feat(agent): агент логов — фильтр, LLM-страж, планировщик grep (#18)

- prefilter: правила из config/agent_rules.yaml (длина, команды, shell,
  секреты и системные файлы, prompt injection) — без LLM
- guard: отдельный вызов, JSON {verdict, reason}; невалидный ответ = attack,
  недоступный LLM — «попробуйте позже», а не атака
- planner: только AgentLogQuery (контейнер из белого списка, ≤ 7 д, шаблон
  ≤ 200 без вложенных квантификаторов, лимит ≤ 500); логи в LLM не идут
- бот: «🤖 Спросить агента» → показывает построенный grep и строки;
  атака — вежливый отказ и 🛡 администраторам; квота 30 в сутки
- журнал agent_requests + log_queries (mode=agent)
- при LLM_PROVIDER=mock агент выключен

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

app/agent/__init__.py

@@ -0,0 +1,4 @@
+"""Log agent: prefilter → LLM guard → LLM planner → validation → grep (ARCHITECTURE §2.8, ADR-007, ADR-013).
+
+Logs never reach the LLM: the planner sees only the user's question and the container names.
+"""

app/agent/guard.py

@@ -0,0 +1,38 @@
+"""Step 2 (SPEC L-11): a separate, narrow LLM call — is the question an attack? Anything but a valid `safe` is one."""
+
+from dataclasses import dataclass
+
+from app.db.models import Verdict
+from app.llm.provider import ChatMessage, JsonSchema, LLMProvider
+
+SCHEMA = JsonSchema(
+    name="guard_verdict",
+    schema={
+        "type": "object",
+        "additionalProperties": False,
+        "required": ["verdict", "reason"],
+        "properties": {
+            "verdict": {"type": "string", "enum": ["safe", "attack"]},
+            "reason": {"type": "string"},
+        },
+    },
+)
+
+INVALID = "страж вернул не JSON по схеме"
+
+
+@dataclass(frozen=True)
+class GuardVerdict:
+    verdict: Verdict
+    reason: str
+    tokens: int
+
+
+async def classify(llm: LLMProvider, system_prompt: str, prompt: str) -> GuardVerdict:
+    """LLMError propagates: an unreachable model is «try later», not an attack."""
+    result = await llm.complete([ChatMessage("system", system_prompt), ChatMessage("user", prompt)], SCHEMA)
+    data = result.data or {}
+    verdict, reason = data.get("verdict"), data.get("reason")
+    if verdict not in ("safe", "attack") or not isinstance(reason, str):
+        return GuardVerdict(Verdict.ATTACK, INVALID, result.tokens)
+    return GuardVerdict(Verdict(verdict), reason[:300], result.tokens)

app/agent/log_query.py

@@ -0,0 +1,86 @@
+"""Step 4 (SPEC L-13, L-14): the only thing the planner may produce, and its validation.
+
+Even if the guard is fooled, the worst a planner reply can do is a slow grep over a managed container's logs.
+"""
+
+from typing import Any
+
+import regex
+from pydantic import BaseModel, ConfigDict, Field, ValidationInfo, field_validator
+
+from app.logs.grep import MAX_PATTERN, GrepQuery
+
+MAX_MINUTES = 7 * 24 * 60
+
+# Nested quantifiers and quantified alternations — the classic catastrophic-backtracking shapes: (a+)+, (a|aa)*
+_NESTED = regex.compile(r"\((?:[^()\\]|\\.)*[+*}](?:[^()\\]|\\.)*\)\s*[+*{]")
+_ALT_REPEAT = regex.compile(r"\((?:[^()\\]|\\.)*\|(?:[^()\\]|\\.)*\)\s*[+*{]")
+
+
+def risky_backtracking(pattern: str) -> bool:
+    return bool(_NESTED.search(pattern) or _ALT_REPEAT.search(pattern))
+
+
+class AgentLogQuery(BaseModel):
+    """Validated with `context={"containers": [...]}` — the whitelist of names."""
+
+    model_config = ConfigDict(extra="forbid", frozen=True)
+
+    container: str
+    since_minutes: int = Field(ge=1, le=MAX_MINUTES)
+    pattern: str = Field(min_length=1, max_length=MAX_PATTERN)
+    ignore_case: bool = True
+    invert: bool = False
+    count_only: bool = False
+    context: int = Field(default=0, ge=0, le=5)
+    limit: int = Field(default=100, ge=1, le=500)
+
+    @field_validator("container")
+    @classmethod
+    def _whitelisted(cls, value: str, info: ValidationInfo) -> str:
+        allowed = (info.context or {}).get("containers", [])
+        if value not in allowed:
+            raise ValueError("container is not in the list")
+        return value
+
+    @field_validator("pattern")
+    @classmethod
+    def _safe_regex(cls, value: str) -> str:
+        try:
+            regex.compile(value)
+        except regex.error as e:
+            raise ValueError(f"pattern does not compile: {e}") from e
+        if risky_backtracking(value):
+            raise ValueError("pattern may backtrack catastrophically")
+        return value
+
+    def to_grep(self) -> GrepQuery:
+        return GrepQuery(
+            pattern=self.pattern,
+            ignore_case=self.ignore_case,
+            invert=self.invert,
+            extended=True,
+            count=self.count_only,
+            context=self.context,
+        )
+
+
+def json_schema() -> dict[str, Any]:
+    """Strict structured-output schema for the planner: every field required, no extras.
+    Bounds are left to the pydantic model — strict mode of several providers rejects minimum/maxLength."""
+    types = {
+        "container": "string",
+        "since_minutes": "integer",
+        "pattern": "string",
+        "ignore_case": "boolean",
+        "invert": "boolean",
+        "count_only": "boolean",
+        "context": "integer",
+        "limit": "integer",
+    }
+    return {
+        "type": "object",
+        "additionalProperties": False,
+        "required": list(types),
+        "properties": {name: {"type": kind} for name, kind in types.items()},
+    }

app/agent/planner.py

@@ -0,0 +1,45 @@
+"""Step 3 (SPEC L-13, L-16): the LLM turns the question into an `AgentLogQuery`. It never sees the logs."""
+
+from dataclasses import dataclass
+from datetime import datetime
+
+from pydantic import ValidationError
+
+from app.agent.log_query import AgentLogQuery, json_schema
+from app.llm.provider import ChatMessage, JsonSchema, LLMProvider
+
+SCHEMA = JsonSchema(name="log_query", schema=json_schema())
+
+
+@dataclass(frozen=True)
+class Plan:
+    query: AgentLogQuery | None  # None — the reply didn't pass validation
+    error: str
+    tokens: int
+
+
+def system_prompt(template: str, containers: list[str], default: str, now: datetime) -> str:
+    # str.replace, not format: the template contains JSON braces
+    return (
+        template.replace("{containers}", ", ".join(containers))
+        .replace("{default}", default)
+        .replace("{now}", now.strftime("%Y-%m-%d %H:%M"))
+    )
+
+
+async def plan(
+    llm: LLMProvider, template: str, prompt: str, containers: list[str], default: str, now: datetime
+) -> Plan:
+    messages = [ChatMessage("system", system_prompt(template, containers, default, now)), ChatMessage("user", prompt)]
+    result = await llm.complete(messages, SCHEMA)
+    if result.data is None:
+        return Plan(None, "not JSON", result.tokens)
+    try:
+        query = AgentLogQuery.model_validate(result.data, context={"containers": containers})
+    except ValidationError as e:
+        return Plan(
+            None,
+            "; ".join(f"{'.'.join(map(str, err['loc']))}: {err['msg']}" for err in e.errors())[:300],
+            result.tokens,
+        )
+    return Plan(query, "", result.tokens)

app/agent/prefilter.py

@@ -0,0 +1,53 @@
+"""Step 1 (SPEC L-10): deterministic rules from `config/agent_rules.yaml`, before any LLM call."""
+
+from pathlib import Path
+
+import regex
+import yaml
+from pydantic import BaseModel, ConfigDict, Field, field_validator
+
+
+class Rule(BaseModel):
+    model_config = ConfigDict(extra="forbid", frozen=True)
+
+    reason: str
+    pattern: str
+
+    @field_validator("pattern")
+    @classmethod
+    def _compiles(cls, value: str) -> str:
+        try:
+            regex.compile(value)
+        except regex.error as e:
+            raise ValueError(f"bad pattern: {e}") from e
+        return value
+
+
+class AgentRules(BaseModel):
+    model_config = ConfigDict(extra="forbid", frozen=True)
+
+    max_length: int = Field(default=500, gt=0)
+    rules: list[Rule]
+
+
+def load_rules(config_dir: Path) -> AgentRules:
+    with (config_dir / "agent_rules.yaml").open(encoding="utf-8") as f:
+        return AgentRules.model_validate(yaml.safe_load(f))
+
+
+TOO_LONG = "слишком длинный запрос"
+
+
+class Prefilter:
+    def __init__(self, rules: AgentRules) -> None:
+        self._max = rules.max_length
+        self._rules = [(r.reason, regex.compile(r.pattern, regex.IGNORECASE)) for r in rules.rules]
+
+    def check(self, prompt: str) -> str | None:
+        """The reason to refuse, or None when the prompt may go on to the guard."""
+        if len(prompt) > self._max:
+            return TOO_LONG
+        for reason, pattern in self._rules:
+            if pattern.search(prompt, timeout=0.1):
+                return reason
+        return None

app/agent/service.py

@@ -0,0 +1,120 @@
+"""The agent pipeline end to end, with the daily quota and the `agent_requests` journal (SPEC L-10…L-17)."""
+
+import logging
+from dataclasses import dataclass
+from datetime import datetime, timedelta
+from enum import StrEnum
+from pathlib import Path
+
+from sqlalchemy import func, select
+
+from app.agent import guard, planner
+from app.agent.log_query import AgentLogQuery
+from app.agent.prefilter import Prefilter, load_rules
+from app.db.models import AgentRequest, Verdict, utcnow
+from app.db.session import SessionMaker
+from app.llm.provider import LLMError, LLMProvider
+
+log = logging.getLogger(__name__)
+
+DAILY_QUOTA = 30  # L-17
+
+
+class Outcome(StrEnum):
+    OK = "ok"
+    ATTACK = "attack"  # prefilter or guard: refuse politely, alert the admins
+    QUOTA = "quota"
+    UNAVAILABLE = "unavailable"  # the LLM is down
+    NOT_UNDERSTOOD = "not_understood"  # the planner's reply failed validation
+
+
+@dataclass(frozen=True)
+class Answer:
+    outcome: Outcome
+    query: AgentLogQuery | None = None
+    reason: str = ""  # for the admins' alert and the journal; never shown to the asker
+    stage: str = ""  # prefilter | guard
+
+
+@dataclass(frozen=True)
+class Prompts:
+    guard: str
+    planner: str
+
+
+def load_prompts(config_dir: Path) -> Prompts:
+    d = config_dir / "prompts"
+    return Prompts(
+        guard=(d / "guard.md").read_text(encoding="utf-8"), planner=(d / "planner.md").read_text(encoding="utf-8")
+    )
+
+
+class Agent:
+    def __init__(
+        self, llm: LLMProvider, sessions: SessionMaker, prefilter: Prefilter, prompts: Prompts, quota: int = DAILY_QUOTA
+    ) -> None:
+        self._llm = llm
+        self._sessions = sessions
+        self._prefilter = prefilter
+        self._prompts = prompts
+        self.quota = quota
+
+    @classmethod
+    def from_config(cls, llm: LLMProvider, sessions: SessionMaker, config_dir: Path) -> "Agent":
+        return cls(llm, sessions, Prefilter(load_rules(config_dir)), load_prompts(config_dir))
+
+    async def used_today(self, user_id: int, now: datetime) -> int:
+        async with self._sessions() as session:
+            count = await session.scalar(
+                select(func.count())
+                .select_from(AgentRequest)
+                .where(AgentRequest.user_id == user_id, AgentRequest.at >= now - timedelta(days=1))
+            )
+        return int(count or 0)
+
+    async def ask(self, user_id: int, prompt: str, containers: list[str], default: str) -> Answer:
+        now = utcnow()
+        prompt = prompt.strip()
+        if await self.used_today(user_id, now) >= self.quota:
+            return Answer(Outcome.QUOTA)
+
+        reason = self._prefilter.check(prompt)
+        if reason is not None:
+            await self._journal(user_id, prompt, Verdict.ATTACK, f"prefilter: {reason}", None, 0)
+            return Answer(Outcome.ATTACK, reason=reason, stage="prefilter")
+
+        tokens = 0
+        try:
+            verdict = await guard.classify(self._llm, self._prompts.guard, prompt)
+            tokens += verdict.tokens
+            if verdict.verdict is not Verdict.SAFE:
+                await self._journal(user_id, prompt, Verdict.ATTACK, f"guard: {verdict.reason}", None, tokens)
+                return Answer(Outcome.ATTACK, reason=verdict.reason, stage="guard")
+            result = await planner.plan(self._llm, self._prompts.planner, prompt, containers, default, now)
+            tokens += result.tokens
+        except LLMError as e:
+            log.warning("agent: llm unavailable: %s", e)
+            await self._journal(user_id, prompt, Verdict.ERROR, f"llm: {str(e)[:200]}", None, tokens)
+            return Answer(Outcome.UNAVAILABLE)
+
+        if result.query is None:
+            await self._journal(user_id, prompt, Verdict.ERROR, f"planner: {result.error}", None, tokens)
+            return Answer(Outcome.NOT_UNDERSTOOD, reason=result.error)
+        await self._journal(user_id, prompt, Verdict.SAFE, None, result.query.model_dump(), tokens)
+        return Answer(Outcome.OK, query=result.query)
+
+    async def _journal(
+        self,
+        user_id: int,
+        prompt: str,
+        verdict: Verdict,
+        reason: str | None,
+        query: dict[str, object] | None,
+        tokens: int,
+    ) -> None:
+        async with self._sessions.begin() as session:
+            session.add(
+                AgentRequest(
+                    user_id=user_id, prompt=prompt, verdict=verdict, reason=reason, log_query=query, tokens=tokens
+                )
+            )

app/bot/routers/logs.py

@@ -1,4 +1,4 @@
-"""«📜 Логи»: pick a container, then its tail or your own grep (SPEC L-1…L-3, L-5, L-6). The agent is #18."""
+"""«📜 Логи»: pick a container, then its tail, your own grep or a question to the agent (SPEC L-1…L-6, L-10…L-17)."""
 
 import asyncio
 import html
@@ -6,16 +6,19 @@ import logging
 from datetime import timedelta
 from enum import StrEnum
 
-from aiogram import F, Router
+from aiogram import Bot, F, Router
 from aiogram.enums import ParseMode
+from aiogram.exceptions import TelegramAPIError
 from aiogram.filters.callback_data import CallbackData
 from aiogram.fsm.context import FSMContext
 from aiogram.fsm.state import State, StatesGroup
 from aiogram.types import BufferedInputFile, CallbackQuery, InlineKeyboardMarkup, Message
 from aiogram.utils.keyboard import InlineKeyboardBuilder
 
+from app.access.service import AccessService
+from app.agent.service import Agent, Outcome
 from app.bot.menu import Nav, NavAction, free_input
-from app.db.models import LogMode, User, utcnow
+from app.db.models import LogMode, Role, User, utcnow
 from app.logs.grep import GrepError, GrepErrorCode, GrepResult, parse_grep, run, to_command
 from app.logs.journal import LogJournal
 from app.runtime.docker import Container, DockerClient, DockerError
@@ -47,6 +50,7 @@ class LogsCb(CallbackData, prefix="lg"):
 
 class LogsFlow(StatesGroup):
     grep = State()
+    agent = State()
 
 
 def period(t: LogsTexts, minutes: int) -> str:
@@ -122,7 +126,28 @@ async def send_result(
     )
 
 
-def build_router(texts: Texts, docker: DockerClient | None, journal: LogJournal) -> Router:
+async def deliver(
+    msg: Message, texts: Texts, head: str, count_only: bool, result: GrepResult, kb: InlineKeyboardMarkup, name: str
+) -> None:
+    footer = notes(texts.logs, result)
+    if count_only:  # -c: the number in the header is the answer
+        tail = "".join(f"\n{html.escape(n)}" for n in footer)
+        await msg.answer(head + tail, parse_mode=ParseMode.HTML, reply_markup=kb)
+        return
+    await send_result(msg, texts, head, "\n".join(result.lines), footer, kb, f"{name}-grep.log")
+
+
+def who(user: User) -> str:
+    return f"{user.full_name}" + (f" @{user.username}" if user.username else "") + f" ({user.tg_id})"
+
+
+def build_router(
+    texts: Texts,
+    docker: DockerClient | None,
+    journal: LogJournal,
+    agent: Agent | None = None,
+    access: AccessService | None = None,
+) -> Router:
     router = Router(name="logs")
     t = texts.logs
 
@@ -131,6 +156,24 @@ def build_router(texts: Texts, docker: DockerClient | None, journal: LogJournal)
             raise DockerError("docker is not configured (DOCKER_URL)")
         return docker
 
+    async def alert_admins(bot: Bot, member: User, prompt: str, stage: str, reason: str) -> None:
+        """🛡 to the admins only (SPEC AL-2, L-12). The asker sees just a polite refusal."""
+        if access is None:
+            return
+        text = t.attack_alert.format(
+            who=html.escape(who(member)),
+            stage=stage,
+            reason=html.escape(reason),
+            prompt=html.escape(prompt[:1000]),
+        )
+        for admin in await access.list_members():
+            if admin.role is not Role.ADMIN:
+                continue
+            try:
+                await bot.send_message(admin.tg_id, text, parse_mode=ParseMode.HTML)
+            except TelegramAPIError as e:  # one blocked admin must not hide the alert from the others
+                log.warning("attack alert to %s failed: %s", admin.tg_id, e)
+
     @router.message(F.text == texts.menu.logs)
     async def open_logs(message: Message, state: FSMContext) -> None:
         await state.clear()
@@ -158,6 +201,8 @@ def build_router(texts: Texts, docker: DockerClient | None, journal: LogJournal)
                 return
             c = await d.get(callback_data.id)
             kb = container_keyboard(texts, c.short_id)
+            back = InlineKeyboardBuilder()
+            back.button(text=t.to_container, callback_data=LogsCb(a=LogsAct.OPEN, id=c.short_id))
             match callback_data.a:
                 case LogsAct.OPEN:
                     await state.clear()
@@ -180,16 +225,25 @@ def build_router(texts: Texts, docker: DockerClient | None, journal: LogJournal)
                 case LogsAct.GREP:
                     await state.set_state(LogsFlow.grep)
                     await state.update_data(logs_id=c.short_id)
-                    back = InlineKeyboardBuilder()
-                    back.button(text=t.to_container, callback_data=LogsCb(a=LogsAct.OPEN, id=c.short_id))
                     await msg.answer(
                         t.ask_grep.format(name=html.escape(c.name)),
                         parse_mode=ParseMode.HTML,
                         reply_markup=back.as_markup(),
                     )
                 case LogsAct.AGENT:
-                    await query.answer(t.agent_soon, show_alert=True)
-                    return
+                    if agent is None:
+                        await query.answer(t.agent_off, show_alert=True)
+                        return
+                    left = max(agent.quota - await agent.used_today(member.tg_id, utcnow()), 0)
+                    if left == 0:
+                        await query.answer(t.agent_quota.format(quota=agent.quota), show_alert=True)
+                        return
+                    await state.set_state(LogsFlow.agent)
+                    await state.update_data(logs_id=c.short_id)
+                    await msg.answer(
+                        t.agent_ask.format(name=html.escape(c.name), left=left, quota=agent.quota),
+                        reply_markup=back.as_markup(),
+                    )
         except DockerError as e:
             log.warning("logs: %s", e)
             await query.answer(t.unavailable, show_alert=True)
@@ -218,17 +272,61 @@ def build_router(texts: Texts, docker: DockerClient | None, journal: LogJournal)
         head = t.head_grep.format(
             command=html.escape(to_command(query)), name=html.escape(c.name), matched=result.matched
         )
-        body = "" if query.count else "\n".join(result.lines)
-        footer = notes(t, result)
-        if query.count:  # -c: the number in the header is the answer
-            await message.answer(
-                head + "".join(f"\n{html.escape(n)}" for n in footer),
-                parse_mode=ParseMode.HTML,
-                reply_markup=container_keyboard(texts, c.short_id),
-            )
+        await deliver(message, texts, head, query.count, result, container_keyboard(texts, c.short_id), c.name)
+
+    @router.message(LogsFlow.agent, F.text, free_input(texts))
+    async def got_question(message: Message, state: FSMContext, member: User, bot: Bot) -> None:
+        if agent is None:  # pragma: no cover - the button doesn't open this state without an agent
+            await state.clear()
             return
-        await send_result(
-            message, texts, head, body, footer, container_keyboard(texts, c.short_id), f"{c.name}-grep.log"
+        prompt = message.text or ""
+        data = await state.get_data()
+        await state.clear()
+        try:
+            d = need_docker()
+            current = await d.get(data.get("logs_id", ""))
+            containers = await d.containers()
+        except DockerError as e:
+            log.warning("logs: %s", e)
+            await message.answer(t.unavailable)
+            return
+        await message.answer(t.agent_thinking)
+        answer = await agent.ask(member.tg_id, prompt, [c.name for c in containers], current.name)
+        kb = container_keyboard(texts, current.short_id)
+        match answer.outcome:
+            case Outcome.ATTACK:
+                await message.answer(t.agent_refused, reply_markup=kb)
+                await alert_admins(bot, member, prompt, answer.stage, answer.reason)
+                return
+            case Outcome.QUOTA:
+                await message.answer(t.agent_quota.format(quota=agent.quota), reply_markup=kb)
+                return
+            case Outcome.UNAVAILABLE:
+                await message.answer(t.agent_unavailable, reply_markup=kb)
+                return
+            case Outcome.NOT_UNDERSTOOD:
+                await message.answer(t.agent_not_understood, reply_markup=kb)
+                return
+        q = answer.query
+        assert q is not None
+        target = next(c for c in containers if c.name == q.container)  # the validator allowed only these names
+        try:
+            text = await d.logs(target.id, since=utcnow() - timedelta(minutes=q.since_minutes))
+        except DockerError as e:
+            log.warning("logs: %s", e)
+            await message.answer(t.unavailable)
+            return
+        grep = q.to_grep()
+        result = await asyncio.to_thread(run, grep, text, q.limit)
+        await journal.record(member.tg_id, target.name, LogMode.AGENT, q.model_dump(), result.matched)
+        head = t.head_agent.format(
+            command=html.escape(to_command(grep)),
+            name=html.escape(target.name),
+            period=period(t, q.since_minutes),
+            matched=result.matched,
+        )
+        await deliver(
+            message, texts, head, q.count_only, result, container_keyboard(texts, target.short_id), target.name
         )
 
     return router

app/main.py

@@ -9,6 +9,7 @@ from aiogram.client.session.aiohttp import AiohttpSession
 
 from app import __version__
 from app.access.service import AccessService
+from app.agent.service import Agent
 from app.bot.fsm import make_storage
 from app.bot.middlewares.access import AccessMiddleware
 from app.bot.routers import commit, common, logs, members, status
@@ -17,6 +18,7 @@ from app.db.maintenance import cleanup_loop
 from app.db.migrate import upgrade
 from app.db.session import SessionMaker, make_engine, make_sessionmaker
 from app.health import heartbeat
+from app.llm.factory import make_provider
 from app.logs.journal import LogJournal
 from app.logs_setup import setup_logging
 from app.repo.drafts import DraftService
@@ -38,6 +40,7 @@ def build_dispatcher(
     commit_url_template: str = "",
     docker: DockerClient | None = None,
     checker: Checker | None = None,
+    agent: Agent | None = None,
 ) -> Dispatcher:
     dp = Dispatcher(storage=make_storage(sessions))
     gate = AccessMiddleware(access, texts)
@@ -49,7 +52,7 @@ def build_dispatcher(
         commit.build_router(texts, repo, DraftService(sessions), Publisher(repo, sessions), commit_url_template)
     )
     dp.include_router(status.build_router(texts, docker, checker))
-    dp.include_router(logs.build_router(texts, docker, LogJournal(sessions)))
+    dp.include_router(logs.build_router(texts, docker, LogJournal(sessions), agent, access))
     dp.include_router(common.build_router(texts, access))
     return dp
 
@@ -66,8 +69,11 @@ async def run(settings: Settings) -> None:
     docker = DockerClient(settings.docker) if settings.docker.url else None
     store = SnapshotStore(sessions)
     checker = Checker(docker, store, checks_cfg) if docker else None
+    # The mock provider answers `{}` to the guard — every question would be an «attack»: no real LLM, no agent
+    llm = make_provider(settings.llm) if settings.llm.provider != "mock" else None
+    agent = Agent.from_config(llm, sessions, settings.runtime.config_dir) if llm else None
     dp = build_dispatcher(
-        texts, sessions, access, UploadsRepo(settings.git), settings.git.commit_url_template, docker, checker
+        texts, sessions, access, UploadsRepo(settings.git), settings.git.commit_url_template, docker, checker, agent
     )
     rt = settings.runtime
     background = [
@@ -80,11 +86,12 @@ async def run(settings: Settings) -> None:
     session = AiohttpSession(proxy=proxy.get_secret_value()) if proxy else None
     bot = Bot(settings.telegram.bot_token.get_secret_value(), session=session)
     log.info(
-        "tgit %s starting, %d bootstrap admin(s), telegram %s, docker %s",
+        "tgit %s starting, %d bootstrap admin(s), telegram %s, docker %s, agent %s",
         __version__,
         len(settings.access.admin_ids),
         "via proxy" if proxy else "direct",
         "on" if docker else "off",
+        settings.llm.provider if agent else "off",
     )
     try:
         await dp.start_polling(bot, handle_signals=True)
@@ -99,6 +106,8 @@ async def run(settings: Settings) -> None:
             await docker.aclose()
         if checker:
             await checker.aclose()
+        if llm:
+            await llm.aclose()
         await engine.dispose()
         log.info("tgit stopped")
 

app/texts.py

@@ -162,7 +162,15 @@ class LogsTexts(_Strict):
     hours: str
     grep_button: str
     agent_button: str
-    agent_soon: str
+    agent_ask: str
+    agent_off: str
+    agent_thinking: str
+    agent_refused: str
+    agent_quota: str
+    agent_unavailable: str
+    agent_not_understood: str
+    head_agent: str
+    attack_alert: str
     to_list: str
     to_container: str
     ask_grep: str