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1,990 this month · 171 companies

MLflow 3.17.1

Update11 days agoUnverifiedAdded Oct 17, 2026

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...

Topics: AI agents, LLMs, Observability, Developer tools, Coding agents

Databricks's release notes

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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.

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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 )

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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...

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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.

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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...

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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...

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MLflow 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 on Oct 13, 2026

Databricks in October 2026
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What's included:

- Three training methods: Supervised fine-tuning (SFT) , direct preference optimization (DPO) , and reinforcement learning with group relative policy optimization (GRPO) . Each method trains a low-rank adapter (LoRA) or the full model weights. Custom loss functions : Train with any objective you compute in PyTorch from the model's log-probabilities.