|
|
@@ -0,0 +1,133 @@
|
|
|
+#!/usr/bin/env node
|
|
|
+// Cost/token analysis for the 3-arm offload eval, with a MAIN-vs-SUBAGENT split.
|
|
|
+//
|
|
|
+// The explore-subagent question. With delegation ALLOWED, the nocg arm spawns a
|
|
|
+// Claude Code Explore subagent; the codegraph arms do all work in the main agent.
|
|
|
+// Two facts make naive accounting wrong:
|
|
|
+// 1. The Explore subagent runs on HAIKU 4.5; the main agent on SONNET 4.6.
|
|
|
+// So per-token cost differs ~3x between them — you cannot price both the same.
|
|
|
+// 2. The subagent's consumption is ~95% cache-reads. At Haiku's $0.10/MTok
|
|
|
+// cache-read rate, a huge TOKEN volume is a small DOLLAR cost.
|
|
|
+//
|
|
|
+// Rather than re-derive cost from raw token counts (and guess the cache TTL —
|
|
|
+// Claude Code uses 1-hour ephemeral cache here, 2x write, not 5-min), we read
|
|
|
+// Claude Code's OWN authoritative accounting from the `result` event:
|
|
|
+// result.modelUsage[model].costUSD — per-model cost CC itself billed
|
|
|
+// result.total_cost_usd — their sum (INCLUDES the Haiku subagent;
|
|
|
+// the handoff's "excludes subagent" was wrong)
|
|
|
+// The model split IS the agent split here: sonnet => main, haiku => Explore subagent
|
|
|
+// (only nocg spawns one, and only nocg shows haiku usage). Token volume is still
|
|
|
+// summed per-model from modelUsage for the separate "tokens" story.
|
|
|
+//
|
|
|
+// Usage: offload-eval-cost.mjs <runs-dir> <repo> [reps]
|
|
|
+// e.g. offload-eval-cost.mjs /tmp/cg-offload-eval/runs trezor 3
|
|
|
+import { readFileSync, existsSync } from 'fs';
|
|
|
+
|
|
|
+const MAIN_TIER = /sonnet/; // main agent
|
|
|
+const SUB_TIER = /haiku/; // Claude Code Explore subagent
|
|
|
+
|
|
|
+const [,, runsDir, repo, repsArg] = process.argv;
|
|
|
+if (!runsDir || !repo) { console.error('usage: offload-eval-cost.mjs <runs-dir> <repo> [reps] (env ARMS=nocg,raw,offload)'); process.exit(1); }
|
|
|
+const REPS = Number(repsArg || 3);
|
|
|
+// Arms to analyze (file stems `<repo>-<arm>-<rep>.jsonl`). Override for the style A/B:
|
|
|
+// ARMS=raw,refs,map,src. nocg's Haiku subagent is the only sub-tier; the rest are main-only.
|
|
|
+const ARMS = (process.env.ARMS || 'nocg,raw,offload').split(',').map((s) => s.trim()).filter(Boolean);
|
|
|
+
|
|
|
+const toks = (u) => (u.inputTokens||0)+(u.outputTokens||0)+(u.cacheReadInputTokens||0)+(u.cacheCreationInputTokens||0);
|
|
|
+
|
|
|
+function analyzeRun(file) {
|
|
|
+ let result = null, agentCalls = 0;
|
|
|
+ const tools = {}, subPids = new Set();
|
|
|
+ for (const line of readFileSync(file, 'utf8').split('\n')) {
|
|
|
+ if (!line) continue;
|
|
|
+ let e; try { e = JSON.parse(line); } catch { continue; }
|
|
|
+ if (e.parent_tool_use_id && e.message?.usage) subPids.add(e.parent_tool_use_id);
|
|
|
+ if (e.type === 'assistant' && Array.isArray(e.message?.content))
|
|
|
+ for (const b of e.message.content)
|
|
|
+ if (b.type === 'tool_use') { tools[b.name] = (tools[b.name]||0)+1; if (b.name === 'Agent') agentCalls++; }
|
|
|
+ if (e.type === 'result') result = e;
|
|
|
+ }
|
|
|
+ // Authoritative cost + tokens from Claude Code's per-model accounting.
|
|
|
+ const mu = result?.modelUsage || {};
|
|
|
+ const main = { cost: 0, tok: 0 }, sub = { cost: 0, tok: 0 };
|
|
|
+ for (const [model, u] of Object.entries(mu)) {
|
|
|
+ const bucket = SUB_TIER.test(model) ? sub : main; // sonnet/anything-else => main
|
|
|
+ bucket.cost += u.costUSD || 0;
|
|
|
+ bucket.tok += toks(u);
|
|
|
+ }
|
|
|
+ return {
|
|
|
+ main, sub, subagents: subPids.size, agentCalls,
|
|
|
+ ccTotal: result?.total_cost_usd ?? null,
|
|
|
+ ok: result?.subtype === 'success',
|
|
|
+ durationSec: result?.duration_ms ? +(result.duration_ms/1000).toFixed(1) : null,
|
|
|
+ models: Object.keys(mu), tools,
|
|
|
+ };
|
|
|
+}
|
|
|
+
|
|
|
+const k = (n) => (n/1000).toFixed(0).padStart(5) + 'K';
|
|
|
+const d = (n) => '$' + n.toFixed(3);
|
|
|
+const cost = (b) => b.cost;
|
|
|
+const tot = (b) => b.tok;
|
|
|
+
|
|
|
+const byArm = {};
|
|
|
+for (const arm of ARMS) {
|
|
|
+ const runs = [];
|
|
|
+ for (let r = 1; r <= REPS; r++) {
|
|
|
+ const f = `${runsDir}/${repo}-${arm}-${r}.jsonl`;
|
|
|
+ if (existsSync(f)) runs.push({ rep: r, ...analyzeRun(f) });
|
|
|
+ }
|
|
|
+ byArm[arm] = runs;
|
|
|
+}
|
|
|
+
|
|
|
+// Per-run detail. Cost is Claude Code's own modelUsage.costUSD (authoritative,
|
|
|
+// per-model pricing + correct cache TTL). MAIN=Sonnet, SUB=Haiku Explore subagent.
|
|
|
+// cc-check: main$+sub$ must equal result.total_cost_usd (delta should be ~0).
|
|
|
+console.log(`\n=== ${repo}: per-run main(Sonnet)/sub(Haiku) split — Claude Code's own cost accounting ===`);
|
|
|
+console.log('arm rep | subAg | MAIN(sonnet) tok / $ | SUB(haiku) tok / $ | TOTAL tok / $ | cc_total Δ | dur reads');
|
|
|
+for (const arm of ARMS) for (const r of byArm[arm]) {
|
|
|
+ const mC = cost(r.main), sC = cost(r.sub), mT = tot(r.main), sT = tot(r.sub);
|
|
|
+ const reads = r.tools['Read'] || 0, grep = (r.tools['Grep']||0)+(r.tools['Bash']||0)+(r.tools['Glob']||0);
|
|
|
+ const explore = r.tools['mcp__codegraph__codegraph_explore'] || 0;
|
|
|
+ const delta = (mC + sC) - (r.ccTotal || 0); // should be ~0
|
|
|
+ console.log(
|
|
|
+ `${arm.padEnd(8)} #${r.rep} | ${String(r.subagents).padStart(2)} | ${k(mT)} ${d(mC).padStart(7)} | ${k(sT)} ${d(sC).padStart(7)} | ${k(mT+sT)} ${d(mC+sC).padStart(7)} | ${d(r.ccTotal||0).padStart(7)} ${(delta>=0?'+':'')+delta.toFixed(4)} | ${String(r.durationSec).padStart(5)} r=${reads} g=${grep} x=${explore}`
|
|
|
+ );
|
|
|
+}
|
|
|
+
|
|
|
+// Per-arm means
|
|
|
+const mean = (arr, f) => arr.length ? arr.reduce((s,x)=>s+f(x),0)/arr.length : 0;
|
|
|
+console.log(`\n=== ${repo}: per-arm MEANS (n per arm) ===`);
|
|
|
+console.log('arm n | main $ sub $ TOTAL $ | main tok sub tok TOTAL tok | %$ in sub | %tok in sub');
|
|
|
+for (const arm of ARMS) {
|
|
|
+ const runs = byArm[arm]; if (!runs.length) continue;
|
|
|
+ const mC = mean(runs, r=>cost(r.main)), sC = mean(runs, r=>cost(r.sub));
|
|
|
+ const mT = mean(runs, r=>tot(r.main)), sT = mean(runs, r=>tot(r.sub));
|
|
|
+ const pctSubC = (mC+sC) ? (100*sC/(mC+sC)) : 0;
|
|
|
+ const pctSubT = (mT+sT) ? (100*sT/(mT+sT)) : 0;
|
|
|
+ console.log(
|
|
|
+ `${arm.padEnd(8)} ${runs.length} | ${d(mC).padStart(7)} ${d(sC).padStart(7)} ${d(mC+sC).padStart(7)} | ${k(mT)} ${k(sT)} ${k(mT+sT)} | ${pctSubC.toFixed(0).padStart(3)}% | ${pctSubT.toFixed(0).padStart(3)}%`
|
|
|
+ );
|
|
|
+}
|
|
|
+
|
|
|
+// Headline ladders — cost, tokens, duration, all vs a baseline (nocg if present, else first arm).
|
|
|
+console.log(`\n=== Ladders (mean, incl. subagent) ===`);
|
|
|
+const totals = ARMS.map(a => ({ a, c: mean(byArm[a], r=>cost(r.main)+cost(r.sub)), t: mean(byArm[a], r=>tot(r.main)+tot(r.sub)) })).filter(x=>byArm[x.a].length);
|
|
|
+const base = totals.find(x=>x.a==='nocg') ?? totals[0];
|
|
|
+const bn = base?.a ?? '?';
|
|
|
+console.log(` COST (vs ${bn}):`);
|
|
|
+for (const x of totals) {
|
|
|
+ const vs = base && base.c ? ` (${((x.c/base.c-1)*100>=0?'+':'')}${((x.c/base.c-1)*100).toFixed(0)}%)` : '';
|
|
|
+ console.log(` ${x.a.padEnd(8)} ${d(x.c)}${vs}`);
|
|
|
+}
|
|
|
+console.log(` TOKENS (vs ${bn}):`);
|
|
|
+for (const x of totals) {
|
|
|
+ const vs = base && base.t ? ` (${((x.t/base.t-1)*100>=0?'+':'')}${((x.t/base.t-1)*100).toFixed(0)}%)` : '';
|
|
|
+ console.log(` ${x.a.padEnd(8)} ${k(x.t)}${vs}`);
|
|
|
+}
|
|
|
+console.log(` DURATION (wall-clock, vs ${bn}):`);
|
|
|
+const durs = ARMS.map(a => ({ a, s: mean(byArm[a].filter(r=>r.durationSec!=null), r=>r.durationSec) })).filter(x=>byArm[x.a].length);
|
|
|
+const dbase = durs.find(x=>x.a==='nocg') ?? durs[0];
|
|
|
+for (const x of durs) {
|
|
|
+ const vs = dbase && dbase.s ? ` (${((x.s/dbase.s-1)*100>=0?'+':'')}${((x.s/dbase.s-1)*100).toFixed(0)}%)` : '';
|
|
|
+ console.log(` ${x.a.padEnd(8)} ${x.s.toFixed(0)}s${vs}`);
|
|
|
+}
|
Colby McHenry