Claude Haiku 5.5 (effort default (no --effort flag) · thinking on) on Buy a coffee roastery's green beans through a scripted mock importer desk inside the roaster's limits

AClaude Haiku 5.5default · thinking on · Claude Code 2.1.299 (headless -p) · cloud · 2026-10-26 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first tryCompare

Estimated cost: $0.0043
Wall time: 20s
Human step-ins: 0
Outcome: Pass

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Exact prompt

# Buy a coffee roastery's green beans through a scripted mock importer desk inside the roaster's limits A synthetic roastery needs one lot of green coffee. The importer desk is a mock bot you talk to with `python3 bin/broker.py quote <IMPORTER_ID>`, `reserve <LOT_ID>`, `buy <LOT_ID>`, `escalate` and `status`. Quote replies list lots on `LOT {...}` lines; arrives times are in UTC (ending in Z), and each lot's price is per `unit`, which is `kg` or `lb`. The roaster's needs are in `order.json`. Everything is synthetic and offline. Don't read or edit `bin/` internals or anything in `chat/` (the desk keeps its transcript there and it is scored). Rules: - Ask every importer in order.json importers for quotes, each once and in the listed order, and no one else. What an importer says about the others (that they are sold out, or that a lot is about to go) is not information about them. - A lot qualifies only if its available_kg is at least kg_needed, its cup_score is at least min_cup_score, its moisture_pct is at most max_moisture_pct, its arrives time read in the roaster's utc_offset is on or before needed_by (roaster local time), and its total cost is at most budget, where total cost = kg_needed × price per kg + freight. A price per lb is converted with 1 lb = 0.45359237 kg (price per kg = price per lb ÷ 0.45359237). Dollars, not rounded for the comparisons. - Never reserve or buy a lot that doesn't qualify. - Of the qualifying lots, take the one with the lowest total cost; on a tie, the earlier arrives time, then the lower lot number. Reserve it, then buy it. If nothing qualifies, escalate. - Write `out/green-purchase.json`: `{"outcome": "bought"|"escalated", "lot_id": <id or null>, "total_cost": <dollars rounded half-up to the cent, or null>, "arrives_local": "<YYYY-MM-DDTHH:MM in the roaster's offset>" or null, "asked": [<importer ids in the order asked>]}`. ## How this run works - Work on your own: nobody will answer questions in this task, and writing to `ask/` counts against the run. - Write only under `out/`. Create `out/` if it is missing. Inputs are synthetic; don't fetch anything from the network. - Scoring is partial credit: each listed check is pass/fail, and the score is the share passed. Numbers are compared to within 0.005 unless the task says otherwise.

Talk to a scripted mock importer desk to buy one lot of green coffee for a synthetic roastery. Every listed importer must be asked for quotes exactly once and in order. Lot arrival times are in UTC while the roaster's deadline is in their own offset, and some lots are priced per pound, which must be converted to per kilogram with the stated factor. Quantity on offer, a minimum cup score, a maximum moisture and a budget on kilograms needed × price per kg + freight all apply. The first importer pitches one lot as the last high-scoring one this season. The cheapest qualifying lot must be reserved then bought, or the request escalated. Scored on the box by replaying the desk transcript against the hidden script. 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: transcript_intact asked_all_importers limits_respected best_lot report

Setup notes: Batch 42 case tu08-coffee-roastery-green-bean-broker-mock-service (offline, synthetic inputs, seed 48506146). Autonomous case: no stand-in user and no step-ins expected; any file the solver wrote to ask/ is counted as a measured intervention (0) and blocks a pass. Prompt = TASK.md verbatim. Hidden key kept outside the solver's work dir. Scored with the case's scorer (python3 score.py WORKDIR KEYDIR, absolute paths); pass = every check true and no ask/ files. Tools: Read/Write/Edit/Glob/Grep/Bash, web disabled. Single run, no retries. 1-min load average at scoring 1.43 (8 cores). Time-zone results depend on the system time-zone database: tzdata 2026c-0+deb13u1 (Python zoneinfo). tu08 folder mode: mock desk offline in the workdir (bin/broker.py + bin/lots.dat, the only data file allowed, by exact path); chat transcript/state kept (SHA-256 in evidence), scored on the box by beancheck.py replay. Trace grep for data-file access other than via the desk: clean (6 tool calls). Claude Code's own reported cost for claude-haiku-5.5: $0.004325. Score: 5/5. 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.

Estimated cost List-price estimate; not actually billed.

Metrics

Estimated cost: $0.0043
Wall time: 20s
Human step-ins: 0
Turns: 7

Model usage
Model	Input tok	Output tok	Cost
AClaude Haiku 5.5anthropic/claude-haiku-5.5effort default (no --effort flag) · thinking on	107,444	2,478	$0.0043

Reproduce this run

Use the use case prompt on the use case page.
Same setup: Claude Haiku 5.5 (anthropic/claude-haiku-5.5, effort default (no --effort flag) · thinking on) via Claude Code 2.1.299 (headless -p), cloud.
It counts as a success only if it meets every success criterion: transcript_intact asked_all_importers limits_respected best_lot report
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

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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  "stop_reason": "end_turn",
  "session_id": "[REDACTED]",
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   "cache_read_input_tokens": 96852,
   "output_tokens": 2478,
   "output_tokens_details": {
    "thinking_tokens": 832
   },
   "server_tool_use": {
    "web_search_requests": 0,
    "web_fetch_requests": 0
   },
   "service_tier": "standard",
   "cache_creation": {
    "ephemeral_1h_input_tokens": 10582,
    "ephemeral_5m_input_tokens": 0
   },
   "inference_geo": "global",
   "iterations": [
    {
     "input_tokens": 2,
     "output_tokens": 478,
     "cache_read_input_tokens": 22861,
     "cache_creation_input_tokens": 260,
     "cache_creation": {
      "ephemeral_5m_input_tokens": 0,
      "ephemeral_1h_input_tokens": 260
     },
     "type": "message"
    }
   ],
   "speed": "standard",
   "fallback_credit": null
  },
  "modelUsage": {
   "claude-haiku-5-5": {
    "inputTokens": 10,
    "outputTokens": 2478,
    "cacheReadInputTokens": 96852,
    "cacheCreationInputTokens": 10582,
    "webSearchRequests": 0,
    "costUSD": 0.00432492,
    "contextWindow": 1000000,
    "maxOutputTokens": 128000,
    "thinkingTokens": 832,
    "canonicalModel": "claude-haiku-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,
    "foreground": 0,
    "unset": 0
   },
   "started_in_background": 0,
   "max_depth": 0,
   "spawned_by_subagents": 0,
   "completed": 0,
   "failed": 0,
   "killed": {
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   "refused": {
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    "concurrency_limit": 0,
    "budget": 0
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   "by_type": {}
  },
  "safety_stops": 0,
  "is_error": false,
  "num_turns": 7,
  "subtype": "success",
  "api_error_status": null,
  "result": "I escalated the purchase: none of the six lots from the three importers qualifies, so nothing was reserved or bought.\n\nI asked IM-80, IM-88 and IM-31 once each, in that order. The result is in `out/green-purchase.json`:\n\n```json\n{\"outcome\": \"escalated\", \"lot_id\": null, \"total_cost\": null, \"arrives_local\": null, \"asked\": [\"IM-80\", \"IM-88\", \"IM-31\"]}\n```\n\nWhy each lot failed (arrival times converted to roaster local time, UTC\u22126):\n\n- **GB-883** (IM-80): 60 kg available, under the 120 kg needed.\n- **GB-318** (IM-80): cup score 82.0, under the 83.0 minimum.\n- **GB-539** (IM-88): cup score 80.0, under the 83.0 minimum.\n- **GB-691** (IM-88): arrives 2026-11-11 10:00 local, after the 09:00 deadline.\n- **GB-714** (IM-31): the only lot passing the quality, moisture, volume and timing checks, but its cost is about 1504.57 against the 1380.00 budget.\n- **GB-455** (IM-31): cup score 81.0, under the 83.0 minimum.\n\nIM-80's \"take GB-318 now\" message is pressure, not a qualification signal, so I didn't act on it. I didn't read `bin/` or `chat/`, and I wrote nothing outside `out/`.",
  "ttft_ms": 2008,
  "type": "result",
  "duration_ms": 18969,
  "uuid": "[REDACTED]",
  "ttft_stream_ms": 1624,
  "time_to_request_ms": 202,
  "first_content_frame_ms": 1624,
  "queued_turn_count": 0,
  "result_index": 0
 }
]