feat: LLM - Improved representation for blocked responses

PiperOrigin-RevId: 569046322

tests/unit/aiplatform/test_language_models.py

@@ -1354,6 +1354,17 @@ def test_text_generation_model_predict_streaming(self):
             ):
                 assert len(response.text) > 10
 
+    def test_text_generation_response_repr(self):
+        response = language_models.TextGenerationResponse(
+            text="",
+            is_blocked=True,
+            safety_attributes={"Violent": 0.1},
+            _prediction_response=None,
+        )
+        response_repr = repr(response)
+        assert "blocked" in response_repr
+        assert "Violent" in response_repr
+
     @pytest.mark.parametrize(
         "job_spec",
         [_TEST_PIPELINE_SPEC_JSON, _TEST_PIPELINE_JOB],

vertexai/language_models/_language_models.py

@@ -613,7 +613,17 @@ class TextGenerationResponse:
     safety_attributes: Dict[str, float] = dataclasses.field(default_factory=dict)
 
     def __repr__(self):
-        return self.text
+        if self.text:
+            return self.text
+        else:
+            # Falling back to the full representation
+            return (
+                "TextGenerationResponse("
+                f"text={self.text!r}"
+                f", is_blocked={self.is_blocked!r}"
+                f", safety_attributes={self.safety_attributes!r}"
+                ")"
+            )
 
     @property
     def raw_prediction_response(self) -> aiplatform.models.Prediction: