mlflow/mlflow
Mlflow
Features
- Agent Evaluation Tools - Analyze agent performance by defining test datasets and custom scorers to assess both final outputs and intermediate tool usage.
- AI Gateways - Manage access to external AI providers by configuring API keys and defining model endpoints through a web interface.
- Experiment Tracking - Defines unique experiment names, specifies artifact storage locations, and attaches metadata tags to track development progress.
- Experiment Tracking Servers - Start a local tracking server with a single command to manage experiments, model artifacts, and metadata for machine learning workflows.