srikanth235

Good question! While it could be implemented as a ChatGPT plugin, OpenAstra offers some key advantages:

1. Visual Features - We maintain useful UI elements from traditional API tools (request/response viewers, environment management) within your chat responses. 2. Privacy & Control - You can self-host it and use any OpenAI-compatible LLM (including local models), keeping sensitive API traffic within your infrastructure

The core idea is to build a complete API discovery and testing platform that happens to use chat as its primary interaction model.

Thanks for the feedback! Let me explain with a concrete example:

Currently with tools like Postman, to test an API endpoint you need to: 1. Read through API documentation 2. Manually construct request parameters 3. Navigate through multiple UI sections to set up headers/auth 4. Format and validate JSON payloads

With OpenAstra, you can simply type "Send a POST request to create a new user with email [email protected]" and it handles all the above setup automatically. It's particularly useful when: - Exploring new APIs without reading extensive docs - Running quick tests without navigating complex UIs - Helping team members who aren't familiar with API tooling

Think of it as having an assistant who understands API documentation and handles the technical setup while focusing on what you want to test. Hope this helps!

Loved the idea behind the product, @dakshgupta. Hiccups do happen, don't worry much about them. Keep iterating!

Yes, absolutely. The goal is to come as close as possible to GitHub copilot in terms of DX. Will add a comparison table soon with other players in the space like continue.dev, TabbyML etc.

I was thinking more in terms of something like secret or private :)

Will add comparison table soon.