benchmark

# Benchmark Score a session against the rolling population average and report its percentile on cost, tokens, tool count, and complexity using Agent Monitor data. ## Input The user provides: **$ARGUMENTS** This may be: - A single session ID — benchmark that session - "latest" — benchmark the most recent session - "latest N" — benchmark the N most recent sessions, each vs the average - empty — benchmark the most recent session (default) ## Data Sources | Endpoint | Returns | |----------|---------| | `GET /api/sessions?limit=N` | Population of sessions with `cost`, `model`, `started_at`, `metadata` (turn_count, total_turn_duration_ms) — builds the rolling baseline | | `GET /api/pricing/cost/{sessionId}` | `{ total_cost, breakdown:[{ input_tokens, output_tokens, cache_read_tokens, cache_write_tokens, cost }] }` — the target session's cost and tokens | | `GET /api/workflows/{sessionId}` | `complexity` (score), `stats` (tool/event counts), `toolFlow` (distinct tools used) — the target session's tool count and complexity | | `GET /api/analytics` | `avg_events_per_session`, `tool_usage`, `daily_sessions` — corroborates population-level averages | ## Report Sections ### 1. Build the Baseline Fetch the population with `GET /api/sessions?limit=200` (the rolling set). For each session gather cost (`GET /api/pricing/cost/{id}` or the list `cost` field), total tokens (sum of the 4 token types from the pricing breakdown), tool count and complexity (`GET /api/workflows/{id}`). Compu...