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https://github.com/meta-llama/llama-stack.git
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c4cb6aa8d9
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>
39 lines
1.1 KiB
Python
39 lines
1.1 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, SecretStr
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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: SecretStr | None = Field(
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default=None,
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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: SecretStr | None = Field(
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# The Groq client library loads the GROQ_API_KEY environment variable by default
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default=None,
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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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