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chore: pin CI deps on rhoai-3.3 to unblock flaky checks - #664
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kramaranya merged 1 commit intoJul 29, 2026
Merged
kramaranya merged 1 commit into
kramaranya merged 1 commit into
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Cap pyspark, haystack-ai, and ag2 to versions that still match the rhoai-3.3 CI/import surface, and ensure docs CI runs on requirements changes so these pins are exercised. Signed-off-by: Neri Carcasci <nericarcasci@gmail.com> Co-authored-by: Cursor <cursoragent@cursor.com>
kramaranya
merged commit Jul 29, 2026
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red-hat-data-services:rhoai-3.3
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Related Issues/PRs
Relates to CI noise on midstream CVE PRs such as #663 and #656 (failures are pre-existing on
rhoai-3.3, not caused by those CVE diffs)What changes are proposed in this pull request?
Pin three unpinned CI/test/docs dependencies that recently broke
rhoai-3.3PR checks via version mismatch, and make docs CI pick up requirement-file changes:pyspark<4.1.0inrequirements/test-requirements.txt,requirements/extra-ml-requirements.txt, andrequirements/doc-requirements.txt(matchesrhoai-3.4/ upstream). Unpinnedpyspark==4.2.0breaks genai Spark fixtures when emptyexpectations: {}become{expected_response: null}.haystack-ai>=2.0.0,<3inrequirements/doc-requirements.txtandrequirements/extra-ml-requirements.txt.haystack-ai==3.0.0removedOpenTelemetryTracer, whichmlflow.haystack.autologstill imports.ag2>=0.7.0,<1inrequirements/extra-ml-requirements.txt.ag2==1.0.0renamed the import path fromautogentoag2, breaking flavors collection (import autogen).requirements/**to.github/workflows/docs.ymlpath filters so docs/build CI runs when these pins change.How is this PR tested?
pyspark==4.0.4,ag2==0.14.0,haystack-ai==2.31.0import autogenworks underag2<1from haystack.tracing import OpenTelemetryTracerandmlflow.haystack.autologimport underhaystack-ai<34.2.0/1.0.0/3.0.0)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 notesIs this PR a critical bug fix or security fix that should go into the next patch release?
What is a minor/patch release?
Minor releases are expected to contain larger changes, such as new features and improvements. Non-critical bug fixes and doc updates can be included as well. By default, your PR should target the next minor release.
Patch releases are typically only performed when there has been a major regression or bug in the latest release. For the sake of stability, your PR should not be included in a patch release unless it is a critical fix, or if the risk level of your PR is exceedingly low.
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