Add test for unsupported prediction types in MistralModel and fix minor doc typo

Author: TKaluza

pydantic_ai_slim/pydantic_ai/models/mistral.py

@@ -122,7 +122,7 @@ class MistralModelSettings(ModelSettings, total=False):
     """Prediction content for the model to use as a prefix. See Predictive outputs.
 
     This feature is currently only supported for certain Mistral models. See the model cards at Models.
-    As of now, codestral-latest and mistral-large-2411 support [predicted outputs](https://docs.mistral.ai/capabilities/predicted_outputs). 
+    As of now, codestral-latest and mistral-large-2411 support [predicted outputs](https://docs.mistral.ai/capabilities/predicted_outputs).
     """
 
 

tests/models/test_mistral.py

@@ -1719,6 +1719,13 @@ def test_map_setting_prediction_valid(request: pytest.FixtureRequest, input_valu
         assert isinstance(result, MistralPrediction)
         assert result.content == expected_content
 
+    def test_map_setting_prediction_unsupported_type():
+        """Test that _map_setting_prediction raises RuntimeError for unsupported types."""
+        with pytest.raises(
+            RuntimeError, match='Unsupported prediction type.*int.*Expected str, dict, or MistralPrediction'
+        ):
+            MistralModel._map_setting_prediction(123)  # pyright: ignore[reportPrivateUsage]
+
 
 def test_generate_user_output_format_complex(mistral_api_key: str):
     """