wehub-resource-sync
64 lines
1.9 KiB
Markdown
64 lines
1.9 KiB
Markdown
# composio-langgraph
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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.
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## Installation
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```bash
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pip install composio composio-langgraph langgraph langchain langchain-openai
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```
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Set `COMPOSIO_API_KEY` (get one from [dashboard.composio.dev/settings](https://dashboard.composio.dev/settings)) and `OPENAI_API_KEY` in your environment:
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```bash
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export COMPOSIO_API_KEY=xxxxxxxxx
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export OPENAI_API_KEY=xxxxxxxxx
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```
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## Quickstart
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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.
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```python
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from composio import Composio
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from composio_langgraph import LanggraphProvider
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from langchain.agents import create_agent
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from langchain_openai import ChatOpenAI
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composio = Composio(provider=LanggraphProvider())
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llm = ChatOpenAI(model="gpt-5.2")
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# Each session is scoped to one of your users
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session = composio.create(user_id="user_123")
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tools = session.tools()
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agent = create_agent(tools=tools, model=llm)
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result = agent.invoke(
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{
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"messages": [
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(
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"user",
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"Send an email to john@example.com with the subject 'Hello' and body 'Hello from Composio!'",
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)
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]
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}
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)
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print(result["messages"][-1].content)
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```
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## Error handling
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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:
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```python
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{"successful": False, "error": "<validation message>", "data": None}
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```
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Check `successful` in tool output instead of wrapping calls in `try`/`except`.
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## Links
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- [LangChain provider docs](https://docs.composio.dev/docs/providers/langchain) (covers LangGraph)
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- [Composio documentation](https://docs.composio.dev)
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