🤖 Agents

Shipping AI Agents to Production

Observability, retries, tool safety

Agents fail in the seams. Instrument every tool call, constrain outputs with JSON schemas, sandbox side‑effects, and implement compensating actions for partial failures.

Adopt trace‑first debugging: each run produces a timeline with inputs, outputs and costs. This reduces MTTR dramatically.

Production checklist

  • Deterministic tools: typed inputs/outputs, idempotent actions, timeouts.
  • Guardrails: JSON schema validation, allowed tools list, safe fallbacks.
  • Retries: classify transient vs fatal; exponential backoff; DLQ.
  • Observability: traces with spans per tool, prompt versions, costs.
  • Rollbacks: compensating actions and saga‑like orchestration.

Debugging playbook

  1. Capture failing run with complete timeline and environment.
  2. Reproduce with fixed seed and frozen tools.
  3. Add rule or test to prevent regression; ship canary; observe.

Security considerations

  • Restrict secrets to scoped tokens; never expose env in traces.
  • Rate‑limit tools and enforce allowlist for destinations.
  • Run untrusted code in sandboxes; log all side‑effects.

← Back to Blog