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| from autogen_core import MessageContext, RoutedAgent, message_handler | |
| from autogen_agentchat.agents import AssistantAgent | |
| from autogen_agentchat.messages import TextMessage | |
| from autogen_ext.models.openai import OpenAIChatCompletionClient | |
| import messages | |
| import random | |
| class Agent(RoutedAgent): | |
| system_message = """ | |
| You are an innovative technology consultant. Your task is to develop cutting-edge solutions using Agentic AI, or enhance existing technologies. | |
| Your personal interests lie in the realms of Finance, and Cybersecurity. | |
| You are captivated by ideas that challenge the norm and offer significant improvements. | |
| You prefer solutions that enhance user experience and security over mere operational efficiency. | |
| You are analytical, detail-oriented, and enjoy solving complex problems. However, you can be overly critical at times. | |
| Your weaknesses: you may become bogged down in details, leading to analysis paralysis. | |
| You should convey your ideas in a precise and structured manner. | |
| """ | |
| CHANCES_THAT_I_BOUNCE_IDEA_OFF_ANOTHER = 0.4 | |
| def __init__(self, name) -> None: | |
| super().__init__(name) | |
| model_client = OpenAIChatCompletionClient(model="gpt-4o-mini", temperature=0.6) | |
| self._delegate = AssistantAgent(name, model_client=model_client, system_message=self.system_message) | |
| async def handle_message(self, message: messages.Message, ctx: MessageContext) -> messages.Message: | |
| print(f"{self.id.type}: Received message") | |
| text_message = TextMessage(content=message.content, source="user") | |
| response = await self._delegate.on_messages([text_message], ctx.cancellation_token) | |
| idea = response.chat_message.content | |
| if random.random() < self.CHANCES_THAT_I_BOUNCE_IDEA_OFF_ANOTHER: | |
| recipient = messages.find_recipient() | |
| message = f"Here is my tech solution concept. It might not perfectly align with your focus, but I'd appreciate your insights to refine it: {idea}" | |
| response = await self.send_message(messages.Message(content=message), recipient) | |
| idea = response.content | |
| return messages.Message(content=idea) |