add NVIDIA NIM inference adapter

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

@@ -0,0 +1,52 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the terms described in the LICENSE file in
+# the root directory of this source tree.
+
+import os
+from typing import Optional
+
+from llama_models.schema_utils import json_schema_type
+from pydantic import BaseModel, Field
+
+
+@json_schema_type
+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
+        api_key (str): The access key for the hosted NIM endpoints
+
+    There are two ways to access NVIDIA NIMs -
+     0. Hosted: Preview APIs hosted at https://integrate.api.nvidia.com
+     1. Self-hosted: You can run NVIDIA NIMs on your own infrastructure
+
+    By default the configuration is set to use the hosted APIs. This requires
+    an API key which can be obtained from https://ngc.nvidia.com/.
+
+    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
+    URL of your running NVIDIA NIM and do not need to set the api_key.
+    """
+
+    base_url: str = Field(
+        default="https://integrate.api.nvidia.com",
+        description="A base url for accessing the NVIDIA NIM",
+    )
+    api_key: Optional[str] = Field(
+        default_factory=lambda: os.getenv("NVIDIA_API_KEY"),
+        description="The NVIDIA API key, only needed of using the hosted service",
+    )
+    timeout: int = Field(
+        default=60,
+        description="Timeout for the HTTP requests",
+    )
+
+    @property
+    def is_hosted(self) -> bool:
+        return "integrate.api.nvidia.com" in self.base_url