inf trace to inspect multi-step LLM workflows captured by Catalyst Tracing. It mirrors the dashboard trace viewer for headless debugging: list trace summaries, open a trace tree, render a timeline, inspect captured conversation messages, discover filter facets, and queue/download trace exports.
Alias: inf traces
inf trace upload
Upload a JSONL trace file into the active project. The CLI validates the format locally (OTLP or Langfuse export), uploads it in parts, waits for processing to finish, and prints the upload ID plus line counts. Same flow as the dashboard Upload button and inf dataset upload.
Arguments
Options
Uploaded traces appear under the Traces tab once processing completes. Filter them with all-time range and the upload ID (
trace_import_id in filters):
inf trace list
Display trace summaries in the active project.
inf trace ls
Options
Use
--json for the raw API payload with full trace IDs, pagination cursors, and aggregate counts.
Examples
inf trace get
Open a single trace and its spans.
inf trace show
Arguments
Options
The default summary view prints trace metadata and an ASCII span tree. Use
--view raw or global --json when piping trace data into scripts.
Examples
inf trace facets
Inspect available trace filter values and counts. This is useful when building a repeatable query and you do not know the exact model, service, environment, or attribute values in a project.
Options
inf trace facets accepts the same filter flags as inf trace list, plus:
Examples
Advanced filter syntax
--filter, --metadata, and --resource are repeatable. Quote expressions so your shell does not interpret operators.
inf trace export
Trace exports create downloadable JSONL files for offline analysis, support escalations, or long-running review workflows.
inf trace export create
Queue an export job.
inf trace export list
inf trace export status
inf trace export download
Related commands
inf spanlists and opens individual spans.inf inferenceinspects gateway request/response records.inf dashboardlaunches the interactive terminal dashboard.