feat: LLM - Improved representation for blocked responses

PiperOrigin-RevId: 569046322

Author: Ark-kun

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: