Expose priming group

generated/docs/DetectorCreationInputRequest.md

@@ -14,6 +14,7 @@ Name | Type | Description | Notes
 **metadata** | **str** | Base64-encoded metadata for the detector. This should be a JSON object with string keys. The size after encoding should not exceed 1362 bytes, corresponding to 1KiB before encoding. | [optional] 
 **mode** | **bool, date, datetime, dict, float, int, list, str, none_type** | Mode in which this detector will work.  * `BINARY` - BINARY * `COUNT` - COUNT * `MULTI_CLASS` - MULTI_CLASS * `TEXT` - TEXT * `BOUNDING_BOX` - BOUNDING_BOX | [optional] 
 **mode_configuration** | **bool, date, datetime, dict, float, int, list, str, none_type** |  | [optional] 
+**priming_group_id** | **str, none_type** | ID of an existing PrimingGroup to associate with this detector (optional). | [optional] 
 **any string name** | **bool, date, datetime, dict, float, int, list, str, none_type** | any string name can be used but the value must be the correct type | [optional]
 
 [[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)

generated/docs/DetectorsApi.md

@@ -62,6 +62,7 @@ with groundlight_openapi_client.ApiClient(configuration) as api_client:
         metadata="metadata_example",
         mode=None,
         mode_configuration=None,
+        priming_group_id="priming_group_id_example",
     ) # DetectorCreationInputRequest | 
 
     # example passing only required values which don't have defaults set

generated/groundlight_openapi_client/model/detector_creation_input_request.py

@@ -97,6 +97,10 @@ class DetectorCreationInputRequest(ModelNormal):
             "max_length": 1362,
             "min_length": 1,
         },
+        ("priming_group_id",): {
+            "max_length": 44,
+            "min_length": 1,
+        },
     }
 
     @cached_property
@@ -164,6 +168,10 @@ def openapi_types():
                 str,
                 none_type,
             ),  # noqa: E501
+            "priming_group_id": (
+                str,
+                none_type,
+            ),  # noqa: E501
         }
 
     @cached_property
@@ -180,6 +188,7 @@ def discriminator():
         "metadata": "metadata",  # noqa: E501
         "mode": "mode",  # noqa: E501
         "mode_configuration": "mode_configuration",  # noqa: E501
+        "priming_group_id": "priming_group_id",  # noqa: E501
     }
 
     read_only_vars = {}
@@ -233,6 +242,7 @@ def _from_openapi_data(cls, name, query, *args, **kwargs):  # noqa: E501
             metadata (str): Base64-encoded metadata for the detector. This should be a JSON object with string keys. The size after encoding should not exceed 1362 bytes, corresponding to 1KiB before encoding.. [optional]  # noqa: E501
             mode (bool, date, datetime, dict, float, int, list, str, none_type): Mode in which this detector will work.  * `BINARY` - BINARY * `COUNT` - COUNT * `MULTI_CLASS` - MULTI_CLASS * `TEXT` - TEXT * `BOUNDING_BOX` - BOUNDING_BOX. [optional]  # noqa: E501
             mode_configuration (bool, date, datetime, dict, float, int, list, str, none_type): [optional]  # noqa: E501
+            priming_group_id (str, none_type): ID of an existing PrimingGroup to associate with this detector (optional).. [optional]  # noqa: E501
         """
 
         _check_type = kwargs.pop("_check_type", True)
@@ -330,6 +340,7 @@ def __init__(self, name, query, *args, **kwargs):  # noqa: E501
             metadata (str): Base64-encoded metadata for the detector. This should be a JSON object with string keys. The size after encoding should not exceed 1362 bytes, corresponding to 1KiB before encoding.. [optional]  # noqa: E501
             mode (bool, date, datetime, dict, float, int, list, str, none_type): Mode in which this detector will work.  * `BINARY` - BINARY * `COUNT` - COUNT * `MULTI_CLASS` - MULTI_CLASS * `TEXT` - TEXT * `BOUNDING_BOX` - BOUNDING_BOX. [optional]  # noqa: E501
             mode_configuration (bool, date, datetime, dict, float, int, list, str, none_type): [optional]  # noqa: E501
+            priming_group_id (str, none_type): ID of an existing PrimingGroup to associate with this detector (optional).. [optional]  # noqa: E501
         """
 
         _check_type = kwargs.pop("_check_type", True)

generated/model.py

@@ -1,6 +1,6 @@
 # generated by datamodel-codegen:
 #   filename:  public-api.yaml
-#   timestamp: 2026-01-13T18:34:24+00:00
+#   timestamp: 2026-03-10T18:06:07+00:00
 
 from __future__ import annotations
 
@@ -429,6 +429,9 @@ class DetectorCreationInputRequest(BaseModel):
     mode_configuration: Optional[
         Union[CountModeConfiguration, MultiClassModeConfiguration, TextModeConfiguration, BoundingBoxModeConfiguration]
     ] = None
+    priming_group_id: Optional[constr(min_length=1, max_length=44)] = Field(
+        None, description="ID of an existing PrimingGroup to associate with this detector (optional)."
+    )
 
 
 class ImageQuery(BaseModel):

spec/public-api.yaml

@@ -1084,6 +1084,13 @@ components:
           - $ref: '#/components/schemas/TextModeConfiguration'
           - $ref: '#/components/schemas/BoundingBoxModeConfiguration'
           nullable: true
+        priming_group_id:
+          type: string
+          nullable: true
+          minLength: 1
+          description: ID of an existing PrimingGroup to associate with this detector
+            (optional).
+          maxLength: 44
       required:
       - name
       - query

src/groundlight/client.py

@@ -352,6 +352,7 @@ def _prep_create_detector(  # noqa: PLR0913 # pylint: disable=too-many-arguments
         patience_time: Optional[float] = None,
         pipeline_config: Optional[str] = None,
         metadata: Union[dict, str, None] = None,
+        priming_group_id: Optional[str] = None,
     ) -> Detector:
         """
         A helper function to prepare the input for creating a detector. Individual create_detector
@@ -372,6 +373,8 @@ def _prep_create_detector(  # noqa: PLR0913 # pylint: disable=too-many-arguments
             patience_time = float(patience_time)
         if patience_time:
             detector_creation_input.patience_time = patience_time
+        if priming_group_id is not None:
+            detector_creation_input.priming_group_id = priming_group_id
         return detector_creation_input
 
     def create_detector(  # noqa: PLR0913
@@ -386,6 +389,7 @@ def create_detector(  # noqa: PLR0913
         pipeline_config: Optional[str] = None,
         metadata: Union[dict, str, None] = None,
         class_names: Optional[Union[List[str], str]] = None,
+        priming_group_id: Optional[str] = None,
     ) -> Detector:
         """
         Create a new Detector with a given name and query.
@@ -443,6 +447,7 @@ def create_detector(  # noqa: PLR0913
                         metadata later by calling `get_detector()`.
         :param class_names: The name or names of the class to use for the detector. Only used for multi-class
                         and counting detectors.
+        :param priming_group_id: Optional ID of an existing PrimingGroup to associate with this detector.
 
         :return: The created Detector object
         """
@@ -458,6 +463,7 @@ def create_detector(  # noqa: PLR0913
                 patience_time=patience_time,
                 pipeline_config=pipeline_config,
                 metadata=metadata,
+                priming_group_id=priming_group_id,
             )
         if mode == ModeEnum.COUNT:
             if class_names is None:
@@ -473,6 +479,7 @@ def create_detector(  # noqa: PLR0913
                 patience_time=patience_time,
                 pipeline_config=pipeline_config,
                 metadata=metadata,
+                priming_group_id=priming_group_id,
             )
         if mode == ModeEnum.MULTI_CLASS:
             if class_names is None:
@@ -488,6 +495,7 @@ def create_detector(  # noqa: PLR0913
                 patience_time=patience_time,
                 pipeline_config=pipeline_config,
                 metadata=metadata,
+                priming_group_id=priming_group_id,
             )
         raise ValueError(
             f"Unsupported mode: {mode}, check if your desired mode is only supported in the ExperimentalApi"
@@ -1557,6 +1565,7 @@ def create_counting_detector(  # noqa: PLR0913 # pylint: disable=too-many-argume
         patience_time: Optional[float] = None,
         pipeline_config: Optional[str] = None,
         metadata: Union[dict, str, None] = None,
+        priming_group_id: Optional[str] = None,
     ) -> Detector:
         """
         Creates a counting detector that can count objects in images up to a specified maximum count.
@@ -1595,6 +1604,7 @@ def create_counting_detector(  # noqa: PLR0913 # pylint: disable=too-many-argume
                         the detector (limited to 1KB). This metadata can be used to store additional
                         information like location, purpose, or related system IDs. You can retrieve this
                         metadata later by calling `get_detector()`.
+        :param priming_group_id: Optional ID of an existing PrimingGroup to associate with this detector.
 
         :return: The created Detector object
         """
@@ -1607,6 +1617,7 @@ def create_counting_detector(  # noqa: PLR0913 # pylint: disable=too-many-argume
             patience_time=patience_time,
             pipeline_config=pipeline_config,
             metadata=metadata,
+            priming_group_id=priming_group_id,
         )
         detector_creation_input.mode = ModeEnum.COUNT
 
@@ -1629,6 +1640,7 @@ def create_binary_detector(  # noqa: PLR0913 # pylint: disable=too-many-argument
         patience_time: Optional[float] = None,
         pipeline_config: Optional[str] = None,
         metadata: Union[dict, str, None] = None,
+        priming_group_id: Optional[str] = None,
     ) -> Detector:
         """
         Creates a binary detector with the given name and query.
@@ -1656,6 +1668,7 @@ def create_binary_detector(  # noqa: PLR0913 # pylint: disable=too-many-argument
             patience_time=patience_time,
             pipeline_config=pipeline_config,
             metadata=metadata,
+            priming_group_id=priming_group_id,
         )
         obj = self.detectors_api.create_detector(detector_creation_input, _request_timeout=DEFAULT_REQUEST_TIMEOUT)
         return Detector.parse_obj(obj.to_dict())
@@ -1671,6 +1684,7 @@ def create_multiclass_detector(  # noqa: PLR0913 # pylint: disable=too-many-argu
         patience_time: Optional[float] = None,
         pipeline_config: Optional[str] = None,
         metadata: Union[dict, str, None] = None,
+        priming_group_id: Optional[str] = None,
     ) -> Detector:
         """
         Creates a multiclass detector with the given name and query.
@@ -1705,6 +1719,7 @@ def create_multiclass_detector(  # noqa: PLR0913 # pylint: disable=too-many-argu
                         the detector (limited to 1KB). This metadata can be used to store additional
                         information like location, purpose, or related system IDs. You can retrieve this
                         metadata later by calling `get_detector()`.
+        :param priming_group_id: Optional ID of an existing PrimingGroup to associate with this detector.
 
         :return: The created Detector object
         """
@@ -1717,6 +1732,7 @@ def create_multiclass_detector(  # noqa: PLR0913 # pylint: disable=too-many-argu
             patience_time=patience_time,
             pipeline_config=pipeline_config,
             metadata=metadata,
+            priming_group_id=priming_group_id,
         )
         detector_creation_input.mode = ModeEnum.MULTI_CLASS
         mode_config = MultiClassModeConfiguration(class_names=class_names)

src/groundlight/experimental_api.py

@@ -644,6 +644,7 @@ def create_bounding_box_detector(  # noqa: PLR0913 # pylint: disable=too-many-ar
         patience_time: Optional[float] = None,
         pipeline_config: Optional[str] = None,
         metadata: Union[dict, str, None] = None,
+        priming_group_id: Optional[str] = None,
     ) -> Detector:
         """
         Creates a bounding box detector that can detect objects in images up to a specified maximum number of bounding
@@ -684,6 +685,7 @@ def create_bounding_box_detector(  # noqa: PLR0913 # pylint: disable=too-many-ar
                         the detector (limited to 1KB). This metadata can be used to store additional
                         information like location, purpose, or related system IDs. You can retrieve this
                         metadata later by calling `get_detector()`.
+        :param priming_group_id: Optional ID of an existing PrimingGroup to associate with this detector.
 
         :return: The created Detector object
         """
@@ -696,6 +698,7 @@ def create_bounding_box_detector(  # noqa: PLR0913 # pylint: disable=too-many-ar
             patience_time=patience_time,
             pipeline_config=pipeline_config,
             metadata=metadata,
+            priming_group_id=priming_group_id,
         )
         detector_creation_input.mode = ModeEnum.BOUNDING_BOX
 
@@ -718,6 +721,7 @@ def create_text_recognition_detector(  # noqa: PLR0913 # pylint: disable=too-man
         patience_time: Optional[float] = None,
         pipeline_config: Optional[str] = None,
         metadata: Union[dict, str, None] = None,
+        priming_group_id: Optional[str] = None,
     ) -> Detector:
         """
         Creates a text recognition detector that can read specified spans of text from images.
@@ -742,6 +746,10 @@ def create_text_recognition_detector(  # noqa: PLR0913 # pylint: disable=too-man
         :param pipeline_config: Advanced usage only. Configuration string needed to instantiate a specific
                               prediction pipeline for this detector.
         :param metadata: A dictionary or JSON string containing custom key/value pairs to associate with
+                        the detector (limited to 1KB). This metadata can be used to store additional
+                        information like location, purpose, or related system IDs. You can retrieve this
+                        metadata later by calling `get_detector()`.
+        :param priming_group_id: Optional ID of an existing PrimingGroup to associate with this detector.
 
         :return: The created Detector object
         """
@@ -754,6 +762,7 @@ def create_text_recognition_detector(  # noqa: PLR0913 # pylint: disable=too-man
             patience_time=patience_time,
             pipeline_config=pipeline_config,
             metadata=metadata,
+            priming_group_id=priming_group_id,
         )
         detector_creation_input.mode = ModeEnum.TEXT
         mode_config = TextModeConfiguration()

test/integration/test_groundlight.py

@@ -937,3 +937,24 @@ def test_delete_detector(gl: Groundlight):
     fake_detector_id = "det_fake123456789"
     with pytest.raises(NotFoundError):
         gl.delete_detector(fake_detector_id)  # type: ignore
+
+
+def test_create_detector_with_invalid_priming_group_id(gl: Groundlight):
+    """
+    Test that creating a detector with a non-existent priming_group_id returns an appropriate error.
+    """
+    name = f"Test invalid priming {datetime.utcnow()}"
+    query = "Is there a dog?"
+    pipeline_config = "never-review"
+    priming_group_id = "prgrp_nonexistent12345678901234567890"
+
+    with pytest.raises(NotFoundException) as exc_info:
+        gl.create_detector(
+            name=name,
+            query=query,
+            pipeline_config=pipeline_config,
+            priming_group_id=priming_group_id,
+        )
+
+    # Verify the error message mentions PrimingGroup
+    assert "PrimingGroup" in str(exc_info.value)