Hi there,
First off, thanks for sharing this tool! I’ve been looking through the repository and I'm really interested in the implementation.
I noticed that the setup requires providing a personal API key (Gemini/OpenAI). As I'm sensitive about where my keys and data are routed, I was curious about the underlying architecture:
Is the tool designed as a specialized wrapper/orchestrator for these specific LLMs, or is there an intermediate processing layer/custom logic handling the data before it hits the provider's API?
I'm asking primarily to understand the data flow and the 'value-add' of the logic under the hood. Looking forward to hearing more about how you've structured this!
Best regards, rodrigocnascimento
Hi there,
First off, thanks for sharing this tool! I’ve been looking through the repository and I'm really interested in the implementation.
I noticed that the setup requires providing a personal API key (Gemini/OpenAI). As I'm sensitive about where my keys and data are routed, I was curious about the underlying architecture:
Is the tool designed as a specialized wrapper/orchestrator for these specific LLMs, or is there an intermediate processing layer/custom logic handling the data before it hits the provider's API?
I'm asking primarily to understand the data flow and the 'value-add' of the logic under the hood. Looking forward to hearing more about how you've structured this!
Best regards, rodrigocnascimento