Source: OpenAI
#Why This Article
OpenAI's comprehensive framework for agent design — covering use-case identification, logic design patterns, orchestration, and safety. Provides a vendor-neutral mental model for thinking about agent architecture.
#Key Takeaways
- Start with use-case identification: not every problem needs an agent
- Agent logic design patterns: routing, tool use, planning, and reflection
- Orchestration patterns for multi-agent systems
- Safety and guardrails as first-class concerns, not afterthoughts
- Evaluation methodology for agent reliability
#Value for Practitioners
A solid foundational framework for anyone new to agent engineering. Complements the more implementation-specific guidance from Anthropic and Manus with a broader architectural perspective.