Releasesby GlyphMLflow 3.15.0
MLflow 3.15.0 includes several major features and improvements Major New Features 🧩 MCP Registry : A centralized catalog for registering, versioning, and sharing Model Context Protocol servers , with semantic-versioned configs, promotable aliases, tags, auto-discovered tools, and ready-made connection instructions for Claude Code and .mcp.json .
Also shipped Jul 31, 2026Databricks in July 2026 →
[In preview] Public Preview: Azure SQL updates for late-July
In late-July 2026, the following update and enhancement was made to Azure SQL: Regex-based dynamic data masking (DDM) extends the built-in DDM feature with pattern‑based masking to hide sensitive data like emails, phone numbers, and identifiers, centrally
Upcoming August 2026 model deprecations in GitHub Copilot
We will deprecate the following models across all GitHub Copilot experiences (including Copilot Chat, inline edits, ask and agent modes, and code completions), on September 1st, 2026: Model Deprecation date Suggested alternative Gemini 3.1 Pro 9-1-2026 Gemini 3.6 Flash Claude Opus 4.5 9-1-2026 Claude Opus 4.7, Claude Opus 4.8, or Claude Opus 5 Claude Opus...
Gemini 2.5 Pro and Gemini 3 Flash deprecated
As of today, July 31, 2026, we have deprecated the following models across all GitHub Copilot experiences (including Copilot Chat, inline edits, ask and agent modes, and code completions).
Enterprise teams model policy targeting in public preview
You can now take advantage of user-based model policy targeting for GitHub Enterprise customers with Copilot Business or Copilot Enterprise licenses. This feature empowers AI administrators to set a baseline of models for the entire enterprise and then grant additional models to specific enterprise teams.
DeepSeek V4 Flash now runs updated weights on AI Gateway
DeepSeek V4 Flash now runs on updated weights by default on AI Gateway, with notably stronger agentic capabilities. On Terminal-Bench, it scores 82.7, up 25.8 points from 56.9 in the April preview. Requests to deepseek/deepseek-v4-flash pick up the new weights automatically, with no change to the model ID or your code.
Expanded search for workflow runs in Vercel Observability
The runs list for Vercel Workflows in Observability now has structured search, giving you more ways to find and investigate runs. Structured filters: Filter runs by workflow, environment, deployment ID, region , or any custom run attribute. Paste a run ID to pull up that exact run.
More from MLflowEvery MLflow release →
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...
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 3.16.0
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 3.16.1
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 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 )
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 3.17.1
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...