DrowAI

User guide

DrowAI user guide

Product documentation for installing DrowAI, setting up Runner services, and understanding the main workspaces. Use it as a practical reference before running the application or preparing a task workflow.

Reporting

Usage workspace

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A visual guide to the DrowAI Usage tab for task-scoped LLM usage, cache behavior, and cost review.

The Usage tab shows task-scoped LLM usage. It helps operators review token volume, cost, cache behavior, timeline, group breakdowns, and per-call records for a selected task.

Annotated DrowAI Usage workspace

Primary regions

  • The task selector chooses which task’s usage is displayed.
  • Usage context explains that all usage data is scoped to the selected task.
  • Filters change grouping by role, node, branch, provider, model, or API surface.
  • The optional conversation ID filter narrows the view to a single conversation.
  • Overview metrics summarize server-derived totals, cost splits, cache metrics, and token volume.
  • Breakdowns show cost grouped by the selected dimension.
  • Timeline shows chronological cumulative cost per model call.
  • Records show paginated per-call usage rows.

Records

The Records section gives a lower-level audit trail for the same task. It is useful when a user needs to inspect individual model calls instead of only working from aggregate metrics.

Annotated DrowAI Usage records

Review guidance

Use Usage when a task has unusual cost, unexpectedly high token volume, or a cache pattern that needs explanation. The page is not a finding system by itself; it is supporting context for task review, reporting quality, and operational transparency.

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