Use _CoreProjectInput in create_prompt_response_generation_project

Author: Val Brodsky

libs/labelbox/src/labelbox/client.py

@@ -763,10 +763,20 @@ def create_offline_model_evaluation_project(
 
     def create_prompt_response_generation_project(
         self,
+        name: str,
+        media_type: MediaType,
+        description: Optional[str] = None,
+        auto_audit_percentage: Optional[float] = None,
+        auto_audit_number_of_labels: Optional[int] = None,
+        quality_modes: Optional[Set[QualityMode]] = {
+            QualityMode.Benchmark,
+            QualityMode.Consensus,
+        },
+        is_benchmark_enabled: Optional[bool] = None,
+        is_consensus_enabled: Optional[bool] = None,
         dataset_id: Optional[str] = None,
         dataset_name: Optional[str] = None,
         data_row_count: int = 100,
-        **kwargs,
     ) -> Project:
         """
         Use this method exclusively to create a prompt and response generation project.
@@ -805,31 +815,35 @@ def create_prompt_response_generation_project(
                 "Only provide a dataset_name or dataset_id, not both."
             )
 
-        if data_row_count <= 0:
-            raise ValueError("data_row_count must be a positive integer.")
-
         if dataset_id:
             append_to_existing_dataset = True
             dataset_name_or_id = dataset_id
         else:
             append_to_existing_dataset = False
             dataset_name_or_id = dataset_name
 
-        if "media_type" in kwargs and kwargs.get("media_type") not in [
+        if media_type not in [
             MediaType.LLMPromptCreation,
             MediaType.LLMPromptResponseCreation,
         ]:
             raise ValueError(
                 "media_type must be either LLMPromptCreation or LLMPromptResponseCreation"
             )
 
-        kwargs["dataset_name_or_id"] = dataset_name_or_id
-        kwargs["append_to_existing_dataset"] = append_to_existing_dataset
-        kwargs["data_row_count"] = data_row_count
-
-        kwargs.pop("editor_task_type", None)
-
-        return self._create_project(_CoreProjectInput(**kwargs))
+        input = {
+            "name": name,
+            "description": description,
+            "media_type": media_type,
+            "auto_audit_percentage": auto_audit_percentage,
+            "auto_audit_number_of_labels": auto_audit_number_of_labels,
+            "quality_modes": quality_modes,
+            "is_benchmark_enabled": is_benchmark_enabled,
+            "is_consensus_enabled": is_consensus_enabled,
+            "dataset_name_or_id": dataset_name_or_id,
+            "append_to_existing_dataset": append_to_existing_dataset,
+            "data_row_count": data_row_count,
+        }
+        return self._create_project(_CoreProjectInput(**input))
 
     def create_response_creation_project(self, **kwargs) -> Project:
         """