# MLflow v3.13.0rc0

- Product: MLflow (https://whatsnew.fyi/product/mlflow)
- Vendor: LF AI & Data
- Date: 2026-05-22
- Version: v3.13.0rc0
- Original notes: https://github.com/mlflow/mlflow/releases/tag/v3.13.0rc0
- Permalink: https://whatsnew.fyi/product/mlflow/releases/v3.13.0rc0
- Labels: Pre-release

What's New is an index, not a publisher: every entry below links to the vendor's own release notes, which are the authoritative source. Entries are labelled where they are hand-curated sample data, pre-releases, or drawn from a secondary source such as a developer blog.

Reuse: the summaries, labels and curation here are © What's New. Quote freely with attribution and a link back; wholesale republication of the corpus is not permitted — terms: https://whatsnew.fyi/terms. The vendors' own release notes remain their publishers'.

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- **added** — Major overhaul of Role-Based Access Control with unified permission APIs, workspace USE permission for creating experiments and registered models, prompt promoted to first-class RBAC resource_type, and new Admin UI with account widget and Platform Admin pages
- **added** — Claude Code, OpenClaw, Ollama, and OpenAI Codex integrated as first-class assistant providers in the AI Gateway with Claude Code TypeScript plugin and setup wizard
- **added** — End-to-end trace archival across the tracking stack with archival configuration models, OTLP and artifact helpers, and archive-aware retrieval fallback
- **added** — Helm charts for deploying MLflow to Kubernetes clusters with production-ready configuration, ingress, and persistence
- **added** — mlflow.genai.test_agent API for automated agent stress-testing with adversarial input generation and trace review
- **added** — OpenTelemetry Span Links support via LiveSpan.add_link() to connect causally related spans across traces
- **added** — Database replica routing in SQL tracking store for reader/writer instance routing to enable horizontal scaling
- **changed** — Legacy per-resource permission tables collapsed into unified role_permissions table

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)

- **Trace Archival**: End-to-end trace archival across the tracking stack. Includes archival configuration models, OTLP and artifact helpers, SQLAlchemy archival passes, archive-aware retrieval fallback, plus workspace/experiment/server-level archival settings in the UI. Read archived traces back seamlessly. (#23359, @mprahl)

- **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`