Apply suggestions from code review

Author: DouweM

docs/models/openai.md

@@ -729,7 +729,7 @@ print(result.output)
 
 To use OVHcloud AI Endpoints, you need to create a new API key. To do so, go to the [OVHcloud manager](https://ovh.com/manager), then in Public Cloud > AI Endpoints > API keys. Click on `Create a new API key` and copy your new key.
 
-You can explore our [catalog](https://endpoints.ai.cloud.ovh.net/catalog) to find which models are available.
+You can explore the [catalog](https://endpoints.ai.cloud.ovh.net/catalog) to find which models are available.
 
 You can set the `OVHCLOUD_API_KEY` environment variable and use [`OVHcloudProvider`][pydantic_ai.providers.ovhcloud.OVHcloudProvider] by name:
 

pydantic_ai_slim/pydantic_ai/providers/ovhcloud.py

@@ -41,7 +41,7 @@ def client(self) -> AsyncOpenAI:
         return self._client
 
     def model_profile(self, model_name: str) -> ModelProfile | None:
-        profile = None
+        model_name = model_name.lower()
 
         prefix_to_profile = {
             'llama': meta_model_profile,
@@ -52,8 +52,9 @@ def model_profile(self, model_name: str) -> ModelProfile | None:
             'qwen': qwen_model_profile,
         }
 
+        profile = None
         for prefix, profile_func in prefix_to_profile.items():
-            if model_name.lower().startswith(prefix):
+            if model_name.startswith(prefix):
                 profile = profile_func(model_name)
 
         # As the OVHcloud AI Endpoints API is OpenAI-compatible, let's assume we also need OpenAIJsonSchemaTransformer.