feat(contract): add opt-in MAX configuration and lifecycle

Refs #81

.env.example

@@ -37,3 +37,13 @@ GITEA_URL=https://gitea.24studbank.ru
 GITEA_REPO=MedITron/PTSRaiAgent
 GITEA_USER=
 GITEA_TOKEN=
+# MAX notifications: keep disabled until the backend/channel PRs and a real bot are installed.
+MAX_ENABLED=false
+MAX_BOT_TOKEN=
+MAX_BOT_USERNAME=
+MAX_WEBHOOK_SECRET=
+MAX_WEBHOOK_URL=
+MAX_SITE_URL=
+# Optional path to a trusted PEM CA bundle; never disable TLS verification.
+MAX_CA_BUNDLE=
+MAX_LINK_TTL_SECONDS=600

app/config.py

@@ -1,10 +1,12 @@
 """Typed application settings. The only place that reads environment variables."""
 
+import re
 from functools import lru_cache
 from pathlib import Path
 from typing import Literal
+from urllib.parse import urlsplit
 
-from pydantic import Field
+from pydantic import Field, SecretStr, model_validator
 from pydantic_settings import BaseSettings, SettingsConfigDict
 
 ROOT_DIR = Path(__file__).resolve().parent.parent
@@ -35,6 +37,7 @@ class Settings(BaseSettings):
     openrouter_api_key: str = ""
     openrouter_model: str = "google/gemini-2.5-flash-lite"
     openrouter_base_url: str = "https://openrouter.ai/api/v1"
+    gigachat_agent_model: str = "GigaChat-2-Pro"  # function calling quality matters more than price here
     chat_agent_timeout_s: float = 25.0
     chat_agent_max_steps: int = 5
 
@@ -42,6 +45,36 @@ class Settings(BaseSettings):
     tg_bot_token: str = ""
     doctor_notify_chat_id: int | None = None
 
+    # MAX is opt-in. Its adapter is delivered in the related backend/channel changes.
+    max_enabled: bool = False
+    max_bot_token: SecretStr = SecretStr("")
+    max_bot_username: str = ""
+    max_webhook_secret: SecretStr = SecretStr("")
+    max_webhook_url: str = ""
+    max_site_url: str = ""
+    max_ca_bundle: Path | None = None
+    max_link_ttl_seconds: int = Field(default=600, ge=60, le=1800)
+
+    @model_validator(mode="after")
+    def validate_max(self) -> "Settings":
+        if not self.max_enabled:
+            return self
+        if not self.max_bot_token.get_secret_value().strip():
+            raise ValueError("MAX_BOT_TOKEN is required when MAX_ENABLED=true")
+        if not re.fullmatch(r"[A-Za-z0-9_]{1,128}", self.max_bot_username):
+            raise ValueError("MAX_BOT_USERNAME must be the bot nickname without @ or a URL")
+        if not re.fullmatch(r"[A-Za-z0-9_-]{32,256}", self.max_webhook_secret.get_secret_value()):
+            raise ValueError("MAX_WEBHOOK_SECRET must contain 32..256 URL-safe characters")
+        for name, value in (("MAX_SITE_URL", self.max_site_url), ("MAX_WEBHOOK_URL", self.max_webhook_url)):
+            url = urlsplit(value)
+            if url.scheme != "https" or not url.hostname or url.username or url.password or url.port not in (None, 443):
+                raise ValueError(f"{name} must use HTTPS on port 443 without credentials")
+            if url.query or (name == "MAX_WEBHOOK_URL" and url.fragment):
+                raise ValueError(f"{name} must not contain a query string (or a fragment for webhook)")
+        if self.max_ca_bundle is not None and not self.max_ca_bundle.is_file():
+            raise ValueError("MAX_CA_BUNDLE must point to an existing trusted CA bundle")
+        return self
+
     # Virtual clock for the demo (ADR-005).
     demo_clock: bool = True
     tz: str = "Europe/Moscow"

app/dialog/flows/veteran_daily.py

@@ -448,7 +448,9 @@ async def _idle_text(ctx: Ctx, event: Event) -> Step:
         await save_checkin(ctx, **fields)
     if text is None and facts.med_question and not facts.quit_intent:
         text = await answer_question(ctx, await current_prescription(ctx))
-    if text is None and not fields and looks_like_question(ctx.text):
+    # A question is answered even if it also mentioned alcohol/side effects (those are recorded above).
+    # Quit intent gets the rule reaction (delayed-onset explanation + doctor notified) — no second answer.
+    if text is None and not facts.quit_intent and looks_like_question(ctx.text):
         text = await knowledge_answer(ctx, explicit=False)  # general question → clinical guidelines (#64)
     if text is None:
         text = await ctx.gateway.phrase("support")

app/llm/agent/__init__.py

@@ -22,6 +22,7 @@ from app.config import Settings, get_settings
 from app.core.types import ScrubbedText
 from app.llm.agent.prompts import SYSTEM_PROMPT
 from app.llm.agent.providers import (
+    GigaChatToolProvider,
     MockAgentProvider,
     OpenRouterProvider,
     ProviderError,
@@ -49,7 +50,7 @@ def build_provider(settings: Settings | None = None) -> ToolChatProvider | None:
     s = settings or get_settings()
     mode = s.chat_agent
     if mode == "auto":
-        mode = "openrouter" if s.openrouter_api_key else "off"
+        mode = "gigachat" if s.gigachat_credentials else "openrouter" if s.openrouter_api_key else "off"
     if mode == "openrouter":
         if not s.openrouter_api_key:
             log.warning("chat agent: openrouter selected without OPENROUTER_API_KEY — disabled")
@@ -58,12 +59,23 @@ def build_provider(settings: Settings | None = None) -> ToolChatProvider | None:
     if mode == "mock":
         return MockAgentProvider()
     if mode == "gigachat":
-        # TODO(GigaChat): function calling via the `gigachat` package (functions=..., message.function_call).
+        if not s.gigachat_credentials:
-        log.warning("chat agent: gigachat provider not implemented yet — disabled")
+            log.warning("chat agent: gigachat selected without GIGACHAT_CREDENTIALS — disabled")
             return None
+        return GigaChatToolProvider(s)
     return None
 
 
+async def _chat_with_retry(provider: ToolChatProvider, messages: list[dict[str, Any]]):
+    """One retry: OpenRouter occasionally fails a single call (seen live as intermittent ProviderError)."""
+    wire = _wire(messages) if provider.name == "openrouter" else messages  # gigachat needs the tool `name`
+    try:
+        return await provider.chat(wire, TOOL_SPECS)
+    except ProviderError as exc:
+        log.warning("chat agent provider=%s retry after %s", provider.name, exc)
+        return await provider.chat(wire, TOOL_SPECS)
+
+
 async def _patient_brief(ctx: ToolContext) -> str:
     """One line of context so the model knows what «мои таблетки» means (drug names only, no identifiers)."""
     rec = await ctx.record()
@@ -99,7 +111,7 @@ async def answer_chat(
     try:
         async with asyncio.timeout(s.chat_agent_timeout_s * 2):
             for _ in range(s.chat_agent_max_steps):
-                turn = await provider.chat(_wire(messages) if provider.name != "mock" else messages, TOOL_SPECS)
+                turn = await _chat_with_retry(provider, messages)
                 if not turn.tool_calls:
                     if not (turn.content or "").strip() and not nudged:
                         # Some models (Gemini Flash) occasionally end with an empty message after tool results.
@@ -127,7 +139,10 @@ async def answer_chat(
             log.warning("chat agent: step limit reached tools=%s", ",".join(ctx.used))
             return None
     except (ProviderError, TimeoutError) as exc:
-        log.error("chat agent provider=%s failed: %s", provider.name, type(exc).__name__ or "timeout")
+        log.error("chat agent provider=%s failed: %s %s", provider.name, type(exc).__name__, exc)
+        return None
+    except Exception:  # noqa: BLE001 — the agent is optional: any bug must degrade to the extractive answer, not a 500
+        log.exception("chat agent provider=%s crashed", provider.name)
         return None
 
 

app/llm/agent/prompts.py

@@ -9,11 +9,15 @@ SYSTEM_PROMPT = """Ты — помощник пациента в сервисе
    о «моих таблетках», для текущего назначения). Вопросы об алкоголе, еде, вождении, сочетании с другими
    средствами, составе и непереносимостях — тоже вопросы о лекарстве: проверь текущее назначение через
    check_drug_for_patient (там есть состав, сравнение с непереносимостями и все взаимодействия).
+   Вопросы «когда подействует», «что будет, если бросить», «как принимать», побочные эффекты — смотри поле
+   instruction в check_drug_for_patient (инструкция ГРЛС) и дополняй search_guidelines.
    Для общих вопросов о лечении вызывай search_guidelines.
 2. Отвечай ТОЛЬКО на основе результатов инструментов. Если в них нет ответа — честно скажи, что в
    рекомендациях и инструкции этого нет, и предложи уточнить у лечащего врача. Ничего не додумывай.
 3. Если check_drug_for_patient вернул findings — назови КАЖДУЮ находку (сначала severity=high) простыми
    словами и посоветуй обсудить с врачом до приёма. Пустой список не значит «безопасно».
+   Находки (findings) упоминай, когда вопрос о приёме, сочетании или безопасности препарата; на вопросы о
+   сроках действия, отмене, побочных эффектах отвечай по существу, без посторонних находок.
    Про состав и непереносимости (intolerance_check) говори, только если о них спросили.
    Про алкоголь бери текст из general_interactions.
 4. Ссылайся на источник в тексте коротко: «по клиническим рекомендациям», «по инструкции к препарату»,

app/llm/agent/providers.py

@@ -66,6 +66,13 @@ class OpenRouterProvider:
         except httpx.HTTPError as exc:
             raise ProviderError(type(exc).__name__) from exc
         if resp.status_code != 200:
+            # Provider error bodies are generic (no patient text) — log the message to make failures diagnosable.
+            try:
+                err = resp.json().get("error", "")
+                detail = str(err.get("message", "") if isinstance(err, dict) else err)[:200]
+            except (ValueError, AttributeError):
+                detail = resp.text[:200]
+            log.error("openrouter http %s: %s", resp.status_code, detail)
             raise ProviderError(f"http {resp.status_code}")
         try:
             msg = resp.json()["choices"][0]["message"]
@@ -84,6 +91,88 @@ class OpenRouterProvider:
         return AssistantTurn(content=msg.get("content"), tool_calls=calls)
 
 
+class GigaChatToolProvider:
+    """GigaChat function calling (RF provider, 152-FZ compliant). Converts the OpenAI-style history the agent keeps:
+    assistant `tool_calls` → `function_call`, `tool` results → role `function` with the function name.
+    GigaChat returns at most one function call per turn — the agent loop handles that naturally."""
+
+    name = "gigachat"
+
+    def __init__(self, settings: Settings, client: Any | None = None) -> None:
+        self._settings = settings
+        self._client = client
+
+    def _get_client(self) -> Any:
+        if self._client is None:
+            from gigachat import GigaChat
+
+            s = self._settings
+            self._client = GigaChat(
+                credentials=s.gigachat_credentials,
+                scope=s.gigachat_scope,
+                model=s.gigachat_agent_model,
+                verify_ssl_certs=s.gigachat_verify_ssl,
+                timeout=s.chat_agent_timeout_s,
+            )
+        return self._client
+
+    @staticmethod
+    def to_messages(messages: list[dict[str, Any]]) -> list[Any]:
+        from gigachat.models import FunctionCall, Messages, MessagesRole
+
+        out = []
+        for m in messages:
+            role = m["role"]
+            if role == "system":
+                out.append(Messages(role=MessagesRole.SYSTEM, content=m["content"]))
+            elif role == "user":
+                out.append(Messages(role=MessagesRole.USER, content=m["content"]))
+            elif role == "assistant":
+                calls = m.get("tool_calls") or []
+                for c in calls or [None]:
+                    fc = None
+                    if c is not None:
+                        fc = FunctionCall(name=c["function"]["name"], arguments=json.loads(c["function"]["arguments"]))
+                    out.append(Messages(role=MessagesRole.ASSISTANT, content=m.get("content") or "", function_call=fc))
+            elif role == "tool":
+                out.append(Messages(role=MessagesRole.FUNCTION, name=m.get("name"), content=m["content"]))
+        return out
+
+    @staticmethod
+    def to_functions(tools: list[dict[str, Any]]) -> list[Any]:
+        from gigachat.models import Function
+
+        return [Function.model_validate(t["function"]) for t in tools]
+
+    async def chat(self, messages: list[dict[str, Any]], tools: list[dict[str, Any]]) -> AssistantTurn:
+        from gigachat.models import Chat
+
+        chat = Chat(
+            messages=self.to_messages(messages),
+            functions=self.to_functions(tools),
+            function_call="auto",
+            temperature=0.1,
+            max_tokens=900,
+        )
+        try:
+            resp = await self._get_client().achat(chat)
+        except Exception as exc:  # noqa: BLE001 — network/auth/HTTP errors of the SDK
+            raise ProviderError(type(exc).__name__) from exc
+        msg = resp.choices[0].message
+        calls = []
+        if msg.function_call is not None:
+            args = msg.function_call.arguments or {}
+            if isinstance(args, str):
+                try:
+                    args = json.loads(args)
+                except json.JSONDecodeError:
+                    args = {}
+            calls.append(ToolCall(id=msg.function_call.name, name=msg.function_call.name, arguments=args))
+        usage = getattr(resp, "usage", None)
+        log.info("gigachat agent ok calls=%d tokens=%s", len(calls), getattr(usage, "total_tokens", None))
+        return AssistantTurn(content=msg.content or None, tool_calls=calls)
+
+
 # ------------------------------------------------------------------------------------------------ offline mock
 
 _DRUG_WORDS = re.compile(

app/llm/agent/tools.py

@@ -10,6 +10,7 @@ import re
 from dataclasses import dataclass, field
 from typing import Any
 
+from app.integrations.base import integrations
 from app.integrations.emias_record import PatientRecord, emias_records
 from app.llm.agent.drug_safety import check_patient, find_drug, load_db
 from app.llm.rag import retrieve
@@ -183,10 +184,12 @@ async def _check(ctx: ToolContext, name: str) -> dict[str, Any]:
             if hit
             else "в примере состава этого вещества нет; состав зависит от производителя."
         )
+    instruction = await _instruction(ctx, entry.inn)
     return {
         "found": True,
         "inn": entry.inn,
         "record": True,
+        "instruction": instruction,  # ГРЛС excerpts: onset, side effects, discontinuation, administration
         "findings": [f.model_dump() for f in findings],
         "intolerance_check": intolerance_check,
         "composition": comp.model_dump(exclude={"excipient_tags"}) if comp else None,
@@ -196,5 +199,21 @@ async def _check(ctx: ToolContext, name: str) -> dict[str, Any]:
     }
 
 
+INSTRUCTION_SECTIONS = ("onset", "side_effects", "discontinuation", "administration", "alcohol")
+
+
+async def _instruction(ctx: ToolContext, inn: str) -> dict[str, str]:
+    """ГРЛС excerpts for the drug (no doses in mg — see data/meds/grls)."""
+    try:
+        sections = await integrations.drug_info.sections(inn)
+    except Exception as exc:  # noqa: BLE001
+        log.error("drug_info unavailable: %s", type(exc).__name__)
+        return {}
+    out = {s.section: s.text for s in sections if s.section in INSTRUCTION_SECTIONS}
+    if out:
+        ctx.cite(sections[0].source.split(",")[0] + ": инструкция к препарату")
+    return out
+
+
 def _json(data: Any) -> str:
     return json.dumps(data, ensure_ascii=False)

app/main.py

@@ -30,12 +30,24 @@ async def lifespan(_: FastAPI) -> AsyncGenerator[None, None]:
         # In compose Postgres is required and healthy before the app starts; this branch is for running the
         # API (and its tests) without a database. Endpoints touching the DB will fail until it is reachable.
         log.error("db init failed, continuing without db: %s", type(exc).__name__)
+        if settings.max_enabled:
+            raise  # MAX requires persistent bindings and a delivery queue.
     # Lanes fill these in (#13, #11); main.py itself stays frozen (#34).
-    await scheduler.start()
+    max_channel = None
+    try:
         await telegram.start()
+        if settings.max_enabled:
+            from app.channels import max_bot
+
+            max_channel = max_bot
+            await max_channel.start()
+        await scheduler.start()
         yield
-    await telegram.stop()
+    finally:
         await scheduler.stop()
+        if max_channel is not None:
+            await max_channel.stop()
+        await telegram.stop()
         await dispose()
 
 

infra/deploy/deploy.sh

@@ -0,0 +1,24 @@
+#!/usr/bin/env bash
+# Deploy origin/dev to the shared server (ssh alias `vobot`, dir /srv/ptsr). Run from a clean checkout:
+#   infra/deploy/deploy.sh [git-ref]        default: origin/dev
+# Keeps /srv/ptsr/.env (secrets live only on the server) and the Postgres volume.
+set -euo pipefail
+REF=${1:-origin/dev}
+HOST=${DEPLOY_HOST:-vobot}
+DIR=/srv/ptsr
+git fetch -q origin || true
+SHA=$(git rev-parse --short "$REF")
+echo "deploy $REF ($SHA) -> $HOST:$DIR"
+git archive --format=tar "$REF" | ssh "$HOST" "rm -rf $DIR/app.new && mkdir -p $DIR/app.new && tar -x -C $DIR/app.new"
+ssh "$HOST" bash -s <<SH
+set -euo pipefail
+cd $DIR
+cp .env app.new/.env
+rm -rf app.old; [ -d app ] && mv app app.old; mv app.new app
+cd app
+echo "$SHA" > REVISION
+docker run --rm -v "\$PWD/web:/w" -w /w node:20-alpine sh -c "npm ci --no-audit --no-fund >/dev/null && npm run build >/dev/null"
+docker compose -p ptsr -f docker-compose.yml -f infra/deploy/docker-compose.server.yml up -d --build </dev/null
+for i in \$(seq 1 40); do curl -sf 127.0.0.1:8010/health >/dev/null && break; sleep 3; done
+curl -sf 127.0.0.1:8010/health && echo " api ok"
+SH

infra/deploy/docker-compose.server.yml

@@ -0,0 +1,30 @@
+# Server override (shared host with vobot): loopback-only ports behind host nginx, restart policy, memory caps.
+#   docker compose -p ptsr -f docker-compose.yml -f infra/deploy/docker-compose.server.yml up -d --build
+services:
+  postgres:
+    ports: !reset []
+    restart: unless-stopped
+    mem_limit: 512m
+
+  app:
+    ports: !override
+      - "127.0.0.1:8010:8000"
+    restart: unless-stopped
+    mem_limit: 768m
+
+  dashboard:
+    command:
+      - streamlit
+      - run
+      - dashboard/app.py
+      - --server.port=8501
+      - --server.address=0.0.0.0
+      - --server.baseUrlPath=doctor
+      - --browser.gatherUsageStats=false
+    environment:
+      API_BASE_URL: http://app:8000
+      DASHBOARD_PUBLIC_URL: ${PUBLIC_URL:-http://localhost}/doctor
+    ports: !override
+      - "127.0.0.1:8511:8501"
+    restart: unless-stopped
+    mem_limit: 768m

infra/deploy/nginx-meditron.conf

@@ -0,0 +1,52 @@
+# meditron.tenvex.ru — PTSRaiAgent prototype (synthetic data only).
+#   /          patient web app (static, web/dist)
+#   /api/      FastAPI (127.0.0.1:8010)
+#   /doctor/   Streamlit doctor dashboard + demo console (127.0.0.1:8511, baseUrlPath=doctor)
+# TLS: after the DNS A-record exists — certbot --nginx -d meditron.tenvex.ru
+
+map $http_upgrade $ptsr_connection_upgrade {
+    default upgrade;
+    ''      close;
+}
+
+server {
+    listen 80;
+    listen [::]:80;
+    server_name meditron.tenvex.ru;
+
+    access_log /var/log/nginx/ptsr-access.log;
+    client_max_body_size 5m;
+
+    root /srv/ptsr/app/web/dist;
+    index index.html;
+
+    location / {
+        try_files $uri $uri/ /index.html;
+    }
+
+    location /api/ {
+        proxy_pass http://127.0.0.1:8010;
+        proxy_set_header Host $host;
+        proxy_set_header X-Real-IP $remote_addr;
+        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+        proxy_set_header X-Forwarded-Proto $scheme;
+        proxy_read_timeout 120s;   # chat agent + scheduler replay on clock advance
+    }
+
+    location ~ ^/(docs|openapi.json|health)$ {
+        proxy_pass http://127.0.0.1:8010;
+        proxy_set_header Host $host;
+    }
+
+    location /doctor/ {
+        proxy_pass http://127.0.0.1:8511;
+        proxy_http_version 1.1;
+        proxy_set_header Upgrade $http_upgrade;
+        proxy_set_header Connection $ptsr_connection_upgrade;
+        proxy_set_header Host $host;
+        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+        proxy_set_header X-Forwarded-Proto $scheme;
+        proxy_read_timeout 86400s;
+        proxy_buffering off;
+    }
+}

tests/test_contracts_max.py

@@ -0,0 +1,47 @@
+"""MAX stays off without credentials; enabled deployments fail closed on incomplete settings."""
+
+import pytest
+from pydantic import ValidationError
+
+from app.config import Settings
+
+
+def configured(**overrides):
+    fields = {
+        "max_enabled": True,
+        "max_bot_token": "test-only-token",
+        "max_bot_username": "test_bot",
+        "max_webhook_secret": "test-only-secret-" * 3,
+        "max_webhook_url": "https://api.example.org/api/v1/webhooks/max",
+        "max_site_url": "https://patient.example.org/#/today",
+    }
+    return Settings(_env_file=None, **(fields | overrides))
+
+
+def test_max_disabled_by_default():
+    assert not Settings(_env_file=None).max_enabled
+
+
+def test_max_secrets_are_redacted():
+    settings = configured()
+    assert "test-only-token" not in repr(settings)
+    assert "test-only-secret" not in repr(settings)
+
+
+@pytest.mark.parametrize(
+    "overrides",
+    [
+        {"max_bot_token": ""},
+        {"max_bot_username": "@test_bot"},
+        {"max_webhook_secret": "short"},
+        {"max_site_url": "http://patient.example.org"},
+        {"max_webhook_url": "http://api.example.org"},
+        {"max_webhook_url": "https://api.example.org:8443/hook"},
+        {"max_webhook_url": "https://user:password@api.example.org/hook"},
+        {"max_webhook_url": "https://api.example.org/hook#fragment"},
+        {"max_site_url": "https://patient.example.org?token=credential"},
+    ],
+)
+def test_max_rejects_incomplete_or_unsafe_settings(overrides):
+    with pytest.raises(ValidationError):
+        configured(**overrides)

tests/test_llm_agent.py

@@ -197,3 +197,75 @@ async def test_empty_final_answer_is_nudged(sertraline):
     assert ans is not None and "Алкоголь" in ans.text
     assert sent[0]["tool_choice"] == "required" and "tool_choice" not in sent[1]
     assert "сертралин" in sent[0]["messages"][0]["content"]  # patient brief in the system prompt
+
+
+async def test_region_block_string_error_degrades():
+    # Seen live from the RF server: 403 {"success": false, "error": "Access denied by security policy."}
+    client = httpx.AsyncClient(
+        transport=httpx.MockTransport(lambda r: httpx.Response(403, json={"success": False, "error": "Access denied"}))
+    )
+    provider = OpenRouterProvider(_settings(), client=client)
+    assert await agent.answer_chat(ANDREY, scrub("вопрос"), provider=provider, settings=_settings()) is None
+
+
+async def test_unexpected_provider_bug_degrades():
+    class Broken:
+        name = "broken"
+
+        async def chat(self, messages, tools):
+            raise AttributeError("boom")
+
+    assert await agent.answer_chat(ANDREY, scrub("вопрос"), provider=Broken(), settings=_settings()) is None
+
+
+# ------------------------------------------------------------------------------------------------- gigachat
+
+
+class _FakeGiga:
+    """Mimics gigachat.GigaChat.achat: first a function_call, then the final text."""
+
+    def __init__(self):
+        self.chats = []
+
+    async def achat(self, chat):
+        from types import SimpleNamespace as NS
+
+        self.chats.append(chat)
+        if len(self.chats) == 1:
+            fc = NS(name="check_drug_for_patient", arguments={"drug": "ибупрофен"})
+            msg = NS(content="", function_call=fc)
+        else:
+            msg = NS(
+                content="Ибупрофен вместе с сертралином повышает риск кровотечений. Обсудите с врачом.",
+                function_call=None,
+            )
+        return NS(choices=[NS(message=msg)], usage=NS(total_tokens=42))
+
+
+async def test_gigachat_tool_loop(sertraline):
+    from app.llm.agent.providers import GigaChatToolProvider
+
+    fake = _FakeGiga()
+    s = Settings(_env_file=None, chat_agent="gigachat", gigachat_credentials="x", chat_agent_timeout_s=5.0)
+    ans = await agent.answer_chat(
+        ANDREY, scrub("Можно ибупрофен?"), provider=GigaChatToolProvider(s, client=fake), settings=s
+    )
+    assert ans is not None and "кровотеч" in ans.text and ans.provider == "gigachat"
+    second = fake.chats[1]
+    roles = [str(m.role.value if hasattr(m.role, "value") else m.role) for m in second.messages]
+    assert roles == ["system", "user", "assistant", "function"]
+    assert second.messages[2].function_call.name == "check_drug_for_patient"
+    assert second.messages[3].name == "check_drug_for_patient"
+    assert {f.name for f in second.functions} == {
+        "search_guidelines",
+        "get_patient_record",
+        "get_drug_info",
+        "check_drug_for_patient",
+    }
+
+
+def test_build_provider_prefers_gigachat():
+    from app.llm.agent.providers import GigaChatToolProvider
+
+    s = Settings(_env_file=None, chat_agent="auto", gigachat_credentials="x", openrouter_api_key="y")
+    assert isinstance(agent.build_provider(s), GigaChatToolProvider)