complex workflows
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Guide to Orchestrate ReAct-Based Multi-Agent Workflows
Read Full Article: Guide to Orchestrate ReAct-Based Multi-Agent Workflows
An advanced multi-agent incident response system is developed using AgentScope, orchestrating multiple ReAct agents with distinct roles such as routing, triage, analysis, writing, and review. These agents are connected through structured routing and a shared message hub, utilizing OpenAI models and lightweight tool calling to create complex workflows in Python. The system demonstrates the scalability of agentic AI applications from simple experiments to production-level reasoning pipelines, maintaining clarity and extensibility. This matters as it showcases how AI can be used to automate and enhance complex decision-making processes in real-world scenarios.
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