Created
October 25, 2023 06:55
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autogen-example.py
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import autogen | |
config_list = [{ | |
'api_type': 'open_ai', | |
'api_base': "http://172.18.240.1:1234/v1", | |
'api_key': "NULL", | |
}] | |
llm_config = { | |
'request_timeout': 600, | |
'seed': 42, | |
'config_list': config_list, | |
'temperature': 0, | |
} | |
assistant = autogen.AssistantAgent( | |
name="assistant", | |
system_message="You are a code specializing in Python.", | |
llm_config=llm_config | |
) | |
user_proxy = autogen.UserProxyAgent( | |
name="user_proxy", | |
llm_config=llm_config, | |
human_input_mode="NEVER", | |
max_consecutive_auto_reply=10, | |
is_termination_msg=lambda x: x.get( | |
"content", "").rstrip().endswith("TERMINATE"), | |
code_execution_config={ | |
'work_dir': 'coding', | |
'use_docker': False | |
}, | |
system_message="Reply TERMINATE if the task has been solved at full satisfaction. Otherwise, Reply CONTINUE, or the reason why the task is not solved yet.", | |
) | |
task = """ | |
Write a python code to sum all the numbers in an array | |
""" | |
user_proxy.initiate_chat(assistant, message=task) |
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