MLflow

MLflow 3.15.2 is a patch release introducing support for immutable evaluation dataset versions and a new scorer_ensemble primitive for combining scorer results. It also includes several bug fixes related to evaluation, tracking, and build processes.

MLflow 3.15.1 is a patch release that includes bug fixes for the Model Registry and Scoring/Tracking components, along with documentation updates.

MLflow 3.15.0 introduces significant new features including the MCP Registry, enhanced MLflow Assistant with multi-LLM support, sharable table views, and proxy-less artifact transfers. It also brings numerous bug fixes and improvements across tracing, gateway, model registry, and UI components.

MLflow 3.14.0 introduces major GenAI features like one-command agent setup, durable tracing for Claude Code, Review Queues, and an LLM Playground. This release also updates default serialization formats for several model flavors, resulting in breaking changes.

MLflow 3.13.0 introduces a major overhaul with a full Role-Based Access Control (RBAC) system and Admin UI, alongside new features for trace archival and enhanced AI Gateway/Assistant support. This release contains breaking changes related to the permission APIs and the removal of MLServer as a serving backend.

MLflow 3.13.0rc0 introduces a major overhaul of Role-Based Access Control (RBAC) with a new Admin UI, integrates several new coding agents via plugins in the AI Gateway, and provides a production-ready Helm chart for Kubernetes deployment.

Several Release Candidate (RC) TypeScript packages have been promoted to stable versions in this release.

MLflow 3.12.0 introduces major features like multimodal tracing attachments and AI Gateway guardrails, alongside tracing support for Codex, Gemini, and Qwen coding agents. This release also includes numerous bug fixes, particularly around tracing and UI responsiveness.

MLflow 3.12.0rc0 introduces major enhancements for agent development, including automatic tracing plugins for various AI assistants, AI Gateway Guardrails, and support for multimodal trace attachments. A new `mlflow.diffusers` flavor is also available for diffusion models.

This is a release candidate for the @mlflow/vercel TypeScript package, version 0.2.0.

This release corresponds to the release tag for @mlflow/vercel version 0.2.0 RC0.

This release tag marks Release Candidate 0 (RC0) for version 0.2.0 of @mlflow/vercel.

MLflow 3.11.1 introduces major features like AI-powered issue detection in traces, comprehensive AI Gateway budget controls, and a new Trace Graph View. This release also enhances security and reproducibility with pickle-free serialization and native UV dependency support.

This release introduces per-provider model catalog files that are updated weekly via CI.

This release removes third-party dependencies from evaluation and AI Gateway features by implementing built-in routing logic.

MLflow 3.11.0rc0 introduces major features like AI-powered issue detection, Gateway budget controls, and a Trace Graph View. This release also enhances security with pickle-free model serialization and adds native OpenTelemetry GenAI convention support.

MLflow 3.10.1 is a patch release focusing on numerous UI bug fixes, improvements to tracing and evaluation logging, and documentation updates.

MLflow 3.10.0 introduces major features like organization support for multi-workspace tracking, advanced multi-turn conversation evaluation, and automatic LLM trace cost tracking. The release also includes a significant navigation bar redesign and a new one-click demo experiment.

MLflow 3.10.0rc0 introduces major features like Organization Support for multi-workspace tracking, enhanced conversation simulation, and automatic LLM cost tracking. This release candidate also includes a new demo command and navigation redesign for better usability.

MLflow 3.9.0 introduces significant enhancements to GenAI capabilities, including the MLflow Assistant chatbot, Trace Overview Dashboard, and a revamped AI Gateway integrated into the tracking server. This release also focuses heavily on evaluation tooling with new LLM judges, judge builders, and distributed tracing support.

MLflow 3.9.0rc0 is a pre-release introducing significant GenAI features like the MLflow Assistant, Trace Overview Dashboard, integrated AI Gateway, and LLM Judge capabilities.

MLflow 3.8.1 primarily delivers several bug fixes across tracking, models, prompts, and UI components, along with minor documentation updates.

MLflow 3.8.0 introduces major new capabilities such as prompt model configuration, in‑progress trace display, DeepEval/RAGAS judges integration, and two new conversational scorers, while also adding numerous tracking, tracing, and evaluation enhancements and fixing a wide range of bugs.

MLflow 3.8.0rc0 introduces prompt model configuration, in‑progress trace display, DeepEval judges integration, and two new conversational scorers, with no breaking changes.

MLflow 3.7.0 adds major GenAI observability features such as an Experiment Prompts UI, multi-turn evaluation, trace comparison, and new auto-tracing SDKs, while introducing breaking changes like SQLite becoming the default tracking backend and removal of deprecated model flavors. It also includes numerous bug fixes and enhancements across tracking, evaluation, tracing, and UI components.