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nntrivi2001 57dc91585d feat: Claude Code Monitor — lanes, pipelines and a merged workspace
Internal SmartGift build of a Claude Code monitoring dashboard.

Lanes: a durable unit of parallel agent work, one per working directory,
tracked across session restarts. Managed lanes are git worktrees the
dashboard provisions and can reset or remove behind a three-check destroy
guard and a counted preflight; adopted lanes are directories you already
own and are never destroyable.

Pipelines: a lane moves through pipeline stages. A stage the agent declares
with evidence renders green; a stage inferred from the tool-event stream
renders dashed amber and never counts as done. Detection is forward-only
within a 30-minute window, and never writes the declared stage.

Workspace: one page at /run with a lane grid, the selected lane's pipeline,
and a full Claude console behind a disclosure.
2026-07-30 14:39:03 +07:00

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Markdown

---
description: List the most recent APIError events with their session and a summary
argument-hint: "[N]"
---
List the most recent Claude Code errors from the Agent Monitor dashboard at
`http://localhost:4820`. `$ARGUMENTS` is the number of errors to show (default 10).
1. Pull recent events and keep only API errors:
```bash
curl -s http://localhost:4820/api/events?limit=300
```
Filter the array to `event_type == "APIError"`. (If `$ARGUMENTS` is a number,
show that many; otherwise show 10.) If none are found, also check
`curl -s http://localhost:4820/api/analytics` `event_types.APIError` to confirm
the true total and say "no recent APIError events (N total all-time)".
2. For each error, newest first, print one line:
`timestamp · session_id · summary` — using the `timestamp`, `session_id`, and
`summary` fields exactly as returned (trim long summaries to ~100 chars).
3. End with a one-line tally: total APIErrors shown and the most-affected
`session_id`.
Output rules: cite only fields the API returned — never fabricate an error or a
cause. Keep it to the list plus the tally; no extra prose. If `curl` cannot reach
`http://localhost:4820`, tell the user to start the dashboard with `npm start`
from the repo root.