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feat: load config class when doing variable substitution

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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>
This commit is contained in:
Sébastien Han 2025-09-25 10:27:41 +02:00
parent 4af141292f
commit bc64635835
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79 changed files with 381 additions and 216 deletions
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9
llama_stack/providers/remote/inference/openai/config.py
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@ -6,22 +6,21 @@
from typing import Any
from pydantic import BaseModel, Field, SecretStr
from pydantic import BaseModel, Field
from llama_stack.core.secret_types import MySecretStr
from llama_stack.schema_utils import json_schema_type
class OpenAIProviderDataValidator(BaseModel):
openai_api_key: SecretStr = Field(
default=SecretStr(""),
openai_api_key: MySecretStr = Field(
description="API key for OpenAI models",
)
@json_schema_type
class OpenAIConfig(BaseModel):
api_key: SecretStr = Field(
default=SecretStr(""),
api_key: MySecretStr = Field(
description="API key for OpenAI models",
)
base_url: str = Field(