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This project is a **controlled lab**:\n\n1. **ASR-first** — one local Whisper run → frozen transcript shared by all frameworks  \n2. **Same Greek clip** — helpline-style dialogue (ΚΛΙΜΑΚΑ domain)  \n3. **Measured** — WER vs human-reviewed gold, entity F1, orchestration time  \n4. **Clinical guardrails** — rule-based risk flags, evidence spans, hallucination checks (not LLM “gut feel”)\n\nExplore **agent orchestration patterns** where mistakes matter — without pretending this is a medical device.\n\n---\n\n## Architecture\n\n```\nupload audio\n    │\n    ▼\n┌─────────────────────────────────────┐\n│  Local Whisper (faster-whisper)     │  ← once per clip, cached\n│  Greek ASR · CPU/GPU auto           │\n└─────────────────────────────────────┘\n    │ frozen_transcript.json\n    ├──────────────┬──────────────┐\n    ▼              ▼              ▼\n AutoGen       LangGraph        CrewAI\n (actors)      (state graph)    (4-role crew)\n    │              │              │\n    └──────────────┴──────────────┘\n                   ▼\n        clinical_enrichment (rules)\n        risk · evidence · de-id · safety\n                   ▼\n           Final report (web + JSON/MD)\n```\n\nSee **[AGENTS.md](AGENTS.md)** for per-framework agent roles and design trade-offs.\n\n---\n\n## Example results\n\nSession on `1_2021-06-14_21_26_23.wav` (~13 min Greek helpline audio):\n\n| Metric | Value |\n|--------|-------|\n| Whisper | `large-v2` · WER **9.8%** vs human gold |\n| LangGraph orchestration | **~2.7s** (fastest) |\n| AutoGen orchestration | ~4.2s · best extraction |\n| CrewAI orchestration | ~19s · 4 sequential agent roles |\n| Risk flags | Active ideation + plan → supervisor review (all 3 agree) |\n\nFull write-up: [`examples/sample-final-report.md`](examples/sample-final-report.md) · metrics JSON: [`examples/session-demo-metrics.json`](examples/session-demo-metrics.json)\n\n---\n\n## Quick start\n\n```bash\ngit clone https://github.com/jimmyg1997/greek-clinical-agent-lab.git\ncd greek-clinical-agent-lab\n\npython3.12 -m venv .venv\nsource .venv/bin/activate\npip install -r requirements-webapp.txt\n\ncp .env.example .env\n# OPENAI_API_KEY=sk-...   (text extraction only; audio stays local)\n\nbrew install ffmpeg   # optional, for odd audio formats\n\npython app.py\n# → http://127.0.0.1:8765\n```\n\n1. Upload audio on **Overview**  \n2. Pick Whisper model (default `large-v2` for Greek)  \n3. Run all three frameworks → open **Report** tab  \n\nFirst Whisper run downloads weights (~3 GB for `large-v2`). Re-runs hit **transcript cache** (~30s for full comparison).\n\n---\n\n## Agent frameworks compared\n\n| Framework | Pattern | Strengths | Watch-outs |\n|-----------|---------|-----------|------------|\n| **LangGraph** | Deterministic graph + validate/retry | Fastest, auditable state machine | Less “autonomous” agent feel |\n| **AutoGen** | Actor runtime + message trace | Fault isolation, extensible | Slightly slower; trace UX |\n| **CrewAI** | Role-based crew (4 agents) | Readable roles, good for demos | Slowest; verify ICD/diagnosis hallucinations |\n\nDetails: [AGENTS.md](AGENTS.md) · methodology: [COMPARISON.md](COMPARISON.md)\n\n---\n\n## Clinical safety layer (rule-based)\n\nNot a replacement for clinicians. Adds **draft** documentation aids:\n\n- **Risk assessment** — ideation / plan / intent / means (C-SSRS-style simplified)\n- **Symptom evidence spans** — quote linked to transcript offset\n- **Hallucination guard** — strip meds/vitals/diagnoses not in transcript\n- **De-identification** on exports (phones, emails, names)\n\nSee `clinical_enrichment.py` and [docs/ETHICS.md](docs/ETHICS.md).\n\n---\n\n## Optional: Grafana + Prometheus\n\n```bash\ndocker compose -f docker-compose.observability.yml up -d\n```\n\nDashboard: **Greek Clinical Pipeline** — pipeline duration, Loguru logs via Loki.\n\n---\n\n## Gold benchmark (optional)\n\nPoint `GOLD_DATASET_ROOT` at a folder with human-reviewed references to compute WER. This repo ships **metrics-only examples**; full gold corpus lives in a separate research project.\n\n---\n\n## Project structure\n\n```\napp.py                  FastAPI + NDJSON streaming UI\npipelines/              autogen · langgraph · crewai\nclinical_enrichment.py  Rule-based safety + risk\nlocal_whisper.py        faster-whisper + GPU/CPU auto\nfinal_report_builder.py Report tables for UI/export\nstatic/                 Dashboard (flowcharts, report tab)\nexamples/               Sample metrics + report (no raw PHI)\nruntime/                Vendored AutoGen-style actor runtime\ntests/\n```\n\n---\n\n## Contributing\n\nIssues and PRs welcome — especially: new agent frameworks, better Greek ASR, safer clinical schemas, Colab/demo mode.\n\n---\n\n## Disclaimer\n\n**DRAFT CHART — HUMAN REVIEW ONLY.** Built for AI engineering education and agent-framework research on anonymized/simulated helpline-style audio. Not FDA/CE marked. Not for emergency use. If you or someone you know is in crisis, contact local emergency services or [ΚΛΙΜΑΚΑ 1018](https://www.klimaka.org.gr/) (Greece).\n\n---\n\n## Author\n\n**Dimitrios Georgiou** — ML engineer · Greek NLP · mental-health tech research  \n\n---\n\n## License\n\nMIT — see [LICENSE](LICENSE).\n","readmeExcerpt":"Greek Clinical Agent Lab **Fair comparison of AutoGen, LangGraph, and CrewAI on Greek mental-health helpline audio** — with local Whisper, rule-based clinical safety, and a live web dashboard. 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