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Chamadas assíncronas de ferramentas permitem que agentes de IA sigam conversando durante tarefas longas

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Um artigo técnico defende substituir a chamada bloqueante run() por um modelo start() e stop() para agentes de IA. Com esse contrato, start() devolve imediatamente um identificador de tarefa, enquanto o resultado chega depois como um evento lido pelo agente no próximo turno. Assim, o agente pode seguir respondendo ao usuário e recebendo novas instruções durante a execução de ferramentas demoradas, como suítes de testes. O texto aponta problemas do modelo bloqueante, como acúmulo de latência, instruções desatualizadas e timeouts de conexão. A abordagem é apresentada como referência de arquitetura, não como solução pronta para produção.

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