composio-langgraph
Adapts Composio tools to LangChain's StructuredTool format for use in LangGraph agents and graph workflows, giving them access to 1000+ apps through a single Composio session.
Installation
pip install composio composio-langgraph langgraph langchain langchain-openai
Set COMPOSIO_API_KEY (get one from dashboard.composio.dev/settings) and OPENAI_API_KEY in your environment:
export COMPOSIO_API_KEY=xxxxxxxxx
export OPENAI_API_KEY=xxxxxxxxx
Quickstart
Create a session for your user, fetch its tools, and hand them to your agent. The wrapped tools also work anywhere LangGraph accepts LangChain tools, such as a ToolNode in a custom graph.
from composio import Composio
from composio_langgraph import LanggraphProvider
from langchain.agents import create_agent
from langchain_openai import ChatOpenAI
composio = Composio(provider=LanggraphProvider())
llm = ChatOpenAI(model="gpt-5.2")
# Each session is scoped to one of your users
session = composio.create(user_id="user_123")
tools = session.tools()
agent = create_agent(tools=tools, model=llm)
result = agent.invoke(
{
"messages": [
(
"user",
"Send an email to john@example.com with the subject 'Hello' and body 'Hello from Composio!'",
)
]
}
)
print(result["messages"][-1].content)
Error handling
Each wrapped tool builds its args_schema from the Composio tool's input schema. When argument validation fails, the tool does not raise; it returns a structured result:
{"successful": False, "error": "<validation message>", "data": None}
Check successful in tool output instead of wrapping calls in try/except.
Links
- LangChain provider docs (covers LangGraph)
- Composio documentation
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