mirror of
https://github.com/langchain-ai/langgraph.git
synced 2026-08-31 12:19:58 +02:00
Eugene YurtsevandGitHub
20558f62e2
Backports the ToolRuntime fix onto the release branch and bumps to . This makes default to an empty list when not provided and includes a focused regression test, with the prebuilt lockfile updated to match the version bump. Created with [Deep Agents CLI](https://docs.langchain.com/oss/python/deepagents/cli/overview) using gpt-5.4 (provider: openai).
LangGraph Python SDK
This repository contains the Python SDK for interacting with the LangSmith Deployment REST API.
Quick Start
To get started with the Python SDK, install the package
pip install -U langgraph-sdk
You will need a running LangGraph API server. If you're running a server locally using langgraph-cli, SDK will automatically point at http://localhost:8123, otherwise
you would need to specify the server URL when creating a client.
from langgraph_sdk import get_client
# If you're using a remote server, initialize the client with `get_client(url=REMOTE_URL)`
client = get_client()
# List all assistants
assistants = await client.assistants.search()
# We auto-create an assistant for each graph you register in config.
agent = assistants[0]
# Start a new thread
thread = await client.threads.create()
# Start a streaming run
input = {"messages": [{"role": "human", "content": "what's the weather in la"}]}
async for chunk in client.runs.stream(thread['thread_id'], agent['assistant_id'], input=input):
print(chunk)