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.
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---
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description: List the most recent APIError events with their session and a summary
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argument-hint: "[N]"
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---
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List the most recent Claude Code errors from the Agent Monitor dashboard at
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`http://localhost:4820`. `$ARGUMENTS` is the number of errors to show (default 10).
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1. Pull recent events and keep only API errors:
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```bash
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curl -s http://localhost:4820/api/events?limit=300
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```
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Filter the array to `event_type == "APIError"`. (If `$ARGUMENTS` is a number,
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show that many; otherwise show 10.) If none are found, also check
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`curl -s http://localhost:4820/api/analytics` `event_types.APIError` to confirm
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the true total and say "no recent APIError events (N total all-time)".
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2. For each error, newest first, print one line:
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`timestamp · session_id · summary` — using the `timestamp`, `session_id`, and
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`summary` fields exactly as returned (trim long summaries to ~100 chars).
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3. End with a one-line tally: total APIErrors shown and the most-affected
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`session_id`.
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Output rules: cite only fields the API returned — never fabricate an error or a
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cause. Keep it to the list plus the tally; no extra prose. If `curl` cannot reach
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`http://localhost:4820`, tell the user to start the dashboard with `npm start`
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from the repo root.
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---
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description: One-line reliability verdict (OK / DEGRADED / FAILING) for Claude Code usage
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---
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Print a single reliability verdict for Claude Code usage from the Agent Monitor
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dashboard at `http://localhost:4820`. No arguments.
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1. Fetch state:
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```bash
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curl -s http://localhost:4820/api/stats
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curl -s http://localhost:4820/api/analytics
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```
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From `stats`: `total_events`, `events_today`, `sessions_by_status`. From
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`analytics`: `event_types` (PreToolUse, PostToolUse, APIError).
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2. Derive two reliability signals:
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- **Error rate** = `APIError / total_events` (percentage, 2 decimals).
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- **Tool-failure rate** = `(PreToolUse − PostToolUse) / PreToolUse` (percentage).
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3. Pick the verdict from the worse of the two signals:
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- **OK** — error rate ≤ 1% and tool-failure rate ≤ 1%.
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- **DEGRADED** — either is in 1–5%.
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- **FAILING** — either exceeds 5%.
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4. Print exactly one line:
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`Reliability: <OK|DEGRADED|FAILING> — errors X.XX%, tool failures Y.YY% (N events)`
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Prefix with ✅ (OK), ⚠️ (DEGRADED), or ❌ (FAILING).
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Output rules: cite only fields the API returned — never fabricate. One line only;
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no extra prose. If `curl` cannot reach `http://localhost:4820`, print
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`Reliability: UNKNOWN — dashboard unreachable; start it with \`npm start\` from the repo root.`
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---
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description: Print a quick SLO snapshot — completion rate, tool success rate, and error rate
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---
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Print a compact SLO snapshot for Claude Code usage from the Agent Monitor
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dashboard at `http://localhost:4820`. No arguments.
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1. Fetch the raw counts:
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```bash
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curl -s http://localhost:4820/api/analytics
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curl -s http://localhost:4820/api/stats
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```
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From `analytics`: `event_types` (PreToolUse, PostToolUse, APIError) and
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`sessions_by_status`. From `stats`: `total_events`, `total_sessions`.
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2. Compute three SLIs:
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- **Completion rate** = completed sessions / total sessions (from
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`sessions_by_status`; exclude still-`active`/`running` sessions from the
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denominator).
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- **Tool success rate** = `PostToolUse / PreToolUse` (cap at 100%).
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- **Error rate** = `APIError / total_events`.
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3. Compare each to its default target (completion ≥ 95%, tool success ≥ 99%,
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error ≤ 1%) and print one line per SLI:
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`SLI .......... observed% (target X%) ✅ MET | ❌ BREACHED`
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Output rules: rates as percentages to 2 decimals; cite only fields the API
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returned — never fabricate. End with one verdict line (e.g.,
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`SLOs: 3/3 met` or `SLOs: error rate BREACHED`). Keep it to the snapshot only; no
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extra prose. If `curl` cannot reach `http://localhost:4820`, tell the user to
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start the dashboard with `npm start` from the repo root.
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