Developing AI CoAgents and Applications with Copilot Technology

Key Notes

  • Implementing CoAgent can enhance the interactivity of your applications.
  • Integrating LangGraph agents offers personalized user experiences.
  • Utilizing fast APIs ensures seamless backend communication with your applications.

Unlock the Power of AI: Create CoAgents with Copilot

In an ever-evolving tech landscape, integrating AI into applications isn’t just advantageous—it’s essential. This guide will walk you through the process of creating AI CoAgents using the CoAgent toolkit and Copilot, elevating your React applications to new heights.

Creating AI CoAgents or Applications Powered by Copilot

To embark on this journey, follow the steps outlined below:

  1. Install CopilotKit
  2. Set Up Remote Backend Endpoint
  3. Integrate LangGraph Agent

Step 1: Install CopilotKit

The first prerequisite is installing CopilotKit, leveraging Node.js and npm. Ensure you have a designated folder for your React applications, although it’s optional at this point. Additionally, you’ll need an OpenAI API key, as CopilotKit depends on an open-source LLM model. Here’s how:

  • Open Windows Terminal and change directory to your React app folder:

cd C:\React\myapplication

  • Run this command to install core tools:

npm install @copilotkit/react-core @copilotkit/react-ui @copilotkit/runtime

  • Install the OpenAI support package:

npm install openai

  • Lastly, add your API key to the .env file in the root directory:

OPENAI_API_KEY=your_api_key_here

Pro Tip: Make sure you double-check the API key for accuracy to avoid connectivity issues!

Step 2: Set Up Remote Backend Endpoint

To link your Copilot application with Python-based services (or compatible Node.js alternatives), you will need to establish a Remote Backend endpoint:

pip install copilotkit fastapi uvicorn --extra-index-url https://copilotkit.gateway.scarf.sh/simple/

Now, let’s set up the FastAPI server:

mkdir my_copilotkit_remote_endpoint cd my_copilotkit_remote_endpoint echo.> server.py

If you encounter issues with the echo command, you can manually create the server.py file using Visual Studio Code.

Then, open server.py and insert the following code:

from fastapi import FastAPIapp = FastAPI()@app.get("/")def read_root(): return {"Hello": "World"}

Next, return to Windows Terminal and run

pip install fastapi uvicorn

When finished, visit docs.copilot.ai for further information.

Step 3: Integrate LangGraph Agent

The final step involves adding the LangGraph agent to your server.py file. Begin by locating the CopilotKitSDK instance within your Python Remote Endpoint, typically in the server.py script. Modify it to accommodate LangGraph agents with the following code:

agents=[LangGraphAgent(name="basic_agent", description="An agent that provides weather information", graph=the_langraph_graph, # Uncomment this line if using Google Gemini# "convert_messages": copilotkit_messages_to_langchain(use_function_call=True))],

This modification should be placed under the CopilotKitSDK’s definition. For additional guidance, refer to docs.copilotkit.ai/coagents.

Additional Tips

  • Ensure to verify your API keys after setup.
  • Maintain regular updates to your dependencies for enhanced performance.
  • Explore extensive documentation at CopilotKit for optimum usage.

Summary

This guide demonstrates how to effectively create AI CoAgents using CoAgent and Copilot technology. By following the outlined steps to install CopilotKit and integrate LangGraph agents, developers can unlock the potential of AI in their React applications, providing an enhanced user experience.

Conclusion

Embracing AI capabilities offers vast opportunities for developers to transform how users interact with software. Implementing CoAgents using the steps provided will elevate your applications, making them more responsive and intelligent. Start your journey today!

FAQ (Frequently Asked Questions)

What are the prerequisites for using CoAgent?

To utilize CoAgent, you need Node.js, npm, and an OpenAI API key for integration.

Can I use CoAgent with frameworks other than React?

Yes, while this guide focuses on React, CoAgent can be implemented in various frameworks as well, provided that they can communicate with OpenAI APIs.