智能体 / NAVIN RESEARCH
AI Agent Observability: Traces That Help Debug Failures
Capture decisions, tool calls, latency, cost, and evidence without turning traces into a privacy liability.
Capture decisions, tool calls, latency, cost, and evidence without turning traces into a privacy liability.
简要回答: Trace the observable workflow: model request identifiers, selected tools, validated arguments, redacted results, state transitions, policy decisions, cost, and timing. Do not depend on hidden chain-of-thought; inspect outcomes and available summaries instead.
实施步骤
- Assign one trace ID across orchestration, model calls, and tools.
- Record structured events with schema versions and redaction at ingestion.
- Link final claims to retrieved evidence or tool outputs.
- Sample routine success while retaining policy violations and failures under controlled access.
验证清单
- Reconstruct a failed task using only retained trace data.
- Check that secrets and personal data are removed before storage.
- Alert on loops, repeated tool errors, and unusual cost or latency.
常见错误
- Logging complete prompts by default.
- Metrics without task-level success labels.
- A dashboard that cannot connect a final error to its upstream call.
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。
