mirror of
https://github.com/hwchase17/langchain
synced 2024-11-06 03:20:49 +00:00
75173d31db
Add our solar chat models, available model choices: * solar-1-mini-chat * solar-1-mini-translate-enko * solar-1-mini-translate-koen More documents and pricing can be found at https://console.upstage.ai/services/solar. The references to our solar model can be found at * https://arxiv.org/abs/2402.17032 --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>
120 lines
4.0 KiB
Python
120 lines
4.0 KiB
Python
from typing import Any, Dict, List, Optional
|
|
|
|
import requests
|
|
from langchain_core.callbacks import CallbackManagerForLLMRun
|
|
from langchain_core.language_models import LLM
|
|
from langchain_core.pydantic_v1 import BaseModel, Field, SecretStr, root_validator
|
|
from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
|
|
|
|
from langchain_community.llms.utils import enforce_stop_tokens
|
|
|
|
SOLAR_SERVICE_URL_BASE = "https://api.upstage.ai/v1/solar"
|
|
SOLAR_SERVICE = "https://api.upstage.ai"
|
|
|
|
|
|
class _SolarClient(BaseModel):
|
|
"""An API client that talks to the Solar server."""
|
|
|
|
api_key: SecretStr
|
|
"""The API key to use for authentication."""
|
|
base_url: str = SOLAR_SERVICE_URL_BASE
|
|
|
|
def completion(self, request: Any) -> Any:
|
|
headers = {"Authorization": f"Bearer {self.api_key.get_secret_value()}"}
|
|
response = requests.post(
|
|
f"{self.base_url}/chat/completions",
|
|
headers=headers,
|
|
json=request,
|
|
)
|
|
if not response.ok:
|
|
raise ValueError(f"HTTP {response.status_code} error: {response.text}")
|
|
return response.json()["choices"][0]["message"]["content"]
|
|
|
|
|
|
class SolarCommon(BaseModel):
|
|
_client: _SolarClient
|
|
base_url: str = SOLAR_SERVICE_URL_BASE
|
|
solar_api_key: Optional[SecretStr] = Field(default=None, alias="api_key")
|
|
"""Solar API key. Get it here: https://console.upstage.ai/services/solar"""
|
|
model_name: str = Field(default="solar-1-mini-chat", alias="model")
|
|
"""Model name. Available models listed here: https://console.upstage.ai/services/solar"""
|
|
max_tokens: int = Field(default=1024, alias="max context")
|
|
temperature = 0.3
|
|
|
|
class Config:
|
|
allow_population_by_field_name = True
|
|
arbitrary_types_allowed = True
|
|
extra = "ignore"
|
|
|
|
@property
|
|
def lc_secrets(self) -> dict:
|
|
return {"solar_api_key": "SOLAR_API_KEY"}
|
|
|
|
@property
|
|
def _default_params(self) -> Dict[str, Any]:
|
|
return {
|
|
"model": self.model_name,
|
|
"max_tokens": self.max_tokens,
|
|
"temperature": self.temperature,
|
|
}
|
|
|
|
@property
|
|
def _invocation_params(self) -> Dict[str, Any]:
|
|
return {**{"model": self.model_name}, **self._default_params}
|
|
|
|
@root_validator(pre=True)
|
|
def build_extra(cls, values: Dict[str, Any]) -> Dict[str, Any]:
|
|
return values
|
|
|
|
@root_validator()
|
|
def validate_environment(cls, values: Dict) -> Dict:
|
|
api_key = get_from_dict_or_env(values, "solar_api_key", "SOLAR_API_KEY")
|
|
if api_key is None or len(api_key) == 0:
|
|
raise ValueError("SOLAR_API_KEY must be configured")
|
|
|
|
values["solar_api_key"] = convert_to_secret_str(api_key)
|
|
|
|
if "base_url" not in values:
|
|
values["base_url"] = SOLAR_SERVICE_URL_BASE
|
|
|
|
if "base_url" in values and not values["base_url"].startswith(SOLAR_SERVICE):
|
|
raise ValueError("base_url must match with: " + SOLAR_SERVICE)
|
|
|
|
values["_client"] = _SolarClient(
|
|
api_key=values["solar_api_key"], base_url=values["base_url"]
|
|
)
|
|
return values
|
|
|
|
@property
|
|
def _llm_type(self) -> str:
|
|
return "solar"
|
|
|
|
|
|
class Solar(SolarCommon, LLM):
|
|
"""Solar large language models.
|
|
To use, you should have the environment variable
|
|
``SOLAR_API_KEY`` set with your API key.
|
|
Referenced from https://console.upstage.ai/services/solar
|
|
"""
|
|
|
|
class Config:
|
|
allow_population_by_field_name = True
|
|
|
|
def _call(
|
|
self,
|
|
prompt: str,
|
|
stop: Optional[List[str]] = None,
|
|
run_manager: Optional[CallbackManagerForLLMRun] = None,
|
|
**kwargs: Any,
|
|
) -> str:
|
|
request = self._invocation_params
|
|
request["messages"] = [{"role": "user", "content": prompt}]
|
|
request.update(kwargs)
|
|
text = self._client.completion(request)
|
|
if stop is not None:
|
|
# This is required since the stop tokens
|
|
# are not enforced by the model parameters
|
|
text = enforce_stop_tokens(text, stop)
|
|
|
|
return text
|