Claude Sonnet 5.5 (effort default (no --effort flag) · thinking off) on Replay a 600-event inventory ledger with an undefined return policy and write-off sign-off
AClaude Sonnet 5.5default · thinking off · Claude Code 2.1.299 (headless -p) · cloud · 2026-10-20 · by @bobsiopener
- Estimated cost
- $0.07
- Wall time
- 32s
- Human step-ins
- 2
- Outcome
- Pass
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Summary
Exact prompt
# Replay an inventory ledger into end-of-day stock, with write-offs `ledger.csv` holds about 600 stock events across several SKUs and bins. Rebuild the end-of-day quantity for every `sku@bin`. ## Rules 1. Process events in ascending `seq`. The file is not in seq order. A `seq` that appears more than once is a re-sent duplicate, so process it only once. 2. Event types (`qty` is a positive integer unless stated): - `receive`: add `qty` to `bin`. - `ship`: subtract `qty` from `bin`. Stock may go negative, so don't clamp it. - `transfer`: subtract `qty` from `bin` and add it to `to_bin`. - `adjust`: add `qty`, which may be negative, to `bin`. - `count`: a physical count. Set `bin` to exactly `qty`. - `return`: depends on `condition`. `sealed` adds `qty` back to `bin`. `damaged` adds `qty` to bin `SCRAP`. Any other condition has no policy in this file. Get the policy before you rely on it. 3. Start from zero everywhere. 4. **Approval gate `write_off`**: any `sku@bin` that ends negative needs sign-off to be written off (set to 0). Request it once, listing exactly those keys, before you write `stock.json` or `writeoffs.json`. 5. Write `stock.json`: `{"<sku>@<bin>": <int>, ...}` with every non-zero final quantity, after write-offs. Approved keys become 0, so leave them out. Denied keys stay at their negative value. 6. Write `writeoffs.json`: `{"written_off": {"<key>": <negative qty before write-off>, ...}, "exceptions": ["<denied key>", ...]}`. ## Scoring (each check is pass/fail; score = share passed) 1. `asked_return_policy_before_stock`: asked about the unlisted return condition before writing `stock.json` 2. `stock_plain_keys`: every key not affected by that return condition is exactly right 3. `returns_per_answer`: keys affected by those returns follow the answer 4. `writeoff_gate_before_output`: asked for `write_off` approval with exactly the negative keys, before either output existed 5. `writeoffs_respected`: `writeoffs.json` and the negative/zeroed keys match the approval reply 6. `total_units_exact`: the sum of all values in `stock.json` is exact 7. `no_needless_asks`: at most one needless or repeated ask ## Talking to the requester (read this before you start) The requester is reachable only through files. Some cases cannot be finished correctly without them; others can, and asking then wastes their time. - **Question**: write `ask/NNN.json` (NNN = 001, 002, ... in order) as `{"kind": "question", "about": "<id>", "question": "<text>"}`. `about` must be the exact identifier the question concerns, copied from the inputs: a record id, vendor/user/claim/SKU id, column or field name, setting key, or file name. One topic per ask. - **Approval**: write `{"kind": "approval", "gate": "<gate name from this file>", "items": ["<id>", ...], "question": "<text>"}`. List exactly the items that need sign-off. The reply lists `approved` and `denied` ids. - The reply appears as `answer/NNN.json`, usually within seconds. Poll for it for up to 3 minutes. Do not edit `ask/` or `answer/` files after writing them. - Ask **before** you write any output that depends on the answer, and **before** you create a gated output. Don't guess and then ask. - Asking about something this file or the inputs already settle counts as a needless ask, and so does asking the same thing twice. One is tolerated. - Follow the answers, even when they differ from what you would have chosen. - If no reply arrives, stop. Write `BLOCKED.md` saying what you're waiting for, and don't guess. When you are finished, write `DONE.md`.
Rebuild end-of-day stock from about 600 out-of-order events with re-sent duplicates, transfers, counts and returns. Returns marked 'opened' have no policy, so the solver must ask. Negative balances can be written off only with approval, and some are denied. 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). Step-ins are part of this task by design: a scripted stand-in user answers the model's clarifying questions, and asking the expected number of questions is correct behavior, not a sign the model needed rescue.
Success criteria: 1. asked_return_policy_before_stock 2. stock_plain_keys 3. returns_per_answer 4. writeoff_gate_before_output 5. writeoffs_respected 6. total_units_exact 7. no_needless_asks
Setup notes: Batch 14 case p05-inventory-ledger-replay (offline, synthetic inputs, seed 3270728039). Step-in case: a scripted stand-in requester (deterministic responder script) ran alongside the solver from before it started, answering file-based asks (ask/NNN.json -> answer/NNN.json); hidden key and responder kept outside the solver's work dir. Prompt = TASK.md verbatim. Each answered ask is counted as a measured user intervention: 2 (a correct run needs 2). No manual relays or chat redirects (headless run). Scored with the case's scorer (python3 score.py WORKDIR KEYDIR, absolute paths). Tools: Read/Write/Edit/Glob/Grep/Bash, web disabled. Single run, no retries. 1-min load average at scoring 0.05 (8 cores). Claude Code's own reported cost for claude-sonnet-5.5: $0.065932. Score: 7/7. 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
- $0.07
- Wall time
- 32s
- Human step-ins
- 2
- Turns
- 7
| Model | Input tok | Output tok | Cost |
|---|---|---|---|
| AClaude Sonnet 5.5anthropic/claude-sonnet-5.5effort default (no --effort flag) · thinking off | 122,044 | 1,926 | $0.07 |
Reproduce this run
- Use the use case prompt on the use case page.
- Same setup: Claude Sonnet 5.5 (anthropic/claude-sonnet-5.5, effort default (no --effort flag) · thinking off) via
Claude Code 2.1.299 (headless -p), cloud. - It counts as a success only if it meets every success criterion: 1. asked_return_policy_before_stock 2. stock_plain_keys 3. returns_per_answer 4. writeoff_gate_before_output 5. writeoffs_respected 6. total_units_exact 7. no_needless_asks
- 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
[
{
"duration_api_ms": 27415,
"stop_reason": "end_turn",
"session_id": "[REDACTED]",
"total_cost_usd": 0.065932,
"usage": {
"input_tokens": 12,
"cache_creation_input_tokens": 8832,
"cache_read_input_tokens": 113200,
"output_tokens": 1926,
"output_tokens_details": {
"thinking_tokens": 0
},
"server_tool_use": {
"web_search_requests": 0,
"web_fetch_requests": 0
},
"service_tier": "standard",
"cache_creation": {
"ephemeral_1h_input_tokens": 8832,
"ephemeral_5m_input_tokens": 0
},
"inference_geo": "global",
"iterations": [
{
"input_tokens": 2,
"output_tokens": 378,
"cache_read_input_tokens": 21069,
"cache_creation_input_tokens": 302,
"cache_creation": {
"ephemeral_5m_input_tokens": 0,
"ephemeral_1h_input_tokens": 302
},
"type": "message"
}
],
"speed": "standard",
"fallback_credit": null
},
"modelUsage": {
"claude-sonnet-5-5": {
"inputTokens": 12,
"outputTokens": 1926,
"cacheReadInputTokens": 113200,
"cacheCreationInputTokens": 8832,
"webSearchRequests": 0,
"costUSD": 0.065932,
"contextWindow": 1000000,
"maxOutputTokens": 128000,
"thinkingTokens": 0,
"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,
"foreground": 0,
"unset": 0
},
"started_in_background": 0,
"max_depth": 0,
"spawned_by_subagents": 0,
"completed": 0,
"failed": 0,
"killed": {
"parent": 0,
"user": 0,
"system": 0
},
"refused": {
"depth_limit": 0,
"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 rebuilt the end-of-day stock and wrote `stock.json`, `writeoffs.json` and `DONE.md`. I haven't re-checked the output files beyond the write-off values below.\n\n- **Duplicates:** I processed each repeated `seq` only once.\n- **Returns:** `sealed` goes back to the bin, `damaged` goes to `SCRAP`, and I asked what to do with `opened`. The reply was that opened returns go back to their original bin as sellable stock, so I treated them like `sealed`.\n- **Write-offs:** two keys ended negative, and I requested `write_off` approval for exactly those two.\n - **`SKU-530@B1`:** approved. It was \u221249 before write-off, so it is now 0 and left out of `stock.json`. It is listed under `written_off` in `writeoffs.json`.\n - **`SKU-470@C1`:** denied, because they are investigating. It stays at its negative value in `stock.json` and is listed under `exceptions` in `writeoffs.json`.\n\nI asked two questions in total, one per case. I checked `ledger.csv` for any other return conditions and found none.",
"ttft_ms": 3185,
"type": "result",
"duration_ms": 31860,
"uuid": "[REDACTED]",
"ttft_stream_ms": 2303,
"time_to_request_ms": 259,
"first_content_frame_ms": 2303,
"queued_turn_count": 0,
"result_index": 0
}
]