showcase/shell-docs/src/content/docs/integrations/agno/quickstart.mdx
<video src="https://cdn.copilotkit.ai/docs/copilotkit/images/coagents/chat-example.mp4" className="rounded-lg shadow-xl" loop playsInline controls autoPlay muted />
Before you begin, you'll need the following:
```bash
npx copilotkit@latest create -f agno
```
</Step>
<Step>
### Install dependencies
```npm
npm install
```
</Step>
<Step>
### Configure your environment
Create a `.env` file in your agent directory and add your OpenAI API key:
```plaintext title="agent/.env"
OPENAI_API_KEY=your_openai_api_key
```
<Callout type="info" title="What about other models?">
The starter template is configured to use OpenAI's GPT-4o by default, but you can modify it to use any language model supported by Agno.
</Callout>
</Step>
<Step>
### Start the development server
<Tabs groupId="package-manager" items={['npm', 'pnpm', 'yarn', 'bun']}>
<Tab value="npm">
```bash
npm run dev
```
</Tab>
<Tab value="pnpm">
```bash
pnpm dev
```
</Tab>
<Tab value="yarn">
```bash
yarn dev
```
</Tab>
<Tab value="bun">
```bash
bun dev
```
</Tab>
</Tabs>
This will start both the UI and agent servers concurrently.
</Step>
</TailoredContentOption>
<TailoredContentOption
id="bring-your-own"
title="Use an existing agent"
description="I already have an Agno agent and want to add CopilotKit."
>
<Step>
### Initialize your agent project
If you don't already have a Python project set up, create one using `uv`:
```bash
uv init my-agent
cd my-agent
```
</Step>
<Step>
### Install Agno with AG-UI
Add Agno and uvicorn to your project:
```bash
uv add agno fastapi uvicorn openai ag-ui-protocol
```
</Step>
<Step>
### Configure your environment
Set your OpenAI API key as an environment variable:
```bash
export OPENAI_API_KEY=your_openai_api_key
```
<Callout type="info" title="What about other models?">
This example uses OpenAI's GPT-4o, but you can modify it to use any language model supported by Agno.
</Callout>
</Step>
<Step>
### Expose your agent via AG-UI
Update your agent file to expose it as an AG-UI ASGI application:
```python title="main.py"
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.os import AgentOS
from agno.os.interfaces.agui import AGUI
agent = Agent(
model=OpenAIChat(id="gpt-5.4"),
description="A helpful assistant that can answer questions and provide information.",
instructions="Be helpful and friendly. Format your responses using markdown where appropriate.",
)
agent_os = AgentOS(agents=[agent], interfaces=[AGUI(agent=agent)])
app = agent_os.get_app()
if __name__ == "__main__":
agent_os.serve(app="main:app", port=8000, reload=True)
```
<Callout type="info" title="What is AG-UI?">
AG-UI is an open protocol for frontend-agent communication. AgentOS with the AGUI interface creates an ASGI app that CopilotKit can connect to.
</Callout>
</Step>
<Step>
### Create your frontend
CopilotKit works with any React-based frontend. We'll use Next.js for this example.
```bash
npx create-next-app@latest my-copilot-app
cd my-copilot-app
```
</Step>
<Step>
### Install CopilotKit packages
```npm
npm install @copilotkit/react-ui @copilotkit/react-core @copilotkit/runtime @ag-ui/agno
```
</Step>
<Step>
### Setup Copilot Runtime
Create an API route to connect CopilotKit to your Agno agent:
```tsx title="app/api/copilotkit/route.ts"
import {
CopilotRuntime,
ExperimentalEmptyAdapter,
copilotRuntimeNextJSAppRouterEndpoint,
} from "@copilotkit/runtime";
import { AgnoAgent } from "@ag-ui/agno";
import { NextRequest } from "next/server";
const serviceAdapter = new ExperimentalEmptyAdapter();
const runtime = new CopilotRuntime({
agents: {
my_agent: new AgnoAgent({ url: "http://localhost:8000/agui" }),
}
});
export const POST = async (req: NextRequest) => {
const { handleRequest } = copilotRuntimeNextJSAppRouterEndpoint({
runtime,
serviceAdapter,
endpoint: "/api/copilotkit",
});
return handleRequest(req);
};
```
</Step>
<Step>
### Configure CopilotKit Provider
Wrap your application with the CopilotKit provider:
```tsx title="app/layout.tsx"
import { CopilotKit } from "@copilotkit/react-core/v2"; // [!code highlight]
import "@copilotkit/react-ui/v2/styles.css"; // [!code highlight]
import './globals.css';
// ...
export default function RootLayout({ children }: {children: React.ReactNode}) {
return (
<html lang="en">
<body>
<CopilotKit runtimeUrl="/api/copilotkit" agent="my_agent">
{children}
</CopilotKit>
</body>
</html>
);
}
```
</Step>
<Step>
### Add the chat interface
Add the CopilotSidebar component to your page:
```tsx title="app/page.tsx"
import { CopilotSidebar } from "@copilotkit/react-core/v2"; // [!code highlight]
export default function Page() {
return (
<main>
<h1>Your App</h1>
<CopilotSidebar />
</main>
);
}
```
</Step>
<Step>
### Start your agent
From your agent directory, start the agent server:
```bash
cd ..
uv run main.py
```
Your agent will be available at `http://localhost:8000/agui`.
</Step>
<Step>
### Start your UI
In a separate terminal, navigate to your frontend directory and start the development server:
<Tabs groupId="package-manager" items={['npm', 'pnpm', 'yarn', 'bun']}>
<Tab value="npm">
```bash
cd my-copilot-app
npm run dev
```
</Tab>
<Tab value="pnpm">
```bash
cd my-copilot-app
pnpm dev
```
</Tab>
<Tab value="yarn">
```bash
cd my-copilot-app
yarn dev
```
</Tab>
<Tab value="bun">
```bash
cd my-copilot-app
bun dev
```
</Tab>
</Tabs>
</Step>
</TailoredContentOption>
</TailoredContent>
<Step>
### 🎉 Start chatting!
Your AI agent is now ready to use! Navigate to `localhost:3000` and try asking it some questions:
```
Can you tell me a joke?
```
```
Can you help me understand AI?
```
```
What do you think about React?
```
<Accordions className="mb-4">
<Accordion title="Troubleshooting">
- If you're having connection issues, try using `0.0.0.0` or `127.0.0.1` instead of `localhost`
- Make sure your agent is running on port 8000
- Check that your OpenAI API key is correctly set
- Verify that the `@ag-ui/client` package is installed in your frontend
</Accordion>
</Accordions>
</Step>
Now that you have your basic agent setup, explore these advanced features:
<Cards> <Card title="Implement Human in the Loop" description="Allow your users and agents to collaborate together on tasks." href="/agno/human-in-the-loop" icon={<UserIcon />} /> <Card title="Add some generative UI" description="Render your agent's progress and output in the UI." href="/agno/generative-ui/tool-rendering" icon={<PaintbrushIcon />} /> <Card title="Setup frontend tools" description="Give your agent the ability to call frontend tools, directly updating your application." href="/agno/frontend-tools" icon={<WrenchIcon />} /> </Cards>