Releasesby GlyphMLflow 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...
Also shipped Aug 26, 2026Databricks in August 2026 →
You can now view real-time logs for your Python UDFs in Cloud Logging
You can now view real-time logs for your Python UDFs in Cloud Logging. This feature is generally available .
Cortex Extension references in agent skills (General availability)
Referencing a Cortex Extension from an agent skill is now generally available. Set the skill source type to CORTEX_EXTENSION and path to the extension's fully qualified name, and Snowflake expands the reference into the extension's member skills at request time, so you don't list each skill individually.
Cortex Agents Coding Agent (General availability)
The Cortex Agents Coding Agent is now generally available. Add the code_toolset_all tool type to a Cortex Agent, and Snowflake provisions and manages a sandbox backed by the same runtime that powers Snowflake CoCo: bash, file read/write/edit, grep, glob, web search, SQL execution, and skills.
Organization user types (General availability)
With this release, you can specify whether an organization user represents a person or a service. Set the TYPE property to SERVICE for a service or application that interacts with Snowflake without human interaction. If you don't specify a type, the organization user is a PERSON user, which matches the previous behavior.
Semantic Studio (Preview)
Semantic Studio is now available in public preview for all accounts. Semantic Studio is the authoring environment for semantic views in Workspaces, combining conversational authoring with CoCo, direct YAML editing, and deployment to the live Snowflake object in a single surface.
Knowledge Catalog support for importing metadata from dbt Core and MetricFlow is available in Preview
Knowledge Catalog support for importing metadata from dbt Core and MetricFlow is available in Preview . You can use the gcloud alpha dataplex dbt metadata-jobs command to extract and import technical, semantic (MetricFlow), operational, data quality, and lineage metadata from dbt Core artifacts into Knowledge Catalog.
More from MLflowEvery MLflow release →
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 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 3.15.0
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 .
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...