During August 2025, this developer focused on integrating Gemini Embeddings into both the cloudwego/eino-ext and coze-dev/coze-studio repositories. They implemented a new embedding component in Go, establishing configuration and embedding logic to enable scalable generation of embeddings using Gemini models. Their work included backend development and API integration, with attention to consistent initialization and configuration across both repositories. By enhancing test coverage and providing clear environment variable examples, they improved CI reliability and facilitated smoother cross-team adoption. These contributions laid the technical foundation for downstream machine learning features such as improved search and similarity, leveraging cloud services and embedding models.