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

179 lines
6.0 KiB
Python

"""Async LangGraph client."""
from __future__ import annotations
import logging
import os
from collections.abc import Mapping
from types import TracebackType
import httpx
from langgraph_sdk._async.assistants import AssistantsClient
from langgraph_sdk._async.cron import CronClient
from langgraph_sdk._async.http import HttpClient
from langgraph_sdk._async.runs import RunsClient
from langgraph_sdk._async.store import StoreClient
from langgraph_sdk._async.threads import ThreadsClient
from langgraph_sdk._shared.types import TimeoutTypes
from langgraph_sdk._shared.utilities import (
NOT_PROVIDED,
_get_headers,
_registered_transports,
get_asgi_transport,
)
logger = logging.getLogger(__name__)
def get_client(
*,
url: str | None = None,
api_key: str | None = NOT_PROVIDED,
headers: Mapping[str, str] | None = None,
timeout: TimeoutTypes | None = None,
) -> LangGraphClient:
"""Create and configure a LangGraphClient.
The client provides programmatic access to LangSmith Deployment. It supports
both remote servers and local in-process connections (when running inside a LangGraph server).
Args:
url:
Base URL of the LangGraph API.
- If `None`, the client first attempts an in-process connection via ASGI transport.
If that fails, it defers registration until after app initialization. This
only works if the client is used from within the Agent server.
api_key:
API key for authentication. Can be:
- A string: use this exact API key
- `None`: explicitly skip loading from environment variables
- Not provided (default): auto-load from environment in this order:
1. `LANGGRAPH_API_KEY`
2. `LANGSMITH_API_KEY`
3. `LANGCHAIN_API_KEY`
headers:
Additional HTTP headers to include in requests. Merged with authentication headers.
timeout:
HTTP timeout configuration. May be:
- `httpx.Timeout` instance
- float (total seconds)
- tuple `(connect, read, write, pool)` in seconds
Defaults: connect=5, read=300, write=300, pool=5.
Returns:
LangGraphClient:
A top-level client exposing sub-clients for assistants, threads,
runs, and cron operations.
???+ example "Connect to a remote server:"
```python
from langgraph_sdk import get_client
# get top-level LangGraphClient
client = get_client(url="http://localhost:8123")
# example usage: client.<model>.<method_name>()
assistants = await client.assistants.get(assistant_id="some_uuid")
```
???+ example "Connect in-process to a running LangGraph server:"
```python
from langgraph_sdk import get_client
client = get_client(url=None)
async def my_node(...):
subagent_result = await client.runs.wait(
thread_id=None,
assistant_id="agent",
input={"messages": [{"role": "user", "content": "Foo"}]},
)
```
???+ example "Skip auto-loading API key from environment:"
```python
from langgraph_sdk import get_client
# Don't load API key from environment variables
client = get_client(
url="http://localhost:8123",
api_key=None
)
```
"""
transport: httpx.AsyncBaseTransport | None = None
if url is None:
url = "http://api"
if os.environ.get("__LANGGRAPH_DEFER_LOOPBACK_TRANSPORT") == "true":
transport = get_asgi_transport()(app=None, root_path="/noauth") # ty: ignore[invalid-argument-type]
_registered_transports.append(transport)
else:
try:
from langgraph_api.server import app # type: ignore
transport = get_asgi_transport()(app, root_path="/noauth")
except Exception:
logger.debug(
"Failed to connect to in-process LangGraph server. Deferring configuration.",
exc_info=True,
)
transport = get_asgi_transport()(app=None, root_path="/noauth") # ty: ignore[invalid-argument-type]
_registered_transports.append(transport)
if transport is None:
transport = httpx.AsyncHTTPTransport(retries=5)
client = httpx.AsyncClient(
base_url=url,
transport=transport,
timeout=(
httpx.Timeout(timeout) # ty: ignore[invalid-argument-type]
if timeout is not None
else httpx.Timeout(connect=5, read=300, write=300, pool=5)
),
headers=_get_headers(api_key, headers),
)
return LangGraphClient(client)
class LangGraphClient:
"""Top-level client for LangGraph API.
Attributes:
assistants: Manages versioned configuration for your graphs.
threads: Handles (potentially) multi-turn interactions, such as conversational threads.
runs: Controls individual invocations of the graph.
crons: Manages scheduled operations.
store: Interfaces with persistent, shared data storage.
"""
def __init__(self, client: httpx.AsyncClient) -> None:
self.http = HttpClient(client)
self.assistants = AssistantsClient(self.http)
self.threads = ThreadsClient(self.http)
self.runs = RunsClient(self.http)
self.crons = CronClient(self.http)
self.store = StoreClient(self.http)
async def __aenter__(self) -> LangGraphClient:
"""Enter the async context manager."""
return self
async def __aexit__(
self,
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: TracebackType | None,
) -> None:
"""Exit the async context manager."""
await self.aclose()
async def aclose(self) -> None:
"""Close the underlying HTTP client."""
if hasattr(self, "http"):
await self.http.client.aclose()