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Design and implement a production-grade control plane for orchestrating multiple AI agents. Generates architecture blueprints, coordination protocols, lifecycle management logic, and governance policies for complex multi-agent systems.
1. Fill in agent_roles with as much specificity as possible — list each agent type, its function, and any dependencies between agents to get the most accurate routing and coordination design. 2. For scale_requirements, always include both steady-state and burst numbers plus your latency SLA; this determines whether the prompt recommends a centralized vs. distributed scheduler topology. 3. If you want implementation code in a specific language (TypeScript, Go, etc.), append 'Generate all code in {language}' to the prompt before the Constraints section.
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