Explore OpenAI Agentic Workflows with File2knowledge

[Maxidonkey 13]

Hello all,

 

I recently released File2knowledge on GitHub—a true playground for Delphi developers who want to explore OpenAI via the v1/responses endpoint, perfect for agentic approaches. This project is primarily educational, and here’s why it deserves your attention:

• Web/Edge UI ready to go: dive in within seconds, no hassle.

• Session history: replay every experiment, debug model logic, and refine your prompts step by step.

• Native async: everything’s built on Promises for clean, non-blocking workflows.

• Mockable architecture: with IoC/DI you can swap out any internal service, simplify your tests, evolve the project… or even switch to FMX if you feel like it.

 

Built-in Assistant

File2knowledge goes beyond a simple wrapper: it uses file_search to dig through your source files and the docs of existing GenAI wrappers on GitHub. In practice, you can:

• Understand a wrapper’s design in detail.

• Integrate the code directly into your own projects.

• Customize or fix the base files using vectorized versions of your own technical resources.

 

Turnkey Client

• Delivered in VCL so you can jump in right away, with a fully modifiable foundation—and an FMX version is coming soon to cover even more platforms.

• Whenever OpenAI rolls out a new tool (with v1/responses as THE standard for the agentic revolution), I’ll integrate it ASAP so you can test it on the fly.

 

This tool is designed as a hands-on educational lab, but it’s up to you to shape it however you like.

I’m all ears for your feedback and suggestions!

 

GitHub : https://github.com/MaxiDonkey/file2knowledge