Releasesby GlyphMLflow 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.
Also shipped Nov 4, 2026Databricks in November 2026 →
[Launched] Generally Available: Azure Database for PostgreSQL stable REST API version 2026-10-01
The Azure Database for PostgreSQL Flexible Server REST API version 2026-10-01 is now generally available, introducing new capabilities for maintenance, immutable backups, and encryption.
Analytics API (Public preview): report on the health of the data behind your agents, from your AI tool
The Monte Carlo Analytics API is now in public preview, allowing users to query data health, alert status, and cost metrics directly from AI tools via the Monte Carlo MCP server.
Twice the included embedding tokens through December 31
Pinecone is doubling the included monthly embedding tokens for Starter and Builder organizations through December 31, 2026.
Gemini Enterprise: Switch between teams in the mobile app
The Gemini Enterprise mobile app now supports switching between multiple teams without re-authentication, and allows renaming or removing teams from the list.
Compare AI agent changes with Online Experiments in Agent Observability
Datadog Online Experiments allows engineers to test AI agent changes against production traffic. It enables comparison of response quality, cost, latency, and error rates.
Postmortems End of Life Completed
The Postmortems feature has been retired in favor of the upgraded Post-Incident Reviews in the PagerDuty web UI.
More from MLflowEvery MLflow release →
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 3.17.1
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 3.17.0
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 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 3.16.1
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 3.16.0
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 3.15.2
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 3.15.1
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...