feat: use SecretStr for inference provider auth credentials

- RemoteInferenceProviderConfig now has auth_credential: SecretStr
- the default alias is api_key (most common name)
- some providers override to use api_token (RunPod, vLLM, Databricks)
- some providers exclude it (Ollama, TGI, Vertex AI)
This commit is contained in:
Matthew Farrellee 2025-10-08 05:05:05 -04:00
parent 62bac0aad4
commit 6143b9b0c3
56 changed files with 157 additions and 144 deletions

View file

@ -7,7 +7,7 @@
import os
from typing import Any
from pydantic import Field, SecretStr
from pydantic import Field
from llama_stack.providers.utils.inference.model_registry import RemoteInferenceProviderConfig
from llama_stack.schema_utils import json_schema_type
@ -40,10 +40,6 @@ class NVIDIAConfig(RemoteInferenceProviderConfig):
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_factory=lambda: SecretStr(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",