PM-3786 ai assisted skills suggestions#1725
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…s input in challenge & engagement forms
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| while (attempt < maxAttempts) { | ||
| try { | ||
| const response = await axiosInstance.get( | ||
| `${TC_AI_API_BASE_URL}/workflows/${workflowId}/runs/${runId}` |
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[correctness]
Consider adding a check for the response status code to ensure it is 200 before processing the response data. This can prevent issues if the API returns an error status with a valid JSON body.
| */ | ||
| export async function checkAIAPIHealth () { | ||
| try { | ||
| const response = await axiosInstance.get('/health', { timeout: 5000 }) |
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[❗❗ correctness]
The health check endpoint is being called without a base URL. Ensure that the axiosInstance is configured with the correct base URL, or prepend the base URL here to avoid potential issues in different environments.
kkartunov
approved these changes
Feb 11, 2026
| const showRequiredError = !readOnly && skillsRequired && challenge.submitTriggered && (!selectedSkills || !selectedSkills.length) | ||
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| // Check if description exists to show AI button | ||
| const hasDescription = challenge.description && challenge.description.trim().length > 0 |
Contributor
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We need to up this to logical value. Can't find skills from a desc with 1 character, right!?
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This pull request introduces AI-powered skill extraction to the Challenge & Engagement Editors, allowing users to automatically suggest and add relevant skills to a challenge/engagement based on the description.
-> Added a new service (
src/services/workflowAI.js) that interacts with an external AI workflow API to extract skills from challenge descriptions. This service handles starting workflow runs, polling for completion, and error handling.-> Updated configuration files (
config/constants/development.js,config/constants/production.js,src/config/constants.js) to include new environment variables and constants for the AI workflow service, such as API base URL, workflow ID, and polling intervals.-> Enhanced the
SkillsFieldcomponent to add an "AI Suggest" button, which triggers the AI skill extraction workflow. The UI provides loading feedback, disables interactions during processing, and displays success or error toasts based on the outcome.