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feat: use SecretStr for inference provider auth credentials

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- 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
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6
llama_stack/providers/remote/inference/cerebras/config.py
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@ -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
@ -21,10 +21,6 @@ class CerebrasImplConfig(RemoteInferenceProviderConfig):
default=os.environ.get("CEREBRAS_BASE_URL", DEFAULT_BASE_URL),
description="Base URL for the Cerebras API",
)
api_key: SecretStr = Field(
default=SecretStr(os.environ.get("CEREBRAS_API_KEY")), # type: ignore[arg-type]
description="Cerebras API Key",
)
@classmethod
def sample_run_config(cls, api_key: str = "${env.CEREBRAS_API_KEY:=}", **kwargs) -> dict[str, Any]: