fix(capabilities): Address Greptile review feedback

- Add missing bridge parameters: supports_response_schema (maps to structured_output) and supports_reasoning
- Add comprehensive tests for parameter mapping (response_schema -> structured_output, reasoning)
- Fix capability loss bug identified in Greptile review

This ensures the bridge function can migrate all model_cost_map capabilities without data loss.

Addresses feedback from greptile-apps bot review.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

litellm/provider_capabilities.py

@@ -176,6 +176,8 @@ def capabilities_from_model_info(
     supports_audio_input: bool = False,
     supports_audio_output: bool = False,
     supports_prompt_caching: bool = False,
+    supports_response_schema: bool = False,
+    supports_reasoning: bool = False,
     **_: object,  # ignore unknown keys from model_cost_map
 ) -> ProviderCapabilities:
     """Bridge: construct ProviderCapabilities from existing model_cost_map flags.
@@ -188,9 +190,11 @@ def capabilities_from_model_info(
             vision=supports_vision,
             streaming=supports_streaming,
             function_calling=supports_function_calling,
+            structured_output=supports_response_schema,
             audio_input=supports_audio_input,
             audio_output=supports_audio_output,
             prompt_caching=supports_prompt_caching,
+            reasoning=supports_reasoning,
         ),
         # strengths comes from model_cost_map scoring or defaults to neutral
     )

tests/test_provider_capabilities.py

@@ -161,3 +161,17 @@ class TestCapabilitiesFromModelInfo:
             supports_vision=True,
         )
         assert cap.supports_vision is True
+
+    def test_maps_response_schema_to_structured_output(self):
+        """supports_response_schema should map to structured_output."""
+        cap = capabilities_from_model_info(
+            supports_response_schema=True,
+        )
+        assert cap.supports_structured_output is True
+
+    def test_maps_reasoning_flag(self):
+        """supports_reasoning should be preserved."""
+        cap = capabilities_from_model_info(
+            supports_reasoning=True,
+        )
+        assert cap.supports.reasoning is True