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name: cwd-rollup description: > Roll up Claude Code sessions by working directory (project) from Agent Monitor data — session count, total cost, total tokens, and last-active timestamp per cwd — so per-project activity can be compared at a glance. Use when summarizing where effort and spend went across projects.

CWD Rollup

Aggregate session activity per working directory (project).

Input

The user provides: $ARGUMENTS

• Empty → roll up all working directories.
• A path / project substring → restrict the rollup to matching cwds.
• top N → keep only the N highest-cost (or highest-count) projects.

Data Sources

| Endpoint | Returns | |----------|---------| | GET /api/run/cwds | the distinct working directories that have sessions — the rollup key set | | GET /api/sessions?limit=N | session list: id, status, model, cwd, started_at, ended_at, cost, metadata (usage_extras with token counts) | | GET /api/pricing/cost | fleet cost: total_cost, breakdown[{ model, input_tokens, output_tokens, cache_read_tokens, cache_write_tokens, cost, matched_rule }] — for the fleet total to compute each cwd's share |

Report Sections

1. Key set

GET /api/run/cwds for the canonical list of working directories. Apply the $ARGUMENTS filter (substring match) if one was given.

2. Pull sessions

GET /api/sessions?limit=1000. Bucket sessions by cwd.

3. Aggregate per cwd

For each working directory compute:

• sessions — count.
• cost — sum of the inline cost field across the bucket.
• tokens — sum of input / output / cache-read / cache-write from each session's metadata usage_extras (sum the four into a total, and keep input + output as the "billable text" subtotal).
• last active — the max started_at (or ended_at) in the bucket.
• models — the distinct models seen.

4. Share of fleet

GET /api/pricing/cost for total_cost; show each cwd's cost as a percentage of the fleet total.

5. Ranking

Sort by cost descending by default (or count if the user asked); apply top N.

Output

Markdown table: project (cwd basename) | sessions | total tokens | cost | % of fleet | last active | models. Currency as USD to 4 decimal places; token counts with thousands separators; sort cost-descending. Add a final TOTAL row summing the columns. Only count tokens that the session metadata actually carries — if usage_extras is absent for a session, note it as excluded rather than guessing. If the dashboard is unreachable, tell the user to start it with npm start from the repo root.