langchain/libs/community/langchain_community/chat_models/solar.py
Erick Friis 600b7bdd61
all: test 3.13 ci (#27197)
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
2024-10-25 12:56:58 -07:00

70 lines
2.2 KiB
Python

"""Wrapper around Solar chat models."""
from typing import Dict
from langchain_core._api import deprecated
from langchain_core.utils import get_from_dict_or_env, pre_init
from pydantic import ConfigDict, Field
from langchain_community.chat_models import ChatOpenAI
from langchain_community.llms.solar import SOLAR_SERVICE_URL_BASE, SolarCommon
@deprecated( # type: ignore[arg-type]
since="0.0.34", removal="1.0", alternative_import="langchain_upstage.ChatUpstage"
)
class SolarChat(SolarCommon, ChatOpenAI): # type: ignore[override, override]
"""Wrapper around Solar large language models.
To use, you should have the ``openai`` python package installed, and the
environment variable ``SOLAR_API_KEY`` set with your API key.
(Solar's chat API is compatible with OpenAI's SDK.)
Referenced from https://console.upstage.ai/services/solar
Example:
.. code-block:: python
from langchain_community.chat_models.solar import SolarChat
solar = SolarChat(model="solar-1-mini-chat")
"""
max_tokens: int = Field(default=1024)
# this is needed to match ChatOpenAI superclass
model_config = ConfigDict(
populate_by_name=True,
arbitrary_types_allowed=True,
extra="ignore",
)
@pre_init
def validate_environment(cls, values: Dict) -> Dict:
"""Validate that the environment is set up correctly."""
values["solar_api_key"] = get_from_dict_or_env(
values, "solar_api_key", "SOLAR_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["solar_api_key"],
"base_url": (
values["base_url"] if "base_url" in values else SOLAR_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