Delphi and LLM

[Maxidonkey 6]

Hi everyone,

For more than six months, I’ve been developing turnkey solutions for the Delphi developer community in the form of API wrappers that harness the full range of models and features offered by leading providers (OpenAI, Deepseek, Anthropic, Gemini, MistralAI, Groq Cloud, Hugging Face, and Stability AI). Each of these libraries supports both synchronous and asynchronous workflows, and some even offer parallel execution to optimize performance.

In addition, I’ve published two projects demonstrating the use of the Promise pattern to orchestrate asynchronous requests (notably with OpenAI, but also compatible with other wrappers), as well as a pipeline-based project that simplifies the processing chain for model calls. Coming soon, I will introduce a module dedicated to OpenAI’s new file_search feature (endpoint v1/response), which, thanks to an expanded semantic surface, enables querying vector stores with unprecedented precision and temporarily enriches models without the need for fine-tuning.

 

f you’re new to AI integration or looking to accelerate your development, feel free to check out my projects on GitHub. Please note that I only provide the entry point to my GitHub page, from which you can navigate to the repositories that interest you.

Additionally, all of these tools are available via GetIt. 

 

If you’d like me to share direct links to each repository, I can do so in this thread. Your feedback is welcome and will be incredibly helpful in improving these tools.

https://github.com/MaxiDonkey