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chore: import upstream snapshot with attribution
2026-07-13 12:37:18 +08:00

125 lines
4.1 KiB
Python

"""Shared helpers for the v3 streaming integration scripts.
All scripts share the same expectations:
- A `langgraph-api` server is reachable at `BASE_URL` (default
http://localhost:2024 — set by `docker-compose.yml`, which builds
on `langchain/langgraph-api:latest-py3.12`).
- The example graph (`integration/graph/streaming_graph.py:graph`) is
registered under the assistant id `agent` (see `integration/langgraph.json`).
Each script imports `make_async_client()` / `make_sync_client()` from here
to construct the v3 SDK client. Override `BASE_URL` via the
`LANGGRAPH_INTEGRATION_URL` env var if you're running the API elsewhere.
"""
from __future__ import annotations
import asyncio
import contextlib
import os
import threading
from typing import TYPE_CHECKING, Any
import httpx
if TYPE_CHECKING:
from langgraph_sdk._async.threads import ThreadsClient as AsyncThreadsClient
from langgraph_sdk._sync.threads import SyncThreadsClient
BASE_URL = os.environ.get("LANGGRAPH_INTEGRATION_URL", "http://localhost:2024")
ASSISTANT_ID = "agent"
def make_async_client() -> tuple[AsyncThreadsClient, httpx.AsyncClient]:
"""Build an async ThreadsClient pointing at the integration API.
Returns the client and the underlying httpx client so callers can close
it. Typical usage:
```python
threads, raw = make_async_client()
try:
async with threads.stream(...) as thread:
...
finally:
await raw.aclose()
```
"""
from langgraph_sdk._async.http import HttpClient
from langgraph_sdk._async.threads import ThreadsClient
raw = httpx.AsyncClient(base_url=BASE_URL, timeout=30.0)
return ThreadsClient(HttpClient(raw)), raw
def make_sync_client() -> tuple[SyncThreadsClient, httpx.Client]:
"""Build a sync ThreadsClient pointing at the integration API."""
from langgraph_sdk._sync.http import SyncHttpClient
from langgraph_sdk._sync.threads import SyncThreadsClient
raw = httpx.Client(base_url=BASE_URL, timeout=30.0)
return SyncThreadsClient(SyncHttpClient(raw)), raw
def header(title: str) -> None:
"""Print a section header for script output."""
bar = "=" * (len(title) + 4)
print(f"\n{bar}\n {title}\n{bar}")
def auto_respond_async(thread: Any, response: Any = "yes") -> asyncio.Task[None]:
"""Spawn a background task that responds to the first interrupt and exits.
Opens a private `thread.values` subscription and drains it; the SDK's
`_signal_paused` mechanism pushes the terminal sentinel into the
iterator when `interrupted` flips True, so the loop exits at the
interrupt. The auto-responder then calls `run.respond(...)` and the
foreground iteration sees the rest of the run.
Returns the task so callers can `await` it before tearing down the
stream (recommended) or cancel it.
"""
async def _runner() -> None:
async for _ in thread.values:
if thread.interrupted:
break
if thread.interrupted:
with contextlib.suppress(Exception):
await thread.run.respond(response)
return asyncio.create_task(_runner())
def auto_respond_sync(thread: Any, response: Any = "yes") -> threading.Thread:
"""Sync analogue of `auto_respond_async`."""
def _runner() -> None:
for _ in thread.values:
if thread.interrupted:
break
if thread.interrupted:
with contextlib.suppress(Exception):
thread.run.respond(response)
t = threading.Thread(target=_runner, daemon=True, name="auto-respond")
t.start()
return t
def check_api_reachable() -> None:
"""Fail fast with a helpful message if the API isn't reachable.
Call this at the top of `main()` in each script.
"""
try:
resp = httpx.get(f"{BASE_URL}/ok", timeout=2.0)
resp.raise_for_status()
except Exception as err:
raise SystemExit(
f"\nCannot reach the integration API at {BASE_URL}: {err!r}\n"
f"Did you run `docker compose up -d` from `libs/sdk-py/integration/`?\n"
f"Or set LANGGRAPH_INTEGRATION_URL=... to point elsewhere.\n"
) from err