During September 2025, Maskys enhanced the weaviate/weaviate-python-client by adding support for the jina-embeddings-v4 model, enabling users to access the latest embedding capabilities for both text and multimodal data. The work involved updating Python type aliases and configurations to incorporate the new model, while maintaining compatibility with previous v2 and v3 versions. Maskys focused on robust API integration and comprehensive testing to ensure forward compatibility and stability. By migrating test references and configurations to v4, Maskys reduced integration friction for customers and positioned the client for future updates in the embedding ecosystem, demonstrating depth in full stack Python development.