feat: add PrimingGroup and MLPipeline SDK methods#420
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brandon-wada wants to merge 3 commits intomainfrom
Open
feat: add PrimingGroup and MLPipeline SDK methods#420brandon-wada wants to merge 3 commits intomainfrom
brandon-wada wants to merge 3 commits intomainfrom
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New Groundlight client methods: - list_detector_pipelines(detector) -> List[MLPipeline] - list_priming_groups() -> List[PrimingGroup] - create_priming_group(name, source_ml_pipeline_id, canonical_query, disable_shadow_pipelines) -> PrimingGroup - get_priming_group(priming_group_id) -> PrimingGroup - delete_priming_group(priming_group_id) New pydantic models in generated/model.py: MLPipeline, PrimingGroup, PaginatedMLPipelineList, PaginatedPrimingGroupList. PrimingGroups let users seed new detectors with a pre-trained model binary so they skip the cold-start period. Detectors created with priming_group_id (already supported in create_detector) will start with the primed model active.
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Summary
Adds SDK methods for the new PrimingGroup public API (companion to axon-groundlight/zuuul#6180).
list_detector_pipelines(detector)— list all MLPipelines for a detectorcreate_priming_group(name, source_ml_pipeline_id, ...)— create a PrimingGroup seeded from an existing trained modellist_priming_groups()— list all priming groups owned by this accountget_priming_group(priming_group_id)— retrieve by IDdelete_priming_group(priming_group_id)— soft-deleteNew pydantic models:
MLPipeline,PrimingGroupingenerated/model.py.Usage
```python
gl = Groundlight()
pipelines = gl.list_detector_pipelines(detector)
active = next(p for p in pipelines if p.is_active_pipeline and p.cached_vizlogic_key)
pg = gl.create_priming_group(
name="door-detector-primer",
source_ml_pipeline_id=active.id,
canonical_query="Is the door open?",
disable_shadow_pipelines=True,
)
new_detector = gl.create_detector(
name="new-door-detector",
query="Is the door open?",
priming_group_id=pg.id,
)
```