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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>
38 lines
1 KiB
Python
38 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 GroqProviderDataValidator(BaseModel):
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groq_api_key: MySecretStr = Field(
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description="API key for Groq models",
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)
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@json_schema_type
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class GroqConfig(BaseModel):
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api_key: MySecretStr = Field(
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# The Groq client library loads the GROQ_API_KEY environment variable by default
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description="The Groq API key",
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)
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url: str = Field(
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default="https://api.groq.com",
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description="The URL for the Groq AI server",
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)
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@classmethod
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def sample_run_config(cls, api_key: str = "${env.GROQ_API_KEY:=}", **kwargs) -> dict[str, Any]:
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return {
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"url": "https://api.groq.com",
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"api_key": api_key,
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}
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