智能体 / NAVIN RESEARCH
Multi-Agent Orchestration Patterns That Work in Production
Choose among manager-worker, parallel fan-out, handoff, and evaluator loops without building an uncontrolled agent swarm.
Choose among manager-worker, parallel fan-out, handoff, and evaluator loops without building an uncontrolled agent swarm.
简要回答: Prefer explicit orchestration. A manager-worker pattern suits decomposable tasks, parallel fan-out suits independent research, handoffs suit distinct permissions, and evaluator loops suit outputs that can be checked. Each pattern needs bounded turns and a typed result.
实施步骤
- Classify the task as sequential, parallel, specialist-routed, or iteratively verifiable.
- Define the state passed between agents; pass artifacts and decisions, not entire transcripts by default.
- Set per-agent time, tool, and token budgets.
- Merge results with deterministic code before asking a model to resolve only genuine conflicts.
验证清单
- Replay the same task and inspect variance in routing and final quality.
- Inject a failed worker and confirm graceful degradation.
- Trace who produced each claim and which tool evidence supports it.
常见错误
- All-to-all chat topologies.
- A reviewer that merely restates the draft.
- No global cancellation or deadline propagation.
实际决策
先交付能够通过上述检查的最小设计。记录测试中使用的模型、提示词、工具、数据集与运行时版本，让后续变化可以被比较而不是被猜测。依赖供应商的限制、模型名称、价格或预览功能之前，请重新检查链接文档；这些细节变化往往快于本文的工程原则。
