Trace Analysis

The Final Answer Is Rarely the Whole Story

In an agent or multi-step workflow, a bad final answer is usually the *end* of a chain of steps, not a self-contained failure. A wrong tool choice, an ignored tool error, or context lost several steps earlier often sets up the eventual bad answer well before it appears. Trace analysis is the tool that makes finding that earlier step possible.

What It Involves

Trace analysis means logging every model call, tool call, its arguments, the tool result, and every intermediate message, then walking that sequence methodically:

• Log request/response pairs, tool invocations, and token usage at each hop of the workflow.
• Look for the earliest deviation, not the most visible one -- fixing only the last step often just moves the symptom to a different final output rather than removing the actual cause.
• Check stop_reason and content quality at each hop, the same signals used in single-call isolation, but applied across the whole chain rather than one request.

What Traces Also Expose

Beyond a single wrong tool call, walking a trace surfaces context problems: quality that degrades late in a long session, visible in the trace as increasingly noisy or irrelevant history, points to context rot or drift rather than a model defect. A trace makes that distinction visible in a way that inspecting only the final answer cannot.

Common Pitfalls

• Debugging only the final output of a multi-step agent, which hides the actual point of failure.
• Assuming a late-session quality drop must be a model limitation when the trace shows accumulated context bloat instead.
• Fixing the last visibly wrong step without tracing backward to confirm it's the *first* wrong step, which risks patching a symptom rather than the cause.