Enables AI agents to access observability and evaluation data, including run history, span traces, LLM-as-judge evaluation results, and regression reports.
Enables AI assistants to interact with MLflow experiments, runs, and registered models. Supports browsing experiments, retrieving run details with metrics and parameters, and querying the model registry through natural language.
Enables LLM agents to query and analyze ActivityWatch time tracking data, including window activity, web browsing, and category management with natural language time periods and automatic data aggregation.