refactor: update test_autoagents.py to improve validation scenarios

- Introduced an invalid configuration to simulate validation failures in tests.
- Updated the first response to reflect the new invalid config structure.
- Simplified mock client configuration by using a sample valid config for structured output.

These changes enhance the robustness of the test cases while ensuring clarity in error handling scenarios.

Author: MervinPraison

src/praisonai/tests/unit/test_autoagents.py

@@ -547,8 +547,31 @@ def test_retry_with_previous_response_in_prompt(self, mock_llm_class, mock_suppo
         # Mock LLM instance
         mock_llm = Mock()
 
-        # First response: malformed JSON that will fail parsing
-        first_response = "{ invalid json structure"
+        # Create an invalid config that will fail validation (not JSON parsing)
+        invalid_config = AutoAgentsConfig(
+            main_instruction="Test",
+            process_type="sequential", 
+            agents=[
+                AgentConfig(
+                    name="Agent",
+                    role="Role",
+                    goal="Goal",
+                    backstory="Story",
+                    tools=[],
+                    tasks=[
+                        TaskConfig(
+                            name="",  # Invalid: empty name
+                            description="Description",
+                            expected_output="Output",
+                            tools=[]
+                        )
+                    ]
+                )
+            ]
+        )
+        
+        # First response: invalid config that will fail validation
+        first_response = json.dumps(invalid_config.model_dump())
 
         # Second response: valid config
         second_response = json.dumps(sample_valid_config.model_dump())
@@ -587,32 +610,9 @@ def test_custom_api_key_and_base_url(self, mock_get_client, mock_openai_class, m
         # Mock support for structured outputs
         mock_supports_structured.return_value = True
 
-        # Create a proper mock config with serializable data
-        serializable_config = AutoAgentsConfig(
-            main_instruction="Test",
-            process_type="sequential",
-            agents=[
-                AgentConfig(
-                    name="Test Agent",
-                    role="Tester",
-                    goal="Test goal",
-                    backstory="Test story",
-                    tools=[],
-                    tasks=[
-                        TaskConfig(
-                            name="Test Task",
-                            description="Test description",
-                            expected_output="Test output",
-                            tools=[]
-                        )
-                    ]
-                )
-            ]
-        )
-        
         # Mock OpenAI client instance
         mock_client = Mock(spec=OpenAIClient)
-        mock_client.parse_structured_output.return_value = serializable_config
+        mock_client.parse_structured_output.return_value = sample_valid_config
         mock_openai_class.return_value = mock_client
 
         custom_api_key = "custom-api-key"