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8087e6a42c
## Summary - Updated all auth docstring examples in `libs/sdk-py` to follow a **default-closed** pattern - Every example now first registers a global `@auth.on` handler that **denies** all requests, then adds resource/action-specific handlers to selectively **allow** access - Fixed inconsistencies (e.g., `@auth.on` vs `@my_auth.on`, sync vs async handlers) and made examples more realistic ## Test plan - [x] `make format` passes - [x] `make lint` passes - [x] Changes are docstring-only — no runtime behavior affected 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
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)