llama-stack-mirror/llama_stack/providers/remote/inference/nvidia/config.py
2025-10-27 11:34:40 -07:00

91 lines
3.2 KiB
Python

# 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 Any
from pydantic import BaseModel, Field, SecretStr, field_validator
from llama_stack.providers.utils.inference.model_registry import RemoteInferenceProviderConfig
from llama_stack.schema_utils import json_schema_type
class NVIDIAProviderDataValidator(BaseModel):
nvidia_api_key: str | None = Field(
default=None,
description="API key for NVIDIA NIM models",
)
@json_schema_type
class NVIDIAConfig(RemoteInferenceProviderConfig):
"""
Configuration for the NVIDIA NIM inference endpoint.
Attributes:
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 url to the
URL of your running NVIDIA NIM and do not need to set the api_key.
"""
url: str = Field(
default_factory=lambda: os.getenv("NVIDIA_BASE_URL", "https://integrate.api.nvidia.com"),
description="A base url for accessing the NVIDIA NIM",
)
api_key: SecretStr | None = Field(
default=None,
description="The NVIDIA API key, only needed of using the hosted service",
)
timeout: int = Field(
default=60,
description="Timeout for the HTTP requests",
)
append_api_version: bool = Field(
default_factory=lambda: os.getenv("NVIDIA_APPEND_API_VERSION", "True").lower() != "false",
description="When set to false, the API version will not be appended to the base_url. By default, it is true.",
)
@field_validator("api_key", mode="before")
@classmethod
def _default_api_key_from_env(cls, value: SecretStr | str | None) -> SecretStr | None:
"""Populate the API key from the NVIDIA_API_KEY environment variable when absent."""
if value is None:
env_value = os.getenv("NVIDIA_API_KEY")
return SecretStr(env_value) if env_value else None
if isinstance(value, SecretStr):
return value
if isinstance(value, str):
return SecretStr(value)
return value
@classmethod
def sample_run_config(
cls,
url: str = "${env.NVIDIA_BASE_URL:=https://integrate.api.nvidia.com}",
api_key: str = "${env.NVIDIA_API_KEY:=}",
append_api_version: bool = "${env.NVIDIA_APPEND_API_VERSION:=True}",
**kwargs,
) -> dict[str, Any]:
return {
"url": url,
"api_key": api_key,
"append_api_version": append_api_version,
}