As a next-generation AI agent tool, geminicli2api breaks new ground by enabling hybrid text and image processing capabilities. This functionality is realized through two types of API endpoints: in OpenAI compliant mode to support thefilesFields to upload images for use in native Gemini modepartsArrays receive multimedia content. Typical examples include uploading product images to generate marketing copy, or parsing medical images to generate diagnostic reports. In terms of technical implementation, the tool automatically encodes images into base64 and intelligently distributes them to different processing engines based on Content-Type headers. Test data shows that its multimodal processing speed is 3 times faster than the traditional serial solution, and the accuracy rate is improved by 22%.
This answer comes from the articlegeminicli2api: Proxy tool to convert Gemini CLI to OpenAI-compatible APIsThe
