Margdarshak

Steps to Run

To run the project, use the following commands:

# Run the project
API_KEY=<openai api key> cargo run

The project uses the following dependencies:

• anyhow: For error handling.
• async-trait: For async functions in traits.
• bytes: For working with byte buffers.
• http-body-util: For working with HTTP bodies.
• hyper: For HTTP server and client implementation.
• tokio: For asynchronous runtime.
• tracing: For application-level tracing and logging.

Project Logic

The project is structured to handle HTTP requests and process them using a wizard model. Here is a brief overview of the logic:

1. Initialization: The run function initializes the TargetRuntime with HTTP, file system, and environment IO components. It then scrapes data from a specified URL and processes it into a query.

2. Wizard Interaction: A Wizard instance is created using the processed query and an API key from the environment. The wizard is used to ask questions and get responses.

3. HTTP Server: The AppCtx struct, which holds the Wizard instance and the scraped data, is passed to the HTTP server. The server listens for incoming requests.

4. Request Handling: When a request is received, the handle_request function processes the request body, creates a Question instance, and uses the wizard to get a response. The response is then sent back to the client.

This setup allows the project to dynamically process and respond to HTTP requests using the wizard model.