In AI observability, a run (or session) represents one complete execution of a prompt or agent from start to finish, recording the entire user-assistant conversation; a trace captures the trajectory the assistant took to generate the final output, with a single run potentially containing multiple traces; and a span is the minimum unit of information within a trace, capturing individual thoughts, tool calls, or generated assets, with traces composed of multiple spans.
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Runs, Traces, Spans: AI Observability EXPLAINED in 30 Seconds!Hinzugefügt:
Let's define the four most important concepts. First, we have runs, and these can also be known as sessions. A run is one complete execution of your prompt or agent from start to finish. It records the entire conversation between the user and the assistant. Next, we have trace.
A trace captures the whole trajectory the assistant took to generate the final output in an interaction. A run can have several traces. Finally, we have span. A span is the minimum unit of information within a trace. It captures the immediate thought, tool call, or generated asset. A trace is composed of multiple spans.
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