showcase/shell-docs/src/content/docs/integrations/ag2/shared-state/read.mdx
<video
src="https://cdn.copilotkit.ai/docs/copilotkit/videos/coagents/shared-state.mp4"
className="rounded-lg shadow-xl"
loop
playsInline
controls
autoPlay
muted
/>
<Callout>
This video shows the result of npx copilotkit@latest init with the
implementation section applied to it.
</Callout>
You can easily use the realtime agent state not only in the chat UI, but also in the native application UX.
<Callout type="info"> CopilotKit consumes AG-UI protocol events streamed by AG2 over{" "} <code>/chat</code>. See the{" "} <a href="https://docs.ag2.ai/latest/docs/user-guide/ag-ui/" target="_blank"> AG2 AG-UI integration docs </a> . </Callout>You can use this when you want to provide the user with feedback about your agent's state. As your agent's state updates, you can reflect these updates natively in your application.
Create your AG2 backend with `ContextVariables` and emit `StateSnapshotEvent` whenever the state changes:
```python title="agent.py"
from typing import Annotated
from ag_ui.core import EventType, StateSnapshotEvent
from fastapi import FastAPI, Header
from fastapi.responses import StreamingResponse
from autogen import ContextVariables, ConversableAgent, LLMConfig
from autogen.ag_ui import AGUIStream, RunAgentInput
def read_state(context: ContextVariables) -> dict:
return context.get("agent_state", {"language": "english"})
def write_state(context: ContextVariables, state: dict) -> StateSnapshotEvent:
context["agent_state"] = state
return StateSnapshotEvent(type=EventType.STATE_SNAPSHOT, snapshot=state)
agent = ConversableAgent(
name="assistant",
system_message=(
"You are a helpful assistant for tracking language. "
"Always respond in the current language."
),
llm_config=LLMConfig({"model": "gpt-5.4-mini"}),
)
@agent.register_for_llm(description="Update the language in shared state.")
def set_language(
context: ContextVariables,
language: Annotated[str, "language such as english or spanish"],
) -> StateSnapshotEvent:
return write_state(context, {"language": language.lower()})
agent.register_for_execution(name="set_language")(set_language)
stream = AGUIStream(agent)
app = FastAPI()
@app.post("/chat")
async def run_agent(
message: RunAgentInput,
accept: str | None = Header(None),
):
return StreamingResponse(
stream.dispatch(message, accept=accept),
media_type=accept or "text/event-stream",
)
```
```tsx title="ui/app/page.tsx"
// Define the agent state type, should match the actual state of your agent
type AgentState = {
language: "english" | "spanish";
}
function YourMainContent() {
// [!code highlight:4]
const { agent } = useAgent({
agentId: "my_agent", // MUST match the agent name in CopilotRuntime
initialState: { language: "english" } // optionally provide an initial state
});
// ...
return (
// style excluded for brevity
<div>
<h1>Your main content</h1>
<p>Language: {agent.state.language}</p>
</div>
);
}
```
<Callout type="warn" title="Important">
The `agentId` 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.state` in `useAgent` is reactive and will automatically update when the agent's state changes.
</Callout>
You can also render the agent's state in the chat UI. This is useful for informing the user about the agent's state in a
more in-context way. To do this, you can use the useAgent hook with a render function.
// Define the agent state type, should match the actual state of your agent
type AgentState = {
language: "english" | "spanish";
};
function YourMainContent() {
// ...
// [!code highlight:7]
useAgent({
agentId: "my_agent",
render: ({ state }) => {
if (!state.language) return null;
return <div>Language: {state.language}</div>;
},
});
// ...
}
By default, AG2 state updates are visible to CopilotKit whenever your backend emits StateSnapshotEvent.
For smoother long-running workflows, emit additional intermediate snapshots from your backend tools.