ElebobaandClaude Opus 5.5
6dda5f9b30
CI / ruff · pytest (pull_request) Successful in 2m10s
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>
60 lines
2.4 KiB
Python
60 lines
2.4 KiB
Python
"""Try the chat agent from the shell (synthetic personas only):
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uv run python -m app.llm.agent "Можно мне ибупрофен вместе с моими таблетками?" --persona andrey
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CHAT_AGENT=mock uv run python -m app.llm.agent "Есть ли лактоза в сертралине?"
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Prescriptions come from the МИС mock (DB if reachable, else data/meds/mis_prescriptions.json); the question is
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scrubbed before it reaches any provider.
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"""
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import argparse
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import asyncio
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import logging
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from app.config import get_settings
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from app.core.privacy import pseudo_id, scrub
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from app.integrations.base import Prescription, integrations
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from app.llm.agent import answer_chat, build_provider, render
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PERSONAS = { # synthetic SNILS from scripts/seed_demo.py → current psychiatric prescription
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"andrey": ("900-000-013 34", "сертралин"),
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"dmitry": ("900-000-041 01", "сертралин"),
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"sergey": ("900-000-037 02", "пароксетин"),
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"nikolay": ("900-000-052 03", "сертралин"),
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"anna": ("900-000-023 04", "флуоксетин"),
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"pavel": ("900-000-045 07", "эсциталопрам"),
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}
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class _FixedRx:
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def __init__(self, drug: str) -> None:
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self.drug = drug
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async def get_prescriptions(self, token: str) -> list[Prescription]:
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return [Prescription(drug=self.drug, dose="по назначению врача")]
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async def main() -> None:
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p = argparse.ArgumentParser()
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p.add_argument("question")
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p.add_argument("--persona", default="andrey", choices=sorted(PERSONAS))
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p.add_argument("-v", "--verbose", action="store_true")
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a = p.parse_args()
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logging.basicConfig(level=logging.INFO if a.verbose else logging.WARNING)
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snils, drug = PERSONAS[a.persona]
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integrations.prescriptions = _FixedRx(drug) # CLI runs without the DB
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provider = build_provider()
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if provider is None:
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raise SystemExit(
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f"agent disabled (CHAT_AGENT={get_settings().chat_agent}); set OPENROUTER_API_KEY or CHAT_AGENT=mock"
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)
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ans = await answer_chat(pseudo_id(snils), scrub(a.question), provider=provider)
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if ans is None:
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raise SystemExit("no answer (provider error, filtered output or nothing found) — chat falls back to RAG")
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print(render(ans))
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print(f"\n[provider={ans.provider} tools={', '.join(ans.tools)}]")
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if __name__ == "__main__":
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asyncio.run(main())
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