Add minimal_compatible field to EdgeModelInfo and regenerate SDK

generated/.openapi-generator/FILES

@@ -172,6 +172,4 @@ setup.cfg
 setup.py
 test-requirements.txt
 test/__init__.py
-test/test_detector_mode_enum.py
-test/test_null_enum.py
 tox.ini

generated/docs/EdgeModelInfo.md

@@ -12,6 +12,7 @@ Name | Type | Description | Notes
 **pipeline_config** | **bool, date, datetime, dict, float, int, list, str, none_type** |  | [optional] 
 **oodd_pipeline_config** | **bool, date, datetime, dict, float, int, list, str, none_type** |  | [optional] 
 **predictor_metadata** | **bool, date, datetime, dict, float, int, list, str, none_type** |  | [optional] 
+**minimal_compatible** | **bool** |  | [optional]  if omitted the server will use the default value of False
 **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/groundlight_openapi_client/api/image_queries_api.py

@@ -425,7 +425,7 @@ def list_image_queries(self, **kwargs):
 
     def submit_image_query(self, detector_id, **kwargs):
         """submit_image_query  # noqa: E501
-        
+
          Submit an image query against a detector.  You must use `\"Content-Type: image/jpeg\"` or similar (image/png, image/webp, etc) for the image data. For example: ```Bash $ curl https://api.groundlight.ai/device-api/v1/image-queries?detector_id=det_abc123 \\     --header \"Content-Type: image/jpeg\" \\     --data-binary @path/to/filename.jpeg ```   # noqa: E501
         This method makes a synchronous HTTP request by default. To make an
         asynchronous HTTP request, please pass async_req=True

generated/groundlight_openapi_client/model/edge_model_info.py

@@ -125,6 +125,7 @@ def openapi_types():
                 str,
                 none_type,
             ),  # noqa: E501
+            "minimal_compatible": (bool,),  # noqa: E501
         }
 
     @cached_property
@@ -139,6 +140,7 @@ def discriminator():
         "pipeline_config": "pipeline_config",  # noqa: E501
         "oodd_pipeline_config": "oodd_pipeline_config",  # noqa: E501
         "predictor_metadata": "predictor_metadata",  # noqa: E501
+        "minimal_compatible": "minimal_compatible",  # noqa: E501
     }
 
     read_only_vars = {}
@@ -188,6 +190,7 @@ def _from_openapi_data(cls, *args, **kwargs):  # noqa: E501
             pipeline_config (bool, date, datetime, dict, float, int, list, str, none_type): [optional]  # noqa: E501
             oodd_pipeline_config (bool, date, datetime, dict, float, int, list, str, none_type): [optional]  # noqa: E501
             predictor_metadata (bool, date, datetime, dict, float, int, list, str, none_type): [optional]  # noqa: E501
+            minimal_compatible (bool): [optional] if omitted the server will use the default value of False  # noqa: E501
         """
 
         _check_type = kwargs.pop("_check_type", True)
@@ -279,6 +282,7 @@ def __init__(self, *args, **kwargs):  # noqa: E501
             pipeline_config (bool, date, datetime, dict, float, int, list, str, none_type): [optional]  # noqa: E501
             oodd_pipeline_config (bool, date, datetime, dict, float, int, list, str, none_type): [optional]  # noqa: E501
             predictor_metadata (bool, date, datetime, dict, float, int, list, str, none_type): [optional]  # noqa: E501
+            minimal_compatible (bool): [optional] if omitted the server will use the default value of False  # 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: 2026-05-05T17:57:16+00:00
+#   timestamp: 2026-06-16T00:34:34+00:00
 
 from __future__ import annotations
 
@@ -107,6 +107,7 @@ class EdgeModelInfo(BaseModel):
     pipeline_config: Optional[Any] = None
     oodd_pipeline_config: Optional[Any] = None
     predictor_metadata: Optional[Any] = None
+    minimal_compatible: bool = False
 
 
 class ImageQueryTypeEnum(str, Enum):

spec/public-api.yaml

@@ -1311,6 +1311,9 @@ components:
         pipeline_config: {}
         oodd_pipeline_config: {}
         predictor_metadata: {}
+        minimal_compatible:
+          type: boolean
+          default: false
     ImageQuery:
       type: object
       description: ImageQuery objects are the answers to natural language questions