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feat(bot): chat agent on Gemini 2.5 Flash-Lite — grounded first turn, current-prescription defaults
CI / ruff · pytest (pull_request) Successful in 2m5s
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Live-tested on OpenRouter: Flash-Lite answers in 3–8 s with correct findings at ~$0.10/$0.40 per 1M tokens
(qwen3.7-flash and gpt-oss-120b took 26–32 s). Force a tool call on the first turn, give the model the
current prescription, let check_drug_for_patient default to it and return composition, intolerance check
and general interactions (alcohol); retry once on an empty final message.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
Eleboba
2026-10-04 14:59:38 +03:00
co-authored by Claude Opus 5.5
parent a2b1b2e7a5
commit 9ec61b9a03
7 changed files with 85 additions and 12 deletions
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.env.example
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@@ -9,7 +9,7 @@ GIGACHAT_MODEL=GigaChat
# --- Chat agent: auto | off | mock | openrouter | gigachat. OpenRouter = temporary, synthetic data only.
CHAT_AGENT=auto
OPENROUTER_API_KEY=
OPENROUTER_MODEL=anthropic/claude-sonnet-4.5
OPENROUTER_MODEL=google/gemini-2.5-flash-lite
# --- Pseudonymisation key: 32+ random bytes, hex. Generate: python -c "import secrets;print(secrets.token_hex(32))"
PSEUDO_KEY=