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Live progress indicators + feedback widget Running
bshepp
- Backend: yield running state before each step so frontend sees real-time transitions
- AgentPipeline: live elapsed timer, spinning indicator, contextual activity messages
- FeedbackWidget: floating button -> message + optional contact form
- Backend: POST /api/feedback endpoint (JSONL storage)
- Pipeline running view: better messaging about expected duration
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feat: add MedGemma readiness gate to prevent cold-start pipeline failures
bshepp
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fix: add retry logic, error handling, and startup diagnostics for deployed pipeline
bshepp
- Add startup config logging in main.py (masked secrets, warnings if empty)
- Add retry with exponential backoff in MedGemma API (3 retries, handles 503 cold-start)
- Broaden patient_parser exception handler (catch all, not just ValueError)
- Stop pipeline on critical step failure (skip remaining instead of cascading errors)
- Add /api/health/config diagnostic endpoint
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Initial commit: CDS Agent - Clinical Decision Support System
bshepp
- 5-step agentic pipeline: parse reason drug check RAG guidelines synthesize
- Backend: FastAPI + Python 3.10, Gemma 3 27B IT via Google AI Studio
- Frontend: Next.js 14 + React 18 + TypeScript + Tailwind CSS
- RAG: ChromaDB with 62 clinical guidelines across 14 specialties
- Drug APIs: OpenFDA + RxNorm/NLM
- Tests: E2E pipeline, 30 RAG quality queries (100% pass), 22 clinical scenarios
- Full documentation: architecture, test results, development log, writeup
