LLM response models for prompting and response validation

test/test_llm_session_integration.py

@@ -7,7 +7,7 @@ from photools3.llm_session import LlmSession
     not LlmSession(system_prompt="").is_api_reachable(), reason="API not available"
 )
 def test_llm_session(llm_session, test_photo):
-    llm_session.system_prompt = "Return only JSON format: {'keywords': ['...']}"
+    llm_session.system_prompt = "Return only JSON format: {'text': '...'}"
     result = llm_session.call(
         prompt="keywords for the attached picture", photos=[test_photo]
     )
@@ -21,7 +21,7 @@ def test_llm_session_captions_and_keywords(
     llm_session_captions_and_keywords, test_photo
 ):
     result = llm_session_captions_and_keywords.call(photos=[test_photo])
-    assert "caption" in result
-    assert "tags" in result
-    assert isinstance(result["caption"], str)
-    assert isinstance(result["tags"], list)
+    assert result.caption
+    assert result.tags
+    assert isinstance(result.caption, str)
+    assert isinstance(result.tags, list)