Source code for langchain_community.chat_models.octoai

"""OctoAI终端聊天包装器。在ChatOpenAI上有很大依赖。"""
from typing import Dict

from langchain_core.pydantic_v1 import Field, SecretStr, root_validator
from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env

from langchain_community.chat_models.openai import ChatOpenAI
from langchain_community.utils.openai import is_openai_v1

DEFAULT_API_BASE = "https://text.octoai.run/v1/"
DEFAULT_MODEL = "llama-2-13b-chat"


[docs]class ChatOctoAI(ChatOpenAI): """OctoAI聊天大语言模型。 请访问 https://octo.ai/ 了解有关OctoAI的信息。 要使用,您应该已安装``openai`` python包,并设置环境变量``OCTOAI_API_TOKEN``为您的API令牌。 或者,您可以使用octoai_api_token关键字参数。 任何可以传递给`openai.create`调用的有效参数都可以传递, 即使在此类上没有明确保存。 示例: .. code-block:: python from langchain_community.chat_models import ChatOctoAI chat = ChatOctoAI(model_name="mixtral-8x7b-instruct")""" octoai_api_base: str = Field(default=DEFAULT_API_BASE) octoai_api_token: SecretStr = Field(default=None) model_name: str = Field(default=DEFAULT_MODEL) @property def _llm_type(self) -> str: """聊天模型的返回类型。""" return "octoai-chat" @property def lc_secrets(self) -> Dict[str, str]: return {"octoai_api_token": "OCTOAI_API_TOKEN"}
[docs] @classmethod def is_lc_serializable(cls) -> bool: return False
@root_validator() def validate_environment(cls, values: Dict) -> Dict: """验证环境中是否存在API密钥和Python包。""" values["octoai_api_base"] = get_from_dict_or_env( values, "octoai_api_base", "OCTOAI_API_BASE", default=DEFAULT_API_BASE, ) values["octoai_api_token"] = convert_to_secret_str( get_from_dict_or_env(values, "octoai_api_token", "OCTOAI_API_TOKEN") ) values["model_name"] = get_from_dict_or_env( values, "model_name", "MODEL_NAME", default=DEFAULT_MODEL, ) try: import openai if is_openai_v1(): client_params = { "api_key": values["octoai_api_token"].get_secret_value(), "base_url": values["octoai_api_base"], } if not values.get("client"): values["client"] = openai.OpenAI(**client_params).chat.completions if not values.get("async_client"): values["async_client"] = openai.AsyncOpenAI( **client_params ).chat.completions else: values["openai_api_base"] = values["octoai_api_base"] values["openai_api_key"] = values["octoai_api_token"].get_secret_value() values["client"] = openai.ChatCompletion except ImportError: raise ImportError( "Could not import openai python package. " "Please install it with `pip install openai`." ) return values