nntrivi2001
57dc91585d
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.
63 lines
2.5 KiB
Markdown
63 lines
2.5 KiB
Markdown
---
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description: >
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Roll up Claude Code sessions by working directory (project) from Agent Monitor
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data — session count, total cost, total tokens, and last-active timestamp per cwd
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— so per-project activity can be compared at a glance. Use when summarizing where
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effort and spend went across projects.
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---
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# CWD Rollup
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Aggregate session activity per working directory (project).
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## Input
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The user provides: **$ARGUMENTS**
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- Empty → roll up **all** working directories.
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- A path / project substring → restrict the rollup to matching cwds.
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- `top N` → keep only the N highest-cost (or highest-count) projects.
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## Data Sources
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| Endpoint | Returns |
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|----------|---------|
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| `GET /api/run/cwds` | the distinct working directories that have sessions — the rollup key set |
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| `GET /api/sessions?limit=N` | session list: id, status, model, cwd, started_at, ended_at, cost, metadata (usage_extras with token counts) |
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| `GET /api/pricing/cost` | fleet cost: total_cost, breakdown[{ model, input_tokens, output_tokens, cache_read_tokens, cache_write_tokens, cost, matched_rule }] — for the fleet total to compute each cwd's share |
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## Report Sections
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### 1. Key set
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`GET /api/run/cwds` for the canonical list of working directories. Apply the
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`$ARGUMENTS` filter (substring match) if one was given.
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### 2. Pull sessions
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`GET /api/sessions?limit=1000`. Bucket sessions by `cwd`.
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### 3. Aggregate per cwd
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For each working directory compute:
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- **sessions** — count.
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- **cost** — sum of the inline `cost` field across the bucket.
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- **tokens** — sum of input / output / cache-read / cache-write from each session's
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metadata `usage_extras` (sum the four into a total, and keep input + output as the
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"billable text" subtotal).
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- **last active** — the max `started_at` (or `ended_at`) in the bucket.
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- **models** — the distinct models seen.
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### 4. Share of fleet
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`GET /api/pricing/cost` for `total_cost`; show each cwd's cost as a percentage of the
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fleet total.
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### 5. Ranking
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Sort by cost descending by default (or count if the user asked); apply `top N`.
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## Output
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Markdown table: `project (cwd basename) | sessions | total tokens | cost | % of fleet | last active | models`.
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Currency as USD to 4 decimal places; token counts with thousands separators; sort
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cost-descending. Add a final TOTAL row summing the columns. Only count tokens that
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the session metadata actually carries — if `usage_extras` is absent for a session,
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note it as excluded rather than guessing. If the dashboard is unreachable, tell the
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user to start it with `npm start` from the repo root.
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