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Include reserved_ip_ranges to airflow.providers.google.cloud.operators.vertex_ai.pipeline_job.RunPipelineJobTrigger #62733
Description
Description
Vertex AI Pipeline job submit method has a parameter that the Operator has not mapped yet.
The parameter is named reserved_ip_ranges and it should be included in the PipelieJobHook Class.
self._pipeline_job.submit(
service_account=service_account,
network=network,
create_request_timeout=create_request_timeout,
experiment=experiment,
reserved_ip_ranges=reserved_ip_ranges,
)Use case/motivation
Currently we don't have a way to set this property when using the RunPipelineJobOperator.
Related issues
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Activity
boring-cyborg commentedon Mar 2, 2026
Thanks for opening your first issue here! Be sure to follow the issue template! If you are willing to raise PR to address this issue please do so, no need to wait for approval.
LE0-Lin commentedon Sep 5, 2026
Hi, I'd like to pick this up now that the two previous PRs (#62739 and #66625) have been closed without an active replacement.
I'll keep the change focused on propagating
reserved_ip_rangesthroughRunPipelineJobOperatorand bothPipelineJobHooksubmission paths. I will also cover the compatibility behavior when it is unset, preserve an explicitly empty list, and add focused operator and hook regression tests.Drafted-by: OpenAI Codex (no human review before posting)