mirror of
https://github.com/bytedance/deer-flow.git
synced 2026-04-25 11:18:22 +00:00
df63c104a7
- Replaced `fetchWithAuth` with a generic `fetch` function across various API modules for consistency. - Updated `useThreadStream` and `useThreadHistory` hooks to manage chat history loading, including loading states and pagination. - Introduced `LoadMoreHistoryIndicator` component for better user experience when loading more chat history. - Enhanced message handling in `MessageList` to accommodate new loading states and history management. - Added support for run messages in the thread context, improving the overall message handling logic. - Updated translations for loading indicators in English and Chinese.
378 lines
15 KiB
Python
378 lines
15 KiB
Python
"""Runs endpoints — create, stream, wait, cancel.
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Implements the LangGraph Platform runs API on top of
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:class:`deerflow.agents.runs.RunManager` and
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:class:`deerflow.agents.stream_bridge.StreamBridge`.
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SSE format is aligned with the LangGraph Platform protocol so that
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the ``useStream`` React hook from ``@langchain/langgraph-sdk/react``
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works without modification.
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"""
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from __future__ import annotations
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import asyncio
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import logging
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from typing import Any, Literal
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from fastapi import APIRouter, HTTPException, Query, Request
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from fastapi.responses import Response, StreamingResponse
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from pydantic import BaseModel, Field
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from app.gateway.authz import require_permission
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from app.gateway.deps import get_checkpointer, get_current_user, get_feedback_repo, get_run_event_store, get_run_manager, get_run_store, get_stream_bridge
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from app.gateway.services import sse_consumer, start_run
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from deerflow.runtime import RunRecord, serialize_channel_values
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logger = logging.getLogger(__name__)
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router = APIRouter(prefix="/api/threads", tags=["runs"])
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# ---------------------------------------------------------------------------
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# Request / response models
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# ---------------------------------------------------------------------------
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class RunCreateRequest(BaseModel):
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assistant_id: str | None = Field(default=None, description="Agent / assistant to use")
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input: dict[str, Any] | None = Field(default=None, description="Graph input (e.g. {messages: [...]})")
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command: dict[str, Any] | None = Field(default=None, description="LangGraph Command")
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metadata: dict[str, Any] | None = Field(default=None, description="Run metadata")
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config: dict[str, Any] | None = Field(default=None, description="RunnableConfig overrides")
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context: dict[str, Any] | None = Field(default=None, description="DeerFlow context overrides (model_name, thinking_enabled, etc.)")
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webhook: str | None = Field(default=None, description="Completion callback URL")
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checkpoint_id: str | None = Field(default=None, description="Resume from checkpoint")
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checkpoint: dict[str, Any] | None = Field(default=None, description="Full checkpoint object")
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interrupt_before: list[str] | Literal["*"] | None = Field(default=None, description="Nodes to interrupt before")
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interrupt_after: list[str] | Literal["*"] | None = Field(default=None, description="Nodes to interrupt after")
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stream_mode: list[str] | str | None = Field(default=None, description="Stream mode(s)")
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stream_subgraphs: bool = Field(default=False, description="Include subgraph events")
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stream_resumable: bool | None = Field(default=None, description="SSE resumable mode")
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on_disconnect: Literal["cancel", "continue"] = Field(default="cancel", description="Behaviour on SSE disconnect")
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on_completion: Literal["delete", "keep"] = Field(default="keep", description="Delete temp thread on completion")
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multitask_strategy: Literal["reject", "rollback", "interrupt", "enqueue"] = Field(default="reject", description="Concurrency strategy")
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after_seconds: float | None = Field(default=None, description="Delayed execution")
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if_not_exists: Literal["reject", "create"] = Field(default="create", description="Thread creation policy")
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feedback_keys: list[str] | None = Field(default=None, description="LangSmith feedback keys")
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class RunResponse(BaseModel):
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run_id: str
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thread_id: str
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assistant_id: str | None = None
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status: str
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metadata: dict[str, Any] = Field(default_factory=dict)
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kwargs: dict[str, Any] = Field(default_factory=dict)
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multitask_strategy: str = "reject"
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created_at: str = ""
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updated_at: str = ""
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# ---------------------------------------------------------------------------
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# Helpers
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# ---------------------------------------------------------------------------
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def _record_to_response(record: RunRecord) -> RunResponse:
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return RunResponse(
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run_id=record.run_id,
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thread_id=record.thread_id,
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assistant_id=record.assistant_id,
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status=record.status.value,
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metadata=record.metadata,
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kwargs=record.kwargs,
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multitask_strategy=record.multitask_strategy,
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created_at=record.created_at,
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updated_at=record.updated_at,
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)
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# ---------------------------------------------------------------------------
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# Endpoints
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# ---------------------------------------------------------------------------
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@router.post("/{thread_id}/runs", response_model=RunResponse)
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@require_permission("runs", "create", owner_check=True, require_existing=True)
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async def create_run(thread_id: str, body: RunCreateRequest, request: Request) -> RunResponse:
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"""Create a background run (returns immediately)."""
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record = await start_run(body, thread_id, request)
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return _record_to_response(record)
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@router.post("/{thread_id}/runs/stream")
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@require_permission("runs", "create", owner_check=True, require_existing=True)
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async def stream_run(thread_id: str, body: RunCreateRequest, request: Request) -> StreamingResponse:
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"""Create a run and stream events via SSE.
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The response includes a ``Content-Location`` header with the run's
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resource URL, matching the LangGraph Platform protocol. The
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``useStream`` React hook uses this to extract run metadata.
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"""
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bridge = get_stream_bridge(request)
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run_mgr = get_run_manager(request)
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record = await start_run(body, thread_id, request)
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return StreamingResponse(
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sse_consumer(bridge, record, request, run_mgr),
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media_type="text/event-stream",
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headers={
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"Cache-Control": "no-cache",
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"Connection": "keep-alive",
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"X-Accel-Buffering": "no",
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# LangGraph Platform includes run metadata in this header.
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# The SDK uses a greedy regex to extract the run id from this path,
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# so it must point at the canonical run resource without extra suffixes.
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"Content-Location": f"/api/threads/{thread_id}/runs/{record.run_id}",
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},
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)
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@router.post("/{thread_id}/runs/wait", response_model=dict)
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@require_permission("runs", "create", owner_check=True, require_existing=True)
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async def wait_run(thread_id: str, body: RunCreateRequest, request: Request) -> dict:
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"""Create a run and block until it completes, returning the final state."""
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record = await start_run(body, thread_id, request)
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if record.task is not None:
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try:
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await record.task
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except asyncio.CancelledError:
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pass
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checkpointer = get_checkpointer(request)
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config = {"configurable": {"thread_id": thread_id}}
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try:
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checkpoint_tuple = await checkpointer.aget_tuple(config)
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if checkpoint_tuple is not None:
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checkpoint = getattr(checkpoint_tuple, "checkpoint", {}) or {}
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channel_values = checkpoint.get("channel_values", {})
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return serialize_channel_values(channel_values)
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except Exception:
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logger.exception("Failed to fetch final state for run %s", record.run_id)
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return {"status": record.status.value, "error": record.error}
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@router.get("/{thread_id}/runs", response_model=list[RunResponse])
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@require_permission("runs", "read", owner_check=True)
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async def list_runs(thread_id: str, request: Request) -> list[RunResponse]:
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"""List all runs for a thread."""
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run_mgr = get_run_manager(request)
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records = await run_mgr.list_by_thread(thread_id)
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return [_record_to_response(r) for r in records]
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@router.get("/{thread_id}/runs/{run_id}", response_model=RunResponse)
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@require_permission("runs", "read", owner_check=True)
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async def get_run(thread_id: str, run_id: str, request: Request) -> RunResponse:
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"""Get details of a specific run."""
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run_mgr = get_run_manager(request)
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record = run_mgr.get(run_id)
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if record is None or record.thread_id != thread_id:
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raise HTTPException(status_code=404, detail=f"Run {run_id} not found")
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return _record_to_response(record)
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@router.post("/{thread_id}/runs/{run_id}/cancel")
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@require_permission("runs", "cancel", owner_check=True, require_existing=True)
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async def cancel_run(
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thread_id: str,
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run_id: str,
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request: Request,
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wait: bool = Query(default=False, description="Block until run completes after cancel"),
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action: Literal["interrupt", "rollback"] = Query(default="interrupt", description="Cancel action"),
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) -> Response:
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"""Cancel a running or pending run.
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- action=interrupt: Stop execution, keep current checkpoint (can be resumed)
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- action=rollback: Stop execution, revert to pre-run checkpoint state
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- wait=true: Block until the run fully stops, return 204
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- wait=false: Return immediately with 202
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"""
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run_mgr = get_run_manager(request)
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record = run_mgr.get(run_id)
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if record is None or record.thread_id != thread_id:
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raise HTTPException(status_code=404, detail=f"Run {run_id} not found")
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cancelled = await run_mgr.cancel(run_id, action=action)
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if not cancelled:
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raise HTTPException(
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status_code=409,
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detail=f"Run {run_id} is not cancellable (status: {record.status.value})",
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)
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if wait and record.task is not None:
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try:
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await record.task
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except asyncio.CancelledError:
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pass
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return Response(status_code=204)
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return Response(status_code=202)
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@router.get("/{thread_id}/runs/{run_id}/join")
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@require_permission("runs", "read", owner_check=True)
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async def join_run(thread_id: str, run_id: str, request: Request) -> StreamingResponse:
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"""Join an existing run's SSE stream."""
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bridge = get_stream_bridge(request)
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run_mgr = get_run_manager(request)
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record = run_mgr.get(run_id)
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if record is None or record.thread_id != thread_id:
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raise HTTPException(status_code=404, detail=f"Run {run_id} not found")
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return StreamingResponse(
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sse_consumer(bridge, record, request, run_mgr),
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media_type="text/event-stream",
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headers={
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"Cache-Control": "no-cache",
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"Connection": "keep-alive",
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"X-Accel-Buffering": "no",
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},
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)
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@router.api_route("/{thread_id}/runs/{run_id}/stream", methods=["GET", "POST"], response_model=None)
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@require_permission("runs", "read", owner_check=True)
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async def stream_existing_run(
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thread_id: str,
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run_id: str,
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request: Request,
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action: Literal["interrupt", "rollback"] | None = Query(default=None, description="Cancel action"),
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wait: int = Query(default=0, description="Block until cancelled (1) or return immediately (0)"),
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):
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"""Join an existing run's SSE stream (GET), or cancel-then-stream (POST).
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The LangGraph SDK's ``joinStream`` and ``useStream`` stop button both use
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``POST`` to this endpoint. When ``action=interrupt`` or ``action=rollback``
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is present the run is cancelled first; the response then streams any
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remaining buffered events so the client observes a clean shutdown.
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"""
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run_mgr = get_run_manager(request)
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record = run_mgr.get(run_id)
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if record is None or record.thread_id != thread_id:
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raise HTTPException(status_code=404, detail=f"Run {run_id} not found")
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# Cancel if an action was requested (stop-button / interrupt flow)
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if action is not None:
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cancelled = await run_mgr.cancel(run_id, action=action)
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if cancelled and wait and record.task is not None:
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try:
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await record.task
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except (asyncio.CancelledError, Exception):
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pass
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return Response(status_code=204)
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bridge = get_stream_bridge(request)
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return StreamingResponse(
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sse_consumer(bridge, record, request, run_mgr),
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media_type="text/event-stream",
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headers={
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"Cache-Control": "no-cache",
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"Connection": "keep-alive",
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"X-Accel-Buffering": "no",
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},
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)
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# ---------------------------------------------------------------------------
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# Messages / Events / Token usage endpoints
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# ---------------------------------------------------------------------------
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@router.get("/{thread_id}/messages")
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@require_permission("runs", "read", owner_check=True)
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async def list_thread_messages(
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thread_id: str,
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request: Request,
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limit: int = Query(default=50, le=200),
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before_seq: int | None = Query(default=None),
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after_seq: int | None = Query(default=None),
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) -> list[dict]:
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"""Return displayable messages for a thread (across all runs), with feedback attached."""
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event_store = get_run_event_store(request)
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messages = await event_store.list_messages(thread_id, limit=limit, before_seq=before_seq, after_seq=after_seq)
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# Attach feedback to the last AI message of each run
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feedback_repo = get_feedback_repo(request)
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user_id = await get_current_user(request)
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feedback_map = await feedback_repo.list_by_thread_grouped(thread_id, user_id=user_id)
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# Find the last ai_message per run_id
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last_ai_per_run: dict[str, int] = {} # run_id -> index in messages list
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for i, msg in enumerate(messages):
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if msg.get("event_type") == "ai_message":
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last_ai_per_run[msg["run_id"]] = i
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# Attach feedback field
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last_ai_indices = set(last_ai_per_run.values())
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for i, msg in enumerate(messages):
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if i in last_ai_indices:
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run_id = msg["run_id"]
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fb = feedback_map.get(run_id)
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msg["feedback"] = (
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{
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"feedback_id": fb["feedback_id"],
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"rating": fb["rating"],
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"comment": fb.get("comment"),
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}
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if fb
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else None
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)
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else:
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msg["feedback"] = None
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return messages
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@router.get("/{thread_id}/runs/{run_id}/messages")
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@require_permission("runs", "read", owner_check=True)
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async def list_run_messages(
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thread_id: str,
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run_id: str,
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request: Request,
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limit: int = Query(default=50, le=200, ge=1),
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before_seq: int | None = Query(default=None),
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after_seq: int | None = Query(default=None),
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) -> dict:
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"""Return paginated messages for a specific run.
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Response: { data: [...], has_more: bool }
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"""
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event_store = get_run_event_store(request)
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rows = await event_store.list_messages_by_run(
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thread_id,
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run_id,
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limit=limit + 1,
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before_seq=before_seq,
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after_seq=after_seq,
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)
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has_more = len(rows) > limit
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data = rows[:limit] if has_more else rows
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return {"data": data, "has_more": has_more}
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@router.get("/{thread_id}/runs/{run_id}/events")
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@require_permission("runs", "read", owner_check=True)
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async def list_run_events(
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thread_id: str,
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run_id: str,
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request: Request,
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event_types: str | None = Query(default=None),
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limit: int = Query(default=500, le=2000),
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) -> list[dict]:
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"""Return the full event stream for a run (debug/audit)."""
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event_store = get_run_event_store(request)
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types = event_types.split(",") if event_types else None
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return await event_store.list_events(thread_id, run_id, event_types=types, limit=limit)
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@router.get("/{thread_id}/token-usage")
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@require_permission("threads", "read", owner_check=True)
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async def thread_token_usage(thread_id: str, request: Request) -> dict:
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"""Thread-level token usage aggregation."""
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run_store = get_run_store(request)
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agg = await run_store.aggregate_tokens_by_thread(thread_id)
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return {"thread_id": thread_id, **agg}
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