How to Build Production Ready AgentScope Workflows with ReAct Agents, Custom Tools, Multi-Agent Debate, Structured Output and Concurrent Pipelines

The article walks through building an AgentScope workflow and running it in Colab as the project goal.

Setup includes pip-installing agentscope, openai, pydantic, and nest_asyncio, patching the event loop with nest_asyncio, and collecting an OpenAI API key; OpenAI is wired through AgentScope and the model used is gpt-4o-mini, created via a make_model OpenAIChatModel factory.

PART 1 shows a basic model call: an async function part1_basic_model_call executes a model call to validate message/response handling.

Custom tool functions are defined and registered in a toolkit, auto-generated schemas are inspected to see tool exposure, and a ReAct-based agent decides when to call tools.

A multi-agent debate uses MsgHub for structured interaction, outputs are enforced with Pydantic, and a concurrent pipeline runs multiple specialists in parallel with a synthesiser combining their insights.