Source code for langchain_community.chat_models.moonshot

"""Wrapper around Moonshot chat models."""
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] """Moonshot large language models. To use, you should have the ``openai`` python package installed, and the environment variable ``MOONSHOT_API_KEY`` set with your API key. (Moonshot's chat API is compatible with OpenAI's SDK.) Referenced from https://platform.moonshot.cn/docs Example: .. 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: """Validate that the environment is set up correctly.""" 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