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Isaac FranciscoandGitHub
8b95adb1bd
* add get_versions to python sdk * fml * add change_version to sdk * add assistant name to create * document assistant name * change method * version in payload * fml * add js methods and types * name -> assistant_name * export onconflictbehavior * add assistant name to create * add metadata/limit/offset to sdk * add assistant_name to update * assistantversion schema * export assistnatversion * add metadata/limit/offset to sdk * assistantversion schema * fmt * fmt * change version -> set version * fmt * assistant_name -> name * naming
LangGraph Python SDK
This repository contains the Python SDK for interacting with the LangGraph Cloud 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)