Vapi Example for Cloudflare Worker

Welcome to the Vapi Cloudflare worker sample project. This project demonstrates how you can extend the functionalities of Vapi, an abstraction layer for your personal assistant, to create a unique experience tailored for story writers. Using this project, writers can design characters for their stories through voice interactions with the assistant.

Project Overview

The project showcases the following customizations:

• Function Calling: Writers can invoke custom functions to retrieve character inspirations and generate random names based on specific criteria. For more info click here
• Custom Large Language Model (LLM) Integration: Enhance conversational capabilities by integrating custom LLMs with Vapi for nuanced and context-aware interactions. For more info click here
• Server URL Events: Handle various events during a call's lifecycle, such as function calls and assistant requests, to provide dynamic responses. For more info click here

Features

• Creative Prompts for Character Development: Utilize the function that provides creative prompts for character development to get inspired based on a query provided by the author.
• Random Name Generation: Use a public endpoint to generate random names, with options to specify gender and nationality based on user input.
• Advanced Conversational Interactions: Leverage advanced LLMs to improve natural language understanding and generation for complex conversations.

Getting Started

To get started with this project:

Basic Project Setup

1. Clone the repository to your local machine.
2. Install the dependencies by running pnpm install.
3. Setup wrangler by creating wrangler.toml by command cp wrangler.example.toml wrangler.toml in the root directory. Install wrangler cli if you don't have it using npm i -g wrangler.
4. You can start the project locally using command pnpm start
5. You can deploy the project to cloudflare worker using command pnpm deploy:prod

Configuration

1. Create wrangler.toml by command cp wrangler.example.toml wrangler.toml in the root directory.

2. Get ur OPENAI_API_KEY from openai and update the wrangler.toml file.

3. From Vapi dashboard, you can get your Vapi Private key from Dashboard > Accounts > Vapi Keys > Api Key and update wrangler.toml file

4. Get ServerURL

   1. Using Ngrok: Start the project locally using pnpm start and then use ngrok to get the url.
   2. Using Cloudflare Worker: Deploy to cloudflare using pnpm deploy:prod and get URL from the cloudflare.

   The serverURL to be configured in the Dashboard > Accounts > Settings is https://<domain>/api/webhook This has all the messages placeholder. You can also try https://<domain>/api/functions/basic or https://<domain>/api/rag

5. There are sample request body in ./assistants folder. Use them to create an assistant using the POST endpoint https://api.vapi.ai/api/assistant with any of the body from ./assistants.

6. Now you have an assistant created which you can talk with from the Vapi Dashboard.

Explore and make changes.

1. Explore the api directory to understand how the function calling and custom LLM integrations and webhook event handling are set up.
2. Review the types directory to see the data structures used for handling Vapi events and payloads.
3. Check the data directory for sample data that the function for creative character prompts can use.
4. Remove any unnecessary code and start adding your own logic.

Examples

Here are some examples of how the custom functionalities can be used:

• A writer asks Vapi for help with character development, and Vapi responds with a creative prompt from the function designed for this purpose.
• A writer requests a random name for a character, and Vapi uses the function for random name generation to provide a name with the specified gender and nationality.

Conclusion

This sample project illustrates the power of Vapi customization for specific use cases, such as assisting story writers in their creative process. By following the examples and guidelines provided, developers can create a more versatile and responsive voice assistant that caters to the unique needs of their users.

For additional help and documentation, refer to the official Vapi documentation.