Commit Graph

3 Commits

Author SHA1 Message Date
Bohan Jiang
d12d690c38 fix(usage): bucket workspace usage by task_usage.created_at, not enqueue time (#1176)
GetWorkspaceUsageByDay and GetWorkspaceUsageSummary had the same date
attribution bug as the runtime endpoint fixed in #1167: they bucketed
and filtered on agent_task_queue.created_at (enqueue time), so a task
that queued at 23:58 and reported usage at 00:05 was attributed to the
prior day, and ?days=N became a rolling now()-N window that clipped the
morning of the earliest day returned.

Switch both queries to task_usage.created_at (~= task completion time)
and snap the since cutoff to start-of-day via DATE_TRUNC, mirroring
ListRuntimeUsage.

These endpoints have no frontend caller today, but per offline
discussion they will back the upcoming workspace-level usage dashboard.
Fix preemptively so the dashboard inherits correct numbers.

Add a regression test covering both endpoints with the same
cross-midnight + earliest-day-cutoff scenarios used for runtime usage.
2026-04-16 19:06:49 +08:00
Bohan Jiang
88982ad23f feat(issues): display token usage per issue in detail sidebar (#581)
* feat(issues): display token usage per issue in detail sidebar

Add a new "Token usage" section to the issue detail right sidebar that
shows aggregated input/output tokens, cache tokens, and run count across
all tasks for the issue. Backed by a new SQL query and API endpoint.

* fix(db): add index on agent_task_queue(issue_id) for usage queries

The GetIssueUsageSummary query joins agent_task_queue filtered by
issue_id across all statuses. The existing partial index (migration 022)
only covers queued/dispatched rows, so completed tasks require a
sequential scan. Add a general index to prevent performance degradation
as task volume grows.
2026-04-10 14:34:32 +08:00
Jiang Bohan
8a8d3ea20e feat(usage): add per-task token usage tracking
Extract token usage from Claude Code's stream-json output in real-time
during task execution, replacing the inaccurate global JSONL log scanner.

- New `task_usage` table: tracks (task_id, provider, model) level usage
- Agent SDK: parse `message.usage` from assistant messages, accumulate
  per-model and return in Result
- Daemon: convert agent usage to entries, send with CompleteTask
- Server: store usage on task completion, expose workspace-level
  aggregation APIs (GET /api/usage/daily, GET /api/usage/summary)
2026-04-08 13:08:15 +08:00