The platform-level trace browser: every AI execution trace in one table, with a step-by-step timeline for each.
Overview
Inside a project there's an Observability screen with a single Traces tab. Unlike an agent's own Observability tab — which shows sessions and traces for that one agent — this is the global trace browser: it lists execution traces across agents in one place, including traces reported into the platform by external agents. Two things to know: it has no side-navigation entry today, so you reach it by URL (the project's /observability/traces path or a link from another screen), and the list is time-scoped rather than filtered to the project you opened it from.
Where: Project › Observability › Traces
Screenshot TODO — Observability — global traces
Traces table
A table of traces with Trace ID, Input, Output, Latency, and Start Time columns. A Date Filter (defaulting to the last 30 days, with presets) scopes the list — the table only loads once a date range is set — and more rows load as you scroll (10 at a time). Attribute filters are available on top of the date range. Click a row to open the trace's timeline in a drawer.
Where: Observability › Traces
Seeing when I open a trace
A wide, resizable drawer titled with the trace's name and ID. On the left is the trace timeline — the ordered, nested steps the execution ran; on the right, the detail panel for whichever step is selected, with its Input and Output payloads and a strip of facts about the step: its status, the model used, the tool invoked, latency, cost, tokens (input/output, plus cache reads and writes where applicable), and timing.
Where: Observability › Traces, trace drawer