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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>
35 lines
938 B
Python
35 lines
938 B
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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@json_schema_type
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class DatabricksImplConfig(BaseModel):
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url: str = Field(
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default=None,
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description="The URL for the Databricks model serving endpoint",
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)
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api_token: MySecretStr = Field(
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description="The Databricks API token",
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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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url: str = "${env.DATABRICKS_HOST:=}",
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api_token: str = "${env.DATABRICKS_TOKEN:=}",
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**kwargs: Any,
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) -> dict[str, Any]:
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return {
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"url": url,
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"api_token": api_token,
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}
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