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"""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
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
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