Resource Budgets for Tool-Using AI Agents
Learn how to stop runaway AI agents with token budgets, cost ceilings, step limits, wall-clock deadlines, loop detection, and graceful degradation.
Topic
6 Devspedia articles tagged with observability.
Learn how to stop runaway AI agents with token budgets, cost ceilings, step limits, wall-clock deadlines, loop detection, and graceful degradation.
Learn how to make AI agent side effects safer with compensating actions, recovery policies, idempotent undo steps, and operator-ready audit trails.
Learn how to make AI agent side effects recoverable with command ledgers, fenced execution, reconciliation jobs, and replay-safe workflows.
Learn how to retry transient failures without amplifying outages by combining timeouts, backoff, jitter, budgets, and observability.
Learn how to design dead-letter queues with useful metadata, triage workflows, safe replay tools, and clear ownership so failed events can be recovered instead of ignored.
Learn how to implement comprehensive observability in distributed systems using OpenTelemetry. This guide covers tracing, metrics, and logging with practical examples for mid to senior developers.