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Claude Sonnet 5.5 (effort max · thinking on) on Effort dial sweep on one well-specified feature

AClaude Sonnet 5.5max · thinking on · Claude Code 2.1.299 (headless -p) · cloud · 2026-10-17 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first try
Estimated cost
$3.09
Wall time
1.2h
Human step-ins
0
Outcome
Pass

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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-sonnet-5.5: $3.08812. 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
$3.09
Wall time
1.2h
Human step-ins
0
Turns
43
Model usage
ModelInput tokOutput tokCost
AClaude Sonnet 5.5anthropic/claude-sonnet-5.5effort max · thinking on4,475,482183,751$3.09

Reproduce this run

  1. Use the use case prompt on the use case page.
  2. Same setup: Claude Sonnet 5.5 (anthropic/claude-sonnet-5.5, effort max · thinking on) via Claude Code 2.1.299 (headless -p), cloud.
  3. It counts as a success only if it meets every success criterion: All provided acceptance tests pass; agent-written tests ≥ 8; no lint errors.
  4. 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.

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Automated checks

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Evidence log
[
 {
  "duration_api_ms": 1398301,
  "stop_reason": "end_turn",
  "session_id": "[REDACTED]",
  "total_cost_usd": 3.0881199000000006,
  "usage": {
   "input_tokens": 58,
   "cache_creation_input_tokens": 205885,
   "cache_read_input_tokens": 4269539,
   "output_tokens": 183751,
   "output_tokens_details": {
    "thinking_tokens": 148610
   },
   "server_tool_use": {
    "web_search_requests": 0,
    "web_fetch_requests": 0
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   "service_tier": "standard",
   "cache_creation": {
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   "inference_geo": "global",
   "iterations": [
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     "input_tokens": 2,
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      "ephemeral_5m_input_tokens": 0,
      "ephemeral_1h_input_tokens": 5132
     },
     "type": "message"
    }
   ],
   "speed": "standard",
   "fallback_credit": null
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  "modelUsage": {
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    "inputTokens": 58,
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    "cacheReadInputTokens": 4269539,
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    "webSearchRequests": 0,
    "costUSD": 3.0881199000000006,
    "contextWindow": 1000000,
    "maxOutputTokens": 128000,
    "thinkingTokens": 148610,
    "canonicalModel": "claude-sonnet-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,
   "requested": {
    "background": 0,
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   "started_in_background": 0,
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  "safety_stops": 0,
  "is_error": false,
  "num_turns": 43,
  "subtype": "success",
  "api_error_status": null,
  "result": "API-88 is done: `createRateLimiter` is in `src/middleware/rateLimit.js`, and `createApp({ rateLimit })` applies it to every `/notes` route but not `/health`. All 40 tests pass (the 4 existing plus 36 new) and `npm run lint` is clean. The changes are uncommitted in the working tree.\n\nI also ran the new tests five times, plus six runs under heavy CPU load, with no failures. I checked the wire format with `curl` against a real listening server. I also broke the implementation in 27 deliberate ways, and the suite now catches all of them.\n\n**How it works**\n- **Atomicity:** each check runs as one Lua script in Redis, so concurrent requests, including ones to different app instances, never get more than `capacity` tokens. In my tests, 60 concurrent requests against a capacity of 10 admitted exactly 10.\n- **Clock:** the script uses Redis `TIME`, not the app host's clock, so instances with skewed clocks agree on refill.\n- **TTL:** each key lives `capacity / refillPerSec`, the time an empty bucket takes to fill. An expired key and a full bucket are the same thing.\n- **Fail open:** this covers Redis errors, an unreachable server, a closed client and a server that never answers.\n\n**Decisions to review**\n- **`timeoutMs` option (my addition, default 500 ms):** I checked that an ioredis client with default settings hangs indefinitely when Redis is down or silent. A plain `try/catch` would have hung requests instead of letting them through, so the middleware has its own deadline. Even 4000 simultaneous requests against a healthy Redis never tripped it.\n- **Bad config throws at startup:** a missing `redis`, a non-integer `capacity` or a non-positive `refillPerSec` throws when the limiter is created. A `keyFn` that throws goes to the error handler (500) instead of failing open, since that's an app bug, not an outage.\n- **Float-noise bug found and fixed:** a naive `Retry-After` calculation reports 8 s instead of 7 s for a refill of 1/7 per second, because of floating-point noise. The script guards against this, and a test pins it.\n\n**Left for you**\n1. **`src/server.js` is unchanged, so the limiter is not active in production yet.** The ticket gives no production limits. Turning it on is one line: `createApp({ trustProxy: \u2026, rateLimit: { redis, capacity, refillPerSec } })`. Today it passes `{ redis }` at the top level, which `createApp` ignores. Set `trustProxy` if you're behind a proxy, or every client shares one bucket.\n2. **The limiter runs after `express.json()`.** A request with a malformed JSON body gets its 400 without using a token. Moving the limiter earlier would reorder the existing middleware, so the custom `middleware` option would stop seeing parsed bodies, and `keyFn` couldn't use identity those hooks set. I left the order alone and documented it in the README.\n3. **Test internals:** some tests write the `tokens` and `ts` hash fields directly to set up time-dependent cases without sleeping. They need updating if the storage layout ever changes. They also run `SCRIPT FLUSH` on the shared Redis, which clients recover from automatically.\n\nThe README has a new Rate limiting section covering the options, headers and these points.",
  "ttft_ms": 1422,
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  "uuid": "[REDACTED]",
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  "time_to_request_ms": 286,
  "first_content_frame_ms": 1327,
  "queued_turn_count": 0,
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 }
]

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