Free SKILL.md scraped from GitHub. Clone the repo or copy the file directly into your Claude Code skills directory.
npx versuz@latest install composiohq-composio-agents-skills-building-agents-using-langchaingit clone https://github.com/ComposioHQ/composio.gitcp composio/SKILL.MD ~/.claude/skills/composiohq-composio-agents-skills-building-agents-using-langchain/SKILL.md# Building Agents using LangChain with Composio
Build AI agents using LangChain/LangGraph with Composio Tool Router.
## Installation
```bash
npm install @composio/core @composio/langchain langchain @langchain/core @langchain/openai
```
```bash
pip install composio-langchain langchain langchain-openai
```
**Find Latest Versions:**
```bash
npm view langchain version
pip index versions langchain | grep "Available versions" | head -1
```
## Integration Method
**LangChain is an agentic provider** - use Tool Router (or MCP for flexibility).
### Native Tools with Tool Router
```typescript
import { ChatOpenAI } from '@langchain/openai';
import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
const composio = new Composio({
apiKey: process.env.COMPOSIO_API_KEY,
provider: new LangchainProvider(),
});
async function runAgent(userId: string, prompt: string) {
// Create session
const session = await composio.create(userId, {
toolkits: ['github'],
manageConnections: true
});
const tools = await session.tools();
// Use with LangChain
const llm = new ChatOpenAI({ model: 'gpt-4o' });
const agent = llm.bindTools(tools);
const result = await agent.invoke(prompt);
return result;
}
```
```python
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, App
composio_toolset = ComposioToolSet()
def run_agent(user_id: str, prompt: str):
# Create session
session = composio_toolset.create(
user_id=user_id,
toolkits=["github"],
manage_connections=True
)
tools = session.tools()
# Use with LangChain
llm = ChatOpenAI(model="gpt-4o")
agent = llm.bind_tools(tools)
result = agent.invoke(prompt)
return result
```
### MCP Integration
```typescript
import { MultiServerMCPClient } from '@langchain/mcp-adapters';
import { Composio } from '@composio/core';
const composio = new Composio();
async function runAgentMCP(userId: string) {
const session = await composio.create(userId, {
toolkits: ['github']
});
const client = new MultiServerMCPClient({
composio: {
transport: 'http',
url: session.mcp.url,
headers: session.mcp.headers
}
});
const tools = await client.getTools();
// Use tools with LangChain
}
```
## Key Resources
- **LangChain Docs**: https://python.langchain.com/docs/introduction/
- **Tool Router Guide**: `/building-agents`
- **Agents Documentation**: https://docs.langchain.com/oss/python/langchain/agents
- **Use LangGraph for production**: More flexible agent runtime
## Environment Variables
```bash
OPENAI_API_KEY=sk-... # Or other LLM provider
COMPOSIO_API_KEY=...
```
## Next Steps
1. Use `/building-agents` for comprehensive guide
2. Use `/building-agents-using-langgraph` for stateful agents
3. Check `ts/examples/langchain/` for complete examples