June 2026 performance summary focusing on observability, data ingestion robustness, and scalable data workflows across two repositories: mlflow/mlflow and unslothai/unsloth. Delivered run-scoped tracing enhancements, robust content parsing, and streaming data support for Hugging Face datasets in Studio. These changes improve traceability, training data handling at scale, and overall product reliability, enabling faster experimentation and better operational insight.

June 2025: Delivered token usage tracking for LlamaIndex integrations in MLflow tracing. Implemented instrumentation to log input, output, and total token counts for LLM calls within LlamaIndex workflows, enabling visibility into token consumption and cost implications. Updated documentation and tests to reflect the new capability and ensure reliable telemetry. This work improves observability for MLflow users integrating LlamaIndex, supporting better resource planning and model cost management.