Vapi Integration with Custom LLM

Welcome to the Vapi CustomLLM sample project! This guide will walk you through integrating Vapi with your custom language model.

Getting Started

To set up this project:

1. Create a Python Virtual Environment

   python -m venv .venv
   source .venv/bin/activate
   

2. Set Up Environment Variables

   • Create a .env file in your repository:

     cp .env.example .env

   • Add your OPENAI_API_KEY to the .env file.

3. Install Dependencies

   pip install --upgrade pip &&\ 
       pip install -r requirements.txt    

4. Run the FastAPI Server

   fastapi dev ./app/main.py 

Exposing Localhost to the Internet

To make your local server accessible over the internet, you can use ngrok. Follow these steps:

1. Install ngrok
2. Expose Localhost

    ngrok http 8000   

Conclusion

This sample project demonstrates how to integrate a custom language model with Vapi. By following these steps, developers can create a more versatile and responsive voice assistant tailored to their users' unique needs.

For more help and detailed documentation, please refer to the official Vapi documentation.