chore: import upstream snapshot with attribution
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# Copyright (c) Microsoft. All rights reserved.
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from typing import ClassVar
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from pydantic import SecretStr
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from semantic_kernel.kernel_pydantic import KernelBaseSettings
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class MistralAISettings(KernelBaseSettings):
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"""MistralAI model settings.
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The settings are first loaded from environment variables with the prefix 'MISTRALAI_'. If the
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environment variables are not found, the settings can be loaded from a .env file with the
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encoding 'utf-8'. If the settings are not found in the .env file, the settings are ignored;
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however, validation will fail alerting that the settings are missing.
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Optional settings for prefix 'MISTRALAI_' are:
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- api_key: SecretStr - MISTRAL API key, see https://console.mistral.ai/api-keys
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(Env var MISTRALAI_API_KEY)
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- chat_model_id: str | None - The The Mistral AI chat model ID to use see https://docs.mistral.ai/getting-started/models/.
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(Env var MISTRALAI_CHAT_MODEL_ID)
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- embedding_model_id: str | None - The The Mistral AI embedding model ID to use see https://docs.mistral.ai/getting-started/models/.
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(Env var MISTRALAI_EMBEDDING_MODEL_ID)
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- env_file_path: str | None - if provided, the .env settings are read from this file path location
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"""
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env_prefix: ClassVar[str] = "MISTRALAI_"
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api_key: SecretStr
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chat_model_id: str | None = None
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embedding_model_id: str | None = None
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