Add AI-enriched context message generation:
- backend/src/lib/ai-context.ts: LLM-powered context generator with keyword fallback
- Calls extraction-service timer-context task when EXTRACTION_SERVICE_URL is set
- Falls back to keyword rules, then generic message
- Gated behind isFeatureEnabled('ai_context_messages.enabled')
- backend/src/lib/config.ts: Add EXTRACTION_SERVICE_URL env var
- backend/src/server.ts: POST /api/context-message route
- web/src/lib/context-messages.ts: fetchEnrichedMessage() with graceful degradation
- Updated AGENTIC_AI_ROADMAP.md checkboxes for Phase A.1 + A.2
All 219 backend tests + 394 web tests pass. No breaking changes.
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| e2e | ||
| public | ||
| scripts | ||
| src | ||
| .env.example | ||
| .gitignore | ||
| Dockerfile | ||
| env.example | ||
| eslint.config.mjs | ||
| netlify.toml | ||
| next.config.ts | ||
| package.json | ||
| playwright.config.ts | ||
| postcss.config.mjs | ||
| README.md | ||
| tsconfig.json | ||
| vitest.config.ts | ||
This is a Next.js project bootstrapped with create-next-app.
Getting Started
First, run the development server:
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev
Open http://localhost:3000 with your browser to see the result.
You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.
This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.
Learn More
To learn more about Next.js, take a look at the following resources:
- Next.js Documentation - learn about Next.js features and API.
- Learn Next.js - an interactive Next.js tutorial.
You can check out the Next.js GitHub repository - your feedback and contributions are welcome!
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The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.
Check out our Next.js deployment documentation for more details.