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Follow the [LangGraph Python quickstart](/langgraph-python/quickstart) to
configure the `sample_agent` graph. Start its existing LangGraph server:
```bash title="Agent application"
npx @langchain/langgraph-cli dev --port 8123 --no-browser
```
Point the native LangGraph adapter at that deployment:
```dotenv title=".env"
LANGGRAPH_DEPLOYMENT_URL=http://localhost:8123
```
The Runtime package installed by the Channels quickstart includes the native
LangGraph adapter.
LangGraph Server speaks the LangGraph API, so use `LangGraphAgent` rather
than `HttpAgent`. Return a fresh adapter for every channel thread:
```ts title="agent.ts"
import { LangGraphAgent } from "@copilotkit/runtime/langgraph";
export function makeAgent(threadId: string) {
const agent = new LangGraphAgent({
deploymentUrl: process.env.LANGGRAPH_DEPLOYMENT_URL!,
graphId: "sample_agent",
});
agent.threadId = threadId;
return agent;
}
```