mlflow 3.13.0rc0

v3.13.0rc0

on Python PyPI

We're excited to announce MLflow 3.13.0rc0, which deepens agent observability, tightens permissions, and broadens deployment options:

Major New Features:

• RBAC + Admin UI: Major overhaul of MLflow's Role-Based Access Control — legacy per-resource permission tables collapsed into role_permissions, unified per-user permission APIs under /mlflow/users/permissions/*, workspace USE permission lets users create experiments and registered models, default roles are seeded on workspace creation, prompt is promoted to a first-class RBAC resource_type, and a new 4-page Admin UI (account widget, /account page, Platform Admin pages, backend auth endpoints) opens to workspace managers scoped per their workspace. (#22855, #22857, #22859, #22928, #22929, #22941, #22973, #23086, #23247, #23248, #23337, #23379, @PattaraS)

• Coding-Agent Tracing as Plugins: Claude Code, OpenClaw, Ollama, and OpenAI Codex are now wired into the AI Gateway as first-class assistant providers, plus a Claude Code TypeScript plugin with a setup wizard and settings.local.json support. The legacy Python autolog hook for mlflow autolog claude is replaced by the new official plugin, and a coding-agent endpoint creation flow is now available directly in the AI Gateway UI. (#20414, #22098, #22566, #22717, #23218, #23285, #23339, #23430, #23517, @B-Step62, @joelrobin18, @Gkrumbach07, @SuperSonnix71, @TomeHirata)

• Helm Charts for Kubernetes Deployment: First-class Helm chart for deploying MLflow to Kubernetes clusters — production-ready configuration, ingress, persistence, and appVersion wired to the released MLflow image. Get from helm install to a running tracking server without writing your own manifests. (#21973, @WeichenXu123)

• mlflow.genai.test_agent for Automated Agent Stress-Testing: New API for stress-testing GenAI agents — generate adversarial inputs, replay them through your agent, and review the resulting traces in MLflow. Wires into the existing evaluation flow and assessment APIs. (#22990, @serena-ruan)

• OpenTelemetry Span Links: Tracing now supports the OpenTelemetry Link entity via LiveSpan.add_link(), letting you connect causally related spans across traces. (#22797, @khaledsulayman)

• Database Replica Routing: The SQL tracking store now supports reader/writer instance routing for database replicas, so read-heavy MLflow deployments can scale horizontally without overloading the primary. (#22910, @ravidarbha)

Stay tuned for the full release, which will include even more features and bug fixes.

To try out this release candidate, please run:

pip install mlflow==3.13.0rc0