File size: 2,273 Bytes
ee4bd26 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 | from openai import OpenAI
from langchain_openai import ChatOpenAI
from langchain_core.language_models.base import LanguageModelInput
from langchain_core.messages import (
AIMessage,
SystemMessage,
BaseMessage,
)
from typing import Any, Optional
class DeepSeekR1ChatOpenAI(ChatOpenAI):
def __init__(self, *args: Any, **kwargs: Any) -> None:
super().__init__(*args, **kwargs)
self.client = OpenAI(
base_url=kwargs.get("base_url"),
api_key=kwargs.get("api_key")
)
async def ainvoke(
self,
input: LanguageModelInput,
config: Optional[dict] = None,
*,
stop: Optional[list[str]] = None,
**kwargs: Any,
) -> AIMessage:
message_history = []
for input_ in input:
if isinstance(input_, SystemMessage):
message_history.append({"role": "system", "content": input_.content})
elif isinstance(input_, AIMessage):
message_history.append({"role": "assistant", "content": input_.content})
else:
message_history.append({"role": "user", "content": input_.content})
response = self.client.chat.completions.create(
model=self.model_name,
messages=message_history
)
content = response.choices[0].message.content
return AIMessage(content=content)
def invoke(
self,
input: LanguageModelInput,
config: Optional[dict] = None,
*,
stop: Optional[list[str]] = None,
**kwargs: Any,
) -> AIMessage:
message_history = []
for input_ in input:
if isinstance(input_, SystemMessage):
message_history.append({"role": "system", "content": input_.content})
elif isinstance(input_, AIMessage):
message_history.append({"role": "assistant", "content": input_.content})
else:
message_history.append({"role": "user", "content": input_.content})
response = self.client.chat.completions.create(
model=self.model_name,
messages=message_history
)
content = response.choices[0].message.content
return AIMessage(content=content)
|