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December 28, 2025 · 1 min read

How would you design an API for an AI agent to manage multi-agent workflows, ensuring scalability and responsiveness to real-time inputs?

The API should adopt a RESTful design that allows agents to register tasks and manage workflows asynchronously. Using WebSockets or Server-Sent Events for real-time communication can enhance responsiveness, while implementing…

Debasis Bhattacharjee

SOFTWARE_ARCHITECT // AI_ENGINEER

📅 Dec 28, 2025 ⏱ 1 min read

HW

How would you design an API for an AI agent to manage multi-agent workflows, ensuring scalability and responsiveness to real-time inputs?

COVER // HOW WOULD YOU DESIGN AN API FOR AN AI AGENT TO MANAGE MULTI-AGENT WORKFLOWS, ENSURING SCALABILITY AND RESPONSIVENESS TO REAL-TIME INPUTS?

The API should adopt a RESTful design that allows agents to register tasks and manage workflows asynchronously. Using WebSockets or Server-Sent Events for real-time communication can enhance responsiveness, while implementing a message queue like RabbitMQ can help in managing task distribution across agents for scalability.

agents AI api scalability workflows

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