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Details

feat(bot): add doctor summary built from structured card data

build_structured() aggregates a PatientCard into scores, flags and
adherence (no patient text, no names); build_summary() sends it through
the LLM gateway, falls back to a config-driven template, keeps an open
acute alert first and caches per (token, provider, data hash).

Refs #19

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

2026-10-03 15:33:37 +03:00

.gitea/workflows

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

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app

feat(bot): add doctor summary built from structured card data

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config

feat(bot): add doctor summary built from structured card data

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dashboard

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

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data

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

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docs

chore(core): stage 1 contracts — dialog, API schemas + fixtures, integrations, monitoring, modules

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infra/postgres

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

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scripts

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tests

feat(bot): add doctor summary built from structured card data

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.dockerignore

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

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.env.example

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

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.gitignore

docs: bootstrap repo — CLAUDE.md, spec, ADR, TenVex-style workflow

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.python-version

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CLAUDE.md

chore(core): stage 1 contracts — dialog, API schemas + fixtures, integrations, monitoring, modules

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docker-compose.yml

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

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Dockerfile

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

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Makefile

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

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pyproject.toml

chore(core): stage 1 contracts — dialog, API schemas + fixtures, integrations, monitoring, modules

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README.md

docs: bootstrap repo — CLAUDE.md, spec, ADR, TenVex-style workflow

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uv.lock

chore(core): stage 1 contracts — dialog, API schemas + fixtures, integrations, monitoring, modules

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README.md

PTSRaiAgent — ИИ-помощник сопровождения при ПТСР и депрессии

Хакатон MedITron · кейс SberMed AI «ИИ-помощник пациента». Прототип на синтетических данных. Telegram используется только для прототипа на синтетических данных; прод-канал — MAX / Госуслуги.

🚧 README заполняется к сдаче (issue «README по требованиям оформления»). Разделы по требованиям жюри:

Цели и задачи решения
Что реализовано
Развёртывание, запуск, использование
Входные и выходные данные, API
Ограничения и особенности медицинской тематики

Пока смотрите CLAUDE.md и docs/.