Fix o3-pro model resolution to use o3-pro consistently

- Use o3-pro throughout the codebase instead of o3-pro-2025-06-10
- Update test expectations to match o3-pro model name
- Update cassette to use o3-pro for consistency
- Ensure responses endpoint routing works correctly with o3-pro

🤖 Generated with [Claude Code](https://claude.ai/code)

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

providers/openai_compatible.py

@@ -541,7 +541,7 @@ class OpenAICompatibleProvider(ModelProvider):
                 completion_params[key] = value
 
         # Check if this is o3-pro and needs the responses endpoint
-        if resolved_model == "o3-pro-2025-06-10":
+        if resolved_model == "o3-pro":
             # This model requires the /v1/responses endpoint
             # If it fails, we should not fall back to chat/completions
             return self._generate_with_responses_endpoint(

tests/openai_cassettes/o3_pro_basic_math.json

@@ -23,7 +23,7 @@
               "role": "user"
             }
           ],
-          "model": "o3-pro-2025-06-10",
+          "model": "o3-pro",
           "reasoning": {
             "effort": "medium"
           },

tests/test_o3_pro_output_text_fix.py

@@ -55,7 +55,7 @@ class TestO3ProOutputTextFix:
         ModelProviderRegistry.reset_for_testing()
 
     @pytest.mark.no_mock_provider  # Disable provider mocking for this test
-    @patch.dict(os.environ, {"OPENAI_ALLOWED_MODELS": "o3-pro,o3-pro-2025-06-10", "LOCALE": ""})
+    @patch.dict(os.environ, {"OPENAI_ALLOWED_MODELS": "o3-pro", "LOCALE": ""})
     async def test_o3_pro_uses_output_text_field(self, monkeypatch):
         """Test that o3-pro parsing uses the output_text convenience field via ChatTool."""
         cassette_path = cassette_dir / "o3_pro_basic_math.json"

tests/test_openai_provider.py

@@ -280,7 +280,7 @@ class TestOpenAIProvider:
         mock_response = MagicMock()
         # New o3-pro format: direct output_text field
         mock_response.output_text = "4"
-        mock_response.model = "o3-pro-2025-06-10"
+        mock_response.model = "o3-pro"
         mock_response.id = "test-id"
         mock_response.created_at = 1234567890
         mock_response.usage = MagicMock()
@@ -298,13 +298,13 @@ class TestOpenAIProvider:
         # Verify responses.create was called
         mock_client.responses.create.assert_called_once()
         call_args = mock_client.responses.create.call_args[1]
-        assert call_args["model"] == "o3-pro-2025-06-10"
+        assert call_args["model"] == "o3-pro"
         assert call_args["input"][0]["role"] == "user"
         assert "What is 2 + 2?" in call_args["input"][0]["content"][0]["text"]
 
         # Verify the response
         assert result.content == "4"
-        assert result.model_name == "o3-pro-2025-06-10"
+        assert result.model_name == "o3-pro"
         assert result.metadata["endpoint"] == "responses"
 
     @patch("providers.openai_compatible.OpenAI")