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Orchestrating Intelligent Agents

Over two years a working multi-agent system is built that treats agents as both clients and servers exposing tool definitions, orchestrates complex tasks into runs and threads, and uses human-in-the-loop where needed. Azure Cosmos DB is the persistence layer to persist run and thread context and store agent/tool definitions, chosen for flexible schema, low-latency global distribution and real-time consistency. The claim is that this setup makes multi-agent collaboration scalable, instantly consistent across agents and easy to experiment with as protocols evolve.

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