LLM response models for prompting and response validation

test/test_llm_session_mocked.py

@@ -21,9 +21,7 @@ def test_llm_session_mocked(test_photo):
         mock_choice = MagicMock()
         mock_message = MagicMock()
 
-        mock_message.content = (
-            '{"caption": "A beautiful sunset", "tags": ["sunset", "nature"]}'
-        )
+        mock_message.content = '{"text": "some text"}'
         mock_choice.message = mock_message
         mock_response.choices = [mock_choice]
 
@@ -39,11 +37,9 @@ def test_llm_session_mocked(test_photo):
         )
 
         # Verify the results
-        assert result["caption"] == "A beautiful sunset"
-        assert "sunset" in result["tags"]
-        assert "nature" in result["tags"]
+        assert result.text == "some text"
 
-        # Verify that the mock was called
+        # Verify that the mock was enough
         assert mock_client.chat.completions.create.called
 
 
@@ -65,7 +61,7 @@ def test_llm_session_captions_and_keywords_mocked(test_photo):
         mock_choice = MagicMock()
         mock_message = MagicMock()
 
-        mock_message.content = '{"caption": "A mocked caption", "tags": ["mocked_tag"]}'
+        mock_message.content = '{"caption": "A mocked caption", "tags": ["architektur"]}'
         mock_choice.message = mock_message
         mock_response.choices = [mock_choice]
 
@@ -81,8 +77,8 @@ def test_llm_session_captions_and_keywords_mocked(test_photo):
         result = mocked_session.call(photos=[test_photo])
 
         # Verify the results
-        assert result["caption"] == "A mocked caption"
-        assert "mocked_tag" in result["tags"]
+        assert result.caption == "A mocked caption"
+        assert "architektur" in result.tags
 
         # Verify that the mock was called
         assert mock_client.chat.completions.create.called