; * } * * const agent = humanloop_client.flow({ * callable: () => { * while (true) { * const messages: ChatMessage[] = []; * const userInput = prompt("You: "); * if (userInput === "exit") { * break; * } * messages.push({ role: "user", content: userInput }); * const response = callLLM(messages); * messages.push({ role: "assistant", content: response }); * console.log(`Assistant: ${response}`); * } * }, * path: "My Flow", * attributes: { version: "v1" }, * }); * * ``` * * Each call to `agent` will create a trace corresponding to the conversation * session. Multiple Prompt Logs will be created as the LLM is called. They * will be added to the trace, allowing you to see the whole conversation * in the UI. * * If the function returns a ChatMessage-like object, the Log will * populate the `outputMessage` field. Otherwise, it will serialize * the return value and populate the `output` field. * * If an exception is raised, the output fields will be set to None * and the error message will be set in the Log's `error` field. * * @param path - The path to the Flow. If not provided, the function name * will be used as the path and the File will be created in the root * of your organization workspace. * * @param attributes - Additional fields to describe the Flow. Helpful to separate Flow versions from each other with details on how they were created or used. */ public flow({ callable, path, attributes, }: { callable: I extends Record & { messages?: ChatMessage[] } ? ((args: I) => O) | (() => O) : never; path: string; attributes?: Record; }): I extends Record & { messages?: ChatMessage[] } ? ( args: I, ) => O extends Promise ? Promise : Promise : () => O extends Promise ? Promise : Promise { // @ts-ignore return flowUtilityFactory( this, this.opentelemetryTracer, callable, path, attributes, ); } public get evaluations(): ExtendedEvaluations { return this._evaluations; } public get prompts(): Prompts { return this._prompts_overloaded; } public get flows(): Flows { return this._flows_overloaded; } public get tools(): Tools { return this._tools_overloaded; } public get evaluators(): Evaluators { return this._evaluators_overloaded; } } humanloop-node-0.8.16/src/index.ts000066400000000000000000000003231476356526200170170ustar00rootroot00000000000000export * as Humanloop from "./api"; export { HumanloopClient } from "./humanloop.client"; export { HumanloopEnvironment } from "./environments"; export { HumanloopError, HumanloopTimeoutError } from "./errors"; humanloop-node-0.8.16/src/otel/000077500000000000000000000000001476356526200163055ustar00rootroot00000000000000humanloop-node-0.8.16/src/otel/constants.ts000066400000000000000000000017721476356526200207000ustar00rootroot00000000000000// Attribute name prefix on Humanloop spans for file-related attributes + path export const HUMANLOOP_FILE_KEY = "humanloop.file"; // Attribute name prefix on Humanloop spans for log-related attributes export const HUMANLOOP_LOG_KEY = "humanloop.log"; export const HUMANLOOP_FILE_TYPE_KEY = "humanloop.file.type"; export const HUMANLOOP_PATH_KEY = "humanloop.file.path"; export const HUMANLOOP_FLOW_PREREQUISITES_KEY = "humanloop.flow.prerequisites"; export const HUMANLOOP_SPAN_PREFIX = "humanloop."; export const HUMANLOOP_FLOW_SPAN_NAME = `${HUMANLOOP_SPAN_PREFIX}flow`; export const HUMANLOOP_PROMPT_SPAN_NAME = `${HUMANLOOP_SPAN_PREFIX}prompt`; export const HUMANLOOP_TOOL_SPAN_NAME = `${HUMANLOOP_SPAN_PREFIX}tool`; export const HUMANLOOP_CONTEXT_TRACE_ID = "humanloop.context.flow.trace_id"; export const HUMANLOOP_CONTEXT_EVALUATION = "humanloop.context.evaluation"; export const HUMANLOOP_CONTEXT_PROMPT = "humanloop.context.prompt"; export const HUMANLOOP_CONTEXT_DECORATOR = "humanloop.context.decorator"; humanloop-node-0.8.16/src/otel/exporter.ts000066400000000000000000000171101476356526200205250ustar00rootroot00000000000000import { ExportResult, ExportResultCode } from "@opentelemetry/core"; import { ReadableSpan, SpanExporter } from "@opentelemetry/sdk-trace-base"; import { HumanloopRuntimeError } from "../error"; import { getEvaluationContext } from "../evals"; import { HumanloopClient } from "../humanloop.client"; import { SDK_VERSION } from "../version"; import { HUMANLOOP_FILE_TYPE_KEY, HUMANLOOP_LOG_KEY, HUMANLOOP_PATH_KEY, } from "./constants"; import { isLLMProviderCall, readFromOpenTelemetrySpan, writeToOpenTelemetrySpan, } from "./helpers"; import { TracesData } from "./proto/trace"; export class HumanloopSpanExporter implements SpanExporter { private readonly client: HumanloopClient; private shutdownFlag: boolean; private readonly uploadPromises: Promise[]; constructor(client: HumanloopClient) { this.client = client; this.shutdownFlag = false; this.uploadPromises = []; } export(spans: ReadableSpan[]): ExportResult { if (this.shutdownFlag) { console.warn( "[HumanloopSpanExporter] Shutting down, not accepting new spans", ); return { code: ExportResultCode.FAILED, error: new Error("Exporter is shutting down"), }; } for (const span of spans) { const fileType = span.attributes[HUMANLOOP_FILE_TYPE_KEY]; if (!fileType) { throw new Error("Internal error: Span does not have type set"); } let logArgs = {}; let evalCallback: ((log_id: string) => Promise) | null = null; try { logArgs = readFromOpenTelemetrySpan(span, HUMANLOOP_LOG_KEY); const path = readFromOpenTelemetrySpan( span, HUMANLOOP_PATH_KEY, ) as unknown as string; const evaluationContext = getEvaluationContext(); if (evaluationContext) { [logArgs, evalCallback] = evaluationContext.logArgsWithContext({ logArgs, forOtel: true, path, }); writeToOpenTelemetrySpan(span, logArgs, HUMANLOOP_LOG_KEY); } } catch (e) { if (!(e instanceof Error)) { evalCallback = null; } } this.uploadPromises.push(this.exportSpan(span, evalCallback)); } return { code: ExportResultCode.SUCCESS }; } async shutdown(): Promise { this.shutdownFlag = true; await Promise.all(this.uploadPromises); } async forceFlush(): Promise { await this.shutdown(); } private async exportSpan( span: ReadableSpan, evalContextCallback: ((log_id: string) => Promise) | null, ): Promise { const response = await fetch( `${this.client.options().baseUrl}/import/otel/v1/traces`, { method: "POST", headers: { "X-API-KEY": this.client.options().apiKey!.toString(), "X-Fern-Language": "Typescript", "X-Fern-SDK-Name": "humanloop", "X-Fern-SDK-Version": SDK_VERSION, }, body: JSON.stringify(this.spanToPayload(span)), }, ); if (response.status !== 200) { throw new HumanloopRuntimeError( `Failed to upload OTEL span to Humanloop: ${JSON.stringify(await response.json())} ${response.status}`, ); } if (response.status === 200 && evalContextCallback) { const responseBody = await response.json(); const logId = responseBody.records[0]; await evalContextCallback(logId); } } private spanToPayload(span: ReadableSpan): TracesData { return { resourceSpans: [ { scopeSpans: [ { scope: { name: isLLMProviderCall(span) ? "humanloop.sdk.provider" : "humanloop.sdk.decorator", }, spans: [ { traceId: span.spanContext().traceId, spanId: span.spanContext().spanId, traceState: span.spanContext().traceState?.serialize() || "", name: span.name, kind: span.kind, startTimeUnixNano: this.hrTimeToNanoseconds( span.startTime, ), endTimeUnixNano: this.hrTimeToNanoseconds( span.endTime, ), attributes: Object.entries(span.attributes) .filter(([_, value]) => value !== undefined) .map(([key, value]) => ({ key, value: { stringValue: value!.toString() }, })), droppedAttributesCount: span.droppedAttributesCount, events: [], links: span.links.map((link) => ({ traceId: link.context.traceId, spanId: link.context.spanId, traceState: link.context.traceState?.serialize() || "", attributes: link.attributes ? Object.entries(link.attributes) .filter( ([_, value]) => value !== undefined, ) .map(([key, value]) => ({ key, value: { stringValue: value!.toString(), }, })) : [], droppedAttributesCount: link.droppedAttributesCount || 0, })), droppedEventsCount: span.droppedEventsCount, droppedLinksCount: span.droppedLinksCount, }, ], }, ], }, ], }; } private hrTimeToNanoseconds(hrTime: [number, number]): number { const [seconds, nanoseconds] = hrTime; return seconds * 1e9 + nanoseconds; } } humanloop-node-0.8.16/src/otel/helpers.ts000066400000000000000000000151351476356526200203240ustar00rootroot00000000000000import { AttributeValue, SpanKind } from "@opentelemetry/api"; import { ReadableSpan } from "@opentelemetry/sdk-trace-base"; // Constants for Humanloop attributes import { HUMANLOOP_SPAN_PREFIX } from "./constants"; export type NestedDict = { [key: string]: NestedDict | AttributeValue }; export type NestedList = Array; /** * Transforms a list of values into a dictionary with index values as keys. * Nested lists are linearized into dictionaries. * * @param lst - List of nested values to transform * @returns Dictionary representation of the list */ function _listToOtelFormat(lst: NestedList): NestedDict { return lst.reduce((acc, val, idx) => { acc[idx.toString()] = Array.isArray(val) ? _listToOtelFormat(val as (NestedDict | AttributeValue)[]) : val; return acc; }, {}); } /** * Writes a Python-like object to the OpenTelemetry Span's attributes. * Converts complex objects into a linearized dictionary representation. * * @param span - OpenTelemetry span to write values to * @param value - Object to write to the span attributes * @param key - Key prefix for the span attributes */ export function writeToOpenTelemetrySpan( span: ReadableSpan, value: NestedDict | NestedList | AttributeValue | any[], key: string, ): void { let toWriteCopy: NestedDict; if (Array.isArray(value)) { // @ts-ignore toWriteCopy = _listToOtelFormat(value); } else { // @ts-ignore toWriteCopy = { ...value } as NestedDict; } const linearisedAttributes: Record = {}; const workStack: Array<[string, NestedDict | AttributeValue]> = [ [key, toWriteCopy], ]; // Remove existing attributes with the same prefix Object.keys(span.attributes || {}).forEach((attributeKey) => { if (attributeKey.startsWith(key)) { delete (span.attributes as any)[attributeKey]; } }); while (workStack.length > 0) { const [currentKey, currentValue] = workStack.pop()!; if (currentValue === null) { continue; } if (typeof currentValue === "object" && !Array.isArray(currentValue)) { Object.entries(currentValue).forEach(([subKey, subValue]) => { workStack.push([ currentKey ? `${currentKey}.${subKey}` : subKey, subValue, ]); }); } else { linearisedAttributes[currentKey] = currentValue as AttributeValue; } } Object.entries(linearisedAttributes).forEach(([finalKey, finalValue]) => { if (finalValue !== null) { (span.attributes as any)[finalKey] = finalValue; } }); } /** * Reads a value from the OpenTelemetry span attributes. * Reconstructs the original object structure from a key prefix. * * @param span - OpenTelemetry span to read values from * @param key - Key prefix to read from the span attributes * @returns Reconstructed object from the span attributes */ export function readFromOpenTelemetrySpan( span: ReadableSpan, key: string = "", ): NestedDict { if (!span.attributes) { throw new Error("Span attributes are empty"); } let result: NestedDict = {}; const toProcess: Array<[string, AttributeValue?]> = []; Object.entries(span.attributes).forEach(([spanKey, spanValue]) => { if (key === "" || spanKey.startsWith(key)) { const newKey = key === "" ? spanKey : spanKey.slice(key.length + 1); toProcess.push([newKey, spanValue]); } }); if (toProcess.length === 0) { if (key === "") { return result; } throw new Error(`Key ${key} not found in span attributes`); } toProcess.forEach(([spanKey, spanValue]) => { const parts = spanKey.split("."); let currentLevel: NestedDict = result; parts.forEach((part, idx) => { if (idx === parts.length - 1) { currentLevel[part] = spanValue!; } else { if (!(part in currentLevel)) { currentLevel[part] = {}; } currentLevel = currentLevel[part] as NestedDict; } }); }); const pseudoToList = (subDict: NestedDict): NestedList | NestedDict => { if (typeof subDict !== "object" || Array.isArray(subDict)) { return subDict; } Object.keys(subDict).forEach((key) => { // @ts-ignore subDict[key] = pseudoToList(subDict[key] as NestedDict); }); if (Object.keys(subDict).every((key) => /^\d+$/.test(key))) { return Object.values(subDict); } return subDict; }; result = pseudoToList(result) as NestedDict; if ("" in result) { // User read the root of attributes return result[""] as NestedDict; } return result; } /** * Determines if the span was created by an instrumentor for LLM provider clients. * * @param span - OpenTelemetry span to check * @returns True if the span corresponds to an LLM provider call, false otherwise */ export function isLLMProviderCall(span: ReadableSpan): boolean { if (!span.instrumentationLibrary) return false; const spanInstrumentor = span.instrumentationLibrary.name; const instrumentorPrefixes = [ "@traceloop/instrumentation-openai", "@traceloop/instrumentation-anthropic", "@traceloop/instrumentation-cohere", ]; return ( span.kind === SpanKind.CLIENT && instrumentorPrefixes.some( (instrumentLibrary) => spanInstrumentor === instrumentLibrary, ) ); } /** * Checks if the span was created by the Humanloop SDK. * * @param span - OpenTelemetry span to check * @returns True if the span was created by the Humanloop SDK, false otherwise */ export function isHumanloopSpan(span: ReadableSpan): boolean { return span.name.startsWith(HUMANLOOP_SPAN_PREFIX); } /** * Converts the output to JSON if it's not already a string. * Throws an error if the output is not JSON serializable. * * @param func - Function whose output is being converted * @param output - Output to be converted * @returns JSON string representation of the output */ export function jsonifyIfNotString(func: Function, output: any): string { if (typeof output !== "string") { try { return JSON.stringify(output); } catch (error) { throw new TypeError( `Output of ${func.name} must be a string or JSON serializable`, ); } } return output; } humanloop-node-0.8.16/src/otel/index.ts000066400000000000000000000000701476356526200177610ustar00rootroot00000000000000export * from "./constants"; export * from "./helpers"; humanloop-node-0.8.16/src/otel/processor.ts000066400000000000000000000046721476356526200207050ustar00rootroot00000000000000import { Context } from "@opentelemetry/api"; import { ReadableSpan, Span, SpanExporter, SpanProcessor, } from "@opentelemetry/sdk-trace-node"; import { getDecoratorContext, getEvaluationContext, getTraceId } from "../context"; import { HUMANLOOP_FILE_KEY, HUMANLOOP_FILE_TYPE_KEY, HUMANLOOP_LOG_KEY, HUMANLOOP_PATH_KEY, } from "./constants"; import { isLLMProviderCall } from "./helpers"; export class HumanloopSpanProcessor implements SpanProcessor { private spanExporter: SpanExporter; constructor(exporter: SpanExporter) { this.spanExporter = exporter; } onStart(span: Span, _: Context): void { if (isLLMProviderCall(span)) { const decoratorContext = getDecoratorContext(); if (decoratorContext && decoratorContext.type === "prompt") { const { path, version } = decoratorContext; const template = version?.template; span = span.setAttribute(HUMANLOOP_PATH_KEY, path); span = span.setAttribute(HUMANLOOP_FILE_TYPE_KEY, "prompt"); if (template !== undefined) { span = span.setAttribute( `${HUMANLOOP_FILE_KEY}.template`, // @ts-ignore template, ); } } const traceId = getTraceId(); if (traceId) { span.setAttribute(`${HUMANLOOP_LOG_KEY}.trace_parent_id`, traceId); } } } onEnd(span: ReadableSpan): void { if (isLLMProviderCall(span)) { const decoratorContext = getDecoratorContext(); if (!decoratorContext || decoratorContext.type !== "prompt") { // User made a provider call outside a @prompt context, ignore the span return; } const evaluationContext = getEvaluationContext(); if (evaluationContext && evaluationContext.path === decoratorContext.path) { // User made a provider call inside an evaluation context // Ignore the span, evaluations.run() will use the output // of the decorated function to create the Log return; } } this.spanExporter.export([span], () => {}); } async shutdown(): Promise { return this.spanExporter.shutdown(); } async forceFlush(): Promise {} } humanloop-node-0.8.16/src/otel/proto/000077500000000000000000000000001476356526200174505ustar00rootroot00000000000000humanloop-node-0.8.16/src/otel/proto/common.ts000066400000000000000000000013661476356526200213160ustar00rootroot00000000000000// NOTE: Machine-translated from https://github.com/open-telemetry/opentelemetry-proto/blob/main/opentelemetry/proto/common/v1/common.proto export type AnyValue = { stringValue?: string; boolValue?: boolean; intValue?: number; doubleValue?: number; arrayValue?: ArrayValue; kvlistValue?: KeyValueList; bytesValue?: Uint8Array; }; export type ArrayValue = { values: AnyValue[]; }; export type KeyValueList = { values: KeyValue[]; }; export type KeyValue = { key: string; value: AnyValue; }; export type InstrumentationScope = { name: string; // NOTE: deviation from spec - marking last three fields as optional version?: string; attributes?: KeyValue[]; droppedAttributesCount?: number; }; humanloop-node-0.8.16/src/otel/proto/resource.ts000066400000000000000000000007511476356526200216520ustar00rootroot00000000000000// NOTE: Machine-translated from https://github.com/open-telemetry/opentelemetry-proto/blob/main/opentelemetry/proto/resource/v1/resource.proto import { KeyValue } from "./common"; export interface Resource { /** * Set of attributes that describe the resource. * Attribute keys MUST be unique. */ attributes: KeyValue[]; /** * Number of dropped attributes. If the value is 0, then no attributes were dropped. */ droppedAttributesCount: number; } humanloop-node-0.8.16/src/otel/proto/trace.ts000066400000000000000000000032311476356526200211150ustar00rootroot00000000000000// NOTE: Machine-translated from https://github.com/open-telemetry/opentelemetry-proto/blob/main/opentelemetry/proto/trace/v1/trace.proto import { InstrumentationScope, KeyValue } from "./common"; import { Resource } from "./resource"; export interface TracesData { resourceSpans: ResourceSpans[]; } export interface ResourceSpans { resource?: Resource; scopeSpans: ScopeSpans[]; schemaUrl?: string; } export interface ScopeSpans { scope?: InstrumentationScope; spans: Span[]; schemaUrl?: string; } export interface Span { traceId: string; spanId: string; traceState: string; parentSpanId?: string; flags?: number; name: string; kind: SpanKind; startTimeUnixNano: number; endTimeUnixNano: number; attributes: KeyValue[]; droppedAttributesCount: number; events: Event[]; droppedEventsCount: number; links: Link[]; droppedLinksCount: number; status?: Status; } export enum SpanKind { INTERNAL = 0, SERVER = 1, CLIENT = 2, PRODUCER = 3, CONSUMER = 4, } export interface Event { timeUnixNano: number; name: string; attributes: KeyValue[]; droppedAttributesCount: number; } export interface Link { traceId: string; spanId: string; traceState: string; attributes: KeyValue[]; droppedAttributesCount: number; flags?: number; } export interface Status { message: string; code: StatusCode; } export enum StatusCode { UNSET = 0, OK = 1, ERROR = 2, } export enum SpanFlags { DO_NOT_USE = 0, TRACE_FLAGS_MASK = 0x000000ff, CONTEXT_HAS_IS_REMOTE_MASK = 0x00000100, CONTEXT_IS_REMOTE_MASK = 0x00000200, } humanloop-node-0.8.16/src/overload.ts000066400000000000000000000103461476356526200175310ustar00rootroot00000000000000import { CreateEvaluatorLogRequest, FlowLogRequest, PromptCallResponse, PromptLogRequest, ToolLogRequest, } from "./api"; import { Evaluators } from "./api/resources/evaluators/client/Client"; import { Flows } from "./api/resources/flows/client/Client"; import { Prompts } from "./api/resources/prompts/client/Client"; import { Tools } from "./api/resources/tools/client/Client"; import { getDecoratorContext, getEvaluationContext, getTraceId } from "./context"; import { HumanloopRuntimeError } from "./error"; export function overloadLog( client: T, ): T { const originalLog = client.log.bind(client); const _overloadedLog = async ( request: T extends Flows ? FlowLogRequest : T extends Prompts ? PromptLogRequest : T extends Tools ? ToolLogRequest : T extends Evaluators ? CreateEvaluatorLogRequest : never, options?: T extends Flows ? Flows.RequestOptions : T extends Prompts ? Prompts.RequestOptions : T extends Tools ? Tools.RequestOptions : T extends Evaluators ? Evaluators.RequestOptions : never, ) => { const traceId = getTraceId(); if (traceId !== undefined && client instanceof Flows) { const context = getDecoratorContext(); if (context === undefined) { throw new HumanloopRuntimeError( "Internal error: trace_id context is set outside a decorator context.", ); } throw new HumanloopRuntimeError( `Using flows.log() is not allowed: Flow decorator for File ${context.path} manages the tracing and trace completion.`, ); } if (traceId !== undefined) { if ("traceParentId" in request) { console.warn( "Ignoring trace_parent_id argument: the Flow decorator manages tracing.", ); } request = { ...request, traceParentId: traceId, }; } const evaluationContext = getEvaluationContext(); if (evaluationContext !== undefined) { const [kwargsEval, evalCallback] = evaluationContext.logArgsWithContext({ logArgs: request, forOtel: true, path: request.path, }); try { // @ts-ignore Polymorphism alarms the type checker const response = await originalLog(kwargsEval, options); if (evalCallback !== null) { await evalCallback(response.id); } return response; } catch (e) { throw new HumanloopRuntimeError(String(e)); } } else { try { // @ts-ignore Polymorphism alarms the type checker return await originalLog(request, options); } catch (e) { throw new HumanloopRuntimeError(String(e)); } } }; // @ts-ignore client.log = _overloadedLog.bind(client); // @ts-ignore client._log = originalLog.bind(client); return client; } export function overloadCall(client: Prompts): Prompts { const originalCall = client.call.bind(client); const _overloadedCall = async ( request: PromptLogRequest, options?: Prompts.RequestOptions, ): Promise => { const traceId = getTraceId(); if (traceId !== undefined) { if ("traceParentId" in request) { console.warn( "Ignoring trace_parent_id argument: the Flow decorator manages tracing.", ); } request = { ...request, traceParentId: traceId, }; } try { return await originalCall(request, options); } catch (e) { throw new HumanloopRuntimeError(String(e)); } }; client.call = _overloadedCall.bind(client); return client; } humanloop-node-0.8.16/src/serialization/000077500000000000000000000000001476356526200202175ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/index.ts000066400000000000000000000000661476356526200217000ustar00rootroot00000000000000export * from "./resources"; export * from "./types"; humanloop-node-0.8.16/src/serialization/resources/000077500000000000000000000000001476356526200222315ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/datasets/000077500000000000000000000000001476356526200240415ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/datasets/client/000077500000000000000000000000001476356526200253175ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/datasets/client/index.ts000066400000000000000000000001241476356526200267730ustar00rootroot00000000000000export * as listEnvironments from "./listEnvironments"; export * from "./requests"; humanloop-node-0.8.16/src/serialization/resources/datasets/client/listEnvironments.ts000066400000000000000000000011161476356526200312510ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../index"; import * as Humanloop from "../../../../api/index"; import * as core from "../../../../core"; import { FileEnvironmentResponse } from "../../../types/FileEnvironmentResponse"; export const Response: core.serialization.Schema< serializers.datasets.listEnvironments.Response.Raw, Humanloop.FileEnvironmentResponse[] > = core.serialization.list(FileEnvironmentResponse); export declare namespace Response { export type Raw = FileEnvironmentResponse.Raw[]; } humanloop-node-0.8.16/src/serialization/resources/datasets/client/requests/000077500000000000000000000000001476356526200271725ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/datasets/client/requests/DatasetRequest.ts000066400000000000000000000025111476356526200324770ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../../index"; import * as Humanloop from "../../../../../api/index"; import * as core from "../../../../../core"; import { CreateDatapointRequest } from "../../../../types/CreateDatapointRequest"; import { UpdateDatesetAction } from "../../../../types/UpdateDatesetAction"; export const DatasetRequest: core.serialization.Schema< serializers.DatasetRequest.Raw, Omit > = core.serialization.object({ path: core.serialization.string().optional(), id: core.serialization.string().optional(), datapoints: core.serialization.list(CreateDatapointRequest), action: UpdateDatesetAction.optional(), attributes: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), commitMessage: core.serialization.property("commit_message", core.serialization.string().optional()), }); export declare namespace DatasetRequest { export interface Raw { path?: string | null; id?: string | null; datapoints: CreateDatapointRequest.Raw[]; action?: UpdateDatesetAction.Raw | null; attributes?: Record | null; commit_message?: string | null; } } humanloop-node-0.8.16/src/serialization/resources/datasets/client/requests/UpdateDatasetRequest.ts000066400000000000000000000012041476356526200336400ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../../index"; import * as Humanloop from "../../../../../api/index"; import * as core from "../../../../../core"; export const UpdateDatasetRequest: core.serialization.Schema< serializers.UpdateDatasetRequest.Raw, Humanloop.UpdateDatasetRequest > = core.serialization.object({ path: core.serialization.string().optional(), name: core.serialization.string().optional(), }); export declare namespace UpdateDatasetRequest { export interface Raw { path?: string | null; name?: string | null; } } humanloop-node-0.8.16/src/serialization/resources/datasets/client/requests/index.ts000066400000000000000000000001621476356526200306500ustar00rootroot00000000000000export { DatasetRequest } from "./DatasetRequest"; export { UpdateDatasetRequest } from "./UpdateDatasetRequest"; humanloop-node-0.8.16/src/serialization/resources/datasets/index.ts000066400000000000000000000000321476356526200255130ustar00rootroot00000000000000export * from "./client"; humanloop-node-0.8.16/src/serialization/resources/directories/000077500000000000000000000000001476356526200245455ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/directories/client/000077500000000000000000000000001476356526200260235ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/directories/client/index.ts000066400000000000000000000000741476356526200275030ustar00rootroot00000000000000export * as list from "./list"; export * from "./requests"; humanloop-node-0.8.16/src/serialization/resources/directories/client/list.ts000066400000000000000000000010471476356526200273500ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../index"; import * as Humanloop from "../../../../api/index"; import * as core from "../../../../core"; import { DirectoryResponse } from "../../../types/DirectoryResponse"; export const Response: core.serialization.Schema< serializers.directories.list.Response.Raw, Humanloop.DirectoryResponse[] > = core.serialization.list(DirectoryResponse); export declare namespace Response { export type Raw = DirectoryResponse.Raw[]; } humanloop-node-0.8.16/src/serialization/resources/directories/client/requests/000077500000000000000000000000001476356526200276765ustar00rootroot00000000000000CreateDirectoryRequest.ts000066400000000000000000000014171476356526200346330ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/directories/client/requests/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../../index"; import * as Humanloop from "../../../../../api/index"; import * as core from "../../../../../core"; export const CreateDirectoryRequest: core.serialization.Schema< serializers.CreateDirectoryRequest.Raw, Humanloop.CreateDirectoryRequest > = core.serialization.object({ name: core.serialization.string().optional(), parentId: core.serialization.property("parent_id", core.serialization.string().optional()), path: core.serialization.string().optional(), }); export declare namespace CreateDirectoryRequest { export interface Raw { name?: string | null; parent_id?: string | null; path?: string | null; } } UpdateDirectoryRequest.ts000066400000000000000000000014171476356526200346520ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/directories/client/requests/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../../index"; import * as Humanloop from "../../../../../api/index"; import * as core from "../../../../../core"; export const UpdateDirectoryRequest: core.serialization.Schema< serializers.UpdateDirectoryRequest.Raw, Humanloop.UpdateDirectoryRequest > = core.serialization.object({ name: core.serialization.string().optional(), parentId: core.serialization.property("parent_id", core.serialization.string().optional()), path: core.serialization.string().optional(), }); export declare namespace UpdateDirectoryRequest { export interface Raw { name?: string | null; parent_id?: string | null; path?: string | null; } } humanloop-node-0.8.16/src/serialization/resources/directories/client/requests/index.ts000066400000000000000000000002061476356526200313530ustar00rootroot00000000000000export { CreateDirectoryRequest } from "./CreateDirectoryRequest"; export { UpdateDirectoryRequest } from "./UpdateDirectoryRequest"; humanloop-node-0.8.16/src/serialization/resources/directories/index.ts000066400000000000000000000000321476356526200262170ustar00rootroot00000000000000export * from "./client"; humanloop-node-0.8.16/src/serialization/resources/evaluations/000077500000000000000000000000001476356526200245635ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/evaluations/client/000077500000000000000000000000001476356526200260415ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/evaluations/client/index.ts000066400000000000000000000000341476356526200275150ustar00rootroot00000000000000export * from "./requests"; humanloop-node-0.8.16/src/serialization/resources/evaluations/client/requests/000077500000000000000000000000001476356526200277145ustar00rootroot00000000000000AddEvaluatorsRequest.ts000066400000000000000000000013241476356526200343140ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/evaluations/client/requests/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../../index"; import * as Humanloop from "../../../../../api/index"; import * as core from "../../../../../core"; import { AddEvaluatorsRequestEvaluatorsItem } from "../../types/AddEvaluatorsRequestEvaluatorsItem"; export const AddEvaluatorsRequest: core.serialization.Schema< serializers.AddEvaluatorsRequest.Raw, Humanloop.AddEvaluatorsRequest > = core.serialization.object({ evaluators: core.serialization.list(AddEvaluatorsRequestEvaluatorsItem), }); export declare namespace AddEvaluatorsRequest { export interface Raw { evaluators: AddEvaluatorsRequestEvaluatorsItem.Raw[]; } } humanloop-node-0.8.16/src/serialization/resources/evaluations/client/requests/AddLogsToRunRequest.ts000066400000000000000000000011451476356526200341430ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../../index"; import * as Humanloop from "../../../../../api/index"; import * as core from "../../../../../core"; export const AddLogsToRunRequest: core.serialization.Schema< serializers.AddLogsToRunRequest.Raw, Humanloop.AddLogsToRunRequest > = core.serialization.object({ logIds: core.serialization.property("log_ids", core.serialization.list(core.serialization.string())), }); export declare namespace AddLogsToRunRequest { export interface Raw { log_ids: string[]; } } CreateEvaluationRequest.ts000066400000000000000000000017021476356526200350110ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/evaluations/client/requests/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../../index"; import * as Humanloop from "../../../../../api/index"; import * as core from "../../../../../core"; import { FileRequest } from "../../../../types/FileRequest"; import { CreateEvaluationRequestEvaluatorsItem } from "../../types/CreateEvaluationRequestEvaluatorsItem"; export const CreateEvaluationRequest: core.serialization.Schema< serializers.CreateEvaluationRequest.Raw, Humanloop.CreateEvaluationRequest > = core.serialization.object({ file: FileRequest.optional(), name: core.serialization.string().optional(), evaluators: core.serialization.list(CreateEvaluationRequestEvaluatorsItem), }); export declare namespace CreateEvaluationRequest { export interface Raw { file?: FileRequest.Raw | null; name?: string | null; evaluators: CreateEvaluationRequestEvaluatorsItem.Raw[]; } } humanloop-node-0.8.16/src/serialization/resources/evaluations/client/requests/CreateRunRequest.ts000066400000000000000000000021141476356526200335230ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../../index"; import * as Humanloop from "../../../../../api/index"; import * as core from "../../../../../core"; import { CreateRunRequestDataset } from "../../types/CreateRunRequestDataset"; import { CreateRunRequestVersion } from "../../types/CreateRunRequestVersion"; export const CreateRunRequest: core.serialization.Schema = core.serialization.object({ dataset: CreateRunRequestDataset.optional(), version: CreateRunRequestVersion.optional(), orchestrated: core.serialization.boolean().optional(), useExistingLogs: core.serialization.property("use_existing_logs", core.serialization.boolean().optional()), }); export declare namespace CreateRunRequest { export interface Raw { dataset?: CreateRunRequestDataset.Raw | null; version?: CreateRunRequestVersion.Raw | null; orchestrated?: boolean | null; use_existing_logs?: boolean | null; } } UpdateEvaluationRunRequest.ts000066400000000000000000000013621476356526200355170ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/evaluations/client/requests/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../../index"; import * as Humanloop from "../../../../../api/index"; import * as core from "../../../../../core"; import { EvaluationStatus } from "../../../../types/EvaluationStatus"; export const UpdateEvaluationRunRequest: core.serialization.Schema< serializers.UpdateEvaluationRunRequest.Raw, Humanloop.UpdateEvaluationRunRequest > = core.serialization.object({ control: core.serialization.boolean().optional(), status: EvaluationStatus.optional(), }); export declare namespace UpdateEvaluationRunRequest { export interface Raw { control?: boolean | null; status?: EvaluationStatus.Raw | null; } } humanloop-node-0.8.16/src/serialization/resources/evaluations/client/requests/index.ts000066400000000000000000000005031476356526200313710ustar00rootroot00000000000000export { CreateEvaluationRequest } from "./CreateEvaluationRequest"; export { AddEvaluatorsRequest } from "./AddEvaluatorsRequest"; export { CreateRunRequest } from "./CreateRunRequest"; export { UpdateEvaluationRunRequest } from "./UpdateEvaluationRunRequest"; export { AddLogsToRunRequest } from "./AddLogsToRunRequest"; humanloop-node-0.8.16/src/serialization/resources/evaluations/index.ts000066400000000000000000000000631476356526200262410ustar00rootroot00000000000000export * from "./types"; export * from "./client"; humanloop-node-0.8.16/src/serialization/resources/evaluations/types/000077500000000000000000000000001476356526200257275ustar00rootroot00000000000000AddEvaluatorsRequestEvaluatorsItem.ts000066400000000000000000000015411476356526200352150ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/evaluations/types/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../index"; import * as Humanloop from "../../../../api/index"; import * as core from "../../../../core"; import { EvaluatorVersionId } from "../../../types/EvaluatorVersionId"; import { EvaluatorFileId } from "../../../types/EvaluatorFileId"; import { EvaluatorFilePath } from "../../../types/EvaluatorFilePath"; export const AddEvaluatorsRequestEvaluatorsItem: core.serialization.Schema< serializers.AddEvaluatorsRequestEvaluatorsItem.Raw, Humanloop.AddEvaluatorsRequestEvaluatorsItem > = core.serialization.undiscriminatedUnion([EvaluatorVersionId, EvaluatorFileId, EvaluatorFilePath]); export declare namespace AddEvaluatorsRequestEvaluatorsItem { export type Raw = EvaluatorVersionId.Raw | EvaluatorFileId.Raw | EvaluatorFilePath.Raw; } CreateEvaluationRequestEvaluatorsItem.ts000066400000000000000000000015551476356526200357170ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/evaluations/types/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../index"; import * as Humanloop from "../../../../api/index"; import * as core from "../../../../core"; import { EvaluatorVersionId } from "../../../types/EvaluatorVersionId"; import { EvaluatorFileId } from "../../../types/EvaluatorFileId"; import { EvaluatorFilePath } from "../../../types/EvaluatorFilePath"; export const CreateEvaluationRequestEvaluatorsItem: core.serialization.Schema< serializers.CreateEvaluationRequestEvaluatorsItem.Raw, Humanloop.CreateEvaluationRequestEvaluatorsItem > = core.serialization.undiscriminatedUnion([EvaluatorVersionId, EvaluatorFileId, EvaluatorFilePath]); export declare namespace CreateEvaluationRequestEvaluatorsItem { export type Raw = EvaluatorVersionId.Raw | EvaluatorFileId.Raw | EvaluatorFilePath.Raw; } humanloop-node-0.8.16/src/serialization/resources/evaluations/types/CreateRunRequestDataset.ts000066400000000000000000000013111476356526200330420ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../index"; import * as Humanloop from "../../../../api/index"; import * as core from "../../../../core"; import { VersionId } from "../../../types/VersionId"; import { FileId } from "../../../types/FileId"; import { FilePath } from "../../../types/FilePath"; export const CreateRunRequestDataset: core.serialization.Schema< serializers.CreateRunRequestDataset.Raw, Humanloop.CreateRunRequestDataset > = core.serialization.undiscriminatedUnion([VersionId, FileId, FilePath]); export declare namespace CreateRunRequestDataset { export type Raw = VersionId.Raw | FileId.Raw | FilePath.Raw; } humanloop-node-0.8.16/src/serialization/resources/evaluations/types/CreateRunRequestVersion.ts000066400000000000000000000013111476356526200331020ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../index"; import * as Humanloop from "../../../../api/index"; import * as core from "../../../../core"; import { VersionId } from "../../../types/VersionId"; import { FileId } from "../../../types/FileId"; import { FilePath } from "../../../types/FilePath"; export const CreateRunRequestVersion: core.serialization.Schema< serializers.CreateRunRequestVersion.Raw, Humanloop.CreateRunRequestVersion > = core.serialization.undiscriminatedUnion([VersionId, FileId, FilePath]); export declare namespace CreateRunRequestVersion { export type Raw = VersionId.Raw | FileId.Raw | FilePath.Raw; } humanloop-node-0.8.16/src/serialization/resources/evaluations/types/index.ts000066400000000000000000000003051476356526200274040ustar00rootroot00000000000000export * from "./CreateEvaluationRequestEvaluatorsItem"; export * from "./AddEvaluatorsRequestEvaluatorsItem"; export * from "./CreateRunRequestDataset"; export * from "./CreateRunRequestVersion"; humanloop-node-0.8.16/src/serialization/resources/evaluators/000077500000000000000000000000001476356526200244165ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/evaluators/client/000077500000000000000000000000001476356526200256745ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/evaluators/client/index.ts000066400000000000000000000001241476356526200273500ustar00rootroot00000000000000export * as listEnvironments from "./listEnvironments"; export * from "./requests"; humanloop-node-0.8.16/src/serialization/resources/evaluators/client/listEnvironments.ts000066400000000000000000000011201476356526200316210ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../index"; import * as Humanloop from "../../../../api/index"; import * as core from "../../../../core"; import { FileEnvironmentResponse } from "../../../types/FileEnvironmentResponse"; export const Response: core.serialization.Schema< serializers.evaluators.listEnvironments.Response.Raw, Humanloop.FileEnvironmentResponse[] > = core.serialization.list(FileEnvironmentResponse); export declare namespace Response { export type Raw = FileEnvironmentResponse.Raw[]; } humanloop-node-0.8.16/src/serialization/resources/evaluators/client/requests/000077500000000000000000000000001476356526200275475ustar00rootroot00000000000000CreateEvaluatorLogRequest.ts000066400000000000000000000102201476356526200351340ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/evaluators/client/requests/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../../index"; import * as Humanloop from "../../../../../api/index"; import * as core from "../../../../../core"; import { LogStatus } from "../../../../types/LogStatus"; import { ChatMessage } from "../../../../types/ChatMessage"; import { CreateEvaluatorLogRequestJudgment } from "../../types/CreateEvaluatorLogRequestJudgment"; import { CreateEvaluatorLogRequestSpec } from "../../types/CreateEvaluatorLogRequestSpec"; export const CreateEvaluatorLogRequest: core.serialization.Schema< serializers.CreateEvaluatorLogRequest.Raw, Omit > = core.serialization.object({ path: core.serialization.string().optional(), id: core.serialization.string().optional(), startTime: core.serialization.property("start_time", core.serialization.date().optional()), endTime: core.serialization.property("end_time", core.serialization.date().optional()), output: core.serialization.string().optional(), createdAt: core.serialization.property("created_at", core.serialization.date().optional()), error: core.serialization.string().optional(), providerLatency: core.serialization.property("provider_latency", core.serialization.number().optional()), stdout: core.serialization.string().optional(), providerRequest: core.serialization.property( "provider_request", core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), ), providerResponse: core.serialization.property( "provider_response", core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), ), inputs: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), source: core.serialization.string().optional(), metadata: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), logStatus: core.serialization.property("log_status", LogStatus.optional()), parentId: core.serialization.property("parent_id", core.serialization.string()), sourceDatapointId: core.serialization.property("source_datapoint_id", core.serialization.string().optional()), traceParentId: core.serialization.property("trace_parent_id", core.serialization.string().optional()), user: core.serialization.string().optional(), createEvaluatorLogRequestEnvironment: core.serialization.property( "environment", core.serialization.string().optional(), ), save: core.serialization.boolean().optional(), logId: core.serialization.property("log_id", core.serialization.string().optional()), outputMessage: core.serialization.property("output_message", ChatMessage.optional()), judgment: CreateEvaluatorLogRequestJudgment.optional(), markedCompleted: core.serialization.property("marked_completed", core.serialization.boolean().optional()), spec: CreateEvaluatorLogRequestSpec.optional(), }); export declare namespace CreateEvaluatorLogRequest { export interface Raw { path?: string | null; id?: string | null; start_time?: string | null; end_time?: string | null; output?: string | null; created_at?: string | null; error?: string | null; provider_latency?: number | null; stdout?: string | null; provider_request?: Record | null; provider_response?: Record | null; inputs?: Record | null; source?: string | null; metadata?: Record | null; log_status?: LogStatus.Raw | null; parent_id: string; source_datapoint_id?: string | null; trace_parent_id?: string | null; user?: string | null; environment?: string | null; save?: boolean | null; log_id?: string | null; output_message?: ChatMessage.Raw | null; judgment?: CreateEvaluatorLogRequestJudgment.Raw | null; marked_completed?: boolean | null; spec?: CreateEvaluatorLogRequestSpec.Raw | null; } } humanloop-node-0.8.16/src/serialization/resources/evaluators/client/requests/EvaluatorRequest.ts000066400000000000000000000016411476356526200334340ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../../index"; import * as Humanloop from "../../../../../api/index"; import * as core from "../../../../../core"; import { EvaluatorRequestSpec } from "../../types/EvaluatorRequestSpec"; export const EvaluatorRequest: core.serialization.Schema = core.serialization.object({ path: core.serialization.string().optional(), id: core.serialization.string().optional(), commitMessage: core.serialization.property("commit_message", core.serialization.string().optional()), spec: EvaluatorRequestSpec, }); export declare namespace EvaluatorRequest { export interface Raw { path?: string | null; id?: string | null; commit_message?: string | null; spec: EvaluatorRequestSpec.Raw; } } UpdateEvaluatorRequest.ts000066400000000000000000000012141476356526200345140ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/evaluators/client/requests/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../../index"; import * as Humanloop from "../../../../../api/index"; import * as core from "../../../../../core"; export const UpdateEvaluatorRequest: core.serialization.Schema< serializers.UpdateEvaluatorRequest.Raw, Humanloop.UpdateEvaluatorRequest > = core.serialization.object({ path: core.serialization.string().optional(), name: core.serialization.string().optional(), }); export declare namespace UpdateEvaluatorRequest { export interface Raw { path?: string | null; name?: string | null; } } humanloop-node-0.8.16/src/serialization/resources/evaluators/client/requests/index.ts000066400000000000000000000003031476356526200312220ustar00rootroot00000000000000export { CreateEvaluatorLogRequest } from "./CreateEvaluatorLogRequest"; export { EvaluatorRequest } from "./EvaluatorRequest"; export { UpdateEvaluatorRequest } from "./UpdateEvaluatorRequest"; humanloop-node-0.8.16/src/serialization/resources/evaluators/index.ts000066400000000000000000000000631476356526200260740ustar00rootroot00000000000000export * from "./types"; export * from "./client"; humanloop-node-0.8.16/src/serialization/resources/evaluators/types/000077500000000000000000000000001476356526200255625ustar00rootroot00000000000000CreateEvaluatorLogRequestJudgment.ts000066400000000000000000000013261476356526200346540ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/evaluators/types/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../index"; import * as Humanloop from "../../../../api/index"; import * as core from "../../../../core"; export const CreateEvaluatorLogRequestJudgment: core.serialization.Schema< serializers.CreateEvaluatorLogRequestJudgment.Raw, Humanloop.CreateEvaluatorLogRequestJudgment > = core.serialization.undiscriminatedUnion([ core.serialization.boolean(), core.serialization.string(), core.serialization.list(core.serialization.string()), core.serialization.number(), ]); export declare namespace CreateEvaluatorLogRequestJudgment { export type Raw = boolean | string | string[] | number; } humanloop-node-0.8.16/src/serialization/resources/evaluators/types/CreateEvaluatorLogRequestSpec.ts000066400000000000000000000020671476356526200340530ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../index"; import * as Humanloop from "../../../../api/index"; import * as core from "../../../../core"; import { LlmEvaluatorRequest } from "../../../types/LlmEvaluatorRequest"; import { CodeEvaluatorRequest } from "../../../types/CodeEvaluatorRequest"; import { HumanEvaluatorRequest } from "../../../types/HumanEvaluatorRequest"; import { ExternalEvaluatorRequest } from "../../../types/ExternalEvaluatorRequest"; export const CreateEvaluatorLogRequestSpec: core.serialization.Schema< serializers.CreateEvaluatorLogRequestSpec.Raw, Humanloop.CreateEvaluatorLogRequestSpec > = core.serialization.undiscriminatedUnion([ LlmEvaluatorRequest, CodeEvaluatorRequest, HumanEvaluatorRequest, ExternalEvaluatorRequest, ]); export declare namespace CreateEvaluatorLogRequestSpec { export type Raw = | LlmEvaluatorRequest.Raw | CodeEvaluatorRequest.Raw | HumanEvaluatorRequest.Raw | ExternalEvaluatorRequest.Raw; } humanloop-node-0.8.16/src/serialization/resources/evaluators/types/EvaluatorRequestSpec.ts000066400000000000000000000020231476356526200322550ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../index"; import * as Humanloop from "../../../../api/index"; import * as core from "../../../../core"; import { LlmEvaluatorRequest } from "../../../types/LlmEvaluatorRequest"; import { CodeEvaluatorRequest } from "../../../types/CodeEvaluatorRequest"; import { HumanEvaluatorRequest } from "../../../types/HumanEvaluatorRequest"; import { ExternalEvaluatorRequest } from "../../../types/ExternalEvaluatorRequest"; export const EvaluatorRequestSpec: core.serialization.Schema< serializers.EvaluatorRequestSpec.Raw, Humanloop.EvaluatorRequestSpec > = core.serialization.undiscriminatedUnion([ LlmEvaluatorRequest, CodeEvaluatorRequest, HumanEvaluatorRequest, ExternalEvaluatorRequest, ]); export declare namespace EvaluatorRequestSpec { export type Raw = | LlmEvaluatorRequest.Raw | CodeEvaluatorRequest.Raw | HumanEvaluatorRequest.Raw | ExternalEvaluatorRequest.Raw; } humanloop-node-0.8.16/src/serialization/resources/evaluators/types/index.ts000066400000000000000000000002161476356526200272400ustar00rootroot00000000000000export * from "./CreateEvaluatorLogRequestJudgment"; export * from "./CreateEvaluatorLogRequestSpec"; export * from "./EvaluatorRequestSpec"; humanloop-node-0.8.16/src/serialization/resources/files/000077500000000000000000000000001476356526200233335ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/files/client/000077500000000000000000000000001476356526200246115ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/files/client/index.ts000066400000000000000000000000341476356526200262650ustar00rootroot00000000000000export * from "./requests"; humanloop-node-0.8.16/src/serialization/resources/files/client/requests/000077500000000000000000000000001476356526200264645ustar00rootroot00000000000000BodyRetrieveByPathFilesRetrieveByPathPost.ts000066400000000000000000000012121476356526200371330ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/files/client/requests/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../../index"; import * as Humanloop from "../../../../../api/index"; import * as core from "../../../../../core"; export const BodyRetrieveByPathFilesRetrieveByPathPost: core.serialization.Schema< serializers.BodyRetrieveByPathFilesRetrieveByPathPost.Raw, Omit > = core.serialization.object({ path: core.serialization.string(), }); export declare namespace BodyRetrieveByPathFilesRetrieveByPathPost { export interface Raw { path: string; } } humanloop-node-0.8.16/src/serialization/resources/files/client/requests/index.ts000066400000000000000000000001511476356526200301400ustar00rootroot00000000000000export { BodyRetrieveByPathFilesRetrieveByPathPost } from "./BodyRetrieveByPathFilesRetrieveByPathPost"; humanloop-node-0.8.16/src/serialization/resources/files/index.ts000066400000000000000000000000631476356526200250110ustar00rootroot00000000000000export * from "./types"; export * from "./client"; humanloop-node-0.8.16/src/serialization/resources/files/types/000077500000000000000000000000001476356526200244775ustar00rootroot00000000000000RetrieveByPathFilesRetrieveByPathPostResponse.ts000066400000000000000000000021561476356526200360570ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/files/types/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../index"; import * as Humanloop from "../../../../api/index"; import * as core from "../../../../core"; import { DatasetResponse } from "../../../types/DatasetResponse"; export const RetrieveByPathFilesRetrieveByPathPostResponse: core.serialization.Schema< serializers.RetrieveByPathFilesRetrieveByPathPostResponse.Raw, Humanloop.RetrieveByPathFilesRetrieveByPathPostResponse > = core.serialization.undiscriminatedUnion([ core.serialization.lazyObject(() => serializers.PromptResponse), core.serialization.lazyObject(() => serializers.ToolResponse), DatasetResponse, core.serialization.lazyObject(() => serializers.EvaluatorResponse), core.serialization.lazyObject(() => serializers.FlowResponse), ]); export declare namespace RetrieveByPathFilesRetrieveByPathPostResponse { export type Raw = | serializers.PromptResponse.Raw | serializers.ToolResponse.Raw | DatasetResponse.Raw | serializers.EvaluatorResponse.Raw | serializers.FlowResponse.Raw; } humanloop-node-0.8.16/src/serialization/resources/files/types/index.ts000066400000000000000000000001011476356526200261460ustar00rootroot00000000000000export * from "./RetrieveByPathFilesRetrieveByPathPostResponse"; humanloop-node-0.8.16/src/serialization/resources/flows/000077500000000000000000000000001476356526200233635ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/flows/client/000077500000000000000000000000001476356526200246415ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/flows/client/index.ts000066400000000000000000000001241476356526200263150ustar00rootroot00000000000000export * as listEnvironments from "./listEnvironments"; export * from "./requests"; humanloop-node-0.8.16/src/serialization/resources/flows/client/listEnvironments.ts000066400000000000000000000011131476356526200305700ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../index"; import * as Humanloop from "../../../../api/index"; import * as core from "../../../../core"; import { FileEnvironmentResponse } from "../../../types/FileEnvironmentResponse"; export const Response: core.serialization.Schema< serializers.flows.listEnvironments.Response.Raw, Humanloop.FileEnvironmentResponse[] > = core.serialization.list(FileEnvironmentResponse); export declare namespace Response { export type Raw = FileEnvironmentResponse.Raw[]; } humanloop-node-0.8.16/src/serialization/resources/flows/client/requests/000077500000000000000000000000001476356526200265145ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/flows/client/requests/FlowLogRequest.ts000066400000000000000000000074241476356526200320150ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../../index"; import * as Humanloop from "../../../../../api/index"; import * as core from "../../../../../core"; import { ChatMessage } from "../../../../types/ChatMessage"; import { LogStatus } from "../../../../types/LogStatus"; import { FlowKernelRequest } from "../../../../types/FlowKernelRequest"; export const FlowLogRequest: core.serialization.Schema< serializers.FlowLogRequest.Raw, Omit > = core.serialization.object({ messages: core.serialization.list(ChatMessage).optional(), outputMessage: core.serialization.property("output_message", ChatMessage.optional()), runId: core.serialization.property("run_id", core.serialization.string().optional()), path: core.serialization.string().optional(), id: core.serialization.string().optional(), startTime: core.serialization.property("start_time", core.serialization.date().optional()), endTime: core.serialization.property("end_time", core.serialization.date().optional()), output: core.serialization.string().optional(), createdAt: core.serialization.property("created_at", core.serialization.date().optional()), error: core.serialization.string().optional(), providerLatency: core.serialization.property("provider_latency", core.serialization.number().optional()), stdout: core.serialization.string().optional(), providerRequest: core.serialization.property( "provider_request", core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), ), providerResponse: core.serialization.property( "provider_response", core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), ), inputs: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), source: core.serialization.string().optional(), metadata: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), logStatus: core.serialization.property("log_status", LogStatus.optional()), sourceDatapointId: core.serialization.property("source_datapoint_id", core.serialization.string().optional()), traceParentId: core.serialization.property("trace_parent_id", core.serialization.string().optional()), user: core.serialization.string().optional(), flowLogRequestEnvironment: core.serialization.property("environment", core.serialization.string().optional()), save: core.serialization.boolean().optional(), logId: core.serialization.property("log_id", core.serialization.string().optional()), flow: FlowKernelRequest.optional(), }); export declare namespace FlowLogRequest { export interface Raw { messages?: ChatMessage.Raw[] | null; output_message?: ChatMessage.Raw | null; run_id?: string | null; path?: string | null; id?: string | null; start_time?: string | null; end_time?: string | null; output?: string | null; created_at?: string | null; error?: string | null; provider_latency?: number | null; stdout?: string | null; provider_request?: Record | null; provider_response?: Record | null; inputs?: Record | null; source?: string | null; metadata?: Record | null; log_status?: LogStatus.Raw | null; source_datapoint_id?: string | null; trace_parent_id?: string | null; user?: string | null; environment?: string | null; save?: boolean | null; log_id?: string | null; flow?: FlowKernelRequest.Raw | null; } } humanloop-node-0.8.16/src/serialization/resources/flows/client/requests/FlowRequest.ts000066400000000000000000000016171476356526200313510ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../../index"; import * as Humanloop from "../../../../../api/index"; import * as core from "../../../../../core"; export const FlowRequest: core.serialization.Schema = core.serialization.object({ path: core.serialization.string().optional(), id: core.serialization.string().optional(), attributes: core.serialization.record(core.serialization.string(), core.serialization.unknown()), commitMessage: core.serialization.property("commit_message", core.serialization.string().optional()), }); export declare namespace FlowRequest { export interface Raw { path?: string | null; id?: string | null; attributes: Record; commit_message?: string | null; } } humanloop-node-0.8.16/src/serialization/resources/flows/client/requests/UpdateFlowLogRequest.ts000066400000000000000000000024201476356526200331470ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../../index"; import * as Humanloop from "../../../../../api/index"; import * as core from "../../../../../core"; import { ChatMessage } from "../../../../types/ChatMessage"; import { LogStatus } from "../../../../types/LogStatus"; export const UpdateFlowLogRequest: core.serialization.Schema< serializers.UpdateFlowLogRequest.Raw, Humanloop.UpdateFlowLogRequest > = core.serialization.object({ messages: core.serialization.list(ChatMessage).optional(), outputMessage: core.serialization.property("output_message", ChatMessage.optional()), inputs: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), output: core.serialization.string().optional(), error: core.serialization.string().optional(), logStatus: core.serialization.property("log_status", LogStatus.optional()), }); export declare namespace UpdateFlowLogRequest { export interface Raw { messages?: ChatMessage.Raw[] | null; output_message?: ChatMessage.Raw | null; inputs?: Record | null; output?: string | null; error?: string | null; log_status?: LogStatus.Raw | null; } } humanloop-node-0.8.16/src/serialization/resources/flows/client/requests/UpdateFlowRequest.ts000066400000000000000000000014041476356526200325060ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../../index"; import * as Humanloop from "../../../../../api/index"; import * as core from "../../../../../core"; export const UpdateFlowRequest: core.serialization.Schema< serializers.UpdateFlowRequest.Raw, Humanloop.UpdateFlowRequest > = core.serialization.object({ path: core.serialization.string().optional(), name: core.serialization.string().optional(), directoryId: core.serialization.property("directory_id", core.serialization.string().optional()), }); export declare namespace UpdateFlowRequest { export interface Raw { path?: string | null; name?: string | null; directory_id?: string | null; } } humanloop-node-0.8.16/src/serialization/resources/flows/client/requests/index.ts000066400000000000000000000003301476356526200301670ustar00rootroot00000000000000export { FlowLogRequest } from "./FlowLogRequest"; export { UpdateFlowLogRequest } from "./UpdateFlowLogRequest"; export { UpdateFlowRequest } from "./UpdateFlowRequest"; export { FlowRequest } from "./FlowRequest"; humanloop-node-0.8.16/src/serialization/resources/flows/index.ts000066400000000000000000000000321476356526200250350ustar00rootroot00000000000000export * from "./client"; humanloop-node-0.8.16/src/serialization/resources/index.ts000066400000000000000000000014431476356526200237120ustar00rootroot00000000000000export * as prompts from "./prompts"; export * from "./prompts/types"; export * as evaluators from "./evaluators"; export * from "./evaluators/types"; export * as files from "./files"; export * from "./files/types"; export * as evaluations from "./evaluations"; export * from "./evaluations/types"; export * as tools from "./tools"; export * as datasets from "./datasets"; export * as flows from "./flows"; export * as directories from "./directories"; export * from "./prompts/client/requests"; export * from "./tools/client/requests"; export * from "./datasets/client/requests"; export * from "./evaluators/client/requests"; export * from "./flows/client/requests"; export * from "./directories/client/requests"; export * from "./files/client/requests"; export * from "./evaluations/client/requests"; humanloop-node-0.8.16/src/serialization/resources/prompts/000077500000000000000000000000001476356526200237355ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/prompts/client/000077500000000000000000000000001476356526200252135ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/prompts/client/index.ts000066400000000000000000000002141476356526200266670ustar00rootroot00000000000000export * as populateTemplate from "./populateTemplate"; export * as listEnvironments from "./listEnvironments"; export * from "./requests"; humanloop-node-0.8.16/src/serialization/resources/prompts/client/listEnvironments.ts000066400000000000000000000011151476356526200311440ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../index"; import * as Humanloop from "../../../../api/index"; import * as core from "../../../../core"; import { FileEnvironmentResponse } from "../../../types/FileEnvironmentResponse"; export const Response: core.serialization.Schema< serializers.prompts.listEnvironments.Response.Raw, Humanloop.FileEnvironmentResponse[] > = core.serialization.list(FileEnvironmentResponse); export declare namespace Response { export type Raw = FileEnvironmentResponse.Raw[]; } humanloop-node-0.8.16/src/serialization/resources/prompts/client/populateTemplate.ts000066400000000000000000000007261476356526200311150ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../index"; import * as core from "../../../../core"; export const Request: core.serialization.Schema< serializers.prompts.populateTemplate.Request.Raw, Record > = core.serialization.record(core.serialization.string(), core.serialization.unknown()); export declare namespace Request { export type Raw = Record; } humanloop-node-0.8.16/src/serialization/resources/prompts/client/requests/000077500000000000000000000000001476356526200270665ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/prompts/client/requests/PromptLogRequest.ts000066400000000000000000000115661476356526200327430ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../../index"; import * as Humanloop from "../../../../../api/index"; import * as core from "../../../../../core"; import { ChatMessage } from "../../../../types/ChatMessage"; import { PromptLogRequestToolChoice } from "../../types/PromptLogRequestToolChoice"; import { PromptKernelRequest } from "../../../../types/PromptKernelRequest"; import { LogStatus } from "../../../../types/LogStatus"; export const PromptLogRequest: core.serialization.Schema< serializers.PromptLogRequest.Raw, Omit > = core.serialization.object({ runId: core.serialization.property("run_id", core.serialization.string().optional()), path: core.serialization.string().optional(), id: core.serialization.string().optional(), outputMessage: core.serialization.property("output_message", ChatMessage.optional()), promptTokens: core.serialization.property("prompt_tokens", core.serialization.number().optional()), reasoningTokens: core.serialization.property("reasoning_tokens", core.serialization.number().optional()), outputTokens: core.serialization.property("output_tokens", core.serialization.number().optional()), promptCost: core.serialization.property("prompt_cost", core.serialization.number().optional()), outputCost: core.serialization.property("output_cost", core.serialization.number().optional()), finishReason: core.serialization.property("finish_reason", core.serialization.string().optional()), messages: core.serialization.list(ChatMessage).optional(), toolChoice: core.serialization.property("tool_choice", PromptLogRequestToolChoice.optional()), prompt: PromptKernelRequest.optional(), startTime: core.serialization.property("start_time", core.serialization.date().optional()), endTime: core.serialization.property("end_time", core.serialization.date().optional()), output: core.serialization.string().optional(), createdAt: core.serialization.property("created_at", core.serialization.date().optional()), error: core.serialization.string().optional(), providerLatency: core.serialization.property("provider_latency", core.serialization.number().optional()), stdout: core.serialization.string().optional(), providerRequest: core.serialization.property( "provider_request", core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), ), providerResponse: core.serialization.property( "provider_response", core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), ), inputs: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), source: core.serialization.string().optional(), metadata: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), logStatus: core.serialization.property("log_status", LogStatus.optional()), sourceDatapointId: core.serialization.property("source_datapoint_id", core.serialization.string().optional()), traceParentId: core.serialization.property("trace_parent_id", core.serialization.string().optional()), user: core.serialization.string().optional(), promptLogRequestEnvironment: core.serialization.property("environment", core.serialization.string().optional()), save: core.serialization.boolean().optional(), logId: core.serialization.property("log_id", core.serialization.string().optional()), }); export declare namespace PromptLogRequest { export interface Raw { run_id?: string | null; path?: string | null; id?: string | null; output_message?: ChatMessage.Raw | null; prompt_tokens?: number | null; reasoning_tokens?: number | null; output_tokens?: number | null; prompt_cost?: number | null; output_cost?: number | null; finish_reason?: string | null; messages?: ChatMessage.Raw[] | null; tool_choice?: PromptLogRequestToolChoice.Raw | null; prompt?: PromptKernelRequest.Raw | null; start_time?: string | null; end_time?: string | null; output?: string | null; created_at?: string | null; error?: string | null; provider_latency?: number | null; stdout?: string | null; provider_request?: Record | null; provider_response?: Record | null; inputs?: Record | null; source?: string | null; metadata?: Record | null; log_status?: LogStatus.Raw | null; source_datapoint_id?: string | null; trace_parent_id?: string | null; user?: string | null; environment?: string | null; save?: boolean | null; log_id?: string | null; } } humanloop-node-0.8.16/src/serialization/resources/prompts/client/requests/PromptLogUpdateRequest.ts000066400000000000000000000073311476356526200341010ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../../index"; import * as Humanloop from "../../../../../api/index"; import * as core from "../../../../../core"; import { ChatMessage } from "../../../../types/ChatMessage"; import { PromptLogUpdateRequestToolChoice } from "../../types/PromptLogUpdateRequestToolChoice"; import { LogStatus } from "../../../../types/LogStatus"; export const PromptLogUpdateRequest: core.serialization.Schema< serializers.PromptLogUpdateRequest.Raw, Humanloop.PromptLogUpdateRequest > = core.serialization.object({ outputMessage: core.serialization.property("output_message", ChatMessage.optional()), promptTokens: core.serialization.property("prompt_tokens", core.serialization.number().optional()), reasoningTokens: core.serialization.property("reasoning_tokens", core.serialization.number().optional()), outputTokens: core.serialization.property("output_tokens", core.serialization.number().optional()), promptCost: core.serialization.property("prompt_cost", core.serialization.number().optional()), outputCost: core.serialization.property("output_cost", core.serialization.number().optional()), finishReason: core.serialization.property("finish_reason", core.serialization.string().optional()), messages: core.serialization.list(ChatMessage).optional(), toolChoice: core.serialization.property("tool_choice", PromptLogUpdateRequestToolChoice.optional()), output: core.serialization.string().optional(), createdAt: core.serialization.property("created_at", core.serialization.date().optional()), error: core.serialization.string().optional(), providerLatency: core.serialization.property("provider_latency", core.serialization.number().optional()), stdout: core.serialization.string().optional(), providerRequest: core.serialization.property( "provider_request", core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), ), providerResponse: core.serialization.property( "provider_response", core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), ), inputs: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), source: core.serialization.string().optional(), metadata: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), startTime: core.serialization.property("start_time", core.serialization.date().optional()), endTime: core.serialization.property("end_time", core.serialization.date().optional()), logStatus: core.serialization.property("log_status", LogStatus.optional()), }); export declare namespace PromptLogUpdateRequest { export interface Raw { output_message?: ChatMessage.Raw | null; prompt_tokens?: number | null; reasoning_tokens?: number | null; output_tokens?: number | null; prompt_cost?: number | null; output_cost?: number | null; finish_reason?: string | null; messages?: ChatMessage.Raw[] | null; tool_choice?: PromptLogUpdateRequestToolChoice.Raw | null; output?: string | null; created_at?: string | null; error?: string | null; provider_latency?: number | null; stdout?: string | null; provider_request?: Record | null; provider_response?: Record | null; inputs?: Record | null; source?: string | null; metadata?: Record | null; start_time?: string | null; end_time?: string | null; log_status?: LogStatus.Raw | null; } } humanloop-node-0.8.16/src/serialization/resources/prompts/client/requests/PromptRequest.ts000066400000000000000000000075271476356526200323030ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../../index"; import * as Humanloop from "../../../../../api/index"; import * as core from "../../../../../core"; import { ModelEndpoints } from "../../../../types/ModelEndpoints"; import { PromptRequestTemplate } from "../../types/PromptRequestTemplate"; import { TemplateLanguage } from "../../../../types/TemplateLanguage"; import { ModelProviders } from "../../../../types/ModelProviders"; import { PromptRequestStop } from "../../types/PromptRequestStop"; import { ResponseFormat } from "../../../../types/ResponseFormat"; import { ReasoningEffort } from "../../../../types/ReasoningEffort"; import { ToolFunction } from "../../../../types/ToolFunction"; export const PromptRequest: core.serialization.Schema = core.serialization.object({ path: core.serialization.string().optional(), id: core.serialization.string().optional(), model: core.serialization.string(), endpoint: ModelEndpoints.optional(), template: PromptRequestTemplate.optional(), templateLanguage: core.serialization.property("template_language", TemplateLanguage.optional()), provider: ModelProviders.optional(), maxTokens: core.serialization.property("max_tokens", core.serialization.number().optional()), temperature: core.serialization.number().optional(), topP: core.serialization.property("top_p", core.serialization.number().optional()), stop: PromptRequestStop.optional(), presencePenalty: core.serialization.property("presence_penalty", core.serialization.number().optional()), frequencyPenalty: core.serialization.property("frequency_penalty", core.serialization.number().optional()), other: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), seed: core.serialization.number().optional(), responseFormat: core.serialization.property("response_format", ResponseFormat.optional()), reasoningEffort: core.serialization.property("reasoning_effort", ReasoningEffort.optional()), tools: core.serialization.list(ToolFunction).optional(), linkedTools: core.serialization.property( "linked_tools", core.serialization.list(core.serialization.string()).optional(), ), attributes: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), commitMessage: core.serialization.property("commit_message", core.serialization.string().optional()), description: core.serialization.string().optional(), tags: core.serialization.list(core.serialization.string()).optional(), readme: core.serialization.string().optional(), }); export declare namespace PromptRequest { export interface Raw { path?: string | null; id?: string | null; model: string; endpoint?: ModelEndpoints.Raw | null; template?: PromptRequestTemplate.Raw | null; template_language?: TemplateLanguage.Raw | null; provider?: ModelProviders.Raw | null; max_tokens?: number | null; temperature?: number | null; top_p?: number | null; stop?: PromptRequestStop.Raw | null; presence_penalty?: number | null; frequency_penalty?: number | null; other?: Record | null; seed?: number | null; response_format?: ResponseFormat.Raw | null; reasoning_effort?: ReasoningEffort.Raw | null; tools?: ToolFunction.Raw[] | null; linked_tools?: string[] | null; attributes?: Record | null; commit_message?: string | null; description?: string | null; tags?: string[] | null; readme?: string | null; } } humanloop-node-0.8.16/src/serialization/resources/prompts/client/requests/PromptsCallRequest.ts000066400000000000000000000067071476356526200332610ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../../index"; import * as Humanloop from "../../../../../api/index"; import * as core from "../../../../../core"; import { ChatMessage } from "../../../../types/ChatMessage"; import { PromptsCallRequestToolChoice } from "../../types/PromptsCallRequestToolChoice"; import { PromptKernelRequest } from "../../../../types/PromptKernelRequest"; import { LogStatus } from "../../../../types/LogStatus"; import { ProviderApiKeys } from "../../../../types/ProviderApiKeys"; export const PromptsCallRequest: core.serialization.Schema< serializers.PromptsCallRequest.Raw, Omit > = core.serialization.object({ path: core.serialization.string().optional(), id: core.serialization.string().optional(), messages: core.serialization.list(ChatMessage).optional(), toolChoice: core.serialization.property("tool_choice", PromptsCallRequestToolChoice.optional()), prompt: PromptKernelRequest.optional(), inputs: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), source: core.serialization.string().optional(), metadata: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), startTime: core.serialization.property("start_time", core.serialization.date().optional()), endTime: core.serialization.property("end_time", core.serialization.date().optional()), logStatus: core.serialization.property("log_status", LogStatus.optional()), sourceDatapointId: core.serialization.property("source_datapoint_id", core.serialization.string().optional()), traceParentId: core.serialization.property("trace_parent_id", core.serialization.string().optional()), user: core.serialization.string().optional(), promptsCallRequestEnvironment: core.serialization.property("environment", core.serialization.string().optional()), save: core.serialization.boolean().optional(), logId: core.serialization.property("log_id", core.serialization.string().optional()), providerApiKeys: core.serialization.property("provider_api_keys", ProviderApiKeys.optional()), numSamples: core.serialization.property("num_samples", core.serialization.number().optional()), returnInputs: core.serialization.property("return_inputs", core.serialization.boolean().optional()), logprobs: core.serialization.number().optional(), suffix: core.serialization.string().optional(), }); export declare namespace PromptsCallRequest { export interface Raw { path?: string | null; id?: string | null; messages?: ChatMessage.Raw[] | null; tool_choice?: PromptsCallRequestToolChoice.Raw | null; prompt?: PromptKernelRequest.Raw | null; inputs?: Record | null; source?: string | null; metadata?: Record | null; start_time?: string | null; end_time?: string | null; log_status?: LogStatus.Raw | null; source_datapoint_id?: string | null; trace_parent_id?: string | null; user?: string | null; environment?: string | null; save?: boolean | null; log_id?: string | null; provider_api_keys?: ProviderApiKeys.Raw | null; num_samples?: number | null; return_inputs?: boolean | null; logprobs?: number | null; suffix?: string | null; } } PromptsCallStreamRequest.ts000066400000000000000000000070241476356526200343470ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/prompts/client/requests/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../../index"; import * as Humanloop from "../../../../../api/index"; import * as core from "../../../../../core"; import { ChatMessage } from "../../../../types/ChatMessage"; import { PromptsCallStreamRequestToolChoice } from "../../types/PromptsCallStreamRequestToolChoice"; import { PromptKernelRequest } from "../../../../types/PromptKernelRequest"; import { LogStatus } from "../../../../types/LogStatus"; import { ProviderApiKeys } from "../../../../types/ProviderApiKeys"; export const PromptsCallStreamRequest: core.serialization.Schema< serializers.PromptsCallStreamRequest.Raw, Omit > = core.serialization.object({ path: core.serialization.string().optional(), id: core.serialization.string().optional(), messages: core.serialization.list(ChatMessage).optional(), toolChoice: core.serialization.property("tool_choice", PromptsCallStreamRequestToolChoice.optional()), prompt: PromptKernelRequest.optional(), inputs: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), source: core.serialization.string().optional(), metadata: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), startTime: core.serialization.property("start_time", core.serialization.date().optional()), endTime: core.serialization.property("end_time", core.serialization.date().optional()), logStatus: core.serialization.property("log_status", LogStatus.optional()), sourceDatapointId: core.serialization.property("source_datapoint_id", core.serialization.string().optional()), traceParentId: core.serialization.property("trace_parent_id", core.serialization.string().optional()), user: core.serialization.string().optional(), promptsCallStreamRequestEnvironment: core.serialization.property( "environment", core.serialization.string().optional(), ), save: core.serialization.boolean().optional(), logId: core.serialization.property("log_id", core.serialization.string().optional()), providerApiKeys: core.serialization.property("provider_api_keys", ProviderApiKeys.optional()), numSamples: core.serialization.property("num_samples", core.serialization.number().optional()), returnInputs: core.serialization.property("return_inputs", core.serialization.boolean().optional()), logprobs: core.serialization.number().optional(), suffix: core.serialization.string().optional(), }); export declare namespace PromptsCallStreamRequest { export interface Raw { path?: string | null; id?: string | null; messages?: ChatMessage.Raw[] | null; tool_choice?: PromptsCallStreamRequestToolChoice.Raw | null; prompt?: PromptKernelRequest.Raw | null; inputs?: Record | null; source?: string | null; metadata?: Record | null; start_time?: string | null; end_time?: string | null; log_status?: LogStatus.Raw | null; source_datapoint_id?: string | null; trace_parent_id?: string | null; user?: string | null; environment?: string | null; save?: boolean | null; log_id?: string | null; provider_api_keys?: ProviderApiKeys.Raw | null; num_samples?: number | null; return_inputs?: boolean | null; logprobs?: number | null; suffix?: string | null; } } humanloop-node-0.8.16/src/serialization/resources/prompts/client/requests/UpdatePromptRequest.ts000066400000000000000000000012001476356526200334240ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../../index"; import * as Humanloop from "../../../../../api/index"; import * as core from "../../../../../core"; export const UpdatePromptRequest: core.serialization.Schema< serializers.UpdatePromptRequest.Raw, Humanloop.UpdatePromptRequest > = core.serialization.object({ path: core.serialization.string().optional(), name: core.serialization.string().optional(), }); export declare namespace UpdatePromptRequest { export interface Raw { path?: string | null; name?: string | null; } } humanloop-node-0.8.16/src/serialization/resources/prompts/client/requests/index.ts000066400000000000000000000005521476356526200305470ustar00rootroot00000000000000export { PromptLogRequest } from "./PromptLogRequest"; export { PromptLogUpdateRequest } from "./PromptLogUpdateRequest"; export { PromptsCallStreamRequest } from "./PromptsCallStreamRequest"; export { PromptsCallRequest } from "./PromptsCallRequest"; export { PromptRequest } from "./PromptRequest"; export { UpdatePromptRequest } from "./UpdatePromptRequest"; humanloop-node-0.8.16/src/serialization/resources/prompts/index.ts000066400000000000000000000000631476356526200254130ustar00rootroot00000000000000export * from "./types"; export * from "./client"; humanloop-node-0.8.16/src/serialization/resources/prompts/types/000077500000000000000000000000001476356526200251015ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/prompts/types/PromptLogRequestToolChoice.ts000066400000000000000000000013731476356526200327220ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../index"; import * as Humanloop from "../../../../api/index"; import * as core from "../../../../core"; import { ToolChoice } from "../../../types/ToolChoice"; export const PromptLogRequestToolChoice: core.serialization.Schema< serializers.PromptLogRequestToolChoice.Raw, Humanloop.PromptLogRequestToolChoice > = core.serialization.undiscriminatedUnion([ core.serialization.stringLiteral("none"), core.serialization.stringLiteral("auto"), core.serialization.stringLiteral("required"), ToolChoice, ]); export declare namespace PromptLogRequestToolChoice { export type Raw = "none" | "auto" | "required" | ToolChoice.Raw; } humanloop-node-0.8.16/src/serialization/resources/prompts/types/PromptLogUpdateRequestToolChoice.ts000066400000000000000000000014231476356526200340610ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../index"; import * as Humanloop from "../../../../api/index"; import * as core from "../../../../core"; import { ToolChoice } from "../../../types/ToolChoice"; export const PromptLogUpdateRequestToolChoice: core.serialization.Schema< serializers.PromptLogUpdateRequestToolChoice.Raw, Humanloop.PromptLogUpdateRequestToolChoice > = core.serialization.undiscriminatedUnion([ core.serialization.stringLiteral("none"), core.serialization.stringLiteral("auto"), core.serialization.stringLiteral("required"), ToolChoice, ]); export declare namespace PromptLogUpdateRequestToolChoice { export type Raw = "none" | "auto" | "required" | ToolChoice.Raw; } humanloop-node-0.8.16/src/serialization/resources/prompts/types/PromptRequestStop.ts000066400000000000000000000011001476356526200311410ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../index"; import * as Humanloop from "../../../../api/index"; import * as core from "../../../../core"; export const PromptRequestStop: core.serialization.Schema< serializers.PromptRequestStop.Raw, Humanloop.PromptRequestStop > = core.serialization.undiscriminatedUnion([ core.serialization.string(), core.serialization.list(core.serialization.string()), ]); export declare namespace PromptRequestStop { export type Raw = string | string[]; } humanloop-node-0.8.16/src/serialization/resources/prompts/types/PromptRequestTemplate.ts000066400000000000000000000011701476356526200317760ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../index"; import * as Humanloop from "../../../../api/index"; import * as core from "../../../../core"; import { ChatMessage } from "../../../types/ChatMessage"; export const PromptRequestTemplate: core.serialization.Schema< serializers.PromptRequestTemplate.Raw, Humanloop.PromptRequestTemplate > = core.serialization.undiscriminatedUnion([core.serialization.string(), core.serialization.list(ChatMessage)]); export declare namespace PromptRequestTemplate { export type Raw = string | ChatMessage.Raw[]; } humanloop-node-0.8.16/src/serialization/resources/prompts/types/PromptsCallRequestToolChoice.ts000066400000000000000000000014031476356526200332310ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../index"; import * as Humanloop from "../../../../api/index"; import * as core from "../../../../core"; import { ToolChoice } from "../../../types/ToolChoice"; export const PromptsCallRequestToolChoice: core.serialization.Schema< serializers.PromptsCallRequestToolChoice.Raw, Humanloop.PromptsCallRequestToolChoice > = core.serialization.undiscriminatedUnion([ core.serialization.stringLiteral("none"), core.serialization.stringLiteral("auto"), core.serialization.stringLiteral("required"), ToolChoice, ]); export declare namespace PromptsCallRequestToolChoice { export type Raw = "none" | "auto" | "required" | ToolChoice.Raw; } PromptsCallStreamRequestToolChoice.ts000066400000000000000000000014331476356526200343310ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/prompts/types/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../index"; import * as Humanloop from "../../../../api/index"; import * as core from "../../../../core"; import { ToolChoice } from "../../../types/ToolChoice"; export const PromptsCallStreamRequestToolChoice: core.serialization.Schema< serializers.PromptsCallStreamRequestToolChoice.Raw, Humanloop.PromptsCallStreamRequestToolChoice > = core.serialization.undiscriminatedUnion([ core.serialization.stringLiteral("none"), core.serialization.stringLiteral("auto"), core.serialization.stringLiteral("required"), ToolChoice, ]); export declare namespace PromptsCallStreamRequestToolChoice { export type Raw = "none" | "auto" | "required" | ToolChoice.Raw; } humanloop-node-0.8.16/src/serialization/resources/prompts/types/index.ts000066400000000000000000000004261476356526200265620ustar00rootroot00000000000000export * from "./PromptLogRequestToolChoice"; export * from "./PromptLogUpdateRequestToolChoice"; export * from "./PromptsCallStreamRequestToolChoice"; export * from "./PromptsCallRequestToolChoice"; export * from "./PromptRequestTemplate"; export * from "./PromptRequestStop"; humanloop-node-0.8.16/src/serialization/resources/tools/000077500000000000000000000000001476356526200233715ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/tools/client/000077500000000000000000000000001476356526200246475ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/tools/client/index.ts000066400000000000000000000001241476356526200263230ustar00rootroot00000000000000export * as listEnvironments from "./listEnvironments"; export * from "./requests"; humanloop-node-0.8.16/src/serialization/resources/tools/client/listEnvironments.ts000066400000000000000000000011131476356526200305760ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../index"; import * as Humanloop from "../../../../api/index"; import * as core from "../../../../core"; import { FileEnvironmentResponse } from "../../../types/FileEnvironmentResponse"; export const Response: core.serialization.Schema< serializers.tools.listEnvironments.Response.Raw, Humanloop.FileEnvironmentResponse[] > = core.serialization.list(FileEnvironmentResponse); export declare namespace Response { export type Raw = FileEnvironmentResponse.Raw[]; } humanloop-node-0.8.16/src/serialization/resources/tools/client/requests/000077500000000000000000000000001476356526200265225ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/resources/tools/client/requests/ToolLogRequest.ts000066400000000000000000000065461476356526200320350ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../../index"; import * as Humanloop from "../../../../../api/index"; import * as core from "../../../../../core"; import { LogStatus } from "../../../../types/LogStatus"; import { ToolKernelRequest } from "../../../../types/ToolKernelRequest"; export const ToolLogRequest: core.serialization.Schema< serializers.ToolLogRequest.Raw, Omit > = core.serialization.object({ path: core.serialization.string().optional(), id: core.serialization.string().optional(), startTime: core.serialization.property("start_time", core.serialization.date().optional()), endTime: core.serialization.property("end_time", core.serialization.date().optional()), output: core.serialization.string().optional(), createdAt: core.serialization.property("created_at", core.serialization.date().optional()), error: core.serialization.string().optional(), providerLatency: core.serialization.property("provider_latency", core.serialization.number().optional()), stdout: core.serialization.string().optional(), providerRequest: core.serialization.property( "provider_request", core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), ), providerResponse: core.serialization.property( "provider_response", core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), ), inputs: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), source: core.serialization.string().optional(), metadata: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), logStatus: core.serialization.property("log_status", LogStatus.optional()), sourceDatapointId: core.serialization.property("source_datapoint_id", core.serialization.string().optional()), traceParentId: core.serialization.property("trace_parent_id", core.serialization.string().optional()), user: core.serialization.string().optional(), toolLogRequestEnvironment: core.serialization.property("environment", core.serialization.string().optional()), save: core.serialization.boolean().optional(), logId: core.serialization.property("log_id", core.serialization.string().optional()), tool: ToolKernelRequest.optional(), }); export declare namespace ToolLogRequest { export interface Raw { path?: string | null; id?: string | null; start_time?: string | null; end_time?: string | null; output?: string | null; created_at?: string | null; error?: string | null; provider_latency?: number | null; stdout?: string | null; provider_request?: Record | null; provider_response?: Record | null; inputs?: Record | null; source?: string | null; metadata?: Record | null; log_status?: LogStatus.Raw | null; source_datapoint_id?: string | null; trace_parent_id?: string | null; user?: string | null; environment?: string | null; save?: boolean | null; log_id?: string | null; tool?: ToolKernelRequest.Raw | null; } } humanloop-node-0.8.16/src/serialization/resources/tools/client/requests/ToolLogUpdateRequest.ts000066400000000000000000000044711476356526200331730ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../../index"; import * as Humanloop from "../../../../../api/index"; import * as core from "../../../../../core"; import { LogStatus } from "../../../../types/LogStatus"; export const ToolLogUpdateRequest: core.serialization.Schema< serializers.ToolLogUpdateRequest.Raw, Humanloop.ToolLogUpdateRequest > = core.serialization.object({ output: core.serialization.string().optional(), createdAt: core.serialization.property("created_at", core.serialization.date().optional()), error: core.serialization.string().optional(), providerLatency: core.serialization.property("provider_latency", core.serialization.number().optional()), stdout: core.serialization.string().optional(), providerRequest: core.serialization.property( "provider_request", core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), ), providerResponse: core.serialization.property( "provider_response", core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), ), inputs: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), source: core.serialization.string().optional(), metadata: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), startTime: core.serialization.property("start_time", core.serialization.date().optional()), endTime: core.serialization.property("end_time", core.serialization.date().optional()), logStatus: core.serialization.property("log_status", LogStatus.optional()), }); export declare namespace ToolLogUpdateRequest { export interface Raw { output?: string | null; created_at?: string | null; error?: string | null; provider_latency?: number | null; stdout?: string | null; provider_request?: Record | null; provider_response?: Record | null; inputs?: Record | null; source?: string | null; metadata?: Record | null; start_time?: string | null; end_time?: string | null; log_status?: LogStatus.Raw | null; } } humanloop-node-0.8.16/src/serialization/resources/tools/client/requests/ToolRequest.ts000066400000000000000000000032071476356526200313620ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../../index"; import * as Humanloop from "../../../../../api/index"; import * as core from "../../../../../core"; import { ToolFunction } from "../../../../types/ToolFunction"; import { FilesToolType } from "../../../../types/FilesToolType"; export const ToolRequest: core.serialization.Schema = core.serialization.object({ path: core.serialization.string().optional(), id: core.serialization.string().optional(), function: ToolFunction.optional(), sourceCode: core.serialization.property("source_code", core.serialization.string().optional()), setupValues: core.serialization.property( "setup_values", core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), ), attributes: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), toolType: core.serialization.property("tool_type", FilesToolType.optional()), commitMessage: core.serialization.property("commit_message", core.serialization.string().optional()), }); export declare namespace ToolRequest { export interface Raw { path?: string | null; id?: string | null; function?: ToolFunction.Raw | null; source_code?: string | null; setup_values?: Record | null; attributes?: Record | null; tool_type?: FilesToolType.Raw | null; commit_message?: string | null; } } humanloop-node-0.8.16/src/serialization/resources/tools/client/requests/UpdateToolRequest.ts000066400000000000000000000011701476356526200325220ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../../../../index"; import * as Humanloop from "../../../../../api/index"; import * as core from "../../../../../core"; export const UpdateToolRequest: core.serialization.Schema< serializers.UpdateToolRequest.Raw, Humanloop.UpdateToolRequest > = core.serialization.object({ path: core.serialization.string().optional(), name: core.serialization.string().optional(), }); export declare namespace UpdateToolRequest { export interface Raw { path?: string | null; name?: string | null; } } humanloop-node-0.8.16/src/serialization/resources/tools/client/requests/index.ts000066400000000000000000000003301476356526200301750ustar00rootroot00000000000000export { ToolLogRequest } from "./ToolLogRequest"; export { ToolLogUpdateRequest } from "./ToolLogUpdateRequest"; export { ToolRequest } from "./ToolRequest"; export { UpdateToolRequest } from "./UpdateToolRequest"; humanloop-node-0.8.16/src/serialization/resources/tools/index.ts000066400000000000000000000000321476356526200250430ustar00rootroot00000000000000export * from "./client"; humanloop-node-0.8.16/src/serialization/types/000077500000000000000000000000001476356526200213635ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/types/AgentConfigResponse.ts000066400000000000000000000007051476356526200256400ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const AgentConfigResponse: core.serialization.ObjectSchema< serializers.AgentConfigResponse.Raw, Humanloop.AgentConfigResponse > = core.serialization.object({}); export declare namespace AgentConfigResponse { export interface Raw {} } humanloop-node-0.8.16/src/serialization/types/BaseModelsUserResponse.ts000066400000000000000000000007151476356526200263320ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const BaseModelsUserResponse: core.serialization.Schema< serializers.BaseModelsUserResponse.Raw, Humanloop.BaseModelsUserResponse > = core.serialization.unknown(); export declare namespace BaseModelsUserResponse { export type Raw = unknown; } humanloop-node-0.8.16/src/serialization/types/BooleanEvaluatorStatsResponse.ts000066400000000000000000000024621476356526200277370ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const BooleanEvaluatorStatsResponse: core.serialization.ObjectSchema< serializers.BooleanEvaluatorStatsResponse.Raw, Humanloop.BooleanEvaluatorStatsResponse > = core.serialization.object({ evaluatorVersionId: core.serialization.property("evaluator_version_id", core.serialization.string()), totalLogs: core.serialization.property("total_logs", core.serialization.number()), numJudgments: core.serialization.property("num_judgments", core.serialization.number()), numNulls: core.serialization.property("num_nulls", core.serialization.number()), numErrors: core.serialization.property("num_errors", core.serialization.number()), numTrue: core.serialization.property("num_true", core.serialization.number()), numFalse: core.serialization.property("num_false", core.serialization.number()), }); export declare namespace BooleanEvaluatorStatsResponse { export interface Raw { evaluator_version_id: string; total_logs: number; num_judgments: number; num_nulls: number; num_errors: number; num_true: number; num_false: number; } } humanloop-node-0.8.16/src/serialization/types/ChatMessage.ts000066400000000000000000000021021476356526200241120ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { ChatMessageContent } from "./ChatMessageContent"; import { ChatRole } from "./ChatRole"; import { ToolCall } from "./ToolCall"; export const ChatMessage: core.serialization.ObjectSchema = core.serialization.object({ content: ChatMessageContent.optional(), name: core.serialization.string().optional(), toolCallId: core.serialization.property("tool_call_id", core.serialization.string().optional()), role: ChatRole, toolCalls: core.serialization.property("tool_calls", core.serialization.list(ToolCall).optional()), }); export declare namespace ChatMessage { export interface Raw { content?: ChatMessageContent.Raw | null; name?: string | null; tool_call_id?: string | null; role: ChatRole.Raw; tool_calls?: ToolCall.Raw[] | null; } } humanloop-node-0.8.16/src/serialization/types/ChatMessageContent.ts000066400000000000000000000012041476356526200254470ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { ChatMessageContentItem } from "./ChatMessageContentItem"; export const ChatMessageContent: core.serialization.Schema< serializers.ChatMessageContent.Raw, Humanloop.ChatMessageContent > = core.serialization.undiscriminatedUnion([ core.serialization.string(), core.serialization.list(ChatMessageContentItem), ]); export declare namespace ChatMessageContent { export type Raw = string | ChatMessageContentItem.Raw[]; } humanloop-node-0.8.16/src/serialization/types/ChatMessageContentItem.ts000066400000000000000000000012141476356526200262670ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { TextChatContent } from "./TextChatContent"; import { ImageChatContent } from "./ImageChatContent"; export const ChatMessageContentItem: core.serialization.Schema< serializers.ChatMessageContentItem.Raw, Humanloop.ChatMessageContentItem > = core.serialization.undiscriminatedUnion([TextChatContent, ImageChatContent]); export declare namespace ChatMessageContentItem { export type Raw = TextChatContent.Raw | ImageChatContent.Raw; } humanloop-node-0.8.16/src/serialization/types/ChatRole.ts000066400000000000000000000007601476356526200234370ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const ChatRole: core.serialization.Schema = core.serialization.enum_(["user", "assistant", "system", "tool", "developer"]); export declare namespace ChatRole { export type Raw = "user" | "assistant" | "system" | "tool" | "developer"; } humanloop-node-0.8.16/src/serialization/types/ChatToolType.ts000066400000000000000000000006621476356526200243160ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const ChatToolType: core.serialization.Schema = core.serialization.stringLiteral("function"); export declare namespace ChatToolType { export type Raw = "function"; } humanloop-node-0.8.16/src/serialization/types/CodeEvaluatorRequest.ts000066400000000000000000000035471476356526200260520ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { EvaluatorArgumentsType } from "./EvaluatorArgumentsType"; import { EvaluatorReturnTypeEnum } from "./EvaluatorReturnTypeEnum"; import { EvaluatorJudgmentOptionResponse } from "./EvaluatorJudgmentOptionResponse"; import { EvaluatorJudgmentNumberLimit } from "./EvaluatorJudgmentNumberLimit"; import { Valence } from "./Valence"; export const CodeEvaluatorRequest: core.serialization.ObjectSchema< serializers.CodeEvaluatorRequest.Raw, Humanloop.CodeEvaluatorRequest > = core.serialization.object({ argumentsType: core.serialization.property("arguments_type", EvaluatorArgumentsType), returnType: core.serialization.property("return_type", EvaluatorReturnTypeEnum), attributes: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), options: core.serialization.list(EvaluatorJudgmentOptionResponse).optional(), numberLimits: core.serialization.property("number_limits", EvaluatorJudgmentNumberLimit.optional()), numberValence: core.serialization.property("number_valence", Valence.optional()), evaluatorType: core.serialization.property("evaluator_type", core.serialization.stringLiteral("python")), code: core.serialization.string(), }); export declare namespace CodeEvaluatorRequest { export interface Raw { arguments_type: EvaluatorArgumentsType.Raw; return_type: EvaluatorReturnTypeEnum.Raw; attributes?: Record | null; options?: EvaluatorJudgmentOptionResponse.Raw[] | null; number_limits?: EvaluatorJudgmentNumberLimit.Raw | null; number_valence?: Valence.Raw | null; evaluator_type: "python"; code: string; } } humanloop-node-0.8.16/src/serialization/types/CommitRequest.ts000066400000000000000000000010641476356526200245350ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const CommitRequest: core.serialization.ObjectSchema = core.serialization.object({ commitMessage: core.serialization.property("commit_message", core.serialization.string()), }); export declare namespace CommitRequest { export interface Raw { commit_message: string; } } humanloop-node-0.8.16/src/serialization/types/ConfigToolResponse.ts000066400000000000000000000006751476356526200255250ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const ConfigToolResponse: core.serialization.Schema< serializers.ConfigToolResponse.Raw, Humanloop.ConfigToolResponse > = core.serialization.unknown(); export declare namespace ConfigToolResponse { export type Raw = unknown; } humanloop-node-0.8.16/src/serialization/types/CreateDatapointRequest.ts000066400000000000000000000020461476356526200263550ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { ChatMessage } from "./ChatMessage"; import { CreateDatapointRequestTargetValue } from "./CreateDatapointRequestTargetValue"; export const CreateDatapointRequest: core.serialization.ObjectSchema< serializers.CreateDatapointRequest.Raw, Humanloop.CreateDatapointRequest > = core.serialization.object({ inputs: core.serialization.record(core.serialization.string(), core.serialization.string()).optional(), messages: core.serialization.list(ChatMessage).optional(), target: core.serialization.record(core.serialization.string(), CreateDatapointRequestTargetValue).optional(), }); export declare namespace CreateDatapointRequest { export interface Raw { inputs?: Record | null; messages?: ChatMessage.Raw[] | null; target?: Record | null; } } humanloop-node-0.8.16/src/serialization/types/CreateDatapointRequestTargetValue.ts000066400000000000000000000015441476356526200305230ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const CreateDatapointRequestTargetValue: core.serialization.Schema< serializers.CreateDatapointRequestTargetValue.Raw, Humanloop.CreateDatapointRequestTargetValue > = core.serialization.undiscriminatedUnion([ core.serialization.string(), core.serialization.number(), core.serialization.number(), core.serialization.boolean(), core.serialization.list(core.serialization.unknown()), core.serialization.record(core.serialization.string(), core.serialization.unknown()), ]); export declare namespace CreateDatapointRequestTargetValue { export type Raw = string | number | number | boolean | unknown[] | Record; } humanloop-node-0.8.16/src/serialization/types/CreateEvaluatorLogResponse.ts000066400000000000000000000016111476356526200272010ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const CreateEvaluatorLogResponse: core.serialization.ObjectSchema< serializers.CreateEvaluatorLogResponse.Raw, Humanloop.CreateEvaluatorLogResponse > = core.serialization.object({ id: core.serialization.string(), parentId: core.serialization.property("parent_id", core.serialization.string()), sessionId: core.serialization.property("session_id", core.serialization.string().optional()), versionId: core.serialization.property("version_id", core.serialization.string()), }); export declare namespace CreateEvaluatorLogResponse { export interface Raw { id: string; parent_id: string; session_id?: string | null; version_id: string; } } humanloop-node-0.8.16/src/serialization/types/CreateFlowLogResponse.ts000066400000000000000000000016151476356526200261520ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { LogStatus } from "./LogStatus"; export const CreateFlowLogResponse: core.serialization.ObjectSchema< serializers.CreateFlowLogResponse.Raw, Humanloop.CreateFlowLogResponse > = core.serialization.object({ id: core.serialization.string(), flowId: core.serialization.property("flow_id", core.serialization.string()), versionId: core.serialization.property("version_id", core.serialization.string()), logStatus: core.serialization.property("log_status", LogStatus.optional()), }); export declare namespace CreateFlowLogResponse { export interface Raw { id: string; flow_id: string; version_id: string; log_status?: LogStatus.Raw | null; } } humanloop-node-0.8.16/src/serialization/types/CreatePromptLogResponse.ts000066400000000000000000000015751476356526200265310ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const CreatePromptLogResponse: core.serialization.ObjectSchema< serializers.CreatePromptLogResponse.Raw, Humanloop.CreatePromptLogResponse > = core.serialization.object({ id: core.serialization.string(), promptId: core.serialization.property("prompt_id", core.serialization.string()), versionId: core.serialization.property("version_id", core.serialization.string()), sessionId: core.serialization.property("session_id", core.serialization.string().optional()), }); export declare namespace CreatePromptLogResponse { export interface Raw { id: string; prompt_id: string; version_id: string; session_id?: string | null; } } humanloop-node-0.8.16/src/serialization/types/CreateToolLogResponse.ts000066400000000000000000000015571476356526200261650ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const CreateToolLogResponse: core.serialization.ObjectSchema< serializers.CreateToolLogResponse.Raw, Humanloop.CreateToolLogResponse > = core.serialization.object({ id: core.serialization.string(), toolId: core.serialization.property("tool_id", core.serialization.string()), versionId: core.serialization.property("version_id", core.serialization.string()), sessionId: core.serialization.property("session_id", core.serialization.string().optional()), }); export declare namespace CreateToolLogResponse { export interface Raw { id: string; tool_id: string; version_id: string; session_id?: string | null; } } humanloop-node-0.8.16/src/serialization/types/DashboardConfiguration.ts000066400000000000000000000016301476356526200263520ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { TimeUnit } from "./TimeUnit"; export const DashboardConfiguration: core.serialization.ObjectSchema< serializers.DashboardConfiguration.Raw, Humanloop.DashboardConfiguration > = core.serialization.object({ timeUnit: core.serialization.property("time_unit", TimeUnit), timeRangeDays: core.serialization.property("time_range_days", core.serialization.number()), modelConfigIds: core.serialization.property( "model_config_ids", core.serialization.list(core.serialization.string()), ), }); export declare namespace DashboardConfiguration { export interface Raw { time_unit: TimeUnit.Raw; time_range_days: number; model_config_ids: string[]; } } humanloop-node-0.8.16/src/serialization/types/DatapointResponse.ts000066400000000000000000000020671476356526200254020ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { ChatMessage } from "./ChatMessage"; import { DatapointResponseTargetValue } from "./DatapointResponseTargetValue"; export const DatapointResponse: core.serialization.ObjectSchema< serializers.DatapointResponse.Raw, Humanloop.DatapointResponse > = core.serialization.object({ inputs: core.serialization.record(core.serialization.string(), core.serialization.string()).optional(), messages: core.serialization.list(ChatMessage).optional(), target: core.serialization.record(core.serialization.string(), DatapointResponseTargetValue).optional(), id: core.serialization.string(), }); export declare namespace DatapointResponse { export interface Raw { inputs?: Record | null; messages?: ChatMessage.Raw[] | null; target?: Record | null; id: string; } } humanloop-node-0.8.16/src/serialization/types/DatapointResponseTargetValue.ts000066400000000000000000000015201476356526200275370ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const DatapointResponseTargetValue: core.serialization.Schema< serializers.DatapointResponseTargetValue.Raw, Humanloop.DatapointResponseTargetValue > = core.serialization.undiscriminatedUnion([ core.serialization.string(), core.serialization.number(), core.serialization.number(), core.serialization.boolean(), core.serialization.list(core.serialization.unknown()), core.serialization.record(core.serialization.string(), core.serialization.unknown()), ]); export declare namespace DatapointResponseTargetValue { export type Raw = string | number | number | boolean | unknown[] | Record; } humanloop-node-0.8.16/src/serialization/types/DatasetResponse.ts000066400000000000000000000057041476356526200250450ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { EnvironmentResponse } from "./EnvironmentResponse"; import { UserResponse } from "./UserResponse"; import { VersionStatus } from "./VersionStatus"; import { DatapointResponse } from "./DatapointResponse"; export const DatasetResponse: core.serialization.ObjectSchema< serializers.DatasetResponse.Raw, Humanloop.DatasetResponse > = core.serialization.object({ path: core.serialization.string(), id: core.serialization.string(), directoryId: core.serialization.property("directory_id", core.serialization.string().optional()), name: core.serialization.string(), description: core.serialization.string().optional(), readme: core.serialization.string().optional(), tags: core.serialization.list(core.serialization.string()).optional(), versionId: core.serialization.property("version_id", core.serialization.string()), type: core.serialization.stringLiteral("dataset").optional(), environments: core.serialization.list(EnvironmentResponse).optional(), createdAt: core.serialization.property("created_at", core.serialization.date()), updatedAt: core.serialization.property("updated_at", core.serialization.date()), createdBy: core.serialization.property("created_by", UserResponse.optional()), committedBy: core.serialization.property("committed_by", UserResponse.optional()), committedAt: core.serialization.property("committed_at", core.serialization.date().optional()), status: VersionStatus, lastUsedAt: core.serialization.property("last_used_at", core.serialization.date()), commitMessage: core.serialization.property("commit_message", core.serialization.string().optional()), datapointsCount: core.serialization.property("datapoints_count", core.serialization.number()), datapoints: core.serialization.list(DatapointResponse).optional(), attributes: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), }); export declare namespace DatasetResponse { export interface Raw { path: string; id: string; directory_id?: string | null; name: string; description?: string | null; readme?: string | null; tags?: string[] | null; version_id: string; type?: "dataset" | null; environments?: EnvironmentResponse.Raw[] | null; created_at: string; updated_at: string; created_by?: (UserResponse.Raw | undefined) | null; committed_by?: (UserResponse.Raw | undefined) | null; committed_at?: string | null; status: VersionStatus.Raw; last_used_at: string; commit_message?: string | null; datapoints_count: number; datapoints?: DatapointResponse.Raw[] | null; attributes?: Record | null; } } humanloop-node-0.8.16/src/serialization/types/DatasetsRequest.ts000066400000000000000000000006531476356526200250600ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const DatasetsRequest: core.serialization.Schema = core.serialization.unknown(); export declare namespace DatasetsRequest { export type Raw = unknown; } humanloop-node-0.8.16/src/serialization/types/DirectoryResponse.ts000066400000000000000000000023451476356526200254220ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const DirectoryResponse: core.serialization.ObjectSchema< serializers.DirectoryResponse.Raw, Humanloop.DirectoryResponse > = core.serialization.object({ id: core.serialization.string(), parentId: core.serialization.property("parent_id", core.serialization.string().optional()), name: core.serialization.string(), description: core.serialization.string().optional(), path: core.serialization.string(), readme: core.serialization.string().optional(), tags: core.serialization.list(core.serialization.string()), createdAt: core.serialization.property("created_at", core.serialization.date()), updatedAt: core.serialization.property("updated_at", core.serialization.date()), }); export declare namespace DirectoryResponse { export interface Raw { id: string; parent_id?: string | null; name: string; description?: string | null; path: string; readme?: string | null; tags: string[]; created_at: string; updated_at: string; } } humanloop-node-0.8.16/src/serialization/types/DirectoryWithParentsAndChildrenResponse.ts000066400000000000000000000035361476356526200317120ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { DirectoryResponse } from "./DirectoryResponse"; import { DirectoryWithParentsAndChildrenResponseFilesItem } from "./DirectoryWithParentsAndChildrenResponseFilesItem"; export const DirectoryWithParentsAndChildrenResponse: core.serialization.ObjectSchema< serializers.DirectoryWithParentsAndChildrenResponse.Raw, Humanloop.DirectoryWithParentsAndChildrenResponse > = core.serialization.object({ id: core.serialization.string(), parentId: core.serialization.property("parent_id", core.serialization.string().optional()), name: core.serialization.string(), description: core.serialization.string().optional(), path: core.serialization.string(), readme: core.serialization.string().optional(), tags: core.serialization.list(core.serialization.string()), createdAt: core.serialization.property("created_at", core.serialization.date()), updatedAt: core.serialization.property("updated_at", core.serialization.date()), subdirectories: core.serialization.list(DirectoryResponse), files: core.serialization.list(DirectoryWithParentsAndChildrenResponseFilesItem), parents: core.serialization.list(DirectoryResponse), }); export declare namespace DirectoryWithParentsAndChildrenResponse { export interface Raw { id: string; parent_id?: string | null; name: string; description?: string | null; path: string; readme?: string | null; tags: string[]; created_at: string; updated_at: string; subdirectories: DirectoryResponse.Raw[]; files: DirectoryWithParentsAndChildrenResponseFilesItem.Raw[]; parents: DirectoryResponse.Raw[]; } } humanloop-node-0.8.16/src/serialization/types/DirectoryWithParentsAndChildrenResponseFilesItem.ts000066400000000000000000000021331476356526200335040ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { DatasetResponse } from "./DatasetResponse"; export const DirectoryWithParentsAndChildrenResponseFilesItem: core.serialization.Schema< serializers.DirectoryWithParentsAndChildrenResponseFilesItem.Raw, Humanloop.DirectoryWithParentsAndChildrenResponseFilesItem > = core.serialization.undiscriminatedUnion([ core.serialization.lazyObject(() => serializers.PromptResponse), core.serialization.lazyObject(() => serializers.ToolResponse), core.serialization.lazyObject(() => serializers.EvaluatorResponse), DatasetResponse, core.serialization.lazyObject(() => serializers.FlowResponse), ]); export declare namespace DirectoryWithParentsAndChildrenResponseFilesItem { export type Raw = | serializers.PromptResponse.Raw | serializers.ToolResponse.Raw | serializers.EvaluatorResponse.Raw | DatasetResponse.Raw | serializers.FlowResponse.Raw; } humanloop-node-0.8.16/src/serialization/types/EnvironmentResponse.ts000066400000000000000000000014371476356526200257630ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { EnvironmentTag } from "./EnvironmentTag"; export const EnvironmentResponse: core.serialization.ObjectSchema< serializers.EnvironmentResponse.Raw, Humanloop.EnvironmentResponse > = core.serialization.object({ id: core.serialization.string(), createdAt: core.serialization.property("created_at", core.serialization.date()), name: core.serialization.string(), tag: EnvironmentTag, }); export declare namespace EnvironmentResponse { export interface Raw { id: string; created_at: string; name: string; tag: EnvironmentTag.Raw; } } humanloop-node-0.8.16/src/serialization/types/EnvironmentTag.ts000066400000000000000000000007051476356526200246750ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const EnvironmentTag: core.serialization.Schema = core.serialization.enum_(["default", "other"]); export declare namespace EnvironmentTag { export type Raw = "default" | "other"; } humanloop-node-0.8.16/src/serialization/types/EvaluateeRequest.ts000066400000000000000000000021221476356526200252140ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const EvaluateeRequest: core.serialization.ObjectSchema< serializers.EvaluateeRequest.Raw, Humanloop.EvaluateeRequest > = core.serialization.object({ versionId: core.serialization.property("version_id", core.serialization.string().optional()), path: core.serialization.string().optional(), fileId: core.serialization.property("file_id", core.serialization.string().optional()), environment: core.serialization.string().optional(), batchId: core.serialization.property("batch_id", core.serialization.string().optional()), orchestrated: core.serialization.boolean().optional(), }); export declare namespace EvaluateeRequest { export interface Raw { version_id?: string | null; path?: string | null; file_id?: string | null; environment?: string | null; batch_id?: string | null; orchestrated?: boolean | null; } } humanloop-node-0.8.16/src/serialization/types/EvaluateeResponse.ts000066400000000000000000000017531476356526200253730ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { RunVersionResponse } from "./RunVersionResponse"; export const EvaluateeResponse: core.serialization.ObjectSchema< serializers.EvaluateeResponse.Raw, Humanloop.EvaluateeResponse > = core.serialization.object({ version: RunVersionResponse.optional(), batchId: core.serialization.property("batch_id", core.serialization.string().optional()), orchestrated: core.serialization.boolean(), pinned: core.serialization.boolean(), addedAt: core.serialization.property("added_at", core.serialization.date().optional()), }); export declare namespace EvaluateeResponse { export interface Raw { version?: RunVersionResponse.Raw | null; batch_id?: string | null; orchestrated: boolean; pinned: boolean; added_at?: string | null; } } humanloop-node-0.8.16/src/serialization/types/EvaluationEvaluatorResponse.ts000066400000000000000000000014521476356526200274460ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const EvaluationEvaluatorResponse: core.serialization.ObjectSchema< serializers.EvaluationEvaluatorResponse.Raw, Humanloop.EvaluationEvaluatorResponse > = core.serialization.object({ version: core.serialization.lazyObject(() => serializers.EvaluatorResponse), orchestrated: core.serialization.boolean(), addedAt: core.serialization.property("added_at", core.serialization.date()), }); export declare namespace EvaluationEvaluatorResponse { export interface Raw { version: serializers.EvaluatorResponse.Raw; orchestrated: boolean; added_at: string; } } humanloop-node-0.8.16/src/serialization/types/EvaluationLogResponse.ts000066400000000000000000000020361476356526200262240ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { DatapointResponse } from "./DatapointResponse"; export const EvaluationLogResponse: core.serialization.ObjectSchema< serializers.EvaluationLogResponse.Raw, Humanloop.EvaluationLogResponse > = core.serialization.object({ runId: core.serialization.property("run_id", core.serialization.string()), datapoint: DatapointResponse.optional(), log: core.serialization.lazy(() => serializers.LogResponse), evaluatorLogs: core.serialization.property( "evaluator_logs", core.serialization.list(core.serialization.lazy(() => serializers.LogResponse)), ), }); export declare namespace EvaluationLogResponse { export interface Raw { run_id: string; datapoint?: DatapointResponse.Raw | null; log: serializers.LogResponse.Raw; evaluator_logs: serializers.LogResponse.Raw[]; } } humanloop-node-0.8.16/src/serialization/types/EvaluationResponse.ts000066400000000000000000000027701476356526200255670ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { EvaluationEvaluatorResponse } from "./EvaluationEvaluatorResponse"; import { UserResponse } from "./UserResponse"; export const EvaluationResponse: core.serialization.ObjectSchema< serializers.EvaluationResponse.Raw, Humanloop.EvaluationResponse > = core.serialization.object({ id: core.serialization.string(), runsCount: core.serialization.property("runs_count", core.serialization.number()), evaluators: core.serialization.list(EvaluationEvaluatorResponse), name: core.serialization.string().optional(), fileId: core.serialization.property("file_id", core.serialization.string().optional()), createdAt: core.serialization.property("created_at", core.serialization.date()), createdBy: core.serialization.property("created_by", UserResponse.optional()), updatedAt: core.serialization.property("updated_at", core.serialization.date()), url: core.serialization.string().optional(), }); export declare namespace EvaluationResponse { export interface Raw { id: string; runs_count: number; evaluators: EvaluationEvaluatorResponse.Raw[]; name?: string | null; file_id?: string | null; created_at: string; created_by?: (UserResponse.Raw | undefined) | null; updated_at: string; url?: string | null; } } humanloop-node-0.8.16/src/serialization/types/EvaluationRunResponse.ts000066400000000000000000000027311476356526200262510ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { DatasetResponse } from "./DatasetResponse"; import { RunVersionResponse } from "./RunVersionResponse"; import { UserResponse } from "./UserResponse"; import { EvaluationStatus } from "./EvaluationStatus"; export const EvaluationRunResponse: core.serialization.ObjectSchema< serializers.EvaluationRunResponse.Raw, Humanloop.EvaluationRunResponse > = core.serialization.object({ id: core.serialization.string(), dataset: DatasetResponse.optional(), version: RunVersionResponse.optional(), orchestrated: core.serialization.boolean(), addedAt: core.serialization.property("added_at", core.serialization.date()), createdAt: core.serialization.property("created_at", core.serialization.date()), createdBy: core.serialization.property("created_by", UserResponse.optional()), status: EvaluationStatus, control: core.serialization.boolean(), }); export declare namespace EvaluationRunResponse { export interface Raw { id: string; dataset?: DatasetResponse.Raw | null; version?: RunVersionResponse.Raw | null; orchestrated: boolean; added_at: string; created_at: string; created_by?: (UserResponse.Raw | undefined) | null; status: EvaluationStatus.Raw; control: boolean; } } humanloop-node-0.8.16/src/serialization/types/EvaluationRunsResponse.ts000066400000000000000000000011751476356526200264350ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { EvaluationRunResponse } from "./EvaluationRunResponse"; export const EvaluationRunsResponse: core.serialization.ObjectSchema< serializers.EvaluationRunsResponse.Raw, Humanloop.EvaluationRunsResponse > = core.serialization.object({ runs: core.serialization.list(EvaluationRunResponse), }); export declare namespace EvaluationRunsResponse { export interface Raw { runs: EvaluationRunResponse.Raw[]; } } humanloop-node-0.8.16/src/serialization/types/EvaluationStats.ts000066400000000000000000000016471476356526200250710ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { RunStatsResponse } from "./RunStatsResponse"; import { EvaluationStatus } from "./EvaluationStatus"; export const EvaluationStats: core.serialization.ObjectSchema< serializers.EvaluationStats.Raw, Humanloop.EvaluationStats > = core.serialization.object({ runStats: core.serialization.property("run_stats", core.serialization.list(RunStatsResponse)), progress: core.serialization.string().optional(), report: core.serialization.string().optional(), status: EvaluationStatus, }); export declare namespace EvaluationStats { export interface Raw { run_stats: RunStatsResponse.Raw[]; progress?: string | null; report?: string | null; status: EvaluationStatus.Raw; } } humanloop-node-0.8.16/src/serialization/types/EvaluationStatus.ts000066400000000000000000000010071476356526200252440ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const EvaluationStatus: core.serialization.Schema = core.serialization.enum_(["pending", "running", "completed", "cancelled"]); export declare namespace EvaluationStatus { export type Raw = "pending" | "running" | "completed" | "cancelled"; } humanloop-node-0.8.16/src/serialization/types/EvaluationsDatasetRequest.ts000066400000000000000000000007311476356526200271050ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const EvaluationsDatasetRequest: core.serialization.Schema< serializers.EvaluationsDatasetRequest.Raw, Humanloop.EvaluationsDatasetRequest > = core.serialization.unknown(); export declare namespace EvaluationsDatasetRequest { export type Raw = unknown; } humanloop-node-0.8.16/src/serialization/types/EvaluationsRequest.ts000066400000000000000000000006751476356526200256060ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const EvaluationsRequest: core.serialization.Schema< serializers.EvaluationsRequest.Raw, Humanloop.EvaluationsRequest > = core.serialization.unknown(); export declare namespace EvaluationsRequest { export type Raw = unknown; } humanloop-node-0.8.16/src/serialization/types/EvaluatorActivationDeactivationRequest.ts000066400000000000000000000022151476356526200316230ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { EvaluatorActivationDeactivationRequestActivateItem } from "./EvaluatorActivationDeactivationRequestActivateItem"; import { EvaluatorActivationDeactivationRequestDeactivateItem } from "./EvaluatorActivationDeactivationRequestDeactivateItem"; export const EvaluatorActivationDeactivationRequest: core.serialization.ObjectSchema< serializers.EvaluatorActivationDeactivationRequest.Raw, Humanloop.EvaluatorActivationDeactivationRequest > = core.serialization.object({ activate: core.serialization.list(EvaluatorActivationDeactivationRequestActivateItem).optional(), deactivate: core.serialization.list(EvaluatorActivationDeactivationRequestDeactivateItem).optional(), }); export declare namespace EvaluatorActivationDeactivationRequest { export interface Raw { activate?: EvaluatorActivationDeactivationRequestActivateItem.Raw[] | null; deactivate?: EvaluatorActivationDeactivationRequestDeactivateItem.Raw[] | null; } } humanloop-node-0.8.16/src/serialization/types/EvaluatorActivationDeactivationRequestActivateItem.ts000066400000000000000000000016301476356526200341230ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { MonitoringEvaluatorVersionRequest } from "./MonitoringEvaluatorVersionRequest"; import { MonitoringEvaluatorEnvironmentRequest } from "./MonitoringEvaluatorEnvironmentRequest"; export const EvaluatorActivationDeactivationRequestActivateItem: core.serialization.Schema< serializers.EvaluatorActivationDeactivationRequestActivateItem.Raw, Humanloop.EvaluatorActivationDeactivationRequestActivateItem > = core.serialization.undiscriminatedUnion([MonitoringEvaluatorVersionRequest, MonitoringEvaluatorEnvironmentRequest]); export declare namespace EvaluatorActivationDeactivationRequestActivateItem { export type Raw = MonitoringEvaluatorVersionRequest.Raw | MonitoringEvaluatorEnvironmentRequest.Raw; } EvaluatorActivationDeactivationRequestDeactivateItem.ts000066400000000000000000000016401476356526200343560ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/types/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { MonitoringEvaluatorVersionRequest } from "./MonitoringEvaluatorVersionRequest"; import { MonitoringEvaluatorEnvironmentRequest } from "./MonitoringEvaluatorEnvironmentRequest"; export const EvaluatorActivationDeactivationRequestDeactivateItem: core.serialization.Schema< serializers.EvaluatorActivationDeactivationRequestDeactivateItem.Raw, Humanloop.EvaluatorActivationDeactivationRequestDeactivateItem > = core.serialization.undiscriminatedUnion([MonitoringEvaluatorVersionRequest, MonitoringEvaluatorEnvironmentRequest]); export declare namespace EvaluatorActivationDeactivationRequestDeactivateItem { export type Raw = MonitoringEvaluatorVersionRequest.Raw | MonitoringEvaluatorEnvironmentRequest.Raw; } humanloop-node-0.8.16/src/serialization/types/EvaluatorAggregate.ts000066400000000000000000000017611476356526200255110ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const EvaluatorAggregate: core.serialization.ObjectSchema< serializers.EvaluatorAggregate.Raw, Humanloop.EvaluatorAggregate > = core.serialization.object({ value: core.serialization.number(), evaluatorId: core.serialization.property("evaluator_id", core.serialization.string()), evaluatorVersionId: core.serialization.property("evaluator_version_id", core.serialization.string()), createdAt: core.serialization.property("created_at", core.serialization.date()), updatedAt: core.serialization.property("updated_at", core.serialization.date()), }); export declare namespace EvaluatorAggregate { export interface Raw { value: number; evaluator_id: string; evaluator_version_id: string; created_at: string; updated_at: string; } } humanloop-node-0.8.16/src/serialization/types/EvaluatorArgumentsType.ts000066400000000000000000000010071476356526200264230ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const EvaluatorArgumentsType: core.serialization.Schema< serializers.EvaluatorArgumentsType.Raw, Humanloop.EvaluatorArgumentsType > = core.serialization.enum_(["target_free", "target_required"]); export declare namespace EvaluatorArgumentsType { export type Raw = "target_free" | "target_required"; } humanloop-node-0.8.16/src/serialization/types/EvaluatorConfigResponse.ts000066400000000000000000000007251476356526200265460ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const EvaluatorConfigResponse: core.serialization.ObjectSchema< serializers.EvaluatorConfigResponse.Raw, Humanloop.EvaluatorConfigResponse > = core.serialization.object({}); export declare namespace EvaluatorConfigResponse { export interface Raw {} } humanloop-node-0.8.16/src/serialization/types/EvaluatorFileId.ts000066400000000000000000000012641476356526200247550ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const EvaluatorFileId: core.serialization.ObjectSchema< serializers.EvaluatorFileId.Raw, Humanloop.EvaluatorFileId > = core.serialization.object({ environment: core.serialization.string().optional(), id: core.serialization.string(), orchestrated: core.serialization.boolean().optional(), }); export declare namespace EvaluatorFileId { export interface Raw { environment?: string | null; id: string; orchestrated?: boolean | null; } } humanloop-node-0.8.16/src/serialization/types/EvaluatorFilePath.ts000066400000000000000000000013001476356526200253040ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const EvaluatorFilePath: core.serialization.ObjectSchema< serializers.EvaluatorFilePath.Raw, Humanloop.EvaluatorFilePath > = core.serialization.object({ environment: core.serialization.string().optional(), path: core.serialization.string(), orchestrated: core.serialization.boolean().optional(), }); export declare namespace EvaluatorFilePath { export interface Raw { environment?: string | null; path: string; orchestrated?: boolean | null; } } humanloop-node-0.8.16/src/serialization/types/EvaluatorJudgmentNumberLimit.ts000066400000000000000000000013331476356526200275430ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const EvaluatorJudgmentNumberLimit: core.serialization.ObjectSchema< serializers.EvaluatorJudgmentNumberLimit.Raw, Humanloop.EvaluatorJudgmentNumberLimit > = core.serialization.object({ min: core.serialization.number().optional(), max: core.serialization.number().optional(), step: core.serialization.number().optional(), }); export declare namespace EvaluatorJudgmentNumberLimit { export interface Raw { min?: number | null; max?: number | null; step?: number | null; } } humanloop-node-0.8.16/src/serialization/types/EvaluatorJudgmentOptionResponse.ts000066400000000000000000000012441476356526200303040ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { Valence } from "./Valence"; export const EvaluatorJudgmentOptionResponse: core.serialization.ObjectSchema< serializers.EvaluatorJudgmentOptionResponse.Raw, Humanloop.EvaluatorJudgmentOptionResponse > = core.serialization.object({ name: core.serialization.string(), valence: Valence.optional(), }); export declare namespace EvaluatorJudgmentOptionResponse { export interface Raw { name: string; valence?: Valence.Raw | null; } } humanloop-node-0.8.16/src/serialization/types/EvaluatorLogResponse.ts000066400000000000000000000114131476356526200260560ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { LogStatus } from "./LogStatus"; import { ChatMessage } from "./ChatMessage"; import { EvaluatorLogResponseJudgment } from "./EvaluatorLogResponseJudgment"; export const EvaluatorLogResponse: core.serialization.ObjectSchema< serializers.EvaluatorLogResponse.Raw, Humanloop.EvaluatorLogResponse > = core.serialization.object({ startTime: core.serialization.property("start_time", core.serialization.date().optional()), endTime: core.serialization.property("end_time", core.serialization.date().optional()), output: core.serialization.string().optional(), createdAt: core.serialization.property("created_at", core.serialization.date().optional()), error: core.serialization.string().optional(), providerLatency: core.serialization.property("provider_latency", core.serialization.number().optional()), stdout: core.serialization.string().optional(), providerRequest: core.serialization.property( "provider_request", core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), ), providerResponse: core.serialization.property( "provider_response", core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), ), inputs: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), source: core.serialization.string().optional(), metadata: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), logStatus: core.serialization.property("log_status", LogStatus.optional()), parentId: core.serialization.property("parent_id", core.serialization.string().optional()), sourceDatapointId: core.serialization.property("source_datapoint_id", core.serialization.string().optional()), traceParentId: core.serialization.property("trace_parent_id", core.serialization.string().optional()), batches: core.serialization.list(core.serialization.string()).optional(), user: core.serialization.string().optional(), environment: core.serialization.string().optional(), save: core.serialization.boolean().optional(), logId: core.serialization.property("log_id", core.serialization.string().optional()), outputMessage: core.serialization.property("output_message", ChatMessage.optional()), judgment: EvaluatorLogResponseJudgment.optional(), markedCompleted: core.serialization.property("marked_completed", core.serialization.boolean().optional()), id: core.serialization.string(), evaluatorLogs: core.serialization.property( "evaluator_logs", core.serialization.list(core.serialization.lazyObject(() => serializers.EvaluatorLogResponse)), ), traceFlowId: core.serialization.property("trace_flow_id", core.serialization.string().optional()), traceId: core.serialization.property("trace_id", core.serialization.string().optional()), traceChildren: core.serialization.property( "trace_children", core.serialization.list(core.serialization.lazy(() => serializers.LogResponse)).optional(), ), evaluator: core.serialization.lazyObject(() => serializers.EvaluatorResponse), parent: core.serialization.lazy(() => serializers.LogResponse).optional(), }); export declare namespace EvaluatorLogResponse { export interface Raw { start_time?: string | null; end_time?: string | null; output?: string | null; created_at?: string | null; error?: string | null; provider_latency?: number | null; stdout?: string | null; provider_request?: Record | null; provider_response?: Record | null; inputs?: Record | null; source?: string | null; metadata?: Record | null; log_status?: LogStatus.Raw | null; parent_id?: string | null; source_datapoint_id?: string | null; trace_parent_id?: string | null; batches?: string[] | null; user?: string | null; environment?: string | null; save?: boolean | null; log_id?: string | null; output_message?: ChatMessage.Raw | null; judgment?: EvaluatorLogResponseJudgment.Raw | null; marked_completed?: boolean | null; id: string; evaluator_logs: serializers.EvaluatorLogResponse.Raw[]; trace_flow_id?: string | null; trace_id?: string | null; trace_children?: serializers.LogResponse.Raw[] | null; evaluator: serializers.EvaluatorResponse.Raw; parent?: serializers.LogResponse.Raw | null; } } humanloop-node-0.8.16/src/serialization/types/EvaluatorLogResponseJudgment.ts000066400000000000000000000012601476356526200275530ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const EvaluatorLogResponseJudgment: core.serialization.Schema< serializers.EvaluatorLogResponseJudgment.Raw, Humanloop.EvaluatorLogResponseJudgment > = core.serialization.undiscriminatedUnion([ core.serialization.boolean(), core.serialization.string(), core.serialization.list(core.serialization.string()), core.serialization.number(), ]); export declare namespace EvaluatorLogResponseJudgment { export type Raw = boolean | string | string[] | number; } humanloop-node-0.8.16/src/serialization/types/EvaluatorResponse.ts000066400000000000000000000072601476356526200254210ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { EvaluatorResponseSpec } from "./EvaluatorResponseSpec"; import { EnvironmentResponse } from "./EnvironmentResponse"; import { UserResponse } from "./UserResponse"; import { VersionStatus } from "./VersionStatus"; import { InputResponse } from "./InputResponse"; import { EvaluatorAggregate } from "./EvaluatorAggregate"; export const EvaluatorResponse: core.serialization.ObjectSchema< serializers.EvaluatorResponse.Raw, Humanloop.EvaluatorResponse > = core.serialization.object({ path: core.serialization.string(), id: core.serialization.string(), directoryId: core.serialization.property("directory_id", core.serialization.string().optional()), commitMessage: core.serialization.property("commit_message", core.serialization.string().optional()), spec: EvaluatorResponseSpec, name: core.serialization.string(), description: core.serialization.string().optional(), readme: core.serialization.string().optional(), tags: core.serialization.list(core.serialization.string()).optional(), versionId: core.serialization.property("version_id", core.serialization.string()), type: core.serialization.stringLiteral("evaluator").optional(), environments: core.serialization.list(EnvironmentResponse).optional(), createdAt: core.serialization.property("created_at", core.serialization.date()), updatedAt: core.serialization.property("updated_at", core.serialization.date()), createdBy: core.serialization.property("created_by", UserResponse.optional()), committedBy: core.serialization.property("committed_by", UserResponse.optional()), committedAt: core.serialization.property("committed_at", core.serialization.date().optional()), status: VersionStatus, lastUsedAt: core.serialization.property("last_used_at", core.serialization.date()), versionLogsCount: core.serialization.property("version_logs_count", core.serialization.number()), totalLogsCount: core.serialization.property("total_logs_count", core.serialization.number()), inputs: core.serialization.list(InputResponse), evaluators: core.serialization .list(core.serialization.lazyObject(() => serializers.MonitoringEvaluatorResponse)) .optional(), evaluatorAggregates: core.serialization.property( "evaluator_aggregates", core.serialization.list(EvaluatorAggregate).optional(), ), attributes: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), }); export declare namespace EvaluatorResponse { export interface Raw { path: string; id: string; directory_id?: string | null; commit_message?: string | null; spec: EvaluatorResponseSpec.Raw; name: string; description?: string | null; readme?: string | null; tags?: string[] | null; version_id: string; type?: "evaluator" | null; environments?: EnvironmentResponse.Raw[] | null; created_at: string; updated_at: string; created_by?: (UserResponse.Raw | undefined) | null; committed_by?: (UserResponse.Raw | undefined) | null; committed_at?: string | null; status: VersionStatus.Raw; last_used_at: string; version_logs_count: number; total_logs_count: number; inputs: InputResponse.Raw[]; evaluators?: serializers.MonitoringEvaluatorResponse.Raw[] | null; evaluator_aggregates?: EvaluatorAggregate.Raw[] | null; attributes?: Record | null; } } humanloop-node-0.8.16/src/serialization/types/EvaluatorResponseSpec.ts000066400000000000000000000017211476356526200262300ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { LlmEvaluatorRequest } from "./LlmEvaluatorRequest"; import { CodeEvaluatorRequest } from "./CodeEvaluatorRequest"; import { HumanEvaluatorRequest } from "./HumanEvaluatorRequest"; import { ExternalEvaluatorRequest } from "./ExternalEvaluatorRequest"; export const EvaluatorResponseSpec: core.serialization.Schema< serializers.EvaluatorResponseSpec.Raw, Humanloop.EvaluatorResponseSpec > = core.serialization.undiscriminatedUnion([ LlmEvaluatorRequest, CodeEvaluatorRequest, HumanEvaluatorRequest, ExternalEvaluatorRequest, ]); export declare namespace EvaluatorResponseSpec { export type Raw = | LlmEvaluatorRequest.Raw | CodeEvaluatorRequest.Raw | HumanEvaluatorRequest.Raw | ExternalEvaluatorRequest.Raw; } humanloop-node-0.8.16/src/serialization/types/EvaluatorReturnTypeEnum.ts000066400000000000000000000010701476356526200265620ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const EvaluatorReturnTypeEnum: core.serialization.Schema< serializers.EvaluatorReturnTypeEnum.Raw, Humanloop.EvaluatorReturnTypeEnum > = core.serialization.enum_(["boolean", "number", "select", "multi_select", "text"]); export declare namespace EvaluatorReturnTypeEnum { export type Raw = "boolean" | "number" | "select" | "multi_select" | "text"; } humanloop-node-0.8.16/src/serialization/types/EvaluatorVersionId.ts000066400000000000000000000012341476356526200255200ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const EvaluatorVersionId: core.serialization.ObjectSchema< serializers.EvaluatorVersionId.Raw, Humanloop.EvaluatorVersionId > = core.serialization.object({ versionId: core.serialization.property("version_id", core.serialization.string()), orchestrated: core.serialization.boolean().optional(), }); export declare namespace EvaluatorVersionId { export interface Raw { version_id: string; orchestrated?: boolean | null; } } humanloop-node-0.8.16/src/serialization/types/EvaluatorsRequest.ts000066400000000000000000000006711476356526200254350ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const EvaluatorsRequest: core.serialization.Schema< serializers.EvaluatorsRequest.Raw, Humanloop.EvaluatorsRequest > = core.serialization.unknown(); export declare namespace EvaluatorsRequest { export type Raw = unknown; } humanloop-node-0.8.16/src/serialization/types/ExternalEvaluatorRequest.ts000066400000000000000000000034761476356526200267630ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { EvaluatorArgumentsType } from "./EvaluatorArgumentsType"; import { EvaluatorReturnTypeEnum } from "./EvaluatorReturnTypeEnum"; import { EvaluatorJudgmentOptionResponse } from "./EvaluatorJudgmentOptionResponse"; import { EvaluatorJudgmentNumberLimit } from "./EvaluatorJudgmentNumberLimit"; import { Valence } from "./Valence"; export const ExternalEvaluatorRequest: core.serialization.ObjectSchema< serializers.ExternalEvaluatorRequest.Raw, Humanloop.ExternalEvaluatorRequest > = core.serialization.object({ argumentsType: core.serialization.property("arguments_type", EvaluatorArgumentsType), returnType: core.serialization.property("return_type", EvaluatorReturnTypeEnum), attributes: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), options: core.serialization.list(EvaluatorJudgmentOptionResponse).optional(), numberLimits: core.serialization.property("number_limits", EvaluatorJudgmentNumberLimit.optional()), numberValence: core.serialization.property("number_valence", Valence.optional()), evaluatorType: core.serialization.property("evaluator_type", core.serialization.stringLiteral("external")), }); export declare namespace ExternalEvaluatorRequest { export interface Raw { arguments_type: EvaluatorArgumentsType.Raw; return_type: EvaluatorReturnTypeEnum.Raw; attributes?: Record | null; options?: EvaluatorJudgmentOptionResponse.Raw[] | null; number_limits?: EvaluatorJudgmentNumberLimit.Raw | null; number_valence?: Valence.Raw | null; evaluator_type: "external"; } } humanloop-node-0.8.16/src/serialization/types/FeedbackType.ts000066400000000000000000000006371476356526200242670ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const FeedbackType: core.serialization.Schema = core.serialization.unknown(); export declare namespace FeedbackType { export type Raw = unknown; } humanloop-node-0.8.16/src/serialization/types/FileEnvironmentResponse.ts000066400000000000000000000017451476356526200265650ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { EnvironmentTag } from "./EnvironmentTag"; import { FileEnvironmentResponseFile } from "./FileEnvironmentResponseFile"; export const FileEnvironmentResponse: core.serialization.ObjectSchema< serializers.FileEnvironmentResponse.Raw, Humanloop.FileEnvironmentResponse > = core.serialization.object({ id: core.serialization.string(), createdAt: core.serialization.property("created_at", core.serialization.date()), name: core.serialization.string(), tag: EnvironmentTag, file: FileEnvironmentResponseFile.optional(), }); export declare namespace FileEnvironmentResponse { export interface Raw { id: string; created_at: string; name: string; tag: EnvironmentTag.Raw; file?: FileEnvironmentResponseFile.Raw | null; } } humanloop-node-0.8.16/src/serialization/types/FileEnvironmentResponseFile.ts000066400000000000000000000020071476356526200273550ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { DatasetResponse } from "./DatasetResponse"; export const FileEnvironmentResponseFile: core.serialization.Schema< serializers.FileEnvironmentResponseFile.Raw, Humanloop.FileEnvironmentResponseFile > = core.serialization.undiscriminatedUnion([ core.serialization.lazyObject(() => serializers.PromptResponse), core.serialization.lazyObject(() => serializers.ToolResponse), DatasetResponse, core.serialization.lazyObject(() => serializers.EvaluatorResponse), core.serialization.lazyObject(() => serializers.FlowResponse), ]); export declare namespace FileEnvironmentResponseFile { export type Raw = | serializers.PromptResponse.Raw | serializers.ToolResponse.Raw | DatasetResponse.Raw | serializers.EvaluatorResponse.Raw | serializers.FlowResponse.Raw; } humanloop-node-0.8.16/src/serialization/types/FileId.ts000066400000000000000000000010641476356526200230700ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const FileId: core.serialization.ObjectSchema = core.serialization.object({ environment: core.serialization.string().optional(), id: core.serialization.string(), }); export declare namespace FileId { export interface Raw { environment?: string | null; id: string; } } humanloop-node-0.8.16/src/serialization/types/FilePath.ts000066400000000000000000000011001476356526200234170ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const FilePath: core.serialization.ObjectSchema = core.serialization.object({ environment: core.serialization.string().optional(), path: core.serialization.string(), }); export declare namespace FilePath { export interface Raw { environment?: string | null; path: string; } } humanloop-node-0.8.16/src/serialization/types/FileRequest.ts000066400000000000000000000011151476356526200241610ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const FileRequest: core.serialization.ObjectSchema = core.serialization.object({ id: core.serialization.string().optional(), path: core.serialization.string().optional(), }); export declare namespace FileRequest { export interface Raw { id?: string | null; path?: string | null; } } humanloop-node-0.8.16/src/serialization/types/FileType.ts000066400000000000000000000007541476356526200234620ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const FileType: core.serialization.Schema = core.serialization.enum_(["prompt", "tool", "dataset", "evaluator", "flow"]); export declare namespace FileType { export type Raw = "prompt" | "tool" | "dataset" | "evaluator" | "flow"; } humanloop-node-0.8.16/src/serialization/types/FilesToolType.ts000066400000000000000000000010731476356526200244760ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const FilesToolType: core.serialization.Schema = core.serialization.enum_(["pinecone_search", "google", "mock", "snippet", "json_schema", "get_api_call"]); export declare namespace FilesToolType { export type Raw = "pinecone_search" | "google" | "mock" | "snippet" | "json_schema" | "get_api_call"; } humanloop-node-0.8.16/src/serialization/types/FlowKernelRequest.ts000066400000000000000000000011261476356526200253540ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const FlowKernelRequest: core.serialization.ObjectSchema< serializers.FlowKernelRequest.Raw, Humanloop.FlowKernelRequest > = core.serialization.object({ attributes: core.serialization.record(core.serialization.string(), core.serialization.unknown()), }); export declare namespace FlowKernelRequest { export interface Raw { attributes: Record; } } humanloop-node-0.8.16/src/serialization/types/FlowLogResponse.ts000066400000000000000000000103541476356526200250260ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { ChatMessage } from "./ChatMessage"; import { LogStatus } from "./LogStatus"; export const FlowLogResponse: core.serialization.ObjectSchema< serializers.FlowLogResponse.Raw, Humanloop.FlowLogResponse > = core.serialization.object({ messages: core.serialization.list(ChatMessage).optional(), outputMessage: core.serialization.property("output_message", ChatMessage.optional()), startTime: core.serialization.property("start_time", core.serialization.date().optional()), endTime: core.serialization.property("end_time", core.serialization.date().optional()), output: core.serialization.string().optional(), createdAt: core.serialization.property("created_at", core.serialization.date().optional()), error: core.serialization.string().optional(), providerLatency: core.serialization.property("provider_latency", core.serialization.number().optional()), stdout: core.serialization.string().optional(), providerRequest: core.serialization.property( "provider_request", core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), ), providerResponse: core.serialization.property( "provider_response", core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), ), inputs: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), source: core.serialization.string().optional(), metadata: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), logStatus: core.serialization.property("log_status", LogStatus.optional()), sourceDatapointId: core.serialization.property("source_datapoint_id", core.serialization.string().optional()), traceParentId: core.serialization.property("trace_parent_id", core.serialization.string().optional()), batches: core.serialization.list(core.serialization.string()).optional(), user: core.serialization.string().optional(), environment: core.serialization.string().optional(), save: core.serialization.boolean().optional(), logId: core.serialization.property("log_id", core.serialization.string().optional()), id: core.serialization.string(), evaluatorLogs: core.serialization.property( "evaluator_logs", core.serialization.list(core.serialization.lazyObject(() => serializers.EvaluatorLogResponse)), ), traceFlowId: core.serialization.property("trace_flow_id", core.serialization.string().optional()), traceId: core.serialization.property("trace_id", core.serialization.string().optional()), traceChildren: core.serialization.property( "trace_children", core.serialization.list(core.serialization.lazy(() => serializers.LogResponse)).optional(), ), flow: core.serialization.lazyObject(() => serializers.FlowResponse), }); export declare namespace FlowLogResponse { export interface Raw { messages?: ChatMessage.Raw[] | null; output_message?: ChatMessage.Raw | null; start_time?: string | null; end_time?: string | null; output?: string | null; created_at?: string | null; error?: string | null; provider_latency?: number | null; stdout?: string | null; provider_request?: Record | null; provider_response?: Record | null; inputs?: Record | null; source?: string | null; metadata?: Record | null; log_status?: LogStatus.Raw | null; source_datapoint_id?: string | null; trace_parent_id?: string | null; batches?: string[] | null; user?: string | null; environment?: string | null; save?: boolean | null; log_id?: string | null; id: string; evaluator_logs: serializers.EvaluatorLogResponse.Raw[]; trace_flow_id?: string | null; trace_id?: string | null; trace_children?: serializers.LogResponse.Raw[] | null; flow: serializers.FlowResponse.Raw; } } humanloop-node-0.8.16/src/serialization/types/FlowResponse.ts000066400000000000000000000065201476356526200243640ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { EnvironmentResponse } from "./EnvironmentResponse"; import { UserResponse } from "./UserResponse"; import { VersionStatus } from "./VersionStatus"; import { EvaluatorAggregate } from "./EvaluatorAggregate"; export const FlowResponse: core.serialization.ObjectSchema = core.serialization.object({ path: core.serialization.string(), id: core.serialization.string(), directoryId: core.serialization.property("directory_id", core.serialization.string().optional()), attributes: core.serialization.record(core.serialization.string(), core.serialization.unknown()), commitMessage: core.serialization.property("commit_message", core.serialization.string().optional()), name: core.serialization.string(), description: core.serialization.string().optional(), readme: core.serialization.string().optional(), tags: core.serialization.list(core.serialization.string()).optional(), versionId: core.serialization.property("version_id", core.serialization.string()), type: core.serialization.stringLiteral("flow").optional(), environments: core.serialization.list(EnvironmentResponse).optional(), createdAt: core.serialization.property("created_at", core.serialization.date()), updatedAt: core.serialization.property("updated_at", core.serialization.date()), createdBy: core.serialization.property("created_by", UserResponse.optional()), committedBy: core.serialization.property("committed_by", UserResponse.optional()), committedAt: core.serialization.property("committed_at", core.serialization.date().optional()), status: VersionStatus, lastUsedAt: core.serialization.property("last_used_at", core.serialization.date()), versionLogsCount: core.serialization.property("version_logs_count", core.serialization.number()), evaluatorAggregates: core.serialization.property( "evaluator_aggregates", core.serialization.list(EvaluatorAggregate).optional(), ), evaluators: core.serialization .list(core.serialization.lazyObject(() => serializers.MonitoringEvaluatorResponse)) .optional(), }); export declare namespace FlowResponse { export interface Raw { path: string; id: string; directory_id?: string | null; attributes: Record; commit_message?: string | null; name: string; description?: string | null; readme?: string | null; tags?: string[] | null; version_id: string; type?: "flow" | null; environments?: EnvironmentResponse.Raw[] | null; created_at: string; updated_at: string; created_by?: (UserResponse.Raw | undefined) | null; committed_by?: (UserResponse.Raw | undefined) | null; committed_at?: string | null; status: VersionStatus.Raw; last_used_at: string; version_logs_count: number; evaluator_aggregates?: EvaluatorAggregate.Raw[] | null; evaluators?: serializers.MonitoringEvaluatorResponse.Raw[] | null; } } humanloop-node-0.8.16/src/serialization/types/FunctionTool.ts000066400000000000000000000011141476356526200243530ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const FunctionTool: core.serialization.ObjectSchema = core.serialization.object({ name: core.serialization.string(), arguments: core.serialization.string().optional(), }); export declare namespace FunctionTool { export interface Raw { name: string; arguments?: string | null; } } humanloop-node-0.8.16/src/serialization/types/FunctionToolChoice.ts000066400000000000000000000010041476356526200254640ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const FunctionToolChoice: core.serialization.ObjectSchema< serializers.FunctionToolChoice.Raw, Humanloop.FunctionToolChoice > = core.serialization.object({ name: core.serialization.string(), }); export declare namespace FunctionToolChoice { export interface Raw { name: string; } } humanloop-node-0.8.16/src/serialization/types/HttpValidationError.ts000066400000000000000000000011601476356526200256750ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { ValidationError } from "./ValidationError"; export const HttpValidationError: core.serialization.ObjectSchema< serializers.HttpValidationError.Raw, Humanloop.HttpValidationError > = core.serialization.object({ detail: core.serialization.list(ValidationError).optional(), }); export declare namespace HttpValidationError { export interface Raw { detail?: ValidationError.Raw[] | null; } } humanloop-node-0.8.16/src/serialization/types/HumanEvaluatorRequest.ts000066400000000000000000000036541476356526200262470ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { EvaluatorArgumentsType } from "./EvaluatorArgumentsType"; import { HumanEvaluatorRequestReturnType } from "./HumanEvaluatorRequestReturnType"; import { EvaluatorJudgmentOptionResponse } from "./EvaluatorJudgmentOptionResponse"; import { EvaluatorJudgmentNumberLimit } from "./EvaluatorJudgmentNumberLimit"; import { Valence } from "./Valence"; export const HumanEvaluatorRequest: core.serialization.ObjectSchema< serializers.HumanEvaluatorRequest.Raw, Humanloop.HumanEvaluatorRequest > = core.serialization.object({ argumentsType: core.serialization.property("arguments_type", EvaluatorArgumentsType), returnType: core.serialization.property("return_type", HumanEvaluatorRequestReturnType), attributes: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), options: core.serialization.list(EvaluatorJudgmentOptionResponse).optional(), numberLimits: core.serialization.property("number_limits", EvaluatorJudgmentNumberLimit.optional()), numberValence: core.serialization.property("number_valence", Valence.optional()), evaluatorType: core.serialization.property("evaluator_type", core.serialization.stringLiteral("human")), instructions: core.serialization.string().optional(), }); export declare namespace HumanEvaluatorRequest { export interface Raw { arguments_type: EvaluatorArgumentsType.Raw; return_type: HumanEvaluatorRequestReturnType.Raw; attributes?: Record | null; options?: EvaluatorJudgmentOptionResponse.Raw[] | null; number_limits?: EvaluatorJudgmentNumberLimit.Raw | null; number_valence?: Valence.Raw | null; evaluator_type: "human"; instructions?: string | null; } } humanloop-node-0.8.16/src/serialization/types/HumanEvaluatorRequestReturnType.ts000066400000000000000000000011301476356526200302740ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const HumanEvaluatorRequestReturnType: core.serialization.Schema< serializers.HumanEvaluatorRequestReturnType.Raw, Humanloop.HumanEvaluatorRequestReturnType > = core.serialization.enum_(["select", "multi_select", "text", "number", "boolean"]); export declare namespace HumanEvaluatorRequestReturnType { export type Raw = "select" | "multi_select" | "text" | "number" | "boolean"; } humanloop-node-0.8.16/src/serialization/types/ImageChatContent.ts000066400000000000000000000012351476356526200251110ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { ImageUrl } from "./ImageUrl"; export const ImageChatContent: core.serialization.ObjectSchema< serializers.ImageChatContent.Raw, Humanloop.ImageChatContent > = core.serialization.object({ type: core.serialization.stringLiteral("image_url"), imageUrl: core.serialization.property("image_url", ImageUrl), }); export declare namespace ImageChatContent { export interface Raw { type: "image_url"; image_url: ImageUrl.Raw; } } humanloop-node-0.8.16/src/serialization/types/ImageUrl.ts000066400000000000000000000011461476356526200234420ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { ImageUrlDetail } from "./ImageUrlDetail"; export const ImageUrl: core.serialization.ObjectSchema = core.serialization.object({ url: core.serialization.string(), detail: ImageUrlDetail.optional(), }); export declare namespace ImageUrl { export interface Raw { url: string; detail?: ImageUrlDetail.Raw | null; } } humanloop-node-0.8.16/src/serialization/types/ImageUrlDetail.ts000066400000000000000000000007141476356526200245650ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const ImageUrlDetail: core.serialization.Schema = core.serialization.enum_(["high", "low", "auto"]); export declare namespace ImageUrlDetail { export type Raw = "high" | "low" | "auto"; } humanloop-node-0.8.16/src/serialization/types/InputResponse.ts000066400000000000000000000007621476356526200245560ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const InputResponse: core.serialization.ObjectSchema = core.serialization.object({ name: core.serialization.string(), }); export declare namespace InputResponse { export interface Raw { name: string; } } humanloop-node-0.8.16/src/serialization/types/LinkedToolResponse.ts000066400000000000000000000017671476356526200255310ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const LinkedToolResponse: core.serialization.ObjectSchema< serializers.LinkedToolResponse.Raw, Humanloop.LinkedToolResponse > = core.serialization.object({ name: core.serialization.string(), description: core.serialization.string(), strict: core.serialization.boolean().optional(), parameters: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), id: core.serialization.string(), versionId: core.serialization.property("version_id", core.serialization.string()), }); export declare namespace LinkedToolResponse { export interface Raw { name: string; description: string; strict?: boolean | null; parameters?: Record | null; id: string; version_id: string; } } humanloop-node-0.8.16/src/serialization/types/ListDatasets.ts000066400000000000000000000011051476356526200243340ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { DatasetResponse } from "./DatasetResponse"; export const ListDatasets: core.serialization.ObjectSchema = core.serialization.object({ records: core.serialization.list(DatasetResponse), }); export declare namespace ListDatasets { export interface Raw { records: DatasetResponse.Raw[]; } } humanloop-node-0.8.16/src/serialization/types/ListEvaluators.ts000066400000000000000000000011311476356526200247100ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const ListEvaluators: core.serialization.ObjectSchema = core.serialization.object({ records: core.serialization.list(core.serialization.lazyObject(() => serializers.EvaluatorResponse)), }); export declare namespace ListEvaluators { export interface Raw { records: serializers.EvaluatorResponse.Raw[]; } } humanloop-node-0.8.16/src/serialization/types/ListFlows.ts000066400000000000000000000010731476356526200236620ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const ListFlows: core.serialization.ObjectSchema = core.serialization.object({ records: core.serialization.list(core.serialization.lazyObject(() => serializers.FlowResponse)), }); export declare namespace ListFlows { export interface Raw { records: serializers.FlowResponse.Raw[]; } } humanloop-node-0.8.16/src/serialization/types/ListPrompts.ts000066400000000000000000000011071476356526200242320ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const ListPrompts: core.serialization.ObjectSchema = core.serialization.object({ records: core.serialization.list(core.serialization.lazyObject(() => serializers.PromptResponse)), }); export declare namespace ListPrompts { export interface Raw { records: serializers.PromptResponse.Raw[]; } } humanloop-node-0.8.16/src/serialization/types/ListTools.ts000066400000000000000000000010731476356526200236700ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const ListTools: core.serialization.ObjectSchema = core.serialization.object({ records: core.serialization.list(core.serialization.lazyObject(() => serializers.ToolResponse)), }); export declare namespace ListTools { export interface Raw { records: serializers.ToolResponse.Raw[]; } } humanloop-node-0.8.16/src/serialization/types/LlmEvaluatorRequest.ts000066400000000000000000000036721476356526200257230ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { EvaluatorArgumentsType } from "./EvaluatorArgumentsType"; import { EvaluatorReturnTypeEnum } from "./EvaluatorReturnTypeEnum"; import { EvaluatorJudgmentOptionResponse } from "./EvaluatorJudgmentOptionResponse"; import { EvaluatorJudgmentNumberLimit } from "./EvaluatorJudgmentNumberLimit"; import { Valence } from "./Valence"; import { PromptKernelRequest } from "./PromptKernelRequest"; export const LlmEvaluatorRequest: core.serialization.ObjectSchema< serializers.LlmEvaluatorRequest.Raw, Humanloop.LlmEvaluatorRequest > = core.serialization.object({ argumentsType: core.serialization.property("arguments_type", EvaluatorArgumentsType), returnType: core.serialization.property("return_type", EvaluatorReturnTypeEnum), attributes: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), options: core.serialization.list(EvaluatorJudgmentOptionResponse).optional(), numberLimits: core.serialization.property("number_limits", EvaluatorJudgmentNumberLimit.optional()), numberValence: core.serialization.property("number_valence", Valence.optional()), evaluatorType: core.serialization.property("evaluator_type", core.serialization.stringLiteral("llm")), prompt: PromptKernelRequest.optional(), }); export declare namespace LlmEvaluatorRequest { export interface Raw { arguments_type: EvaluatorArgumentsType.Raw; return_type: EvaluatorReturnTypeEnum.Raw; attributes?: Record | null; options?: EvaluatorJudgmentOptionResponse.Raw[] | null; number_limits?: EvaluatorJudgmentNumberLimit.Raw | null; number_valence?: Valence.Raw | null; evaluator_type: "llm"; prompt?: PromptKernelRequest.Raw | null; } } humanloop-node-0.8.16/src/serialization/types/LogResponse.ts000066400000000000000000000016051476356526200241750ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const LogResponse: core.serialization.Schema = core.serialization.undiscriminatedUnion([ core.serialization.lazyObject(() => serializers.PromptLogResponse), core.serialization.lazyObject(() => serializers.ToolLogResponse), core.serialization.lazyObject(() => serializers.EvaluatorLogResponse), core.serialization.lazyObject(() => serializers.FlowLogResponse), ]); export declare namespace LogResponse { export type Raw = | serializers.PromptLogResponse.Raw | serializers.ToolLogResponse.Raw | serializers.EvaluatorLogResponse.Raw | serializers.FlowLogResponse.Raw; } humanloop-node-0.8.16/src/serialization/types/LogStatus.ts000066400000000000000000000006751476356526200236700ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const LogStatus: core.serialization.Schema = core.serialization.enum_(["complete", "incomplete"]); export declare namespace LogStatus { export type Raw = "complete" | "incomplete"; } humanloop-node-0.8.16/src/serialization/types/ModelEndpoints.ts000066400000000000000000000007261476356526200246640ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const ModelEndpoints: core.serialization.Schema = core.serialization.enum_(["complete", "chat", "edit"]); export declare namespace ModelEndpoints { export type Raw = "complete" | "chat" | "edit"; } humanloop-node-0.8.16/src/serialization/types/ModelProviders.ts000066400000000000000000000014541476356526200246750ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const ModelProviders: core.serialization.Schema = core.serialization.enum_([ "openai", "openai_azure", "mock", "anthropic", "bedrock", "cohere", "replicate", "google", "groq", "deepseek", ]); export declare namespace ModelProviders { export type Raw = | "openai" | "openai_azure" | "mock" | "anthropic" | "bedrock" | "cohere" | "replicate" | "google" | "groq" | "deepseek"; } humanloop-node-0.8.16/src/serialization/types/MonitoringEvaluatorEnvironmentRequest.ts000066400000000000000000000014131476356526200315400ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const MonitoringEvaluatorEnvironmentRequest: core.serialization.ObjectSchema< serializers.MonitoringEvaluatorEnvironmentRequest.Raw, Humanloop.MonitoringEvaluatorEnvironmentRequest > = core.serialization.object({ evaluatorId: core.serialization.property("evaluator_id", core.serialization.string()), environmentId: core.serialization.property("environment_id", core.serialization.string()), }); export declare namespace MonitoringEvaluatorEnvironmentRequest { export interface Raw { evaluator_id: string; environment_id: string; } } humanloop-node-0.8.16/src/serialization/types/MonitoringEvaluatorResponse.ts000066400000000000000000000023471476356526200274700ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { MonitoringEvaluatorState } from "./MonitoringEvaluatorState"; export const MonitoringEvaluatorResponse: core.serialization.ObjectSchema< serializers.MonitoringEvaluatorResponse.Raw, Humanloop.MonitoringEvaluatorResponse > = core.serialization.object({ versionReference: core.serialization.property( "version_reference", core.serialization.lazy(() => serializers.VersionReferenceResponse), ), version: core.serialization.lazyObject(() => serializers.EvaluatorResponse).optional(), state: MonitoringEvaluatorState, createdAt: core.serialization.property("created_at", core.serialization.date()), updatedAt: core.serialization.property("updated_at", core.serialization.date()), }); export declare namespace MonitoringEvaluatorResponse { export interface Raw { version_reference: serializers.VersionReferenceResponse.Raw; version?: serializers.EvaluatorResponse.Raw | null; state: MonitoringEvaluatorState.Raw; created_at: string; updated_at: string; } } humanloop-node-0.8.16/src/serialization/types/MonitoringEvaluatorState.ts000066400000000000000000000007671476356526200267560ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const MonitoringEvaluatorState: core.serialization.Schema< serializers.MonitoringEvaluatorState.Raw, Humanloop.MonitoringEvaluatorState > = core.serialization.enum_(["active", "inactive"]); export declare namespace MonitoringEvaluatorState { export type Raw = "active" | "inactive"; } humanloop-node-0.8.16/src/serialization/types/MonitoringEvaluatorVersionRequest.ts000066400000000000000000000012231476356526200306600ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const MonitoringEvaluatorVersionRequest: core.serialization.ObjectSchema< serializers.MonitoringEvaluatorVersionRequest.Raw, Humanloop.MonitoringEvaluatorVersionRequest > = core.serialization.object({ evaluatorVersionId: core.serialization.property("evaluator_version_id", core.serialization.string()), }); export declare namespace MonitoringEvaluatorVersionRequest { export interface Raw { evaluator_version_id: string; } } humanloop-node-0.8.16/src/serialization/types/NumericEvaluatorStatsResponse.ts000066400000000000000000000027241476356526200277630ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const NumericEvaluatorStatsResponse: core.serialization.ObjectSchema< serializers.NumericEvaluatorStatsResponse.Raw, Humanloop.NumericEvaluatorStatsResponse > = core.serialization.object({ evaluatorVersionId: core.serialization.property("evaluator_version_id", core.serialization.string()), totalLogs: core.serialization.property("total_logs", core.serialization.number()), numJudgments: core.serialization.property("num_judgments", core.serialization.number()), numNulls: core.serialization.property("num_nulls", core.serialization.number()), numErrors: core.serialization.property("num_errors", core.serialization.number()), mean: core.serialization.number().optional(), sum: core.serialization.number().optional(), std: core.serialization.number().optional(), percentiles: core.serialization.record(core.serialization.string(), core.serialization.number()), }); export declare namespace NumericEvaluatorStatsResponse { export interface Raw { evaluator_version_id: string; total_logs: number; num_judgments: number; num_nulls: number; num_errors: number; mean?: number | null; sum?: number | null; std?: number | null; percentiles: Record; } } humanloop-node-0.8.16/src/serialization/types/ObservabilityStatus.ts000066400000000000000000000010231476356526200257510ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const ObservabilityStatus: core.serialization.Schema< serializers.ObservabilityStatus.Raw, Humanloop.ObservabilityStatus > = core.serialization.enum_(["pending", "running", "completed", "failed"]); export declare namespace ObservabilityStatus { export type Raw = "pending" | "running" | "completed" | "failed"; } humanloop-node-0.8.16/src/serialization/types/OverallStats.ts000066400000000000000000000023051476356526200243560ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const OverallStats: core.serialization.ObjectSchema = core.serialization.object({ numDatapoints: core.serialization.property("num_datapoints", core.serialization.number()), totalLogs: core.serialization.property("total_logs", core.serialization.number()), totalEvaluatorLogs: core.serialization.property("total_evaluator_logs", core.serialization.number()), totalHumanEvaluatorLogs: core.serialization.property("total_human_evaluator_logs", core.serialization.number()), totalCompletedHumanEvaluatorLogs: core.serialization.property( "total_completed_human_evaluator_logs", core.serialization.number(), ), }); export declare namespace OverallStats { export interface Raw { num_datapoints: number; total_logs: number; total_evaluator_logs: number; total_human_evaluator_logs: number; total_completed_human_evaluator_logs: number; } } humanloop-node-0.8.16/src/serialization/types/PaginatedDataEvaluationLogResponse.ts000066400000000000000000000015541476356526200306370ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { EvaluationLogResponse } from "./EvaluationLogResponse"; export const PaginatedDataEvaluationLogResponse: core.serialization.ObjectSchema< serializers.PaginatedDataEvaluationLogResponse.Raw, Humanloop.PaginatedDataEvaluationLogResponse > = core.serialization.object({ records: core.serialization.list(EvaluationLogResponse), page: core.serialization.number(), size: core.serialization.number(), total: core.serialization.number(), }); export declare namespace PaginatedDataEvaluationLogResponse { export interface Raw { records: EvaluationLogResponse.Raw[]; page: number; size: number; total: number; } } humanloop-node-0.8.16/src/serialization/types/PaginatedDataEvaluatorResponse.ts000066400000000000000000000015201476356526200300210ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const PaginatedDataEvaluatorResponse: core.serialization.ObjectSchema< serializers.PaginatedDataEvaluatorResponse.Raw, Humanloop.PaginatedDataEvaluatorResponse > = core.serialization.object({ records: core.serialization.list(core.serialization.lazyObject(() => serializers.EvaluatorResponse)), page: core.serialization.number(), size: core.serialization.number(), total: core.serialization.number(), }); export declare namespace PaginatedDataEvaluatorResponse { export interface Raw { records: serializers.EvaluatorResponse.Raw[]; page: number; size: number; total: number; } } humanloop-node-0.8.16/src/serialization/types/PaginatedDataFlowResponse.ts000066400000000000000000000014621476356526200267730ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const PaginatedDataFlowResponse: core.serialization.ObjectSchema< serializers.PaginatedDataFlowResponse.Raw, Humanloop.PaginatedDataFlowResponse > = core.serialization.object({ records: core.serialization.list(core.serialization.lazyObject(() => serializers.FlowResponse)), page: core.serialization.number(), size: core.serialization.number(), total: core.serialization.number(), }); export declare namespace PaginatedDataFlowResponse { export interface Raw { records: serializers.FlowResponse.Raw[]; page: number; size: number; total: number; } } humanloop-node-0.8.16/src/serialization/types/PaginatedDataLogResponse.ts000066400000000000000000000014461476356526200266070ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const PaginatedDataLogResponse: core.serialization.ObjectSchema< serializers.PaginatedDataLogResponse.Raw, Humanloop.PaginatedDataLogResponse > = core.serialization.object({ records: core.serialization.list(core.serialization.lazy(() => serializers.LogResponse)), page: core.serialization.number(), size: core.serialization.number(), total: core.serialization.number(), }); export declare namespace PaginatedDataLogResponse { export interface Raw { records: serializers.LogResponse.Raw[]; page: number; size: number; total: number; } } humanloop-node-0.8.16/src/serialization/types/PaginatedDataPromptResponse.ts000066400000000000000000000014761476356526200273520ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const PaginatedDataPromptResponse: core.serialization.ObjectSchema< serializers.PaginatedDataPromptResponse.Raw, Humanloop.PaginatedDataPromptResponse > = core.serialization.object({ records: core.serialization.list(core.serialization.lazyObject(() => serializers.PromptResponse)), page: core.serialization.number(), size: core.serialization.number(), total: core.serialization.number(), }); export declare namespace PaginatedDataPromptResponse { export interface Raw { records: serializers.PromptResponse.Raw[]; page: number; size: number; total: number; } } humanloop-node-0.8.16/src/serialization/types/PaginatedDataToolResponse.ts000066400000000000000000000014621476356526200270010ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const PaginatedDataToolResponse: core.serialization.ObjectSchema< serializers.PaginatedDataToolResponse.Raw, Humanloop.PaginatedDataToolResponse > = core.serialization.object({ records: core.serialization.list(core.serialization.lazyObject(() => serializers.ToolResponse)), page: core.serialization.number(), size: core.serialization.number(), total: core.serialization.number(), }); export declare namespace PaginatedDataToolResponse { export interface Raw { records: serializers.ToolResponse.Raw[]; page: number; size: number; total: number; } } PaginatedDataUnionPromptResponseToolResponseDatasetResponseEvaluatorResponseFlowResponse.ts000066400000000000000000000026131476356526200436510ustar00rootroot00000000000000humanloop-node-0.8.16/src/serialization/types/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { PaginatedDataUnionPromptResponseToolResponseDatasetResponseEvaluatorResponseFlowResponseRecordsItem } from "./PaginatedDataUnionPromptResponseToolResponseDatasetResponseEvaluatorResponseFlowResponseRecordsItem"; export const PaginatedDataUnionPromptResponseToolResponseDatasetResponseEvaluatorResponseFlowResponse: core.serialization.ObjectSchema< serializers.PaginatedDataUnionPromptResponseToolResponseDatasetResponseEvaluatorResponseFlowResponse.Raw, Humanloop.PaginatedDataUnionPromptResponseToolResponseDatasetResponseEvaluatorResponseFlowResponse > = core.serialization.object({ records: core.serialization.list( PaginatedDataUnionPromptResponseToolResponseDatasetResponseEvaluatorResponseFlowResponseRecordsItem, ), page: core.serialization.number(), size: core.serialization.number(), total: core.serialization.number(), }); export declare namespace PaginatedDataUnionPromptResponseToolResponseDatasetResponseEvaluatorResponseFlowResponse { export interface Raw { records: PaginatedDataUnionPromptResponseToolResponseDatasetResponseEvaluatorResponseFlowResponseRecordsItem.Raw[]; page: number; size: number; total: number; } } 6013cb4ba251e88cff8df5c19feef4ece8d24b31.paxheader00006660000000000000000000000236147635652620021120xustar00rootroot00000000000000158 path=humanloop-node-0.8.16/src/serialization/types/PaginatedDataUnionPromptResponseToolResponseDatasetResponseEvaluatorResponseFlowResponseRecordsItem.ts 6013cb4ba251e88cff8df5c19feef4ece8d24b31.data000066400000000000000000000024471476356526200177640ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { DatasetResponse } from "./DatasetResponse"; export const PaginatedDataUnionPromptResponseToolResponseDatasetResponseEvaluatorResponseFlowResponseRecordsItem: core.serialization.Schema< serializers.PaginatedDataUnionPromptResponseToolResponseDatasetResponseEvaluatorResponseFlowResponseRecordsItem.Raw, Humanloop.PaginatedDataUnionPromptResponseToolResponseDatasetResponseEvaluatorResponseFlowResponseRecordsItem > = core.serialization.undiscriminatedUnion([ core.serialization.lazyObject(() => serializers.PromptResponse), core.serialization.lazyObject(() => serializers.ToolResponse), DatasetResponse, core.serialization.lazyObject(() => serializers.EvaluatorResponse), core.serialization.lazyObject(() => serializers.FlowResponse), ]); export declare namespace PaginatedDataUnionPromptResponseToolResponseDatasetResponseEvaluatorResponseFlowResponseRecordsItem { export type Raw = | serializers.PromptResponse.Raw | serializers.ToolResponse.Raw | DatasetResponse.Raw | serializers.EvaluatorResponse.Raw | serializers.FlowResponse.Raw; } humanloop-node-0.8.16/src/serialization/types/PaginatedDatapointResponse.ts000066400000000000000000000014741476356526200272200ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { DatapointResponse } from "./DatapointResponse"; export const PaginatedDatapointResponse: core.serialization.ObjectSchema< serializers.PaginatedDatapointResponse.Raw, Humanloop.PaginatedDatapointResponse > = core.serialization.object({ records: core.serialization.list(DatapointResponse), page: core.serialization.number(), size: core.serialization.number(), total: core.serialization.number(), }); export declare namespace PaginatedDatapointResponse { export interface Raw { records: DatapointResponse.Raw[]; page: number; size: number; total: number; } } humanloop-node-0.8.16/src/serialization/types/PaginatedDatasetResponse.ts000066400000000000000000000014541476356526200266600ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { DatasetResponse } from "./DatasetResponse"; export const PaginatedDatasetResponse: core.serialization.ObjectSchema< serializers.PaginatedDatasetResponse.Raw, Humanloop.PaginatedDatasetResponse > = core.serialization.object({ records: core.serialization.list(DatasetResponse), page: core.serialization.number(), size: core.serialization.number(), total: core.serialization.number(), }); export declare namespace PaginatedDatasetResponse { export interface Raw { records: DatasetResponse.Raw[]; page: number; size: number; total: number; } } humanloop-node-0.8.16/src/serialization/types/PaginatedEvaluationResponse.ts000066400000000000000000000015041476356526200273760ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { EvaluationResponse } from "./EvaluationResponse"; export const PaginatedEvaluationResponse: core.serialization.ObjectSchema< serializers.PaginatedEvaluationResponse.Raw, Humanloop.PaginatedEvaluationResponse > = core.serialization.object({ records: core.serialization.list(EvaluationResponse), page: core.serialization.number(), size: core.serialization.number(), total: core.serialization.number(), }); export declare namespace PaginatedEvaluationResponse { export interface Raw { records: EvaluationResponse.Raw[]; page: number; size: number; total: number; } } humanloop-node-0.8.16/src/serialization/types/PaginatedPromptLogResponse.ts000066400000000000000000000007351476356526200272170ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const PaginatedPromptLogResponse: core.serialization.Schema< serializers.PaginatedPromptLogResponse.Raw, Humanloop.PaginatedPromptLogResponse > = core.serialization.unknown(); export declare namespace PaginatedPromptLogResponse { export type Raw = unknown; } humanloop-node-0.8.16/src/serialization/types/PaginatedSessionResponse.ts000066400000000000000000000007251476356526200267160ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const PaginatedSessionResponse: core.serialization.Schema< serializers.PaginatedSessionResponse.Raw, Humanloop.PaginatedSessionResponse > = core.serialization.unknown(); export declare namespace PaginatedSessionResponse { export type Raw = unknown; } humanloop-node-0.8.16/src/serialization/types/PlatformAccessEnum.ts000066400000000000000000000010001476356526200254550ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const PlatformAccessEnum: core.serialization.Schema< serializers.PlatformAccessEnum.Raw, Humanloop.PlatformAccessEnum > = core.serialization.enum_(["superadmin", "supportadmin", "user"]); export declare namespace PlatformAccessEnum { export type Raw = "superadmin" | "supportadmin" | "user"; } humanloop-node-0.8.16/src/serialization/types/ProjectSortBy.ts000066400000000000000000000007421476356526200245070ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const ProjectSortBy: core.serialization.Schema = core.serialization.enum_(["created_at", "updated_at", "name"]); export declare namespace ProjectSortBy { export type Raw = "created_at" | "updated_at" | "name"; } humanloop-node-0.8.16/src/serialization/types/PromptCallLogResponse.ts000066400000000000000000000040671476356526200262000ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { ChatMessage } from "./ChatMessage"; export const PromptCallLogResponse: core.serialization.ObjectSchema< serializers.PromptCallLogResponse.Raw, Humanloop.PromptCallLogResponse > = core.serialization.object({ output: core.serialization.string().optional(), createdAt: core.serialization.property("created_at", core.serialization.date().optional()), error: core.serialization.string().optional(), providerLatency: core.serialization.property("provider_latency", core.serialization.number().optional()), stdout: core.serialization.string().optional(), outputMessage: core.serialization.property("output_message", ChatMessage.optional()), promptTokens: core.serialization.property("prompt_tokens", core.serialization.number().optional()), reasoningTokens: core.serialization.property("reasoning_tokens", core.serialization.number().optional()), outputTokens: core.serialization.property("output_tokens", core.serialization.number().optional()), promptCost: core.serialization.property("prompt_cost", core.serialization.number().optional()), outputCost: core.serialization.property("output_cost", core.serialization.number().optional()), finishReason: core.serialization.property("finish_reason", core.serialization.string().optional()), index: core.serialization.number(), }); export declare namespace PromptCallLogResponse { export interface Raw { output?: string | null; created_at?: string | null; error?: string | null; provider_latency?: number | null; stdout?: string | null; output_message?: ChatMessage.Raw | null; prompt_tokens?: number | null; reasoning_tokens?: number | null; output_tokens?: number | null; prompt_cost?: number | null; output_cost?: number | null; finish_reason?: string | null; index: number; } } humanloop-node-0.8.16/src/serialization/types/PromptCallResponse.ts000066400000000000000000000054271476356526200255370ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { ChatMessage } from "./ChatMessage"; import { PromptCallResponseToolChoice } from "./PromptCallResponseToolChoice"; import { LogStatus } from "./LogStatus"; import { PromptCallLogResponse } from "./PromptCallLogResponse"; export const PromptCallResponse: core.serialization.ObjectSchema< serializers.PromptCallResponse.Raw, Humanloop.PromptCallResponse > = core.serialization.object({ startTime: core.serialization.property("start_time", core.serialization.date().optional()), endTime: core.serialization.property("end_time", core.serialization.date().optional()), messages: core.serialization.list(ChatMessage).optional(), toolChoice: core.serialization.property("tool_choice", PromptCallResponseToolChoice.optional()), prompt: core.serialization.lazyObject(() => serializers.PromptResponse), inputs: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), source: core.serialization.string().optional(), metadata: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), logStatus: core.serialization.property("log_status", LogStatus.optional()), sourceDatapointId: core.serialization.property("source_datapoint_id", core.serialization.string().optional()), traceParentId: core.serialization.property("trace_parent_id", core.serialization.string().optional()), user: core.serialization.string().optional(), environment: core.serialization.string().optional(), save: core.serialization.boolean().optional(), logId: core.serialization.property("log_id", core.serialization.string().optional()), id: core.serialization.string(), traceId: core.serialization.property("trace_id", core.serialization.string().optional()), logs: core.serialization.list(PromptCallLogResponse), }); export declare namespace PromptCallResponse { export interface Raw { start_time?: string | null; end_time?: string | null; messages?: ChatMessage.Raw[] | null; tool_choice?: PromptCallResponseToolChoice.Raw | null; prompt: serializers.PromptResponse.Raw; inputs?: Record | null; source?: string | null; metadata?: Record | null; log_status?: LogStatus.Raw | null; source_datapoint_id?: string | null; trace_parent_id?: string | null; user?: string | null; environment?: string | null; save?: boolean | null; log_id?: string | null; id: string; trace_id?: string | null; logs: PromptCallLogResponse.Raw[]; } } humanloop-node-0.8.16/src/serialization/types/PromptCallResponseToolChoice.ts000066400000000000000000000013441476356526200275020ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { ToolChoice } from "./ToolChoice"; export const PromptCallResponseToolChoice: core.serialization.Schema< serializers.PromptCallResponseToolChoice.Raw, Humanloop.PromptCallResponseToolChoice > = core.serialization.undiscriminatedUnion([ core.serialization.stringLiteral("none"), core.serialization.stringLiteral("auto"), core.serialization.stringLiteral("required"), ToolChoice, ]); export declare namespace PromptCallResponseToolChoice { export type Raw = "none" | "auto" | "required" | ToolChoice.Raw; } humanloop-node-0.8.16/src/serialization/types/PromptCallStreamResponse.ts000066400000000000000000000045371476356526200267140ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { ChatMessage } from "./ChatMessage"; export const PromptCallStreamResponse: core.serialization.ObjectSchema< serializers.PromptCallStreamResponse.Raw, Humanloop.PromptCallStreamResponse > = core.serialization.object({ output: core.serialization.string().optional(), createdAt: core.serialization.property("created_at", core.serialization.date().optional()), error: core.serialization.string().optional(), providerLatency: core.serialization.property("provider_latency", core.serialization.number().optional()), stdout: core.serialization.string().optional(), outputMessage: core.serialization.property("output_message", ChatMessage.optional()), promptTokens: core.serialization.property("prompt_tokens", core.serialization.number().optional()), reasoningTokens: core.serialization.property("reasoning_tokens", core.serialization.number().optional()), outputTokens: core.serialization.property("output_tokens", core.serialization.number().optional()), promptCost: core.serialization.property("prompt_cost", core.serialization.number().optional()), outputCost: core.serialization.property("output_cost", core.serialization.number().optional()), finishReason: core.serialization.property("finish_reason", core.serialization.string().optional()), index: core.serialization.number(), id: core.serialization.string(), promptId: core.serialization.property("prompt_id", core.serialization.string()), versionId: core.serialization.property("version_id", core.serialization.string()), }); export declare namespace PromptCallStreamResponse { export interface Raw { output?: string | null; created_at?: string | null; error?: string | null; provider_latency?: number | null; stdout?: string | null; output_message?: ChatMessage.Raw | null; prompt_tokens?: number | null; reasoning_tokens?: number | null; output_tokens?: number | null; prompt_cost?: number | null; output_cost?: number | null; finish_reason?: string | null; index: number; id: string; prompt_id: string; version_id: string; } } humanloop-node-0.8.16/src/serialization/types/PromptKernelRequest.ts000066400000000000000000000061411476356526200257300ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { ModelEndpoints } from "./ModelEndpoints"; import { PromptKernelRequestTemplate } from "./PromptKernelRequestTemplate"; import { TemplateLanguage } from "./TemplateLanguage"; import { ModelProviders } from "./ModelProviders"; import { PromptKernelRequestStop } from "./PromptKernelRequestStop"; import { ResponseFormat } from "./ResponseFormat"; import { ReasoningEffort } from "./ReasoningEffort"; import { ToolFunction } from "./ToolFunction"; export const PromptKernelRequest: core.serialization.ObjectSchema< serializers.PromptKernelRequest.Raw, Humanloop.PromptKernelRequest > = core.serialization.object({ model: core.serialization.string(), endpoint: ModelEndpoints.optional(), template: PromptKernelRequestTemplate.optional(), templateLanguage: core.serialization.property("template_language", TemplateLanguage.optional()), provider: ModelProviders.optional(), maxTokens: core.serialization.property("max_tokens", core.serialization.number().optional()), temperature: core.serialization.number().optional(), topP: core.serialization.property("top_p", core.serialization.number().optional()), stop: PromptKernelRequestStop.optional(), presencePenalty: core.serialization.property("presence_penalty", core.serialization.number().optional()), frequencyPenalty: core.serialization.property("frequency_penalty", core.serialization.number().optional()), other: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), seed: core.serialization.number().optional(), responseFormat: core.serialization.property("response_format", ResponseFormat.optional()), reasoningEffort: core.serialization.property("reasoning_effort", ReasoningEffort.optional()), tools: core.serialization.list(ToolFunction).optional(), linkedTools: core.serialization.property( "linked_tools", core.serialization.list(core.serialization.string()).optional(), ), attributes: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), }); export declare namespace PromptKernelRequest { export interface Raw { model: string; endpoint?: ModelEndpoints.Raw | null; template?: PromptKernelRequestTemplate.Raw | null; template_language?: TemplateLanguage.Raw | null; provider?: ModelProviders.Raw | null; max_tokens?: number | null; temperature?: number | null; top_p?: number | null; stop?: PromptKernelRequestStop.Raw | null; presence_penalty?: number | null; frequency_penalty?: number | null; other?: Record | null; seed?: number | null; response_format?: ResponseFormat.Raw | null; reasoning_effort?: ReasoningEffort.Raw | null; tools?: ToolFunction.Raw[] | null; linked_tools?: string[] | null; attributes?: Record | null; } } humanloop-node-0.8.16/src/serialization/types/PromptKernelRequestStop.ts000066400000000000000000000011061476356526200265720ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const PromptKernelRequestStop: core.serialization.Schema< serializers.PromptKernelRequestStop.Raw, Humanloop.PromptKernelRequestStop > = core.serialization.undiscriminatedUnion([ core.serialization.string(), core.serialization.list(core.serialization.string()), ]); export declare namespace PromptKernelRequestStop { export type Raw = string | string[]; } humanloop-node-0.8.16/src/serialization/types/PromptKernelRequestTemplate.ts000066400000000000000000000011611476356526200274210ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { ChatMessage } from "./ChatMessage"; export const PromptKernelRequestTemplate: core.serialization.Schema< serializers.PromptKernelRequestTemplate.Raw, Humanloop.PromptKernelRequestTemplate > = core.serialization.undiscriminatedUnion([core.serialization.string(), core.serialization.list(ChatMessage)]); export declare namespace PromptKernelRequestTemplate { export type Raw = string | ChatMessage.Raw[]; } humanloop-node-0.8.16/src/serialization/types/PromptLogResponse.ts000066400000000000000000000125021476356526200253750ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { ChatMessage } from "./ChatMessage"; import { PromptLogResponseToolChoice } from "./PromptLogResponseToolChoice"; import { LogStatus } from "./LogStatus"; export const PromptLogResponse: core.serialization.ObjectSchema< serializers.PromptLogResponse.Raw, Humanloop.PromptLogResponse > = core.serialization.object({ outputMessage: core.serialization.property("output_message", ChatMessage.optional()), promptTokens: core.serialization.property("prompt_tokens", core.serialization.number().optional()), reasoningTokens: core.serialization.property("reasoning_tokens", core.serialization.number().optional()), outputTokens: core.serialization.property("output_tokens", core.serialization.number().optional()), promptCost: core.serialization.property("prompt_cost", core.serialization.number().optional()), outputCost: core.serialization.property("output_cost", core.serialization.number().optional()), finishReason: core.serialization.property("finish_reason", core.serialization.string().optional()), messages: core.serialization.list(ChatMessage).optional(), toolChoice: core.serialization.property("tool_choice", PromptLogResponseToolChoice.optional()), prompt: core.serialization.lazyObject(() => serializers.PromptResponse), startTime: core.serialization.property("start_time", core.serialization.date().optional()), endTime: core.serialization.property("end_time", core.serialization.date().optional()), output: core.serialization.string().optional(), createdAt: core.serialization.property("created_at", core.serialization.date().optional()), error: core.serialization.string().optional(), providerLatency: core.serialization.property("provider_latency", core.serialization.number().optional()), stdout: core.serialization.string().optional(), providerRequest: core.serialization.property( "provider_request", core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), ), providerResponse: core.serialization.property( "provider_response", core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), ), inputs: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), source: core.serialization.string().optional(), metadata: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), logStatus: core.serialization.property("log_status", LogStatus.optional()), sourceDatapointId: core.serialization.property("source_datapoint_id", core.serialization.string().optional()), traceParentId: core.serialization.property("trace_parent_id", core.serialization.string().optional()), batches: core.serialization.list(core.serialization.string()).optional(), user: core.serialization.string().optional(), environment: core.serialization.string().optional(), save: core.serialization.boolean().optional(), logId: core.serialization.property("log_id", core.serialization.string().optional()), id: core.serialization.string(), evaluatorLogs: core.serialization.property( "evaluator_logs", core.serialization.list(core.serialization.lazyObject(() => serializers.EvaluatorLogResponse)), ), traceFlowId: core.serialization.property("trace_flow_id", core.serialization.string().optional()), traceId: core.serialization.property("trace_id", core.serialization.string().optional()), traceChildren: core.serialization.property( "trace_children", core.serialization.list(core.serialization.lazy(() => serializers.LogResponse)).optional(), ), }); export declare namespace PromptLogResponse { export interface Raw { output_message?: ChatMessage.Raw | null; prompt_tokens?: number | null; reasoning_tokens?: number | null; output_tokens?: number | null; prompt_cost?: number | null; output_cost?: number | null; finish_reason?: string | null; messages?: ChatMessage.Raw[] | null; tool_choice?: PromptLogResponseToolChoice.Raw | null; prompt: serializers.PromptResponse.Raw; start_time?: string | null; end_time?: string | null; output?: string | null; created_at?: string | null; error?: string | null; provider_latency?: number | null; stdout?: string | null; provider_request?: Record | null; provider_response?: Record | null; inputs?: Record | null; source?: string | null; metadata?: Record | null; log_status?: LogStatus.Raw | null; source_datapoint_id?: string | null; trace_parent_id?: string | null; batches?: string[] | null; user?: string | null; environment?: string | null; save?: boolean | null; log_id?: string | null; id: string; evaluator_logs: serializers.EvaluatorLogResponse.Raw[]; trace_flow_id?: string | null; trace_id?: string | null; trace_children?: serializers.LogResponse.Raw[] | null; } } humanloop-node-0.8.16/src/serialization/types/PromptLogResponseToolChoice.ts000066400000000000000000000013401476356526200273440ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { ToolChoice } from "./ToolChoice"; export const PromptLogResponseToolChoice: core.serialization.Schema< serializers.PromptLogResponseToolChoice.Raw, Humanloop.PromptLogResponseToolChoice > = core.serialization.undiscriminatedUnion([ core.serialization.stringLiteral("none"), core.serialization.stringLiteral("auto"), core.serialization.stringLiteral("required"), ToolChoice, ]); export declare namespace PromptLogResponseToolChoice { export type Raw = "none" | "auto" | "required" | ToolChoice.Raw; } humanloop-node-0.8.16/src/serialization/types/PromptResponse.ts000066400000000000000000000143371476356526200247430ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { ModelEndpoints } from "./ModelEndpoints"; import { PromptResponseTemplate } from "./PromptResponseTemplate"; import { TemplateLanguage } from "./TemplateLanguage"; import { ModelProviders } from "./ModelProviders"; import { PromptResponseStop } from "./PromptResponseStop"; import { ResponseFormat } from "./ResponseFormat"; import { ReasoningEffort } from "./ReasoningEffort"; import { ToolFunction } from "./ToolFunction"; import { LinkedToolResponse } from "./LinkedToolResponse"; import { EnvironmentResponse } from "./EnvironmentResponse"; import { UserResponse } from "./UserResponse"; import { VersionStatus } from "./VersionStatus"; import { InputResponse } from "./InputResponse"; import { EvaluatorAggregate } from "./EvaluatorAggregate"; export const PromptResponse: core.serialization.ObjectSchema = core.serialization.object({ path: core.serialization.string(), id: core.serialization.string(), directoryId: core.serialization.property("directory_id", core.serialization.string().optional()), model: core.serialization.string(), endpoint: ModelEndpoints.optional(), template: PromptResponseTemplate.optional(), templateLanguage: core.serialization.property("template_language", TemplateLanguage.optional()), provider: ModelProviders.optional(), maxTokens: core.serialization.property("max_tokens", core.serialization.number().optional()), temperature: core.serialization.number().optional(), topP: core.serialization.property("top_p", core.serialization.number().optional()), stop: PromptResponseStop.optional(), presencePenalty: core.serialization.property("presence_penalty", core.serialization.number().optional()), frequencyPenalty: core.serialization.property("frequency_penalty", core.serialization.number().optional()), other: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), seed: core.serialization.number().optional(), responseFormat: core.serialization.property("response_format", ResponseFormat.optional()), reasoningEffort: core.serialization.property("reasoning_effort", ReasoningEffort.optional()), tools: core.serialization.list(ToolFunction).optional(), linkedTools: core.serialization.property( "linked_tools", core.serialization.list(LinkedToolResponse).optional(), ), attributes: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), commitMessage: core.serialization.property("commit_message", core.serialization.string().optional()), description: core.serialization.string().optional(), tags: core.serialization.list(core.serialization.string()).optional(), readme: core.serialization.string().optional(), name: core.serialization.string(), versionId: core.serialization.property("version_id", core.serialization.string()), type: core.serialization.stringLiteral("prompt").optional(), environments: core.serialization.list(EnvironmentResponse).optional(), createdAt: core.serialization.property("created_at", core.serialization.date()), updatedAt: core.serialization.property("updated_at", core.serialization.date()), createdBy: core.serialization.property("created_by", UserResponse.optional()), committedBy: core.serialization.property("committed_by", UserResponse.optional()), committedAt: core.serialization.property("committed_at", core.serialization.date().optional()), status: VersionStatus, lastUsedAt: core.serialization.property("last_used_at", core.serialization.date()), versionLogsCount: core.serialization.property("version_logs_count", core.serialization.number()), totalLogsCount: core.serialization.property("total_logs_count", core.serialization.number()), inputs: core.serialization.list(InputResponse), evaluators: core.serialization .list(core.serialization.lazyObject(() => serializers.MonitoringEvaluatorResponse)) .optional(), evaluatorAggregates: core.serialization.property( "evaluator_aggregates", core.serialization.list(EvaluatorAggregate).optional(), ), }); export declare namespace PromptResponse { export interface Raw { path: string; id: string; directory_id?: string | null; model: string; endpoint?: ModelEndpoints.Raw | null; template?: PromptResponseTemplate.Raw | null; template_language?: TemplateLanguage.Raw | null; provider?: ModelProviders.Raw | null; max_tokens?: number | null; temperature?: number | null; top_p?: number | null; stop?: PromptResponseStop.Raw | null; presence_penalty?: number | null; frequency_penalty?: number | null; other?: Record | null; seed?: number | null; response_format?: ResponseFormat.Raw | null; reasoning_effort?: ReasoningEffort.Raw | null; tools?: ToolFunction.Raw[] | null; linked_tools?: LinkedToolResponse.Raw[] | null; attributes?: Record | null; commit_message?: string | null; description?: string | null; tags?: string[] | null; readme?: string | null; name: string; version_id: string; type?: "prompt" | null; environments?: EnvironmentResponse.Raw[] | null; created_at: string; updated_at: string; created_by?: (UserResponse.Raw | undefined) | null; committed_by?: (UserResponse.Raw | undefined) | null; committed_at?: string | null; status: VersionStatus.Raw; last_used_at: string; version_logs_count: number; total_logs_count: number; inputs: InputResponse.Raw[]; evaluators?: serializers.MonitoringEvaluatorResponse.Raw[] | null; evaluator_aggregates?: EvaluatorAggregate.Raw[] | null; } } humanloop-node-0.8.16/src/serialization/types/PromptResponseStop.ts000066400000000000000000000010621476356526200256000ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const PromptResponseStop: core.serialization.Schema< serializers.PromptResponseStop.Raw, Humanloop.PromptResponseStop > = core.serialization.undiscriminatedUnion([ core.serialization.string(), core.serialization.list(core.serialization.string()), ]); export declare namespace PromptResponseStop { export type Raw = string | string[]; } humanloop-node-0.8.16/src/serialization/types/PromptResponseTemplate.ts000066400000000000000000000011351476356526200264270ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { ChatMessage } from "./ChatMessage"; export const PromptResponseTemplate: core.serialization.Schema< serializers.PromptResponseTemplate.Raw, Humanloop.PromptResponseTemplate > = core.serialization.undiscriminatedUnion([core.serialization.string(), core.serialization.list(ChatMessage)]); export declare namespace PromptResponseTemplate { export type Raw = string | ChatMessage.Raw[]; } humanloop-node-0.8.16/src/serialization/types/ProviderApiKeys.ts000066400000000000000000000024751476356526200250230ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const ProviderApiKeys: core.serialization.ObjectSchema< serializers.ProviderApiKeys.Raw, Humanloop.ProviderApiKeys > = core.serialization.object({ openai: core.serialization.string().optional(), ai21: core.serialization.string().optional(), mock: core.serialization.string().optional(), anthropic: core.serialization.string().optional(), deepseek: core.serialization.string().optional(), bedrock: core.serialization.string().optional(), cohere: core.serialization.string().optional(), openaiAzure: core.serialization.property("openai_azure", core.serialization.string().optional()), openaiAzureEndpoint: core.serialization.property("openai_azure_endpoint", core.serialization.string().optional()), }); export declare namespace ProviderApiKeys { export interface Raw { openai?: string | null; ai21?: string | null; mock?: string | null; anthropic?: string | null; deepseek?: string | null; bedrock?: string | null; cohere?: string | null; openai_azure?: string | null; openai_azure_endpoint?: string | null; } } humanloop-node-0.8.16/src/serialization/types/ReasoningEffort.ts000066400000000000000000000007241476356526200250310ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const ReasoningEffort: core.serialization.Schema = core.serialization.enum_(["high", "medium", "low"]); export declare namespace ReasoningEffort { export type Raw = "high" | "medium" | "low"; } humanloop-node-0.8.16/src/serialization/types/ResponseFormat.ts000066400000000000000000000014621476356526200247050ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { ResponseFormatType } from "./ResponseFormatType"; export const ResponseFormat: core.serialization.ObjectSchema = core.serialization.object({ type: ResponseFormatType, jsonSchema: core.serialization.property( "json_schema", core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), ), }); export declare namespace ResponseFormat { export interface Raw { type: ResponseFormatType.Raw; json_schema?: Record | null; } } humanloop-node-0.8.16/src/serialization/types/ResponseFormatType.ts000066400000000000000000000007571476356526200255550ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const ResponseFormatType: core.serialization.Schema< serializers.ResponseFormatType.Raw, Humanloop.ResponseFormatType > = core.serialization.enum_(["json_object", "json_schema"]); export declare namespace ResponseFormatType { export type Raw = "json_object" | "json_schema"; } humanloop-node-0.8.16/src/serialization/types/RunStatsResponse.ts000066400000000000000000000025121476356526200252350ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { RunStatsResponseEvaluatorStatsItem } from "./RunStatsResponseEvaluatorStatsItem"; import { EvaluationStatus } from "./EvaluationStatus"; export const RunStatsResponse: core.serialization.ObjectSchema< serializers.RunStatsResponse.Raw, Humanloop.RunStatsResponse > = core.serialization.object({ runId: core.serialization.property("run_id", core.serialization.string()), versionId: core.serialization.property("version_id", core.serialization.string().optional()), batchId: core.serialization.property("batch_id", core.serialization.string().optional()), numLogs: core.serialization.property("num_logs", core.serialization.number()), evaluatorStats: core.serialization.property( "evaluator_stats", core.serialization.list(RunStatsResponseEvaluatorStatsItem), ), status: EvaluationStatus, }); export declare namespace RunStatsResponse { export interface Raw { run_id: string; version_id?: string | null; batch_id?: string | null; num_logs: number; evaluator_stats: RunStatsResponseEvaluatorStatsItem.Raw[]; status: EvaluationStatus.Raw; } } humanloop-node-0.8.16/src/serialization/types/RunStatsResponseEvaluatorStatsItem.ts000066400000000000000000000021651476356526200307620ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { NumericEvaluatorStatsResponse } from "./NumericEvaluatorStatsResponse"; import { BooleanEvaluatorStatsResponse } from "./BooleanEvaluatorStatsResponse"; import { SelectEvaluatorStatsResponse } from "./SelectEvaluatorStatsResponse"; import { TextEvaluatorStatsResponse } from "./TextEvaluatorStatsResponse"; export const RunStatsResponseEvaluatorStatsItem: core.serialization.Schema< serializers.RunStatsResponseEvaluatorStatsItem.Raw, Humanloop.RunStatsResponseEvaluatorStatsItem > = core.serialization.undiscriminatedUnion([ NumericEvaluatorStatsResponse, BooleanEvaluatorStatsResponse, SelectEvaluatorStatsResponse, TextEvaluatorStatsResponse, ]); export declare namespace RunStatsResponseEvaluatorStatsItem { export type Raw = | NumericEvaluatorStatsResponse.Raw | BooleanEvaluatorStatsResponse.Raw | SelectEvaluatorStatsResponse.Raw | TextEvaluatorStatsResponse.Raw; } humanloop-node-0.8.16/src/serialization/types/RunVersionResponse.ts000066400000000000000000000015731476356526200255720ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const RunVersionResponse: core.serialization.Schema< serializers.RunVersionResponse.Raw, Humanloop.RunVersionResponse > = core.serialization.undiscriminatedUnion([ core.serialization.lazyObject(() => serializers.PromptResponse), core.serialization.lazyObject(() => serializers.ToolResponse), core.serialization.lazyObject(() => serializers.EvaluatorResponse), core.serialization.lazyObject(() => serializers.FlowResponse), ]); export declare namespace RunVersionResponse { export type Raw = | serializers.PromptResponse.Raw | serializers.ToolResponse.Raw | serializers.EvaluatorResponse.Raw | serializers.FlowResponse.Raw; } humanloop-node-0.8.16/src/serialization/types/SelectEvaluatorStatsResponse.ts000066400000000000000000000025131476356526200275740ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const SelectEvaluatorStatsResponse: core.serialization.ObjectSchema< serializers.SelectEvaluatorStatsResponse.Raw, Humanloop.SelectEvaluatorStatsResponse > = core.serialization.object({ evaluatorVersionId: core.serialization.property("evaluator_version_id", core.serialization.string()), totalLogs: core.serialization.property("total_logs", core.serialization.number()), numJudgments: core.serialization.property("num_judgments", core.serialization.number()), numNulls: core.serialization.property("num_nulls", core.serialization.number()), numErrors: core.serialization.property("num_errors", core.serialization.number()), numJudgmentsPerOption: core.serialization.property( "num_judgments_per_option", core.serialization.record(core.serialization.string(), core.serialization.number()), ), }); export declare namespace SelectEvaluatorStatsResponse { export interface Raw { evaluator_version_id: string; total_logs: number; num_judgments: number; num_nulls: number; num_errors: number; num_judgments_per_option: Record; } } humanloop-node-0.8.16/src/serialization/types/SortOrder.ts000066400000000000000000000006471476356526200236650ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const SortOrder: core.serialization.Schema = core.serialization.enum_(["asc", "desc"]); export declare namespace SortOrder { export type Raw = "asc" | "desc"; } humanloop-node-0.8.16/src/serialization/types/TemplateLanguage.ts000066400000000000000000000007151476356526200251550ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const TemplateLanguage: core.serialization.Schema = core.serialization.enum_(["default", "jinja"]); export declare namespace TemplateLanguage { export type Raw = "default" | "jinja"; } humanloop-node-0.8.16/src/serialization/types/TextChatContent.ts000066400000000000000000000011021476356526200250040ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const TextChatContent: core.serialization.ObjectSchema< serializers.TextChatContent.Raw, Humanloop.TextChatContent > = core.serialization.object({ type: core.serialization.stringLiteral("text"), text: core.serialization.string(), }); export declare namespace TextChatContent { export interface Raw { type: "text"; text: string; } } humanloop-node-0.8.16/src/serialization/types/TextEvaluatorStatsResponse.ts000066400000000000000000000021111476356526200272730ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const TextEvaluatorStatsResponse: core.serialization.ObjectSchema< serializers.TextEvaluatorStatsResponse.Raw, Humanloop.TextEvaluatorStatsResponse > = core.serialization.object({ evaluatorVersionId: core.serialization.property("evaluator_version_id", core.serialization.string()), totalLogs: core.serialization.property("total_logs", core.serialization.number()), numJudgments: core.serialization.property("num_judgments", core.serialization.number()), numNulls: core.serialization.property("num_nulls", core.serialization.number()), numErrors: core.serialization.property("num_errors", core.serialization.number()), }); export declare namespace TextEvaluatorStatsResponse { export interface Raw { evaluator_version_id: string; total_logs: number; num_judgments: number; num_nulls: number; num_errors: number; } } humanloop-node-0.8.16/src/serialization/types/TimeUnit.ts000066400000000000000000000006661476356526200235010ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const TimeUnit: core.serialization.Schema = core.serialization.enum_(["day", "week", "month"]); export declare namespace TimeUnit { export type Raw = "day" | "week" | "month"; } humanloop-node-0.8.16/src/serialization/types/ToolCall.ts000066400000000000000000000012701476356526200234440ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { ChatToolType } from "./ChatToolType"; import { FunctionTool } from "./FunctionTool"; export const ToolCall: core.serialization.ObjectSchema = core.serialization.object({ id: core.serialization.string(), type: ChatToolType, function: FunctionTool, }); export declare namespace ToolCall { export interface Raw { id: string; type: ChatToolType.Raw; function: FunctionTool.Raw; } } humanloop-node-0.8.16/src/serialization/types/ToolChoice.ts000066400000000000000000000012331476356526200237620ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { ChatToolType } from "./ChatToolType"; import { FunctionToolChoice } from "./FunctionToolChoice"; export const ToolChoice: core.serialization.ObjectSchema = core.serialization.object({ type: ChatToolType, function: FunctionToolChoice, }); export declare namespace ToolChoice { export interface Raw { type: ChatToolType.Raw; function: FunctionToolChoice.Raw; } } humanloop-node-0.8.16/src/serialization/types/ToolFunction.ts000066400000000000000000000015011476356526200243530ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const ToolFunction: core.serialization.ObjectSchema = core.serialization.object({ name: core.serialization.string(), description: core.serialization.string(), strict: core.serialization.boolean().optional(), parameters: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), }); export declare namespace ToolFunction { export interface Raw { name: string; description: string; strict?: boolean | null; parameters?: Record | null; } } humanloop-node-0.8.16/src/serialization/types/ToolKernelRequest.ts000066400000000000000000000021411476356526200253600ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { ToolFunction } from "./ToolFunction"; export const ToolKernelRequest: core.serialization.ObjectSchema< serializers.ToolKernelRequest.Raw, Humanloop.ToolKernelRequest > = core.serialization.object({ function: ToolFunction.optional(), sourceCode: core.serialization.property("source_code", core.serialization.string().optional()), setupValues: core.serialization.property( "setup_values", core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), ), attributes: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), }); export declare namespace ToolKernelRequest { export interface Raw { function?: ToolFunction.Raw | null; source_code?: string | null; setup_values?: Record | null; attributes?: Record | null; } } humanloop-node-0.8.16/src/serialization/types/ToolLogResponse.ts000066400000000000000000000077101476356526200250360ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { LogStatus } from "./LogStatus"; export const ToolLogResponse: core.serialization.ObjectSchema< serializers.ToolLogResponse.Raw, Humanloop.ToolLogResponse > = core.serialization.object({ startTime: core.serialization.property("start_time", core.serialization.date().optional()), endTime: core.serialization.property("end_time", core.serialization.date().optional()), output: core.serialization.string().optional(), createdAt: core.serialization.property("created_at", core.serialization.date().optional()), error: core.serialization.string().optional(), providerLatency: core.serialization.property("provider_latency", core.serialization.number().optional()), stdout: core.serialization.string().optional(), providerRequest: core.serialization.property( "provider_request", core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), ), providerResponse: core.serialization.property( "provider_response", core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), ), inputs: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), source: core.serialization.string().optional(), metadata: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), logStatus: core.serialization.property("log_status", LogStatus.optional()), sourceDatapointId: core.serialization.property("source_datapoint_id", core.serialization.string().optional()), traceParentId: core.serialization.property("trace_parent_id", core.serialization.string().optional()), batches: core.serialization.list(core.serialization.string()).optional(), user: core.serialization.string().optional(), environment: core.serialization.string().optional(), save: core.serialization.boolean().optional(), logId: core.serialization.property("log_id", core.serialization.string().optional()), id: core.serialization.string(), evaluatorLogs: core.serialization.property( "evaluator_logs", core.serialization.list(core.serialization.lazyObject(() => serializers.EvaluatorLogResponse)), ), traceFlowId: core.serialization.property("trace_flow_id", core.serialization.string().optional()), traceId: core.serialization.property("trace_id", core.serialization.string().optional()), traceChildren: core.serialization.property( "trace_children", core.serialization.list(core.serialization.lazy(() => serializers.LogResponse)).optional(), ), tool: core.serialization.lazyObject(() => serializers.ToolResponse), }); export declare namespace ToolLogResponse { export interface Raw { start_time?: string | null; end_time?: string | null; output?: string | null; created_at?: string | null; error?: string | null; provider_latency?: number | null; stdout?: string | null; provider_request?: Record | null; provider_response?: Record | null; inputs?: Record | null; source?: string | null; metadata?: Record | null; log_status?: LogStatus.Raw | null; source_datapoint_id?: string | null; trace_parent_id?: string | null; batches?: string[] | null; user?: string | null; environment?: string | null; save?: boolean | null; log_id?: string | null; id: string; evaluator_logs: serializers.EvaluatorLogResponse.Raw[]; trace_flow_id?: string | null; trace_id?: string | null; trace_children?: serializers.LogResponse.Raw[] | null; tool: serializers.ToolResponse.Raw; } } humanloop-node-0.8.16/src/serialization/types/ToolResponse.ts000066400000000000000000000106341476356526200243730ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { ToolFunction } from "./ToolFunction"; import { FilesToolType } from "./FilesToolType"; import { EnvironmentResponse } from "./EnvironmentResponse"; import { UserResponse } from "./UserResponse"; import { VersionStatus } from "./VersionStatus"; import { InputResponse } from "./InputResponse"; import { EvaluatorAggregate } from "./EvaluatorAggregate"; export const ToolResponse: core.serialization.ObjectSchema = core.serialization.object({ path: core.serialization.string(), id: core.serialization.string(), directoryId: core.serialization.property("directory_id", core.serialization.string().optional()), function: ToolFunction.optional(), sourceCode: core.serialization.property("source_code", core.serialization.string().optional()), setupValues: core.serialization.property( "setup_values", core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), ), attributes: core.serialization.record(core.serialization.string(), core.serialization.unknown()).optional(), toolType: core.serialization.property("tool_type", FilesToolType.optional()), commitMessage: core.serialization.property("commit_message", core.serialization.string().optional()), name: core.serialization.string(), description: core.serialization.string().optional(), readme: core.serialization.string().optional(), tags: core.serialization.list(core.serialization.string()).optional(), versionId: core.serialization.property("version_id", core.serialization.string()), type: core.serialization.stringLiteral("tool").optional(), environments: core.serialization.list(EnvironmentResponse).optional(), createdAt: core.serialization.property("created_at", core.serialization.date()), updatedAt: core.serialization.property("updated_at", core.serialization.date()), createdBy: core.serialization.property("created_by", UserResponse.optional()), committedBy: core.serialization.property("committed_by", UserResponse.optional()), committedAt: core.serialization.property("committed_at", core.serialization.date().optional()), status: VersionStatus, lastUsedAt: core.serialization.property("last_used_at", core.serialization.date()), versionLogsCount: core.serialization.property("version_logs_count", core.serialization.number()), totalLogsCount: core.serialization.property("total_logs_count", core.serialization.number()), inputs: core.serialization.list(InputResponse), evaluators: core.serialization .list(core.serialization.lazyObject(() => serializers.MonitoringEvaluatorResponse)) .optional(), signature: core.serialization.string().optional(), evaluatorAggregates: core.serialization.property( "evaluator_aggregates", core.serialization.list(EvaluatorAggregate).optional(), ), }); export declare namespace ToolResponse { export interface Raw { path: string; id: string; directory_id?: string | null; function?: ToolFunction.Raw | null; source_code?: string | null; setup_values?: Record | null; attributes?: Record | null; tool_type?: FilesToolType.Raw | null; commit_message?: string | null; name: string; description?: string | null; readme?: string | null; tags?: string[] | null; version_id: string; type?: "tool" | null; environments?: EnvironmentResponse.Raw[] | null; created_at: string; updated_at: string; created_by?: (UserResponse.Raw | undefined) | null; committed_by?: (UserResponse.Raw | undefined) | null; committed_at?: string | null; status: VersionStatus.Raw; last_used_at: string; version_logs_count: number; total_logs_count: number; inputs: InputResponse.Raw[]; evaluators?: serializers.MonitoringEvaluatorResponse.Raw[] | null; signature?: string | null; evaluator_aggregates?: EvaluatorAggregate.Raw[] | null; } } humanloop-node-0.8.16/src/serialization/types/UpdateDatesetAction.ts000066400000000000000000000007501476356526200256270ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const UpdateDatesetAction: core.serialization.Schema< serializers.UpdateDatesetAction.Raw, Humanloop.UpdateDatesetAction > = core.serialization.enum_(["set", "add", "remove"]); export declare namespace UpdateDatesetAction { export type Raw = "set" | "add" | "remove"; } humanloop-node-0.8.16/src/serialization/types/UpdateEvaluationStatusRequest.ts000066400000000000000000000007511476356526200277650ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const UpdateEvaluationStatusRequest: core.serialization.Schema< serializers.UpdateEvaluationStatusRequest.Raw, Humanloop.UpdateEvaluationStatusRequest > = core.serialization.unknown(); export declare namespace UpdateEvaluationStatusRequest { export type Raw = unknown; } humanloop-node-0.8.16/src/serialization/types/UserResponse.ts000066400000000000000000000006371476356526200243760ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const UserResponse: core.serialization.Schema = core.serialization.unknown(); export declare namespace UserResponse { export type Raw = unknown; } humanloop-node-0.8.16/src/serialization/types/Valence.ts000066400000000000000000000007231476356526200233120ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const Valence: core.serialization.Schema = core.serialization.enum_([ "positive", "negative", "neutral", ]); export declare namespace Valence { export type Raw = "positive" | "negative" | "neutral"; } humanloop-node-0.8.16/src/serialization/types/ValidationError.ts000066400000000000000000000013331476356526200250370ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { ValidationErrorLocItem } from "./ValidationErrorLocItem"; export const ValidationError: core.serialization.ObjectSchema< serializers.ValidationError.Raw, Humanloop.ValidationError > = core.serialization.object({ loc: core.serialization.list(ValidationErrorLocItem), msg: core.serialization.string(), type: core.serialization.string(), }); export declare namespace ValidationError { export interface Raw { loc: ValidationErrorLocItem.Raw[]; msg: string; type: string; } } humanloop-node-0.8.16/src/serialization/types/ValidationErrorLocItem.ts000066400000000000000000000010341476356526200263120ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const ValidationErrorLocItem: core.serialization.Schema< serializers.ValidationErrorLocItem.Raw, Humanloop.ValidationErrorLocItem > = core.serialization.undiscriminatedUnion([core.serialization.string(), core.serialization.number()]); export declare namespace ValidationErrorLocItem { export type Raw = string | number; } humanloop-node-0.8.16/src/serialization/types/VersionDeploymentResponse.ts000066400000000000000000000015351476356526200271440ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { EnvironmentResponse } from "./EnvironmentResponse"; export const VersionDeploymentResponse: core.serialization.ObjectSchema< serializers.VersionDeploymentResponse.Raw, Humanloop.VersionDeploymentResponse > = core.serialization.object({ file: core.serialization.lazy(() => serializers.VersionDeploymentResponseFile), environment: EnvironmentResponse, type: core.serialization.stringLiteral("environment"), }); export declare namespace VersionDeploymentResponse { export interface Raw { file: serializers.VersionDeploymentResponseFile.Raw; environment: EnvironmentResponse.Raw; type: "environment"; } } humanloop-node-0.8.16/src/serialization/types/VersionDeploymentResponseFile.ts000066400000000000000000000020171476356526200277400ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { DatasetResponse } from "./DatasetResponse"; export const VersionDeploymentResponseFile: core.serialization.Schema< serializers.VersionDeploymentResponseFile.Raw, Humanloop.VersionDeploymentResponseFile > = core.serialization.undiscriminatedUnion([ core.serialization.lazyObject(() => serializers.PromptResponse), core.serialization.lazyObject(() => serializers.ToolResponse), DatasetResponse, core.serialization.lazyObject(() => serializers.EvaluatorResponse), core.serialization.lazyObject(() => serializers.FlowResponse), ]); export declare namespace VersionDeploymentResponseFile { export type Raw = | serializers.PromptResponse.Raw | serializers.ToolResponse.Raw | DatasetResponse.Raw | serializers.EvaluatorResponse.Raw | serializers.FlowResponse.Raw; } humanloop-node-0.8.16/src/serialization/types/VersionId.ts000066400000000000000000000010301476356526200236270ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const VersionId: core.serialization.ObjectSchema = core.serialization.object({ versionId: core.serialization.property("version_id", core.serialization.string()), }); export declare namespace VersionId { export interface Raw { version_id: string; } } humanloop-node-0.8.16/src/serialization/types/VersionIdResponse.ts000066400000000000000000000012401476356526200253510ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const VersionIdResponse: core.serialization.ObjectSchema< serializers.VersionIdResponse.Raw, Humanloop.VersionIdResponse > = core.serialization.object({ version: core.serialization.lazy(() => serializers.VersionIdResponseVersion), type: core.serialization.stringLiteral("version"), }); export declare namespace VersionIdResponse { export interface Raw { version: serializers.VersionIdResponseVersion.Raw; type: "version"; } } humanloop-node-0.8.16/src/serialization/types/VersionIdResponseVersion.ts000066400000000000000000000017731476356526200267320ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { DatasetResponse } from "./DatasetResponse"; export const VersionIdResponseVersion: core.serialization.Schema< serializers.VersionIdResponseVersion.Raw, Humanloop.VersionIdResponseVersion > = core.serialization.undiscriminatedUnion([ core.serialization.lazyObject(() => serializers.PromptResponse), core.serialization.lazyObject(() => serializers.ToolResponse), DatasetResponse, core.serialization.lazyObject(() => serializers.EvaluatorResponse), core.serialization.lazyObject(() => serializers.FlowResponse), ]); export declare namespace VersionIdResponseVersion { export type Raw = | serializers.PromptResponse.Raw | serializers.ToolResponse.Raw | DatasetResponse.Raw | serializers.EvaluatorResponse.Raw | serializers.FlowResponse.Raw; } humanloop-node-0.8.16/src/serialization/types/VersionReferenceResponse.ts000066400000000000000000000013031476356526200267130ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const VersionReferenceResponse: core.serialization.Schema< serializers.VersionReferenceResponse.Raw, Humanloop.VersionReferenceResponse > = core.serialization.undiscriminatedUnion([ core.serialization.lazyObject(() => serializers.VersionDeploymentResponse), core.serialization.lazyObject(() => serializers.VersionIdResponse), ]); export declare namespace VersionReferenceResponse { export type Raw = serializers.VersionDeploymentResponse.Raw | serializers.VersionIdResponse.Raw; } humanloop-node-0.8.16/src/serialization/types/VersionStatsResponse.ts000066400000000000000000000022501476356526200261150ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { VersionStatsResponseEvaluatorVersionStatsItem } from "./VersionStatsResponseEvaluatorVersionStatsItem"; export const VersionStatsResponse: core.serialization.ObjectSchema< serializers.VersionStatsResponse.Raw, Humanloop.VersionStatsResponse > = core.serialization.object({ versionId: core.serialization.property("version_id", core.serialization.string()), batchId: core.serialization.property("batch_id", core.serialization.string().optional()), numLogs: core.serialization.property("num_logs", core.serialization.number()), evaluatorVersionStats: core.serialization.property( "evaluator_version_stats", core.serialization.list(VersionStatsResponseEvaluatorVersionStatsItem), ), }); export declare namespace VersionStatsResponse { export interface Raw { version_id: string; batch_id?: string | null; num_logs: number; evaluator_version_stats: VersionStatsResponseEvaluatorVersionStatsItem.Raw[]; } } humanloop-node-0.8.16/src/serialization/types/VersionStatsResponseEvaluatorVersionStatsItem.ts000066400000000000000000000022411476356526200332040ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; import { NumericEvaluatorStatsResponse } from "./NumericEvaluatorStatsResponse"; import { BooleanEvaluatorStatsResponse } from "./BooleanEvaluatorStatsResponse"; import { SelectEvaluatorStatsResponse } from "./SelectEvaluatorStatsResponse"; import { TextEvaluatorStatsResponse } from "./TextEvaluatorStatsResponse"; export const VersionStatsResponseEvaluatorVersionStatsItem: core.serialization.Schema< serializers.VersionStatsResponseEvaluatorVersionStatsItem.Raw, Humanloop.VersionStatsResponseEvaluatorVersionStatsItem > = core.serialization.undiscriminatedUnion([ NumericEvaluatorStatsResponse, BooleanEvaluatorStatsResponse, SelectEvaluatorStatsResponse, TextEvaluatorStatsResponse, ]); export declare namespace VersionStatsResponseEvaluatorVersionStatsItem { export type Raw = | NumericEvaluatorStatsResponse.Raw | BooleanEvaluatorStatsResponse.Raw | SelectEvaluatorStatsResponse.Raw | TextEvaluatorStatsResponse.Raw; } humanloop-node-0.8.16/src/serialization/types/VersionStatus.ts000066400000000000000000000007501476356526200245660ustar00rootroot00000000000000/** * This file was auto-generated by Fern from our API Definition. */ import * as serializers from "../index"; import * as Humanloop from "../../api/index"; import * as core from "../../core"; export const VersionStatus: core.serialization.Schema = core.serialization.enum_(["uncommitted", "committed", "deleted"]); export declare namespace VersionStatus { export type Raw = "uncommitted" | "committed" | "deleted"; } humanloop-node-0.8.16/src/serialization/types/index.ts000066400000000000000000000143271476356526200230510ustar00rootroot00000000000000export * from "./BooleanEvaluatorStatsResponse"; export * from "./ChatMessageContentItem"; export * from "./ChatMessageContent"; export * from "./ChatMessage"; export * from "./ChatRole"; export * from "./CodeEvaluatorRequest"; export * from "./CommitRequest"; export * from "./CreateDatapointRequestTargetValue"; export * from "./CreateDatapointRequest"; export * from "./CreateEvaluatorLogResponse"; export * from "./CreateFlowLogResponse"; export * from "./CreatePromptLogResponse"; export * from "./CreateToolLogResponse"; export * from "./DashboardConfiguration"; export * from "./DatapointResponseTargetValue"; export * from "./DatapointResponse"; export * from "./DatasetResponse"; export * from "./DirectoryResponse"; export * from "./DirectoryWithParentsAndChildrenResponseFilesItem"; export * from "./DirectoryWithParentsAndChildrenResponse"; export * from "./EnvironmentResponse"; export * from "./EnvironmentTag"; export * from "./EvaluateeRequest"; export * from "./EvaluateeResponse"; export * from "./EvaluationEvaluatorResponse"; export * from "./EvaluationLogResponse"; export * from "./EvaluationResponse"; export * from "./EvaluationRunResponse"; export * from "./EvaluationRunsResponse"; export * from "./EvaluationStats"; export * from "./EvaluationStatus"; export * from "./EvaluatorActivationDeactivationRequestActivateItem"; export * from "./EvaluatorActivationDeactivationRequestDeactivateItem"; export * from "./EvaluatorActivationDeactivationRequest"; export * from "./EvaluatorAggregate"; export * from "./EvaluatorArgumentsType"; export * from "./EvaluatorFileId"; export * from "./EvaluatorFilePath"; export * from "./EvaluatorJudgmentNumberLimit"; export * from "./EvaluatorJudgmentOptionResponse"; export * from "./EvaluatorLogResponseJudgment"; export * from "./EvaluatorLogResponse"; export * from "./EvaluatorResponseSpec"; export * from "./EvaluatorResponse"; export * from "./EvaluatorReturnTypeEnum"; export * from "./EvaluatorVersionId"; export * from "./ExternalEvaluatorRequest"; export * from "./FileEnvironmentResponseFile"; export * from "./FileEnvironmentResponse"; export * from "./FileId"; export * from "./FilePath"; export * from "./FileRequest"; export * from "./FileType"; export * from "./FlowKernelRequest"; export * from "./FlowLogResponse"; export * from "./FlowResponse"; export * from "./FunctionTool"; export * from "./FunctionToolChoice"; export * from "./HttpValidationError"; export * from "./HumanEvaluatorRequestReturnType"; export * from "./HumanEvaluatorRequest"; export * from "./ImageChatContent"; export * from "./ImageUrlDetail"; export * from "./ImageUrl"; export * from "./InputResponse"; export * from "./LlmEvaluatorRequest"; export * from "./LinkedToolResponse"; export * from "./ListDatasets"; export * from "./ListEvaluators"; export * from "./ListFlows"; export * from "./ListPrompts"; export * from "./ListTools"; export * from "./LogResponse"; export * from "./LogStatus"; export * from "./ModelEndpoints"; export * from "./ModelProviders"; export * from "./MonitoringEvaluatorEnvironmentRequest"; export * from "./MonitoringEvaluatorResponse"; export * from "./MonitoringEvaluatorState"; export * from "./MonitoringEvaluatorVersionRequest"; export * from "./NumericEvaluatorStatsResponse"; export * from "./ObservabilityStatus"; export * from "./OverallStats"; export * from "./PaginatedDatapointResponse"; export * from "./PaginatedDatasetResponse"; export * from "./PaginatedDataEvaluationLogResponse"; export * from "./PaginatedEvaluationResponse"; export * from "./PaginatedDataEvaluatorResponse"; export * from "./PaginatedDataFlowResponse"; export * from "./PaginatedDataLogResponse"; export * from "./PaginatedDataPromptResponse"; export * from "./PaginatedDataToolResponse"; export * from "./PaginatedDataUnionPromptResponseToolResponseDatasetResponseEvaluatorResponseFlowResponseRecordsItem"; export * from "./PaginatedDataUnionPromptResponseToolResponseDatasetResponseEvaluatorResponseFlowResponse"; export * from "./PlatformAccessEnum"; export * from "./ProjectSortBy"; export * from "./PromptCallLogResponse"; export * from "./PromptCallResponseToolChoice"; export * from "./PromptCallResponse"; export * from "./PromptCallStreamResponse"; export * from "./PromptKernelRequestTemplate"; export * from "./PromptKernelRequestStop"; export * from "./PromptKernelRequest"; export * from "./PromptLogResponseToolChoice"; export * from "./PromptLogResponse"; export * from "./PromptResponseTemplate"; export * from "./PromptResponseStop"; export * from "./PromptResponse"; export * from "./ProviderApiKeys"; export * from "./ReasoningEffort"; export * from "./ResponseFormatType"; export * from "./ResponseFormat"; export * from "./RunStatsResponseEvaluatorStatsItem"; export * from "./RunStatsResponse"; export * from "./RunVersionResponse"; export * from "./SelectEvaluatorStatsResponse"; export * from "./SortOrder"; export * from "./TemplateLanguage"; export * from "./TextChatContent"; export * from "./TextEvaluatorStatsResponse"; export * from "./TimeUnit"; export * from "./ToolCall"; export * from "./ToolChoice"; export * from "./ToolFunction"; export * from "./ToolKernelRequest"; export * from "./ToolLogResponse"; export * from "./ToolResponse"; export * from "./UpdateDatesetAction"; export * from "./UserResponse"; export * from "./Valence"; export * from "./ValidationErrorLocItem"; export * from "./ValidationError"; export * from "./VersionDeploymentResponseFile"; export * from "./VersionDeploymentResponse"; export * from "./VersionId"; export * from "./VersionIdResponseVersion"; export * from "./VersionIdResponse"; export * from "./VersionReferenceResponse"; export * from "./VersionStatsResponseEvaluatorVersionStatsItem"; export * from "./VersionStatsResponse"; export * from "./VersionStatus"; export * from "./ChatToolType"; export * from "./FilesToolType"; export * from "./AgentConfigResponse"; export * from "./EvaluatorConfigResponse"; export * from "./UpdateEvaluationStatusRequest"; export * from "./PaginatedPromptLogResponse"; export * from "./PaginatedSessionResponse"; export * from "./ConfigToolResponse"; export * from "./FeedbackType"; export * from "./BaseModelsUserResponse"; export * from "./DatasetsRequest"; export * from "./EvaluationsDatasetRequest"; export * from "./EvaluationsRequest"; export * from "./EvaluatorsRequest"; humanloop-node-0.8.16/src/version.ts000066400000000000000000000000451476356526200173760ustar00rootroot00000000000000export const SDK_VERSION = "0.8.16"; humanloop-node-0.8.16/tests/000077500000000000000000000000001476356526200157155ustar00rootroot00000000000000humanloop-node-0.8.16/tests/custom.test.ts000066400000000000000000000005451476356526200205610ustar00rootroot00000000000000/** * This is a custom test file, if you wish to add more tests * to your SDK. * Be sure to mark this file in `.fernignore`. * * If you include example requests/responses in your fern definition, * you will have tests automatically generated for you. */ describe("test", () => { it("default", () => { expect(true).toBe(true); }); }); humanloop-node-0.8.16/tests/unit/000077500000000000000000000000001476356526200166745ustar00rootroot00000000000000humanloop-node-0.8.16/tests/unit/fetcher/000077500000000000000000000000001476356526200203145ustar00rootroot00000000000000humanloop-node-0.8.16/tests/unit/fetcher/Fetcher.test.ts000066400000000000000000000046121476356526200232250ustar00rootroot00000000000000import fs from "fs"; import { join } from "path"; import { Fetcher, fetcherImpl } from "../../../src/core/fetcher/Fetcher"; describe("Test fetcherImpl", () => { it("should handle successful request", async () => { const mockArgs: Fetcher.Args = { url: "https://httpbin.org/post", method: "POST", headers: { "X-Test": "x-test-header" }, body: { data: "test" }, contentType: "application/json", requestType: "json", }; global.fetch = jest.fn().mockResolvedValue({ ok: true, status: 200, text: () => Promise.resolve(JSON.stringify({ data: "test" })), json: () => ({ data: "test" }), }); const result = await fetcherImpl(mockArgs); expect(result.ok).toBe(true); if (result.ok) { expect(result.body).toEqual({ data: "test" }); } expect(global.fetch).toHaveBeenCalledWith( "https://httpbin.org/post", expect.objectContaining({ method: "POST", headers: expect.objectContaining({ "X-Test": "x-test-header" }), body: JSON.stringify({ data: "test" }), }), ); }); it("should send octet stream", async () => { const url = "https://httpbin.org/post/file"; const mockArgs: Fetcher.Args = { url, method: "POST", headers: { "X-Test": "x-test-header" }, contentType: "application/octet-stream", requestType: "bytes", duplex: "half", body: fs.createReadStream(join(__dirname, "test-file.txt")), }; global.fetch = jest.fn().mockResolvedValue({ ok: true, status: 200, text: () => Promise.resolve(JSON.stringify({ data: "test" })), json: () => Promise.resolve({ data: "test" }), }); const result = await fetcherImpl(mockArgs); expect(global.fetch).toHaveBeenCalledWith( url, expect.objectContaining({ method: "POST", headers: expect.objectContaining({ "X-Test": "x-test-header" }), body: expect.any(fs.ReadStream), }), ); expect(result.ok).toBe(true); if (result.ok) { expect(result.body).toEqual({ data: "test" }); } }); }); humanloop-node-0.8.16/tests/unit/fetcher/createRequestUrl.test.ts000066400000000000000000000042351476356526200251450ustar00rootroot00000000000000import { createRequestUrl } from "../../../src/core/fetcher/createRequestUrl"; describe("Test createRequestUrl", () => { it("should return the base URL when no query parameters are provided", () => { const baseUrl = "https://api.example.com"; expect(createRequestUrl(baseUrl)).toBe(baseUrl); }); it("should append simple query parameters", () => { const baseUrl = "https://api.example.com"; const queryParams = { key: "value", another: "param" }; expect(createRequestUrl(baseUrl, queryParams)).toBe( "https://api.example.com?key=value&another=param", ); }); it("should handle array query parameters", () => { const baseUrl = "https://api.example.com"; const queryParams = { items: ["a", "b", "c"] }; expect(createRequestUrl(baseUrl, queryParams)).toBe( "https://api.example.com?items=a&items=b&items=c", ); }); it("should handle object query parameters", () => { const baseUrl = "https://api.example.com"; const queryParams = { filter: { name: "John", age: 30 } }; expect(createRequestUrl(baseUrl, queryParams)).toBe( "https://api.example.com?filter%5Bname%5D=John&filter%5Bage%5D=30", ); }); it("should handle mixed types of query parameters", () => { const baseUrl = "https://api.example.com"; const queryParams = { simple: "value", array: ["x", "y"], object: { key: "value" }, }; expect(createRequestUrl(baseUrl, queryParams)).toBe( "https://api.example.com?simple=value&array=x&array=y&object%5Bkey%5D=value", ); }); it("should handle empty query parameters object", () => { const baseUrl = "https://api.example.com"; expect(createRequestUrl(baseUrl, {})).toBe(baseUrl); }); it("should encode special characters in query parameters", () => { const baseUrl = "https://api.example.com"; const queryParams = { special: "a&b=c d" }; expect(createRequestUrl(baseUrl, queryParams)).toBe( "https://api.example.com?special=a%26b%3Dc%20d", ); }); }); humanloop-node-0.8.16/tests/unit/fetcher/getFetchFn.test.ts000066400000000000000000000014431476356526200236610ustar00rootroot00000000000000import { RUNTIME } from "../../../src/core/runtime"; import { getFetchFn } from "../../../src/core/fetcher/getFetchFn"; describe("Test for getFetchFn", () => { it("should get node-fetch function", async () => { if (RUNTIME.type == "node") { if (RUNTIME.parsedVersion != null && RUNTIME.parsedVersion >= 18) { expect(await getFetchFn()).toBe(fetch); } else { expect(await getFetchFn()).toEqual((await import("node-fetch")).default as any); } } }); it("should get fetch function", async () => { if (RUNTIME.type == "browser") { const fetchFn = await getFetchFn(); expect(typeof fetchFn).toBe("function"); expect(fetchFn.name).toBe("fetch"); } }); }); humanloop-node-0.8.16/tests/unit/fetcher/getRequestBody.test.ts000066400000000000000000000047651476356526200246240ustar00rootroot00000000000000import { getRequestBody } from "../../../src/core/fetcher/getRequestBody"; import { RUNTIME } from "../../../src/core/runtime"; describe("Test getRequestBody", () => { it("should return FormData as is in Node environment", async () => { if (RUNTIME.type === "node") { const formData = new (await import("formdata-node")).FormData(); formData.append("key", "value"); const result = await getRequestBody({ body: formData, type: "file", }); expect(result).toBe(formData); } }); it("should stringify body if not FormData in Node environment", async () => { if (RUNTIME.type === "node") { const body = { key: "value" }; const result = await getRequestBody({ body, type: "json", }); expect(result).toBe('{"key":"value"}'); } }); it("should return FormData in browser environment", async () => { if (RUNTIME.type === "browser") { const formData = new (await import("form-data")).default(); formData.append("key", "value"); const result = await getRequestBody({ body: formData, type: "file", }); expect(result).toBe(formData); } }); it("should stringify body if not FormData in browser environment", async () => { if (RUNTIME.type === "browser") { const body = { key: "value" }; const result = await getRequestBody({ body, type: "json", }); expect(result).toBe('{"key":"value"}'); } }); it("should return the Uint8Array", async () => { const input = new Uint8Array([1, 2, 3]); const result = await getRequestBody({ body: input, type: "bytes", }); expect(result).toBe(input); }); it("should return the input for content-type 'application/x-www-form-urlencoded'", async () => { const input = "key=value&another=param"; const result = await getRequestBody({ body: input, type: "other", }); expect(result).toBe(input); }); it("should JSON stringify objects", async () => { const input = { key: "value" }; const result = await getRequestBody({ body: input, type: "json", }); expect(result).toBe('{"key":"value"}'); }); }); humanloop-node-0.8.16/tests/unit/fetcher/getResponseBody.test.ts000066400000000000000000000051301476356526200247550ustar00rootroot00000000000000import { getResponseBody } from "../../../src/core/fetcher/getResponseBody"; import { chooseStreamWrapper } from "../../../src/core/fetcher/stream-wrappers/chooseStreamWrapper"; import { RUNTIME } from "../../../src/core/runtime"; describe("Test getResponseBody", () => { it("should handle blob response type", async () => { const mockBlob = new Blob(["test"], { type: "text/plain" }); const mockResponse = new Response(mockBlob); const result = await getResponseBody(mockResponse, "blob"); // @ts-expect-error expect(result.constructor.name).toBe("Blob"); }); it("should handle sse response type", async () => { if (RUNTIME.type === "node") { const mockStream = new ReadableStream(); const mockResponse = new Response(mockStream); const result = await getResponseBody(mockResponse, "sse"); expect(result).toBe(mockStream); } }); it("should handle streaming response type", async () => { if (RUNTIME.type === "node") { const mockStream = new ReadableStream(); const mockResponse = new Response(mockStream); const result = await getResponseBody(mockResponse, "streaming"); // need to reinstantiate string as a result of locked state in Readable Stream after registration with Response expect(JSON.stringify(result)).toBe( JSON.stringify(await chooseStreamWrapper(new ReadableStream())), ); } }); it("should handle text response type", async () => { const mockResponse = new Response("test text"); const result = await getResponseBody(mockResponse, "text"); expect(result).toBe("test text"); }); it("should handle JSON response", async () => { const mockJson = { key: "value" }; const mockResponse = new Response(JSON.stringify(mockJson)); const result = await getResponseBody(mockResponse); expect(result).toEqual(mockJson); }); it("should handle empty response", async () => { const mockResponse = new Response(""); const result = await getResponseBody(mockResponse); expect(result).toBeUndefined(); }); it("should handle non-JSON response", async () => { const mockResponse = new Response("invalid json"); const result = await getResponseBody(mockResponse); expect(result).toEqual({ ok: false, error: { reason: "non-json", statusCode: 200, rawBody: "invalid json", }, }); }); }); humanloop-node-0.8.16/tests/unit/fetcher/makeRequest.test.ts000066400000000000000000000044201476356526200241300ustar00rootroot00000000000000import { makeRequest } from "../../../src/core/fetcher/makeRequest"; describe("Test makeRequest", () => { const mockPostUrl = "https://httpbin.org/post"; const mockGetUrl = "https://httpbin.org/get"; const mockHeaders = { "Content-Type": "application/json" }; const mockBody = JSON.stringify({ key: "value" }); let mockFetch: jest.Mock; beforeEach(() => { mockFetch = jest.fn(); mockFetch.mockResolvedValue( new Response(JSON.stringify({ test: "successful" }), { status: 200 }), ); }); it("should handle POST request correctly", async () => { const response = await makeRequest( mockFetch, mockPostUrl, "POST", mockHeaders, mockBody, ); const responseBody = await response.json(); expect(responseBody).toEqual({ test: "successful" }); expect(mockFetch).toHaveBeenCalledTimes(1); const [calledUrl, calledOptions] = mockFetch.mock.calls[0]; expect(calledUrl).toBe(mockPostUrl); expect(calledOptions).toEqual( expect.objectContaining({ method: "POST", headers: mockHeaders, body: mockBody, credentials: undefined, }), ); expect(calledOptions.signal).toBeDefined(); expect(calledOptions.signal).toBeInstanceOf(AbortSignal); }); it("should handle GET request correctly", async () => { const response = await makeRequest( mockFetch, mockGetUrl, "GET", mockHeaders, undefined, ); const responseBody = await response.json(); expect(responseBody).toEqual({ test: "successful" }); expect(mockFetch).toHaveBeenCalledTimes(1); const [calledUrl, calledOptions] = mockFetch.mock.calls[0]; expect(calledUrl).toBe(mockGetUrl); expect(calledOptions).toEqual( expect.objectContaining({ method: "GET", headers: mockHeaders, body: undefined, credentials: undefined, }), ); expect(calledOptions.signal).toBeDefined(); expect(calledOptions.signal).toBeInstanceOf(AbortSignal); }); }); humanloop-node-0.8.16/tests/unit/fetcher/requestWithRetries.test.ts000066400000000000000000000120571476356526200255310ustar00rootroot00000000000000import { requestWithRetries } from "../../../src/core/fetcher/requestWithRetries"; describe("requestWithRetries", () => { let mockFetch: jest.Mock; let originalMathRandom: typeof Math.random; let setTimeoutSpy: jest.SpyInstance; beforeEach(() => { mockFetch = jest.fn(); originalMathRandom = Math.random; // Mock Math.random for consistent jitter Math.random = jest.fn(() => 0.5); jest.useFakeTimers({ doNotFake: ["nextTick"] }); }); afterEach(() => { Math.random = originalMathRandom; jest.clearAllMocks(); jest.clearAllTimers(); }); it("should retry on retryable status codes", async () => { setTimeoutSpy = jest .spyOn(global, "setTimeout") .mockImplementation((callback: (args: void) => void) => { process.nextTick(callback); return null as any; }); const retryableStatuses = [408, 429, 500, 502]; let callCount = 0; mockFetch.mockImplementation(async () => { if (callCount < retryableStatuses.length) { return new Response("", { status: retryableStatuses[callCount++] }); } return new Response("", { status: 200 }); }); const responsePromise = requestWithRetries( () => mockFetch(), retryableStatuses.length, ); await jest.runAllTimersAsync(); const response = await responsePromise; expect(mockFetch).toHaveBeenCalledTimes(retryableStatuses.length + 1); expect(response.status).toBe(200); }); it("should respect maxRetries limit", async () => { setTimeoutSpy = jest .spyOn(global, "setTimeout") .mockImplementation((callback: (args: void) => void) => { process.nextTick(callback); return null as any; }); const maxRetries = 2; mockFetch.mockResolvedValue(new Response("", { status: 500 })); const responsePromise = requestWithRetries(() => mockFetch(), maxRetries); await jest.runAllTimersAsync(); const response = await responsePromise; expect(mockFetch).toHaveBeenCalledTimes(maxRetries + 1); expect(response.status).toBe(500); }); it("should not retry on success status codes", async () => { setTimeoutSpy = jest .spyOn(global, "setTimeout") .mockImplementation((callback: (args: void) => void) => { process.nextTick(callback); return null as any; }); const successStatuses = [200, 201, 202]; for (const status of successStatuses) { mockFetch.mockReset(); setTimeoutSpy.mockClear(); mockFetch.mockResolvedValueOnce(new Response("", { status })); const responsePromise = requestWithRetries(() => mockFetch(), 3); await jest.runAllTimersAsync(); await responsePromise; expect(mockFetch).toHaveBeenCalledTimes(1); expect(setTimeoutSpy).not.toHaveBeenCalled(); } }); it("should apply correct exponential backoff with jitter", async () => { setTimeoutSpy = jest .spyOn(global, "setTimeout") .mockImplementation((callback: (args: void) => void) => { process.nextTick(callback); return null as any; }); mockFetch.mockResolvedValue(new Response("", { status: 500 })); const maxRetries = 3; const expectedDelays = [1000, 2000, 4000]; const responsePromise = requestWithRetries(() => mockFetch(), maxRetries); await jest.runAllTimersAsync(); await responsePromise; // Verify setTimeout calls expect(setTimeoutSpy).toHaveBeenCalledTimes(expectedDelays.length); expectedDelays.forEach((delay, index) => { expect(setTimeoutSpy).toHaveBeenNthCalledWith( index + 1, expect.any(Function), delay, ); }); expect(mockFetch).toHaveBeenCalledTimes(maxRetries + 1); }); it("should handle concurrent retries independently", async () => { setTimeoutSpy = jest .spyOn(global, "setTimeout") .mockImplementation((callback: (args: void) => void) => { process.nextTick(callback); return null as any; }); mockFetch .mockResolvedValueOnce(new Response("", { status: 500 })) .mockResolvedValueOnce(new Response("", { status: 500 })) .mockResolvedValueOnce(new Response("", { status: 200 })) .mockResolvedValueOnce(new Response("", { status: 200 })); const promise1 = requestWithRetries(() => mockFetch(), 1); const promise2 = requestWithRetries(() => mockFetch(), 1); await jest.runAllTimersAsync(); const [response1, response2] = await Promise.all([promise1, promise2]); expect(response1.status).toBe(200); expect(response2.status).toBe(200); }); }); humanloop-node-0.8.16/tests/unit/fetcher/signals.test.ts000066400000000000000000000043061476356526200233050ustar00rootroot00000000000000import { anySignal, getTimeoutSignal } from "../../../src/core/fetcher/signals"; describe("Test getTimeoutSignal", () => { beforeEach(() => { jest.useFakeTimers(); }); afterEach(() => { jest.useRealTimers(); }); it("should return an object with signal and abortId", () => { const { signal, abortId } = getTimeoutSignal(1000); expect(signal).toBeDefined(); expect(abortId).toBeDefined(); expect(signal).toBeInstanceOf(AbortSignal); expect(signal.aborted).toBe(false); }); it("should create a signal that aborts after the specified timeout", () => { const timeoutMs = 5000; const { signal } = getTimeoutSignal(timeoutMs); expect(signal.aborted).toBe(false); jest.advanceTimersByTime(timeoutMs - 1); expect(signal.aborted).toBe(false); jest.advanceTimersByTime(1); expect(signal.aborted).toBe(true); }); }); describe("Test anySignal", () => { it("should return an AbortSignal", () => { const signal = anySignal(new AbortController().signal); expect(signal).toBeInstanceOf(AbortSignal); }); it("should abort when any of the input signals is aborted", () => { const controller1 = new AbortController(); const controller2 = new AbortController(); const signal = anySignal(controller1.signal, controller2.signal); expect(signal.aborted).toBe(false); controller1.abort(); expect(signal.aborted).toBe(true); }); it("should handle an array of signals", () => { const controller1 = new AbortController(); const controller2 = new AbortController(); const signal = anySignal([controller1.signal, controller2.signal]); expect(signal.aborted).toBe(false); controller2.abort(); expect(signal.aborted).toBe(true); }); it("should abort immediately if one of the input signals is already aborted", () => { const controller1 = new AbortController(); const controller2 = new AbortController(); controller1.abort(); const signal = anySignal(controller1.signal, controller2.signal); expect(signal.aborted).toBe(true); }); }); humanloop-node-0.8.16/tests/unit/fetcher/stream-wrappers/000077500000000000000000000000001476356526200234505ustar00rootroot00000000000000humanloop-node-0.8.16/tests/unit/fetcher/stream-wrappers/Node18UniversalStreamWrapper.test.ts000066400000000000000000000142761476356526200324540ustar00rootroot00000000000000import { Node18UniversalStreamWrapper } from "../../../../src/core/fetcher/stream-wrappers/Node18UniversalStreamWrapper"; describe("Node18UniversalStreamWrapper", () => { it("should set encoding to utf-8", async () => { const rawStream = new ReadableStream(); const stream = new Node18UniversalStreamWrapper(rawStream); const setEncodingSpy = jest.spyOn(stream, "setEncoding"); stream.setEncoding("utf-8"); expect(setEncodingSpy).toHaveBeenCalledWith("utf-8"); }); it("should register an event listener for readable", async () => { const rawStream = new ReadableStream(); const stream = new Node18UniversalStreamWrapper(rawStream); const onSpy = jest.spyOn(stream, "on"); stream.on("readable", () => {}); expect(onSpy).toHaveBeenCalledWith("readable", expect.any(Function)); }); it("should remove an event listener for data", async () => { const rawStream = new ReadableStream(); const stream = new Node18UniversalStreamWrapper(rawStream); const offSpy = jest.spyOn(stream, "off"); const fn = () => {}; stream.on("data", fn); stream.off("data", fn); expect(offSpy).toHaveBeenCalledWith("data", expect.any(Function)); }); it("should write to dest when calling pipe to writable stream", async () => { const rawStream = new ReadableStream({ start(controller) { controller.enqueue(new TextEncoder().encode("test")); controller.enqueue(new TextEncoder().encode("test")); controller.close(); }, }); const stream = new Node18UniversalStreamWrapper(rawStream); const dest = new WritableStream({ write(chunk) { expect(chunk).toEqual(new TextEncoder().encode("test")); }, }); stream.pipe(dest); }); it("should write to dest when calling pipe to node writable stream", async () => { const rawStream = new ReadableStream({ start(controller) { controller.enqueue(new TextEncoder().encode("test")); controller.enqueue(new TextEncoder().encode("test")); controller.close(); }, }); const stream = new Node18UniversalStreamWrapper(rawStream); const dest = new (await import("readable-stream")).Writable({ write(chunk, encoding, callback) { expect(chunk.toString()).toEqual("test"); callback(); }, }); stream.pipe(dest); }); it("should write nothing when calling pipe and unpipe", async () => { const rawStream = new ReadableStream({ start(controller) { controller.enqueue(new TextEncoder().encode("test")); controller.enqueue(new TextEncoder().encode("test")); controller.close(); }, }); const stream = new Node18UniversalStreamWrapper(rawStream); const buffer: Uint8Array[] = []; const dest = new WritableStream({ write(chunk) { buffer.push(chunk); }, }); stream.pipe(dest); stream.unpipe(dest); expect(buffer).toEqual([]); }); it("should destroy the stream", async () => { const rawStream = new ReadableStream(); const stream = new Node18UniversalStreamWrapper(rawStream); const destroySpy = jest.spyOn(stream, "destroy"); stream.destroy(); expect(destroySpy).toHaveBeenCalled(); }); it("should pause and resume the stream", async () => { const rawStream = new ReadableStream(); const stream = new Node18UniversalStreamWrapper(rawStream); const pauseSpy = jest.spyOn(stream, "pause"); const resumeSpy = jest.spyOn(stream, "resume"); expect(stream.isPaused).toBe(false); stream.pause(); expect(stream.isPaused).toBe(true); stream.resume(); expect(pauseSpy).toHaveBeenCalled(); expect(resumeSpy).toHaveBeenCalled(); }); it("should read the stream", async () => { const rawStream = new ReadableStream({ start(controller) { controller.enqueue(new TextEncoder().encode("test")); controller.enqueue(new TextEncoder().encode("test")); controller.close(); }, }); const stream = new Node18UniversalStreamWrapper(rawStream); expect(await stream.read()).toEqual(new TextEncoder().encode("test")); expect(await stream.read()).toEqual(new TextEncoder().encode("test")); }); it("should read the stream as text", async () => { const rawStream = new ReadableStream({ start(controller) { controller.enqueue(new TextEncoder().encode("test")); controller.enqueue(new TextEncoder().encode("test")); controller.close(); }, }); const stream = new Node18UniversalStreamWrapper(rawStream); const data = await stream.text(); expect(data).toEqual("testtest"); }); it("should read the stream as json", async () => { const rawStream = new ReadableStream({ start(controller) { controller.enqueue( new TextEncoder().encode(JSON.stringify({ test: "test" })), ); controller.close(); }, }); const stream = new Node18UniversalStreamWrapper(rawStream); const data = await stream.json(); expect(data).toEqual({ test: "test" }); }); it("should allow use with async iterable stream", async () => { const rawStream = new ReadableStream({ start(controller) { controller.enqueue(new TextEncoder().encode("test")); controller.enqueue(new TextEncoder().encode("test")); controller.close(); }, }); let data = ""; const stream = new Node18UniversalStreamWrapper(rawStream); for await (const chunk of stream) { data += new TextDecoder().decode(chunk); } expect(data).toEqual("testtest"); }); }); humanloop-node-0.8.16/tests/unit/fetcher/stream-wrappers/NodePre18StreamWrapper.test.ts000066400000000000000000000116071476356526200312250ustar00rootroot00000000000000import { NodePre18StreamWrapper } from "../../../../src/core/fetcher/stream-wrappers/NodePre18StreamWrapper"; describe("NodePre18StreamWrapper", () => { it("should set encoding to utf-8", async () => { const rawStream = (await import("readable-stream")).Readable.from([ "test", "test", ]); const stream = new NodePre18StreamWrapper(rawStream); const setEncodingSpy = jest.spyOn(stream, "setEncoding"); stream.setEncoding("utf-8"); expect(setEncodingSpy).toHaveBeenCalledWith("utf-8"); }); it("should register an event listener for readable", async () => { const rawStream = (await import("readable-stream")).Readable.from([ "test", "test", ]); const stream = new NodePre18StreamWrapper(rawStream); const onSpy = jest.spyOn(stream, "on"); stream.on("readable", () => {}); expect(onSpy).toHaveBeenCalledWith("readable", expect.any(Function)); }); it("should remove an event listener for data", async () => { const rawStream = (await import("readable-stream")).Readable.from([ "test", "test", ]); const stream = new NodePre18StreamWrapper(rawStream); const offSpy = jest.spyOn(stream, "off"); const fn = () => {}; stream.on("data", fn); stream.off("data", fn); expect(offSpy).toHaveBeenCalledWith("data", expect.any(Function)); }); it("should write to dest when calling pipe to node writable stream", async () => { const rawStream = (await import("readable-stream")).Readable.from([ "test", "test", ]); const stream = new NodePre18StreamWrapper(rawStream); const dest = new (await import("readable-stream")).Writable({ write(chunk, encoding, callback) { expect(chunk.toString()).toEqual("test"); callback(); }, }); stream.pipe(dest); }); it("should write nothing when calling pipe and unpipe", async () => { const rawStream = (await import("readable-stream")).Readable.from([ "test", "test", ]); const stream = new NodePre18StreamWrapper(rawStream); const buffer: Uint8Array[] = []; const dest = new (await import("readable-stream")).Writable({ write(chunk, encoding, callback) { buffer.push(chunk); callback(); }, }); stream.pipe(dest); stream.unpipe(); expect(buffer).toEqual([]); }); it("should destroy the stream", async () => { const rawStream = (await import("readable-stream")).Readable.from([ "test", "test", ]); const stream = new NodePre18StreamWrapper(rawStream); const destroySpy = jest.spyOn(stream, "destroy"); stream.destroy(); expect(destroySpy).toHaveBeenCalledWith(); }); it("should pause the stream and resume", async () => { const rawStream = (await import("readable-stream")).Readable.from([ "test", "test", ]); const stream = new NodePre18StreamWrapper(rawStream); const pauseSpy = jest.spyOn(stream, "pause"); stream.pause(); expect(stream.isPaused).toBe(true); stream.resume(); expect(stream.isPaused).toBe(false); expect(pauseSpy).toHaveBeenCalledWith(); }); it("should read the stream", async () => { const rawStream = (await import("readable-stream")).Readable.from([ "test", "test", ]); const stream = new NodePre18StreamWrapper(rawStream); expect(await stream.read()).toEqual("test"); expect(await stream.read()).toEqual("test"); }); it("should read the stream as text", async () => { const rawStream = (await import("readable-stream")).Readable.from([ "test", "test", ]); const stream = new NodePre18StreamWrapper(rawStream); const data = await stream.text(); expect(data).toEqual("testtest"); }); it("should read the stream as json", async () => { const rawStream = (await import("readable-stream")).Readable.from([ JSON.stringify({ test: "test" }), ]); const stream = new NodePre18StreamWrapper(rawStream); const data = await stream.json(); expect(data).toEqual({ test: "test" }); }); it("should allow use with async iterable stream", async () => { const rawStream = (await import("readable-stream")).Readable.from([ "test", "test", ]); let data = ""; const stream = new NodePre18StreamWrapper(rawStream); for await (const chunk of stream) { data += chunk; } expect(data).toEqual("testtest"); }); }); humanloop-node-0.8.16/tests/unit/fetcher/stream-wrappers/UndiciStreamWrapper.test.ts000066400000000000000000000122261476356526200307310ustar00rootroot00000000000000import { UndiciStreamWrapper } from "../../../../src/core/fetcher/stream-wrappers/UndiciStreamWrapper"; describe("UndiciStreamWrapper", () => { it("should set encoding to utf-8", async () => { const rawStream = new ReadableStream(); const stream = new UndiciStreamWrapper(rawStream); const setEncodingSpy = jest.spyOn(stream, "setEncoding"); stream.setEncoding("utf-8"); expect(setEncodingSpy).toHaveBeenCalledWith("utf-8"); }); it("should register an event listener for readable", async () => { const rawStream = new ReadableStream(); const stream = new UndiciStreamWrapper(rawStream); const onSpy = jest.spyOn(stream, "on"); stream.on("readable", () => {}); expect(onSpy).toHaveBeenCalledWith("readable", expect.any(Function)); }); it("should remove an event listener for data", async () => { const rawStream = new ReadableStream(); const stream = new UndiciStreamWrapper(rawStream); const offSpy = jest.spyOn(stream, "off"); const fn = () => {}; stream.on("data", fn); stream.off("data", fn); expect(offSpy).toHaveBeenCalledWith("data", expect.any(Function)); }); it("should write to dest when calling pipe to writable stream", async () => { const rawStream = new ReadableStream({ start(controller) { controller.enqueue(new TextEncoder().encode("test")); controller.enqueue(new TextEncoder().encode("test")); controller.close(); }, }); const stream = new UndiciStreamWrapper(rawStream); const dest = new WritableStream({ write(chunk) { expect(chunk).toEqual(new TextEncoder().encode("test")); }, }); stream.pipe(dest); }); it("should write nothing when calling pipe and unpipe", async () => { const rawStream = new ReadableStream(); const stream = new UndiciStreamWrapper(rawStream); const buffer: Uint8Array[] = []; const dest = new WritableStream({ write(chunk) { buffer.push(chunk); }, }); stream.pipe(dest); stream.unpipe(dest); expect(buffer).toEqual([]); }); it("should destroy the stream", async () => { const rawStream = new ReadableStream(); const stream = new UndiciStreamWrapper(rawStream); const destroySpy = jest.spyOn(stream, "destroy"); stream.destroy(); expect(destroySpy).toHaveBeenCalled(); }); it("should pause and resume the stream", async () => { const rawStream = new ReadableStream(); const stream = new UndiciStreamWrapper(rawStream); const pauseSpy = jest.spyOn(stream, "pause"); const resumeSpy = jest.spyOn(stream, "resume"); expect(stream.isPaused).toBe(false); stream.pause(); expect(stream.isPaused).toBe(true); stream.resume(); expect(pauseSpy).toHaveBeenCalled(); expect(resumeSpy).toHaveBeenCalled(); }); it("should read the stream", async () => { const rawStream = new ReadableStream({ start(controller) { controller.enqueue(new TextEncoder().encode("test")); controller.enqueue(new TextEncoder().encode("test")); controller.close(); }, }); const stream = new UndiciStreamWrapper(rawStream); expect(await stream.read()).toEqual(new TextEncoder().encode("test")); expect(await stream.read()).toEqual(new TextEncoder().encode("test")); }); it("should read the stream as text", async () => { const rawStream = new ReadableStream({ start(controller) { controller.enqueue(new TextEncoder().encode("test")); controller.enqueue(new TextEncoder().encode("test")); controller.close(); }, }); const stream = new UndiciStreamWrapper(rawStream); const data = await stream.text(); expect(data).toEqual("testtest"); }); it("should read the stream as json", async () => { const rawStream = new ReadableStream({ start(controller) { controller.enqueue( new TextEncoder().encode(JSON.stringify({ test: "test" })), ); controller.close(); }, }); const stream = new UndiciStreamWrapper(rawStream); const data = await stream.json(); expect(data).toEqual({ test: "test" }); }); it("should allow use with async iterable stream", async () => { const rawStream = new ReadableStream({ start(controller) { controller.enqueue(new TextEncoder().encode("test")); controller.enqueue(new TextEncoder().encode("test")); controller.close(); }, }); let data = ""; const stream = new UndiciStreamWrapper(rawStream); for await (const chunk of stream) { data += new TextDecoder().decode(chunk); } expect(data).toEqual("testtest"); }); }); humanloop-node-0.8.16/tests/unit/fetcher/stream-wrappers/chooseStreamWrapper.test.ts000066400000000000000000000037261476356526200310030ustar00rootroot00000000000000import { Node18UniversalStreamWrapper } from "../../../../src/core/fetcher/stream-wrappers/Node18UniversalStreamWrapper"; import { NodePre18StreamWrapper } from "../../../../src/core/fetcher/stream-wrappers/NodePre18StreamWrapper"; import { UndiciStreamWrapper } from "../../../../src/core/fetcher/stream-wrappers/UndiciStreamWrapper"; import { chooseStreamWrapper } from "../../../../src/core/fetcher/stream-wrappers/chooseStreamWrapper"; import { RUNTIME } from "../../../../src/core/runtime"; describe("chooseStreamWrapper", () => { beforeEach(() => { RUNTIME.type = "unknown"; RUNTIME.parsedVersion = 0; }); it('should return a Node18UniversalStreamWrapper when RUNTIME.type is "node" and RUNTIME.parsedVersion is not null and RUNTIME.parsedVersion is greater than or equal to 18', async () => { const expected = new Node18UniversalStreamWrapper(new ReadableStream()); RUNTIME.type = "node"; RUNTIME.parsedVersion = 18; const result = await chooseStreamWrapper(new ReadableStream()); expect(JSON.stringify(result)).toBe(JSON.stringify(expected)); }); it('should return a NodePre18StreamWrapper when RUNTIME.type is "node" and RUNTIME.parsedVersion is not null and RUNTIME.parsedVersion is less than 18', async () => { const stream = await import("readable-stream"); const expected = new NodePre18StreamWrapper(new stream.Readable()); RUNTIME.type = "node"; RUNTIME.parsedVersion = 16; const result = await chooseStreamWrapper(new stream.Readable()); expect(JSON.stringify(result)).toEqual(JSON.stringify(expected)); }); it('should return a Undici when RUNTIME.type is not "node"', async () => { const expected = new UndiciStreamWrapper(new ReadableStream()); RUNTIME.type = "browser"; const result = await chooseStreamWrapper(new ReadableStream()); expect(JSON.stringify(result)).toEqual(JSON.stringify(expected)); }); }); humanloop-node-0.8.16/tests/unit/fetcher/stream-wrappers/webpack.test.ts000066400000000000000000000025711476356526200264170ustar00rootroot00000000000000import webpack from "webpack"; describe("test env compatibility", () => { test("webpack", () => { return new Promise((resolve, reject) => { webpack( { mode: "production", target: "node", entry: "./src/index.ts", module: { rules: [ { test: /\.tsx?$/, use: "ts-loader", exclude: /node_modules/, }, ], }, resolve: { extensions: [".tsx", ".ts", ".js"], fallback: { async_hooks: false, }, }, }, (err, stats) => { try { expect(err).toBe(null); if (stats?.hasErrors()) { console.log(stats?.toString()); } expect(stats?.hasErrors()).toBe(false); resolve(); } catch (error) { reject(error); } }, ); }); }, 60_000); }); humanloop-node-0.8.16/tests/unit/fetcher/test-file.txt000066400000000000000000000000251476356526200227460ustar00rootroot00000000000000This is a test file! humanloop-node-0.8.16/tests/unit/form-data-utils/000077500000000000000000000000001476356526200217045ustar00rootroot00000000000000humanloop-node-0.8.16/tests/unit/form-data-utils/formDataWrapper.test.ts000066400000000000000000000110361476356526200263310ustar00rootroot00000000000000/* eslint-disable @typescript-eslint/ban-ts-comment */ import { Node18FormData, WebFormData, } from "../../../src/core/form-data-utils/FormDataWrapper"; describe("CrossPlatformFormData", () => { describe("Node18FormData", () => { let formData: any; beforeEach(async () => { formData = new Node18FormData(); await formData.setup(); }); it("should append a Readable stream with a specified filename", async () => { const value = (await import("readable-stream")).Readable.from([ "file content", ]); const filename = "testfile.txt"; await formData.appendFile("file", value, filename); const request = await formData.getRequest(); const decoder = new TextDecoder("utf-8"); let data = ""; for await (const chunk of request.body) { data += decoder.decode(chunk); } expect(data).toContain(filename); }); it("should append a Blob with a specified filename", async () => { const value = new Blob(["file content"], { type: "text/plain" }); const filename = "testfile.txt"; await formData.appendFile("file", value, filename); const request = await formData.getRequest(); const decoder = new TextDecoder("utf-8"); let data = ""; for await (const chunk of request.body) { data += decoder.decode(chunk); } expect(data).toContain(filename); }); it("should append a File with a specified filename", async () => { const filename = "testfile.txt"; const value = new (await import("buffer")).File(["file content"], filename); await formData.appendFile("file", value); const request = await formData.getRequest(); const decoder = new TextDecoder("utf-8"); let data = ""; for await (const chunk of request.body) { data += decoder.decode(chunk); } expect(data).toContain("testfile.txt"); }); it("should append a File with an explicit filename", async () => { const filename = "testfile.txt"; const value = new (await import("buffer")).File(["file content"], filename); await formData.appendFile("file", value, "test.txt"); const request = await formData.getRequest(); const decoder = new TextDecoder("utf-8"); let data = ""; for await (const chunk of request.body) { data += decoder.decode(chunk); } expect(data).toContain("test.txt"); }); }); describe("WebFormData", () => { let formData: any; beforeEach(async () => { formData = new WebFormData(); await formData.setup(); }); it("should append a Readable stream with a specified filename", async () => { const value = (await import("readable-stream")).Readable.from([ "file content", ]); const filename = "testfile.txt"; await formData.appendFile("file", value, filename); const request = formData.getRequest(); expect(request.body.get("file").name).toBe(filename); }); it("should append a Blob with a specified filename", async () => { const value = new Blob(["file content"], { type: "text/plain" }); const filename = "testfile.txt"; await formData.appendFile("file", value, filename); const request = formData.getRequest(); expect(request.body.get("file").name).toBe(filename); }); it("should append a File with a specified filename", async () => { const filename = "testfile.txt"; const value = new (await import("buffer")).File(["file content"], filename); await formData.appendFile("file", value); const request = formData.getRequest(); expect(request.body.get("file").name).toBe(filename); }); it("should append a File with an explicit filename", async () => { const filename = "testfile.txt"; const value = new (await import("buffer")).File(["file content"], filename); await formData.appendFile("file", value, "test.txt"); const request = formData.getRequest(); expect(request.body.get("file").name).toBe("test.txt"); }); }); }); humanloop-node-0.8.16/tests/unit/zurg/000077500000000000000000000000001476356526200176635ustar00rootroot00000000000000humanloop-node-0.8.16/tests/unit/zurg/bigint/000077500000000000000000000000001476356526200211375ustar00rootroot00000000000000humanloop-node-0.8.16/tests/unit/zurg/bigint/bigint.test.ts000066400000000000000000000023701476356526200237430ustar00rootroot00000000000000import { bigint } from "../../../../src/core/schemas/builders/bigint"; import { itJson, itParse, itSchema } from "../utils/itSchema"; import { itValidateJson, itValidateParse } from "../utils/itValidate"; describe("bigint", () => { itSchema("converts between raw bigint and parsed bigint", bigint(), { raw: BigInt("9007199254740992"), parsed: BigInt("9007199254740992"), }); itParse("converts between raw number and parsed bigint", bigint(), { raw: 10, parsed: BigInt("10"), }); itParse("converts between raw number and parsed bigint", bigint(), { raw: BigInt("10"), parsed: BigInt("10"), }); itJson("converts raw bigint to parsed bigint", bigint(), { parsed: BigInt("10"), raw: BigInt("10"), }); itValidateParse("string", bigint(), "42", [ { message: 'Expected bigint | number. Received "42".', path: [], }, ]); itValidateJson("number", bigint(), 42, [ { message: "Expected bigint. Received 42.", path: [], }, ]); itValidateJson("string", bigint(), "42", [ { message: 'Expected bigint. Received "42".', path: [], }, ]); }); humanloop-node-0.8.16/tests/unit/zurg/date/000077500000000000000000000000001476356526200206005ustar00rootroot00000000000000humanloop-node-0.8.16/tests/unit/zurg/date/date.test.ts000066400000000000000000000016021476356526200230420ustar00rootroot00000000000000import { date } from "../../../../src/core/schemas/builders/date"; import { itSchema } from "../utils/itSchema"; import { itValidateJson, itValidateParse } from "../utils/itValidate"; describe("date", () => { itSchema("converts between raw ISO string and parsed Date", date(), { raw: "2022-09-29T05:41:21.939Z", parsed: new Date("2022-09-29T05:41:21.939Z"), }); itValidateParse("non-string", date(), 42, [ { message: "Expected string. Received 42.", path: [], }, ]); itValidateParse("non-ISO", date(), "hello world", [ { message: 'Expected ISO 8601 date string. Received "hello world".', path: [], }, ]); itValidateJson("non-Date", date(), "hello", [ { message: 'Expected Date object. Received "hello".', path: [], }, ]); }); humanloop-node-0.8.16/tests/unit/zurg/enum/000077500000000000000000000000001476356526200206275ustar00rootroot00000000000000humanloop-node-0.8.16/tests/unit/zurg/enum/enum.test.ts000066400000000000000000000013771476356526200231310ustar00rootroot00000000000000import { enum_ } from "../../../../src/core/schemas/builders/enum"; import { itSchemaIdentity } from "../utils/itSchema"; import { itValidate } from "../utils/itValidate"; describe("enum", () => { itSchemaIdentity(enum_(["A", "B", "C"]), "A"); itSchemaIdentity(enum_(["A", "B", "C"]), "D" as any, { opts: { allowUnrecognizedEnumValues: true }, }); itValidate("invalid enum", enum_(["A", "B", "C"]), "D", [ { message: 'Expected enum. Received "D".', path: [], }, ]); itValidate( "non-string", enum_(["A", "B", "C"]), [], [ { message: "Expected string. Received list.", path: [], }, ], ); }); humanloop-node-0.8.16/tests/unit/zurg/lazy/000077500000000000000000000000001476356526200206425ustar00rootroot00000000000000humanloop-node-0.8.16/tests/unit/zurg/lazy/lazy.test.ts000066400000000000000000000031361476356526200231520ustar00rootroot00000000000000import { Schema } from "../../../../src/core/schemas/Schema"; import { lazy, list, object, string } from "../../../../src/core/schemas/builders"; import { itSchemaIdentity } from "../utils/itSchema"; describe("lazy", () => { it("doesn't run immediately", () => { let wasRun = false; lazy(() => { wasRun = true; return string(); }); expect(wasRun).toBe(false); }); it("only runs first time", async () => { let count = 0; const schema = lazy(() => { count++; return string(); }); await schema.parse("hello"); await schema.json("world"); expect(count).toBe(1); }); itSchemaIdentity( lazy(() => object({})), { foo: "hello" }, { title: "passes opts through", opts: { unrecognizedObjectKeys: "passthrough" }, }, ); itSchemaIdentity( lazy(() => object({ foo: string() })), { foo: "hello" }, ); // eslint-disable-next-line jest/expect-expect it("self-referencial schema doesn't compile", () => { () => { // @ts-expect-error const a = lazy(() => object({ foo: a })); }; }); // eslint-disable-next-line jest/expect-expect it("self-referencial compiles with explicit type", () => { () => { interface TreeNode { children: TreeNode[]; } const TreeNode: Schema = lazy(() => object({ children: list(TreeNode) }), ); }; }); }); humanloop-node-0.8.16/tests/unit/zurg/lazy/lazyObject.test.ts000066400000000000000000000010351476356526200242750ustar00rootroot00000000000000import { lazyObject, number, object, string, } from "../../../../src/core/schemas/builders"; import { itSchemaIdentity } from "../utils/itSchema"; describe("lazy", () => { itSchemaIdentity( lazyObject(() => object({ foo: string() })), { foo: "hello" }, ); itSchemaIdentity( lazyObject(() => object({ foo: string() })).extend(object({ bar: number() })), { foo: "hello", bar: 42, }, { title: "returned schema has object utils" }, ); }); humanloop-node-0.8.16/tests/unit/zurg/lazy/recursive/000077500000000000000000000000001476356526200226515ustar00rootroot00000000000000humanloop-node-0.8.16/tests/unit/zurg/lazy/recursive/a.ts000066400000000000000000000002621476356526200234410ustar00rootroot00000000000000import { object } from "../../../../../src/core/schemas/builders/object"; import { schemaB } from "./b"; // @ts-expect-error export const schemaA = object({ b: schemaB, }); humanloop-node-0.8.16/tests/unit/zurg/lazy/recursive/b.ts000066400000000000000000000004161476356526200234430ustar00rootroot00000000000000import { object } from "../../../../../src/core/schemas/builders/object"; import { optional } from "../../../../../src/core/schemas/builders/schema-utils"; import { schemaA } from "./a"; // @ts-expect-error export const schemaB = object({ a: optional(schemaA), }); humanloop-node-0.8.16/tests/unit/zurg/list/000077500000000000000000000000001476356526200206365ustar00rootroot00000000000000humanloop-node-0.8.16/tests/unit/zurg/list/list.test.ts000066400000000000000000000020261476356526200231370ustar00rootroot00000000000000import { list, object, property, string } from "../../../../src/core/schemas/builders"; import { itSchema, itSchemaIdentity } from "../utils/itSchema"; import { itValidate } from "../utils/itValidate"; describe("list", () => { itSchemaIdentity(list(string()), ["hello", "world"], { title: "functions as identity when item type is primitive", }); itSchema( "converts objects correctly", list( object({ helloWorld: property("hello_world", string()), }), ), { raw: [{ hello_world: "123" }], parsed: [{ helloWorld: "123" }], }, ); itValidate("not a list", list(string()), 42, [ { path: [], message: "Expected list. Received 42.", }, ]); itValidate( "invalid item type", list(string()), [42], [ { path: ["[0]"], message: "Expected string. Received 42.", }, ], ); }); humanloop-node-0.8.16/tests/unit/zurg/literals/000077500000000000000000000000001476356526200215025ustar00rootroot00000000000000humanloop-node-0.8.16/tests/unit/zurg/literals/stringLiteral.test.ts000066400000000000000000000011111476356526200256450ustar00rootroot00000000000000import { stringLiteral } from "../../../../src/core/schemas/builders"; import { itSchemaIdentity } from "../utils/itSchema"; import { itValidate } from "../utils/itValidate"; describe("stringLiteral", () => { itSchemaIdentity(stringLiteral("A"), "A"); itValidate("incorrect string", stringLiteral("A"), "B", [ { path: [], message: 'Expected "A". Received "B".', }, ]); itValidate("non-string", stringLiteral("A"), 42, [ { path: [], message: 'Expected "A". Received 42.', }, ]); }); humanloop-node-0.8.16/tests/unit/zurg/object-like/000077500000000000000000000000001476356526200220535ustar00rootroot00000000000000humanloop-node-0.8.16/tests/unit/zurg/object-like/withParsedProperties.test.ts000066400000000000000000000036131476356526200275730ustar00rootroot00000000000000import { object, property, string, stringLiteral } from "../../../../src/core/schemas/builders"; describe("withParsedProperties", () => { it("Added properties included on parsed object", async () => { const schema = object({ foo: property("raw_foo", string()), bar: stringLiteral("bar"), }).withParsedProperties({ printFoo: (parsed) => () => parsed.foo, printHelloWorld: () => () => "Hello world", helloWorld: "Hello world", }); const parsed = await schema.parse({ raw_foo: "value of foo", bar: "bar" }); if (!parsed.ok) { throw new Error("Failed to parse"); } expect(parsed.value.printFoo()).toBe("value of foo"); expect(parsed.value.printHelloWorld()).toBe("Hello world"); expect(parsed.value.helloWorld).toBe("Hello world"); }); it("Added property is removed on raw object", async () => { const schema = object({ foo: property("raw_foo", string()), bar: stringLiteral("bar"), }).withParsedProperties({ printFoo: (parsed) => () => parsed.foo, }); const original = { raw_foo: "value of foo", bar: "bar" } as const; const parsed = await schema.parse(original); if (!parsed.ok) { throw new Error("Failed to parse()"); } const raw = await schema.json(parsed.value); if (!raw.ok) { throw new Error("Failed to json()"); } expect(raw.value).toEqual(original); }); describe("compile", () => { // eslint-disable-next-line jest/expect-expect it("doesn't compile with non-object schema", () => { () => object({ foo: string(), }) // @ts-expect-error .withParsedProperties(42); }); }); }); humanloop-node-0.8.16/tests/unit/zurg/object/000077500000000000000000000000001476356526200211315ustar00rootroot00000000000000humanloop-node-0.8.16/tests/unit/zurg/object/extend.test.ts000066400000000000000000000043631476356526200237540ustar00rootroot00000000000000import { boolean, object, property, string, stringLiteral, } from "../../../../src/core/schemas/builders"; import { itSchema, itSchemaIdentity } from "../utils/itSchema"; describe("extend", () => { itSchemaIdentity( object({ foo: string(), }).extend( object({ bar: stringLiteral("bar"), }), ), { foo: "", bar: "bar", } as const, { title: "extended properties are included in schema", }, ); itSchemaIdentity( object({ foo: string(), }) .extend( object({ bar: stringLiteral("bar"), }), ) .extend( object({ baz: boolean(), }), ), { foo: "", bar: "bar", baz: true, } as const, { title: "extensions can be extended", }, ); itSchema( "converts nested object", object({ item: object({ helloWorld: property("hello_world", string()), }), }).extend( object({ goodbye: property("goodbye_raw", string()), }), ), { raw: { item: { hello_world: "yo" }, goodbye_raw: "peace" }, parsed: { item: { helloWorld: "yo" }, goodbye: "peace" }, }, ); itSchema( "extensions work with raw/parsed property name conversions", object({ item: property("item_raw", string()), }).extend( object({ goodbye: property("goodbye_raw", string()), }), ), { raw: { item_raw: "hi", goodbye_raw: "peace" }, parsed: { item: "hi", goodbye: "peace" }, }, ); describe("compile", () => { // eslint-disable-next-line jest/expect-expect it("doesn't compile with non-object schema", () => { () => object({ foo: string(), }) // @ts-expect-error .extend([]); }); }); }); humanloop-node-0.8.16/tests/unit/zurg/object/object.test.ts000066400000000000000000000165501476356526200237340ustar00rootroot00000000000000import { any, number, object, property, string, stringLiteral, unknown, } from "../../../../src/core/schemas/builders"; import { itJson, itParse, itSchema, itSchemaIdentity } from "../utils/itSchema"; import { itValidate } from "../utils/itValidate"; describe("object", () => { itSchemaIdentity( object({ foo: string(), bar: stringLiteral("bar"), }), { foo: "", bar: "bar", }, { title: "functions as identity when values are primitives and property() isn't used", }, ); itSchema( "uses raw key from property()", object({ foo: property("raw_foo", string()), bar: stringLiteral("bar"), }), { raw: { raw_foo: "foo", bar: "bar" }, parsed: { foo: "foo", bar: "bar" }, }, ); itSchema( "keys with unknown type can be omitted", object({ foo: unknown(), }), { raw: {}, parsed: {}, }, ); itSchema( "keys with any type can be omitted", object({ foo: any(), }), { raw: {}, parsed: {}, }, ); describe("unrecognizedObjectKeys", () => { describe("parse", () => { itParse( 'includes unknown values when unrecognizedObjectKeys === "passthrough"', object({ foo: property("raw_foo", string()), bar: stringLiteral("bar"), }), { raw: { raw_foo: "foo", bar: "bar", // @ts-expect-error baz: "yoyo", }, parsed: { foo: "foo", bar: "bar", // @ts-expect-error baz: "yoyo", }, opts: { unrecognizedObjectKeys: "passthrough", }, }, ); itParse( 'strips unknown values when unrecognizedObjectKeys === "strip"', object({ foo: property("raw_foo", string()), bar: stringLiteral("bar"), }), { raw: { raw_foo: "foo", bar: "bar", // @ts-expect-error baz: "yoyo", }, parsed: { foo: "foo", bar: "bar", }, opts: { unrecognizedObjectKeys: "strip", }, }, ); }); describe("json", () => { itJson( 'includes unknown values when unrecognizedObjectKeys === "passthrough"', object({ foo: property("raw_foo", string()), bar: stringLiteral("bar"), }), { raw: { raw_foo: "foo", bar: "bar", // @ts-expect-error baz: "yoyo", }, parsed: { foo: "foo", bar: "bar", // @ts-expect-error baz: "yoyo", }, opts: { unrecognizedObjectKeys: "passthrough", }, }, ); itJson( 'strips unknown values when unrecognizedObjectKeys === "strip"', object({ foo: property("raw_foo", string()), bar: stringLiteral("bar"), }), { raw: { raw_foo: "foo", bar: "bar", }, parsed: { foo: "foo", bar: "bar", // @ts-expect-error baz: "yoyo", }, opts: { unrecognizedObjectKeys: "strip", }, }, ); }); }); describe("nullish properties", () => { itSchema( "missing properties are not added", object({ foo: property("raw_foo", string().optional()) }), { raw: {}, parsed: {}, }, ); itSchema( "undefined properties are not dropped", object({ foo: property("raw_foo", string().optional()) }), { raw: { raw_foo: null }, parsed: { foo: undefined }, }, ); itSchema( "null properties are not dropped", object({ foo: property("raw_foo", string().optional()) }), { raw: { raw_foo: null }, parsed: { foo: undefined }, }, ); describe("extensions", () => { itSchema( "undefined properties are not dropped", object({}).extend( object({ foo: property("raw_foo", string().optional()) }), ), { raw: { raw_foo: null }, parsed: { foo: undefined }, }, ); describe("parse()", () => { itParse( "null properties are not dropped", object({}).extend( object({ foo: property("raw_foo", string().optional()) }), ), { raw: { raw_foo: null }, parsed: { foo: undefined }, }, ); }); }); }); itValidate( "missing property", object({ foo: string(), bar: stringLiteral("bar"), }), { foo: "hello" }, [ { path: [], message: 'Missing required key "bar"', }, ], ); itValidate( "extra property", object({ foo: string(), bar: stringLiteral("bar"), }), { foo: "hello", bar: "bar", baz: 42 }, [ { path: ["baz"], message: 'Unexpected key "baz"', }, ], ); itValidate( "not an object", object({ foo: string(), bar: stringLiteral("bar"), }), [], [ { path: [], message: "Expected object. Received list.", }, ], ); itValidate( "nested validation error", object({ foo: object({ bar: number(), }), }), { foo: { bar: "hello" } }, [ { path: ["foo", "bar"], message: 'Expected number. Received "hello".', }, ], ); }); humanloop-node-0.8.16/tests/unit/zurg/object/objectWithoutOptionalProperties.test.ts000066400000000000000000000011331476356526200310720ustar00rootroot00000000000000import { objectWithoutOptionalProperties, string, stringLiteral, } from "../../../../src/core/schemas/builders"; import { itSchema } from "../utils/itSchema"; describe("objectWithoutOptionalProperties", () => { itSchema( "all properties are required", objectWithoutOptionalProperties({ foo: string(), bar: stringLiteral("bar").optional(), }), { raw: { foo: "hello", }, // @ts-expect-error parsed: { foo: "hello", }, }, ); }); humanloop-node-0.8.16/tests/unit/zurg/object/passthrough.test.ts000066400000000000000000000041631476356526200250320ustar00rootroot00000000000000import { object, string, stringLiteral } from "../../../../src/core/schemas/builders"; import { itJson, itParse, itSchema } from "../utils/itSchema"; import { itValidate } from "../utils/itValidate"; describe("passthrough", () => { const baseSchema = object({ foo: string(), bar: stringLiteral("bar"), }); describe("parse", () => { itParse("includes unknown values", baseSchema.passthrough(), { raw: { foo: "hello", bar: "bar", baz: "extra", }, parsed: { foo: "hello", bar: "bar", baz: "extra", }, }); itValidate( "preserves schema validation", baseSchema.passthrough(), { foo: 123, bar: "bar", baz: "extra", }, [ { path: ["foo"], message: "Expected string. Received 123.", }, ], ); }); describe("json", () => { itJson("includes unknown values", baseSchema.passthrough(), { raw: { foo: "hello", bar: "bar", baz: "extra", }, parsed: { foo: "hello", bar: "bar", baz: "extra", }, }); itValidate( "preserves schema validation", baseSchema.passthrough(), { foo: "hello", bar: "wrong", baz: "extra", }, [ { path: ["bar"], message: 'Expected "bar". Received "wrong".', }, ], ); }); itSchema("preserves schema validation in both directions", baseSchema.passthrough(), { raw: { foo: "hello", bar: "bar", extra: 42, }, parsed: { foo: "hello", bar: "bar", extra: 42, }, }); }); humanloop-node-0.8.16/tests/unit/zurg/primitives/000077500000000000000000000000001476356526200220565ustar00rootroot00000000000000humanloop-node-0.8.16/tests/unit/zurg/primitives/any.test.ts000066400000000000000000000002631476356526200241740ustar00rootroot00000000000000import { any } from "../../../../src/core/schemas/builders"; import { itSchemaIdentity } from "../utils/itSchema"; describe("any", () => { itSchemaIdentity(any(), true); }); humanloop-node-0.8.16/tests/unit/zurg/primitives/boolean.test.ts000066400000000000000000000006171476356526200250270ustar00rootroot00000000000000import { boolean } from "../../../../src/core/schemas/builders"; import { itSchemaIdentity } from "../utils/itSchema"; import { itValidate } from "../utils/itValidate"; describe("boolean", () => { itSchemaIdentity(boolean(), true); itValidate("non-boolean", boolean(), {}, [ { path: [], message: "Expected boolean. Received object.", }, ]); }); humanloop-node-0.8.16/tests/unit/zurg/primitives/number.test.ts000066400000000000000000000006151476356526200246760ustar00rootroot00000000000000import { number } from "../../../../src/core/schemas/builders"; import { itSchemaIdentity } from "../utils/itSchema"; import { itValidate } from "../utils/itValidate"; describe("number", () => { itSchemaIdentity(number(), 42); itValidate("non-number", number(), "hello", [ { path: [], message: 'Expected number. Received "hello".', }, ]); }); humanloop-node-0.8.16/tests/unit/zurg/primitives/string.test.ts000066400000000000000000000006101476356526200247070ustar00rootroot00000000000000import { string } from "../../../../src/core/schemas/builders"; import { itSchemaIdentity } from "../utils/itSchema"; import { itValidate } from "../utils/itValidate"; describe("string", () => { itSchemaIdentity(string(), "hello"); itValidate("non-string", string(), 42, [ { path: [], message: "Expected string. Received 42.", }, ]); }); humanloop-node-0.8.16/tests/unit/zurg/primitives/unknown.test.ts000066400000000000000000000002771476356526200251110ustar00rootroot00000000000000import { unknown } from "../../../../src/core/schemas/builders"; import { itSchemaIdentity } from "../utils/itSchema"; describe("unknown", () => { itSchemaIdentity(unknown(), true); }); humanloop-node-0.8.16/tests/unit/zurg/record/000077500000000000000000000000001476356526200211415ustar00rootroot00000000000000humanloop-node-0.8.16/tests/unit/zurg/record/record.test.ts000066400000000000000000000017451476356526200237540ustar00rootroot00000000000000import { number, record, string } from "../../../../src/core/schemas/builders"; import { itSchemaIdentity } from "../utils/itSchema"; import { itValidate } from "../utils/itValidate"; describe("record", () => { itSchemaIdentity(record(string(), string()), { hello: "world" }); itSchemaIdentity(record(number(), string()), { 42: "world" }); itValidate( "non-record", record(number(), string()), [], [ { path: [], message: "Expected object. Received list.", }, ], ); itValidate("invalid key type", record(number(), string()), { hello: "world" }, [ { path: ["hello (key)"], message: 'Expected number. Received "hello".', }, ]); itValidate("invalid value type", record(string(), number()), { hello: "world" }, [ { path: ["hello"], message: 'Expected number. Received "world".', }, ]); }); humanloop-node-0.8.16/tests/unit/zurg/schema-utils/000077500000000000000000000000001476356526200222615ustar00rootroot00000000000000humanloop-node-0.8.16/tests/unit/zurg/schema-utils/getSchemaUtils.test.ts000066400000000000000000000053211476356526200265310ustar00rootroot00000000000000import { object, string } from "../../../../src/core/schemas/builders"; import { itSchema } from "../utils/itSchema"; describe("getSchemaUtils", () => { describe("optional()", () => { itSchema("optional fields allow original schema", string().optional(), { raw: "hello", parsed: "hello", }); itSchema("optional fields are not required", string().optional(), { raw: null, parsed: undefined, }); }); describe("transform()", () => { itSchema( "transform and untransform run correctly", string().transform({ transform: (x) => x + "X", untransform: (x) => (x as string).slice(0, -1), }), { raw: "hello", parsed: "helloX", }, ); }); describe("parseOrThrow()", () => { it("parses valid value", async () => { const value = string().parseOrThrow("hello"); expect(value).toBe("hello"); }); it("throws on invalid value", async () => { const value = () => object({ a: string(), b: string() }).parseOrThrow({ a: 24 }); expect(value).toThrowError( new Error('a: Expected string. Received 24.; Missing required key "b"'), ); }); }); describe("jsonOrThrow()", () => { it("serializes valid value", async () => { const value = string().jsonOrThrow("hello"); expect(value).toBe("hello"); }); it("throws on invalid value", async () => { const value = () => object({ a: string(), b: string() }).jsonOrThrow({ a: 24 }); expect(value).toThrowError( new Error('a: Expected string. Received 24.; Missing required key "b"'), ); }); }); describe("omitUndefined", () => { it("serializes undefined as null", async () => { const value = object({ a: string().optional(), b: string().optional(), }).jsonOrThrow({ a: "hello", b: undefined, }); expect(value).toEqual({ a: "hello", b: null }); }); it("omits undefined values", async () => { const value = object({ a: string().optional(), b: string().optional(), }).jsonOrThrow( { a: "hello", b: undefined, }, { omitUndefined: true, }, ); expect(value).toEqual({ a: "hello" }); }); }); }); humanloop-node-0.8.16/tests/unit/zurg/schema.test.ts000066400000000000000000000042211476356526200224500ustar00rootroot00000000000000import { boolean, discriminant, list, number, object, string, stringLiteral, union, } from "../../../src/core/schemas/builders"; import { booleanLiteral } from "../../../src/core/schemas/builders/literals/booleanLiteral"; import { property } from "../../../src/core/schemas/builders/object/property"; import { itSchema } from "./utils/itSchema"; describe("Schema", () => { itSchema( "large nested object", object({ a: string(), b: stringLiteral("b value"), c: property( "raw_c", list( object({ animal: union(discriminant("type", "_type"), { dog: object({ value: boolean() }), cat: object({ value: property("raw_cat", number()) }), }), }), ), ), d: property("raw_d", boolean()), e: booleanLiteral(true), }), { raw: { a: "hello", b: "b value", raw_c: [ { animal: { _type: "dog", value: true, }, }, { animal: { _type: "cat", raw_cat: 42, }, }, ], raw_d: false, e: true, }, parsed: { a: "hello", b: "b value", c: [ { animal: { type: "dog", value: true, }, }, { animal: { type: "cat", value: 42, }, }, ], d: false, e: true, }, }, ); }); humanloop-node-0.8.16/tests/unit/zurg/set/000077500000000000000000000000001476356526200204565ustar00rootroot00000000000000humanloop-node-0.8.16/tests/unit/zurg/set/set.test.ts000066400000000000000000000022001476356526200225710ustar00rootroot00000000000000import { set, string } from "../../../../src/core/schemas/builders"; import { itSchema } from "../utils/itSchema"; import { itValidateJson, itValidateParse } from "../utils/itValidate"; describe("set", () => { itSchema("converts between raw list and parsed Set", set(string()), { raw: ["A", "B"], parsed: new Set(["A", "B"]), }); itValidateParse("not a list", set(string()), 42, [ { path: [], message: "Expected list. Received 42.", }, ]); itValidateJson( "not a Set", set(string()), [], [ { path: [], message: "Expected Set. Received list.", }, ], ); itValidateParse( "invalid item type", set(string()), [42], [ { path: ["[0]"], message: "Expected string. Received 42.", }, ], ); itValidateJson("invalid item type", set(string()), new Set([42]), [ { path: ["[0]"], message: "Expected string. Received 42.", }, ]); }); humanloop-node-0.8.16/tests/unit/zurg/skipValidation.test.ts000066400000000000000000000025471476356526200242020ustar00rootroot00000000000000/* eslint-disable no-console */ import { boolean, number, object, property, string, undiscriminatedUnion, } from "../../../src/core/schemas/builders"; describe("skipValidation", () => { it("allows data that doesn't conform to the schema", async () => { const warningLogs: string[] = []; const originalConsoleWarn = console.warn; console.warn = (...args) => warningLogs.push(args.join(" ")); const schema = object({ camelCase: property("snake_case", string()), numberProperty: number(), requiredProperty: boolean(), anyPrimitive: undiscriminatedUnion([string(), number(), boolean()]), }); const parsed = await schema.parse( { snake_case: "hello", numberProperty: "oops", anyPrimitive: true, }, { skipValidation: true, }, ); expect(parsed).toEqual({ ok: true, value: { camelCase: "hello", numberProperty: "oops", anyPrimitive: true, }, }); expect(warningLogs).toEqual([ `Failed to validate. - numberProperty: Expected number. Received "oops".`, ]); console.warn = originalConsoleWarn; }); }); humanloop-node-0.8.16/tests/unit/zurg/undiscriminated-union/000077500000000000000000000000001476356526200241735ustar00rootroot00000000000000humanloop-node-0.8.16/tests/unit/zurg/undiscriminated-union/undiscriminatedUnion.test.ts000066400000000000000000000031501476356526200317130ustar00rootroot00000000000000import { number, object, property, string, undiscriminatedUnion, } from "../../../../src/core/schemas/builders"; import { itSchema, itSchemaIdentity } from "../utils/itSchema"; describe("undiscriminatedUnion", () => { itSchemaIdentity(undiscriminatedUnion([string(), number()]), "hello world"); itSchemaIdentity( undiscriminatedUnion([ object({ hello: string() }), object({ goodbye: string() }), ]), { goodbye: "foo", }, ); itSchema( "Correctly transforms", undiscriminatedUnion([ object({ hello: string() }), object({ helloWorld: property("hello_world", string()) }), ]), { raw: { hello_world: "foo " }, parsed: { helloWorld: "foo " }, }, ); it("Returns errors for all variants", async () => { const result = await undiscriminatedUnion([string(), number()]).parse(true); if (result.ok) { throw new Error("Unexpectedly passed validation"); } expect(result.errors).toEqual([ { message: "[Variant 0] Expected string. Received true.", path: [], }, { message: "[Variant 1] Expected number. Received true.", path: [], }, ]); }); describe("compile", () => { // eslint-disable-next-line jest/expect-expect it("doesn't compile with zero members", () => { // @ts-expect-error () => undiscriminatedUnion([]); }); }); }); humanloop-node-0.8.16/tests/unit/zurg/union/000077500000000000000000000000001476356526200210135ustar00rootroot00000000000000humanloop-node-0.8.16/tests/unit/zurg/union/union.test.ts000066400000000000000000000063201476356526200234720ustar00rootroot00000000000000import { boolean, discriminant, number, object, string, union, } from "../../../../src/core/schemas/builders"; import { itSchema, itSchemaIdentity } from "../utils/itSchema"; import { itValidate } from "../utils/itValidate"; describe("union", () => { itSchemaIdentity( union("type", { lion: object({ meows: boolean(), }), giraffe: object({ heightInInches: number(), }), }), { type: "lion", meows: true }, { title: "doesn't transform discriminant when it's a string" }, ); itSchema( "transforms discriminant when it's a discriminant()", union(discriminant("type", "_type"), { lion: object({ meows: boolean() }), giraffe: object({ heightInInches: number() }), }), { raw: { _type: "lion", meows: true }, parsed: { type: "lion", meows: true }, }, ); describe("allowUnrecognizedUnionMembers", () => { itSchema( "transforms discriminant & passes through values when discriminant value is unrecognized", union(discriminant("type", "_type"), { lion: object({ meows: boolean() }), giraffe: object({ heightInInches: number() }), }), { // @ts-expect-error raw: { _type: "moose", isAMoose: true }, // @ts-expect-error parsed: { type: "moose", isAMoose: true }, opts: { allowUnrecognizedUnionMembers: true, }, }, ); }); describe("withParsedProperties", () => { it("Added property is included on parsed object", async () => { const schema = union("type", { lion: object({}), tiger: object({ value: string() }), }).withParsedProperties({ printType: (parsed) => () => parsed.type, }); const parsed = await schema.parse({ type: "lion" }); if (!parsed.ok) { throw new Error("Failed to parse"); } expect(parsed.value.printType()).toBe("lion"); }); }); itValidate( "non-object", union("type", { lion: object({}), tiger: object({ value: string() }), }), [], [ { path: [], message: "Expected object. Received list.", }, ], ); itValidate( "missing discriminant", union("type", { lion: object({}), tiger: object({ value: string() }), }), {}, [ { path: [], message: 'Missing discriminant ("type")', }, ], ); itValidate( "unrecognized discriminant value", union("type", { lion: object({}), tiger: object({ value: string() }), }), { type: "bear", }, [ { path: ["type"], message: 'Expected enum. Received "bear".', }, ], ); }); humanloop-node-0.8.16/tests/unit/zurg/utils/000077500000000000000000000000001476356526200210235ustar00rootroot00000000000000humanloop-node-0.8.16/tests/unit/zurg/utils/itSchema.ts000066400000000000000000000040541476356526200231330ustar00rootroot00000000000000/* eslint-disable jest/no-export */ import { Schema, SchemaOptions } from "../../../../src/core/schemas/Schema"; export function itSchemaIdentity( schema: Schema, value: T, { title = "functions as identity", opts, }: { title?: string; opts?: SchemaOptions } = {}, ): void { itSchema(title, schema, { raw: value, parsed: value, opts }); } export function itSchema( title: string, schema: Schema, { raw, parsed, opts, only = false, }: { raw: Raw; parsed: Parsed; opts?: SchemaOptions; only?: boolean; }, ): void { // eslint-disable-next-line jest/valid-title (only ? describe.only : describe)(title, () => { itParse("parse()", schema, { raw, parsed, opts }); itJson("json()", schema, { raw, parsed, opts }); }); } export function itParse( title: string, schema: Schema, { raw, parsed, opts, }: { raw: Raw; parsed: Parsed; opts?: SchemaOptions; }, ): void { // eslint-disable-next-line jest/valid-title it(title, () => { const maybeValid = schema.parse(raw, opts); if (!maybeValid.ok) { throw new Error( "Failed to parse() " + JSON.stringify(maybeValid.errors, undefined, 4), ); } expect(maybeValid.value).toStrictEqual(parsed); }); } export function itJson( title: string, schema: Schema, { raw, parsed, opts, }: { raw: Raw; parsed: Parsed; opts?: SchemaOptions; }, ): void { // eslint-disable-next-line jest/valid-title it(title, () => { const maybeValid = schema.json(parsed, opts); if (!maybeValid.ok) { throw new Error( "Failed to json() " + JSON.stringify(maybeValid.errors, undefined, 4), ); } expect(maybeValid.value).toStrictEqual(raw); }); } humanloop-node-0.8.16/tests/unit/zurg/utils/itValidate.ts000066400000000000000000000032201476356526200234560ustar00rootroot00000000000000/* eslint-disable jest/no-export */ import { Schema, SchemaOptions, ValidationError, } from "../../../../src/core/schemas/Schema"; export function itValidate( title: string, schema: Schema, input: unknown, errors: ValidationError[], opts?: SchemaOptions, ): void { // eslint-disable-next-line jest/valid-title describe("parse()", () => { itValidateParse(title, schema, input, errors, opts); }); describe("json()", () => { itValidateJson(title, schema, input, errors, opts); }); } export function itValidateParse( title: string, schema: Schema, raw: unknown, errors: ValidationError[], opts?: SchemaOptions, ): void { describe("parse", () => { // eslint-disable-next-line jest/valid-title it(title, async () => { const maybeValid = await schema.parse(raw, opts); if (maybeValid.ok) { throw new Error("Value passed validation"); } expect(maybeValid.errors).toStrictEqual(errors); }); }); } export function itValidateJson( title: string, schema: Schema, parsed: unknown, errors: ValidationError[], opts?: SchemaOptions, ): void { describe("json", () => { // eslint-disable-next-line jest/valid-title it(title, async () => { const maybeValid = await schema.json(parsed, opts); if (maybeValid.ok) { throw new Error("Value passed validation"); } expect(maybeValid.errors).toStrictEqual(errors); }); }); } humanloop-node-0.8.16/tsconfig.json000066400000000000000000000006171476356526200172660ustar00rootroot00000000000000{ "compilerOptions": { "extendedDiagnostics": true, "strict": true, "target": "ES6", "moduleResolution": "node", "esModuleInterop": true, "skipLibCheck": true, "declaration": true, "outDir": "dist", "rootDir": "src", "baseUrl": "src", "module": "CommonJS" }, "include": ["src"], "exclude": [] } humanloop-node-0.8.16/yarn.lock000066400000000000000000010074741476356526200164130ustar00rootroot00000000000000# THIS IS AN AUTOGENERATED FILE. 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