showcase/shell-docs/src/content/docs/integrations/llamaindex/shared-state/in-app-agent-write.mdx
<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>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.
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.
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__":
uvicorn.run(app, host="localhost", port=8000)
```
```tsx title="ui/app/page.tsx"
"use client";
// 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>
<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>
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.
// ...
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 (
// ...
);
}