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https://github.com/hwchase17/langchain
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community[patch]: use SecretStr for yandex model secrets (#15463)
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@ -5,8 +5,8 @@ import logging
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from typing import Any, Callable, Dict, List
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from langchain_core.embeddings import Embeddings
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from langchain_core.pydantic_v1 import BaseModel, root_validator
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from langchain_core.utils import get_from_dict_or_env
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from langchain_core.pydantic_v1 import BaseModel, SecretStr, root_validator
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from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
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from tenacity import (
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before_sleep_log,
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retry,
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@ -41,18 +41,16 @@ class YandexGPTEmbeddings(BaseModel, Embeddings):
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embeddings = YandexGPTEmbeddings(iam_token="t1.9eu...", model_uri="emb://<folder-id>/text-search-query/latest")
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"""
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iam_token: str = ""
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iam_token: SecretStr = ""
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"""Yandex Cloud IAM token for service account
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with the `ai.languageModels.user` role"""
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api_key: str = ""
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api_key: SecretStr = ""
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"""Yandex Cloud Api Key for service account
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with the `ai.languageModels.user` role"""
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model_uri: str = ""
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"""Model uri to use."""
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folder_id: str = ""
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"""Yandex Cloud folder ID"""
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model_uri: str = ""
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"""Model uri to use."""
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model_name: str = "text-search-query"
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"""Model name to use."""
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model_version: str = "latest"
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@ -66,23 +64,27 @@ class YandexGPTEmbeddings(BaseModel, Embeddings):
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def validate_environment(cls, values: Dict) -> Dict:
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"""Validate that iam token exists in environment."""
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iam_token = get_from_dict_or_env(values, "iam_token", "YC_IAM_TOKEN", "")
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iam_token = convert_to_secret_str(
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get_from_dict_or_env(values, "iam_token", "YC_IAM_TOKEN", "")
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)
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values["iam_token"] = iam_token
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api_key = get_from_dict_or_env(values, "api_key", "YC_API_KEY", "")
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api_key = convert_to_secret_str(
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get_from_dict_or_env(values, "api_key", "YC_API_KEY", "")
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)
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values["api_key"] = api_key
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folder_id = get_from_dict_or_env(values, "folder_id", "YC_FOLDER_ID", "")
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values["folder_id"] = folder_id
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if api_key == "" and iam_token == "":
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if api_key.get_secret_value() == "" and iam_token.get_secret_value() == "":
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raise ValueError("Either 'YC_API_KEY' or 'YC_IAM_TOKEN' must be provided.")
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if values["iam_token"]:
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values["_grpc_metadata"] = [
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("authorization", f"Bearer {values['iam_token']}")
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("authorization", f"Bearer {values['iam_token'].get_secret_value()}")
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]
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if values["folder_id"]:
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values["_grpc_metadata"].append(("x-folder-id", values["folder_id"]))
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else:
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values["_grpc_metadata"] = (
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("authorization", f"Api-Key {values['api_key']}"),
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("authorization", f"Api-Key {values['api_key'].get_secret_value()}"),
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)
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if values["model_uri"] == "" and values["folder_id"] == "":
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raise ValueError("Either 'model_uri' or 'folder_id' must be provided.")
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@ -9,8 +9,8 @@ from langchain_core.callbacks import (
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)
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from langchain_core.language_models.llms import LLM
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from langchain_core.load.serializable import Serializable
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from langchain_core.pydantic_v1 import root_validator
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from langchain_core.utils import get_from_dict_or_env
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from langchain_core.pydantic_v1 import SecretStr, root_validator
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from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
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from tenacity import (
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before_sleep_log,
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retry,
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@ -25,10 +25,10 @@ logger = logging.getLogger(__name__)
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class _BaseYandexGPT(Serializable):
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iam_token: str = ""
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iam_token: SecretStr = ""
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"""Yandex Cloud IAM token for service or user account
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with the `ai.languageModels.user` role"""
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api_key: str = ""
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api_key: SecretStr = ""
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"""Yandex Cloud Api Key for service account
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with the `ai.languageModels.user` role"""
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folder_id: str = ""
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@ -72,24 +72,28 @@ class _BaseYandexGPT(Serializable):
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def validate_environment(cls, values: Dict) -> Dict:
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"""Validate that iam token exists in environment."""
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iam_token = get_from_dict_or_env(values, "iam_token", "YC_IAM_TOKEN", "")
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iam_token = convert_to_secret_str(
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get_from_dict_or_env(values, "iam_token", "YC_IAM_TOKEN", "")
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)
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values["iam_token"] = iam_token
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api_key = get_from_dict_or_env(values, "api_key", "YC_API_KEY", "")
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api_key = convert_to_secret_str(
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get_from_dict_or_env(values, "api_key", "YC_API_KEY", "")
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)
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values["api_key"] = api_key
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folder_id = get_from_dict_or_env(values, "folder_id", "YC_FOLDER_ID", "")
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values["folder_id"] = folder_id
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if api_key == "" and iam_token == "":
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if api_key.get_secret_value() == "" and iam_token.get_secret_value() == "":
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raise ValueError("Either 'YC_API_KEY' or 'YC_IAM_TOKEN' must be provided.")
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if values["iam_token"]:
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values["_grpc_metadata"] = [
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("authorization", f"Bearer {values['iam_token']}")
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("authorization", f"Bearer {values['iam_token'].get_secret_value()}")
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]
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if values["folder_id"]:
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values["_grpc_metadata"].append(("x-folder-id", values["folder_id"]))
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else:
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values["_grpc_metadata"] = (
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("authorization", f"Api-Key {values['api_key']}"),
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("authorization", f"Api-Key {values['api_key'].get_secret_value()}"),
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)
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if values["model_uri"] == "" and values["folder_id"] == "":
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raise ValueError("Either 'model_uri' or 'folder_id' must be provided.")
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