Add missing authentication for fastapi routes#20920
Merged
TomeHirata merged 2 commits intomlflow:masterfrom Feb 18, 2026
Merged
Add missing authentication for fastapi routes#20920TomeHirata merged 2 commits intomlflow:masterfrom
TomeHirata merged 2 commits intomlflow:masterfrom
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Signed-off-by: Tomu Hirata <tomu.hirata@gmail.com>
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Install mlflow from this PRFor Databricks, use the following command: |
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Pull request overview
Adds missing authentication/authorization enforcement for FastAPI-served routes (bypassing Flask’s before_request) to address a reported security gap.
Changes:
- Adds FastAPI permission validators for OTel trace ingestion (
/v1/traces) and requires authentication for Jobs and Assistant AJAX endpoints. - Refactors experiment-permission lookup into a reusable helper for both Flask and FastAPI validation paths.
- Adds integration tests asserting unauthenticated access is denied and that OTel trace writes require experiment update permission.
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated 2 comments.
| File | Description |
|---|---|
mlflow/server/auth/__init__.py |
Adds FastAPI route validators (OTel, Jobs, Assistant) and refactors experiment permission retrieval for reuse. |
tests/server/auth/test_auth.py |
Adds FastAPI auth tests for OTel ingestion, Jobs search, and Assistant chat endpoints. |
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Documentation preview for e791569 is available at: More info
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daniellok-db
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Feb 20, 2026
Signed-off-by: Tomu Hirata <tomu.hirata@gmail.com>
daniellok-db
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Feb 20, 2026
Signed-off-by: Tomu Hirata <tomu.hirata@gmail.com>
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Related Issues/PRs
https://huntr.com/bounties/5aeff5f0-49c7-4180-b5cb-c9a046f16756
What changes are proposed in this pull request?
As titled
How is this PR tested?
Does this PR require documentation update?
Does this PR require updating the MLflow Skills repository?
Release Notes
Is this a user-facing change?
What component(s), interfaces, languages, and integrations does this PR affect?
Components
area/tracking: Tracking Service, tracking client APIs, autologgingarea/models: MLmodel format, model serialization/deserialization, flavorsarea/model-registry: Model Registry service, APIs, and the fluent client calls for Model Registryarea/scoring: MLflow Model server, model deployment tools, Spark UDFsarea/evaluation: MLflow model evaluation features, evaluation metrics, and evaluation workflowsarea/gateway: MLflow AI Gateway client APIs, server, and third-party integrationsarea/prompts: MLflow prompt engineering features, prompt templates, and prompt managementarea/tracing: MLflow Tracing features, tracing APIs, and LLM tracing functionalityarea/projects: MLproject format, project running backendsarea/uiux: Front-end, user experience, plotting, JavaScript, JavaScript dev serverarea/build: Build and test infrastructure for MLflowarea/docs: MLflow documentation pagesHow should the PR be classified in the release notes? Choose one:
rn/none- No description will be included. The PR will be mentioned only by the PR number in the "Small Bugfixes and Documentation Updates" sectionrn/breaking-change- The PR will be mentioned in the "Breaking Changes" sectionrn/feature- A new user-facing feature worth mentioning in the release notesrn/bug-fix- A user-facing bug fix worth mentioning in the release notesrn/documentation- A user-facing documentation change worth mentioning in the release notesShould this PR be included in the next patch release?
Yesshould be selected for bug fixes, documentation updates, and other small changes.Noshould be selected for new features and larger changes. If you're unsure about the release classification of this PR, leave this unchecked to let the maintainers decide.What is a minor/patch release?
Bug fixes, doc updates and new features usually go into minor releases.
Bug fixes and doc updates usually go into patch releases.