Debugging a silently failing AI workflow with Agent Core full-link observability

Описание и применение

Туториал показывает, как использовать OTEL‑span в openJiuwen Agent Core для обнаружения тихих ошибок в многошаговых AI‑пайплайнах.

Задача

A multi-step agent pipeline can silently return a wrong final output without raising errors, making the failure hard to detect until downstream teams notice.

Результат

The tutorial demonstrates that full‑link observability via OTEL spans enables pinpointing silent failures in agent pipelines, improving debugging reliability.

Рабочий процесс

• Clone the tutorial repo and install dependencies
• Set required environment variables (OPENJIUWEN_API_KEY, etc.)
• Configure the ReActAgent with AgentCard and ReActAgentConfig
• Wrap each pipeline step in a custom OTEL span that records diagnostics
• Run the pipeline and collect spans via InMemorySpanExporter
• Query the exported spans for latency, token counts, and failure flags
• Identify the node where token count is zero or failure flag is set
• Fix the silent failure in that node
• Re‑run the pipeline to verify correct output

Доказательства

The most difficult AI workflows to debug are the ones that don't crash.

Источник

You will instrument a three-node pipeline (fetch → analyze → summarize) with OTEL-compatible spans

Источник

Full-link observability in Agent Core means that every tool call, token count, and step latency is captured as a structured, OTEL-compatible span

Источник