97 lines
3.5 KiB
Python
97 lines
3.5 KiB
Python
import json
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import os
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import logging
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from base_telegram_inference_bot import BaseTelegramInferenceBot
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from openai import OpenAI
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class ChatGPTTelegramInferenceBot(BaseTelegramInferenceBot):
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def __init__(self):
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super().__init__()
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self.client = OpenAI(api_key=os.environ.get("OPENAI_API_KEY"))
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self.model = "gpt-4o-mini"
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self.max_tokens = 16384
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def get_chat_response(self, messages):
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response = self.client.chat.completions.create(
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model=self.model,
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messages=[{"role": "system", "content": self.system_prompt}] + messages,
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functions=self.functions,
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function_call="auto",
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max_tokens=self.max_tokens
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)
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return response
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async def handle_message(self, user_id, user_message):
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if user_id not in self.conversation_history:
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self.conversation_history[user_id] = []
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self.conversation_history[user_id].append({"role": "user", "content": user_message})
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messages = self.conversation_history[user_id]
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response = self.get_chat_response(messages)
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assistant_message = response.choices[0].message
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tool_calls = []
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if hasattr(assistant_message, 'function_call') and assistant_message.function_call is not None:
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tool_calls.append(assistant_message.function_call)
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tool_use_count = 0
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while len(tool_calls) > 0 and tool_use_count < 50:
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tool_use_results = []
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for tool_call in tool_calls:
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tool_response = self.call_tool(tool_call)
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tool_use_results.append({"role": "function", "name": tool_call.name, "content": json.dumps(tool_response)})
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messages.extend(tool_use_results)
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response = self.get_chat_response(messages)
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assistant_message = response.choices[0].message
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messages.append({"role": "assistant", "content": assistant_message.content})
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tool_calls = []
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if hasattr(assistant_message, 'function_call') and assistant_message.function_call is not None:
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tool_calls.append(assistant_message.function_call)
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tool_use_count += 1
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if tool_use_count == 0:
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messages.append({"role": "assistant", "content": assistant_message.content})
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if len(self.conversation_history[user_id]) > 20:
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self.conversation_history[user_id] = self.conversation_history[user_id][-20:]
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return messages[-1]["content"]
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async def start(self):
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logging.info("Bot started")
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async def clear(self, user_id):
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super().clear_conversation(user_id)
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logging.info(f"Cleared conversation history for user {user_id}")
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async def status(self):
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return f"Currently using: {self.model}"
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async def abort_processing(self, user_id):
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if user_id in self.processing_status:
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self.processing_status[user_id]["processing"] = False
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await self.clear(user_id)
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return "Processing aborted."
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else:
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return "No active processing to abort."
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async def switch_model(self):
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if self.model == "gpt-4o-mini":
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self.model = "gpt-4o"
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self.max_tokens = 4096
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else:
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self.model = "gpt-4o-mini"
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self.max_tokens = 16384
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logging.info(f"Switched to model: {self.model}")
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return f"Switched to model: {self.model}"
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def main():
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bot = ChatGPTTelegramInferenceBot()
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telegram_helper = TelegramHelper(bot)
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telegram_helper.run()
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if __name__ == '__main__':
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main() |