Before You Add More Agents, Design the Control Plane
The article emphasizes the importance of designing a control plane before adding more agents in OpenAI's system. It outlines the need for clear task entry contracts, risk-based tool access, and evidence-based handoffs to ensure safe and efficient workflows. By establishing these guidelines, teams can minimize errors and improve the reliability of agent interactions.
- ▪Teams should define operational boundaries for agents before expanding their use.
- ▪A control plane can be simple, consisting of a checklist, policy file, and trace log.
- ▪Task entry contracts must clearly outline goals, trusted inputs, and acceptance standards.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3936036) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Tang Weigang Posted on May 27 Before You Add More Agents, Design the Control Plane #agents #architecture #openai #systemdesign OpenAI Agents Python makes it easy to describe agents, connect tools, define handoffs, and run agentic workflows. That is useful, but it also creates a trap: teams may start by adding more agents before they define the operational boundaries that make those agents safe to use in a real repository. The hard part is usually not getting the first demo to run.
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