refactor: 重命名 agent_chat 模块为 agent
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from __future__ import annotations
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from __future__ import annotations
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from typing import Annotated
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from fastapi import Depends
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from sqlalchemy.ext.asyncio import AsyncSession
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from core.auth.models import CurrentUser
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from core.db import get_db
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from v1.agent.service import AgentChatService
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from v1.profile.dependencies import get_current_user
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def get_agent_service(
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session: Annotated[AsyncSession, Depends(get_db)],
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user: Annotated[CurrentUser, Depends(get_current_user)],
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) -> AgentChatService:
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return AgentChatService(session=session, current_user=user)
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from __future__ import annotations
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from typing import Annotated
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from fastapi import APIRouter, Depends
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from v1.agent.dependencies import get_agent_service
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from v1.agent.schemas import AgentChatRunRequest, AgentChatRunResponse
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from v1.agent.service import AgentChatService
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router = APIRouter(prefix="/agent", tags=["agent"])
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@router.post("", response_model=AgentChatRunResponse)
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async def run_agent_chat(
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payload: AgentChatRunRequest,
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service: Annotated[AgentChatService, Depends(get_agent_service)],
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) -> AgentChatRunResponse:
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return await service.run(payload)
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from __future__ import annotations
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from uuid import UUID
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from pydantic import BaseModel, Field
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class AgentChatRunRequest(BaseModel):
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message: str = Field(min_length=1, max_length=8000)
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session_id: UUID | None = None
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class AgentChatEvent(BaseModel):
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type: str
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run_id: str | None = None
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message_id: str | None = None
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delta: str | None = None
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tool_name: str | None = None
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result: str | None = None
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output: str | None = None
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error: str | None = None
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class AgentChatRunResponse(BaseModel):
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session_id: UUID
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output: str
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events: list[AgentChatEvent]
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from __future__ import annotations
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from datetime import datetime, timezone
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from decimal import Decimal
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from typing import TYPE_CHECKING
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from uuid import UUID
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from fastapi import HTTPException
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from sqlalchemy import func, select
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from sqlalchemy.exc import SQLAlchemyError
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from core.agent.agui_adapter import AguiAdapter
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from core.agent.orchestrator import AgentChatOrchestrator
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from core.auth.models import CurrentUser
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from core.db.base_service import BaseService
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from core.logging import get_logger
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from models.agent_chat_message import AgentChatMessage, AgentChatMessageRole
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from models.agent_chat_session import AgentChatSession, AgentChatSessionStatus
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from v1.auth.rate_limit import enforce_rate_limit
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from v1.agent.schemas import (
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AgentChatEvent,
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AgentChatRunRequest,
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AgentChatRunResponse,
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)
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if TYPE_CHECKING:
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from sqlalchemy.ext.asyncio import AsyncSession
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logger = get_logger("v1.agent.service")
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def build_session_title(first_message: str, *, now: datetime) -> str:
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title = first_message.strip().replace("\n", " ")[:24]
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if not title:
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return now.strftime("新对话 %Y-%m-%d %H:%M")
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return title
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def aggregate_session_cost(costs: list[Decimal]) -> Decimal:
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total = Decimal("0")
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for cost in costs:
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if cost < 0:
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raise ValueError("cost must be non-negative")
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total += cost
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return total
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def select_recent_session(
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sessions: list[AgentChatSession],
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) -> AgentChatSession | None:
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if not sessions:
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return None
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return max(sessions, key=lambda item: item.last_activity_at)
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class AgentChatService(BaseService):
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_session: AsyncSession
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def __init__(self, session: AsyncSession, current_user: CurrentUser | None) -> None:
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super().__init__(current_user=current_user)
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self._session = session
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self._adapter = AguiAdapter()
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self._orchestrator = AgentChatOrchestrator(
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intent_stage=self._intent_stage,
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execution_stage=self._execution_stage,
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organization_stage=self._organization_stage,
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)
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async def run(self, payload: AgentChatRunRequest) -> AgentChatRunResponse:
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try:
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command = self._adapter.to_command(payload.model_dump(mode="python"))
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except ValueError as exc:
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raise HTTPException(status_code=422, detail=str(exc)) from exc
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user_id = self.require_user_id()
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await enforce_rate_limit(
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scope="agent_run",
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identifier=str(user_id),
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limit=60,
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window_seconds=60,
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)
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now = datetime.now(timezone.utc)
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try:
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chat_session = await self._resolve_session(
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session_id=command["session_id"],
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user_id=user_id,
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first_message=command["message"],
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now=now,
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)
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base_seq = await self._next_seq_base(chat_session.id)
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user_message = AgentChatMessage(
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session_id=chat_session.id,
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seq=base_seq + 1,
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role=AgentChatMessageRole.USER,
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content=command["message"],
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cost=Decimal("0"),
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)
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orchestrator_result = await self._orchestrator.run(
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run_id=str(chat_session.id),
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user_message=command["message"],
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)
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assistant_message = AgentChatMessage(
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session_id=chat_session.id,
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seq=base_seq + 2,
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role=AgentChatMessageRole.ASSISTANT,
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content=orchestrator_result.output,
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input_tokens=int(orchestrator_result.usage["input_tokens"]),
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output_tokens=int(orchestrator_result.usage["output_tokens"]),
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cost=Decimal(orchestrator_result.usage["cost"]),
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)
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self._session.add(user_message)
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self._session.add(assistant_message)
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chat_session.status = (
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AgentChatSessionStatus.FAILED
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if orchestrator_result.failed
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else AgentChatSessionStatus.COMPLETED
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)
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chat_session.last_activity_at = now
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chat_session.message_count = chat_session.message_count + 2
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chat_session.total_tokens = chat_session.total_tokens + int(
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orchestrator_result.usage["total_tokens"]
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)
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chat_session.total_cost = aggregate_session_cost(
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[
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Decimal(chat_session.total_cost),
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Decimal(orchestrator_result.usage["cost"]),
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]
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)
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await self._session.commit()
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await self._session.refresh(chat_session)
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await self._session.refresh(user_message)
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mapped_events = self._build_mapped_events(
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session_id=str(chat_session.id),
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message_id=str(user_message.id),
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user_message=command["message"],
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assistant_output=assistant_message.content,
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failed=orchestrator_result.failed,
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error=orchestrator_result.error,
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)
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events = [AgentChatEvent.model_validate(item) for item in mapped_events]
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if orchestrator_result.failed:
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raise HTTPException(
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status_code=502, detail="Agent orchestration failed"
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)
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return AgentChatRunResponse(
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session_id=chat_session.id,
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output=assistant_message.content,
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events=events,
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)
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except HTTPException:
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await self._session.rollback()
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raise
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except SQLAlchemyError:
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await self._session.rollback()
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logger.exception("Agent chat run failed")
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raise HTTPException(status_code=503, detail="Agent chat store unavailable")
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except Exception as exc: # noqa: BLE001
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await self._session.rollback()
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logger.exception(
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"Agent chat unexpected failure", error_type=type(exc).__name__
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)
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raise HTTPException(
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status_code=502, detail="Agent orchestration failed"
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) from exc
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def _build_mapped_events(
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self,
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*,
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session_id: str,
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message_id: str,
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user_message: str,
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assistant_output: str,
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failed: bool,
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error: str | None,
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) -> list[dict[str, object]]:
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mapped_events = [
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self._adapter.to_protocol_event(
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{
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"kind": "run_started",
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"session_id": session_id,
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}
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),
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self._adapter.to_protocol_event(
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{
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"kind": "message_delta",
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"message_id": message_id,
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"delta": user_message,
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}
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),
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]
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if failed:
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mapped_events.append(
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self._adapter.to_protocol_event(
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{
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"kind": "run_failed",
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"session_id": session_id,
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"error": error or "orchestration failed",
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}
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)
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)
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return mapped_events
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mapped_events.append(
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self._adapter.to_protocol_event(
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{
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"kind": "run_completed",
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"session_id": session_id,
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"output": assistant_output,
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}
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)
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)
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return mapped_events
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async def _resolve_session(
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self,
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*,
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session_id: object | None,
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user_id: UUID,
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first_message: str,
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now: datetime,
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) -> AgentChatSession:
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if session_id is not None:
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stmt = (
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select(AgentChatSession)
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.where(AgentChatSession.id == session_id)
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.where(AgentChatSession.user_id == user_id)
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.where(AgentChatSession.deleted_at.is_(None))
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.with_for_update()
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.limit(1)
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)
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result = await self._session.execute(stmt)
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existing = result.scalar_one_or_none()
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if existing is None:
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raise HTTPException(status_code=404, detail="Session not found")
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existing.status = AgentChatSessionStatus.RUNNING
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return existing
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title = build_session_title(first_message, now=now)
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created = AgentChatSession(
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user_id=user_id,
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title=title,
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status=AgentChatSessionStatus.RUNNING,
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last_activity_at=now,
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)
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self._session.add(created)
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await self._session.flush()
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return created
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async def _next_seq_base(self, session_id: object) -> int:
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stmt = select(func.max(AgentChatMessage.seq)).where(
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AgentChatMessage.session_id == session_id
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)
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result = await self._session.scalar(stmt)
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if result is None:
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return 0
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return int(result)
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async def _intent_stage(
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self, *, message: str, context: dict[str, object]
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) -> dict[str, object]:
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context["intent"] = "default"
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return {
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"content": message,
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"usage": {"input_tokens": 0, "output_tokens": 0, "cost": "0"},
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}
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async def _execution_stage(
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self, *, message: str, context: dict[str, object]
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) -> dict[str, object]:
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return {
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"content": message,
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"usage": {"input_tokens": 0, "output_tokens": 0, "cost": "0"},
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}
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async def _organization_stage(
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self, *, message: str, context: dict[str, object]
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) -> dict[str, object]:
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return {
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"content": message,
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"usage": {"input_tokens": 0, "output_tokens": 0, "cost": "0"},
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}
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