llama-stack-mirror/llama_stack/providers/remote/inference/openai/config.py
Sébastien Han c4cb6aa8d9
fix: prevent telemetry from leaking sensitive info
Prevent sensitive information from being logged in telemetry output by
assigning SecretStr type to sensitive fields. API keys, password from
KV store are now covered. All providers have been converted.

Signed-off-by: Sébastien Han <seb@redhat.com>
2025-09-29 09:54:41 +02:00

42 lines
1.1 KiB
Python

# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
from typing import Any
from pydantic import BaseModel, Field, SecretStr
from llama_stack.schema_utils import json_schema_type
class OpenAIProviderDataValidator(BaseModel):
openai_api_key: SecretStr | None = Field(
default=None,
description="API key for OpenAI models",
)
@json_schema_type
class OpenAIConfig(BaseModel):
api_key: SecretStr | None = Field(
default=None,
description="API key for OpenAI models",
)
base_url: str = Field(
default="https://api.openai.com/v1",
description="Base URL for OpenAI API",
)
@classmethod
def sample_run_config(
cls,
api_key: str = "${env.OPENAI_API_KEY:=}",
base_url: str = "${env.OPENAI_BASE_URL:=https://api.openai.com/v1}",
**kwargs,
) -> dict[str, Any]:
return {
"api_key": api_key,
"base_url": base_url,
}