AgentScope — Alibaba’s Flexible Multi-Agent Platform

Quick Start — Two-Agent Debate

sequentialpipeline runs agents in order, passing the output of one as input to the next. For more complex topologies use msghub (shared message broker) or IfElsePipeline for conditional routing. init() reads a list of model configs — switching models is a config change, not a code change.

# pip install agentscope
import agentscope
from agentscope.agents import DialogAgent, UserAgent
from agentscope.message import Msg
from agentscope.pipelines import sequentialpipeline

# Initialize with a model config
agentscope.init(
    model_configs=[{
        "config_name": "gpt-4o-mini",
        "model_type": "openai_chat",
        "model_name": "gpt-4o-mini",
        "api_key": "sk-...",
    }],
)

bull = DialogAgent(
    name="Bull",
    sys_prompt="You argue that AI agents are overhyped. Be concise and cite one concrete data point per turn.",
    model_config_name="gpt-4o-mini",
)
bear = DialogAgent(
    name="Bear",
    sys_prompt="You argue AI agents will transform every industry within 3 years. Concise, data-backed.",
    model_config_name="gpt-4o-mini",
)

topic = Msg(name="moderator", content="Resolved: multi-agent systems will dominate enterprise SW by 2028.", role="user")
# 3 rounds of Bull → Bear using a simple pipeline
for _ in range(3):
    topic = sequentialpipeline([bull, bear], x=topic)

print("Final:", topic.content)

Key Features

Comparison

Use Cases

Pricing & License

Frequently Asked Questions