MLflow 2.11.5
2.11.5 (2026-09-23) MLflow 2.11.5 is a patch release. Features: [Model Registry / Models] Add opt-in support for routing Unity Catalog model registry artifact uploads and downloads through the Databricks SDK Files API ( #25986 , @tonycai96 )
Also shipped Sep 23, 2026Databricks in September 2026 →
New features and improvements in Copilot for JetBrains
GitHub Copilot for JetBrains 1.18.0 brings AI-assisted tool approvals, more control over agent conversations, and shared skills and instructions for your organization. You can also review plans with the Codex agent and manage MCP tools with persistent controls.
Non-deterministic aggregate functions are supported with dynamic table incremental refresh (General availability)
Non-deterministic aggregate functions such as approx count distinct , approx percentile , and approx top k are now supported with dynamic table incremental refresh in INCREMENTAL, AUTO, and ADAPTIVE refresh modes. For incremental refresh, these functions are supported only in the SELECT clause. any value remains unsupported.
More ways to request and configure Copilot code reviews
GitHub Copilot code review now offers additional personal configurations to an expanded set of Copilot plans and an enterprise-level default setting. These improvements are now generally available: A dedicated personal settings page for automatic review and your default review effort An enterprise-wide default review effort setting for organization-owned...
Node 20 is no longer available in GitHub Actions
This is the final notification that Node 20 is no longer available on GitHub Actions runners. Runners now use Node 24 for JavaScript actions. The temporary ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION opt-out is no longer available. If you maintain a JavaScript action, update its runs.using value to node24 and publish a new release as soon as possible.
Unlimited Vercel Blob stores on every plan
You can now create as many Vercel Blob stores as you need. The previous limits of 100 stores on Hobby, 500 on Pro, and 1,000 on Enterprise no longer apply. Blob store creation is now billed alongside other Blob Advanced Operations , including put() , copy() , and list() calls. On Pro that's $5.00 per million.
Plugin Change Approvals Show the Proposed Diff
Clicking a plugin change approval card now opens the proposed change in the Progress tab as a diff against the saved plugin, with a link to the plugin; after approval it shows exactly what was written. Single-file plugin edits preview the file directly.
More from MLflowEvery MLflow release →
MLflow 3.16.1
MLflow 3.16.1 is a patch release that includes bug fixes and documentation updates. Breaking changes: [Docs / Tracking] Remove the default basic-auth admin password shipped in basic_auth.ini ( GHSA-gq3w-7jj3-x7gr ) ( #25751 , @tanghaoji ) Features: [Evaluation] Add a timeout option to the @scorer decorator ( #25720 , @smoorjani ) [Evaluation] Propagate...
MLflow 3.17.0
MLflow 3.17.0 includes several major features and improvements. Major New Features Jev Decisions Across Evaluation, Gateway, and Tracing: Use TypeSafe models in built-in scorers and custom judges with typed Boolean or categorical feedback.
MLflow 3.16.0
MLflow 3.16.0 includes several major features and improvements Major New Features 🎨 Custom Trace Views : Design your own trace UI in plain English , describe the view you want and the MLflow Assistant builds it for you, laying out exactly the fields you care about with no config files or custom code.
MLflow 3.17.1
MLflow 3.17.1 is a patch release that contains some minor feature enhancements, bug fixes, and documentation updates. Features: [Docs / Evaluation] Support Decision API in make_judge() (#26578, @B-Step62) [Evaluation] Add mlflow.genai.databricks.review_queues for managing review queues on Databricks (#26414, @harupy) Bug fixes: [Tracing] Fix Claude Code...
MLflow 3.17.2
MLflow 3.17.2 is a patch release that contains a minor feature enhancement and bug fixes. Features: [Evaluation] Record dataset, scorer, and agent lineage on mlflow.genai.evaluate runs (#26543, @joshuawong-db) Bug fixes: [Tracking] Reseed sampler and forward batch settings on MlflowSparkStudy executors (#26714, @iyashk) [Tracking] Fix MlflowStorage marking...
MLflow 3.15.2
MLflow 3.15.2 is a patch release that includes several major features and improvements. Features: [Evaluation] Support immutable evaluation dataset versions ( #24845 , @danielseong1 ) [Evaluation] Add scorer_ensemble primitive for combining scorer results ( #24749 , @alkispoly-db ) Bug fixes: [Evaluation] Preserve base judge invocation flow in MemAlign...
MLflow 3.18.0
MLflow 3.18.0 helps you reuse agent expertise, find regressions before shipping, and monitor quality in production. Major New Features Automatic Issue Detection: Turn recurring agent failures into issues you can investigate and fix.
MLflow 3.15.1
MLflow 3.15.1 is a patch release that includes bug fixes and documentation updates. Bug fixes: [Model Registry] Skip env_pack on ARM client images ( #24762 , @qyc ) [Scoring / Tracking] Harden version parsing against missing/non-PEP440 versions on Databricks Serverless ( #24799 , @PattaraS ) Documentation updates: [Docs] Clarify scorer versioning...