Span-Level Observability Uncovers Hidden Retries Slowing Multi-Agent AI Pipelines

A developer named Sarvar identified a hidden retry mechanism causing one agent in a five-agent pipeline to take 22.6 seconds, while others completed in around 5 seconds. The latency was not caused by the agent's core logic but by its retry envelope, which remained invisible without proper instrumentation. Using Sentry's hierarchical span tracking, the retry pattern became immediately apparent, a visibility that flat logging alone would not have provided. In multi-agent systems, a single poorly configured retry strategy can cascade and compound across the entire pipeline, creating what the post describes as a "retry forest." The case highlights that span-level observability should be built into agentic systems from the start, as diagnosing the issue took far longer than actually fixing it.