align with other remote adapters, rename config base_url -> url

llama_stack/providers/remote/inference/nvidia/_config.py

@@ -17,7 +17,7 @@ class NVIDIAConfig(BaseModel):
     Configuration for the NVIDIA NIM inference endpoint.
 
     Attributes:
-        base_url (str): A base url for accessing the NVIDIA NIM, e.g. http://localhost:8000
+        url (str): A base url for accessing the NVIDIA NIM, e.g. http://localhost:8000
         api_key (str): The access key for the hosted NIM endpoints
 
     There are two ways to access NVIDIA NIMs -
@@ -30,11 +30,11 @@ class NVIDIAConfig(BaseModel):
     By default the configuration will attempt to read the NVIDIA_API_KEY environment
     variable to set the api_key. Please do not put your API key in code.
 
-    If you are using a self-hosted NVIDIA NIM, you can set the base_url to the
+    If you are using a self-hosted NVIDIA NIM, you can set the url to the
     URL of your running NVIDIA NIM and do not need to set the api_key.
     """
 
-    base_url: str = Field(
+    url: str = Field(
         default="https://integrate.api.nvidia.com",
         description="A base url for accessing the NVIDIA NIM",
     )
@@ -49,4 +49,4 @@ class NVIDIAConfig(BaseModel):
 
     @property
     def is_hosted(self) -> bool:
-        return "integrate.api.nvidia.com" in self.base_url
+        return "integrate.api.nvidia.com" in self.url

llama_stack/providers/remote/inference/nvidia/_nvidia.py

@@ -89,7 +89,7 @@ class NVIDIAInferenceAdapter(Inference, ModelRegistryHelper):
         # TODO(mf): filter by available models
         ModelRegistryHelper.__init__(self, model_aliases=_MODEL_ALIASES)
 
-        print(f"Initializing NVIDIAInferenceAdapter({config.base_url})...")
+        print(f"Initializing NVIDIAInferenceAdapter({config.url})...")
 
         if config.is_hosted:
             if not config.api_key:
@@ -110,7 +110,7 @@ class NVIDIAInferenceAdapter(Inference, ModelRegistryHelper):
         self._config = config
         # make sure the client lives longer than any async calls
         self._client = AsyncOpenAI(
-            base_url=f"{self._config.base_url}/v1",
+            base_url=f"{self._config.url}/v1",
             api_key=self._config.api_key or "NO KEY",
             timeout=self._config.timeout,
         )
@@ -172,7 +172,7 @@ class NVIDIAInferenceAdapter(Inference, ModelRegistryHelper):
             response = await self._client.chat.completions.create(**request)
         except APIConnectionError as e:
             raise ConnectionError(
-                f"Failed to connect to NVIDIA NIM at {self._config.base_url}: {e}"
+                f"Failed to connect to NVIDIA NIM at {self._config.url}: {e}"
             ) from e
 
         if stream:

llama_stack/providers/remote/inference/nvidia/_utils.py

@@ -40,7 +40,7 @@ async def check_health(config: NVIDIAConfig) -> None:
     if not config.is_hosted:
         print("Checking NVIDIA NIM health...")
         try:
-            is_live, is_ready = await _get_health(config.base_url)
+            is_live, is_ready = await _get_health(config.url)
             if not is_live:
                 raise ConnectionError("NVIDIA NIM is not running")
             if not is_ready: