For AI agents: the complete documentation index is available at https://docs.flezise.com/llms.txt, the full documentation bundle is available at https://docs.flezise.com/llms-full.txt, and this page is available as Markdown at https://docs.flezise.com/administration/run-history.md.

Run history

Run history is the org-wide list of every AI generation run dispatched across every project in the organization. Open it at SettingsRun History to see which runs succeeded, which failed, and how each one performed by tokens and duration.

Org Run History with status filter pills for all, ok, and failed; a Search runs input; and the table showing Time, Artifact, Run, Tokens, Duration, and Status

Three pills at the top of the table narrow the view by outcome: all shows every run, ok limits the view to runs that completed without error, and failed isolates runs that returned an error type. Only one pill is active at a time.

Type in Search runs... to filter visible rows without a server round trip. The search matches against artifact ID, run number, status string, and timestamp. A counter at the right of the toolbar shows how many rows are visible out of the total loaded.

The run table

ColumnWhat it shows
TimeWhen the run was dispatched, in local time
ArtifactThe first eight characters of the artifact UUID; hover the cell for the full ID
RunThe generation run number within that artifact
TokensTotal tokens consumed; a dash when the gateway returned no usage data
DurationWall-clock time from dispatch to finish, in seconds; a dash when not recorded
Statusok in green for a run that completed without error, or the error type string in red for a failure

Rows are sorted newest first. A new organization shows "No generation runs recorded yet." When a filter or search term produces no matches, the table shows "No runs match your filters."

Next steps

  • Audit trail: the hash-chained event log behind each run, recording every action from dispatch through outcome
  • Cost analytics: spend and token totals that aggregate these runs by project and model
  • Runs: the project-level view with dispatch timeline, trigger, and task details per run