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LangChain

docs/content/docs/providers/langchain.mdx

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The LangChain provider transforms Composio tools into LangChain's StructuredTool format with built-in execution.

<Steps> <Step> **Install**

<Tabs groupId="language" items={["Python", "TypeScript"]} persist> <Tab value="Python">

bash
pip install composio composio_langchain langchain langchain_openai
</Tab> <Tab value="TypeScript"> ```bash npm install @composio/core @composio/langchain @langchain/openai @langchain/langgraph @langchain/core ``` </Tab> </Tabs> </Step> <Step> **Configure API Keys** <Callout type="info"> Set `COMPOSIO_API_KEY` with your API key from [Settings](https://platform.composio.dev/?next_page=/settings) and `OPENAI_API_KEY` with your [OpenAI API key](https://platform.openai.com/api-keys). </Callout>
txt
COMPOSIO_API_KEY=xxxxxxxxx
OPENAI_API_KEY=xxxxxxxxx
</Step> <Step> **Create session and run**

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python
from composio import Composio
from composio_langchain import LangchainProvider
from langchain.agents import create_agent
from langchain_openai import ChatOpenAI

composio = Composio(provider=LangchainProvider())
llm = ChatOpenAI(model="gpt-5.2")

# Create a session for your user
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 [email protected] with the subject 'Hello' and body 'Hello from Composio!'")]})

print(result["messages"][-1].content)
</Tab> <Tab value="TypeScript"> ```typescript import { ChatOpenAI } from '@langchain/openai'; import { HumanMessage, AIMessage } from '@langchain/core/messages'; import { ToolNode } from '@langchain/langgraph/prebuilt'; import { StateGraph, MessagesAnnotation } from '@langchain/langgraph'; import { Composio } from '@composio/core'; import { LangchainProvider } from '@composio/langchain';

const composio = new Composio({ provider: new LangchainProvider(), });

// Create a session for your user const session = await composio.create("user_123"); const tools = await session.tools();

const toolNode = new ToolNode(tools);

const model = new ChatOpenAI({ model: 'gpt-5.2', temperature: 0, }).bindTools(tools);

function shouldContinue({ messages }: typeof MessagesAnnotation.State) { const lastMessage = messages[messages.length - 1] as AIMessage; if (lastMessage.tool_calls?.length) { return 'tools'; } return 'end'; }

async function callModel(state: typeof MessagesAnnotation.State) { const response = await model.invoke(state.messages); return { messages: [response] }; }

const workflow = new StateGraph(MessagesAnnotation) .addNode('agent', callModel) .addEdge('start', 'agent') .addNode('tools', toolNode) .addEdge('tools', 'agent') .addConditionalEdges('agent', shouldContinue);

const app = workflow.compile();

const finalState = await app.invoke({ messages: [new HumanMessage("Send an email to [email protected] with the subject 'Hello' and body 'Hello from Composio!'")], }); console.log(finalState.messages[finalState.messages.length - 1].content);

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