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conversation.py
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conversation.py
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# -*- coding: utf-8 -*-
"""A simple example for conversation between user and assistant agent."""
import agentscope
from agentscope.agents import DialogAgent
from agentscope.agents.user_agent import UserAgent
from agentscope.pipelines.functional import sequentialpipeline
def main() -> None:
"""A basic conversation demo"""
agentscope.init(
model_configs=[
{
"model_type": "openai_chat",
"config_name": "gpt-3.5-turbo",
"model_name": "gpt-3.5-turbo",
"api_key": "xxx", # Load from env if not provided
"organization": "xxx", # Load from env if not provided
"generate_args": {
"temperature": 0.5,
},
},
{
"model_type": "post_api_chat",
"config_name": "my_post_api",
"api_url": "https://xxx",
"headers": {},
},
],
project="Multi-Agent Conversation",
)
# Init two agents
dialog_agent = DialogAgent(
name="Assistant",
sys_prompt="You're a helpful assistant.",
model_config_name="gpt-3.5-turbo", # replace by your model config name
)
user_agent = UserAgent()
# start the conversation between user and assistant
x = None
while x is None or x.content != "exit":
x = sequentialpipeline([dialog_agent, user_agent], x)
if __name__ == "__main__":
main()