Source code for langchain_community.chat_models.moonshot
"""Moonshot聊天模型的封装。"""
from typing import Dict
from langchain_core.pydantic_v1 import root_validator
from langchain_core.utils import get_from_dict_or_env
from langchain_community.chat_models import ChatOpenAI
from langchain_community.llms.moonshot import MOONSHOT_SERVICE_URL_BASE, MoonshotCommon
[docs]class MoonshotChat(MoonshotCommon, ChatOpenAI): # type: ignore[misc]
"""实现大型语言模型。
要使用,您应该已安装``openai`` python包,并且
环境变量``MOONSHOT_API_KEY``设置为您的API密钥。
(Moonshot的聊天API与OpenAI的SDK兼容。)
参考自https://platform.moonshot.cn/docs
示例:
.. code-block:: python
from langchain_community.chat_models.moonshot import MoonshotChat
moonshot = MoonshotChat(model="moonshot-v1-8k")"""
@root_validator()
def validate_environment(cls, values: Dict) -> Dict:
"""验证环境是否设置正确。"""
values["moonshot_api_key"] = get_from_dict_or_env(
values, "moonshot_api_key", "MOONSHOT_API_KEY"
)
try:
import openai
except ImportError:
raise ImportError(
"Could not import openai python package. "
"Please install it with `pip install openai`."
)
client_params = {
"api_key": values["moonshot_api_key"].get_secret_value(),
"base_url": values["base_url"]
if "base_url" in values
else MOONSHOT_SERVICE_URL_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
return values