
Jack Chen contributed to the comet-ml/opik repository by developing features that enhance large language model interoperability and streamline API integration. He implemented a pluggable pathway for custom language model integration, allowing users to connect OpenAI-compatible APIs and evaluate metrics such as hallucination across different LLMs. Using Python and TypeScript, Jack also produced comprehensive documentation for the Trace API, clarifying how to retrieve and update trace content and attributes. In a separate release, he ensured compatibility with Google’s Gemini API v1beta by updating model references and cleaning up deprecated models, improving catalog stability and reducing maintenance complexity for the team.
March 2026 summary for comet-ml/opik: Delivered Gemini API v1beta compatibility by removing the -exp suffix and cleaning up deprecated models. Updated tests and validated integration with Google Gemini API to ensure gemini-2.0-flash works under v1beta. Result: reduced API errors, simplified model catalog maintenance, and clearer path for future API alignments.
March 2026 summary for comet-ml/opik: Delivered Gemini API v1beta compatibility by removing the -exp suffix and cleaning up deprecated models. Updated tests and validated integration with Google Gemini API to ensure gemini-2.0-flash works under v1beta. Result: reduced API errors, simplified model catalog maintenance, and clearer path for future API alignments.
June 2025: Delivered foundational enhancements in comet-ml/opik that broaden LLM interoperability and strengthen traceability. Implemented a pluggable Custom Language Model integration pathway with a guided example and interfaces to integrate OpenAI-compatible APIs, enabling evaluation metrics such as Hallucination with any LLM. Published comprehensive Trace API documentation covering retrieval and updates of trace content (get_trace_content, Opik.trace, Trace.update) and detailing updatable trace attributes. These changes reduce integration friction for new models and improve trace visibility for audits and performance reviews. No major bugs fixed this month.
June 2025: Delivered foundational enhancements in comet-ml/opik that broaden LLM interoperability and strengthen traceability. Implemented a pluggable Custom Language Model integration pathway with a guided example and interfaces to integrate OpenAI-compatible APIs, enabling evaluation metrics such as Hallucination with any LLM. Published comprehensive Trace API documentation covering retrieval and updates of trace content (get_trace_content, Opik.trace, Trace.update) and detailing updatable trace attributes. These changes reduce integration friction for new models and improve trace visibility for audits and performance reviews. No major bugs fixed this month.

Overview of all repositories you've contributed to across your timeline