USE CASES / PURPOSE BEFORE TELEMETRY
Clarity for the work you ship.
Three ways to use request-level detail when an AI feature becomes part of a real workflow.
01 / SUPPORT
Find the friction in the conversation.
A support assistant combines retrieval, generation and policy checks. Trace each step to distinguish a slow knowledge search from a delayed model response. Keep repeated attempts attached to the original request.
02 / KNOWLEDGE
Follow the path from question to context.
A knowledge assistant needs more than an answer time. Trace document retrieval, ranking and prompt assembly separately. Store references and safe metadata when retaining the original content would reveal too much.
03 / AGENTS
Make each handoff visible.
Agent workflows can include several model calls and tools. Group related spans into a request, record which step initiated the next, and inspect the point where the workflow branched or retried.
FOLLOW THE SIGNAL
See the whole request.
From the first token to the final answer. Bring the detail into view.
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Tracefield is a fictional product. All metrics and integrations are illustrative.