add test

Author: Siddhartha90

src/google/adk/evaluation/llm_as_judge_utils.py

@@ -76,7 +76,7 @@ def get_text_from_content(
     if final_text:
       parts.append(final_text)
 
-    return "\n\n".join(parts) if parts else None
+    return "\n".join(parts) if parts else None
 
   if content and content.parts:
     return "\n".join([p.text for p in content.parts if p.text])

tests/unittests/evaluation/test_llm_as_judge_utils.py

@@ -19,6 +19,7 @@
 from google.adk.evaluation.app_details import AgentDetails
 from google.adk.evaluation.app_details import AppDetails
 from google.adk.evaluation.eval_case import IntermediateData
+from google.adk.evaluation.eval_case import Invocation
 from google.adk.evaluation.eval_case import InvocationEvent
 from google.adk.evaluation.eval_case import InvocationEvents
 from google.adk.evaluation.eval_rubrics import RubricScore
@@ -88,6 +89,49 @@ def test_get_text_from_content_with_mixed_parts():
   assert get_text_from_content(content) == "Hello\nWorld"
 
 
+def test_get_text_from_content_with_invocation_include_intermediate_responses_in_final():
+  """Tests get_text_from_content on an Invocation with and without the flag."""
+  intermediate_text = "Let me check."
+  final_response_text = "Done."
+  invocation = Invocation(
+      user_content=genai_types.Content(parts=[genai_types.Part(text="user")]),
+      intermediate_data=InvocationEvents(
+          invocation_events=[
+              InvocationEvent(
+                  author="agent",
+                  content=genai_types.Content(
+                      parts=[genai_types.Part(text=intermediate_text)]
+                  ),
+              ),
+              InvocationEvent(
+                  author="tool",
+                  content=genai_types.Content(
+                      parts=[
+                          genai_types.Part(
+                              function_call=genai_types.FunctionCall(name="t")
+                          )
+                      ]
+                  ),
+              ),
+          ]
+      ),
+      final_response=genai_types.Content(
+          parts=[genai_types.Part(text=final_response_text)]
+      ),
+  )
+
+  # Flag off (default): only the final response text is returned.
+  assert get_text_from_content(invocation) == final_response_text
+
+  # Flag on: intermediate text is concatenated before the final response.
+  assert (
+      get_text_from_content(
+          invocation, include_intermediate_responses_in_final=True
+      )
+      == f"{intermediate_text}\n{final_response_text}"
+  )
+
+
 def test_get_eval_status_with_none_score():
   """Tests get_eval_status returns NOT_EVALUATED for a None score."""
   assert get_eval_status(score=None, threshold=0.5) == EvalStatus.NOT_EVALUATED