Claude Opus 5.5 (effort max · thinking on) on Effort dial sweep on one well-specified feature
AClaude Opus 5.5max · thinking on · Claude Code 2.1.299 (headless -p) · cloud · 2026-10-16 · by @bobsiopener
- Estimated cost
- $4.83
- Wall time
- 1.7h
- Human step-ins
- 0
- Outcome
- Pass
Compare with other models on this task →
Summary
Exact prompt
You are working in the notes-api repository (Express 4, Node 20, node:test + supertest, ESLint). A Redis server is running for you at the URL in the REDIS_URL environment variable (db 0 is scratch space you may flush). Ticket API-88: Add a rate-limiter middleware. Create src/middleware/rateLimit.js exporting createRateLimiter(options) that returns Express middleware implementing a per-key token bucket stored in Redis, so that several app instances sharing one Redis share the same limits. Options: - redis: an ioredis client (required) - capacity: bucket size (max burst), integer - refillPerSec: tokens added per second (may be fractional) - keyFn(req): returns the bucket key; default is req.ip - prefix: Redis key prefix, default 'rl:' Behaviour: - Each request consumes one token. If a token is available, call next() and set X-RateLimit-Limit (capacity) and X-RateLimit-Remaining (tokens left, integer, after this request). - If the bucket is empty, respond 429 with JSON {"error":"rate_limited"}, a Retry-After header (whole seconds, rounded up, at least 1) and X-RateLimit-Remaining: 0. Do not call next(). - The check-and-consume must be atomic under concurrent requests, including across app instances. - Bucket keys must not live forever in Redis: give them a TTL. - If Redis fails (error or unavailable), fail open: let the request through and do not crash. Wire it into the app so that createApp({ rateLimit: { redis, capacity, refillPerSec, ... } }) applies the limiter to all /notes routes (not /health). Add thorough tests (at least 8), keep the existing tests passing, and make sure `npm run lint` is clean.
The same feature ticket, a Redis-backed token-bucket rate limiter for an Express API, run at a range of reasoning-effort levels on models of different sizes. Nine hidden acceptance tests check burst limits, refill, atomicity under concurrency, sharing across app instances, key TTLs and fail-open behaviour, alongside lint and the agent's own tests. It shows what extra effort buys in tokens, cost and quality. Original benchmark task written for usecaserank.com (not based on a specific public post). Headless, offline run on a reproducible fixture. Each run's notes say how its cost was measured (estimates are marked).
Success criteria: All provided acceptance tests pass; agent-written tests ≥ 8; no lint errors.
Setup notes: Synthetic Express 4 notes API (batch2/p02/repo) with a local redis-server 7 on the box. Same prompt for every run; only --model/--effort differ. Scored with 9 hidden acceptance tests (batch2/p02/hidden/acceptance.test.js, run after the agent finished), the agent's own test count (test()/it() calls outside the original notes tests), npm test and eslint. Tools: Read/Write/Edit/Glob/Grep/Bash, web disabled. Claude Code's own reported cost for claude-opus-5.5: $4.832427. Score: 9/9 acceptance. Cost is an ESTIMATE: measured tokens x pricing.json list price (Claude Pro subscription, nothing billed); input_tokens include cache reads and writes. Single run. Comparison on this use case: the same ticket at every Claude Code effort level (low, medium, high, xhigh, max) for Opus 5.5 and Sonnet 5.5, plus Haiku 5.5 at the default effort.
Estimated cost List-price estimate; not actually billed.
Metrics
- Estimated cost
- $4.83
- Wall time
- 1.7h
- Human step-ins
- 0
- Turns
- 39
| Model | Input tok | Output tok | Cost |
|---|---|---|---|
| AClaude Opus 5.5anthropic/claude-opus-5.5effort max · thinking on | 2,904,325 | 126,051 | $4.83 |
Reproduce this run
- Use the use case prompt on the use case page.
- Same setup: Claude Opus 5.5 (anthropic/claude-opus-5.5, effort max · thinking on) via
Claude Code 2.1.299 (headless -p), cloud. - It counts as a success only if it meets every success criterion: All provided acceptance tests pass; agent-written tests ≥ 8; no lint errors.
- Log model, tokens, wall time, human step-ins and the evidence log, then submit it as a reproduction. A different model? Submit a head-to-head rerun.
How runs are scored: Methodology.
Was this useful?
Automated checks
Trust 80% comes from these checks (how Trust % works).
- Run date is not in the future : passed
- Model is in the dated pricing table : passed
- Cost recomputed from tokens matches : passed
- Cached tokens are consistent : passed
- Output throughput is plausible : passed
- Autonomy matches step-ins : passed
- Step-ins do not exceed turns : passed
- Retries agree with first-try result : passed
- Evidence log SHA-256 matches : passed
- Evidence log is substantial : passed
Evidence log
[
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"session_id": "[REDACTED]",
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"cache_read_input_tokens": 2682433,
"output_tokens": 126051,
"output_tokens_details": {
"thinking_tokens": 105463
},
"server_tool_use": {
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},
"service_tier": "standard",
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"inference_geo": "global",
"iterations": [
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"cache_creation": {
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},
"type": "message"
}
],
"speed": "standard",
"fallback_credit": null
},
"modelUsage": {
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"outputTokens": 126051,
"cacheReadInputTokens": 2682433,
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"webSearchRequests": 0,
"costUSD": 4.832426599999999,
"contextWindow": 1000000,
"maxOutputTokens": 128000,
"thinkingTokens": 105463,
"canonicalModel": "claude-opus-5-5",
"provider": "firstParty",
"costBasis": "list"
}
},
"permission_denials": [],
"terminal_reason": "completed",
"fast_mode_state": "off",
"fast_mode_disabled_reason": "sdk_opt_in_required",
"subagent_stats": {
"spawned": 0,
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"subtype": "success",
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"result": "I've built the rate limiter for API-88 and wired it into `createApp`. All 20 tests pass (the 4 existing plus 16 new) and `npm run lint` is clean. Nothing is committed yet; the changes are in the working tree on `master`.\n\n**What changed**\n- **`src/middleware/rateLimit.js`** (new): `createRateLimiter(options)`. A single Lua script refills the bucket, checks it and takes a token in one atomic step, so concurrent requests and separate app instances can't both get the same token.\n- **`src/app.js`**: when `rateLimit` is passed, the limiter is applied to `/notes` only. `/health` is never limited. A rate-limited request never reaches the route, so a 429'd `POST` doesn't create a note.\n- **`test/rateLimit.test.js`** (new): 16 tests against the real Redis. They cover bursts and 429s, `Retry-After` rounding, refill, the capacity limit, concurrency within one app and across two, per-key buckets, defaults, key expiry, four kinds of Redis failure, the app wiring, and option checks. Every key goes under a per-run prefix and is deleted afterwards.\n- **`README.md`**: documents the options and behaviour. The old \"nothing uses Redis yet\" line is gone.\n\n**Decisions beyond the ticket**\n- **Added a `timeoutMs` option (default 500 ms).** With the default ioredis settings that `server.js` uses, I measured a command against a dead Redis taking about 10.5 seconds to fail. Without a timeout, \"fail open\" would mean every `/notes` request hangs for 10 seconds during an outage. With it, requests go through after the timeout and each failure is logged.\n- **Time comes from Redis's own clock**, so app instances whose clocks disagree still enforce the same limits.\n- **Keys expire when the bucket would be full again.** At that point a missing key means the same thing as a full bucket, so nothing is lost.\n- **Invalid options throw at startup.** For example, `refillPerSec: 0` would otherwise make the limiter fail open on every request and silently do nothing.\n- **An error thrown by `keyFn` returns a 500** rather than letting the request through. Otherwise a `keyFn` like `req => req.user.id` would let unauthenticated requests skip the limit.\n- `X-RateLimit-Limit` is also sent on 429 responses.\n\n**How I checked it**\n- **Planted bugs:** I put 11 realistic bugs into a scratch copy, such as reading and writing the bucket in two steps, no expiry and no timeout. The tests caught all of them after I added one test for lowering the capacity.\n- **Flakiness:** the suite passed 6 times in a row normally and 4 times with the CPU overloaded.\n- **Real processes:** two separate server processes sharing Redis allowed exactly 10 of 30 concurrent requests. A process pointed at a dead Redis kept serving in about 200 ms and didn't crash.\n\n**Before turning it on**\n- **`src/server.js` doesn't enable it yet.** The actual limits are a product decision, so I didn't pick numbers.\n- **Behind a proxy or load balancer, set `trustProxy`.** Otherwise `req.ip` is the proxy's address and all clients share one bucket.\n- **During a Redis outage, every request logs a line.** That's noisy at high traffic, so you may want to throttle it later.\n- **Tests:**\n - **Redis is required.** `npm test` now needs a Redis at `REDIS_URL` and fails rather than skipping when there isn't one.\n - **One test pauses Redis.** It pauses writes on the whole Redis server for 300 ms to simulate a slow Redis, so point tests at a scratch instance.",
"ttft_ms": 1032,
"type": "result",
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"uuid": "[REDACTED]",
"ttft_stream_ms": 887,
"time_to_request_ms": 228,
"first_content_frame_ms": 887,
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]