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: Compare two sessions side-by-side with cost and workflow deltas
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argument-hint: "[sessionA] [sessionB]"
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---
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Compare the two sessions in **$ARGUMENTS** (first id = Session A, second id = Session B) side-by-side using the Agent Monitor dashboard. If fewer than two ids are given, ask for both.
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1. Fetch cost for each, in parallel:
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- `curl -s http://localhost:4820/api/pricing/cost/<sessionA>`
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- `curl -s http://localhost:4820/api/pricing/cost/<sessionB>`
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Each returns `{ total_cost, breakdown:[{ model, input_tokens, output_tokens, cache_read_tokens, cache_write_tokens, cost, matched_rule }] }`.
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2. Fetch workflow intelligence for each:
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- `curl -s http://localhost:4820/api/workflows/<sessionA>`
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- `curl -s http://localhost:4820/api/workflows/<sessionB>`
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Use `stats` (tool/event/agent counts), `complexity` (score), `effectiveness` (subagent success), `compaction` (impact), and `errorPropagation`.
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3. Print a side-by-side comparison table with a delta column (B − A):
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- Total cost (USD, 4 decimals) and Δ% .
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- Tokens: input, output, cache_read, cache_write (sum the breakdown per session).
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- Cache hit rate = `cache_read / (cache_read + input)`.
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- Tool count, event count, agent count (from `stats`).
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- Complexity score (from `complexity`).
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- Subagent success rate (from `effectiveness`) and compaction count (from `compaction`).
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Output rules: one row per metric with columns Session A | Session B | Δ; use ▲ when B is higher and ▼ when lower; currency in USD to 4 decimals; rates as percentages to 2 decimals. End with a one-line verdict on which session was cheaper/leaner and the main driver. Cite only fields the API returned — never fabricate. If a session id is unknown or the dashboard is unreachable at `http://localhost:4820`, say so and tell the user to start it with `npm start` from the repo root.
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