Contributed a major feature to the langgenius/dify-official-plugins repository by enabling Gemini and OpenAI flex inference, including support for the GPT-5.5 model. Focused on improving model interoperability and reliability, the work involved wrapping embedding batch items as separate UserContent objects to maintain batch boundaries and prevent request merging issues with google-genai. Enhanced robustness by adding request-shape coverage for both text and multimodal batches, and updated versioning to support clearer integration. The implementation, primarily in Python, leveraged skills in AI development, API development, and machine learning to deliver scalable, reliable model inference with minimal risk to existing workflows.