Source code for langchain_community.llms.javelin_ai_gateway
from __future__ import annotations
from typing import Any, Dict, List, Mapping, Optional
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models.llms import LLM
from langchain_core.pydantic_v1 import BaseModel, Extra
# Ignoring type because below is valid pydantic code
# Unexpected keyword argument "extra" for "__init_subclass__" of "object"
[docs]class Params(BaseModel, extra=Extra.allow): # type: ignore[call-arg]
"""Javelin AI 网关 LLM 的参数。"""
temperature: float = 0.0
stop: Optional[List[str]] = None
max_tokens: Optional[int] = None
[docs]class JavelinAIGateway(LLM):
"""Javelin AI Gateway LLMs.
要使用,您应该已安装``javelin_sdk`` python包。
有关更多信息,请参阅 https://docs.getjavelin.io
示例:
.. code-block:: python
from langchain_community.llms import JavelinAIGateway
completions = JavelinAIGateway(
gateway_uri="<your-javelin-ai-gateway-uri>",
route="<your-javelin-ai-gateway-completions-route>",
params={
"temperature": 0.1
}
)
"""
route: str
"""Javelin AI 网关 API 使用的路由。"""
client: Optional[Any] = None
"""Javelin AI 网关客户端。"""
gateway_uri: Optional[str] = None
"""Javelin AI Gateway API的URI。"""
params: Optional[Params] = None
"""Javelin AI Gateway API的参数。"""
javelin_api_key: Optional[str] = None
"""Javelin AI Gateway API 的 API 密钥。"""
def __init__(self, **kwargs: Any):
try:
from javelin_sdk import (
JavelinClient,
UnauthorizedError,
)
except ImportError:
raise ImportError(
"Could not import javelin_sdk python package. "
"Please install it with `pip install javelin_sdk`."
)
super().__init__(**kwargs)
if self.gateway_uri:
try:
self.client = JavelinClient(
base_url=self.gateway_uri, api_key=self.javelin_api_key
)
except UnauthorizedError as e:
raise ValueError("Javelin: Incorrect API Key.") from e
@property
def _default_params(self) -> Dict[str, Any]:
"""获取调用Javelin AI Gateway API 的默认参数。"""
params: Dict[str, Any] = {
"gateway_uri": self.gateway_uri,
"route": self.route,
"javelin_api_key": self.javelin_api_key,
**(self.params.dict() if self.params else {}),
}
return params
@property
def _identifying_params(self) -> Mapping[str, Any]:
"""获取识别参数。"""
return self._default_params
def _call(
self,
prompt: str,
stop: Optional[List[str]] = None,
run_manager: Optional[CallbackManagerForLLMRun] = None,
**kwargs: Any,
) -> str:
"""调用Javelin AI Gateway API。"""
data: Dict[str, Any] = {
"prompt": prompt,
**(self.params.dict() if self.params else {}),
}
if s := (stop or (self.params.stop if self.params else None)):
data["stop"] = s
if self.client is not None:
resp = self.client.query_route(self.route, query_body=data)
else:
raise ValueError("Javelin client is not initialized.")
resp_dict = resp.dict()
try:
return resp_dict["llm_response"]["choices"][0]["text"]
except KeyError:
return ""
async def _acall(
self,
prompt: str,
stop: Optional[List[str]] = None,
run_manager: Optional[AsyncCallbackManagerForLLMRun] = None,
**kwargs: Any,
) -> str:
"""调用异步的Javelin AI Gateway API。"""
data: Dict[str, Any] = {
"prompt": prompt,
**(self.params.dict() if self.params else {}),
}
if s := (stop or (self.params.stop if self.params else None)):
data["stop"] = s
if self.client is not None:
resp = await self.client.aquery_route(self.route, query_body=data)
else:
raise ValueError("Javelin client is not initialized.")
resp_dict = resp.dict()
try:
return resp_dict["llm_response"]["choices"][0]["text"]
except KeyError:
return ""
@property
def _llm_type(self) -> str:
"""llm的返回类型。"""
return "javelin-ai-gateway"