From 8d8fc4ff6a8a8765d0066ef4043ddfec42b667ef Mon Sep 17 00:00:00 2001
From: paulina-positronix <paulina@positronix.ai>
Date: Wed, 2 Apr 2025 04:08:57 +0000
Subject: [PATCH 01/13] Make most evaluation results subfields nullable to
 avoid ApiTypeErrors when requesting evaluation results for count mode
 detectors

---
 generated/README.md                           |  2 +-
 .../InlineResponse2001EvaluationResults.md    | 12 +++--
 .../groundlight_openapi_client/__init__.py    |  2 +-
 .../api/actions_api.py                        |  2 +-
 .../api/detector_groups_api.py                |  2 +-
 .../api/detector_reset_api.py                 |  2 +-
 .../api/detectors_api.py                      |  2 +-
 .../api/edge_api.py                           |  2 +-
 .../api/image_queries_api.py                  |  2 +-
 .../api/labels_api.py                         |  2 +-
 .../api/notes_api.py                          |  2 +-
 .../api/user_api.py                           |  2 +-
 .../groundlight_openapi_client/api_client.py  |  2 +-
 .../configuration.py                          |  4 +-
 .../groundlight_openapi_client/exceptions.py  |  2 +-
 .../model/action.py                           |  2 +-
 .../model/action_list.py                      |  2 +-
 .../model/all_notes.py                        |  2 +-
 .../model/annotations_requested_enum.py       |  2 +-
 .../model/b_box_geometry.py                   |  2 +-
 .../model/b_box_geometry_request.py           |  2 +-
 .../model/binary_classification_result.py     |  2 +-
 .../model/blank_enum.py                       |  2 +-
 .../model/bounding_box_mode_configuration.py  |  2 +-
 .../model/bounding_box_result.py              |  2 +-
 .../model/channel_enum.py                     |  2 +-
 .../model/condition.py                        |  2 +-
 .../model/condition_request.py                |  2 +-
 .../model/count_mode_configuration.py         |  2 +-
 .../model/counting_result.py                  |  2 +-
 .../model/detector.py                         |  2 +-
 .../model/detector_creation_input_request.py  |  2 +-
 .../model/detector_group.py                   |  2 +-
 .../model/detector_group_request.py           |  2 +-
 .../model/detector_type_enum.py               |  2 +-
 .../model/edge_model_info.py                  |  2 +-
 .../model/escalation_type_enum.py             |  2 +-
 .../model/image_query.py                      |  2 +-
 .../model/image_query_type_enum.py            |  2 +-
 .../model/inline_response200.py               |  2 +-
 .../model/inline_response2001.py              |  2 +-
 .../inline_response2001_evaluation_results.py | 49 ++++++++++++++-----
 .../model/inline_response2002.py              |  2 +-
 .../model/inline_response200_summary.py       |  2 +-
 ...inline_response200_summary_class_counts.py |  2 +-
 .../model/label_value.py                      |  2 +-
 .../model/label_value_request.py              |  2 +-
 .../model/mode_enum.py                        |  2 +-
 .../model/multi_class_mode_configuration.py   |  2 +-
 .../model/multi_classification_result.py      |  2 +-
 .../groundlight_openapi_client/model/note.py  |  2 +-
 .../model/note_request.py                     |  2 +-
 .../model/paginated_detector_list.py          |  2 +-
 .../model/paginated_image_query_list.py       |  2 +-
 .../model/paginated_rule_list.py              |  2 +-
 .../model/patched_detector_request.py         |  2 +-
 .../model/payload_template.py                 |  2 +-
 .../model/payload_template_request.py         |  2 +-
 .../model/result_type_enum.py                 |  2 +-
 .../groundlight_openapi_client/model/roi.py   |  2 +-
 .../model/roi_request.py                      |  2 +-
 .../groundlight_openapi_client/model/rule.py  |  2 +-
 .../model/rule_request.py                     |  2 +-
 .../model/snooze_time_unit_enum.py            |  2 +-
 .../model/source_enum.py                      |  2 +-
 .../model/status_enum.py                      |  2 +-
 .../model/text_mode_configuration.py          |  2 +-
 .../model/text_recognition_result.py          |  2 +-
 .../model/verb_enum.py                        |  2 +-
 .../model/webhook_action.py                   |  2 +-
 .../model/webhook_action_request.py           |  2 +-
 .../groundlight_openapi_client/model_utils.py |  2 +-
 generated/groundlight_openapi_client/rest.py  |  2 +-
 generated/model.py                            |  2 +-
 generated/setup.py                            |  2 +-
 spec/public-api.yaml                          | 15 +++++-
 76 files changed, 131 insertions(+), 93 deletions(-)

diff --git a/generated/README.md b/generated/README.md
index 4a84c1f2..b7fddd47 100644
--- a/generated/README.md
+++ b/generated/README.md
@@ -3,7 +3,7 @@ Groundlight makes it simple to understand images. You can easily create computer
 
 This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
 
-- API version: 0.18.2
+- API version: 0.18.3
 - Package version: 1.0.0
 - Build package: org.openapitools.codegen.languages.PythonClientCodegen
 
diff --git a/generated/docs/InlineResponse2001EvaluationResults.md b/generated/docs/InlineResponse2001EvaluationResults.md
index 01f845e5..1c0be988 100644
--- a/generated/docs/InlineResponse2001EvaluationResults.md
+++ b/generated/docs/InlineResponse2001EvaluationResults.md
@@ -7,11 +7,13 @@ Name | Type | Description | Notes
 **eval_timestamp** | **datetime** |  | [optional] 
 **total_ground_truth_examples** | **int, none_type** |  | [optional] 
 **kfold_pooled__balanced_accuracy** | **float** |  | [optional] 
-**kfold_pooled__positive_accuracy** | **float** |  | [optional] 
-**kfold_pooled__negative_accuracy** | **float** |  | [optional] 
-**balanced_system_accuracies** | **{str: (bool, date, datetime, dict, float, int, list, str, none_type)}** |  | [optional] 
-**positive_system_accuracies** | **{str: (bool, date, datetime, dict, float, int, list, str, none_type)}** |  | [optional] 
-**negative_system_accuracies** | **{str: (bool, date, datetime, dict, float, int, list, str, none_type)}** |  | [optional] 
+**kfold_pooled__positive_accuracy** | **float, none_type** |  | [optional] 
+**kfold_pooled__negative_accuracy** | **float, none_type** |  | [optional] 
+**precision** | **float, none_type** |  | [optional] 
+**recall** | **float, none_type** |  | [optional] 
+**balanced_system_accuracies** | **{str: (bool, date, datetime, dict, float, int, list, str, none_type)}, none_type** |  | [optional] 
+**positive_system_accuracies** | **{str: (bool, date, datetime, dict, float, int, list, str, none_type)}, none_type** |  | [optional] 
+**negative_system_accuracies** | **{str: (bool, date, datetime, dict, float, int, list, str, none_type)}, none_type** |  | [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)
diff --git a/generated/groundlight_openapi_client/__init__.py b/generated/groundlight_openapi_client/__init__.py
index ff1e9a1d..45ed51c2 100644
--- a/generated/groundlight_openapi_client/__init__.py
+++ b/generated/groundlight_openapi_client/__init__.py
@@ -5,7 +5,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/api/actions_api.py b/generated/groundlight_openapi_client/api/actions_api.py
index 4f9d42f5..0dbc94cb 100644
--- a/generated/groundlight_openapi_client/api/actions_api.py
+++ b/generated/groundlight_openapi_client/api/actions_api.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/api/detector_groups_api.py b/generated/groundlight_openapi_client/api/detector_groups_api.py
index 83a2cb4f..91ada22a 100644
--- a/generated/groundlight_openapi_client/api/detector_groups_api.py
+++ b/generated/groundlight_openapi_client/api/detector_groups_api.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/api/detector_reset_api.py b/generated/groundlight_openapi_client/api/detector_reset_api.py
index c50532f8..cc51c357 100644
--- a/generated/groundlight_openapi_client/api/detector_reset_api.py
+++ b/generated/groundlight_openapi_client/api/detector_reset_api.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/api/detectors_api.py b/generated/groundlight_openapi_client/api/detectors_api.py
index eca18f45..33a41d48 100644
--- a/generated/groundlight_openapi_client/api/detectors_api.py
+++ b/generated/groundlight_openapi_client/api/detectors_api.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/api/edge_api.py b/generated/groundlight_openapi_client/api/edge_api.py
index a0b3187d..a0f2b212 100644
--- a/generated/groundlight_openapi_client/api/edge_api.py
+++ b/generated/groundlight_openapi_client/api/edge_api.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/api/image_queries_api.py b/generated/groundlight_openapi_client/api/image_queries_api.py
index 03ad2600..8cb2d80e 100644
--- a/generated/groundlight_openapi_client/api/image_queries_api.py
+++ b/generated/groundlight_openapi_client/api/image_queries_api.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/api/labels_api.py b/generated/groundlight_openapi_client/api/labels_api.py
index fd948a9f..27d4c37f 100644
--- a/generated/groundlight_openapi_client/api/labels_api.py
+++ b/generated/groundlight_openapi_client/api/labels_api.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/api/notes_api.py b/generated/groundlight_openapi_client/api/notes_api.py
index f1af2cb5..287cad2b 100644
--- a/generated/groundlight_openapi_client/api/notes_api.py
+++ b/generated/groundlight_openapi_client/api/notes_api.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/api/user_api.py b/generated/groundlight_openapi_client/api/user_api.py
index a14200f2..6e6481ea 100644
--- a/generated/groundlight_openapi_client/api/user_api.py
+++ b/generated/groundlight_openapi_client/api/user_api.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/api_client.py b/generated/groundlight_openapi_client/api_client.py
index da2e348a..2e8e4d56 100644
--- a/generated/groundlight_openapi_client/api_client.py
+++ b/generated/groundlight_openapi_client/api_client.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/configuration.py b/generated/groundlight_openapi_client/configuration.py
index 654b832f..c8c0a864 100644
--- a/generated/groundlight_openapi_client/configuration.py
+++ b/generated/groundlight_openapi_client/configuration.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
@@ -419,7 +419,7 @@ def to_debug_report(self):
             "Python SDK Debug Report:\n"
             "OS: {env}\n"
             "Python Version: {pyversion}\n"
-            "Version of the API: 0.18.2\n"
+            "Version of the API: 0.18.3\n"
             "SDK Package Version: 1.0.0".format(env=sys.platform, pyversion=sys.version)
         )
 
diff --git a/generated/groundlight_openapi_client/exceptions.py b/generated/groundlight_openapi_client/exceptions.py
index 393dbba8..c29a0632 100644
--- a/generated/groundlight_openapi_client/exceptions.py
+++ b/generated/groundlight_openapi_client/exceptions.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/action.py b/generated/groundlight_openapi_client/model/action.py
index 8308d44b..139a4111 100644
--- a/generated/groundlight_openapi_client/model/action.py
+++ b/generated/groundlight_openapi_client/model/action.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/action_list.py b/generated/groundlight_openapi_client/model/action_list.py
index a38fae04..e2233883 100644
--- a/generated/groundlight_openapi_client/model/action_list.py
+++ b/generated/groundlight_openapi_client/model/action_list.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/all_notes.py b/generated/groundlight_openapi_client/model/all_notes.py
index 89da5af1..122e0fe8 100644
--- a/generated/groundlight_openapi_client/model/all_notes.py
+++ b/generated/groundlight_openapi_client/model/all_notes.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/annotations_requested_enum.py b/generated/groundlight_openapi_client/model/annotations_requested_enum.py
index d951c99e..3773d934 100644
--- a/generated/groundlight_openapi_client/model/annotations_requested_enum.py
+++ b/generated/groundlight_openapi_client/model/annotations_requested_enum.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/b_box_geometry.py b/generated/groundlight_openapi_client/model/b_box_geometry.py
index 2282dfd7..2e806115 100644
--- a/generated/groundlight_openapi_client/model/b_box_geometry.py
+++ b/generated/groundlight_openapi_client/model/b_box_geometry.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/b_box_geometry_request.py b/generated/groundlight_openapi_client/model/b_box_geometry_request.py
index fcac579f..e1e8e73b 100644
--- a/generated/groundlight_openapi_client/model/b_box_geometry_request.py
+++ b/generated/groundlight_openapi_client/model/b_box_geometry_request.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/binary_classification_result.py b/generated/groundlight_openapi_client/model/binary_classification_result.py
index 25ef477e..d34681f1 100644
--- a/generated/groundlight_openapi_client/model/binary_classification_result.py
+++ b/generated/groundlight_openapi_client/model/binary_classification_result.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/blank_enum.py b/generated/groundlight_openapi_client/model/blank_enum.py
index aa466bb8..31919708 100644
--- a/generated/groundlight_openapi_client/model/blank_enum.py
+++ b/generated/groundlight_openapi_client/model/blank_enum.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/bounding_box_mode_configuration.py b/generated/groundlight_openapi_client/model/bounding_box_mode_configuration.py
index bcf98f27..f78803b0 100644
--- a/generated/groundlight_openapi_client/model/bounding_box_mode_configuration.py
+++ b/generated/groundlight_openapi_client/model/bounding_box_mode_configuration.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/bounding_box_result.py b/generated/groundlight_openapi_client/model/bounding_box_result.py
index 3c18763d..2a80e3d2 100644
--- a/generated/groundlight_openapi_client/model/bounding_box_result.py
+++ b/generated/groundlight_openapi_client/model/bounding_box_result.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/channel_enum.py b/generated/groundlight_openapi_client/model/channel_enum.py
index 720dac0d..2ad2285d 100644
--- a/generated/groundlight_openapi_client/model/channel_enum.py
+++ b/generated/groundlight_openapi_client/model/channel_enum.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/condition.py b/generated/groundlight_openapi_client/model/condition.py
index 6e12ea64..abdc7c4a 100644
--- a/generated/groundlight_openapi_client/model/condition.py
+++ b/generated/groundlight_openapi_client/model/condition.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/condition_request.py b/generated/groundlight_openapi_client/model/condition_request.py
index 3172892a..dadfd994 100644
--- a/generated/groundlight_openapi_client/model/condition_request.py
+++ b/generated/groundlight_openapi_client/model/condition_request.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/count_mode_configuration.py b/generated/groundlight_openapi_client/model/count_mode_configuration.py
index 9c2d3be9..0068e9e9 100644
--- a/generated/groundlight_openapi_client/model/count_mode_configuration.py
+++ b/generated/groundlight_openapi_client/model/count_mode_configuration.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/counting_result.py b/generated/groundlight_openapi_client/model/counting_result.py
index 9d7ff477..23266160 100644
--- a/generated/groundlight_openapi_client/model/counting_result.py
+++ b/generated/groundlight_openapi_client/model/counting_result.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/detector.py b/generated/groundlight_openapi_client/model/detector.py
index 04c6beb8..99d4c04d 100644
--- a/generated/groundlight_openapi_client/model/detector.py
+++ b/generated/groundlight_openapi_client/model/detector.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/detector_creation_input_request.py b/generated/groundlight_openapi_client/model/detector_creation_input_request.py
index ca1b1563..dc8f5011 100644
--- a/generated/groundlight_openapi_client/model/detector_creation_input_request.py
+++ b/generated/groundlight_openapi_client/model/detector_creation_input_request.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/detector_group.py b/generated/groundlight_openapi_client/model/detector_group.py
index 5620b0c9..8ada556e 100644
--- a/generated/groundlight_openapi_client/model/detector_group.py
+++ b/generated/groundlight_openapi_client/model/detector_group.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/detector_group_request.py b/generated/groundlight_openapi_client/model/detector_group_request.py
index 3302860f..95131dd1 100644
--- a/generated/groundlight_openapi_client/model/detector_group_request.py
+++ b/generated/groundlight_openapi_client/model/detector_group_request.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/detector_type_enum.py b/generated/groundlight_openapi_client/model/detector_type_enum.py
index 94d446da..8b9a770d 100644
--- a/generated/groundlight_openapi_client/model/detector_type_enum.py
+++ b/generated/groundlight_openapi_client/model/detector_type_enum.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/edge_model_info.py b/generated/groundlight_openapi_client/model/edge_model_info.py
index 66826368..635ee58c 100644
--- a/generated/groundlight_openapi_client/model/edge_model_info.py
+++ b/generated/groundlight_openapi_client/model/edge_model_info.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/escalation_type_enum.py b/generated/groundlight_openapi_client/model/escalation_type_enum.py
index d28cb1ed..0a9335dc 100644
--- a/generated/groundlight_openapi_client/model/escalation_type_enum.py
+++ b/generated/groundlight_openapi_client/model/escalation_type_enum.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/image_query.py b/generated/groundlight_openapi_client/model/image_query.py
index 79cf0179..80b967b3 100644
--- a/generated/groundlight_openapi_client/model/image_query.py
+++ b/generated/groundlight_openapi_client/model/image_query.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/image_query_type_enum.py b/generated/groundlight_openapi_client/model/image_query_type_enum.py
index 42470730..f1c2367a 100644
--- a/generated/groundlight_openapi_client/model/image_query_type_enum.py
+++ b/generated/groundlight_openapi_client/model/image_query_type_enum.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/inline_response200.py b/generated/groundlight_openapi_client/model/inline_response200.py
index 62e2494f..2a04fb2b 100644
--- a/generated/groundlight_openapi_client/model/inline_response200.py
+++ b/generated/groundlight_openapi_client/model/inline_response200.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/inline_response2001.py b/generated/groundlight_openapi_client/model/inline_response2001.py
index cdb30032..45c049c5 100644
--- a/generated/groundlight_openapi_client/model/inline_response2001.py
+++ b/generated/groundlight_openapi_client/model/inline_response2001.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/inline_response2001_evaluation_results.py b/generated/groundlight_openapi_client/model/inline_response2001_evaluation_results.py
index 987a8fcc..d6e619ab 100644
--- a/generated/groundlight_openapi_client/model/inline_response2001_evaluation_results.py
+++ b/generated/groundlight_openapi_client/model/inline_response2001_evaluation_results.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
@@ -94,16 +94,33 @@ def openapi_types():
                 none_type,
             ),  # noqa: E501
             "kfold_pooled__balanced_accuracy": (float,),  # noqa: E501
-            "kfold_pooled__positive_accuracy": (float,),  # noqa: E501
-            "kfold_pooled__negative_accuracy": (float,),  # noqa: E501
+            "kfold_pooled__positive_accuracy": (
+                float,
+                none_type,
+            ),  # noqa: E501
+            "kfold_pooled__negative_accuracy": (
+                float,
+                none_type,
+            ),  # noqa: E501
+            "precision": (
+                float,
+                none_type,
+            ),  # noqa: E501
+            "recall": (
+                float,
+                none_type,
+            ),  # noqa: E501
             "balanced_system_accuracies": (
                 {str: (bool, date, datetime, dict, float, int, list, str, none_type)},
+                none_type,
             ),  # noqa: E501
             "positive_system_accuracies": (
                 {str: (bool, date, datetime, dict, float, int, list, str, none_type)},
+                none_type,
             ),  # noqa: E501
             "negative_system_accuracies": (
                 {str: (bool, date, datetime, dict, float, int, list, str, none_type)},
+                none_type,
             ),  # noqa: E501
         }
 
@@ -117,6 +134,8 @@ def discriminator():
         "kfold_pooled__balanced_accuracy": "kfold_pooled__balanced_accuracy",  # noqa: E501
         "kfold_pooled__positive_accuracy": "kfold_pooled__positive_accuracy",  # noqa: E501
         "kfold_pooled__negative_accuracy": "kfold_pooled__negative_accuracy",  # noqa: E501
+        "precision": "precision",  # noqa: E501
+        "recall": "recall",  # noqa: E501
         "balanced_system_accuracies": "balanced_system_accuracies",  # noqa: E501
         "positive_system_accuracies": "positive_system_accuracies",  # noqa: E501
         "negative_system_accuracies": "negative_system_accuracies",  # noqa: E501
@@ -165,11 +184,13 @@ def _from_openapi_data(cls, *args, **kwargs):  # noqa: E501
             eval_timestamp (datetime): [optional]  # noqa: E501
             total_ground_truth_examples (int, none_type): [optional]  # noqa: E501
             kfold_pooled__balanced_accuracy (float): [optional]  # noqa: E501
-            kfold_pooled__positive_accuracy (float): [optional]  # noqa: E501
-            kfold_pooled__negative_accuracy (float): [optional]  # noqa: E501
-            balanced_system_accuracies ({str: (bool, date, datetime, dict, float, int, list, str, none_type)}): [optional]  # noqa: E501
-            positive_system_accuracies ({str: (bool, date, datetime, dict, float, int, list, str, none_type)}): [optional]  # noqa: E501
-            negative_system_accuracies ({str: (bool, date, datetime, dict, float, int, list, str, none_type)}): [optional]  # noqa: E501
+            kfold_pooled__positive_accuracy (float, none_type): [optional]  # noqa: E501
+            kfold_pooled__negative_accuracy (float, none_type): [optional]  # noqa: E501
+            precision (float, none_type): [optional]  # noqa: E501
+            recall (float, none_type): [optional]  # noqa: E501
+            balanced_system_accuracies ({str: (bool, date, datetime, dict, float, int, list, str, none_type)}, none_type): [optional]  # noqa: E501
+            positive_system_accuracies ({str: (bool, date, datetime, dict, float, int, list, str, none_type)}, none_type): [optional]  # noqa: E501
+            negative_system_accuracies ({str: (bool, date, datetime, dict, float, int, list, str, none_type)}, none_type): [optional]  # noqa: E501
         """
 
         _check_type = kwargs.pop("_check_type", True)
@@ -257,11 +278,13 @@ def __init__(self, *args, **kwargs):  # noqa: E501
             eval_timestamp (datetime): [optional]  # noqa: E501
             total_ground_truth_examples (int, none_type): [optional]  # noqa: E501
             kfold_pooled__balanced_accuracy (float): [optional]  # noqa: E501
-            kfold_pooled__positive_accuracy (float): [optional]  # noqa: E501
-            kfold_pooled__negative_accuracy (float): [optional]  # noqa: E501
-            balanced_system_accuracies ({str: (bool, date, datetime, dict, float, int, list, str, none_type)}): [optional]  # noqa: E501
-            positive_system_accuracies ({str: (bool, date, datetime, dict, float, int, list, str, none_type)}): [optional]  # noqa: E501
-            negative_system_accuracies ({str: (bool, date, datetime, dict, float, int, list, str, none_type)}): [optional]  # noqa: E501
+            kfold_pooled__positive_accuracy (float, none_type): [optional]  # noqa: E501
+            kfold_pooled__negative_accuracy (float, none_type): [optional]  # noqa: E501
+            precision (float, none_type): [optional]  # noqa: E501
+            recall (float, none_type): [optional]  # noqa: E501
+            balanced_system_accuracies ({str: (bool, date, datetime, dict, float, int, list, str, none_type)}, none_type): [optional]  # noqa: E501
+            positive_system_accuracies ({str: (bool, date, datetime, dict, float, int, list, str, none_type)}, none_type): [optional]  # noqa: E501
+            negative_system_accuracies ({str: (bool, date, datetime, dict, float, int, list, str, none_type)}, none_type): [optional]  # noqa: E501
         """
 
         _check_type = kwargs.pop("_check_type", True)
diff --git a/generated/groundlight_openapi_client/model/inline_response2002.py b/generated/groundlight_openapi_client/model/inline_response2002.py
index 1fbfd51d..cc2ddd6c 100644
--- a/generated/groundlight_openapi_client/model/inline_response2002.py
+++ b/generated/groundlight_openapi_client/model/inline_response2002.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/inline_response200_summary.py b/generated/groundlight_openapi_client/model/inline_response200_summary.py
index d5c30a12..278368a6 100644
--- a/generated/groundlight_openapi_client/model/inline_response200_summary.py
+++ b/generated/groundlight_openapi_client/model/inline_response200_summary.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/inline_response200_summary_class_counts.py b/generated/groundlight_openapi_client/model/inline_response200_summary_class_counts.py
index b2eb180b..e30fffbf 100644
--- a/generated/groundlight_openapi_client/model/inline_response200_summary_class_counts.py
+++ b/generated/groundlight_openapi_client/model/inline_response200_summary_class_counts.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/label_value.py b/generated/groundlight_openapi_client/model/label_value.py
index d2981b5d..8361b9a2 100644
--- a/generated/groundlight_openapi_client/model/label_value.py
+++ b/generated/groundlight_openapi_client/model/label_value.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/label_value_request.py b/generated/groundlight_openapi_client/model/label_value_request.py
index 434f8ad8..a940f5a1 100644
--- a/generated/groundlight_openapi_client/model/label_value_request.py
+++ b/generated/groundlight_openapi_client/model/label_value_request.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/mode_enum.py b/generated/groundlight_openapi_client/model/mode_enum.py
index b35a3833..6c477520 100644
--- a/generated/groundlight_openapi_client/model/mode_enum.py
+++ b/generated/groundlight_openapi_client/model/mode_enum.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/multi_class_mode_configuration.py b/generated/groundlight_openapi_client/model/multi_class_mode_configuration.py
index f08ee27c..8a47db85 100644
--- a/generated/groundlight_openapi_client/model/multi_class_mode_configuration.py
+++ b/generated/groundlight_openapi_client/model/multi_class_mode_configuration.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/multi_classification_result.py b/generated/groundlight_openapi_client/model/multi_classification_result.py
index ddd68bd7..e2b1d822 100644
--- a/generated/groundlight_openapi_client/model/multi_classification_result.py
+++ b/generated/groundlight_openapi_client/model/multi_classification_result.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/note.py b/generated/groundlight_openapi_client/model/note.py
index 64f139a7..6fdffe42 100644
--- a/generated/groundlight_openapi_client/model/note.py
+++ b/generated/groundlight_openapi_client/model/note.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/note_request.py b/generated/groundlight_openapi_client/model/note_request.py
index 95889010..0df28f64 100644
--- a/generated/groundlight_openapi_client/model/note_request.py
+++ b/generated/groundlight_openapi_client/model/note_request.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/paginated_detector_list.py b/generated/groundlight_openapi_client/model/paginated_detector_list.py
index 5972205e..8a657572 100644
--- a/generated/groundlight_openapi_client/model/paginated_detector_list.py
+++ b/generated/groundlight_openapi_client/model/paginated_detector_list.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/paginated_image_query_list.py b/generated/groundlight_openapi_client/model/paginated_image_query_list.py
index 13dccab7..c8a91fab 100644
--- a/generated/groundlight_openapi_client/model/paginated_image_query_list.py
+++ b/generated/groundlight_openapi_client/model/paginated_image_query_list.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/paginated_rule_list.py b/generated/groundlight_openapi_client/model/paginated_rule_list.py
index 6d007e1d..348b454d 100644
--- a/generated/groundlight_openapi_client/model/paginated_rule_list.py
+++ b/generated/groundlight_openapi_client/model/paginated_rule_list.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/patched_detector_request.py b/generated/groundlight_openapi_client/model/patched_detector_request.py
index 251cb75d..b6a81c4d 100644
--- a/generated/groundlight_openapi_client/model/patched_detector_request.py
+++ b/generated/groundlight_openapi_client/model/patched_detector_request.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/payload_template.py b/generated/groundlight_openapi_client/model/payload_template.py
index a721bb4c..c4bae06c 100644
--- a/generated/groundlight_openapi_client/model/payload_template.py
+++ b/generated/groundlight_openapi_client/model/payload_template.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/payload_template_request.py b/generated/groundlight_openapi_client/model/payload_template_request.py
index 3a0f12a2..adc9050f 100644
--- a/generated/groundlight_openapi_client/model/payload_template_request.py
+++ b/generated/groundlight_openapi_client/model/payload_template_request.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/result_type_enum.py b/generated/groundlight_openapi_client/model/result_type_enum.py
index c4b954fd..5c1f2c7c 100644
--- a/generated/groundlight_openapi_client/model/result_type_enum.py
+++ b/generated/groundlight_openapi_client/model/result_type_enum.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/roi.py b/generated/groundlight_openapi_client/model/roi.py
index 74c4fc66..443d0c07 100644
--- a/generated/groundlight_openapi_client/model/roi.py
+++ b/generated/groundlight_openapi_client/model/roi.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/roi_request.py b/generated/groundlight_openapi_client/model/roi_request.py
index 07fb54e2..366c673b 100644
--- a/generated/groundlight_openapi_client/model/roi_request.py
+++ b/generated/groundlight_openapi_client/model/roi_request.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/rule.py b/generated/groundlight_openapi_client/model/rule.py
index 7f1be14a..874ab7f3 100644
--- a/generated/groundlight_openapi_client/model/rule.py
+++ b/generated/groundlight_openapi_client/model/rule.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/rule_request.py b/generated/groundlight_openapi_client/model/rule_request.py
index 8fdf8fe1..9fb7ba11 100644
--- a/generated/groundlight_openapi_client/model/rule_request.py
+++ b/generated/groundlight_openapi_client/model/rule_request.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/snooze_time_unit_enum.py b/generated/groundlight_openapi_client/model/snooze_time_unit_enum.py
index f5586bb6..63eb1c41 100644
--- a/generated/groundlight_openapi_client/model/snooze_time_unit_enum.py
+++ b/generated/groundlight_openapi_client/model/snooze_time_unit_enum.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/source_enum.py b/generated/groundlight_openapi_client/model/source_enum.py
index 4addbc10..9ad77b6c 100644
--- a/generated/groundlight_openapi_client/model/source_enum.py
+++ b/generated/groundlight_openapi_client/model/source_enum.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/status_enum.py b/generated/groundlight_openapi_client/model/status_enum.py
index b41c2871..7d697180 100644
--- a/generated/groundlight_openapi_client/model/status_enum.py
+++ b/generated/groundlight_openapi_client/model/status_enum.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/text_mode_configuration.py b/generated/groundlight_openapi_client/model/text_mode_configuration.py
index ee4c4e73..67897d83 100644
--- a/generated/groundlight_openapi_client/model/text_mode_configuration.py
+++ b/generated/groundlight_openapi_client/model/text_mode_configuration.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/text_recognition_result.py b/generated/groundlight_openapi_client/model/text_recognition_result.py
index 25add8f1..de07c128 100644
--- a/generated/groundlight_openapi_client/model/text_recognition_result.py
+++ b/generated/groundlight_openapi_client/model/text_recognition_result.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/verb_enum.py b/generated/groundlight_openapi_client/model/verb_enum.py
index 8d138449..e3f77857 100644
--- a/generated/groundlight_openapi_client/model/verb_enum.py
+++ b/generated/groundlight_openapi_client/model/verb_enum.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/webhook_action.py b/generated/groundlight_openapi_client/model/webhook_action.py
index 33f70f3c..8bd4fc73 100644
--- a/generated/groundlight_openapi_client/model/webhook_action.py
+++ b/generated/groundlight_openapi_client/model/webhook_action.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/webhook_action_request.py b/generated/groundlight_openapi_client/model/webhook_action_request.py
index cd98a99b..1cf055f8 100644
--- a/generated/groundlight_openapi_client/model/webhook_action_request.py
+++ b/generated/groundlight_openapi_client/model/webhook_action_request.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model_utils.py b/generated/groundlight_openapi_client/model_utils.py
index cf7bd6d4..660d902a 100644
--- a/generated/groundlight_openapi_client/model_utils.py
+++ b/generated/groundlight_openapi_client/model_utils.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/rest.py b/generated/groundlight_openapi_client/rest.py
index 16d8ca86..14aa376b 100644
--- a/generated/groundlight_openapi_client/rest.py
+++ b/generated/groundlight_openapi_client/rest.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/model.py b/generated/model.py
index 480c1e0d..c1610ee0 100644
--- a/generated/model.py
+++ b/generated/model.py
@@ -1,6 +1,6 @@
 # generated by datamodel-codegen:
 #   filename:  public-api.yaml
-#   timestamp: 2025-03-31T23:28:33+00:00
+#   timestamp: 2025-04-02T04:06:49+00:00
 
 from __future__ import annotations
 
diff --git a/generated/setup.py b/generated/setup.py
index 9c4bb572..96e1f78a 100644
--- a/generated/setup.py
+++ b/generated/setup.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.2
+    The version of the OpenAPI document: 0.18.3
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/spec/public-api.yaml b/spec/public-api.yaml
index 1859dbf0..5982ba40 100644
--- a/spec/public-api.yaml
+++ b/spec/public-api.yaml
@@ -1,7 +1,7 @@
 openapi: 3.0.3
 info:
   title: Groundlight API
-  version: 0.18.2
+  version: 0.18.3
   description: Groundlight makes it simple to understand images. You can easily create
     computer vision detectors just by describing what you want to know using natural
     language.
@@ -407,18 +407,31 @@ paths:
                       kfold_pooled__positive_accuracy:
                         type: number
                         format: float
+                        nullable: true
                       kfold_pooled__negative_accuracy:
                         type: number
                         format: float
+                        nullable: true
+                      precision:
+                        type: number
+                        format: float
+                        nullable: true
+                      recall:
+                        type: number
+                        format: float
+                        nullable: true
                       balanced_system_accuracies:
                         type: object
                         additionalProperties: true
+                        nullable: true
                       positive_system_accuracies:
                         type: object
                         additionalProperties: true
+                        nullable: true
                       negative_system_accuracies:
                         type: object
                         additionalProperties: true
+                        nullable: true
                     nullable: true
           description: ''
   /v1/edge/fetch-model-urls/{detector_id}/:

From 4fd6e887884387ef8197e1fecc212c36f762573e Mon Sep 17 00:00:00 2001
From: paulina-positronix <paulina@positronix.ai>
Date: Wed, 2 Apr 2025 04:13:42 +0000
Subject: [PATCH 02/13] Remove premature precision and recall from evaluation
 results

---
 .../docs/InlineResponse2001EvaluationResults.md    |  2 --
 .../inline_response2001_evaluation_results.py      | 14 --------------
 generated/model.py                                 |  2 +-
 spec/public-api.yaml                               |  8 --------
 4 files changed, 1 insertion(+), 25 deletions(-)

diff --git a/generated/docs/InlineResponse2001EvaluationResults.md b/generated/docs/InlineResponse2001EvaluationResults.md
index 1c0be988..ed507395 100644
--- a/generated/docs/InlineResponse2001EvaluationResults.md
+++ b/generated/docs/InlineResponse2001EvaluationResults.md
@@ -9,8 +9,6 @@ Name | Type | Description | Notes
 **kfold_pooled__balanced_accuracy** | **float** |  | [optional] 
 **kfold_pooled__positive_accuracy** | **float, none_type** |  | [optional] 
 **kfold_pooled__negative_accuracy** | **float, none_type** |  | [optional] 
-**precision** | **float, none_type** |  | [optional] 
-**recall** | **float, none_type** |  | [optional] 
 **balanced_system_accuracies** | **{str: (bool, date, datetime, dict, float, int, list, str, none_type)}, none_type** |  | [optional] 
 **positive_system_accuracies** | **{str: (bool, date, datetime, dict, float, int, list, str, none_type)}, none_type** |  | [optional] 
 **negative_system_accuracies** | **{str: (bool, date, datetime, dict, float, int, list, str, none_type)}, none_type** |  | [optional] 
diff --git a/generated/groundlight_openapi_client/model/inline_response2001_evaluation_results.py b/generated/groundlight_openapi_client/model/inline_response2001_evaluation_results.py
index d6e619ab..bd9ce9cc 100644
--- a/generated/groundlight_openapi_client/model/inline_response2001_evaluation_results.py
+++ b/generated/groundlight_openapi_client/model/inline_response2001_evaluation_results.py
@@ -102,14 +102,6 @@ def openapi_types():
                 float,
                 none_type,
             ),  # noqa: E501
-            "precision": (
-                float,
-                none_type,
-            ),  # noqa: E501
-            "recall": (
-                float,
-                none_type,
-            ),  # noqa: E501
             "balanced_system_accuracies": (
                 {str: (bool, date, datetime, dict, float, int, list, str, none_type)},
                 none_type,
@@ -134,8 +126,6 @@ def discriminator():
         "kfold_pooled__balanced_accuracy": "kfold_pooled__balanced_accuracy",  # noqa: E501
         "kfold_pooled__positive_accuracy": "kfold_pooled__positive_accuracy",  # noqa: E501
         "kfold_pooled__negative_accuracy": "kfold_pooled__negative_accuracy",  # noqa: E501
-        "precision": "precision",  # noqa: E501
-        "recall": "recall",  # noqa: E501
         "balanced_system_accuracies": "balanced_system_accuracies",  # noqa: E501
         "positive_system_accuracies": "positive_system_accuracies",  # noqa: E501
         "negative_system_accuracies": "negative_system_accuracies",  # noqa: E501
@@ -186,8 +176,6 @@ def _from_openapi_data(cls, *args, **kwargs):  # noqa: E501
             kfold_pooled__balanced_accuracy (float): [optional]  # noqa: E501
             kfold_pooled__positive_accuracy (float, none_type): [optional]  # noqa: E501
             kfold_pooled__negative_accuracy (float, none_type): [optional]  # noqa: E501
-            precision (float, none_type): [optional]  # noqa: E501
-            recall (float, none_type): [optional]  # noqa: E501
             balanced_system_accuracies ({str: (bool, date, datetime, dict, float, int, list, str, none_type)}, none_type): [optional]  # noqa: E501
             positive_system_accuracies ({str: (bool, date, datetime, dict, float, int, list, str, none_type)}, none_type): [optional]  # noqa: E501
             negative_system_accuracies ({str: (bool, date, datetime, dict, float, int, list, str, none_type)}, none_type): [optional]  # noqa: E501
@@ -280,8 +268,6 @@ def __init__(self, *args, **kwargs):  # noqa: E501
             kfold_pooled__balanced_accuracy (float): [optional]  # noqa: E501
             kfold_pooled__positive_accuracy (float, none_type): [optional]  # noqa: E501
             kfold_pooled__negative_accuracy (float, none_type): [optional]  # noqa: E501
-            precision (float, none_type): [optional]  # noqa: E501
-            recall (float, none_type): [optional]  # noqa: E501
             balanced_system_accuracies ({str: (bool, date, datetime, dict, float, int, list, str, none_type)}, none_type): [optional]  # noqa: E501
             positive_system_accuracies ({str: (bool, date, datetime, dict, float, int, list, str, none_type)}, none_type): [optional]  # noqa: E501
             negative_system_accuracies ({str: (bool, date, datetime, dict, float, int, list, str, none_type)}, none_type): [optional]  # noqa: E501
diff --git a/generated/model.py b/generated/model.py
index c1610ee0..642ea9e8 100644
--- a/generated/model.py
+++ b/generated/model.py
@@ -1,6 +1,6 @@
 # generated by datamodel-codegen:
 #   filename:  public-api.yaml
-#   timestamp: 2025-04-02T04:06:49+00:00
+#   timestamp: 2025-04-02T04:12:45+00:00
 
 from __future__ import annotations
 
diff --git a/spec/public-api.yaml b/spec/public-api.yaml
index 5982ba40..e14768b7 100644
--- a/spec/public-api.yaml
+++ b/spec/public-api.yaml
@@ -412,14 +412,6 @@ paths:
                         type: number
                         format: float
                         nullable: true
-                      precision:
-                        type: number
-                        format: float
-                        nullable: true
-                      recall:
-                        type: number
-                        format: float
-                        nullable: true
                       balanced_system_accuracies:
                         type: object
                         additionalProperties: true

From 66e3547096a3d6006b430ae313b28f7537b358b5 Mon Sep 17 00:00:00 2001
From: paulina-positronix <paulina@positronix.ai>
Date: Wed, 2 Apr 2025 20:54:24 +0000
Subject: [PATCH 03/13] Update public-api.yaml over from internal codebase and
 make generate

---
 generated/README.md                           |   4 +-
 generated/docs/ActionsApi.md                  |   2 +-
 generated/docs/AnnotationsRequestedEnum.md    |   3 +-
 generated/docs/BinaryClassificationResult.md  |   2 +-
 generated/docs/BoundingBoxResult.md           |   2 +-
 generated/docs/Condition.md                   |   2 +-
 generated/docs/ConditionRequest.md            |   2 +-
 generated/docs/CountingResult.md              |   2 +-
 generated/docs/Detector.md                    |   4 +-
 generated/docs/DetectorsApi.md                |   2 +-
 generated/docs/EscalationTypeEnum.md          |   3 +-
 generated/docs/LabelValue.md                  |   4 +-
 generated/docs/MultiClassificationResult.md   |   2 +-
 generated/docs/PatchedDetectorRequest.md      |   2 +-
 generated/docs/SourceEnum.md                  |   3 +-
 generated/docs/TextRecognitionResult.md       |   2 +-
 generated/docs/VerbEnum.md                    |   3 +-
 .../groundlight_openapi_client/__init__.py    |   2 +-
 .../api/actions_api.py                        |   2 +-
 .../api/detector_groups_api.py                |   2 +-
 .../api/detector_reset_api.py                 |   2 +-
 .../api/detectors_api.py                      |   2 +-
 .../api/edge_api.py                           |   2 +-
 .../api/image_queries_api.py                  |   2 +-
 .../api/labels_api.py                         |   2 +-
 .../api/notes_api.py                          |   2 +-
 .../api/user_api.py                           |   2 +-
 .../groundlight_openapi_client/api_client.py  |   2 +-
 .../configuration.py                          |   4 +-
 .../groundlight_openapi_client/exceptions.py  |   2 +-
 .../model/action.py                           |   2 +-
 .../model/action_list.py                      |   2 +-
 .../model/all_notes.py                        |   2 +-
 .../model/annotations_requested_enum.py       |  10 +-
 .../model/b_box_geometry.py                   |   2 +-
 .../model/b_box_geometry_request.py           |   2 +-
 .../model/binary_classification_result.py     |  25 +--
 .../model/blank_enum.py                       |   2 +-
 .../model/bounding_box_mode_configuration.py  |   2 +-
 .../model/bounding_box_result.py              |  25 +--
 .../model/channel_enum.py                     |   2 +-
 .../model/condition.py                        |  16 +-
 .../model/condition_request.py                |  16 +-
 .../model/count_mode_configuration.py         |   2 +-
 .../model/counting_result.py                  |  20 +-
 .../model/detector.py                         |  36 +---
 .../model/detector_creation_input_request.py  |   2 +-
 .../model/detector_group.py                   |   2 +-
 .../model/detector_group_request.py           |   2 +-
 .../model/detector_type_enum.py               |   2 +-
 .../model/edge_model_info.py                  |   2 +-
 .../model/escalation_type_enum.py             |  10 +-
 .../model/image_query.py                      |   2 +-
 .../model/image_query_type_enum.py            |   2 +-
 .../model/inline_response200.py               |   2 +-
 .../model/inline_response2001.py              |   2 +-
 .../inline_response2001_evaluation_results.py |   2 +-
 .../model/inline_response2002.py              |   2 +-
 .../model/inline_response200_summary.py       |   2 +-
 ...inline_response200_summary_class_counts.py |   2 +-
 .../model/label_value.py                      |  24 +--
 .../model/label_value_request.py              |   2 +-
 .../model/mode_enum.py                        |   2 +-
 .../model/multi_class_mode_configuration.py   |   2 +-
 .../model/multi_classification_result.py      |  20 +-
 .../groundlight_openapi_client/model/note.py  |   2 +-
 .../model/note_request.py                     |   2 +-
 .../model/paginated_detector_list.py          |   2 +-
 .../model/paginated_image_query_list.py       |   2 +-
 .../model/paginated_rule_list.py              |   2 +-
 .../model/patched_detector_request.py         |  23 +-
 .../model/payload_template.py                 |   2 +-
 .../model/payload_template_request.py         |   2 +-
 .../model/result_type_enum.py                 |   2 +-
 .../groundlight_openapi_client/model/roi.py   |   2 +-
 .../model/roi_request.py                      |   2 +-
 .../groundlight_openapi_client/model/rule.py  |   2 +-
 .../model/rule_request.py                     |   2 +-
 .../model/snooze_time_unit_enum.py            |   2 +-
 .../model/source_enum.py                      |  10 +-
 .../model/status_enum.py                      |   2 +-
 .../model/text_mode_configuration.py          |   2 +-
 .../model/text_recognition_result.py          |  20 +-
 .../model/verb_enum.py                        |  10 +-
 .../model/webhook_action.py                   |   2 +-
 .../model/webhook_action_request.py           |   2 +-
 .../groundlight_openapi_client/model_utils.py |   2 +-
 generated/groundlight_openapi_client/rest.py  |   2 +-
 generated/model.py                            | 196 +++++-------------
 generated/setup.py                            |   2 +-
 spec/public-api.yaml                          | 173 ++++------------
 91 files changed, 242 insertions(+), 554 deletions(-)

diff --git a/generated/README.md b/generated/README.md
index b7fddd47..086d2c24 100644
--- a/generated/README.md
+++ b/generated/README.md
@@ -3,7 +3,7 @@ Groundlight makes it simple to understand images. You can easily create computer
 
 This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
 
-- API version: 0.18.3
+- API version: 0.18.2
 - Package version: 1.0.0
 - Build package: org.openapitools.codegen.languages.PythonClientCodegen
 
@@ -84,7 +84,7 @@ rule_request = RuleRequest(
         snooze_time_unit=None,
         human_review_required=False,
         condition=ConditionRequest(
-            verb=VerbEnum("ANSWERED_CONSECUTIVELY"),
+            verb="verb_example",
             parameters={
                 "key": None,
             },
diff --git a/generated/docs/ActionsApi.md b/generated/docs/ActionsApi.md
index ae3b580b..099d468f 100644
--- a/generated/docs/ActionsApi.md
+++ b/generated/docs/ActionsApi.md
@@ -59,7 +59,7 @@ with groundlight_openapi_client.ApiClient(configuration) as api_client:
         snooze_time_unit=None,
         human_review_required=False,
         condition=ConditionRequest(
-            verb=VerbEnum("ANSWERED_CONSECUTIVELY"),
+            verb="verb_example",
             parameters={
                 "key": None,
             },
diff --git a/generated/docs/AnnotationsRequestedEnum.md b/generated/docs/AnnotationsRequestedEnum.md
index fd366f01..31b444e4 100644
--- a/generated/docs/AnnotationsRequestedEnum.md
+++ b/generated/docs/AnnotationsRequestedEnum.md
@@ -1,11 +1,10 @@
 # AnnotationsRequestedEnum
 
-* `BINARY_CLASSIFICATION` - Binary Classification * `BOUNDING_BOXES` - Bounding Boxes
 
 ## Properties
 Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
-**value** | **str** | * &#x60;BINARY_CLASSIFICATION&#x60; - Binary Classification * &#x60;BOUNDING_BOXES&#x60; - Bounding Boxes |  must be one of ["BINARY_CLASSIFICATION", "BOUNDING_BOXES", ]
+**value** | **str** |  |  must be one of ["BINARY_CLASSIFICATION", "BOUNDING_BOXES", ]
 
 [[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)
 
diff --git a/generated/docs/BinaryClassificationResult.md b/generated/docs/BinaryClassificationResult.md
index a98a3b70..0ddc4f9e 100644
--- a/generated/docs/BinaryClassificationResult.md
+++ b/generated/docs/BinaryClassificationResult.md
@@ -7,7 +7,7 @@ Name | Type | Description | Notes
 **label** | **str** |  | 
 **confidence** | **float, none_type** |  | [optional] 
 **source** | **str** |  | [optional] 
-**result_type** | **str** |  | [optional]  if omitted the server will use the default value of "binary_classification"
+**result_type** | **str** |  | [optional] 
 **from_edge** | **bool** |  | [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]
 
diff --git a/generated/docs/BoundingBoxResult.md b/generated/docs/BoundingBoxResult.md
index 7a089d95..aab5d925 100644
--- a/generated/docs/BoundingBoxResult.md
+++ b/generated/docs/BoundingBoxResult.md
@@ -7,7 +7,7 @@ Name | Type | Description | Notes
 **label** | **str** |  | 
 **confidence** | **float, none_type** |  | [optional] 
 **source** | **str** |  | [optional] 
-**result_type** | **str** |  | [optional]  if omitted the server will use the default value of "bounding_box"
+**result_type** | **str** |  | [optional] 
 **from_edge** | **bool** |  | [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]
 
diff --git a/generated/docs/Condition.md b/generated/docs/Condition.md
index edfe01a8..e54e1ad5 100644
--- a/generated/docs/Condition.md
+++ b/generated/docs/Condition.md
@@ -4,7 +4,7 @@
 ## Properties
 Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
-**verb** | [**VerbEnum**](VerbEnum.md) |  | 
+**verb** | **str** |  | 
 **parameters** | **{str: (bool, date, datetime, dict, float, int, list, str, none_type)}** |  | 
 **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]
 
diff --git a/generated/docs/ConditionRequest.md b/generated/docs/ConditionRequest.md
index a9a2cead..60a6d034 100644
--- a/generated/docs/ConditionRequest.md
+++ b/generated/docs/ConditionRequest.md
@@ -4,7 +4,7 @@
 ## Properties
 Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
-**verb** | [**VerbEnum**](VerbEnum.md) |  | 
+**verb** | **str** |  | 
 **parameters** | **{str: (bool, date, datetime, dict, float, int, list, str, none_type)}** |  | 
 **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]
 
diff --git a/generated/docs/CountingResult.md b/generated/docs/CountingResult.md
index f9db3d5d..deb8cbe6 100644
--- a/generated/docs/CountingResult.md
+++ b/generated/docs/CountingResult.md
@@ -7,7 +7,7 @@ Name | Type | Description | Notes
 **count** | **int, none_type** |  | 
 **confidence** | **float, none_type** |  | [optional] 
 **source** | **str** |  | [optional] 
-**result_type** | **str** |  | [optional]  if omitted the server will use the default value of "counting"
+**result_type** | **str** |  | [optional] 
 **from_edge** | **bool** |  | [optional] 
 **greater_than_max** | **bool** |  | [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]
diff --git a/generated/docs/Detector.md b/generated/docs/Detector.md
index 133bfeba..b2f9f86e 100644
--- a/generated/docs/Detector.md
+++ b/generated/docs/Detector.md
@@ -12,12 +12,12 @@ Name | Type | Description | Notes
 **query** | **str** | A question about the image. | [readonly] 
 **group_name** | **str** | Which group should this detector be part of? | [readonly] 
 **metadata** | **{str: (bool, date, datetime, dict, float, int, list, str, none_type)}, none_type** | Metadata about the detector. | [readonly] 
-**mode** | **bool, date, datetime, dict, float, int, list, str, none_type** |  | [readonly] 
+**mode** | **str** |  | [readonly] 
 **mode_configuration** | **{str: (bool, date, datetime, dict, float, int, list, str, none_type)}, none_type** |  | [readonly] 
 **confidence_threshold** | **float** | If the detector&#39;s prediction is below this confidence threshold, send the image query for human review. | [optional]  if omitted the server will use the default value of 0.9
 **patience_time** | **float** | How long Groundlight will attempt to generate a confident prediction | [optional]  if omitted the server will use the default value of 30.0
 **status** | **bool, date, datetime, dict, float, int, list, str, none_type** |  | [optional] 
-**escalation_type** | **bool, date, datetime, dict, float, int, list, str, none_type** | Category that define internal proccess for labeling image queries  * &#x60;STANDARD&#x60; - STANDARD * &#x60;NO_HUMAN_LABELING&#x60; - NO_HUMAN_LABELING | [optional] 
+**escalation_type** | **str** |  | [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)
diff --git a/generated/docs/DetectorsApi.md b/generated/docs/DetectorsApi.md
index 51cc1d1c..9f5355e5 100644
--- a/generated/docs/DetectorsApi.md
+++ b/generated/docs/DetectorsApi.md
@@ -532,7 +532,7 @@ with groundlight_openapi_client.ApiClient(configuration) as api_client:
         confidence_threshold=0.9,
         patience_time=30.0,
         status=None,
-        escalation_type=None,
+        escalation_type="escalation_type_example",
     ) # PatchedDetectorRequest |  (optional)
 
     # example passing only required values which don't have defaults set
diff --git a/generated/docs/EscalationTypeEnum.md b/generated/docs/EscalationTypeEnum.md
index 36e1e46e..d7842681 100644
--- a/generated/docs/EscalationTypeEnum.md
+++ b/generated/docs/EscalationTypeEnum.md
@@ -1,11 +1,10 @@
 # EscalationTypeEnum
 
-* `STANDARD` - STANDARD * `NO_HUMAN_LABELING` - NO_HUMAN_LABELING
 
 ## Properties
 Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
-**value** | **str** | * &#x60;STANDARD&#x60; - STANDARD * &#x60;NO_HUMAN_LABELING&#x60; - NO_HUMAN_LABELING |  must be one of ["STANDARD", "NO_HUMAN_LABELING", ]
+**value** | **str** |  |  must be one of ["STANDARD", "NO_HUMAN_LABELING", ]
 
 [[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)
 
diff --git a/generated/docs/LabelValue.md b/generated/docs/LabelValue.md
index acbb0e6f..da087687 100644
--- a/generated/docs/LabelValue.md
+++ b/generated/docs/LabelValue.md
@@ -6,10 +6,10 @@ Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
 **confidence** | **float, none_type** |  | [readonly] 
 **class_name** | **str, none_type** | Return a human-readable class name for this label (e.g. YES/NO) | [readonly] 
-**annotations_requested** | **[bool, date, datetime, dict, float, int, list, str, none_type]** |  | [readonly] 
+**annotations_requested** | **[str]** |  | [readonly] 
 **created_at** | **datetime** |  | [readonly] 
 **detector_id** | **int, none_type** |  | [readonly] 
-**source** | **bool, date, datetime, dict, float, int, list, str, none_type** |  | [readonly] 
+**source** | **str** |  | [readonly] 
 **text** | **str, none_type** | Text annotations | [readonly] 
 **rois** | [**[ROI], none_type**](ROI.md) |  | [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]
diff --git a/generated/docs/MultiClassificationResult.md b/generated/docs/MultiClassificationResult.md
index d048a5da..04aad82f 100644
--- a/generated/docs/MultiClassificationResult.md
+++ b/generated/docs/MultiClassificationResult.md
@@ -7,7 +7,7 @@ Name | Type | Description | Notes
 **label** | **str** |  | 
 **confidence** | **float, none_type** |  | [optional] 
 **source** | **str** |  | [optional] 
-**result_type** | **str** |  | [optional]  if omitted the server will use the default value of "multi_classification"
+**result_type** | **str** |  | [optional] 
 **from_edge** | **bool** |  | [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]
 
diff --git a/generated/docs/PatchedDetectorRequest.md b/generated/docs/PatchedDetectorRequest.md
index 819310b8..eb594561 100644
--- a/generated/docs/PatchedDetectorRequest.md
+++ b/generated/docs/PatchedDetectorRequest.md
@@ -9,7 +9,7 @@ Name | Type | Description | Notes
 **confidence_threshold** | **float** | If the detector&#39;s prediction is below this confidence threshold, send the image query for human review. | [optional]  if omitted the server will use the default value of 0.9
 **patience_time** | **float** | How long Groundlight will attempt to generate a confident prediction | [optional]  if omitted the server will use the default value of 30.0
 **status** | **bool, date, datetime, dict, float, int, list, str, none_type** |  | [optional] 
-**escalation_type** | **bool, date, datetime, dict, float, int, list, str, none_type** | Category that define internal proccess for labeling image queries  * &#x60;STANDARD&#x60; - STANDARD * &#x60;NO_HUMAN_LABELING&#x60; - NO_HUMAN_LABELING | [optional] 
+**escalation_type** | **str** |  | [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)
diff --git a/generated/docs/SourceEnum.md b/generated/docs/SourceEnum.md
index 65fe757d..a382414e 100644
--- a/generated/docs/SourceEnum.md
+++ b/generated/docs/SourceEnum.md
@@ -1,11 +1,10 @@
 # SourceEnum
 
-* `INITIAL_PLACEHOLDER` - InitialPlaceholder * `CLOUD` - HumanCloud * `CUST` - HumanCustomer * `HUMAN_CLOUD_ENSEMBLE` - HumanCloudEnsemble * `ALG` - Algorithm * `ALG_REC` - AlgorithmReconciled * `ALG_UNCLEAR` - AlgorithmUnclear * `EDGE` - EDGE
 
 ## Properties
 Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
-**value** | **str** | * &#x60;INITIAL_PLACEHOLDER&#x60; - InitialPlaceholder * &#x60;CLOUD&#x60; - HumanCloud * &#x60;CUST&#x60; - HumanCustomer * &#x60;HUMAN_CLOUD_ENSEMBLE&#x60; - HumanCloudEnsemble * &#x60;ALG&#x60; - Algorithm * &#x60;ALG_REC&#x60; - AlgorithmReconciled * &#x60;ALG_UNCLEAR&#x60; - AlgorithmUnclear * &#x60;EDGE&#x60; - EDGE |  must be one of ["INITIAL_PLACEHOLDER", "CLOUD", "CUST", "HUMAN_CLOUD_ENSEMBLE", "ALG", "ALG_REC", "ALG_UNCLEAR", "EDGE", ]
+**value** | **str** |  |  must be one of ["INITIAL_PLACEHOLDER", "CLOUD", "CUST", "HUMAN_CLOUD_ENSEMBLE", "ALG", "ALG_REC", "ALG_UNCLEAR", "EDGE", ]
 
 [[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)
 
diff --git a/generated/docs/TextRecognitionResult.md b/generated/docs/TextRecognitionResult.md
index f518a26b..736bec34 100644
--- a/generated/docs/TextRecognitionResult.md
+++ b/generated/docs/TextRecognitionResult.md
@@ -8,7 +8,7 @@ Name | Type | Description | Notes
 **truncated** | **bool** |  | 
 **confidence** | **float, none_type** |  | [optional] 
 **source** | **str** |  | [optional] 
-**result_type** | **str** |  | [optional]  if omitted the server will use the default value of "text_recognition"
+**result_type** | **str** |  | [optional] 
 **from_edge** | **bool** |  | [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]
 
diff --git a/generated/docs/VerbEnum.md b/generated/docs/VerbEnum.md
index a76351de..57a334c2 100644
--- a/generated/docs/VerbEnum.md
+++ b/generated/docs/VerbEnum.md
@@ -1,11 +1,10 @@
 # VerbEnum
 
-* `ANSWERED_CONSECUTIVELY` - ANSWERED_CONSECUTIVELY * `ANSWERED_WITHIN_TIME` - ANSWERED_WITHIN_TIME * `CHANGED_TO` - CHANGED_TO * `NO_CHANGE` - NO_CHANGE * `NO_QUERIES` - NO_QUERIES
 
 ## Properties
 Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
-**value** | **str** | * &#x60;ANSWERED_CONSECUTIVELY&#x60; - ANSWERED_CONSECUTIVELY * &#x60;ANSWERED_WITHIN_TIME&#x60; - ANSWERED_WITHIN_TIME * &#x60;CHANGED_TO&#x60; - CHANGED_TO * &#x60;NO_CHANGE&#x60; - NO_CHANGE * &#x60;NO_QUERIES&#x60; - NO_QUERIES |  must be one of ["ANSWERED_CONSECUTIVELY", "ANSWERED_WITHIN_TIME", "CHANGED_TO", "NO_CHANGE", "NO_QUERIES", ]
+**value** | **str** |  |  must be one of ["ANSWERED_CONSECUTIVELY", "ANSWERED_WITHIN_TIME", "CHANGED_TO", "NO_CHANGE", "NO_QUERIES", ]
 
 [[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)
 
diff --git a/generated/groundlight_openapi_client/__init__.py b/generated/groundlight_openapi_client/__init__.py
index 45ed51c2..ff1e9a1d 100644
--- a/generated/groundlight_openapi_client/__init__.py
+++ b/generated/groundlight_openapi_client/__init__.py
@@ -5,7 +5,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/api/actions_api.py b/generated/groundlight_openapi_client/api/actions_api.py
index 0dbc94cb..4f9d42f5 100644
--- a/generated/groundlight_openapi_client/api/actions_api.py
+++ b/generated/groundlight_openapi_client/api/actions_api.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/api/detector_groups_api.py b/generated/groundlight_openapi_client/api/detector_groups_api.py
index 91ada22a..83a2cb4f 100644
--- a/generated/groundlight_openapi_client/api/detector_groups_api.py
+++ b/generated/groundlight_openapi_client/api/detector_groups_api.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/api/detector_reset_api.py b/generated/groundlight_openapi_client/api/detector_reset_api.py
index cc51c357..c50532f8 100644
--- a/generated/groundlight_openapi_client/api/detector_reset_api.py
+++ b/generated/groundlight_openapi_client/api/detector_reset_api.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/api/detectors_api.py b/generated/groundlight_openapi_client/api/detectors_api.py
index 33a41d48..eca18f45 100644
--- a/generated/groundlight_openapi_client/api/detectors_api.py
+++ b/generated/groundlight_openapi_client/api/detectors_api.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/api/edge_api.py b/generated/groundlight_openapi_client/api/edge_api.py
index a0f2b212..a0b3187d 100644
--- a/generated/groundlight_openapi_client/api/edge_api.py
+++ b/generated/groundlight_openapi_client/api/edge_api.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/api/image_queries_api.py b/generated/groundlight_openapi_client/api/image_queries_api.py
index 8cb2d80e..03ad2600 100644
--- a/generated/groundlight_openapi_client/api/image_queries_api.py
+++ b/generated/groundlight_openapi_client/api/image_queries_api.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/api/labels_api.py b/generated/groundlight_openapi_client/api/labels_api.py
index 27d4c37f..fd948a9f 100644
--- a/generated/groundlight_openapi_client/api/labels_api.py
+++ b/generated/groundlight_openapi_client/api/labels_api.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/api/notes_api.py b/generated/groundlight_openapi_client/api/notes_api.py
index 287cad2b..f1af2cb5 100644
--- a/generated/groundlight_openapi_client/api/notes_api.py
+++ b/generated/groundlight_openapi_client/api/notes_api.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/api/user_api.py b/generated/groundlight_openapi_client/api/user_api.py
index 6e6481ea..a14200f2 100644
--- a/generated/groundlight_openapi_client/api/user_api.py
+++ b/generated/groundlight_openapi_client/api/user_api.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/api_client.py b/generated/groundlight_openapi_client/api_client.py
index 2e8e4d56..da2e348a 100644
--- a/generated/groundlight_openapi_client/api_client.py
+++ b/generated/groundlight_openapi_client/api_client.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/configuration.py b/generated/groundlight_openapi_client/configuration.py
index c8c0a864..654b832f 100644
--- a/generated/groundlight_openapi_client/configuration.py
+++ b/generated/groundlight_openapi_client/configuration.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
@@ -419,7 +419,7 @@ def to_debug_report(self):
             "Python SDK Debug Report:\n"
             "OS: {env}\n"
             "Python Version: {pyversion}\n"
-            "Version of the API: 0.18.3\n"
+            "Version of the API: 0.18.2\n"
             "SDK Package Version: 1.0.0".format(env=sys.platform, pyversion=sys.version)
         )
 
diff --git a/generated/groundlight_openapi_client/exceptions.py b/generated/groundlight_openapi_client/exceptions.py
index c29a0632..393dbba8 100644
--- a/generated/groundlight_openapi_client/exceptions.py
+++ b/generated/groundlight_openapi_client/exceptions.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/action.py b/generated/groundlight_openapi_client/model/action.py
index 139a4111..8308d44b 100644
--- a/generated/groundlight_openapi_client/model/action.py
+++ b/generated/groundlight_openapi_client/model/action.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/action_list.py b/generated/groundlight_openapi_client/model/action_list.py
index e2233883..a38fae04 100644
--- a/generated/groundlight_openapi_client/model/action_list.py
+++ b/generated/groundlight_openapi_client/model/action_list.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/all_notes.py b/generated/groundlight_openapi_client/model/all_notes.py
index 122e0fe8..89da5af1 100644
--- a/generated/groundlight_openapi_client/model/all_notes.py
+++ b/generated/groundlight_openapi_client/model/all_notes.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/annotations_requested_enum.py b/generated/groundlight_openapi_client/model/annotations_requested_enum.py
index 3773d934..1e1f6b8f 100644
--- a/generated/groundlight_openapi_client/model/annotations_requested_enum.py
+++ b/generated/groundlight_openapi_client/model/annotations_requested_enum.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
@@ -102,10 +102,10 @@ def __init__(self, *args, **kwargs):
         Note that value can be passed either in args or in kwargs, but not in both.
 
         Args:
-            args[0] (str): * `BINARY_CLASSIFICATION` - Binary Classification * `BOUNDING_BOXES` - Bounding Boxes., must be one of ["BINARY_CLASSIFICATION", "BOUNDING_BOXES", ]  # noqa: E501
+            args[0] (str):, must be one of ["BINARY_CLASSIFICATION", "BOUNDING_BOXES", ]  # noqa: E501
 
         Keyword Args:
-            value (str): * `BINARY_CLASSIFICATION` - Binary Classification * `BOUNDING_BOXES` - Bounding Boxes., must be one of ["BINARY_CLASSIFICATION", "BOUNDING_BOXES", ]  # noqa: E501
+            value (str):, must be one of ["BINARY_CLASSIFICATION", "BOUNDING_BOXES", ]  # noqa: E501
             _check_type (bool): if True, values for parameters in openapi_types
                                 will be type checked and a TypeError will be
                                 raised if the wrong type is input.
@@ -194,10 +194,10 @@ def _from_openapi_data(cls, *args, **kwargs):
         Note that value can be passed either in args or in kwargs, but not in both.
 
         Args:
-            args[0] (str): * `BINARY_CLASSIFICATION` - Binary Classification * `BOUNDING_BOXES` - Bounding Boxes., must be one of ["BINARY_CLASSIFICATION", "BOUNDING_BOXES", ]  # noqa: E501
+            args[0] (str):, must be one of ["BINARY_CLASSIFICATION", "BOUNDING_BOXES", ]  # noqa: E501
 
         Keyword Args:
-            value (str): * `BINARY_CLASSIFICATION` - Binary Classification * `BOUNDING_BOXES` - Bounding Boxes., must be one of ["BINARY_CLASSIFICATION", "BOUNDING_BOXES", ]  # noqa: E501
+            value (str):, must be one of ["BINARY_CLASSIFICATION", "BOUNDING_BOXES", ]  # noqa: E501
             _check_type (bool): if True, values for parameters in openapi_types
                                 will be type checked and a TypeError will be
                                 raised if the wrong type is input.
diff --git a/generated/groundlight_openapi_client/model/b_box_geometry.py b/generated/groundlight_openapi_client/model/b_box_geometry.py
index 2e806115..2282dfd7 100644
--- a/generated/groundlight_openapi_client/model/b_box_geometry.py
+++ b/generated/groundlight_openapi_client/model/b_box_geometry.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/b_box_geometry_request.py b/generated/groundlight_openapi_client/model/b_box_geometry_request.py
index e1e8e73b..fcac579f 100644
--- a/generated/groundlight_openapi_client/model/b_box_geometry_request.py
+++ b/generated/groundlight_openapi_client/model/b_box_geometry_request.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/binary_classification_result.py b/generated/groundlight_openapi_client/model/binary_classification_result.py
index d34681f1..605685dc 100644
--- a/generated/groundlight_openapi_client/model/binary_classification_result.py
+++ b/generated/groundlight_openapi_client/model/binary_classification_result.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
@@ -53,24 +53,7 @@ class BinaryClassificationResult(ModelNormal):
           as additional properties values.
     """
 
-    allowed_values = {
-        ("label",): {
-            "YES": "YES",
-            "NO": "NO",
-            "UNCLEAR": "UNCLEAR",
-        },
-        ("source",): {
-            "STILL_PROCESSING": "STILL_PROCESSING",
-            "CLOUD": "CLOUD",
-            "USER": "USER",
-            "CLOUD_ENSEMBLE": "CLOUD_ENSEMBLE",
-            "ALGORITHM": "ALGORITHM",
-            "EDGE": "EDGE",
-        },
-        ("result_type",): {
-            "BINARY_CLASSIFICATION": "binary_classification",
-        },
-    }
+    allowed_values = {}
 
     validations = {
         ("confidence",): {
@@ -177,7 +160,7 @@ def _from_openapi_data(cls, label, *args, **kwargs):  # noqa: E501
                                 _visited_composed_classes = (Animal,)
             confidence (float, none_type): [optional]  # noqa: E501
             source (str): [optional]  # noqa: E501
-            result_type (str): [optional] if omitted the server will use the default value of "binary_classification"  # noqa: E501
+            result_type (str): [optional]  # noqa: E501
             from_edge (bool): [optional]  # noqa: E501
         """
 
@@ -269,7 +252,7 @@ def __init__(self, label, *args, **kwargs):  # noqa: E501
                                 _visited_composed_classes = (Animal,)
             confidence (float, none_type): [optional]  # noqa: E501
             source (str): [optional]  # noqa: E501
-            result_type (str): [optional] if omitted the server will use the default value of "binary_classification"  # noqa: E501
+            result_type (str): [optional]  # noqa: E501
             from_edge (bool): [optional]  # noqa: E501
         """
 
diff --git a/generated/groundlight_openapi_client/model/blank_enum.py b/generated/groundlight_openapi_client/model/blank_enum.py
index 31919708..aa466bb8 100644
--- a/generated/groundlight_openapi_client/model/blank_enum.py
+++ b/generated/groundlight_openapi_client/model/blank_enum.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/bounding_box_mode_configuration.py b/generated/groundlight_openapi_client/model/bounding_box_mode_configuration.py
index f78803b0..bcf98f27 100644
--- a/generated/groundlight_openapi_client/model/bounding_box_mode_configuration.py
+++ b/generated/groundlight_openapi_client/model/bounding_box_mode_configuration.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/bounding_box_result.py b/generated/groundlight_openapi_client/model/bounding_box_result.py
index 2a80e3d2..be4daaba 100644
--- a/generated/groundlight_openapi_client/model/bounding_box_result.py
+++ b/generated/groundlight_openapi_client/model/bounding_box_result.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
@@ -53,24 +53,7 @@ class BoundingBoxResult(ModelNormal):
           as additional properties values.
     """
 
-    allowed_values = {
-        ("label",): {
-            "BOUNDING_BOX": "BOUNDING_BOX",
-            "GREATER_THAN_MAX": "GREATER_THAN_MAX",
-            "UNCLEAR": "UNCLEAR",
-        },
-        ("source",): {
-            "STILL_PROCESSING": "STILL_PROCESSING",
-            "CLOUD": "CLOUD",
-            "USER": "USER",
-            "CLOUD_ENSEMBLE": "CLOUD_ENSEMBLE",
-            "ALGORITHM": "ALGORITHM",
-            "EDGE": "EDGE",
-        },
-        ("result_type",): {
-            "BOUNDING_BOX": "bounding_box",
-        },
-    }
+    allowed_values = {}
 
     validations = {
         ("confidence",): {
@@ -177,7 +160,7 @@ def _from_openapi_data(cls, label, *args, **kwargs):  # noqa: E501
                                 _visited_composed_classes = (Animal,)
             confidence (float, none_type): [optional]  # noqa: E501
             source (str): [optional]  # noqa: E501
-            result_type (str): [optional] if omitted the server will use the default value of "bounding_box"  # noqa: E501
+            result_type (str): [optional]  # noqa: E501
             from_edge (bool): [optional]  # noqa: E501
         """
 
@@ -269,7 +252,7 @@ def __init__(self, label, *args, **kwargs):  # noqa: E501
                                 _visited_composed_classes = (Animal,)
             confidence (float, none_type): [optional]  # noqa: E501
             source (str): [optional]  # noqa: E501
-            result_type (str): [optional] if omitted the server will use the default value of "bounding_box"  # noqa: E501
+            result_type (str): [optional]  # noqa: E501
             from_edge (bool): [optional]  # noqa: E501
         """
 
diff --git a/generated/groundlight_openapi_client/model/channel_enum.py b/generated/groundlight_openapi_client/model/channel_enum.py
index 2ad2285d..720dac0d 100644
--- a/generated/groundlight_openapi_client/model/channel_enum.py
+++ b/generated/groundlight_openapi_client/model/channel_enum.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/condition.py b/generated/groundlight_openapi_client/model/condition.py
index abdc7c4a..65a2861f 100644
--- a/generated/groundlight_openapi_client/model/condition.py
+++ b/generated/groundlight_openapi_client/model/condition.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
@@ -29,12 +29,6 @@
 from groundlight_openapi_client.exceptions import ApiAttributeError
 
 
-def lazy_import():
-    from groundlight_openapi_client.model.verb_enum import VerbEnum
-
-    globals()["VerbEnum"] = VerbEnum
-
-
 class Condition(ModelNormal):
     """NOTE: This class is auto generated by OpenAPI Generator.
     Ref: https://openapi-generator.tech
@@ -69,7 +63,6 @@ def additional_properties_type():
         This must be a method because a model may have properties that are
         of type self, this must run after the class is loaded
         """
-        lazy_import()
         return (
             bool,
             date,
@@ -94,9 +87,8 @@ def openapi_types():
             openapi_types (dict): The key is attribute name
                 and the value is attribute type.
         """
-        lazy_import()
         return {
-            "verb": (VerbEnum,),  # noqa: E501
+            "verb": (str,),  # noqa: E501
             "parameters": ({str: (bool, date, datetime, dict, float, int, list, str, none_type)},),  # noqa: E501
         }
 
@@ -119,7 +111,7 @@ def _from_openapi_data(cls, verb, parameters, *args, **kwargs):  # noqa: E501
         """Condition - a model defined in OpenAPI
 
         Args:
-            verb (VerbEnum):
+            verb (str):
             parameters ({str: (bool, date, datetime, dict, float, int, list, str, none_type)}):
 
         Keyword Args:
@@ -209,7 +201,7 @@ def __init__(self, verb, parameters, *args, **kwargs):  # noqa: E501
         """Condition - a model defined in OpenAPI
 
         Args:
-            verb (VerbEnum):
+            verb (str):
             parameters ({str: (bool, date, datetime, dict, float, int, list, str, none_type)}):
 
         Keyword Args:
diff --git a/generated/groundlight_openapi_client/model/condition_request.py b/generated/groundlight_openapi_client/model/condition_request.py
index dadfd994..674578a6 100644
--- a/generated/groundlight_openapi_client/model/condition_request.py
+++ b/generated/groundlight_openapi_client/model/condition_request.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
@@ -29,12 +29,6 @@
 from groundlight_openapi_client.exceptions import ApiAttributeError
 
 
-def lazy_import():
-    from groundlight_openapi_client.model.verb_enum import VerbEnum
-
-    globals()["VerbEnum"] = VerbEnum
-
-
 class ConditionRequest(ModelNormal):
     """NOTE: This class is auto generated by OpenAPI Generator.
     Ref: https://openapi-generator.tech
@@ -69,7 +63,6 @@ def additional_properties_type():
         This must be a method because a model may have properties that are
         of type self, this must run after the class is loaded
         """
-        lazy_import()
         return (
             bool,
             date,
@@ -94,9 +87,8 @@ def openapi_types():
             openapi_types (dict): The key is attribute name
                 and the value is attribute type.
         """
-        lazy_import()
         return {
-            "verb": (VerbEnum,),  # noqa: E501
+            "verb": (str,),  # noqa: E501
             "parameters": ({str: (bool, date, datetime, dict, float, int, list, str, none_type)},),  # noqa: E501
         }
 
@@ -119,7 +111,7 @@ def _from_openapi_data(cls, verb, parameters, *args, **kwargs):  # noqa: E501
         """ConditionRequest - a model defined in OpenAPI
 
         Args:
-            verb (VerbEnum):
+            verb (str):
             parameters ({str: (bool, date, datetime, dict, float, int, list, str, none_type)}):
 
         Keyword Args:
@@ -209,7 +201,7 @@ def __init__(self, verb, parameters, *args, **kwargs):  # noqa: E501
         """ConditionRequest - a model defined in OpenAPI
 
         Args:
-            verb (VerbEnum):
+            verb (str):
             parameters ({str: (bool, date, datetime, dict, float, int, list, str, none_type)}):
 
         Keyword Args:
diff --git a/generated/groundlight_openapi_client/model/count_mode_configuration.py b/generated/groundlight_openapi_client/model/count_mode_configuration.py
index 0068e9e9..9c2d3be9 100644
--- a/generated/groundlight_openapi_client/model/count_mode_configuration.py
+++ b/generated/groundlight_openapi_client/model/count_mode_configuration.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/counting_result.py b/generated/groundlight_openapi_client/model/counting_result.py
index 23266160..08d2f6db 100644
--- a/generated/groundlight_openapi_client/model/counting_result.py
+++ b/generated/groundlight_openapi_client/model/counting_result.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
@@ -53,19 +53,7 @@ class CountingResult(ModelNormal):
           as additional properties values.
     """
 
-    allowed_values = {
-        ("source",): {
-            "STILL_PROCESSING": "STILL_PROCESSING",
-            "CLOUD": "CLOUD",
-            "USER": "USER",
-            "CLOUD_ENSEMBLE": "CLOUD_ENSEMBLE",
-            "ALGORITHM": "ALGORITHM",
-            "EDGE": "EDGE",
-        },
-        ("result_type",): {
-            "COUNTING": "counting",
-        },
-    }
+    allowed_values = {}
 
     validations = {
         ("count",): {
@@ -180,7 +168,7 @@ def _from_openapi_data(cls, count, *args, **kwargs):  # noqa: E501
                                 _visited_composed_classes = (Animal,)
             confidence (float, none_type): [optional]  # noqa: E501
             source (str): [optional]  # noqa: E501
-            result_type (str): [optional] if omitted the server will use the default value of "counting"  # noqa: E501
+            result_type (str): [optional]  # noqa: E501
             from_edge (bool): [optional]  # noqa: E501
             greater_than_max (bool): [optional]  # noqa: E501
         """
@@ -273,7 +261,7 @@ def __init__(self, count, *args, **kwargs):  # noqa: E501
                                 _visited_composed_classes = (Animal,)
             confidence (float, none_type): [optional]  # noqa: E501
             source (str): [optional]  # noqa: E501
-            result_type (str): [optional] if omitted the server will use the default value of "counting"  # noqa: E501
+            result_type (str): [optional]  # noqa: E501
             from_edge (bool): [optional]  # noqa: E501
             greater_than_max (bool): [optional]  # noqa: E501
         """
diff --git a/generated/groundlight_openapi_client/model/detector.py b/generated/groundlight_openapi_client/model/detector.py
index 99d4c04d..2cde7991 100644
--- a/generated/groundlight_openapi_client/model/detector.py
+++ b/generated/groundlight_openapi_client/model/detector.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
@@ -32,14 +32,10 @@
 def lazy_import():
     from groundlight_openapi_client.model.blank_enum import BlankEnum
     from groundlight_openapi_client.model.detector_type_enum import DetectorTypeEnum
-    from groundlight_openapi_client.model.escalation_type_enum import EscalationTypeEnum
-    from groundlight_openapi_client.model.mode_enum import ModeEnum
     from groundlight_openapi_client.model.status_enum import StatusEnum
 
     globals()["BlankEnum"] = BlankEnum
     globals()["DetectorTypeEnum"] = DetectorTypeEnum
-    globals()["EscalationTypeEnum"] = EscalationTypeEnum
-    globals()["ModeEnum"] = ModeEnum
     globals()["StatusEnum"] = StatusEnum
 
 
@@ -136,17 +132,7 @@ def openapi_types():
                 {str: (bool, date, datetime, dict, float, int, list, str, none_type)},
                 none_type,
             ),  # noqa: E501
-            "mode": (
-                bool,
-                date,
-                datetime,
-                dict,
-                float,
-                int,
-                list,
-                str,
-                none_type,
-            ),  # noqa: E501
+            "mode": (str,),  # noqa: E501
             "mode_configuration": (
                 {str: (bool, date, datetime, dict, float, int, list, str, none_type)},
                 none_type,
@@ -164,17 +150,7 @@ def openapi_types():
                 str,
                 none_type,
             ),  # noqa: E501
-            "escalation_type": (
-                bool,
-                date,
-                datetime,
-                dict,
-                float,
-                int,
-                list,
-                str,
-                none_type,
-            ),  # noqa: E501
+            "escalation_type": (str,),  # noqa: E501
         }
 
     @cached_property
@@ -225,7 +201,7 @@ def _from_openapi_data(
             query (str): A question about the image.
             group_name (str): Which group should this detector be part of?
             metadata ({str: (bool, date, datetime, dict, float, int, list, str, none_type)}, none_type): Metadata about the detector.
-            mode (bool, date, datetime, dict, float, int, list, str, none_type):
+            mode (str):
             mode_configuration ({str: (bool, date, datetime, dict, float, int, list, str, none_type)}, none_type):
 
         Keyword Args:
@@ -262,7 +238,7 @@ def _from_openapi_data(
             confidence_threshold (float): If the detector's prediction is below this confidence threshold, send the image query for human review.. [optional] if omitted the server will use the default value of 0.9  # noqa: E501
             patience_time (float): How long Groundlight will attempt to generate a confident prediction. [optional] if omitted the server will use the default value of 30.0  # noqa: E501
             status (bool, date, datetime, dict, float, int, list, str, none_type): [optional]  # noqa: E501
-            escalation_type (bool, date, datetime, dict, float, int, list, str, none_type): Category that define internal proccess for labeling image queries  * `STANDARD` - STANDARD * `NO_HUMAN_LABELING` - NO_HUMAN_LABELING. [optional]  # noqa: E501
+            escalation_type (str): [optional]  # noqa: E501
         """
 
         _check_type = kwargs.pop("_check_type", True)
@@ -360,7 +336,7 @@ def __init__(self, name, *args, **kwargs):  # noqa: E501
             confidence_threshold (float): If the detector's prediction is below this confidence threshold, send the image query for human review.. [optional] if omitted the server will use the default value of 0.9  # noqa: E501
             patience_time (float): How long Groundlight will attempt to generate a confident prediction. [optional] if omitted the server will use the default value of 30.0  # noqa: E501
             status (bool, date, datetime, dict, float, int, list, str, none_type): [optional]  # noqa: E501
-            escalation_type (bool, date, datetime, dict, float, int, list, str, none_type): Category that define internal proccess for labeling image queries  * `STANDARD` - STANDARD * `NO_HUMAN_LABELING` - NO_HUMAN_LABELING. [optional]  # noqa: E501
+            escalation_type (str): [optional]  # noqa: E501
         """
 
         _check_type = kwargs.pop("_check_type", True)
diff --git a/generated/groundlight_openapi_client/model/detector_creation_input_request.py b/generated/groundlight_openapi_client/model/detector_creation_input_request.py
index dc8f5011..ca1b1563 100644
--- a/generated/groundlight_openapi_client/model/detector_creation_input_request.py
+++ b/generated/groundlight_openapi_client/model/detector_creation_input_request.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/detector_group.py b/generated/groundlight_openapi_client/model/detector_group.py
index 8ada556e..5620b0c9 100644
--- a/generated/groundlight_openapi_client/model/detector_group.py
+++ b/generated/groundlight_openapi_client/model/detector_group.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/detector_group_request.py b/generated/groundlight_openapi_client/model/detector_group_request.py
index 95131dd1..3302860f 100644
--- a/generated/groundlight_openapi_client/model/detector_group_request.py
+++ b/generated/groundlight_openapi_client/model/detector_group_request.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/detector_type_enum.py b/generated/groundlight_openapi_client/model/detector_type_enum.py
index 8b9a770d..94d446da 100644
--- a/generated/groundlight_openapi_client/model/detector_type_enum.py
+++ b/generated/groundlight_openapi_client/model/detector_type_enum.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/edge_model_info.py b/generated/groundlight_openapi_client/model/edge_model_info.py
index 635ee58c..66826368 100644
--- a/generated/groundlight_openapi_client/model/edge_model_info.py
+++ b/generated/groundlight_openapi_client/model/edge_model_info.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/escalation_type_enum.py b/generated/groundlight_openapi_client/model/escalation_type_enum.py
index 0a9335dc..2b80360e 100644
--- a/generated/groundlight_openapi_client/model/escalation_type_enum.py
+++ b/generated/groundlight_openapi_client/model/escalation_type_enum.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
@@ -102,10 +102,10 @@ def __init__(self, *args, **kwargs):
         Note that value can be passed either in args or in kwargs, but not in both.
 
         Args:
-            args[0] (str): * `STANDARD` - STANDARD * `NO_HUMAN_LABELING` - NO_HUMAN_LABELING., must be one of ["STANDARD", "NO_HUMAN_LABELING", ]  # noqa: E501
+            args[0] (str):, must be one of ["STANDARD", "NO_HUMAN_LABELING", ]  # noqa: E501
 
         Keyword Args:
-            value (str): * `STANDARD` - STANDARD * `NO_HUMAN_LABELING` - NO_HUMAN_LABELING., must be one of ["STANDARD", "NO_HUMAN_LABELING", ]  # noqa: E501
+            value (str):, must be one of ["STANDARD", "NO_HUMAN_LABELING", ]  # noqa: E501
             _check_type (bool): if True, values for parameters in openapi_types
                                 will be type checked and a TypeError will be
                                 raised if the wrong type is input.
@@ -194,10 +194,10 @@ def _from_openapi_data(cls, *args, **kwargs):
         Note that value can be passed either in args or in kwargs, but not in both.
 
         Args:
-            args[0] (str): * `STANDARD` - STANDARD * `NO_HUMAN_LABELING` - NO_HUMAN_LABELING., must be one of ["STANDARD", "NO_HUMAN_LABELING", ]  # noqa: E501
+            args[0] (str):, must be one of ["STANDARD", "NO_HUMAN_LABELING", ]  # noqa: E501
 
         Keyword Args:
-            value (str): * `STANDARD` - STANDARD * `NO_HUMAN_LABELING` - NO_HUMAN_LABELING., must be one of ["STANDARD", "NO_HUMAN_LABELING", ]  # noqa: E501
+            value (str):, must be one of ["STANDARD", "NO_HUMAN_LABELING", ]  # noqa: E501
             _check_type (bool): if True, values for parameters in openapi_types
                                 will be type checked and a TypeError will be
                                 raised if the wrong type is input.
diff --git a/generated/groundlight_openapi_client/model/image_query.py b/generated/groundlight_openapi_client/model/image_query.py
index 80b967b3..79cf0179 100644
--- a/generated/groundlight_openapi_client/model/image_query.py
+++ b/generated/groundlight_openapi_client/model/image_query.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/image_query_type_enum.py b/generated/groundlight_openapi_client/model/image_query_type_enum.py
index f1c2367a..42470730 100644
--- a/generated/groundlight_openapi_client/model/image_query_type_enum.py
+++ b/generated/groundlight_openapi_client/model/image_query_type_enum.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/inline_response200.py b/generated/groundlight_openapi_client/model/inline_response200.py
index 2a04fb2b..62e2494f 100644
--- a/generated/groundlight_openapi_client/model/inline_response200.py
+++ b/generated/groundlight_openapi_client/model/inline_response200.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/inline_response2001.py b/generated/groundlight_openapi_client/model/inline_response2001.py
index 45c049c5..cdb30032 100644
--- a/generated/groundlight_openapi_client/model/inline_response2001.py
+++ b/generated/groundlight_openapi_client/model/inline_response2001.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/inline_response2001_evaluation_results.py b/generated/groundlight_openapi_client/model/inline_response2001_evaluation_results.py
index bd9ce9cc..e3221b58 100644
--- a/generated/groundlight_openapi_client/model/inline_response2001_evaluation_results.py
+++ b/generated/groundlight_openapi_client/model/inline_response2001_evaluation_results.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/inline_response2002.py b/generated/groundlight_openapi_client/model/inline_response2002.py
index cc2ddd6c..1fbfd51d 100644
--- a/generated/groundlight_openapi_client/model/inline_response2002.py
+++ b/generated/groundlight_openapi_client/model/inline_response2002.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/inline_response200_summary.py b/generated/groundlight_openapi_client/model/inline_response200_summary.py
index 278368a6..d5c30a12 100644
--- a/generated/groundlight_openapi_client/model/inline_response200_summary.py
+++ b/generated/groundlight_openapi_client/model/inline_response200_summary.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/inline_response200_summary_class_counts.py b/generated/groundlight_openapi_client/model/inline_response200_summary_class_counts.py
index e30fffbf..b2eb180b 100644
--- a/generated/groundlight_openapi_client/model/inline_response200_summary_class_counts.py
+++ b/generated/groundlight_openapi_client/model/inline_response200_summary_class_counts.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/label_value.py b/generated/groundlight_openapi_client/model/label_value.py
index 8361b9a2..ee9b73e9 100644
--- a/generated/groundlight_openapi_client/model/label_value.py
+++ b/generated/groundlight_openapi_client/model/label_value.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
@@ -30,13 +30,9 @@
 
 
 def lazy_import():
-    from groundlight_openapi_client.model.annotations_requested_enum import AnnotationsRequestedEnum
     from groundlight_openapi_client.model.roi import ROI
-    from groundlight_openapi_client.model.source_enum import SourceEnum
 
-    globals()["AnnotationsRequestedEnum"] = AnnotationsRequestedEnum
     globals()["ROI"] = ROI
-    globals()["SourceEnum"] = SourceEnum
 
 
 class LabelValue(ModelNormal):
@@ -108,23 +104,13 @@ def openapi_types():
                 str,
                 none_type,
             ),  # noqa: E501
-            "annotations_requested": ([bool, date, datetime, dict, float, int, list, str, none_type],),  # noqa: E501
+            "annotations_requested": ([str],),  # noqa: E501
             "created_at": (datetime,),  # noqa: E501
             "detector_id": (
                 int,
                 none_type,
             ),  # noqa: E501
-            "source": (
-                bool,
-                date,
-                datetime,
-                dict,
-                float,
-                int,
-                list,
-                str,
-                none_type,
-            ),  # noqa: E501
+            "source": (str,),  # noqa: E501
             "text": (
                 str,
                 none_type,
@@ -172,10 +158,10 @@ def _from_openapi_data(
         Args:
             confidence (float, none_type):
             class_name (str, none_type): Return a human-readable class name for this label (e.g. YES/NO)
-            annotations_requested ([bool, date, datetime, dict, float, int, list, str, none_type]):
+            annotations_requested ([str]):
             created_at (datetime):
             detector_id (int, none_type):
-            source (bool, date, datetime, dict, float, int, list, str, none_type):
+            source (str):
             text (str, none_type): Text annotations
 
         Keyword Args:
diff --git a/generated/groundlight_openapi_client/model/label_value_request.py b/generated/groundlight_openapi_client/model/label_value_request.py
index a940f5a1..434f8ad8 100644
--- a/generated/groundlight_openapi_client/model/label_value_request.py
+++ b/generated/groundlight_openapi_client/model/label_value_request.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/mode_enum.py b/generated/groundlight_openapi_client/model/mode_enum.py
index 6c477520..b35a3833 100644
--- a/generated/groundlight_openapi_client/model/mode_enum.py
+++ b/generated/groundlight_openapi_client/model/mode_enum.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/multi_class_mode_configuration.py b/generated/groundlight_openapi_client/model/multi_class_mode_configuration.py
index 8a47db85..f08ee27c 100644
--- a/generated/groundlight_openapi_client/model/multi_class_mode_configuration.py
+++ b/generated/groundlight_openapi_client/model/multi_class_mode_configuration.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/multi_classification_result.py b/generated/groundlight_openapi_client/model/multi_classification_result.py
index e2b1d822..798c1615 100644
--- a/generated/groundlight_openapi_client/model/multi_classification_result.py
+++ b/generated/groundlight_openapi_client/model/multi_classification_result.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
@@ -53,19 +53,7 @@ class MultiClassificationResult(ModelNormal):
           as additional properties values.
     """
 
-    allowed_values = {
-        ("source",): {
-            "STILL_PROCESSING": "STILL_PROCESSING",
-            "CLOUD": "CLOUD",
-            "USER": "USER",
-            "CLOUD_ENSEMBLE": "CLOUD_ENSEMBLE",
-            "ALGORITHM": "ALGORITHM",
-            "EDGE": "EDGE",
-        },
-        ("result_type",): {
-            "MULTI_CLASSIFICATION": "multi_classification",
-        },
-    }
+    allowed_values = {}
 
     validations = {
         ("confidence",): {
@@ -172,7 +160,7 @@ def _from_openapi_data(cls, label, *args, **kwargs):  # noqa: E501
                                 _visited_composed_classes = (Animal,)
             confidence (float, none_type): [optional]  # noqa: E501
             source (str): [optional]  # noqa: E501
-            result_type (str): [optional] if omitted the server will use the default value of "multi_classification"  # noqa: E501
+            result_type (str): [optional]  # noqa: E501
             from_edge (bool): [optional]  # noqa: E501
         """
 
@@ -264,7 +252,7 @@ def __init__(self, label, *args, **kwargs):  # noqa: E501
                                 _visited_composed_classes = (Animal,)
             confidence (float, none_type): [optional]  # noqa: E501
             source (str): [optional]  # noqa: E501
-            result_type (str): [optional] if omitted the server will use the default value of "multi_classification"  # noqa: E501
+            result_type (str): [optional]  # noqa: E501
             from_edge (bool): [optional]  # noqa: E501
         """
 
diff --git a/generated/groundlight_openapi_client/model/note.py b/generated/groundlight_openapi_client/model/note.py
index 6fdffe42..64f139a7 100644
--- a/generated/groundlight_openapi_client/model/note.py
+++ b/generated/groundlight_openapi_client/model/note.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/note_request.py b/generated/groundlight_openapi_client/model/note_request.py
index 0df28f64..95889010 100644
--- a/generated/groundlight_openapi_client/model/note_request.py
+++ b/generated/groundlight_openapi_client/model/note_request.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/paginated_detector_list.py b/generated/groundlight_openapi_client/model/paginated_detector_list.py
index 8a657572..5972205e 100644
--- a/generated/groundlight_openapi_client/model/paginated_detector_list.py
+++ b/generated/groundlight_openapi_client/model/paginated_detector_list.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/paginated_image_query_list.py b/generated/groundlight_openapi_client/model/paginated_image_query_list.py
index c8a91fab..13dccab7 100644
--- a/generated/groundlight_openapi_client/model/paginated_image_query_list.py
+++ b/generated/groundlight_openapi_client/model/paginated_image_query_list.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/paginated_rule_list.py b/generated/groundlight_openapi_client/model/paginated_rule_list.py
index 348b454d..6d007e1d 100644
--- a/generated/groundlight_openapi_client/model/paginated_rule_list.py
+++ b/generated/groundlight_openapi_client/model/paginated_rule_list.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/patched_detector_request.py b/generated/groundlight_openapi_client/model/patched_detector_request.py
index b6a81c4d..7e7a5813 100644
--- a/generated/groundlight_openapi_client/model/patched_detector_request.py
+++ b/generated/groundlight_openapi_client/model/patched_detector_request.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
@@ -31,11 +31,9 @@
 
 def lazy_import():
     from groundlight_openapi_client.model.blank_enum import BlankEnum
-    from groundlight_openapi_client.model.escalation_type_enum import EscalationTypeEnum
     from groundlight_openapi_client.model.status_enum import StatusEnum
 
     globals()["BlankEnum"] = BlankEnum
-    globals()["EscalationTypeEnum"] = EscalationTypeEnum
     globals()["StatusEnum"] = StatusEnum
 
 
@@ -78,6 +76,9 @@ class PatchedDetectorRequest(ModelNormal):
             "inclusive_maximum": 3600,
             "inclusive_minimum": 0,
         },
+        ("escalation_type",): {
+            "min_length": 1,
+        },
     }
 
     @cached_property
@@ -127,17 +128,7 @@ def openapi_types():
                 str,
                 none_type,
             ),  # noqa: E501
-            "escalation_type": (
-                bool,
-                date,
-                datetime,
-                dict,
-                float,
-                int,
-                list,
-                str,
-                none_type,
-            ),  # noqa: E501
+            "escalation_type": (str,),  # noqa: E501
         }
 
     @cached_property
@@ -196,7 +187,7 @@ def _from_openapi_data(cls, *args, **kwargs):  # noqa: E501
             confidence_threshold (float): If the detector's prediction is below this confidence threshold, send the image query for human review.. [optional] if omitted the server will use the default value of 0.9  # noqa: E501
             patience_time (float): How long Groundlight will attempt to generate a confident prediction. [optional] if omitted the server will use the default value of 30.0  # noqa: E501
             status (bool, date, datetime, dict, float, int, list, str, none_type): [optional]  # noqa: E501
-            escalation_type (bool, date, datetime, dict, float, int, list, str, none_type): Category that define internal proccess for labeling image queries  * `STANDARD` - STANDARD * `NO_HUMAN_LABELING` - NO_HUMAN_LABELING. [optional]  # noqa: E501
+            escalation_type (str): [optional]  # noqa: E501
         """
 
         _check_type = kwargs.pop("_check_type", True)
@@ -285,7 +276,7 @@ def __init__(self, *args, **kwargs):  # noqa: E501
             confidence_threshold (float): If the detector's prediction is below this confidence threshold, send the image query for human review.. [optional] if omitted the server will use the default value of 0.9  # noqa: E501
             patience_time (float): How long Groundlight will attempt to generate a confident prediction. [optional] if omitted the server will use the default value of 30.0  # noqa: E501
             status (bool, date, datetime, dict, float, int, list, str, none_type): [optional]  # noqa: E501
-            escalation_type (bool, date, datetime, dict, float, int, list, str, none_type): Category that define internal proccess for labeling image queries  * `STANDARD` - STANDARD * `NO_HUMAN_LABELING` - NO_HUMAN_LABELING. [optional]  # noqa: E501
+            escalation_type (str): [optional]  # noqa: E501
         """
 
         _check_type = kwargs.pop("_check_type", True)
diff --git a/generated/groundlight_openapi_client/model/payload_template.py b/generated/groundlight_openapi_client/model/payload_template.py
index c4bae06c..a721bb4c 100644
--- a/generated/groundlight_openapi_client/model/payload_template.py
+++ b/generated/groundlight_openapi_client/model/payload_template.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/payload_template_request.py b/generated/groundlight_openapi_client/model/payload_template_request.py
index adc9050f..3a0f12a2 100644
--- a/generated/groundlight_openapi_client/model/payload_template_request.py
+++ b/generated/groundlight_openapi_client/model/payload_template_request.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/result_type_enum.py b/generated/groundlight_openapi_client/model/result_type_enum.py
index 5c1f2c7c..c4b954fd 100644
--- a/generated/groundlight_openapi_client/model/result_type_enum.py
+++ b/generated/groundlight_openapi_client/model/result_type_enum.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/roi.py b/generated/groundlight_openapi_client/model/roi.py
index 443d0c07..74c4fc66 100644
--- a/generated/groundlight_openapi_client/model/roi.py
+++ b/generated/groundlight_openapi_client/model/roi.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/roi_request.py b/generated/groundlight_openapi_client/model/roi_request.py
index 366c673b..07fb54e2 100644
--- a/generated/groundlight_openapi_client/model/roi_request.py
+++ b/generated/groundlight_openapi_client/model/roi_request.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/rule.py b/generated/groundlight_openapi_client/model/rule.py
index 874ab7f3..7f1be14a 100644
--- a/generated/groundlight_openapi_client/model/rule.py
+++ b/generated/groundlight_openapi_client/model/rule.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/rule_request.py b/generated/groundlight_openapi_client/model/rule_request.py
index 9fb7ba11..8fdf8fe1 100644
--- a/generated/groundlight_openapi_client/model/rule_request.py
+++ b/generated/groundlight_openapi_client/model/rule_request.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/snooze_time_unit_enum.py b/generated/groundlight_openapi_client/model/snooze_time_unit_enum.py
index 63eb1c41..f5586bb6 100644
--- a/generated/groundlight_openapi_client/model/snooze_time_unit_enum.py
+++ b/generated/groundlight_openapi_client/model/snooze_time_unit_enum.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/source_enum.py b/generated/groundlight_openapi_client/model/source_enum.py
index 9ad77b6c..8a2746ab 100644
--- a/generated/groundlight_openapi_client/model/source_enum.py
+++ b/generated/groundlight_openapi_client/model/source_enum.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
@@ -108,10 +108,10 @@ def __init__(self, *args, **kwargs):
         Note that value can be passed either in args or in kwargs, but not in both.
 
         Args:
-            args[0] (str): * `INITIAL_PLACEHOLDER` - InitialPlaceholder * `CLOUD` - HumanCloud * `CUST` - HumanCustomer * `HUMAN_CLOUD_ENSEMBLE` - HumanCloudEnsemble * `ALG` - Algorithm * `ALG_REC` - AlgorithmReconciled * `ALG_UNCLEAR` - AlgorithmUnclear * `EDGE` - EDGE., must be one of ["INITIAL_PLACEHOLDER", "CLOUD", "CUST", "HUMAN_CLOUD_ENSEMBLE", "ALG", "ALG_REC", "ALG_UNCLEAR", "EDGE", ]  # noqa: E501
+            args[0] (str):, must be one of ["INITIAL_PLACEHOLDER", "CLOUD", "CUST", "HUMAN_CLOUD_ENSEMBLE", "ALG", "ALG_REC", "ALG_UNCLEAR", "EDGE", ]  # noqa: E501
 
         Keyword Args:
-            value (str): * `INITIAL_PLACEHOLDER` - InitialPlaceholder * `CLOUD` - HumanCloud * `CUST` - HumanCustomer * `HUMAN_CLOUD_ENSEMBLE` - HumanCloudEnsemble * `ALG` - Algorithm * `ALG_REC` - AlgorithmReconciled * `ALG_UNCLEAR` - AlgorithmUnclear * `EDGE` - EDGE., must be one of ["INITIAL_PLACEHOLDER", "CLOUD", "CUST", "HUMAN_CLOUD_ENSEMBLE", "ALG", "ALG_REC", "ALG_UNCLEAR", "EDGE", ]  # noqa: E501
+            value (str):, must be one of ["INITIAL_PLACEHOLDER", "CLOUD", "CUST", "HUMAN_CLOUD_ENSEMBLE", "ALG", "ALG_REC", "ALG_UNCLEAR", "EDGE", ]  # noqa: E501
             _check_type (bool): if True, values for parameters in openapi_types
                                 will be type checked and a TypeError will be
                                 raised if the wrong type is input.
@@ -200,10 +200,10 @@ def _from_openapi_data(cls, *args, **kwargs):
         Note that value can be passed either in args or in kwargs, but not in both.
 
         Args:
-            args[0] (str): * `INITIAL_PLACEHOLDER` - InitialPlaceholder * `CLOUD` - HumanCloud * `CUST` - HumanCustomer * `HUMAN_CLOUD_ENSEMBLE` - HumanCloudEnsemble * `ALG` - Algorithm * `ALG_REC` - AlgorithmReconciled * `ALG_UNCLEAR` - AlgorithmUnclear * `EDGE` - EDGE., must be one of ["INITIAL_PLACEHOLDER", "CLOUD", "CUST", "HUMAN_CLOUD_ENSEMBLE", "ALG", "ALG_REC", "ALG_UNCLEAR", "EDGE", ]  # noqa: E501
+            args[0] (str):, must be one of ["INITIAL_PLACEHOLDER", "CLOUD", "CUST", "HUMAN_CLOUD_ENSEMBLE", "ALG", "ALG_REC", "ALG_UNCLEAR", "EDGE", ]  # noqa: E501
 
         Keyword Args:
-            value (str): * `INITIAL_PLACEHOLDER` - InitialPlaceholder * `CLOUD` - HumanCloud * `CUST` - HumanCustomer * `HUMAN_CLOUD_ENSEMBLE` - HumanCloudEnsemble * `ALG` - Algorithm * `ALG_REC` - AlgorithmReconciled * `ALG_UNCLEAR` - AlgorithmUnclear * `EDGE` - EDGE., must be one of ["INITIAL_PLACEHOLDER", "CLOUD", "CUST", "HUMAN_CLOUD_ENSEMBLE", "ALG", "ALG_REC", "ALG_UNCLEAR", "EDGE", ]  # noqa: E501
+            value (str):, must be one of ["INITIAL_PLACEHOLDER", "CLOUD", "CUST", "HUMAN_CLOUD_ENSEMBLE", "ALG", "ALG_REC", "ALG_UNCLEAR", "EDGE", ]  # noqa: E501
             _check_type (bool): if True, values for parameters in openapi_types
                                 will be type checked and a TypeError will be
                                 raised if the wrong type is input.
diff --git a/generated/groundlight_openapi_client/model/status_enum.py b/generated/groundlight_openapi_client/model/status_enum.py
index 7d697180..b41c2871 100644
--- a/generated/groundlight_openapi_client/model/status_enum.py
+++ b/generated/groundlight_openapi_client/model/status_enum.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/text_mode_configuration.py b/generated/groundlight_openapi_client/model/text_mode_configuration.py
index 67897d83..ee4c4e73 100644
--- a/generated/groundlight_openapi_client/model/text_mode_configuration.py
+++ b/generated/groundlight_openapi_client/model/text_mode_configuration.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/text_recognition_result.py b/generated/groundlight_openapi_client/model/text_recognition_result.py
index de07c128..e0937650 100644
--- a/generated/groundlight_openapi_client/model/text_recognition_result.py
+++ b/generated/groundlight_openapi_client/model/text_recognition_result.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
@@ -53,19 +53,7 @@ class TextRecognitionResult(ModelNormal):
           as additional properties values.
     """
 
-    allowed_values = {
-        ("source",): {
-            "STILL_PROCESSING": "STILL_PROCESSING",
-            "CLOUD": "CLOUD",
-            "USER": "USER",
-            "CLOUD_ENSEMBLE": "CLOUD_ENSEMBLE",
-            "ALGORITHM": "ALGORITHM",
-            "EDGE": "EDGE",
-        },
-        ("result_type",): {
-            "TEXT_RECOGNITION": "text_recognition",
-        },
-    }
+    allowed_values = {}
 
     validations = {
         ("confidence",): {
@@ -178,7 +166,7 @@ def _from_openapi_data(cls, text, truncated, *args, **kwargs):  # noqa: E501
                                 _visited_composed_classes = (Animal,)
             confidence (float, none_type): [optional]  # noqa: E501
             source (str): [optional]  # noqa: E501
-            result_type (str): [optional] if omitted the server will use the default value of "text_recognition"  # noqa: E501
+            result_type (str): [optional]  # noqa: E501
             from_edge (bool): [optional]  # noqa: E501
         """
 
@@ -272,7 +260,7 @@ def __init__(self, text, truncated, *args, **kwargs):  # noqa: E501
                                 _visited_composed_classes = (Animal,)
             confidence (float, none_type): [optional]  # noqa: E501
             source (str): [optional]  # noqa: E501
-            result_type (str): [optional] if omitted the server will use the default value of "text_recognition"  # noqa: E501
+            result_type (str): [optional]  # noqa: E501
             from_edge (bool): [optional]  # noqa: E501
         """
 
diff --git a/generated/groundlight_openapi_client/model/verb_enum.py b/generated/groundlight_openapi_client/model/verb_enum.py
index e3f77857..789dd77c 100644
--- a/generated/groundlight_openapi_client/model/verb_enum.py
+++ b/generated/groundlight_openapi_client/model/verb_enum.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
@@ -105,10 +105,10 @@ def __init__(self, *args, **kwargs):
         Note that value can be passed either in args or in kwargs, but not in both.
 
         Args:
-            args[0] (str): * `ANSWERED_CONSECUTIVELY` - ANSWERED_CONSECUTIVELY * `ANSWERED_WITHIN_TIME` - ANSWERED_WITHIN_TIME * `CHANGED_TO` - CHANGED_TO * `NO_CHANGE` - NO_CHANGE * `NO_QUERIES` - NO_QUERIES., must be one of ["ANSWERED_CONSECUTIVELY", "ANSWERED_WITHIN_TIME", "CHANGED_TO", "NO_CHANGE", "NO_QUERIES", ]  # noqa: E501
+            args[0] (str):, must be one of ["ANSWERED_CONSECUTIVELY", "ANSWERED_WITHIN_TIME", "CHANGED_TO", "NO_CHANGE", "NO_QUERIES", ]  # noqa: E501
 
         Keyword Args:
-            value (str): * `ANSWERED_CONSECUTIVELY` - ANSWERED_CONSECUTIVELY * `ANSWERED_WITHIN_TIME` - ANSWERED_WITHIN_TIME * `CHANGED_TO` - CHANGED_TO * `NO_CHANGE` - NO_CHANGE * `NO_QUERIES` - NO_QUERIES., must be one of ["ANSWERED_CONSECUTIVELY", "ANSWERED_WITHIN_TIME", "CHANGED_TO", "NO_CHANGE", "NO_QUERIES", ]  # noqa: E501
+            value (str):, must be one of ["ANSWERED_CONSECUTIVELY", "ANSWERED_WITHIN_TIME", "CHANGED_TO", "NO_CHANGE", "NO_QUERIES", ]  # noqa: E501
             _check_type (bool): if True, values for parameters in openapi_types
                                 will be type checked and a TypeError will be
                                 raised if the wrong type is input.
@@ -197,10 +197,10 @@ def _from_openapi_data(cls, *args, **kwargs):
         Note that value can be passed either in args or in kwargs, but not in both.
 
         Args:
-            args[0] (str): * `ANSWERED_CONSECUTIVELY` - ANSWERED_CONSECUTIVELY * `ANSWERED_WITHIN_TIME` - ANSWERED_WITHIN_TIME * `CHANGED_TO` - CHANGED_TO * `NO_CHANGE` - NO_CHANGE * `NO_QUERIES` - NO_QUERIES., must be one of ["ANSWERED_CONSECUTIVELY", "ANSWERED_WITHIN_TIME", "CHANGED_TO", "NO_CHANGE", "NO_QUERIES", ]  # noqa: E501
+            args[0] (str):, must be one of ["ANSWERED_CONSECUTIVELY", "ANSWERED_WITHIN_TIME", "CHANGED_TO", "NO_CHANGE", "NO_QUERIES", ]  # noqa: E501
 
         Keyword Args:
-            value (str): * `ANSWERED_CONSECUTIVELY` - ANSWERED_CONSECUTIVELY * `ANSWERED_WITHIN_TIME` - ANSWERED_WITHIN_TIME * `CHANGED_TO` - CHANGED_TO * `NO_CHANGE` - NO_CHANGE * `NO_QUERIES` - NO_QUERIES., must be one of ["ANSWERED_CONSECUTIVELY", "ANSWERED_WITHIN_TIME", "CHANGED_TO", "NO_CHANGE", "NO_QUERIES", ]  # noqa: E501
+            value (str):, must be one of ["ANSWERED_CONSECUTIVELY", "ANSWERED_WITHIN_TIME", "CHANGED_TO", "NO_CHANGE", "NO_QUERIES", ]  # noqa: E501
             _check_type (bool): if True, values for parameters in openapi_types
                                 will be type checked and a TypeError will be
                                 raised if the wrong type is input.
diff --git a/generated/groundlight_openapi_client/model/webhook_action.py b/generated/groundlight_openapi_client/model/webhook_action.py
index 8bd4fc73..33f70f3c 100644
--- a/generated/groundlight_openapi_client/model/webhook_action.py
+++ b/generated/groundlight_openapi_client/model/webhook_action.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model/webhook_action_request.py b/generated/groundlight_openapi_client/model/webhook_action_request.py
index 1cf055f8..cd98a99b 100644
--- a/generated/groundlight_openapi_client/model/webhook_action_request.py
+++ b/generated/groundlight_openapi_client/model/webhook_action_request.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/model_utils.py b/generated/groundlight_openapi_client/model_utils.py
index 660d902a..cf7bd6d4 100644
--- a/generated/groundlight_openapi_client/model_utils.py
+++ b/generated/groundlight_openapi_client/model_utils.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/groundlight_openapi_client/rest.py b/generated/groundlight_openapi_client/rest.py
index 14aa376b..16d8ca86 100644
--- a/generated/groundlight_openapi_client/rest.py
+++ b/generated/groundlight_openapi_client/rest.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/generated/model.py b/generated/model.py
index 642ea9e8..bf04bc1a 100644
--- a/generated/model.py
+++ b/generated/model.py
@@ -1,6 +1,6 @@
 # generated by datamodel-codegen:
 #   filename:  public-api.yaml
-#   timestamp: 2025-04-02T04:12:45+00:00
+#   timestamp: 2025-04-02T20:50:30+00:00
 
 from __future__ import annotations
 
@@ -11,16 +11,6 @@
 from pydantic import AnyUrl, BaseModel, Field, RootModel, confloat, conint, constr
 
 
-class AnnotationsRequestedEnum(str, Enum):
-    """
-    * `BINARY_CLASSIFICATION` - Binary Classification
-    * `BOUNDING_BOXES` - Bounding Boxes
-    """
-
-    BINARY_CLASSIFICATION = "BINARY_CLASSIFICATION"
-    BOUNDING_BOXES = "BOUNDING_BOXES"
-
-
 class BBoxGeometry(BaseModel):
     """
     Mixin for serializers to handle data in the StrictBaseModel format
@@ -49,6 +39,16 @@ class BlankEnum(Enum):
     field_ = ""
 
 
+class Condition(BaseModel):
+    verb: str
+    parameters: Dict[str, Any]
+
+
+class ConditionRequest(BaseModel):
+    verb: str
+    parameters: Dict[str, Any]
+
+
 class DetectorGroup(BaseModel):
     id: str
     name: constr(max_length=100)
@@ -76,16 +76,6 @@ class EdgeModelInfo(BaseModel):
     predictor_metadata: Optional[Any] = None
 
 
-class EscalationTypeEnum(str, Enum):
-    """
-    * `STANDARD` - STANDARD
-    * `NO_HUMAN_LABELING` - NO_HUMAN_LABELING
-    """
-
-    STANDARD = "STANDARD"
-    NO_HUMAN_LABELING = "NO_HUMAN_LABELING"
-
-
 class ImageQueryTypeEnum(str, Enum):
     image_query = "image_query"
 
@@ -161,28 +151,6 @@ class SnoozeTimeUnitEnum(str, Enum):
     SECONDS = "SECONDS"
 
 
-class SourceEnum(str, Enum):
-    """
-    * `INITIAL_PLACEHOLDER` - InitialPlaceholder
-    * `CLOUD` - HumanCloud
-    * `CUST` - HumanCustomer
-    * `HUMAN_CLOUD_ENSEMBLE` - HumanCloudEnsemble
-    * `ALG` - Algorithm
-    * `ALG_REC` - AlgorithmReconciled
-    * `ALG_UNCLEAR` - AlgorithmUnclear
-    * `EDGE` - EDGE
-    """
-
-    INITIAL_PLACEHOLDER = "INITIAL_PLACEHOLDER"
-    CLOUD = "CLOUD"
-    CUST = "CUST"
-    HUMAN_CLOUD_ENSEMBLE = "HUMAN_CLOUD_ENSEMBLE"
-    ALG = "ALG"
-    ALG_REC = "ALG_REC"
-    ALG_UNCLEAR = "ALG_UNCLEAR"
-    EDGE = "EDGE"
-
-
 class StatusEnum(str, Enum):
     """
     * `ON` - ON
@@ -193,22 +161,6 @@ class StatusEnum(str, Enum):
     OFF = "OFF"
 
 
-class VerbEnum(str, Enum):
-    """
-    * `ANSWERED_CONSECUTIVELY` - ANSWERED_CONSECUTIVELY
-    * `ANSWERED_WITHIN_TIME` - ANSWERED_WITHIN_TIME
-    * `CHANGED_TO` - CHANGED_TO
-    * `NO_CHANGE` - NO_CHANGE
-    * `NO_QUERIES` - NO_QUERIES
-    """
-
-    ANSWERED_CONSECUTIVELY = "ANSWERED_CONSECUTIVELY"
-    ANSWERED_WITHIN_TIME = "ANSWERED_WITHIN_TIME"
-    CHANGED_TO = "CHANGED_TO"
-    NO_CHANGE = "NO_CHANGE"
-    NO_QUERIES = "NO_QUERIES"
-
-
 class WebhookAction(BaseModel):
     url: AnyUrl
     include_image: Optional[bool] = None
@@ -227,87 +179,46 @@ class WebhookActionRequest(BaseModel):
     last_failed_at: Optional[datetime] = None
 
 
-class Source(str, Enum):
-    STILL_PROCESSING = "STILL_PROCESSING"
-    CLOUD = "CLOUD"
-    USER = "USER"
-    CLOUD_ENSEMBLE = "CLOUD_ENSEMBLE"
-    ALGORITHM = "ALGORITHM"
-    EDGE = "EDGE"
-
-
-class ResultType(str, Enum):
-    binary_classification = "binary_classification"
-
-
-class Label(str, Enum):
-    YES = "YES"
-    NO = "NO"
-    UNCLEAR = "UNCLEAR"
-
-
 class BinaryClassificationResult(BaseModel):
     confidence: Optional[confloat(ge=0.0, le=1.0)] = None
-    source: Optional[Source] = None
-    result_type: Optional[ResultType] = None
+    source: Optional[str] = None
+    result_type: Optional[str] = None
     from_edge: Optional[bool] = None
-    label: Label
-
-
-class ResultType2(str, Enum):
-    counting = "counting"
+    label: str
 
 
 class CountingResult(BaseModel):
     confidence: Optional[confloat(ge=0.0, le=1.0)] = None
-    source: Optional[Source] = None
-    result_type: Optional[ResultType2] = None
+    source: Optional[str] = None
+    result_type: Optional[str] = None
     from_edge: Optional[bool] = None
     count: Optional[conint(ge=0)] = Field(...)
     greater_than_max: Optional[bool] = None
 
 
-class ResultType3(str, Enum):
-    multi_classification = "multi_classification"
-
-
 class MultiClassificationResult(BaseModel):
     confidence: Optional[confloat(ge=0.0, le=1.0)] = None
-    source: Optional[Source] = None
-    result_type: Optional[ResultType3] = None
+    source: Optional[str] = None
+    result_type: Optional[str] = None
     from_edge: Optional[bool] = None
     label: str
 
 
-class ResultType4(str, Enum):
-    text_recognition = "text_recognition"
-
-
 class TextRecognitionResult(BaseModel):
     confidence: Optional[confloat(ge=0.0, le=1.0)] = None
-    source: Optional[Source] = None
-    result_type: Optional[ResultType4] = None
+    source: Optional[str] = None
+    result_type: Optional[str] = None
     from_edge: Optional[bool] = None
     text: Optional[str] = Field(...)
     truncated: bool
 
 
-class ResultType5(str, Enum):
-    bounding_box = "bounding_box"
-
-
-class Label1(str, Enum):
-    BOUNDING_BOX = "BOUNDING_BOX"
-    GREATER_THAN_MAX = "GREATER_THAN_MAX"
-    UNCLEAR = "UNCLEAR"
-
-
 class BoundingBoxResult(BaseModel):
     confidence: Optional[confloat(ge=0.0, le=1.0)] = None
-    source: Optional[Source] = None
-    result_type: Optional[ResultType5] = None
+    source: Optional[str] = None
+    result_type: Optional[str] = None
     from_edge: Optional[bool] = None
-    label: Label1
+    label: str
 
 
 class CountModeConfiguration(BaseModel):
@@ -344,6 +255,35 @@ class ActionList(RootModel[List[Action]]):
     root: List[Action]
 
 
+class AnnotationsRequestedEnum(str, Enum):
+    BINARY_CLASSIFICATION = "BINARY_CLASSIFICATION"
+    BOUNDING_BOXES = "BOUNDING_BOXES"
+
+
+class EscalationTypeEnum(str, Enum):
+    STANDARD = "STANDARD"
+    NO_HUMAN_LABELING = "NO_HUMAN_LABELING"
+
+
+class SourceEnum(str, Enum):
+    INITIAL_PLACEHOLDER = "INITIAL_PLACEHOLDER"
+    CLOUD = "CLOUD"
+    CUST = "CUST"
+    HUMAN_CLOUD_ENSEMBLE = "HUMAN_CLOUD_ENSEMBLE"
+    ALG = "ALG"
+    ALG_REC = "ALG_REC"
+    ALG_UNCLEAR = "ALG_UNCLEAR"
+    EDGE = "EDGE"
+
+
+class VerbEnum(str, Enum):
+    ANSWERED_CONSECUTIVELY = "ANSWERED_CONSECUTIVELY"
+    ANSWERED_WITHIN_TIME = "ANSWERED_WITHIN_TIME"
+    CHANGED_TO = "CHANGED_TO"
+    NO_CHANGE = "NO_CHANGE"
+    NO_QUERIES = "NO_QUERIES"
+
+
 class AllNotes(BaseModel):
     """
     Serializes all notes for a given detector, grouped by type as listed in UserProfile.NoteCategoryChoices
@@ -354,16 +294,6 @@ class AllNotes(BaseModel):
     GL: List[Note]
 
 
-class Condition(BaseModel):
-    verb: VerbEnum
-    parameters: Dict[str, Any]
-
-
-class ConditionRequest(BaseModel):
-    verb: VerbEnum
-    parameters: Dict[str, Any]
-
-
 class Detector(BaseModel):
     """
     Groundlight Detectors provide answers to natural language questions about images.
@@ -389,16 +319,10 @@ class Detector(BaseModel):
         30.0, description="How long Groundlight will attempt to generate a confident prediction"
     )
     metadata: Optional[Dict[str, Any]] = Field(..., description="Metadata about the detector.")
-    mode: ModeEnum
+    mode: str
     mode_configuration: Optional[Dict[str, Any]] = Field(...)
     status: Optional[Union[StatusEnum, BlankEnum]] = None
-    escalation_type: Optional[EscalationTypeEnum] = Field(
-        None,
-        description=(
-            "Category that define internal proccess for labeling image queries\n\n* `STANDARD` - STANDARD\n*"
-            " `NO_HUMAN_LABELING` - NO_HUMAN_LABELING"
-        ),
-    )
+    escalation_type: Optional[str] = None
 
 
 class DetectorCreationInputRequest(BaseModel):
@@ -483,10 +407,10 @@ class LabelValue(BaseModel):
         ..., description="Return a human-readable class name for this label (e.g. YES/NO)"
     )
     rois: Optional[List[ROI]] = None
-    annotations_requested: List[AnnotationsRequestedEnum]
+    annotations_requested: List[str]
     created_at: datetime
     detector_id: Optional[int] = Field(...)
-    source: SourceEnum
+    source: str
     text: Optional[str] = Field(..., description="Text annotations")
 
 
@@ -532,13 +456,7 @@ class PatchedDetectorRequest(BaseModel):
         30.0, description="How long Groundlight will attempt to generate a confident prediction"
     )
     status: Optional[Union[StatusEnum, BlankEnum]] = None
-    escalation_type: Optional[EscalationTypeEnum] = Field(
-        None,
-        description=(
-            "Category that define internal proccess for labeling image queries\n\n* `STANDARD` - STANDARD\n*"
-            " `NO_HUMAN_LABELING` - NO_HUMAN_LABELING"
-        ),
-    )
+    escalation_type: Optional[constr(min_length=1)] = None
 
 
 class Rule(BaseModel):
diff --git a/generated/setup.py b/generated/setup.py
index 96e1f78a..9c4bb572 100644
--- a/generated/setup.py
+++ b/generated/setup.py
@@ -3,7 +3,7 @@
 
     Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language.  # noqa: E501
 
-    The version of the OpenAPI document: 0.18.3
+    The version of the OpenAPI document: 0.18.2
     Contact: support@groundlight.ai
     Generated by: https://openapi-generator.tech
 """
diff --git a/spec/public-api.yaml b/spec/public-api.yaml
index e14768b7..528d7cc2 100644
--- a/spec/public-api.yaml
+++ b/spec/public-api.yaml
@@ -1,7 +1,7 @@
 openapi: 3.0.3
 info:
   title: Groundlight API
-  version: 0.18.3
+  version: 0.18.2
   description: Groundlight makes it simple to understand images. You can easily create
     computer vision detectors just by describing what you want to know using natural
     language.
@@ -761,14 +761,6 @@ components:
       required:
       - CUSTOMER
       - GL
-    AnnotationsRequestedEnum:
-      enum:
-      - BINARY_CLASSIFICATION
-      - BOUNDING_BOXES
-      type: string
-      description: |-
-        * `BINARY_CLASSIFICATION` - Binary Classification
-        * `BOUNDING_BOXES` - Bounding Boxes
     BBoxGeometry:
       type: object
       description: Mixin for serializers to handle data in the StrictBaseModel format
@@ -828,7 +820,7 @@ components:
       type: object
       properties:
         verb:
-          $ref: '#/components/schemas/VerbEnum'
+          type: string
         parameters:
           type: object
           additionalProperties: {}
@@ -839,7 +831,7 @@ components:
       type: object
       properties:
         verb:
-          $ref: '#/components/schemas/VerbEnum'
+          type: string
         parameters:
           type: object
           additionalProperties: {}
@@ -903,8 +895,7 @@ components:
           readOnly: true
           description: Metadata about the detector.
         mode:
-          allOf:
-          - $ref: '#/components/schemas/ModeEnum'
+          type: string
           readOnly: true
         mode_configuration:
           type: object
@@ -916,13 +907,7 @@ components:
           - $ref: '#/components/schemas/StatusEnum'
           - $ref: '#/components/schemas/BlankEnum'
         escalation_type:
-          allOf:
-          - $ref: '#/components/schemas/EscalationTypeEnum'
-          description: |-
-            Category that define internal proccess for labeling image queries
-
-            * `STANDARD` - STANDARD
-            * `NO_HUMAN_LABELING` - NO_HUMAN_LABELING
+          type: string
       required:
       - created_at
       - group_name
@@ -1045,14 +1030,6 @@ components:
         pipeline_config: {}
         oodd_pipeline_config: {}
         predictor_metadata: {}
-    EscalationTypeEnum:
-      enum:
-      - STANDARD
-      - NO_HUMAN_LABELING
-      type: string
-      description: |-
-        * `STANDARD` - STANDARD
-        * `NO_HUMAN_LABELING` - NO_HUMAN_LABELING
     ImageQuery:
       type: object
       description: ImageQuery objects are the answers to natural language questions
@@ -1166,13 +1143,7 @@ components:
         annotations_requested:
           type: array
           items:
-            allOf:
-            - $ref: '#/components/schemas/AnnotationsRequestedEnum'
-            description: |-
-              The type of annotation requested
-
-              * `BINARY_CLASSIFICATION` - Binary Classification
-              * `BOUNDING_BOXES` - Bounding Boxes
+            type: string
           readOnly: true
         created_at:
           type: string
@@ -1183,8 +1154,7 @@ components:
           nullable: true
           readOnly: true
         source:
-          allOf:
-          - $ref: '#/components/schemas/SourceEnum'
+          type: string
           readOnly: true
         text:
           type: string
@@ -1219,13 +1189,13 @@ components:
       - image_query_id
       - label
     ModeEnum:
+      type: string
       enum:
       - BINARY
       - COUNT
       - MULTI_CLASS
       - TEXT
       - BOUNDING_BOX
-      type: string
     Note:
       type: object
       properties:
@@ -1359,13 +1329,8 @@ components:
           - $ref: '#/components/schemas/StatusEnum'
           - $ref: '#/components/schemas/BlankEnum'
         escalation_type:
-          allOf:
-          - $ref: '#/components/schemas/EscalationTypeEnum'
-          description: |-
-            Category that define internal proccess for labeling image queries
-
-            * `STANDARD` - STANDARD
-            * `NO_HUMAN_LABELING` - NO_HUMAN_LABELING
+          type: string
+          minLength: 1
       x-internal: true
     PayloadTemplate:
       type: object
@@ -1529,26 +1494,6 @@ components:
         * `HOURS` - HOURS
         * `MINUTES` - MINUTES
         * `SECONDS` - SECONDS
-    SourceEnum:
-      enum:
-      - INITIAL_PLACEHOLDER
-      - CLOUD
-      - CUST
-      - HUMAN_CLOUD_ENSEMBLE
-      - ALG
-      - ALG_REC
-      - ALG_UNCLEAR
-      - EDGE
-      type: string
-      description: |-
-        * `INITIAL_PLACEHOLDER` - InitialPlaceholder
-        * `CLOUD` - HumanCloud
-        * `CUST` - HumanCustomer
-        * `HUMAN_CLOUD_ENSEMBLE` - HumanCloudEnsemble
-        * `ALG` - Algorithm
-        * `ALG_REC` - AlgorithmReconciled
-        * `ALG_UNCLEAR` - AlgorithmUnclear
-        * `EDGE` - EDGE
     StatusEnum:
       enum:
       - 'ON'
@@ -1557,20 +1502,6 @@ components:
       description: |-
         * `ON` - ON
         * `OFF` - OFF
-    VerbEnum:
-      enum:
-      - ANSWERED_CONSECUTIVELY
-      - ANSWERED_WITHIN_TIME
-      - CHANGED_TO
-      - NO_CHANGE
-      - NO_QUERIES
-      type: string
-      description: |-
-        * `ANSWERED_CONSECUTIVELY` - ANSWERED_CONSECUTIVELY
-        * `ANSWERED_WITHIN_TIME` - ANSWERED_WITHIN_TIME
-        * `CHANGED_TO` - CHANGED_TO
-        * `NO_CHANGE` - NO_CHANGE
-        * `NO_QUERIES` - NO_QUERIES
     WebhookAction:
       type: object
       properties:
@@ -1631,25 +1562,12 @@ components:
           nullable: true
         source:
           type: string
-          enum:
-          - STILL_PROCESSING
-          - CLOUD
-          - USER
-          - CLOUD_ENSEMBLE
-          - ALGORITHM
-          - EDGE
         result_type:
           type: string
-          enum:
-          - binary_classification
         from_edge:
           type: boolean
         label:
           type: string
-          enum:
-          - 'YES'
-          - 'NO'
-          - UNCLEAR
       required:
       - label
     CountingResult:
@@ -1663,17 +1581,8 @@ components:
           nullable: true
         source:
           type: string
-          enum:
-          - STILL_PROCESSING
-          - CLOUD
-          - USER
-          - CLOUD_ENSEMBLE
-          - ALGORITHM
-          - EDGE
         result_type:
           type: string
-          enum:
-          - counting
         from_edge:
           type: boolean
         count:
@@ -1695,17 +1604,8 @@ components:
           nullable: true
         source:
           type: string
-          enum:
-          - STILL_PROCESSING
-          - CLOUD
-          - USER
-          - CLOUD_ENSEMBLE
-          - ALGORITHM
-          - EDGE
         result_type:
           type: string
-          enum:
-          - multi_classification
         from_edge:
           type: boolean
         label:
@@ -1724,17 +1624,8 @@ components:
           nullable: true
         source:
           type: string
-          enum:
-          - STILL_PROCESSING
-          - CLOUD
-          - USER
-          - CLOUD_ENSEMBLE
-          - ALGORITHM
-          - EDGE
         result_type:
           type: string
-          enum:
-          - text_recognition
         from_edge:
           type: boolean
         text:
@@ -1756,25 +1647,12 @@ components:
           nullable: true
         source:
           type: string
-          enum:
-          - STILL_PROCESSING
-          - CLOUD
-          - USER
-          - CLOUD_ENSEMBLE
-          - ALGORITHM
-          - EDGE
         result_type:
           type: string
-          enum:
-          - bounding_box
         from_edge:
           type: boolean
         label:
           type: string
-          enum:
-          - BOUNDING_BOX
-          - GREATER_THAN_MAX
-          - UNCLEAR
       required:
       - label
     CountModeConfiguration:
@@ -1846,6 +1724,35 @@ components:
       type: array
       items:
         $ref: '#/components/schemas/Action'
+    AnnotationsRequestedEnum:
+      type: string
+      enum:
+      - BINARY_CLASSIFICATION
+      - BOUNDING_BOXES
+    EscalationTypeEnum:
+      type: string
+      enum:
+      - STANDARD
+      - NO_HUMAN_LABELING
+    SourceEnum:
+      type: string
+      enum:
+      - INITIAL_PLACEHOLDER
+      - CLOUD
+      - CUST
+      - HUMAN_CLOUD_ENSEMBLE
+      - ALG
+      - ALG_REC
+      - ALG_UNCLEAR
+      - EDGE
+    VerbEnum:
+      type: string
+      enum:
+      - ANSWERED_CONSECUTIVELY
+      - ANSWERED_WITHIN_TIME
+      - CHANGED_TO
+      - NO_CHANGE
+      - NO_QUERIES
   securitySchemes:
     ApiToken:
       name: x-api-token
@@ -1859,4 +1766,4 @@ servers:
 - url: https://device.positronix.ai/device-api
   description: Device Prod
 - url: https://device.integ.positronix.ai/device-api
-  description: Device Integ
\ No newline at end of file
+  description: Device Integ

From 42f29f6c5d5618cc55c9602757f20e783d19a1c4 Mon Sep 17 00:00:00 2001
From: paulina-positronix <paulina@positronix.ai>
Date: Wed, 2 Apr 2025 21:55:56 +0000
Subject: [PATCH 04/13] Temporary changes to remove use of missing Label,
 Source to unblock while we chase the error

---
 src/groundlight/binary_labels.py | 9 ++++++++-
 src/groundlight/internalapi.py   | 4 ++--
 2 files changed, 10 insertions(+), 3 deletions(-)

diff --git a/src/groundlight/binary_labels.py b/src/groundlight/binary_labels.py
index 557a4245..cfa804f8 100644
--- a/src/groundlight/binary_labels.py
+++ b/src/groundlight/binary_labels.py
@@ -8,11 +8,18 @@
 from enum import Enum
 from typing import Union
 
-from model import Detector, ImageQuery, Label
+from model import Detector, ImageQuery #, Label # temporarily commented out
 
 logger = logging.getLogger(__name__)
 
 
+class Label(str, Enum):
+    """Temporarily added here while we chase the bug """
+    YES = "YES"
+    NO = "NO"
+    UNCLEAR = "UNCLEAR"
+
+
 VALID_DISPLAY_LABELS = {Label.YES, Label.NO, Label.UNCLEAR}
 
 
diff --git a/src/groundlight/internalapi.py b/src/groundlight/internalapi.py
index 10e1791d..c5325199 100644
--- a/src/groundlight/internalapi.py
+++ b/src/groundlight/internalapi.py
@@ -12,7 +12,7 @@
 
 import requests
 from groundlight_openapi_client.api_client import ApiClient, ApiException
-from model import Detector, ImageQuery, Source
+from model import Detector, ImageQuery # , Source # temporarily commented out
 
 from groundlight.status_codes import is_ok
 from groundlight.version import get_version
@@ -76,7 +76,7 @@ def iq_is_answered(iq: ImageQuery) -> bool:
     """
     if not iq.result or not iq.result.source:
         return False
-    if (iq.result.source == Source.STILL_PROCESSING) or (iq.result.source is None):  # Should never be None
+    if (iq.result.source == "STILL_PROCESSING") or (iq.result.source is None):  # Should never be None
         return False
     return True
 

From 522bcb94b707deec17e2767a25f5d519adb7126d Mon Sep 17 00:00:00 2001
From: Auto-format Bot <autoformatbot@groundlight.ai>
Date: Wed, 2 Apr 2025 21:56:41 +0000
Subject: [PATCH 05/13] Automatically reformatting code

---
 src/groundlight/binary_labels.py | 5 +++--
 src/groundlight/internalapi.py   | 2 +-
 2 files changed, 4 insertions(+), 3 deletions(-)

diff --git a/src/groundlight/binary_labels.py b/src/groundlight/binary_labels.py
index cfa804f8..a9e15787 100644
--- a/src/groundlight/binary_labels.py
+++ b/src/groundlight/binary_labels.py
@@ -8,13 +8,14 @@
 from enum import Enum
 from typing import Union
 
-from model import Detector, ImageQuery #, Label # temporarily commented out
+from model import Detector, ImageQuery  # , Label # temporarily commented out
 
 logger = logging.getLogger(__name__)
 
 
 class Label(str, Enum):
-    """Temporarily added here while we chase the bug """
+    """Temporarily added here while we chase the bug"""
+
     YES = "YES"
     NO = "NO"
     UNCLEAR = "UNCLEAR"
diff --git a/src/groundlight/internalapi.py b/src/groundlight/internalapi.py
index c5325199..181aa5cd 100644
--- a/src/groundlight/internalapi.py
+++ b/src/groundlight/internalapi.py
@@ -12,7 +12,7 @@
 
 import requests
 from groundlight_openapi_client.api_client import ApiClient, ApiException
-from model import Detector, ImageQuery # , Source # temporarily commented out
+from model import Detector, ImageQuery  # , Source # temporarily commented out
 
 from groundlight.status_codes import is_ok
 from groundlight.version import get_version

From ea5bb08922e104d2f0fb8f4d6db90a7f2f89982d Mon Sep 17 00:00:00 2001
From: paulina-positronix <paulina@positronix.ai>
Date: Wed, 2 Apr 2025 22:01:20 +0000
Subject: [PATCH 06/13] Organize imports

---
 src/groundlight/binary_labels.py | 3 ++-
 src/groundlight/internalapi.py   | 4 +++-
 2 files changed, 5 insertions(+), 2 deletions(-)

diff --git a/src/groundlight/binary_labels.py b/src/groundlight/binary_labels.py
index cfa804f8..42984509 100644
--- a/src/groundlight/binary_labels.py
+++ b/src/groundlight/binary_labels.py
@@ -8,7 +8,8 @@
 from enum import Enum
 from typing import Union
 
-from model import Detector, ImageQuery #, Label # temporarily commented out
+# from model import Detector, ImageQuery, Label # temporarily commented out
+from model import Detector, ImageQuery
 
 logger = logging.getLogger(__name__)
 
diff --git a/src/groundlight/internalapi.py b/src/groundlight/internalapi.py
index c5325199..ef2281b0 100644
--- a/src/groundlight/internalapi.py
+++ b/src/groundlight/internalapi.py
@@ -12,7 +12,9 @@
 
 import requests
 from groundlight_openapi_client.api_client import ApiClient, ApiException
-from model import Detector, ImageQuery # , Source # temporarily commented out
+
+# from model import Detector, ImageQuery, Source # temporarily commented out
+from model import Detector, ImageQuery
 
 from groundlight.status_codes import is_ok
 from groundlight.version import get_version

From 23afab2b52ede97dd2d9b65e44966dec72bda1f8 Mon Sep 17 00:00:00 2001
From: brandon <brandon@groundlight.ai>
Date: Mon, 7 Apr 2025 10:38:36 -0700
Subject: [PATCH 07/13] bugfix related to removing enum validation

---
 src/groundlight/experimental_api.py | 9 +++------
 test/unit/test_experimental.py      | 4 ++--
 2 files changed, 5 insertions(+), 8 deletions(-)

diff --git a/src/groundlight/experimental_api.py b/src/groundlight/experimental_api.py
index 73511dcc..eff720d6 100644
--- a/src/groundlight/experimental_api.py
+++ b/src/groundlight/experimental_api.py
@@ -30,7 +30,6 @@
 from groundlight_openapi_client.model.payload_template_request import PayloadTemplateRequest
 from groundlight_openapi_client.model.rule_request import RuleRequest
 from groundlight_openapi_client.model.status_enum import StatusEnum
-from groundlight_openapi_client.model.verb_enum import VerbEnum
 from groundlight_openapi_client.model.webhook_action_request import WebhookActionRequest
 from model import (
     ROI,
@@ -302,7 +301,7 @@ def create_alert(  # pylint: disable=too-many-locals, too-many-arguments  # noqa
             name=name,
             enabled=enabled,
             action=actions,
-            condition=ConditionRequest(verb=VerbEnum(condition.verb), parameters=condition.parameters),
+            condition=ConditionRequest(verb=condition.verb, parameters=condition.parameters),
             snooze_time_enabled=snooze_time_enabled,
             snooze_time_value=snooze_time_value,
             snooze_time_unit=snooze_time_unit,
@@ -318,7 +317,7 @@ def create_rule(  # pylint: disable=too-many-locals  # noqa: PLR0913
         channel: Union[str, ChannelEnum],
         recipient: str,
         *,
-        alert_on: Union[str, VerbEnum] = "CHANGED_TO",
+        alert_on: str = "CHANGED_TO",
         enabled: bool = True,
         include_image: bool = False,
         condition_parameters: Union[str, dict, None] = None,
@@ -393,8 +392,6 @@ def create_rule(  # pylint: disable=too-many-locals  # noqa: PLR0913
 
         if condition_parameters is None:
             condition_parameters = {}
-        if isinstance(alert_on, str):
-            alert_on = VerbEnum(alert_on.upper())
         if isinstance(channel, str):
             channel = ChannelEnum(channel.upper())
         if isinstance(condition_parameters, str):
@@ -839,7 +836,7 @@ def update_detector_escalation_type(self, detector: Union[str, Detector], escala
             raise ValueError("escalation_type must be either 'STANDARD' or 'NO_HUMAN_LABELING'")
         self.detectors_api.update_detector(
             detector,
-            patched_detector_request=PatchedDetectorRequest(escalation_type=EscalationTypeEnum(escalation_type)),
+            patched_detector_request=PatchedDetectorRequest(escalation_type=escalation_type),
         )
 
     def create_counting_detector(  # noqa: PLR0913 # pylint: disable=too-many-arguments, too-many-locals
diff --git a/test/unit/test_experimental.py b/test/unit/test_experimental.py
index 2dacdccc..0b597649 100644
--- a/test/unit/test_experimental.py
+++ b/test/unit/test_experimental.py
@@ -60,10 +60,10 @@ def test_update_detector_escalation_type(gl_experimental: ExperimentalApi):
     detector = gl_experimental.get_or_create_detector(f"test {datetime.utcnow()}", "Is there a dog?")
     gl_experimental.update_detector_escalation_type(detector.id, "NO_HUMAN_LABELING")
     updated_detector = gl_experimental.get_detector(detector.id)
-    updated_detector.escalation_type.value == "NO_HUMAN_LABELING"
+    updated_detector.escalation_type == "NO_HUMAN_LABELING"
     gl_experimental.update_detector_escalation_type(detector.id, "STANDARD")
     updated_detector = gl_experimental.get_detector(detector.id)
-    updated_detector.escalation_type.value == "STANDARD"
+    updated_detector.escalation_type == "STANDARD"
 
 
 @pytest.mark.skip(

From 88c4e304d8383c8c8f9bc2b654105c9961900188 Mon Sep 17 00:00:00 2001
From: Auto-format Bot <autoformatbot@groundlight.ai>
Date: Mon, 7 Apr 2025 17:40:03 +0000
Subject: [PATCH 08/13] Automatically reformatting code

---
 src/groundlight/experimental_api.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/src/groundlight/experimental_api.py b/src/groundlight/experimental_api.py
index eff720d6..98c3754e 100644
--- a/src/groundlight/experimental_api.py
+++ b/src/groundlight/experimental_api.py
@@ -24,7 +24,6 @@
 from groundlight_openapi_client.model.condition_request import ConditionRequest
 from groundlight_openapi_client.model.count_mode_configuration import CountModeConfiguration
 from groundlight_openapi_client.model.detector_group_request import DetectorGroupRequest
-from groundlight_openapi_client.model.escalation_type_enum import EscalationTypeEnum
 from groundlight_openapi_client.model.multi_class_mode_configuration import MultiClassModeConfiguration
 from groundlight_openapi_client.model.patched_detector_request import PatchedDetectorRequest
 from groundlight_openapi_client.model.payload_template_request import PayloadTemplateRequest

From 215b50096fe1bf9971d8654e753bf12c9e42b820 Mon Sep 17 00:00:00 2001
From: paulina-positronix <paulina@positronix.ai>
Date: Mon, 7 Apr 2025 19:46:53 +0000
Subject: [PATCH 09/13] Revert "Temporary changes to remove use of missing
 Label, Source to unblock while we chase the error"

This reverts commit 42f29f6c5d5618cc55c9602757f20e783d19a1c4.
---
 src/groundlight/binary_labels.py | 11 +----------
 src/groundlight/internalapi.py   |  6 ++----
 2 files changed, 3 insertions(+), 14 deletions(-)

diff --git a/src/groundlight/binary_labels.py b/src/groundlight/binary_labels.py
index 42098f19..557a4245 100644
--- a/src/groundlight/binary_labels.py
+++ b/src/groundlight/binary_labels.py
@@ -8,20 +8,11 @@
 from enum import Enum
 from typing import Union
 
-# from model import Detector, ImageQuery, Label # temporarily commented out
-from model import Detector, ImageQuery
+from model import Detector, ImageQuery, Label
 
 logger = logging.getLogger(__name__)
 
 
-class Label(str, Enum):
-    """Temporarily added here while we chase the bug"""
-
-    YES = "YES"
-    NO = "NO"
-    UNCLEAR = "UNCLEAR"
-
-
 VALID_DISPLAY_LABELS = {Label.YES, Label.NO, Label.UNCLEAR}
 
 
diff --git a/src/groundlight/internalapi.py b/src/groundlight/internalapi.py
index ef2281b0..10e1791d 100644
--- a/src/groundlight/internalapi.py
+++ b/src/groundlight/internalapi.py
@@ -12,9 +12,7 @@
 
 import requests
 from groundlight_openapi_client.api_client import ApiClient, ApiException
-
-# from model import Detector, ImageQuery, Source # temporarily commented out
-from model import Detector, ImageQuery
+from model import Detector, ImageQuery, Source
 
 from groundlight.status_codes import is_ok
 from groundlight.version import get_version
@@ -78,7 +76,7 @@ def iq_is_answered(iq: ImageQuery) -> bool:
     """
     if not iq.result or not iq.result.source:
         return False
-    if (iq.result.source == "STILL_PROCESSING") or (iq.result.source is None):  # Should never be None
+    if (iq.result.source == Source.STILL_PROCESSING) or (iq.result.source is None):  # Should never be None
         return False
     return True
 

From f782f058c58503af8acd6f6263e6ac26a1f7d1b9 Mon Sep 17 00:00:00 2001
From: brandon <brandon@groundlight.ai>
Date: Mon, 7 Apr 2025 13:19:50 -0700
Subject: [PATCH 10/13] Revert "Revert "Temporary changes to remove use of
 missing Label, Source to unblock while we chase the error""

This reverts commit 215b50096fe1bf9971d8654e753bf12c9e42b820.
---
 src/groundlight/binary_labels.py | 11 ++++++++++-
 src/groundlight/internalapi.py   |  6 ++++--
 2 files changed, 14 insertions(+), 3 deletions(-)

diff --git a/src/groundlight/binary_labels.py b/src/groundlight/binary_labels.py
index 557a4245..42098f19 100644
--- a/src/groundlight/binary_labels.py
+++ b/src/groundlight/binary_labels.py
@@ -8,11 +8,20 @@
 from enum import Enum
 from typing import Union
 
-from model import Detector, ImageQuery, Label
+# from model import Detector, ImageQuery, Label # temporarily commented out
+from model import Detector, ImageQuery
 
 logger = logging.getLogger(__name__)
 
 
+class Label(str, Enum):
+    """Temporarily added here while we chase the bug"""
+
+    YES = "YES"
+    NO = "NO"
+    UNCLEAR = "UNCLEAR"
+
+
 VALID_DISPLAY_LABELS = {Label.YES, Label.NO, Label.UNCLEAR}
 
 
diff --git a/src/groundlight/internalapi.py b/src/groundlight/internalapi.py
index 10e1791d..ef2281b0 100644
--- a/src/groundlight/internalapi.py
+++ b/src/groundlight/internalapi.py
@@ -12,7 +12,9 @@
 
 import requests
 from groundlight_openapi_client.api_client import ApiClient, ApiException
-from model import Detector, ImageQuery, Source
+
+# from model import Detector, ImageQuery, Source # temporarily commented out
+from model import Detector, ImageQuery
 
 from groundlight.status_codes import is_ok
 from groundlight.version import get_version
@@ -76,7 +78,7 @@ def iq_is_answered(iq: ImageQuery) -> bool:
     """
     if not iq.result or not iq.result.source:
         return False
-    if (iq.result.source == Source.STILL_PROCESSING) or (iq.result.source is None):  # Should never be None
+    if (iq.result.source == "STILL_PROCESSING") or (iq.result.source is None):  # Should never be None
         return False
     return True
 

From 25f6b9ed1be4e3bd67b39268f55fe97f273aa244 Mon Sep 17 00:00:00 2001
From: brandon <brandon@groundlight.ai>
Date: Mon, 7 Apr 2025 13:21:19 -0700
Subject: [PATCH 11/13] remove temp comments

---
 src/groundlight/binary_labels.py | 1 -
 src/groundlight/internalapi.py   | 1 -
 2 files changed, 2 deletions(-)

diff --git a/src/groundlight/binary_labels.py b/src/groundlight/binary_labels.py
index 42098f19..6e589fe9 100644
--- a/src/groundlight/binary_labels.py
+++ b/src/groundlight/binary_labels.py
@@ -8,7 +8,6 @@
 from enum import Enum
 from typing import Union
 
-# from model import Detector, ImageQuery, Label # temporarily commented out
 from model import Detector, ImageQuery
 
 logger = logging.getLogger(__name__)
diff --git a/src/groundlight/internalapi.py b/src/groundlight/internalapi.py
index ef2281b0..c1cac676 100644
--- a/src/groundlight/internalapi.py
+++ b/src/groundlight/internalapi.py
@@ -13,7 +13,6 @@
 import requests
 from groundlight_openapi_client.api_client import ApiClient, ApiException
 
-# from model import Detector, ImageQuery, Source # temporarily commented out
 from model import Detector, ImageQuery
 
 from groundlight.status_codes import is_ok

From 30c97184df13ec8b3c6b7c03751ce85b315cd9aa Mon Sep 17 00:00:00 2001
From: Auto-format Bot <autoformatbot@groundlight.ai>
Date: Mon, 7 Apr 2025 20:22:15 +0000
Subject: [PATCH 12/13] Automatically reformatting code

---
 src/groundlight/internalapi.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/src/groundlight/internalapi.py b/src/groundlight/internalapi.py
index c1cac676..7c3c6849 100644
--- a/src/groundlight/internalapi.py
+++ b/src/groundlight/internalapi.py
@@ -12,7 +12,6 @@
 
 import requests
 from groundlight_openapi_client.api_client import ApiClient, ApiException
-
 from model import Detector, ImageQuery
 
 from groundlight.status_codes import is_ok

From fe5f86ad79a38f23efaa91e06f6c3e05a4d91e78 Mon Sep 17 00:00:00 2001
From: Paulina Varshavskaya
 <88207457+paulina-positronix@users.noreply.github.com>
Date: Mon, 7 Apr 2025 16:14:49 -0700
Subject: [PATCH 13/13] Remove temporary comment

---
 src/groundlight/binary_labels.py | 2 --
 1 file changed, 2 deletions(-)

diff --git a/src/groundlight/binary_labels.py b/src/groundlight/binary_labels.py
index 6e589fe9..bf096084 100644
--- a/src/groundlight/binary_labels.py
+++ b/src/groundlight/binary_labels.py
@@ -14,8 +14,6 @@
 
 
 class Label(str, Enum):
-    """Temporarily added here while we chase the bug"""
-
     YES = "YES"
     NO = "NO"
     UNCLEAR = "UNCLEAR"