Free-text treatment and medication questions go to an LLM agent with read-only tools bound to the current
patient: guideline search (RAG, doses stripped), ЕМИАС record mock (diagnoses, comorbidities, intolerances,
other specialists' drugs, current prescription), drug info (composition, contraindications, interactions)
and a deterministic patient-specific check. Providers: OpenRouter (temporary, synthetic data only) and an
offline mock; GigaChat to follow. Scrubbed input only, forbidden-output filter, any failure falls back to
the existing extractive RAG / instruction answers. Off unless OPENROUTER_API_KEY or CHAT_AGENT=mock.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
- scripts/seed_demo.py: doctor doc-smirnova (on call), Andrey day 0 (connect code,
no consent) or day N with history; 7 patients with seeded-random histories.
Alerts and colours come from the real rules evaluated day by day.
- --reset drops/recreates both DBs and zeroes the demo clock; seed keeps the
persisted clock offset so dates match the running app.
- data/synthetic/andrey.jsonl: console scenario for days 0..13 generated from
config button labels (--write-scenario).
- tests: idempotency, modes, colours, scenario format/sync and a full replay of
the scenario through the real engine, scheduler and monitoring.
Refs #18
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
One Postgres with isolated identity/clinical databases and roles (ADR-003),
FastAPI /health, Streamlit placeholder, typed settings with offline defaults.
Refs #1
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
ElebobaandClaude Opus 5.5