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## Description Mirrors a server-side change by accepting an optional \`metadata\` filter on \`crons.search\` and \`crons.count\` in both the async and sync Python SDK clients. Matches the existing pattern used for assistants/threads search. ## Release Note Python SDK: \`crons.search\` and \`crons.count\` now accept an optional \`metadata\` filter that is forwarded to the server. ## Test Plan - [ ] New unit tests in \`tests/test_crons_client.py\` verify metadata is forwarded for both async and sync clients and omitted when not provided. --------- Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com> Co-authored-by: Parker J. Rule <pjrule@users.noreply.github.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)