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