Skip to main content

langchain-agentx-stream-ui-backend

SSE 薄层 SDK:仅 UI 线 — 将 LangchainAgentEvent(经 SDK LangGraphToLangchainAgentEventAdapter 的 out-of-band / artifact 投影)序列化为前端 SSE 协议。

不暴露 LangGraph 原始 dict,也不向浏览器推送 ToolMessage.content(model 路径,仅供 LLM)。

快速接入

from fastapi import FastAPI, Request
from langchain_agentx_stream_ui_backend import stream_to_sse, wrap_langgraph

app = FastAPI()

@app.get("/wiki/build")
async def wiki_build(task_id: str, request: Request):
    graph = build_wiki_workflow(task_id)
    # adapter_config 可省略:wrap_langgraph 内置 DEFAULT_UI_ADAPTER_CONFIG
    events = wrap_langgraph(graph, {"task_id": task_id}, graph_name="WikiBuilder")
    return stream_to_sse(events, request=request, session_id=f"wiki-{task_id}")

测试组织(对齐 T10 金字塔)

层级 位置 说明
L0 单测 langchain_agentx_stream_ui_backend/test_*.pytests/test_*.py 函数/类级行为
L1 集成 tests/integration/ FastAPI 路由 + SSE / buffer / permission 全链路
冒烟 tests/smoke/ CI 快速回归(-m smoke,约 7 项)

examples/ 目录已合并为 tests/integration/sse/ 下的集成测试。

cd backend
python -m pip install -e ".[dev]"

# 单元测试(L0 + smoke + tests/test_*.py;默认 pytest 即此模式)
pytest -v
# 或
bash scripts/test-unit.sh

# 集成测试(L1;须单独跑,不与单测同进程)
bash scripts/test-integration.sh
# 或
pytest -o addopts= -m integration tests/integration/ -v

# 全量(串行两段,避免同进程加载 L0+L1 触发 teardown 问题)
bash scripts/test-unit.sh && bash scripts/test-integration.sh

# 冒烟(发布前 / CI 快速门禁)
pytest tests/smoke/ -v -m smoke

集成测试覆盖

模块 文件 覆盖点
Wiki / LangGraph test_wiki_workflow_integration.py wrap_langgraph + SSE
AgentSession test_agent_session_integration.py wrap_agent_session + SSE
EventBuffer test_buffer_multi_subscriber_integration.py 多订阅、断连不解 ingest
Last-Event-ID test_last_event_id_integration.py SSE id: 续传、400 校验
Middleware test_middleware_http_integration.py HTTP 路由级 middleware
Permission raise test_permission_raise_integration.py ingest 挂起 → POST 回写 → 继续
协议不变量 test_sse_protocol_integration.py meta 字段、bypass/raise 模式
断连 test_stream_disconnect_integration.py aclose 2 秒内触发

公开 API

  • stream_to_sse(events, *, request, session_id, ...)StreamingResponseSseStreamingService 门面)
  • stream_to_sse(..., assign_event_ids=True) — 形态 A 单连接内 SSE id 行(默认关闭,向后兼容)
  • stream_to_sse_from_buffer — 自动读取 Last-Event-ID 请求头并写入 SSE id: 行;可选 replay_modenone | resume | history)、late_observerallow | deny)、terminal_shortcutoff | done-shortcut),默认与现网一致
  • ReplayMode / LateObserver / TerminalShortcut / resolve_buffer_subscribe_plan — D31 buffer 回放策略(buffer_replay_policy
  • SseTransportProfile / VALID_PROFILES / resolve_buffer_sse_options — D32 四 preset → buffer SSE 参数 SSOT(replay_mode / late_observer / terminal_shortcut);profile=None 默认 workflow-tail(D36 P5;replayable-workflow deprecated 过渡)
  • LastEventIdValidator / TaggedAgentEvent — 续传校验与带 id 事件载荷
  • EventBuffer / ingest_stream_to_buffer — 长任务「POST 触发 ingest + GET 订阅」
  • stream_to_sse(..., middlewares=[]) — 序列化前可选事件管道(默认空链与 MVP 一致)
  • permission_mode="raise" + create_permission_raise_setup / PermissionWaitRegistry — SDK 权限挂起 → permission-request 事件(需 agentx ≥ 0.7.9)
  • EventMiddleware / EventMiddlewarePipeline / apply_middlewares — 脱敏、trace 注入、debug 过滤
  • wrap_langgraph(graph, input_data, ...)LangGraphEventStream(内置 DEFAULT_UI_ADAPTER_CONFIG
  • wrap_agent_session(session_stream, *, cancel=None)AgentSessionEventStreamcancel 为可选 SessionCancelHandle
  • safe_aclose_events / EventSourceLifecycle — 上游释放(断连 finally 使用)
  • DEFAULT_UI_ADAPTER_CONFIG / merge_ui_adapter_config() — UI 适配器默认(UiAdapterConfigMerger
  • PROTOCOL_VERSION — 当前为 "1"

AgentSession 取消语义

断连或 stream_to_sse 结束时,薄层在 finally 调用 events.aclose()。对 AgentSession 路径:

  1. 若传入 cancel=SessionCancelHandleaclose() 优先 await cancel.cancel()
  2. 否则回退 await session_stream.aclose()

推荐在业务侧传入显式 cancel,以便 SDK 升级时语义稳定:

events = wrap_agent_session(session.astream(question), cancel=session)
return stream_to_sse(events, request=request)

EventMiddleware 示例(tool-result 脱敏)

import dataclasses
from langchain_agentx.observability.events.langchain_agentx_event_adapter import (
    LangchainAgentEvent,
    LangchainAgentEventType,
)

def redact_tool_result(event: LangchainAgentEvent) -> LangchainAgentEvent | None:
    if event.event_type != LangchainAgentEventType.TOOL_RESULT:
        return event
    data = dict(event.data)
    data["content"] = "[REDACTED]"
    if isinstance(data.get("display"), dict):
        display = dict(data["display"])
        display["value"] = "[REDACTED]"
        data["display"] = display
    return dataclasses.replace(event, data=data)

return stream_to_sse(events, request=request, middlewares=[redact_tool_result])

middleware 返回 None 表示丢弃该事件;抛错则转为 thin_layer error 终态帧。

permission_mode="raise"(V2-D,特性开关)

默认 permission_mode="bypass" 与 MVP 一致。编码类场景可启用 raise,将 SDK PermissionPromptHandler 挂起转为 documented extension 事件 permission-request,等待业务回写后继续。

依赖langchain-agentx >= 0.7.9(L3 PermissionPromptHandler)。

from fastapi import FastAPI, HTTPException, Request
from langchain_agentx.loop.run_context import create_task_with_copied_context
from langchain_agentx_stream_ui_backend import (
    EventBuffer,
    PermissionWaitRegistry,
    create_permission_raise_setup,
    ingest_stream_to_buffer,
    stream_to_sse_from_buffer,
    wrap_langgraph,
)

app = FastAPI()
_BUFFERS: dict[str, EventBuffer] = {}
_PERMISSIONS: dict[str, PermissionWaitRegistry] = {}

@app.post("/wiki/{task_id}/start")
async def start(task_id: str):
    perm = create_permission_raise_setup(session_id=task_id)
    _PERMISSIONS[task_id] = perm.registry
    buf = EventBuffer()
    _BUFFERS[task_id] = buf
    graph = build_graph(services={"prompt_handler": perm.handler})  # 注入 agentx graph
    events = wrap_langgraph(graph, {"task_id": task_id}, permission_broker=perm.broker)
    # SDK >= 1.9.4(含 1.9.3 run_ctx + 1.9.4 closeout 诊断):后台 ingest 须 copy_context
    create_task_with_copied_context(
        ingest_stream_to_buffer(perm.wrap_stream(events), buf),
        name=f"wiki-ingest-{task_id}",
    )
    return {"task_id": task_id}

@app.post("/wiki/{task_id}/permission")
async def permission(task_id: str, body: dict):
    registry = _PERMISSIONS[task_id]
    ok = await registry.resolve(body["request_id"], body)
    if not ok:
        raise HTTPException(404)
    return {"ok": True}

@app.get("/wiki/{task_id}/stream")
async def stream(task_id: str, request: Request):
    return stream_to_sse_from_buffer(
        _BUFFERS[task_id],
        request=request,
        permission_mode="raise",
        session_id=task_id,
    )

回退至 bypass:不传 prompt_handlerstream_to_sse(..., permission_mode="bypass")(默认)。

契约 Fixture

SSOT 路径:backend/tests/fixtures/sse/*.events.json。生成说明见该目录 README.md

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

langchain_agentx_stream_ui_backend-0.6.2.tar.gz (82.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file langchain_agentx_stream_ui_backend-0.6.2.tar.gz.

File metadata

File hashes

Hashes for langchain_agentx_stream_ui_backend-0.6.2.tar.gz
Algorithm Hash digest
SHA256 8e6405e231eefd03cfcf13d6ec8fda8c4d7469a3f8332bec727ac8461296a7e7
MD5 7fd53783fd4eb2d8bcef229d87650491
BLAKE2b-256 1080b97300a3ec6f0fbe191789b89bf2db0bb6a0fb5d738e43df271663808882

See more details on using hashes here.

File details

Details for the file langchain_agentx_stream_ui_backend-0.6.2-py3-none-any.whl.

File metadata

File hashes

Hashes for langchain_agentx_stream_ui_backend-0.6.2-py3-none-any.whl
Algorithm Hash digest
SHA256 314ff1032e3b5a4ca4ca9c1a2c9462bdaf1ff8a92ba7fc7701d9d13922994a87
MD5 dca36aa4df57b989c9eb7471672716d9
BLAKE2b-256 6c2a75fe680a78de643dd4699eab3af3861d5856eaf7cf1466fe15115fec6f1a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page