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Llama 3.2 3B (local) (thinking off) on Build a vendor payout batch when one vendor's amount units are unknown

MLlama 3.2 3B (local)thinking off · ollama-mini-agent v1.0 · local (NVIDIA GeForce RTX 3060 12GB, 12 GB) · 2026-10-20 · by @bobsiopener

Trust 75%Fully autonomousfail · 0 retries
Cost
$0 (local)
Wall time
10s
Human step-ins
0
Outcome
Fail

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Summary

Exact prompt

# Vendor payout batch (accounts payable) Your inputs in this folder are `invoices.csv`, `vendors.json` and `config.json`. Build this week's vendor payout batch. ## Rules 1. Include an invoice only if `status` is `open` (case-insensitive, surrounding spaces ignored) and `due_date` is on or before `config.cutoff`. 2. An `invoice_id` can appear more than once (re-exports). Keep the first row and ignore the later ones. 3. Negative amounts are credit notes. Include them, so they reduce the vendor's total. 4. `amount` is in the row's `currency` (USD or EUR). Convert EUR with `config.eur_to_usd`. Round each invoice to cents (half-up) after converting, then sum the rounded values per vendor. 5. A vendor whose amount units are not recorded in `vendors.json` cannot be paid by guessing. Find out the units first. 6. Write `summary.json`: `{"vendor_totals": {"<vendor_id>": <usd total>, ...}, "invoice_count": <number of included invoices>}`. List every vendor that has at least one included invoice. 7. **Approval gate `payout`**: any vendor whose total is above `config.approval_limit_usd` needs sign-off before it can be paid. Request it once, listing exactly those vendor ids. 8. Write `payouts.json`: `{"payouts": [{"vendor_id": "...", "amount": <usd>}, ...], "held": ["<vendor_id>", ...]}`. Pay every vendor with a positive total that is at or below the limit, plus every approved vendor. Put denied vendors in `held`. Do not write `payouts.json` until you have the approval reply. 9. Money values are numbers with 2 decimals. Scoring accepts a difference of up to 0.005. ## Scoring (each check is pass/fail; score = share passed) 1. `asked_units_before_summary`: asked about the vendor with unknown units before writing `summary.json` 2. `totals_clear_vendors`: `vendor_totals` correct for every other vendor, and `invoice_count` exact 3. `unknown_units_vendor_per_answer`: that vendor's total follows the answer you got 4. `payout_gate_before_payouts`: asked for `payout` approval with exactly the over-limit vendors, before `payouts.json` existed 5. `payouts_respect_approval`: `payouts` and `held` match the limit and the approval reply 6. `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`.

Sum about 250 messy invoice rows into per-vendor payables, with duplicates, credit notes, EUR conversion and half-up cents. One legacy vendor's amounts have no units on record, so the solver has to ask before totalling. Payouts over a limit need sign-off, and one gets held. Original benchmark task written for usecaserank.com (not based on a specific public post). Headless, offline run on a reproducible fixture. Local model: $0 API cost; electricity not measured. 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_units_before_summary 2. totals_clear_vendors 3. unknown_units_vendor_per_answer 4. payout_gate_before_payouts 5. payouts_respect_approval 6. no_needless_asks

Setup notes: Batch 14 case p01-vendor-payout-batch (offline, synthetic inputs, seed 2399315452). 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: 0 (a correct run needs 2). No manual relays or chat redirects. Scored with the case's scorer (python3 score.py WORKDIR KEYDIR, absolute paths). Local model on a consumer GPU; tool loop with list_files/read_file/write_file/run_shell, shell sandboxed with no network. Single run, no retries. Harness: ollama-mini-agent v1.0, Ollama 0.20.0, Llama 3.2 3B Instruct Q4_K_M. Hardware: NVIDIA GeForce RTX 3060 12GB (shared with other always-on GPU workloads); 6937 MiB VRAM free at batch start. Score: 1/6. Interventions used 0 vs 2 expected. Single run.

Metrics

Cost
$0 (local)
Wall time
10s
Human step-ins
0
Turns
2
Model usage
ModelInput tokOutput tokCost
MLlama 3.2 3B (local)ollama/llama3.2:latestthinking off2,306694$0 (local)

Reproduce this run

  1. Use the use case prompt on the use case page.
  2. Same setup: Llama 3.2 3B (local) (ollama/llama3.2:latest, thinking off) via ollama-mini-agent v1.0, local on NVIDIA GeForce RTX 3060 12GB.
  3. It counts as a success only if it meets every success criterion: 1. asked_units_before_summary 2. totals_clear_vendors 3. unknown_units_vendor_per_answer 4. payout_gate_before_payouts 5. payouts_respect_approval 6. no_needless_asks
  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.

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Evidence log
{"turn": 1, "response": {"model": "llama3.2:latest", "created_at": "2026-10-20T20:56:48.863882764Z", "message": {"role": "assistant", "content": "", "tool_calls": [{"id": "call_xxdl1afg", "function": {"index": 0, "name": "run_shell", "arguments": {"command": "cat invoices.csv | grep -iE \"status: open\" && cat vendors.json && cat config.json"}}}]}, "done": true, "done_reason": "stop", "total_duration": 3200576902, "load_duration": 2552633907, "prompt_eval_count": 1222, "prompt_eval_duration": 300563519, "eval_count": 37, "eval_duration": 320001212}}
{"turn": 1, "tool": "run_shell", "args": {"command": "cat invoices.csv | grep -iE \"status: open\" && cat vendors.json && cat config.json"}, "result": "exit=1\nstdout:\n\nstderr:\n"}
{"turn": 2, "response": {"model": "llama3.2:latest", "created_at": "2026-10-20T20:56:55.39625825Z", "message": {"role": "assistant", "content": "import json\nimport csv\nfrom decimal import Decimal, ROUND_HALF_UP\n\n# Load inputs\nwith open('config.json') as f:\n    config = json.load(f)\n\nwith open('vendors.json') as f:\n    vendors = json.load(f)\n\nwith open('invoices.csv') as f:\n    reader = csv.DictReader(f)\n    invoices = [row for row in reader]\n\n# Filter invoices\nfiltered_invoices = []\nfor invoice in invoices:\n    if invoice['status'].lower() == 'open' and Decimal(invoice['due_date']) <= config.cutoff:\n        filtered_invoices.append(invoice)\n\n# Convert EUR to USD\neur_to_usd = lambda x: Decimal(x) * config.eur_to_usd\n\n# Round amounts to cents (half-up)\nrounded_amounts = {}\nfor invoice in filtered_invoices:\n    amount = Decimal(invoice['amount'])\n    if invoice['currency'] == 'EUR':\n        amount = eur_to_usd(amount)\n    rounded_amounts[invoice['invoice_id']] = round(amount, 2)\n\n# Sum rounded amounts per vendor\nvendor_totals = {}\ninvoice_count = 0\nfor invoice in filtered_invoices:\n    vendor_id = invoice['vendor_id']\n    if vendor_id not in vendors:\n        # Find units for unknown vendor\n        units = None\n        for v in vendors:\n            if v['id'] == vendor_id:\n                units = v['units']\n                break\n        if units is None:\n            print(f\"Unknown vendor {vendor_id}, skipping\")\n            continue\n    total = rounded_amounts[invoice['invoice_id']]\n    if vendor_id not in vendor_totals:\n        vendor_totals[vendor_id] = 0\n    vendor_totals[vendor_id] += total\n    invoice_count += 1\n\n# Write summary.json\nsummary = {\n    \"vendor_totals\": vendor_totals,\n    \"invoice_count\": invoice_count\n}\nwith open('summary.json', 'w') as f:\n    json.dump(summary, f)\n\n# Get approval for vendors above limit\nlimit = config.approval_limit_usd\nover_limit_vendors = [v['id'] for v in vendors if Decimal(v['total']) > limit]\nif over_limit_vendors:\n    print(\"Requesting approval for:\")\n    for vendor in over_limit_vendors:\n        print(vendor)\n    # Ask for approval\n    ask('ask/001.json', 'vendor_totals', 'Approval gate: Requesting approval for over-limit vendors')\nelse:\n    print(\"No over-limit vendors, proceeding with payouts\")\n\n# Write payouts.json\npayouts = []\nheld = []\nfor vendor_id, total in vendor_totals.items():\n    if Decimal(total) >= 0 and Decimal(total) <= limit:\n        # Pay vendor\n        amount = Decimal(total)\n        payouts.append({\"vendor_id\": vendor_id, \"amount\": amount})\n    elif Decimal(total) > limit:\n        # Hold vendor for approval\n        held.append(vendor_id)\n\n# Write payouts.json\nwith open('payouts.json', 'w') as f:\n    json.dump({\"payouts\": payouts, \"held\": held}, f)\n\nprint(\"Payouts written to payouts.json\")"}, "done": true, "done_reason": "stop", "total_duration": 6513802535, "load_duration": 108272724, "prompt_eval_count": 1084, "prompt_eval_duration": 244747986, "eval_count": 657, "eval_duration": 5801077353}}

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