| from .BaseLLM import BaseLLM | |
| from volcenginesdkarkruntime import Ark | |
| import os | |
| class Doubao(BaseLLM): | |
| def __init__(self, model="ep-20241228220355-cqxcs"): | |
| super(Doubao, self).__init__() | |
| self.client = Ark(api_key=os.environ.get("ARK_API_KEY")) | |
| self.model_name = model | |
| 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): | |
| self.initialize_message() | |
| self.user_message(text) | |
| response = self.get_response() | |
| return response | |
| def print_prompt(self): | |
| for message in self.messages: | |
| print(message) |