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Google AI profile image Frank Guan
Frank Guan for Google AI

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Check out this great tutorial on building ADK agent frontends with AG-UI Protocol and CopilotKit

#webdev #adk #ai #agents

Ready to build a user-friendly frontend for your ADK agents? This guide will show you how to use CopilotKit and the AG-UI protocol to create a powerful, real-time user interface for your AI agents. 🤖

CopilotKit

Build a Frontend for your ADK Agents with AG-UI

Bonnie for CopilotKit ・ Sep 25

#webdev #programming #ai #tutorial

Why Use CopilotKit?
Speed up development: Go from idea to a working prototype in just a few hours.

  • Pre-built UI components: Save time with ready-to-use components like CopilotSidebar.

  • Real-time updates: Stream your agent's responses and tool outputs for a dynamic user experience.

  • Simplified state management: The useCoAgent hook makes it easy to sync your agent's state with the frontend.

Getting Started
Here’s a quick overview of the key steps:

  1. Setup: Use a single CLI command to set up a full-stack ADK agent with both the backend (AG-UI) and frontend (CopilotKit) configured.

  2. Backend Integration: Integrate your ADK agent with the AG-UI protocol and expose it as an ASGI application through a FastAPI endpoint.

  3. Frontend Development: Install the CopilotKit packages and configure a Copilot Runtime instance to communicate with the backend.

  4. UI Components: Use the CopilotKit provider to manage agent sessions and CopilotSidebar to create the chat interface.

  5. State Synchronization: Use the useCoAgent hook to share and sync the agent's state with the frontend in real time.

  6. Real-time Updates: Stream and render your agent's responses and tool outputs on the frontend.

With these tools, you can quickly build a production-ready AI agent with a rich and interactive user interface. Worth checking out if you're building AI agents and want rich frontend experiences! Learn more in this post or other resources below:

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