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72 lines
2.0 KiB
72 lines
2.0 KiB
5 months ago
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import os
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from typing import Any, Dict, Optional
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from autogen import ConversableAgent
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from loguru import logger
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from swarms import Agent
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class AutogenAgentWrapper(Agent):
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"""
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Wrapper class for the ConversableAgent that provides additional functionality.
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"""
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def __init__(
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self,
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name: str,
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llm_config: Dict[str, Any],
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*args: Any,
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**kwargs: Any,
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):
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"""
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Initialize the AutogenAgentWrapper.
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Args:
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name (str): The name of the agent.
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llm_config (Dict[str, Any]): The configuration for the ConversableAgent.
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*args: Additional positional arguments.
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**kwargs: Additional keyword arguments.
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"""
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super().__init__(*args, **kwargs)
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self.name = name
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self.autogen_agent = ConversableAgent(
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name=name,
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llm_config=llm_config,
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code_execution_config=False,
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function_map=None,
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human_input_mode="NEVER",
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)
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def run(self, task: str, *args: Any, **kwargs: Any) -> Optional[str]:
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"""
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Run the AutogenAgentWrapper.
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Args:
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task (str): The task to be performed by the agent.
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*args: Additional positional arguments.
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**kwargs: Additional keyword arguments.
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Returns:
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Optional[str]: The response generated by the agent, or None if an error occurred.
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"""
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try:
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messages = [{"content": task, "role": "user"}]
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response = self.autogen_agent.generate_reply(messages)
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logger.info("Task: %s, Response: %s", task, response)
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return response
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except Exception as e:
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logger.error("An error occurred: %s", str(e))
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return None
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llm_config = {
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"config_list": [
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{"model": "gpt-4", "api_key": os.environ.get("OPENAI_API_KEY")}
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]
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}
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autogen_wrapper = AutogenAgentWrapper("AutogenAssistant", llm_config)
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result = autogen_wrapper.run("Tell me a joke about programming.")
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print(result)
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