Feat: Started to implement llm providers

features/steps/domain_models_steps.py

@@ -17,6 +17,8 @@ from cleveragents.domain.models.core import (
     Project,
     ProjectSettings,
 )
+from cleveragents.domain.models.aimodelsdatamodels import AIModel, Provider
+from cleveragents.domain.models.aimodels_custom import CustomAIModel
 
 
 @given("I have valid project data")
@@ -314,3 +316,28 @@ def step_models_have_pydantic_config(context):
     for model_class in context.imported_models:
         assert hasattr(model_class, "model_config")
         assert hasattr(model_class, "model_validate")
+
+
+@given('I create an "{model_name}" with the following data:')
+@given('I create a "{model_name}" with the following data:')
+def create_model(context, model_name):
+    data = {row["name"]: row["value"] for row in context.table}
+    if model_name == "AIModel":
+        context.model = AIModel(**data)
+    elif model_name == "Provider":
+        context.model = Provider(**data)
+    elif model_name == "CustomAIModel":
+        context.model = CustomAIModel(**data)
+
+
+@then('the "{model_name}" object should have the following attributes:')
+def verify_model_attributes(context, model_name):
+    for row in context.table:
+        attr_name = row["name"]
+        expected_value = row["value"]
+        actual_value = getattr(context.model, attr_name)
+        if expected_value == "False":
+            expected_value = False
+        assert actual_value == expected_value, (
+            f"Expected {attr_name} to be {expected_value}, but got {actual_value}"
+        )