MLflow GenAI: Ship High-quality GenAI, Fast
MLflow GenAI is an open-source, all-in-one integrated platform that helps enhance your Agent & GenAI applications with end-to-end observability, evaluations, AI gateway, prompt management & optimization and tracking.
Open Source
Join thousands of teams building GenAI with MLflow - with 20K+ GitHub Stars and 50M+ monthly downloads. As part of the Linux Foundation, MLflow ensures your AI infrastructure remains open and vendor-neutral.
OpenTelemetry
MLflow Tracing is fully compatible with OpenTelemetry, making it free from vendor lock-in and easy to integrate with your existing observability stack.
All-in-one Platform
Manage the complete GenAI journey from experimentation to production. Track prompts, evaluate quality, deploy models, and monitor performance in one platform.
Complete Observability
See inside every AI decision with comprehensive tracing that captures prompts, retrievals, tool calls, and model responses. Debug complex workflows with confidence.
Evaluation & Monitoring
Stop manual testing with LLM judges and custom metrics. Systematically evaluate every change to ensure consistent improvements in your AI applications.
Framework Integration
Use any GenAI framework or model provider. With 30+ integrations and extensible APIs, MLflow adapts to your tech stack, not the other way around.
Observability
Debug and iterate on GenAI applications using MLflow's tracing, which captures your app's entire execution, including prompts, retrievals and tool calls. MLflow's open-source, OpenTelemetry-compatible tracing SDK helps avoid vendor lock-in.
Evaluations
Accurately measure free-form language with LLM judges by utilizing LLM-as-a-judge metrics, mimicking human expertise, to assess and enhance GenAI quality. Access pre-built judges for common metrics like hallucination or relevance, or develop custom judges tailored to your business needs and expert insights.
Prompt Management & Optimization
Version, compare, iterate on, and discover prompt templates directly through the MLflow UI. Reuse prompts across multiple versions of your agent or application code, and view rich lineage identifying which versions are using each prompt.
Running Anywhere
MLflow can be used in a variety of environments, including your local environment, on-premises clusters, cloud platforms, and managed services. Being an open-source platform, MLflow is vendor-neutral; no matter where you are doing machine learning, you have access to the MLflow's core capabilities sets such as tracking, evaluation, observability, and more.
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Community
Connect with fellow builders, ask questions, and stay up to date — join our vibrant MLflow community on Slack, GitHub, LinkedIn, and more!
Learn how to get involved and discover all our channels on the Community Page.