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bc64635835
When using bash style substitution env variable in distribution
template, we are processing the string and convert it to the type
associated with the provider's config class. This allows us to return
the proper type. This is crucial for api key since they are not strings
anymore but SecretStr. If the key is unset we will get an empty string
which will result in a Pydantic error like:
```
ERROR 2025-09-25 21:40:44,565 __main__:527 core::server: Error creating app: 1 validation error for AnthropicConfig
api_key
Input should be a valid string
For further information visit
https://errors.pydantic.dev/2.11/v/string_type
```
Signed-off-by: Sébastien Han <seb@redhat.com>
64 lines
2 KiB
Python
64 lines
2 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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import os
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from typing import Any
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from pydantic import BaseModel, Field, HttpUrl
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from llama_stack.core.secret_types import MySecretStr
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from llama_stack.schema_utils import json_schema_type
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class AzureProviderDataValidator(BaseModel):
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azure_api_key: MySecretStr = Field(
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description="Azure API key for Azure",
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)
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azure_api_base: HttpUrl = Field(
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description="Azure API base for Azure (e.g., https://your-resource-name.openai.azure.com)",
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)
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azure_api_version: str | None = Field(
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default=None,
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description="Azure API version for Azure (e.g., 2024-06-01)",
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)
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azure_api_type: str | None = Field(
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default="azure",
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description="Azure API type for Azure (e.g., azure)",
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)
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@json_schema_type
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class AzureConfig(BaseModel):
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api_key: MySecretStr = Field(
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description="Azure API key for Azure",
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)
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api_base: HttpUrl = Field(
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description="Azure API base for Azure (e.g., https://your-resource-name.openai.azure.com)",
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)
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api_version: str | None = Field(
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default_factory=lambda: os.getenv("AZURE_API_VERSION"),
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description="Azure API version for Azure (e.g., 2024-12-01-preview)",
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)
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api_type: str | None = Field(
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default_factory=lambda: os.getenv("AZURE_API_TYPE", "azure"),
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description="Azure API type for Azure (e.g., azure)",
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)
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@classmethod
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def sample_run_config(
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cls,
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api_key: str = "${env.AZURE_API_KEY:=}",
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api_base: str = "${env.AZURE_API_BASE:=}",
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api_version: str = "${env.AZURE_API_VERSION:=}",
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api_type: str = "${env.AZURE_API_TYPE:=}",
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**kwargs,
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) -> dict[str, Any]:
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return {
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"api_key": api_key,
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"api_base": api_base,
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"api_version": api_version,
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"api_type": api_type,
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}
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