¿Qué es un runtime de agentes?
En términos técnicos, The execution environment that manages an AI agent's model calls, tools, state, memory, permissions, retries, streaming, events, observability, and lifecycle.
¿Por qué es importante?
Es importante porque A runtime turns an agent definition into a dependable process with scheduling, isolation, state management, recovery, and controls.
Cómo funciona
El sistema funciona así: The runtime accepts a task, loads policy and state, invokes a model, validates and executes tools, checkpoints progress, emits traces, and stops or resumes.
Ejemplo técnico
Ejemplo: A support runtime suspends while waiting for a customer, resumes after a webhook, rotates providers, and preserves one audit trace.
Notas de implementación
Notas técnicas: Design for durable execution, idempotent events, cancellation, timeouts, concurrency, secret isolation, sandboxing, versioning, budgets, and approvals.
