O que é um runtime de agentes?
Em termos técnicos, The execution environment that manages an AI agent's model calls, tools, state, memory, permissions, retries, streaming, events, observability, and lifecycle.
Por que isso é importante?
Isso é importante porque A runtime turns an agent definition into a dependable process with scheduling, isolation, state management, recovery, and controls.
Como funciona
O sistema funciona assim: The runtime accepts a task, loads policy and state, invokes a model, validates and executes tools, checkpoints progress, emits traces, and stops or resumes.
Exemplo técnico
Exemplo: A support runtime suspends while waiting for a customer, resumes after a webhook, rotates providers, and preserves one audit trace.
Notas de implementação
Notas técnicas: Design for durable execution, idempotent events, cancellation, timeouts, concurrency, secret isolation, sandboxing, versioning, budgets, and approvals.
