---
title: Writing agent state
icon: "lucide/ArrowRight"
description: Write to agent's state from your application.
---
import RunAndConnect from "@/snippets/integrations/llamaindex/run-and-connect.mdx"
import { IframeSwitcher } from "@/components/content"

<IframeSwitcher
  id="shared-state-write-example"
  exampleUrl="https://feature-viewer.copilotkit.ai/llama-index/feature/shared_state?sidebar=false&chatDefaultOpen=false"
  codeUrl="https://feature-viewer.copilotkit.ai/llama-index/feature/shared_state?view=code&sidebar=false&codeLayout=tabs"
  exampleLabel="Demo"
  codeLabel="Code"
  height="700px"
/>

<Callout type="info">
  This example demonstrates writing to shared state in the [CopilotKit Feature Viewer](https://feature-viewer.copilotkit.ai/llama-index/feature/shared_state).
</Callout>

## What is this?

You can easily write to your agent's state from your native application, allowing you to update the agent's working memory from your UI.

## When should I use this?

You can use this when you want to provide user input or control to your agent's working memory. As your application state changes, you can update the agent state to reflect these changes.

## Implementation

<Steps>
  <Step>
    ### Run and connect your agent
    <RunAndConnect components={props.components} />
  </Step>
  <Step>
    ### Define the Agent State

    Create your LlamaIndex agent with a stateful structure using `initial_state`. Here's a complete example that tracks language:

    ```python title="agent.py"
    from fastapi import FastAPI
    from llama_index.llms.openai import OpenAI
    from llama_index.protocols.ag_ui.router import get_ag_ui_workflow_router

    # Initialize the LLM
    llm = OpenAI(model="gpt-5.4")

    # Create the AG-UI workflow router
    agentic_chat_router = get_ag_ui_workflow_router(
        llm=llm,
        system_prompt="""
        You are a helpful assistant for tracking the language.

        IMPORTANT:
        - ALWAYS use the lower case for the language
        - ALWAYS respond in the current language from the state
        """,
        initial_state={
            "language": "english"
        },
    )

    # Create FastAPI app
    app = FastAPI(
        title="LlamaIndex Agent",
        description="A LlamaIndex agent integrated with CopilotKit",
        version="1.0.0"
    )

    # Include the router
    app.include_router(agentic_chat_router)

    # Health check endpoint
    @app.get("/health")
    async def health_check():
        return {"status": "healthy", "agent": "llamaindex"}

    if __name__ == "__main__":
        import uvicorn
        uvicorn.run(app, host="localhost", port=8000)
    ```

  </Step>
  <Step>
    ### Use the `useAgent` Hook
    With your agent connected and running all that is left is to call the `useAgent` hook, pass the agent's name, and
    use `agent.setState` to update the agent state.

    ```tsx title="ui/app/page.tsx"
    "use client";

    import { useAgent } from "@copilotkit/react-core/v2"; // [!code highlight]

    // Define the agent state type, should match the actual state of your agent
    type AgentState = {
      language: "english" | "spanish";
    }

    // Example usage in a pseudo React component
    function YourMainContent() {
      const { agent } = useAgent({ // [!code highlight]
        agentId: "my_agent",
        initialState: { language: "english" }  // optionally provide an initial state
      });

      // ...

      const toggleLanguage = () => {
        agent.setState({ language: agent.state?.language === "english" ? "spanish" : "english" }); // [!code highlight]
      };

      // ...

      return (
        // style excluded for brevity
        <div>
          <h1>Your main content</h1>
          {/* [!code highlight:2] */}
          <p>Language: {agent.state?.language}</p>
          <button onClick={toggleLanguage}>Toggle Language</button>
        </div>
      );
    }
    ```

    <Callout type="warn" title="Important">
      The `name` parameter must exactly match the agent name you defined in your CopilotRuntime configuration (e.g., `my_agent` from the quickstart).
    </Callout>

    <Callout type="info">
      The `agent.setState` function in `useAgent` will update the state and trigger a rerender when the state changes.
    </Callout>

  </Step>
  <Step>
    ### Give it a try!
    You can now use `agent.setState` to update the agent state and `agent.state` to read it. Try toggling the language button
    and talking to your agent. You'll see the language change to match the agent's state.
  </Step>
</Steps>

## Advanced Usage

### Re-run the agent with a hint about what's changed

The new agent state will be used next time the agent runs.
If you want to re-run it manually, use `copilotkit.runAgent()`.

The agent will be re-run with the latest updated state. You can also add a hint message before re-running.

```tsx title="ui/app/page.tsx"
import { useAgent, useCopilotKit } from "@copilotkit/react-core/v2";

// ...

function YourMainContent() {
  const { agent } = useAgent({
    agentId: "my_agent",
  });
  const { copilotkit } = useCopilotKit(); // [!code highlight]

  // setup to be called when some event in the app occurs
  const toggleLanguage = async () => {
    const newLanguage = agent.state?.language === "english" ? "spanish" : "english";
    agent.setState({ language: newLanguage });

    // add a hint message and re-run the agent
    // [!code highlight:7]
    agent.addMessage({
      id: crypto.randomUUID(),
      role: "user",
      content: `the language has been updated to ${newLanguage}`,
    });
    await copilotkit.runAgent({ agent });
  };

  return (
    // ...
  );
}
```
