mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-10-25 17:11:12 +00:00
0066d986c5
# What does this PR do? use SecretStr for OpenAIMixin providers - 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) addresses #3517 ## Test Plan ci w/ new tests
61 lines
2 KiB
Python
61 lines
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, HttpUrl, SecretStr
|
|
|
|
from llama_stack.providers.utils.inference.model_registry import RemoteInferenceProviderConfig
|
|
from llama_stack.schema_utils import json_schema_type
|
|
|
|
|
|
class AzureProviderDataValidator(BaseModel):
|
|
azure_api_key: SecretStr = Field(
|
|
description="Azure API key for Azure",
|
|
)
|
|
azure_api_base: HttpUrl = Field(
|
|
description="Azure API base for Azure (e.g., https://your-resource-name.openai.azure.com)",
|
|
)
|
|
azure_api_version: str | None = Field(
|
|
default=None,
|
|
description="Azure API version for Azure (e.g., 2024-06-01)",
|
|
)
|
|
azure_api_type: str | None = Field(
|
|
default="azure",
|
|
description="Azure API type for Azure (e.g., azure)",
|
|
)
|
|
|
|
|
|
@json_schema_type
|
|
class AzureConfig(RemoteInferenceProviderConfig):
|
|
api_base: HttpUrl = Field(
|
|
description="Azure API base for Azure (e.g., https://your-resource-name.openai.azure.com)",
|
|
)
|
|
api_version: str | None = Field(
|
|
default_factory=lambda: os.getenv("AZURE_API_VERSION"),
|
|
description="Azure API version for Azure (e.g., 2024-12-01-preview)",
|
|
)
|
|
api_type: str | None = Field(
|
|
default_factory=lambda: os.getenv("AZURE_API_TYPE", "azure"),
|
|
description="Azure API type for Azure (e.g., azure)",
|
|
)
|
|
|
|
@classmethod
|
|
def sample_run_config(
|
|
cls,
|
|
api_key: str = "${env.AZURE_API_KEY:=}",
|
|
api_base: str = "${env.AZURE_API_BASE:=}",
|
|
api_version: str = "${env.AZURE_API_VERSION:=}",
|
|
api_type: str = "${env.AZURE_API_TYPE:=}",
|
|
**kwargs,
|
|
) -> dict[str, Any]:
|
|
return {
|
|
"api_key": api_key,
|
|
"api_base": api_base,
|
|
"api_version": api_version,
|
|
"api_type": api_type,
|
|
}
|