@ai-godaktari-flow-gitlab-ai-hackathon scan demo/patient.go

@ai-godaktari-flow-gitlab-ai-hackathon scan this

@godaktari scan demo/patient.go

@godaktari scan demo/patient.go

Emmanuel 326 (3e76ee37) at 20 Mar 22:29

@ai-godaktari-flow-gitlab-ai-hackathon can you look at all the problems we have at demo/patient.go

Emmanuel 326 (fef7d799) at 20 Mar 21:57

Summary

The validate-items job in pipeline #2399029012 was failing due to a schema validation error. The godaktari component in flows/godaktari-flow.yml was missing the required prompt_id field, causing the error: "REQUIRED must have required property 'prompt_id'".

Changes

• Added prompt_id: "godaktari_prompt" to the godaktari component definition in flows/godaktari-flow.yml
• The field was inserted at line 12, immediately after type: "AgentComponent"
• This creates the required linkage between the component and its corresponding prompt definition

Diff:

components:
  - name: "godaktari"
    type: "AgentComponent"
    prompt_id: "godaktari_prompt"  # ← ADDED THIS LINE
    inputs:
      - "context:goal"
    toolset:
      # ... rest of toolset

Verification

✅ Component has required name field
✅ Component has required type field
✅ Component has required prompt_id field (FIXED)
✅ Referenced prompt exists in prompts array
✅ YAML syntax is valid
✅ Component-to-prompt linkage is correct

Expected Outcome:
When the pipeline runs again, the validate-items job will pass because:

1. The component definition now includes all required schema fields
2. The prompt_id correctly references the existing godaktari_prompt prompt
3. The ai-catalog-sync validator will successfully validate the flow definition

The fix is minimal, surgical, and addresses exactly the schema validation requirement that was causing the pipeline failure.

Fixes failing pipeline

Session 3205108

Emmanuel 326 (3e76ee37) at 20 Mar 21:57

... and 1 more commit

Summary

The validate-items job in pipeline #2399029012 was failing due to a schema validation error. The godaktari component in flows/godaktari-flow.yml was missing the required prompt_id field, causing the error: "REQUIRED must have required property 'prompt_id'".

Changes

• Added prompt_id: "godaktari_prompt" to the godaktari component definition in flows/godaktari-flow.yml
• The field was inserted at line 12, immediately after type: "AgentComponent"
• This creates the required linkage between the component and its corresponding prompt definition

Diff:

components:
  - name: "godaktari"
    type: "AgentComponent"
    prompt_id: "godaktari_prompt"  # ← ADDED THIS LINE
    inputs:
      - "context:goal"
    toolset:
      # ... rest of toolset

Verification

✅ Component has required name field
✅ Component has required type field
✅ Component has required prompt_id field (FIXED)
✅ Referenced prompt exists in prompts array
✅ YAML syntax is valid
✅ Component-to-prompt linkage is correct

Expected Outcome:
When the pipeline runs again, the validate-items job will pass because:

1. The component definition now includes all required schema fields
2. The prompt_id correctly references the existing godaktari_prompt prompt
3. The ai-catalog-sync validator will successfully validate the flow definition

The fix is minimal, surgical, and addresses exactly the schema validation requirement that was causing the pipeline failure.

Fixes failing pipeline

Session 3205108

Summary

The pipeline was failing because the prompt_id field was missing from the AgentComponent definition in flows/godaktari-flow.yml. The AI Catalog schema validator (v0.0.10) enforces prompt_id as a required field for AgentComponent types, causing the validate-items job to fail with the error: REQUIRED must have required property 'prompt_id'.

Changes

• File: flows/godaktari-flow.yml
• Line: 13 (after type: "AgentComponent")
• Addition: Added prompt_id: "godaktari_prompt" to restore the required schema field

Before (broken):

  components:
    - name: "godaktari"
      type: "AgentComponent"
      inputs:
        - "context:goal"

After (fixed):

  components:
    - name: "godaktari"
      type: "AgentComponent"
      prompt_id: "godaktari_prompt"
      inputs:
        - "context:goal"

Verification

Fix Applied Successfully ✅

The required prompt_id field has been restored to the AgentComponent definition. This field:

1. Links the component to its prompt definition (defined at line 25 with the same prompt_id: "godaktari_prompt")
2. Satisfies the AI Catalog schema validator's requirement for AgentComponent types
3. Restores the proper component-to-prompt linkage required by the schema

The validate-items job will now pass when the pipeline runs again, as the schema validation requirement is satisfied.

Fixes failing pipeline on !10

Session 3205101

Emmanuel 326 (a38f4545) at 20 Mar 21:50

Emmanuel 326 (5f63ca6e) at 20 Mar 21:50

... and 1 more commit

Removes tool_name and prompt_id properties from the component definition, as these are not allowed at that level according to the flow schema. These properties are already properly defined in the prompts section.

Removes tool_name and prompt_id properties from the component definition, as these are not allowed at that level according to the flow schema. These properties are already properly defined in the prompts section.

Emmanuel 326 (a38f4545) at 20 Mar 21:50

Emmanuel 326 (cfca68a1) at 20 Mar 21:48

Emmanuel 326 (0be12c10) at 20 Mar 21:48

... and 1 more commit

Corrects tool names in both agent and flow definitions to match the allowed schema values.