• Full prompt management UI: list, detail, override, and version management for AI prompts defined with prompts.define()
• Rich AI span inspectors for all AI SDK operations with token usage, messages, and prompt context
• Real-time generation tracking with live polling and filtering

Prompt management

Define prompts in your code with prompts.define(), then manage versions and overrides from the dashboard without redeploying:

import { task, prompts } from "@trigger.dev/sdk";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
import { z } from "zod";

const supportPrompt = prompts.define({
  id: "customer-support",
  model: "gpt-4o",
  variables: z.object({
    customerName: z.string(),
    plan: z.string(),
    issue: z.string(),
  }),
  content: `You are a support agent for Acme SaaS.
Customer: {{customerName}} ({{plan}} plan)
Issue: {{issue}}
Respond with empathy and precision.`,
});

export const supportTask = task({
  id: "handle-support",
  run: async (payload) => {
    const resolved = await supportPrompt.resolve({
      customerName: payload.name,
      plan: payload.plan,
      issue: payload.issue,
    });

    const result = await generateText({
      model: openai(resolved.model ?? "gpt-4o"),
      system: resolved.text,
      prompt: payload.issue,
      ...resolved.toAISDKTelemetry(),
    });

    return { response: result.text };
  },
});

The prompts list page shows each prompt with its current version, model, override status, and a usage sparkline over the last 24 hours.

From the prompt detail page you can:

• Create overrides to change the prompt template or model without redeploying. Overrides take priority over the deployed version when prompt.resolve() is called.
• Promote any code-deployed version to be the current version
• Browse generations across all versions with infinite scroll and live polling for new results
• Filter by version, model, operation type, and provider
• View metrics (total generations, avg tokens, avg cost, latency) broken down by version

AI span inspectors

Every AI SDK operation now gets a custom inspector in the run trace view:

• ai.generateText / ai.streamText — Shows model, token usage, cost, the full message thread (system prompt, user message, assistant response), and linked prompt details
• ai.generateObject / ai.streamObject — Same as above plus the JSON schema and structured output
• ai.toolCall — Shows tool name, call ID, and input arguments
• ai.embed — Shows model and the text being embedded

For generation spans linked to a prompt, a "Prompt" tab shows the prompt metadata, the input variables passed to resolve(), and the template content from the prompt version.

All AI span inspectors include a compact timestamp and duration header.

Other improvements

• Resizable panel sizes now persist across page refreshes (patched @window-splitter/state to fix snapshot restoration)
• Run page panels also persist their sizes
• Fixed <div> inside <p> DOM nesting warnings in span titles and chat messages
• Added Operations and Providers filters to the AI metrics dashboard

Screenshots