ElebobaandClaude Opus 5.5 924a51c483 feat(bot): LLM gateway with GigaChat and offline mock providers ...

Single entry point app/llm/gateway.py: extract_item, extract_checkin,
risk_classify, phrase, summarize_for_doctor. Two-level design:
LLMProvider (transport, GigaChat) and LLMTasks (PromptedTasks over a
provider, or rule-based MockTasks). Shared policy in the gateway:
assert_scrubbed backstop, confidence threshold 0.5, risk failure -> NONE,
forbidden-output filter with config/texts/phrases.yaml fallbacks.

Refs #7

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

2026-10-03 15:00:41 +03:00

..

__init__.py

chore(devops): project skeleton — uv, docker compose, Makefile, CI

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base.py

feat(bot): LLM gateway with GigaChat and offline mock providers

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cli.py

feat(bot): LLM gateway with GigaChat and offline mock providers

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gateway.py

feat(bot): LLM gateway with GigaChat and offline mock providers

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giga.py

feat(bot): LLM gateway with GigaChat and offline mock providers

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guard.py

feat(bot): LLM gateway with GigaChat and offline mock providers

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mock.py

feat(bot): LLM gateway with GigaChat and offline mock providers

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prompts.py

feat(bot): LLM gateway with GigaChat and offline mock providers

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schemas.py

feat(bot): LLM gateway with GigaChat and offline mock providers

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tasks.py

feat(bot): LLM gateway with GigaChat and offline mock providers

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texts.py

feat(bot): LLM gateway with GigaChat and offline mock providers

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