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https://github.com/meta-llama/llama-stack.git
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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>
36 lines
1 KiB
Python
36 lines
1 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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from typing import Any
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from pydantic import BaseModel, Field
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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 SambaNovaProviderDataValidator(BaseModel):
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sambanova_api_key: MySecretStr = Field(
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description="Sambanova Cloud API key",
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)
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@json_schema_type
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class SambaNovaSafetyConfig(BaseModel):
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url: str = Field(
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default="https://api.sambanova.ai/v1",
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description="The URL for the SambaNova AI server",
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)
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api_key: MySecretStr = Field(
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description="The SambaNova cloud API Key",
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)
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@classmethod
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def sample_run_config(cls, api_key: str = "${env.SAMBANOVA_API_KEY:=}", **kwargs) -> dict[str, Any]:
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return {
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"url": "https://api.sambanova.ai/v1",
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"api_key": api_key,
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}
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