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from .BaseLLM import BaseLLM
from openai import OpenAI
import os
class LangChainGPT(BaseLLM):
def __init__(self, model="gpt-4o-mini"):
super(LangChainGPT, self).__init__()
self.client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
self.model_name = model
# add api_base
self.messages = []
def initialize_message(self):
self.messages = []
def ai_message(self, payload):
self.messages.append({"role": "ai", "content": payload})
def system_message(self, payload):
self.messages.append({"role": "system", "content": payload})
def user_message(self, payload):
self.messages.append({"role": "user", "content": payload})
def get_response(self,temperature = 0.8):
completion = self.client.chat.completions.create(
model=self.model_name,
messages=self.messages,
temperature=temperature,
top_p=0.8
)
return completion.choices[0].message.content
def chat(self,text,temperature = 0.8):
self.initialize_message()
self.user_message(text)
response = self.get_response(temperature = temperature)
return response
def print_prompt(self):
for message in self.messages:
print(message)
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