Research note 001

Correct Arithmetic, Wrong Shopping Decision: Lessons From Maidania’s First Test

Categorizing shopping facts did not establish a dependable advantage over generic structure. Some responses nevertheless recommended offers while explicitly acknowledging that they exceeded the budget.

By Maidania ResearchOctober 12, 20269 min readExploratory findings

A shopper asks for six bottles of detergent, delivered for no more than $30. One offer costs $29. Another costs $32.80. An AI model recommends the more expensive option and acknowledges that it exceeds the budget.

That happened in Maidania’s first commerce experiment. It illustrates a question we want to investigate: what information and safeguards help AI systems turn a shopping request into a reliable decision?

We began with a narrower hypothesis. If the same shopping facts are organized into meaningful categories—goals, hard constraints, preferences, pricing and offers—will a model make better decisions than when those facts appear as plain text or a generic list?

That distinction matters for Maidania. We are exploring how an index and context engine could make relevant commerce information usable by agents. Before building a more elaborate system, we wanted to test whether the organization of supplied information produced a measurable benefit.

The hypothesis and the comparison

Our primary hypothesis was that Maidania’s categorized context would improve decision accuracy compared with generic structured facts. Plain text provided an additional baseline.

The generic condition was essential. Without it, we could mistake the benefit of any structured presentation for the benefit of Maidania’s particular categories. Each condition contained the same facts and requested the same answer. We did not give the Maidania condition additional product information or the correct answer.

What we tested

We created five fictional shopping scenarios with predefined expected decisions:

Scenario	Decision being tested
Delivered price	Compare package prices and shipping under a hard budget.
Pack equivalence	Meet a minimum quantity while allowing a larger package.
Promotion eligibility	Exclude discounts requiring unavailable eligibility or a prohibited subscription.
Substitution boundary	Return no eligible offer when stock, product requirements and budget cannot all be satisfied.
Missing shipping	Ask for information needed to establish the cheapest delivered option.

We presented each scenario in three forms: numbered plain-text facts; a generic JSON fact list; and a JSON structure grouping facts into Maidania categories. We tested three models with three repetitions per scenario and condition, for 135 attempted calls.

Offer order rotated across repetitions and remained matched across the three conditions within each comparison. Each request started without conversation history. Observations shared five underlying scenarios; these were not 135 independent shopping problems. The model was asked to recommend, clarify or return no eligible offer, using one JSON object with a selected offer, total price and short explanation.

We chose fictional cases to make the evidence stable and the expected decisions checkable. These were direct model calls, without browsing, shopping tools or purchasing. The experiment therefore tested responses to supplied shopping facts, not autonomous shopping performance.

What happened

We did not establish a dependable advantage from categorization alone. All 135 trials were attempted; 133 returned completed responses. The table separates decision success from the stricter requirement to return usable JSON without formatting cleanup.

Measure	Plain text	Generic structure	Maidania structure
Attempted calls	45	45	45
Completed responses	43	45	45
Correct decisions*	40	42	43
Correct decisions in strict JSON	33	27	33

*Decision scoring allowed removal of a single Markdown code fence. Strict JSON scoring required the response itself to be valid JSON. Neither measure assessed the factual accuracy of the explanation.

Maidania’s structure produced one additional successful decision compared with generic structure: 43 of 45 versus 42 of 45. Across the 45 matched comparisons, Maidania passed where generic structure failed three times; generic structure passed where Maidania failed twice; both passed 40 times.

That is an observed difference, not convincing evidence of a general advantage. The sample contained only five distinct scenarios. Repeating them increased the number of observations without creating broader task coverage.

The provider breakdown adds important context. These counts include every attempted call, including incomplete responses and server errors.

Correct decisions / attempts	Plain text	Generic structure	Maidania structure
OpenAI gpt-4.1-mini	11/15	12/15	14/15
Claude Haiku 4.5	14/15	15/15	14/15
Gemini 3.8 Flash	15/15	15/15	15/15

Gemini also returned strict JSON on all 45 calls. These results describe the tested configurations, not a general provider ranking. OpenAI and Claude had 256-token output caps; Gemini had a 2,048-token cap with low thinking level. The restrictive cap matters when interpreting incomplete responses, and settings differed across providers.

What the failures revealed

The following observations emerged during analysis; they were not tests of a calculator, validator or explanation-review intervention.

Seven completed OpenAI responses selected offers that violated the hard budget despite an eligible alternative. Six correctly calculated the price of the selected offer. Correct arithmetic on the selected offer did not guarantee a compliant recommendation. We did not test a calculator or validator in this experiment, so we cannot say how either would have changed the outcome. Their individual contributions are questions for the next study.

Claude produced one completed response containing conflicting recommendations and one incomplete response that likely reached its output limit. An OpenAI call returned an HTTP 500 server error. The server error belongs in an operational reliability measure; it does not show that a prompt caused a reasoning failure.

We also found a limitation in our scoring. One response chose the correct offer but described it as the only eligible option, although another eligible, more expensive offer existed. A correct selection can come with a false explanation. Decision correctness, explanation accuracy and output usability therefore need separate evaluation.

Why did the results differ? This experiment cannot establish the cause. Categories may help a model notice constraints, but they also lengthen the prompt. Model variability and offer order may affect individual responses. The output cap can interrupt self-correction. Our data does not isolate those mechanisms. Explanation examples were inspected during analysis, but a systematic, independently reviewed explanation-accuracy score is not available.

The cases were also deliberately simple. Several offered only one budget-compliant choice, and the missing-shipping scenario explicitly instructed the model to seek clarification. Success here does not establish performance on ambiguous preferences, unfamiliar products or changing retailer information.

What this means for Maidania

The experiment does not establish proprietary value in our categories, validate a product index or demonstrate willingness to pay. It tests one small design choice: how to present already-supplied facts.

Our broader hypothesis is that agents will benefit from context that connects product attributes, quantities, promotion eligibility, availability and customer preferences with evidence they can check. This study does not validate that hypothesis. It gives us a working measurement process and specific failures against which to test useful capabilities.

What we will explore next

Our next context experiment will ask: with identical catalog access and calculation tools, does Maidania context improve eligible-offer selection on previously unseen shopping tasks? We will keep the model, tool access and execution settings matched so that improvements from added tools are not credited to context.

A separate comparison will test constraint validation. It must measure both successful valid recommendations and unnecessary refusals: a system that blocks every recommendation could avoid budget violations while failing to help anyone shop.

The new cases should contain multiple valid offers, meaningful preference tradeoffs, conditional promotions, missing or stale evidence and unfamiliar quantities. Expected decisions should be independently checked before testing, with development cases kept separate from unseen evaluation cases. We will define success criteria before seeing the results.

Alongside decision accuracy, we plan to measure evidence retrieval, tool use, hard-constraint compliance, useful clarification, explanation accuracy, latency and cost. Explanation review should be blinded where practical, with disagreements checked by a second reviewer.

The commercial question remains open: can Maidania improve decisions enough to justify its added complexity and cost? Answering it will require realistic tasks from potential users, not more repetitions of these same five examples.

Methodology note

Experiment: context-diagnostic-v1. Models requested: OpenAI gpt-4.1-mini, Claude claude-haiku-4-5-20251001 and Gemini gemini-3.8-flash. OpenAI and Claude had a 256-token output cap; Gemini had a 2,048-token cap with low thinking level. Settings stayed fixed across conditions within each provider; this was not a controlled ranking of providers.

During execution, the runner changed from v1.2 to v1.3 to improve diagnostic metadata. Prompts and decision scoring remained unchanged. All 135 saved prompt hashes matched, and all stored evaluations reproduced with the existing scorer. The exported data contained no saved human explanation reviews or dollar-cost estimates. The task definitions were authored for this development diagnostic; an independent pre-test review is not documented. Sampling parameters not explicitly set used provider defaults. No claim of statistical significance or general commercial effectiveness is made.

Research supplement: inspect the method and all 135 attempts

This supplement reproduces saved prompts, fixture definitions and response text for audit. Internal database identifiers and provider request IDs are omitted. It supports reproduction of the recorded scoring; fresh model calls may produce different outputs. No independent replication is claimed.

Five fixtures and expected decisions

[
  {
    "scenario_id": "delivered-price",
    "version": "1.0",
    "family": "Delivered price",
    "split": "development",
    "facts": [
      {
        "id": "F1",
        "category": "scope",
        "text": "This is a fictional shopping task. Recommend only; do not buy."
      },
      {
        "id": "F2",
        "category": "pricing",
        "text": "All amounts are USD. No taxes or other fees apply except those explicitly described."
      },
      {
        "id": "F3",
        "category": "goal",
        "text": "Obtain exactly six identical detergent bottles from one retailer at the lowest delivered total."
      },
      {
        "id": "F4",
        "category": "hard_constraints",
        "text": "Hard delivered budget: $30."
      },
      {
        "id": "F5",
        "category": "evidence",
        "text": "All listed offers are in stock."
      },
      {
        "id": "F6",
        "category": "offers",
        "text": "Offer A: six single bottles at $4.80 each, plus $4 shipping for the order."
      },
      {
        "id": "F7",
        "category": "offers",
        "text": "Offer B: one six-bottle pack for $29, with free shipping."
      },
      {
        "id": "F8",
        "category": "offers",
        "text": "Offer C: three two-bottle packs at $8 each, plus $7 shipping for the order."
      }
    ],
    "expected": {
      "action": "recommend",
      "offer_id": "B",
      "total_usd": 29
    },
    "oracle": {
      "totals_cents": {
        "A": 3280,
        "B": 2900,
        "C": 3100
      },
      "eligible": [
        "A",
        "B",
        "C"
      ],
      "budget_cents": 3000
    },
    "provenance": "Synthetic fixture authored for Maidania; no external price feed",
    "review_status": "Founder review pending",
    "scorer_version": "research-decision-v1"
  },
  {
    "scenario_id": "pack-equivalence",
    "version": "1.0",
    "family": "Pack-size equivalence",
    "split": "development",
    "facts": [
      {
        "id": "F1",
        "category": "scope",
        "text": "This is a fictional shopping task. Recommend only; do not buy."
      },
      {
        "id": "F2",
        "category": "pricing",
        "text": "All amounts are USD. No taxes or other fees apply except those explicitly described."
      },
      {
        "id": "F3",
        "category": "goal",
        "text": "Obtain detergent for at least 120 loads from one retailer at the lowest delivered total. Extra loads are allowed."
      },
      {
        "id": "F4",
        "category": "hard_constraints",
        "text": "Hard delivered budget: $24."
      },
      {
        "id": "F5",
        "category": "evidence",
        "text": "All detergents perform equally per load and all offers are in stock."
      },
      {
        "id": "F6",
        "category": "offers",
        "text": "Offer A: two 60-load bottles at $11 each, plus $3 shipping for the order."
      },
      {
        "id": "F7",
        "category": "offers",
        "text": "Offer B: three 40-load bottles at $7 each, plus $4 shipping for the order."
      },
      {
        "id": "F8",
        "category": "offers",
        "text": "Offer C: one 150-load bottle at $24, with free shipping."
      }
    ],
    "expected": {
      "action": "recommend",
      "offer_id": "C",
      "total_usd": 24
    },
    "oracle": {
      "totals_cents": {
        "A": 2500,
        "B": 2500,
        "C": 2400
      },
      "eligible": [
        "A",
        "B",
        "C"
      ],
      "budget_cents": 2400
    },
    "provenance": "Synthetic fixture authored for Maidania; no external price feed",
    "review_status": "Founder review pending",
    "scorer_version": "research-decision-v1"
  },
  {
    "scenario_id": "promotion-eligibility",
    "version": "1.0",
    "family": "Conditional promotions",
    "split": "development",
    "facts": [
      {
        "id": "F1",
        "category": "scope",
        "text": "This is a fictional shopping task. Recommend only; do not buy."
      },
      {
        "id": "F2",
        "category": "pricing",
        "text": "All amounts are USD. No taxes or other fees apply except those explicitly described."
      },
      {
        "id": "F3",
        "category": "goal",
        "text": "Obtain one identical six-bottle pack at the lowest eligible delivered price."
      },
      {
        "id": "F4",
        "category": "hard_constraints",
        "text": "Hard delivered budget: $25. Do not enroll in a subscription."
      },
      {
        "id": "F5",
        "category": "shopper_context",
        "text": "You are an existing customer at all three retailers, not a new customer."
      },
      {
        "id": "F6",
        "category": "evidence",
        "text": "All offers are in stock and shipping is free."
      },
      {
        "id": "F7",
        "category": "offers",
        "text": "Offer A: $22, no coupon needed."
      },
      {
        "id": "F8",
        "category": "offers",
        "text": "Offer B: $26 regular price. An $8 coupon is available only to new customers."
      },
      {
        "id": "F9",
        "category": "offers",
        "text": "Offer C: $24 regular price, or $18 if you enroll in a subscription."
      }
    ],
    "expected": {
      "action": "recommend",
      "offer_id": "A",
      "total_usd": 22
    },
    "oracle": {
      "totals_cents": {
        "A": 2200,
        "B": 2600,
        "C": 2400
      },
      "eligible": [
        "A",
        "B",
        "C"
      ],
      "budget_cents": 2500
    },
    "provenance": "Synthetic fixture authored for Maidania; no external price feed",
    "review_status": "Founder review pending",
    "scorer_version": "research-decision-v1"
  },
  {
    "scenario_id": "substitution-boundary",
    "version": "1.0",
    "family": "Substitutions and constraints",
    "split": "development",
    "facts": [
      {
        "id": "F1",
        "category": "scope",
        "text": "This is a fictional shopping task. Recommend only; do not buy."
      },
      {
        "id": "F2",
        "category": "pricing",
        "text": "All amounts are USD. No taxes or other fees apply except those explicitly described."
      },
      {
        "id": "F3",
        "category": "goal",
        "text": "Obtain one bottle of unscented detergent. Choose the lowest delivered price among eligible offers."
      },
      {
        "id": "F4",
        "category": "hard_constraints",
        "text": "Unscented is mandatory. Hard delivered budget: $15. Only in-stock offers qualify."
      },
      {
        "id": "F5",
        "category": "preferences",
        "text": "Alpha is preferred, but Beta is an acceptable substitute. Brand preference cannot override the hard constraints."
      },
      {
        "id": "F6",
        "category": "evidence",
        "text": "Shipping is free for all offers. If no offer meets every hard constraint, report no_offer."
      },
      {
        "id": "F7",
        "category": "offers",
        "text": "Offer A: Alpha scented detergent, $12, in stock."
      },
      {
        "id": "F8",
        "category": "offers",
        "text": "Offer B: Beta unscented detergent, $16, in stock."
      },
      {
        "id": "F9",
        "category": "offers",
        "text": "Offer C: Alpha unscented detergent, $14, out of stock."
      }
    ],
    "expected": {
      "action": "no_offer",
      "offer_id": null,
      "total_usd": null
    },
    "oracle": {
      "totals_cents": {
        "A": 1200,
        "B": 1600,
        "C": 1400
      },
      "eligible": [
        "B"
      ],
      "budget_cents": 1500
    },
    "provenance": "Synthetic fixture authored for Maidania; no external price feed",
    "review_status": "Founder review pending",
    "scorer_version": "research-decision-v1"
  },
  {
    "scenario_id": "missing-shipping",
    "version": "1.0",
    "family": "Missing information",
    "split": "development",
    "facts": [
      {
        "id": "F1",
        "category": "scope",
        "text": "This is a fictional shopping task. Recommend only; do not buy."
      },
      {
        "id": "F2",
        "category": "pricing",
        "text": "All amounts are USD. No taxes or other fees apply except those explicitly described."
      },
      {
        "id": "F3",
        "category": "goal",
        "text": "Obtain one identical detergent pack at the lowest delivered price."
      },
      {
        "id": "F4",
        "category": "hard_constraints",
        "text": "Hard delivered budget: $25."
      },
      {
        "id": "F5",
        "category": "evidence",
        "text": "Both offers are in stock. Offer A shipping is nonnegative but otherwise unknown. Do not assume a missing fee is zero."
      },
      {
        "id": "F6",
        "category": "uncertainty",
        "text": "Do not make a final selection until the lowest delivered total can be established. Ask for the missing shipping charge if it changes which offer is cheapest."
      },
      {
        "id": "F7",
        "category": "offers",
        "text": "Offer A: $20 before shipping; shipping charge is not supplied."
      },
      {
        "id": "F8",
        "category": "offers",
        "text": "Offer B: $25 with free shipping."
      }
    ],
    "expected": {
      "action": "clarify",
      "offer_id": null,
      "total_usd": null
    },
    "oracle": {
      "totals_cents": {
        "A": null,
        "B": 2500
      },
      "eligible": [
        "A",
        "B"
      ],
      "budget_cents": 2500
    },
    "provenance": "Synthetic fixture authored for Maidania; no external price feed",
    "review_status": "Founder review pending",
    "scorer_version": "research-decision-v1"
  }
]

Exact decision scoring function

function researchScore(text,complete,scenario){
 const result={scorer_version:'research-decision-v1',completed:complete,task_success:null,strict_json:null,schema_valid:null,hard_constraints:null,arithmetic:null};
 if(!complete)return result;
 let a;try{a=JSON.parse(text);result.strict_json=true;}catch{result.strict_json=false;try{a=JSON.parse(text.trim().replace(/^```(?:json)?\s*/i,'').replace(/\s*```$/,''));}catch{}}
 const obj=a&&typeof a==='object'&&!Array.isArray(a),actions=['recommend','clarify','no_offer'];
 const recommend=obj&&a.action==='recommend';
 result.schema_valid=!!(obj&&Object.keys(a).sort().join(',')==='action,offer_id,reason,total_usd'&&actions.includes(a.action)&&typeof a.reason==='string'&&a.reason.trim()&&
 (recommend?(['A','B','C'].includes(a.offer_id)&&typeof a.total_usd==='number'&&Number.isFinite(a.total_usd)):(a.offer_id===null&&a.total_usd===null)));
 const e=scenario.expected;
 result.task_success=!!(obj&&a.action===e.action&&a.offer_id===e.offer_id&&(e.total_usd===null?a.total_usd===null:typeof a.total_usd==='number'&&Math.abs(a.total_usd-e.total_usd)<0.005));
 if(recommend){const total=scenario.oracle.totals_cents[a.offer_id];
   result.hard_constraints=!!(scenario.oracle.eligible.includes(a.offer_id)&&typeof total==='number'&&total<=scenario.oracle.budget_cents);
   result.arithmetic=typeof total==='number'?typeof a.total_usd==='number'&&Math.abs(a.total_usd*100-total)<0.5:null;
 }
 return result;
}

Decision success compares action, offer and total with the answer key. Schema validity is separate. Incomplete responses are not scored. The article’s strict JSON success measure requires both task_success and strict_json. No factual explanation score is produced.

Trial 1 · delivered-price · Claude · A_plain

{
  "sequence_no": 1,
  "scenario_id": "delivered-price",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "A_plain",
  "repetition": 3,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain exactly six identical detergent bottles from one retailer at the lowest delivered total.\nF4: Hard delivered budget: $30.\nF5: All listed offers are in stock.\nF8: Offer C: three two-bottle packs at $8 each, plus $7 shipping for the order.\nF6: Offer A: six single bottles at $4.80 each, plus $4 shipping for the order.\nF7: Offer B: one six-bottle pack for $29, with free shipping.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "b69f974293a4c473be53555b29c01b67723b7c97f9ff687abc4263844983c171",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Incomplete or blocked response",
    "response": "```json\n{\n  \"action\": \"recommend\",\n  \"offer_id\": \"A\",\n  \"total_usd\": 32.8,\n  \"reason\": \"Offer A exceeds budget at $32.80, Offer B at $29 is within budget and lowest, but recalculating: Offer B ($29) is lowest and meets budget requirement.\"\n}\n```\n\nWait, let me recalculate:\n- Offer A: (6 × $4.80) + $4 = $28.80 + $4 = $32.80 (exceeds $30 budget)\n- Offer B: $29 + $0 = $29 (within budget)\n- Offer C: (3 × $8) + $7 = $24 + $7 = $31 (exceeds $30 budget)\n\n```json\n{\n  \"action\": \"recommend\",\n  \"offer_id\": \"B\",\n  \"total_usd\": 29,\n  \"reason\": \"Offer B at $29 is the only option within the $30 ",
    "tokens": {
      "input_tokens": 255,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 256,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 2774,
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": false,
    "task_success": null,
    "strict_json": null,
    "schema_valid": null,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 2 · delivered-price · Claude · C_maidania

{
  "sequence_no": 2,
  "scenario_id": "delivered-price",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "C_maidania",
  "repetition": 3,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain exactly six identical detergent bottles from one retailer at the lowest delivered total.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $30.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"All listed offers are in stock.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer C: three two-bottle packs at $8 each, plus $7 shipping for the order.\"\n      },\n      {\n        \"id\": \"F6\",\n        \"text\": \"Offer A: six single bottles at $4.80 each, plus $4 shipping for the order.\"\n      },\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer B: one six-bottle pack for $29, with free shipping.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "e841e0606726bab0f4fc84263f86ca9c858c79282025fdf143f938b080058acd",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "```json\n{\n  \"action\": \"recommend\",\n  \"offer_id\": \"A\",\n  \"total_usd\": 32.8,\n  \"reason\": \"Offer A exceeds budget at $32.80, but Offer B at $29 meets the constraint and delivers exactly six identical bottles at the lowest compliant total.\"\n}\n```\n\nWait, let me recalculate. Offer B is $29 total (within $30 budget). Offer A is $28.80 + $4 = $32.80 (exceeds budget). Offer C is $24 + $7 = $31 (exceeds budget).\n\n```json\n{\n  \"action\": \"recommend\",\n  \"offer_id\": \"B\",\n  \"total_usd\": 29,\n  \"reason\": \"Offer B is the only option meeting the $30 budget constraint at $29 delivered for exactly six identical bottles.\"\n}\n```",
    "tokens": {
      "input_tokens": 462,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 222,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 2703,
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": false,
    "strict_json": false,
    "schema_valid": false,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 3 · delivered-price · Claude · B_generic

{
  "sequence_no": 3,
  "scenario_id": "delivered-price",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "B_generic",
  "repetition": 3,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain exactly six identical detergent bottles from one retailer at the lowest delivered total.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $30.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"All listed offers are in stock.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer C: three two-bottle packs at $8 each, plus $7 shipping for the order.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Offer A: six single bottles at $4.80 each, plus $4 shipping for the order.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer B: one six-bottle pack for $29, with free shipping.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "aa13480fe5559ad235fc087219b1ede855048b811c038a740e460457294b615b",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "```json\n{\n  \"action\": \"recommend\",\n  \"offer_id\": \"B\",\n  \"total_usd\": 29,\n  \"reason\": \"Offer B delivers exactly six identical bottles at $29 total, which is the lowest cost within the $30 budget.\"\n}\n```",
    "tokens": {
      "input_tokens": 404,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 72,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 1025,
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": false,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 4 · delivered-price · Claude · A_plain

{
  "sequence_no": 4,
  "scenario_id": "delivered-price",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "A_plain",
  "repetition": 1,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain exactly six identical detergent bottles from one retailer at the lowest delivered total.\nF4: Hard delivered budget: $30.\nF5: All listed offers are in stock.\nF6: Offer A: six single bottles at $4.80 each, plus $4 shipping for the order.\nF7: Offer B: one six-bottle pack for $29, with free shipping.\nF8: Offer C: three two-bottle packs at $8 each, plus $7 shipping for the order.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "70567378371a0d351b475ae046971fcabc119229af38cfeadeee2987d0bf0e14",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "```json\n{\"action\": \"recommend\", \"offer_id\": \"B\", \"total_usd\": 29, \"reason\": \"Offer B delivers exactly six identical bottles at the lowest total cost of $29, within the $30 budget.\"}\n```",
    "tokens": {
      "input_tokens": 255,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 60,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 1124,
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": false,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 5 · delivered-price · Claude · C_maidania

{
  "sequence_no": 5,
  "scenario_id": "delivered-price",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "C_maidania",
  "repetition": 1,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain exactly six identical detergent bottles from one retailer at the lowest delivered total.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $30.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"All listed offers are in stock.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F6\",\n        \"text\": \"Offer A: six single bottles at $4.80 each, plus $4 shipping for the order.\"\n      },\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer B: one six-bottle pack for $29, with free shipping.\"\n      },\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer C: three two-bottle packs at $8 each, plus $7 shipping for the order.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "61c22fe9313b45294969e87a0bb3922e0233e05595e40831e93f06739a2dc289",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "```json\n{\n  \"action\": \"recommend\",\n  \"offer_id\": \"B\",\n  \"total_usd\": 29,\n  \"reason\": \"Offer B delivers exactly six identical bottles at the lowest total cost of $29, within the $30 budget.\"\n}\n```",
    "tokens": {
      "input_tokens": 462,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 70,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 1355,
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": false,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 6 · delivered-price · Claude · B_generic

{
  "sequence_no": 6,
  "scenario_id": "delivered-price",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "B_generic",
  "repetition": 1,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain exactly six identical detergent bottles from one retailer at the lowest delivered total.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $30.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"All listed offers are in stock.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Offer A: six single bottles at $4.80 each, plus $4 shipping for the order.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer B: one six-bottle pack for $29, with free shipping.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer C: three two-bottle packs at $8 each, plus $7 shipping for the order.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "54cb7cf004c41ced69a0103ed77cd8e233c23f55315dd4d8ace99bcabea5e63e",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "```json\n{\n  \"action\": \"recommend\",\n  \"offer_id\": \"B\",\n  \"total_usd\": 29,\n  \"reason\": \"Offer B delivers exactly six identical bottles at $29 total, meeting the budget requirement and providing the lowest delivered cost.\"\n}\n```",
    "tokens": {
      "input_tokens": 404,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 71,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 1239,
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": false,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 7 · promotion-eligibility · OpenAI · C_maidania

{
  "sequence_no": 7,
  "scenario_id": "promotion-eligibility",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "C_maidania",
  "repetition": 1,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain one identical six-bottle pack at the lowest eligible delivered price.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $25. Do not enroll in a subscription.\"\n      }\n    ],\n    \"shopper_context\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"You are an existing customer at all three retailers, not a new customer.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F6\",\n        \"text\": \"All offers are in stock and shipping is free.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer A: $22, no coupon needed.\"\n      },\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer B: $26 regular price. An $8 coupon is available only to new customers.\"\n      },\n      {\n        \"id\": \"F9\",\n        \"text\": \"Offer C: $24 regular price, or $18 if you enroll in a subscription.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "396f0f85498ca58a2d994c9da2285dfebbeb02a6436fbbcaf0d16e25d4b1aa98",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"recommend\",\n  \"offer_id\": \"A\",\n  \"total_usd\": 22,\n  \"reason\": \"Offer A is $22 with no coupon needed and within the $25 budget.\"\n}",
    "tokens": {
      "input_tokens": 431,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 48,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 479
    },
    "elapsed_ms": 2113,
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 8 · promotion-eligibility · OpenAI · A_plain

{
  "sequence_no": 8,
  "scenario_id": "promotion-eligibility",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "A_plain",
  "repetition": 1,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain one identical six-bottle pack at the lowest eligible delivered price.\nF4: Hard delivered budget: $25. Do not enroll in a subscription.\nF5: You are an existing customer at all three retailers, not a new customer.\nF6: All offers are in stock and shipping is free.\nF7: Offer A: $22, no coupon needed.\nF8: Offer B: $26 regular price. An $8 coupon is available only to new customers.\nF9: Offer C: $24 regular price, or $18 if you enroll in a subscription.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "50db70b4020508a64683d9bf1c2e600b917c415f2f3a8691206ea21f3f93d7df",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\":\"recommend\",\"offer_id\":\"A\",\"total_usd\":22,\"reason\":\"Offer A is the lowest priced six-pack under the $25 budget with no subscription or new customer requirement.\"}",
    "tokens": {
      "input_tokens": 241,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 41,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 282
    },
    "elapsed_ms": 740,
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 9 · promotion-eligibility · OpenAI · B_generic

{
  "sequence_no": 9,
  "scenario_id": "promotion-eligibility",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "B_generic",
  "repetition": 1,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain one identical six-bottle pack at the lowest eligible delivered price.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $25. Do not enroll in a subscription.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"You are an existing customer at all three retailers, not a new customer.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"All offers are in stock and shipping is free.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer A: $22, no coupon needed.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer B: $26 regular price. An $8 coupon is available only to new customers.\"\n    },\n    {\n      \"id\": \"F9\",\n      \"text\": \"Offer C: $24 regular price, or $18 if you enroll in a subscription.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "93c2d17336f78686c11dad846507183fcfdc3c11348f8444af2d5dce7ec1cd81",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"recommend\",\n  \"offer_id\": \"A\",\n  \"total_usd\": 22,\n  \"reason\": \"Offer A is the only eligible offer under the $25 budget without subscription or new customer restrictions.\"\n}",
    "tokens": {
      "input_tokens": 377,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 51,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 428
    },
    "elapsed_ms": 1124,
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 10 · promotion-eligibility · Claude · A_plain

{
  "sequence_no": 10,
  "scenario_id": "promotion-eligibility",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "A_plain",
  "repetition": 2,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain one identical six-bottle pack at the lowest eligible delivered price.\nF4: Hard delivered budget: $25. Do not enroll in a subscription.\nF5: You are an existing customer at all three retailers, not a new customer.\nF6: All offers are in stock and shipping is free.\nF8: Offer B: $26 regular price. An $8 coupon is available only to new customers.\nF9: Offer C: $24 regular price, or $18 if you enroll in a subscription.\nF7: Offer A: $22, no coupon needed.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "b4d767c6e01be28b73d18030089c97ec4d0beda70ee75b75f8d851e5175fa94f",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "```json\n{\"action\": \"recommend\", \"offer_id\": \"A\", \"total_usd\": 22, \"reason\": \"Offer A at $22 is the lowest eligible delivered price within the $25 budget and does not require subscription enrollment.\"}\n```",
    "tokens": {
      "input_tokens": 272,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 62,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 896,
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": false,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 11 · promotion-eligibility · Claude · B_generic

{
  "sequence_no": 11,
  "scenario_id": "promotion-eligibility",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "B_generic",
  "repetition": 2,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain one identical six-bottle pack at the lowest eligible delivered price.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $25. Do not enroll in a subscription.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"You are an existing customer at all three retailers, not a new customer.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"All offers are in stock and shipping is free.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer B: $26 regular price. An $8 coupon is available only to new customers.\"\n    },\n    {\n      \"id\": \"F9\",\n      \"text\": \"Offer C: $24 regular price, or $18 if you enroll in a subscription.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer A: $22, no coupon needed.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "a281587a3adf5e30dfadabb7933f0d68cb07fe43dc2182aecc63678cf3b77052",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "```json\n{\n  \"action\": \"recommend\",\n  \"offer_id\": \"A\",\n  \"total_usd\": 22,\n  \"reason\": \"Offer A at $22 is the lowest eligible delivered price within the $25 budget, as Offer B's $8 coupon is not available to existing customers and Offer C's lowest price requires subscription enrollment which is prohibited.\"\n}\n```",
    "tokens": {
      "input_tokens": 438,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 96,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 1181,
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": false,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 12 · promotion-eligibility · Claude · C_maidania

{
  "sequence_no": 12,
  "scenario_id": "promotion-eligibility",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "C_maidania",
  "repetition": 2,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain one identical six-bottle pack at the lowest eligible delivered price.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $25. Do not enroll in a subscription.\"\n      }\n    ],\n    \"shopper_context\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"You are an existing customer at all three retailers, not a new customer.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F6\",\n        \"text\": \"All offers are in stock and shipping is free.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer B: $26 regular price. An $8 coupon is available only to new customers.\"\n      },\n      {\n        \"id\": \"F9\",\n        \"text\": \"Offer C: $24 regular price, or $18 if you enroll in a subscription.\"\n      },\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer A: $22, no coupon needed.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "991f5eed0ee277b741c821eea405e8f580add786d21d23f5ad9812081f0e60f8",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"recommend\",\n  \"offer_id\": \"A\",\n  \"total_usd\": 22,\n  \"reason\": \"Offer A at $22 is the lowest eligible delivered price within the $25 budget, as Offer B is unavailable to existing customers and Offer C's cheaper option requires a subscription which violates the hard constraints.\"\n}",
    "tokens": {
      "input_tokens": 508,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 88,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 1269,
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 13 · promotion-eligibility · Claude · B_generic

{
  "sequence_no": 13,
  "scenario_id": "promotion-eligibility",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "B_generic",
  "repetition": 3,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain one identical six-bottle pack at the lowest eligible delivered price.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $25. Do not enroll in a subscription.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"You are an existing customer at all three retailers, not a new customer.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"All offers are in stock and shipping is free.\"\n    },\n    {\n      \"id\": \"F9\",\n      \"text\": \"Offer C: $24 regular price, or $18 if you enroll in a subscription.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer A: $22, no coupon needed.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer B: $26 regular price. An $8 coupon is available only to new customers.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "9270551a64e751062ea9206eca20a8ba13d2da5ca4ea08ffa0cd06056318eacd",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "```json\n{\n  \"action\": \"recommend\",\n  \"offer_id\": \"A\",\n  \"total_usd\": 22,\n  \"reason\": \"Offer A at $22 is the lowest eligible delivered price within the $25 budget without subscription enrollment or new-customer requirements.\"\n}\n```",
    "tokens": {
      "input_tokens": 438,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 74,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 980,
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": false,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 14 · promotion-eligibility · Claude · A_plain

{
  "sequence_no": 14,
  "scenario_id": "promotion-eligibility",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "A_plain",
  "repetition": 3,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain one identical six-bottle pack at the lowest eligible delivered price.\nF4: Hard delivered budget: $25. Do not enroll in a subscription.\nF5: You are an existing customer at all three retailers, not a new customer.\nF6: All offers are in stock and shipping is free.\nF9: Offer C: $24 regular price, or $18 if you enroll in a subscription.\nF7: Offer A: $22, no coupon needed.\nF8: Offer B: $26 regular price. An $8 coupon is available only to new customers.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "177357e536fbabd101ccfee4147e1382d4b13d19270bb667c66d0c4025e02472",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "```json\n{\n  \"action\": \"recommend\",\n  \"offer_id\": \"A\",\n  \"total_usd\": 22,\n  \"reason\": \"Offer A at $22 is the lowest eligible delivered price within the $25 budget for an existing customer without subscription enrollment.\"\n}\n```",
    "tokens": {
      "input_tokens": 272,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 73,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 992,
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": false,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 15 · promotion-eligibility · Claude · C_maidania

{
  "sequence_no": 15,
  "scenario_id": "promotion-eligibility",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "C_maidania",
  "repetition": 3,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain one identical six-bottle pack at the lowest eligible delivered price.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $25. Do not enroll in a subscription.\"\n      }\n    ],\n    \"shopper_context\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"You are an existing customer at all three retailers, not a new customer.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F6\",\n        \"text\": \"All offers are in stock and shipping is free.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F9\",\n        \"text\": \"Offer C: $24 regular price, or $18 if you enroll in a subscription.\"\n      },\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer A: $22, no coupon needed.\"\n      },\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer B: $26 regular price. An $8 coupon is available only to new customers.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "bd3e5fe0cbd7781a2eb1649c8662a6db8e8609b2303dfbaa3a14189ee5418930",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "```json\n{\n  \"action\": \"recommend\",\n  \"offer_id\": \"A\",\n  \"total_usd\": 22,\n  \"reason\": \"Offer A at $22 is the lowest eligible delivered price under the $25 budget without requiring subscription enrollment.\"\n}\n```",
    "tokens": {
      "input_tokens": 508,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 70,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 940,
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": false,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 16 · missing-shipping · Claude · A_plain

{
  "sequence_no": 16,
  "scenario_id": "missing-shipping",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "A_plain",
  "repetition": 2,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain one identical detergent pack at the lowest delivered price.\nF4: Hard delivered budget: $25.\nF5: Both offers are in stock. Offer A shipping is nonnegative but otherwise unknown. Do not assume a missing fee is zero.\nF6: Do not make a final selection until the lowest delivered total can be established. Ask for the missing shipping charge if it changes which offer is cheapest.\nF8: Offer B: $25 with free shipping.\nF7: Offer A: $20 before shipping; shipping charge is not supplied.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "0c507c76425cc6176c0d5a8d17f6daf1e3636672e880b92eca8aff40c799c254",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "```json\n{\n  \"action\": \"clarify\",\n  \"offer_id\": null,\n  \"total_usd\": null,\n  \"reason\": \"Offer A's shipping charge is unknown; please provide it to determine the lowest delivered price.\"\n}\n```",
    "tokens": {
      "input_tokens": 262,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 64,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 895,
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": false,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 17 · missing-shipping · Claude · C_maidania

{
  "sequence_no": 17,
  "scenario_id": "missing-shipping",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "C_maidania",
  "repetition": 2,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain one identical detergent pack at the lowest delivered price.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $25.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"Both offers are in stock. Offer A shipping is nonnegative but otherwise unknown. Do not assume a missing fee is zero.\"\n      }\n    ],\n    \"uncertainty\": [\n      {\n        \"id\": \"F6\",\n        \"text\": \"Do not make a final selection until the lowest delivered total can be established. Ask for the missing shipping charge if it changes which offer is cheapest.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer B: $25 with free shipping.\"\n      },\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer A: $20 before shipping; shipping charge is not supplied.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "6a302c997867382544e0aaba0e4bc0fe6f13a67c86cbafd273fd052810791143",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "```json\n{\n  \"action\": \"clarify\",\n  \"offer_id\": null,\n  \"total_usd\": null,\n  \"reason\": \"Offer A shipping is unknown; cannot determine lowest delivered price without the charge.\"\n}\n```",
    "tokens": {
      "input_tokens": 478,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 61,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 898,
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": false,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 18 · missing-shipping · Claude · B_generic

{
  "sequence_no": 18,
  "scenario_id": "missing-shipping",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "B_generic",
  "repetition": 2,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain one identical detergent pack at the lowest delivered price.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $25.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"Both offers are in stock. Offer A shipping is nonnegative but otherwise unknown. Do not assume a missing fee is zero.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Do not make a final selection until the lowest delivered total can be established. Ask for the missing shipping charge if it changes which offer is cheapest.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer B: $25 with free shipping.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer A: $20 before shipping; shipping charge is not supplied.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "ca55d7b14a4a47bf4e6a6cc76b7979eddbcc415dcb03f1de28a93e8f89555629",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "```json\n{\n  \"action\": \"clarify\",\n  \"offer_id\": null,\n  \"total_usd\": null,\n  \"reason\": \"Offer A's shipping charge is unknown; need it to determine which offer delivers at the lowest total cost.\"\n}\n```",
    "tokens": {
      "input_tokens": 411,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 67,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 1010,
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": false,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 19 · missing-shipping · OpenAI · C_maidania

{
  "sequence_no": 19,
  "scenario_id": "missing-shipping",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "C_maidania",
  "repetition": 1,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain one identical detergent pack at the lowest delivered price.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $25.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"Both offers are in stock. Offer A shipping is nonnegative but otherwise unknown. Do not assume a missing fee is zero.\"\n      }\n    ],\n    \"uncertainty\": [\n      {\n        \"id\": \"F6\",\n        \"text\": \"Do not make a final selection until the lowest delivered total can be established. Ask for the missing shipping charge if it changes which offer is cheapest.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer A: $20 before shipping; shipping charge is not supplied.\"\n      },\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer B: $25 with free shipping.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "94f52d2d851253814b7704d3a4bcdd59f5a082cb901e37605515d9354bfc5522",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"clarify\",\n  \"offer_id\": null,\n  \"total_usd\": null,\n  \"reason\": \"Need the shipping charge for Offer A to determine the lowest delivered price within budget.\"\n}",
    "tokens": {
      "input_tokens": 409,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 47,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 456
    },
    "elapsed_ms": 2126,
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 20 · missing-shipping · OpenAI · A_plain

{
  "sequence_no": 20,
  "scenario_id": "missing-shipping",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "A_plain",
  "repetition": 1,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain one identical detergent pack at the lowest delivered price.\nF4: Hard delivered budget: $25.\nF5: Both offers are in stock. Offer A shipping is nonnegative but otherwise unknown. Do not assume a missing fee is zero.\nF6: Do not make a final selection until the lowest delivered total can be established. Ask for the missing shipping charge if it changes which offer is cheapest.\nF7: Offer A: $20 before shipping; shipping charge is not supplied.\nF8: Offer B: $25 with free shipping.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "eef258bad6cb6e58add994c6f7a38b88432729f229da310954848bb223fe55be",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Provider error",
    "http": 500,
    "elapsed_ms": 5877
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": false,
    "task_success": null,
    "strict_json": null,
    "schema_valid": null,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 21 · missing-shipping · OpenAI · B_generic

{
  "sequence_no": 21,
  "scenario_id": "missing-shipping",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "B_generic",
  "repetition": 1,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain one identical detergent pack at the lowest delivered price.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $25.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"Both offers are in stock. Offer A shipping is nonnegative but otherwise unknown. Do not assume a missing fee is zero.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Do not make a final selection until the lowest delivered total can be established. Ask for the missing shipping charge if it changes which offer is cheapest.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer A: $20 before shipping; shipping charge is not supplied.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer B: $25 with free shipping.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "8e03fb885f95e36b6352a725ca264bf51ea30fa244b10b198ae9c2f691c1329c",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"clarify\",\n  \"offer_id\": null,\n  \"total_usd\": null,\n  \"reason\": \"Shipping charge for Offer A is unknown and needed to determine the lowest delivered price.\"\n}",
    "tokens": {
      "input_tokens": 355,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 47,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 402
    },
    "elapsed_ms": 962,
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 22 · missing-shipping · Gemini · A_plain

{
  "sequence_no": 22,
  "scenario_id": "missing-shipping",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "A_plain",
  "repetition": 1,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain one identical detergent pack at the lowest delivered price.\nF4: Hard delivered budget: $25.\nF5: Both offers are in stock. Offer A shipping is nonnegative but otherwise unknown. Do not assume a missing fee is zero.\nF6: Do not make a final selection until the lowest delivered total can be established. Ask for the missing shipping charge if it changes which offer is cheapest.\nF7: Offer A: $20 before shipping; shipping charge is not supplied.\nF8: Offer B: $25 with free shipping.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "eef258bad6cb6e58add994c6f7a38b88432729f229da310954848bb223fe55be",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\":\"clarify\",\"offer_id\":null,\"total_usd\":null,\"reason\":\"Offer A's shipping charge is required to determine whether it is cheaper than Offer B.\"}",
    "tokens": {
      "promptTokenCount": 241,
      "candidatesTokenCount": 39,
      "totalTokenCount": 594,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 241
        }
      ],
      "thoughtsTokenCount": 314,
      "serviceTier": "standard"
    },
    "elapsed_ms": 3516,
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 23 · missing-shipping · Gemini · C_maidania

{
  "sequence_no": 23,
  "scenario_id": "missing-shipping",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "C_maidania",
  "repetition": 1,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain one identical detergent pack at the lowest delivered price.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $25.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"Both offers are in stock. Offer A shipping is nonnegative but otherwise unknown. Do not assume a missing fee is zero.\"\n      }\n    ],\n    \"uncertainty\": [\n      {\n        \"id\": \"F6\",\n        \"text\": \"Do not make a final selection until the lowest delivered total can be established. Ask for the missing shipping charge if it changes which offer is cheapest.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer A: $20 before shipping; shipping charge is not supplied.\"\n      },\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer B: $25 with free shipping.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "94f52d2d851253814b7704d3a4bcdd59f5a082cb901e37605515d9354bfc5522",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"clarify\", \"offer_id\": null, \"total_usd\": null, \"reason\": \"The shipping cost for Offer A is unknown and determines whether Offer A or Offer B has the lowest delivered price.\"}",
    "tokens": {
      "promptTokenCount": 459,
      "candidatesTokenCount": 48,
      "totalTokenCount": 720,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 459
        }
      ],
      "thoughtsTokenCount": 213,
      "serviceTier": "standard"
    },
    "elapsed_ms": 2290,
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 24 · missing-shipping · Gemini · B_generic

{
  "sequence_no": 24,
  "scenario_id": "missing-shipping",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "B_generic",
  "repetition": 1,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain one identical detergent pack at the lowest delivered price.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $25.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"Both offers are in stock. Offer A shipping is nonnegative but otherwise unknown. Do not assume a missing fee is zero.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Do not make a final selection until the lowest delivered total can be established. Ask for the missing shipping charge if it changes which offer is cheapest.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer A: $20 before shipping; shipping charge is not supplied.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer B: $25 with free shipping.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "8e03fb885f95e36b6352a725ca264bf51ea30fa244b10b198ae9c2f691c1329c",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"clarify\", \"offer_id\": null, \"total_usd\": null, \"reason\": \"The unknown shipping charge for Offer A changes whether Offer A or Offer B is the cheapest option.\"}",
    "tokens": {
      "promptTokenCount": 391,
      "candidatesTokenCount": 45,
      "totalTokenCount": 650,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 391
        }
      ],
      "thoughtsTokenCount": 214,
      "serviceTier": "standard"
    },
    "elapsed_ms": 2955,
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 25 · promotion-eligibility · Claude · B_generic

{
  "sequence_no": 25,
  "scenario_id": "promotion-eligibility",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "B_generic",
  "repetition": 1,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain one identical six-bottle pack at the lowest eligible delivered price.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $25. Do not enroll in a subscription.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"You are an existing customer at all three retailers, not a new customer.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"All offers are in stock and shipping is free.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer A: $22, no coupon needed.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer B: $26 regular price. An $8 coupon is available only to new customers.\"\n    },\n    {\n      \"id\": \"F9\",\n      \"text\": \"Offer C: $24 regular price, or $18 if you enroll in a subscription.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "93c2d17336f78686c11dad846507183fcfdc3c11348f8444af2d5dce7ec1cd81",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "```json\n{\n  \"action\": \"recommend\",\n  \"offer_id\": \"A\",\n  \"total_usd\": 22,\n  \"reason\": \"Offer A at $22 is the lowest eligible delivered price within the $25 budget, as Offer B's coupon is unavailable to existing customers and Offer C's subscription option is prohibited.\"\n}\n```",
    "tokens": {
      "input_tokens": 438,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 89,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 1182,
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": false,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 26 · promotion-eligibility · Claude · A_plain

{
  "sequence_no": 26,
  "scenario_id": "promotion-eligibility",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "A_plain",
  "repetition": 1,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain one identical six-bottle pack at the lowest eligible delivered price.\nF4: Hard delivered budget: $25. Do not enroll in a subscription.\nF5: You are an existing customer at all three retailers, not a new customer.\nF6: All offers are in stock and shipping is free.\nF7: Offer A: $22, no coupon needed.\nF8: Offer B: $26 regular price. An $8 coupon is available only to new customers.\nF9: Offer C: $24 regular price, or $18 if you enroll in a subscription.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "50db70b4020508a64683d9bf1c2e600b917c415f2f3a8691206ea21f3f93d7df",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"recommend\", \"offer_id\": \"A\", \"total_usd\": 22, \"reason\": \"Offer A at $22 is the lowest eligible delivered price within the $25 budget and does not require new customer status or subscription enrollment.\"}",
    "tokens": {
      "input_tokens": 272,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 61,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 883,
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 27 · promotion-eligibility · Claude · C_maidania

{
  "sequence_no": 27,
  "scenario_id": "promotion-eligibility",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "C_maidania",
  "repetition": 1,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain one identical six-bottle pack at the lowest eligible delivered price.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $25. Do not enroll in a subscription.\"\n      }\n    ],\n    \"shopper_context\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"You are an existing customer at all three retailers, not a new customer.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F6\",\n        \"text\": \"All offers are in stock and shipping is free.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer A: $22, no coupon needed.\"\n      },\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer B: $26 regular price. An $8 coupon is available only to new customers.\"\n      },\n      {\n        \"id\": \"F9\",\n        \"text\": \"Offer C: $24 regular price, or $18 if you enroll in a subscription.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "396f0f85498ca58a2d994c9da2285dfebbeb02a6436fbbcaf0d16e25d4b1aa98",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "```json\n{\n  \"action\": \"recommend\",\n  \"offer_id\": \"A\",\n  \"total_usd\": 22,\n  \"reason\": \"Offer A at $22 is the lowest eligible delivered price under the $25 budget without violating hard constraints.\"\n}\n```",
    "tokens": {
      "input_tokens": 508,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 71,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 906,
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": false,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 28 · pack-equivalence · OpenAI · C_maidania

{
  "sequence_no": 28,
  "scenario_id": "pack-equivalence",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "C_maidania",
  "repetition": 3,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain detergent for at least 120 loads from one retailer at the lowest delivered total. Extra loads are allowed.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $24.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"All detergents perform equally per load and all offers are in stock.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer C: one 150-load bottle at $24, with free shipping.\"\n      },\n      {\n        \"id\": \"F6\",\n        \"text\": \"Offer A: two 60-load bottles at $11 each, plus $3 shipping for the order.\"\n      },\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer B: three 40-load bottles at $7 each, plus $4 shipping for the order.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "dbf0da2cd622ae2284dd0999c676b52e3866e61d556c6f73ab17b6b8575e49c0",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"recommend\",\n  \"offer_id\": \"C\",\n  \"total_usd\": 24,\n  \"reason\": \"Offer C meets the minimum 120 loads and is within the $24 budget with free shipping.\"\n}",
    "tokens": {
      "input_tokens": 406,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 51,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 457
    },
    "elapsed_ms": 2108,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 29 · pack-equivalence · OpenAI · B_generic

{
  "sequence_no": 29,
  "scenario_id": "pack-equivalence",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "B_generic",
  "repetition": 3,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain detergent for at least 120 loads from one retailer at the lowest delivered total. Extra loads are allowed.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $24.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"All detergents perform equally per load and all offers are in stock.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer C: one 150-load bottle at $24, with free shipping.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Offer A: two 60-load bottles at $11 each, plus $3 shipping for the order.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer B: three 40-load bottles at $7 each, plus $4 shipping for the order.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "d0287b70e6dcc902bddb971df3540fad2b9f38c2655abafba9a4ff85a6dbae7a",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"recommend\",\n  \"offer_id\": \"A\",\n  \"total_usd\": 25,\n  \"reason\": \"Offer A delivers 120 loads for $25, the lowest total close to budget.\"\n}",
    "tokens": {
      "input_tokens": 361,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 49,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 410
    },
    "elapsed_ms": 1489,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": false,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": false,
    "arithmetic": true
  }
}

Trial 30 · pack-equivalence · OpenAI · A_plain

{
  "sequence_no": 30,
  "scenario_id": "pack-equivalence",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "A_plain",
  "repetition": 3,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain detergent for at least 120 loads from one retailer at the lowest delivered total. Extra loads are allowed.\nF4: Hard delivered budget: $24.\nF5: All detergents perform equally per load and all offers are in stock.\nF8: Offer C: one 150-load bottle at $24, with free shipping.\nF6: Offer A: two 60-load bottles at $11 each, plus $3 shipping for the order.\nF7: Offer B: three 40-load bottles at $7 each, plus $4 shipping for the order.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "164816cf2605cb06fe3dede4985c51af53c54b43d3ecebacf005a3e27b58556c",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\":\"recommend\",\"offer_id\":\"C\",\"total_usd\":24,\"reason\":\"Offer C provides at least 120 loads with free shipping for exactly $24, meeting the budget and load requirements.\"}",
    "tokens": {
      "input_tokens": 239,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 43,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 282
    },
    "elapsed_ms": 851,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 31 · substitution-boundary · OpenAI · C_maidania

{
  "sequence_no": 31,
  "scenario_id": "substitution-boundary",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "C_maidania",
  "repetition": 1,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain one bottle of unscented detergent. Choose the lowest delivered price among eligible offers.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Unscented is mandatory. Hard delivered budget: $15. Only in-stock offers qualify.\"\n      }\n    ],\n    \"preferences\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"Alpha is preferred, but Beta is an acceptable substitute. Brand preference cannot override the hard constraints.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F6\",\n        \"text\": \"Shipping is free for all offers. If no offer meets every hard constraint, report no_offer.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer A: Alpha scented detergent, $12, in stock.\"\n      },\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer B: Beta unscented detergent, $16, in stock.\"\n      },\n      {\n        \"id\": \"F9\",\n        \"text\": \"Offer C: Alpha unscented detergent, $14, out of stock.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "a742bb961dc991dc155a6a1d4160e80d657fac8a4dd0df460fbd3f5ffb443b73",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"no_offer\",\n  \"offer_id\": null,\n  \"total_usd\": null,\n  \"reason\": \"No unscented detergent is both in stock and within the $15 budget.\"\n}",
    "tokens": {
      "input_tokens": 448,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 47,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 495
    },
    "elapsed_ms": 1128,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 32 · substitution-boundary · OpenAI · B_generic

{
  "sequence_no": 32,
  "scenario_id": "substitution-boundary",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "B_generic",
  "repetition": 1,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain one bottle of unscented detergent. Choose the lowest delivered price among eligible offers.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Unscented is mandatory. Hard delivered budget: $15. Only in-stock offers qualify.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"Alpha is preferred, but Beta is an acceptable substitute. Brand preference cannot override the hard constraints.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Shipping is free for all offers. If no offer meets every hard constraint, report no_offer.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer A: Alpha scented detergent, $12, in stock.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer B: Beta unscented detergent, $16, in stock.\"\n    },\n    {\n      \"id\": \"F9\",\n      \"text\": \"Offer C: Alpha unscented detergent, $14, out of stock.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "db47d5c1cced039852e400a6a5ccc77d298193c4b782b5e7189979023ddbc351",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"no_offer\",\n  \"offer_id\": null,\n  \"total_usd\": null,\n  \"reason\": \"No unscented detergent is in stock within the $15 budget.\"\n}",
    "tokens": {
      "input_tokens": 396,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 45,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 441
    },
    "elapsed_ms": 1722,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 33 · substitution-boundary · OpenAI · A_plain

{
  "sequence_no": 33,
  "scenario_id": "substitution-boundary",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "A_plain",
  "repetition": 1,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain one bottle of unscented detergent. Choose the lowest delivered price among eligible offers.\nF4: Unscented is mandatory. Hard delivered budget: $15. Only in-stock offers qualify.\nF5: Alpha is preferred, but Beta is an acceptable substitute. Brand preference cannot override the hard constraints.\nF6: Shipping is free for all offers. If no offer meets every hard constraint, report no_offer.\nF7: Offer A: Alpha scented detergent, $12, in stock.\nF8: Offer B: Beta unscented detergent, $16, in stock.\nF9: Offer C: Alpha unscented detergent, $14, out of stock.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "d8812df0a1d84dba72246b81cc0b77eece06b82cee0eb34c32101411e408510b",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\":\"no_offer\",\"offer_id\":null,\"total_usd\":null,\"reason\":\"No unscented detergent in stock within $15 budget.\"}",
    "tokens": {
      "input_tokens": 260,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 33,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 293
    },
    "elapsed_ms": 953,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 34 · substitution-boundary · OpenAI · B_generic

{
  "sequence_no": 34,
  "scenario_id": "substitution-boundary",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "B_generic",
  "repetition": 2,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain one bottle of unscented detergent. Choose the lowest delivered price among eligible offers.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Unscented is mandatory. Hard delivered budget: $15. Only in-stock offers qualify.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"Alpha is preferred, but Beta is an acceptable substitute. Brand preference cannot override the hard constraints.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Shipping is free for all offers. If no offer meets every hard constraint, report no_offer.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer B: Beta unscented detergent, $16, in stock.\"\n    },\n    {\n      \"id\": \"F9\",\n      \"text\": \"Offer C: Alpha unscented detergent, $14, out of stock.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer A: Alpha scented detergent, $12, in stock.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "5d6e083c47e49f66c15af1d4bcdc13795df3ea038ce52719d5e4821dbc5d88e2",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"no_offer\",\n  \"offer_id\": null,\n  \"total_usd\": null,\n  \"reason\": \"No unscented detergent is in stock within the $15 budget.\"\n}",
    "tokens": {
      "input_tokens": 396,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 45,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 441
    },
    "elapsed_ms": 987,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 35 · substitution-boundary · OpenAI · C_maidania

{
  "sequence_no": 35,
  "scenario_id": "substitution-boundary",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "C_maidania",
  "repetition": 2,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain one bottle of unscented detergent. Choose the lowest delivered price among eligible offers.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Unscented is mandatory. Hard delivered budget: $15. Only in-stock offers qualify.\"\n      }\n    ],\n    \"preferences\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"Alpha is preferred, but Beta is an acceptable substitute. Brand preference cannot override the hard constraints.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F6\",\n        \"text\": \"Shipping is free for all offers. If no offer meets every hard constraint, report no_offer.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer B: Beta unscented detergent, $16, in stock.\"\n      },\n      {\n        \"id\": \"F9\",\n        \"text\": \"Offer C: Alpha unscented detergent, $14, out of stock.\"\n      },\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer A: Alpha scented detergent, $12, in stock.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "24b93b9e45b1fb14e6dc46ca4c8eff08d82d6f04f0f260396720c46859865c93",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"no_offer\",\n  \"offer_id\": null,\n  \"total_usd\": null,\n  \"reason\": \"No unscented detergent in stock under $15.\"\n}",
    "tokens": {
      "input_tokens": 448,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 42,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 490
    },
    "elapsed_ms": 1656,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 36 · substitution-boundary · OpenAI · A_plain

{
  "sequence_no": 36,
  "scenario_id": "substitution-boundary",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "A_plain",
  "repetition": 2,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain one bottle of unscented detergent. Choose the lowest delivered price among eligible offers.\nF4: Unscented is mandatory. Hard delivered budget: $15. Only in-stock offers qualify.\nF5: Alpha is preferred, but Beta is an acceptable substitute. Brand preference cannot override the hard constraints.\nF6: Shipping is free for all offers. If no offer meets every hard constraint, report no_offer.\nF8: Offer B: Beta unscented detergent, $16, in stock.\nF9: Offer C: Alpha unscented detergent, $14, out of stock.\nF7: Offer A: Alpha scented detergent, $12, in stock.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "fe4f706e0680ffb13686935bb2781c5bcb6f7064b6cea6707e4d31ac99a45f5a",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\":\"no_offer\",\"offer_id\":null,\"total_usd\":null,\"reason\":\"No unscented detergent is in stock within the $15 budget.\"}",
    "tokens": {
      "input_tokens": 260,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 35,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 295
    },
    "elapsed_ms": 1195,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 37 · substitution-boundary · OpenAI · C_maidania

{
  "sequence_no": 37,
  "scenario_id": "substitution-boundary",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "C_maidania",
  "repetition": 3,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain one bottle of unscented detergent. Choose the lowest delivered price among eligible offers.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Unscented is mandatory. Hard delivered budget: $15. Only in-stock offers qualify.\"\n      }\n    ],\n    \"preferences\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"Alpha is preferred, but Beta is an acceptable substitute. Brand preference cannot override the hard constraints.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F6\",\n        \"text\": \"Shipping is free for all offers. If no offer meets every hard constraint, report no_offer.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F9\",\n        \"text\": \"Offer C: Alpha unscented detergent, $14, out of stock.\"\n      },\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer A: Alpha scented detergent, $12, in stock.\"\n      },\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer B: Beta unscented detergent, $16, in stock.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "abe3a94055743a3cff5f28e1915b671200127affa9d361aba33bb2e43b47f1b6",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"no_offer\",\n  \"offer_id\": null,\n  \"total_usd\": null,\n  \"reason\": \"No unscented detergent in stock within the $15 budget.\"\n}",
    "tokens": {
      "input_tokens": 448,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 44,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 492
    },
    "elapsed_ms": 1697,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 38 · substitution-boundary · OpenAI · B_generic

{
  "sequence_no": 38,
  "scenario_id": "substitution-boundary",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "B_generic",
  "repetition": 3,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain one bottle of unscented detergent. Choose the lowest delivered price among eligible offers.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Unscented is mandatory. Hard delivered budget: $15. Only in-stock offers qualify.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"Alpha is preferred, but Beta is an acceptable substitute. Brand preference cannot override the hard constraints.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Shipping is free for all offers. If no offer meets every hard constraint, report no_offer.\"\n    },\n    {\n      \"id\": \"F9\",\n      \"text\": \"Offer C: Alpha unscented detergent, $14, out of stock.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer A: Alpha scented detergent, $12, in stock.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer B: Beta unscented detergent, $16, in stock.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "0c66a9e2777b8139c10950d006e069d8a0684dd4f084f9b6407181f2a0387ce2",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"no_offer\",\n  \"offer_id\": null,\n  \"total_usd\": null,\n  \"reason\": \"No unscented detergent is both in stock and within the $15 budget.\"\n}",
    "tokens": {
      "input_tokens": 396,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 47,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 443
    },
    "elapsed_ms": 1562,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 39 · substitution-boundary · OpenAI · A_plain

{
  "sequence_no": 39,
  "scenario_id": "substitution-boundary",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "A_plain",
  "repetition": 3,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain one bottle of unscented detergent. Choose the lowest delivered price among eligible offers.\nF4: Unscented is mandatory. Hard delivered budget: $15. Only in-stock offers qualify.\nF5: Alpha is preferred, but Beta is an acceptable substitute. Brand preference cannot override the hard constraints.\nF6: Shipping is free for all offers. If no offer meets every hard constraint, report no_offer.\nF9: Offer C: Alpha unscented detergent, $14, out of stock.\nF7: Offer A: Alpha scented detergent, $12, in stock.\nF8: Offer B: Beta unscented detergent, $16, in stock.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "8a2c4f67f165d1d00c59a0bae4ffd9aa71086f22c87f47acb4151dc358f5123e",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\":\"no_offer\",\"offer_id\":null,\"total_usd\":null,\"reason\":\"No unscented detergent in stock under $15.\"}",
    "tokens": {
      "input_tokens": 260,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 32,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 292
    },
    "elapsed_ms": 749,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 40 · substitution-boundary · Gemini · A_plain

{
  "sequence_no": 40,
  "scenario_id": "substitution-boundary",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "A_plain",
  "repetition": 2,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain one bottle of unscented detergent. Choose the lowest delivered price among eligible offers.\nF4: Unscented is mandatory. Hard delivered budget: $15. Only in-stock offers qualify.\nF5: Alpha is preferred, but Beta is an acceptable substitute. Brand preference cannot override the hard constraints.\nF6: Shipping is free for all offers. If no offer meets every hard constraint, report no_offer.\nF8: Offer B: Beta unscented detergent, $16, in stock.\nF9: Offer C: Alpha unscented detergent, $14, out of stock.\nF7: Offer A: Alpha scented detergent, $12, in stock.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "fe4f706e0680ffb13686935bb2781c5bcb6f7064b6cea6707e4d31ac99a45f5a",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"no_offer\", \"offer_id\": null, \"total_usd\": null, \"reason\": \"No in-stock unscented detergent meets the $15 budget constraint.\"}",
    "tokens": {
      "promptTokenCount": 270,
      "candidatesTokenCount": 42,
      "totalTokenCount": 555,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 270
        }
      ],
      "thoughtsTokenCount": 243,
      "serviceTier": "standard"
    },
    "elapsed_ms": 2940,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 41 · substitution-boundary · Gemini · B_generic

{
  "sequence_no": 41,
  "scenario_id": "substitution-boundary",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "B_generic",
  "repetition": 2,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain one bottle of unscented detergent. Choose the lowest delivered price among eligible offers.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Unscented is mandatory. Hard delivered budget: $15. Only in-stock offers qualify.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"Alpha is preferred, but Beta is an acceptable substitute. Brand preference cannot override the hard constraints.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Shipping is free for all offers. If no offer meets every hard constraint, report no_offer.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer B: Beta unscented detergent, $16, in stock.\"\n    },\n    {\n      \"id\": \"F9\",\n      \"text\": \"Offer C: Alpha unscented detergent, $14, out of stock.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer A: Alpha scented detergent, $12, in stock.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "5d6e083c47e49f66c15af1d4bcdc13795df3ea038ce52719d5e4821dbc5d88e2",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"no_offer\", \"offer_id\": null, \"total_usd\": null, \"reason\": \"No in-stock unscented detergent meets the $15 budget constraint.\"}",
    "tokens": {
      "promptTokenCount": 437,
      "candidatesTokenCount": 42,
      "totalTokenCount": 579,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 437
        }
      ],
      "thoughtsTokenCount": 100,
      "serviceTier": "standard"
    },
    "elapsed_ms": 2309,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 42 · substitution-boundary · Gemini · C_maidania

{
  "sequence_no": 42,
  "scenario_id": "substitution-boundary",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "C_maidania",
  "repetition": 2,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain one bottle of unscented detergent. Choose the lowest delivered price among eligible offers.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Unscented is mandatory. Hard delivered budget: $15. Only in-stock offers qualify.\"\n      }\n    ],\n    \"preferences\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"Alpha is preferred, but Beta is an acceptable substitute. Brand preference cannot override the hard constraints.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F6\",\n        \"text\": \"Shipping is free for all offers. If no offer meets every hard constraint, report no_offer.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer B: Beta unscented detergent, $16, in stock.\"\n      },\n      {\n        \"id\": \"F9\",\n        \"text\": \"Offer C: Alpha unscented detergent, $14, out of stock.\"\n      },\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer A: Alpha scented detergent, $12, in stock.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "24b93b9e45b1fb14e6dc46ca4c8eff08d82d6f04f0f260396720c46859865c93",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"no_offer\", \"offer_id\": null, \"total_usd\": null, \"reason\": \"No in-stock unscented detergent offer meets the $15 budget constraint.\"}",
    "tokens": {
      "promptTokenCount": 504,
      "candidatesTokenCount": 43,
      "totalTokenCount": 741,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 504
        }
      ],
      "thoughtsTokenCount": 194,
      "serviceTier": "standard"
    },
    "elapsed_ms": 2907,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 43 · promotion-eligibility · OpenAI · A_plain

{
  "sequence_no": 43,
  "scenario_id": "promotion-eligibility",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "A_plain",
  "repetition": 2,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain one identical six-bottle pack at the lowest eligible delivered price.\nF4: Hard delivered budget: $25. Do not enroll in a subscription.\nF5: You are an existing customer at all three retailers, not a new customer.\nF6: All offers are in stock and shipping is free.\nF8: Offer B: $26 regular price. An $8 coupon is available only to new customers.\nF9: Offer C: $24 regular price, or $18 if you enroll in a subscription.\nF7: Offer A: $22, no coupon needed.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "b4d767c6e01be28b73d18030089c97ec4d0beda70ee75b75f8d851e5175fa94f",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\":\"recommend\",\"offer_id\":\"A\",\"total_usd\":22,\"reason\":\"Offer A is the only option under the $25 budget without requiring a new customer coupon or subscription.\"}",
    "tokens": {
      "input_tokens": 241,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 40,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 281
    },
    "elapsed_ms": 1777,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 44 · promotion-eligibility · OpenAI · C_maidania

{
  "sequence_no": 44,
  "scenario_id": "promotion-eligibility",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "C_maidania",
  "repetition": 2,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain one identical six-bottle pack at the lowest eligible delivered price.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $25. Do not enroll in a subscription.\"\n      }\n    ],\n    \"shopper_context\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"You are an existing customer at all three retailers, not a new customer.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F6\",\n        \"text\": \"All offers are in stock and shipping is free.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer B: $26 regular price. An $8 coupon is available only to new customers.\"\n      },\n      {\n        \"id\": \"F9\",\n        \"text\": \"Offer C: $24 regular price, or $18 if you enroll in a subscription.\"\n      },\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer A: $22, no coupon needed.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "991f5eed0ee277b741c821eea405e8f580add786d21d23f5ad9812081f0e60f8",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"recommend\",\n  \"offer_id\": \"A\",\n  \"total_usd\": 22,\n  \"reason\": \"Offer A is the only one under the $25 budget without subscription or new customer restrictions.\"\n}",
    "tokens": {
      "input_tokens": 431,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 50,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 481
    },
    "elapsed_ms": 1095,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 45 · promotion-eligibility · OpenAI · B_generic

{
  "sequence_no": 45,
  "scenario_id": "promotion-eligibility",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "B_generic",
  "repetition": 2,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain one identical six-bottle pack at the lowest eligible delivered price.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $25. Do not enroll in a subscription.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"You are an existing customer at all three retailers, not a new customer.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"All offers are in stock and shipping is free.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer B: $26 regular price. An $8 coupon is available only to new customers.\"\n    },\n    {\n      \"id\": \"F9\",\n      \"text\": \"Offer C: $24 regular price, or $18 if you enroll in a subscription.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer A: $22, no coupon needed.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "a281587a3adf5e30dfadabb7933f0d68cb07fe43dc2182aecc63678cf3b77052",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"recommend\",\n  \"offer_id\": \"A\",\n  \"total_usd\": 22,\n  \"reason\": \"Offer A is $22 with no coupon needed and no subscription required, fitting the $25 budget.\"\n}",
    "tokens": {
      "input_tokens": 377,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 52,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 429
    },
    "elapsed_ms": 848,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 46 · missing-shipping · OpenAI · C_maidania

{
  "sequence_no": 46,
  "scenario_id": "missing-shipping",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "C_maidania",
  "repetition": 3,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain one identical detergent pack at the lowest delivered price.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $25.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"Both offers are in stock. Offer A shipping is nonnegative but otherwise unknown. Do not assume a missing fee is zero.\"\n      }\n    ],\n    \"uncertainty\": [\n      {\n        \"id\": \"F6\",\n        \"text\": \"Do not make a final selection until the lowest delivered total can be established. Ask for the missing shipping charge if it changes which offer is cheapest.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer A: $20 before shipping; shipping charge is not supplied.\"\n      },\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer B: $25 with free shipping.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "94f52d2d851253814b7704d3a4bcdd59f5a082cb901e37605515d9354bfc5522",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"clarify\",\n  \"offer_id\": null,\n  \"total_usd\": null,\n  \"reason\": \"Shipping cost for Offer A is missing and needed to determine the lowest delivered price.\"\n}",
    "tokens": {
      "input_tokens": 409,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 47,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 456
    },
    "elapsed_ms": 855,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 47 · missing-shipping · OpenAI · A_plain

{
  "sequence_no": 47,
  "scenario_id": "missing-shipping",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "A_plain",
  "repetition": 3,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain one identical detergent pack at the lowest delivered price.\nF4: Hard delivered budget: $25.\nF5: Both offers are in stock. Offer A shipping is nonnegative but otherwise unknown. Do not assume a missing fee is zero.\nF6: Do not make a final selection until the lowest delivered total can be established. Ask for the missing shipping charge if it changes which offer is cheapest.\nF7: Offer A: $20 before shipping; shipping charge is not supplied.\nF8: Offer B: $25 with free shipping.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "eef258bad6cb6e58add994c6f7a38b88432729f229da310954848bb223fe55be",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\":\"clarify\",\"offer_id\":null,\"total_usd\":null,\"reason\":\"Need shipping charge for Offer A to determine the lowest delivered price.\"}",
    "tokens": {
      "input_tokens": 233,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 34,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 267
    },
    "elapsed_ms": 1090,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 48 · missing-shipping · OpenAI · B_generic

{
  "sequence_no": 48,
  "scenario_id": "missing-shipping",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "B_generic",
  "repetition": 3,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain one identical detergent pack at the lowest delivered price.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $25.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"Both offers are in stock. Offer A shipping is nonnegative but otherwise unknown. Do not assume a missing fee is zero.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Do not make a final selection until the lowest delivered total can be established. Ask for the missing shipping charge if it changes which offer is cheapest.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer A: $20 before shipping; shipping charge is not supplied.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer B: $25 with free shipping.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "8e03fb885f95e36b6352a725ca264bf51ea30fa244b10b198ae9c2f691c1329c",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"clarify\",\n  \"offer_id\": null,\n  \"total_usd\": null,\n  \"reason\": \"Need shipping charge for Offer A to determine the lowest delivered total.\"\n}",
    "tokens": {
      "input_tokens": 355,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 44,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 399
    },
    "elapsed_ms": 1519,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 49 · promotion-eligibility · Gemini · A_plain

{
  "sequence_no": 49,
  "scenario_id": "promotion-eligibility",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "A_plain",
  "repetition": 3,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain one identical six-bottle pack at the lowest eligible delivered price.\nF4: Hard delivered budget: $25. Do not enroll in a subscription.\nF5: You are an existing customer at all three retailers, not a new customer.\nF6: All offers are in stock and shipping is free.\nF9: Offer C: $24 regular price, or $18 if you enroll in a subscription.\nF7: Offer A: $22, no coupon needed.\nF8: Offer B: $26 regular price. An $8 coupon is available only to new customers.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "177357e536fbabd101ccfee4147e1382d4b13d19270bb667c66d0c4025e02472",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"recommend\", \"offer_id\": \"A\", \"total_usd\": 22, \"reason\": \"Offer A meets the budget without requiring a subscription and is the lowest eligible price.\"}",
    "tokens": {
      "promptTokenCount": 253,
      "candidatesTokenCount": 44,
      "totalTokenCount": 483,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 253
        }
      ],
      "thoughtsTokenCount": 186,
      "serviceTier": "standard"
    },
    "elapsed_ms": 2879,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 50 · promotion-eligibility · Gemini · C_maidania

{
  "sequence_no": 50,
  "scenario_id": "promotion-eligibility",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "C_maidania",
  "repetition": 3,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain one identical six-bottle pack at the lowest eligible delivered price.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $25. Do not enroll in a subscription.\"\n      }\n    ],\n    \"shopper_context\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"You are an existing customer at all three retailers, not a new customer.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F6\",\n        \"text\": \"All offers are in stock and shipping is free.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F9\",\n        \"text\": \"Offer C: $24 regular price, or $18 if you enroll in a subscription.\"\n      },\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer A: $22, no coupon needed.\"\n      },\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer B: $26 regular price. An $8 coupon is available only to new customers.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "bd3e5fe0cbd7781a2eb1649c8662a6db8e8609b2303dfbaa3a14189ee5418930",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"recommend\", \"offer_id\": \"A\", \"total_usd\": 22, \"reason\": \"Offer A meets the budget without requiring a subscription and offers the lowest eligible price.\"}",
    "tokens": {
      "promptTokenCount": 490,
      "candidatesTokenCount": 44,
      "totalTokenCount": 781,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 490
        }
      ],
      "thoughtsTokenCount": 247,
      "serviceTier": "standard"
    },
    "elapsed_ms": 6612,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 51 · promotion-eligibility · Gemini · B_generic

{
  "sequence_no": 51,
  "scenario_id": "promotion-eligibility",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "B_generic",
  "repetition": 3,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain one identical six-bottle pack at the lowest eligible delivered price.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $25. Do not enroll in a subscription.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"You are an existing customer at all three retailers, not a new customer.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"All offers are in stock and shipping is free.\"\n    },\n    {\n      \"id\": \"F9\",\n      \"text\": \"Offer C: $24 regular price, or $18 if you enroll in a subscription.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer A: $22, no coupon needed.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer B: $26 regular price. An $8 coupon is available only to new customers.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "9270551a64e751062ea9206eca20a8ba13d2da5ca4ea08ffa0cd06056318eacd",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"recommend\", \"offer_id\": \"A\", \"total_usd\": 22, \"reason\": \"Offer A meets the budget without requiring a subscription and provides the lowest eligible price of $22.\"}",
    "tokens": {
      "promptTokenCount": 420,
      "candidatesTokenCount": 48,
      "totalTokenCount": 665,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 420
        }
      ],
      "thoughtsTokenCount": 197,
      "serviceTier": "standard"
    },
    "elapsed_ms": 2391,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 52 · delivered-price · Gemini · C_maidania

{
  "sequence_no": 52,
  "scenario_id": "delivered-price",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "C_maidania",
  "repetition": 1,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain exactly six identical detergent bottles from one retailer at the lowest delivered total.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $30.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"All listed offers are in stock.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F6\",\n        \"text\": \"Offer A: six single bottles at $4.80 each, plus $4 shipping for the order.\"\n      },\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer B: one six-bottle pack for $29, with free shipping.\"\n      },\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer C: three two-bottle packs at $8 each, plus $7 shipping for the order.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "61c22fe9313b45294969e87a0bb3922e0233e05595e40831e93f06739a2dc289",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"recommend\", \"offer_id\": \"B\", \"total_usd\": 29, \"reason\": \"Offer B delivers exactly six bottles for $29 with free shipping, which is the only option within the $30 budget.\"}",
    "tokens": {
      "promptTokenCount": 442,
      "candidatesTokenCount": 54,
      "totalTokenCount": 621,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 442
        }
      ],
      "thoughtsTokenCount": 125,
      "serviceTier": "standard"
    },
    "elapsed_ms": 2240,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 53 · delivered-price · Gemini · A_plain

{
  "sequence_no": 53,
  "scenario_id": "delivered-price",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "A_plain",
  "repetition": 1,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain exactly six identical detergent bottles from one retailer at the lowest delivered total.\nF4: Hard delivered budget: $30.\nF5: All listed offers are in stock.\nF6: Offer A: six single bottles at $4.80 each, plus $4 shipping for the order.\nF7: Offer B: one six-bottle pack for $29, with free shipping.\nF8: Offer C: three two-bottle packs at $8 each, plus $7 shipping for the order.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "70567378371a0d351b475ae046971fcabc119229af38cfeadeee2987d0bf0e14",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"recommend\", \"offer_id\": \"B\", \"total_usd\": 29, \"reason\": \"Offer B provides exactly six bottles for a delivered total of $29, which is within the $30 budget.\"}",
    "tokens": {
      "promptTokenCount": 234,
      "candidatesTokenCount": 52,
      "totalTokenCount": 445,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 234
        }
      ],
      "thoughtsTokenCount": 159,
      "serviceTier": "standard"
    },
    "elapsed_ms": 3162,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 54 · delivered-price · Gemini · B_generic

{
  "sequence_no": 54,
  "scenario_id": "delivered-price",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "B_generic",
  "repetition": 1,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain exactly six identical detergent bottles from one retailer at the lowest delivered total.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $30.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"All listed offers are in stock.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Offer A: six single bottles at $4.80 each, plus $4 shipping for the order.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer B: one six-bottle pack for $29, with free shipping.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer C: three two-bottle packs at $8 each, plus $7 shipping for the order.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "54cb7cf004c41ced69a0103ed77cd8e233c23f55315dd4d8ace99bcabea5e63e",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"recommend\", \"offer_id\": \"B\", \"total_usd\": 29, \"reason\": \"Offer B delivers exactly six bottles for $29, which is the only option within the $30 budget.\"}",
    "tokens": {
      "promptTokenCount": 384,
      "candidatesTokenCount": 51,
      "totalTokenCount": 601,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 384
        }
      ],
      "thoughtsTokenCount": 166,
      "serviceTier": "standard"
    },
    "elapsed_ms": 2652,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 55 · pack-equivalence · Gemini · C_maidania

{
  "sequence_no": 55,
  "scenario_id": "pack-equivalence",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "C_maidania",
  "repetition": 3,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain detergent for at least 120 loads from one retailer at the lowest delivered total. Extra loads are allowed.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $24.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"All detergents perform equally per load and all offers are in stock.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer C: one 150-load bottle at $24, with free shipping.\"\n      },\n      {\n        \"id\": \"F6\",\n        \"text\": \"Offer A: two 60-load bottles at $11 each, plus $3 shipping for the order.\"\n      },\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer B: three 40-load bottles at $7 each, plus $4 shipping for the order.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "dbf0da2cd622ae2284dd0999c676b52e3866e61d556c6f73ab17b6b8575e49c0",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"recommend\", \"offer_id\": \"C\", \"total_usd\": 24, \"reason\": \"Offer C provides at least 120 loads for $24 delivered, which is the only offer within the budget.\"}",
    "tokens": {
      "promptTokenCount": 464,
      "candidatesTokenCount": 53,
      "totalTokenCount": 685,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 464
        }
      ],
      "thoughtsTokenCount": 168,
      "serviceTier": "standard"
    },
    "elapsed_ms": 2000,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 56 · pack-equivalence · Gemini · A_plain

{
  "sequence_no": 56,
  "scenario_id": "pack-equivalence",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "A_plain",
  "repetition": 3,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain detergent for at least 120 loads from one retailer at the lowest delivered total. Extra loads are allowed.\nF4: Hard delivered budget: $24.\nF5: All detergents perform equally per load and all offers are in stock.\nF8: Offer C: one 150-load bottle at $24, with free shipping.\nF6: Offer A: two 60-load bottles at $11 each, plus $3 shipping for the order.\nF7: Offer B: three 40-load bottles at $7 each, plus $4 shipping for the order.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "164816cf2605cb06fe3dede4985c51af53c54b43d3ecebacf005a3e27b58556c",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"recommend\", \"offer_id\": \"C\", \"total_usd\": 24, \"reason\": \"Offer C provides 150 loads for a delivered total of $24, which meets the 120-load requirement within the budget.\"}",
    "tokens": {
      "promptTokenCount": 256,
      "candidatesTokenCount": 59,
      "totalTokenCount": 501,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 256
        }
      ],
      "thoughtsTokenCount": 186,
      "serviceTier": "standard"
    },
    "elapsed_ms": 3305,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 57 · pack-equivalence · Gemini · B_generic

{
  "sequence_no": 57,
  "scenario_id": "pack-equivalence",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "B_generic",
  "repetition": 3,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain detergent for at least 120 loads from one retailer at the lowest delivered total. Extra loads are allowed.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $24.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"All detergents perform equally per load and all offers are in stock.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer C: one 150-load bottle at $24, with free shipping.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Offer A: two 60-load bottles at $11 each, plus $3 shipping for the order.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer B: three 40-load bottles at $7 each, plus $4 shipping for the order.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "d0287b70e6dcc902bddb971df3540fad2b9f38c2655abafba9a4ff85a6dbae7a",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"recommend\", \"offer_id\": \"C\", \"total_usd\": 24, \"reason\": \"Offer C provides 150 loads for a delivered total of $24, which meets the load requirement and is the only offer within the $24 budget.\"}",
    "tokens": {
      "promptTokenCount": 406,
      "candidatesTokenCount": 62,
      "totalTokenCount": 747,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 406
        }
      ],
      "thoughtsTokenCount": 279,
      "serviceTier": "standard"
    },
    "elapsed_ms": 3070,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 58 · substitution-boundary · Gemini · B_generic

{
  "sequence_no": 58,
  "scenario_id": "substitution-boundary",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "B_generic",
  "repetition": 3,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain one bottle of unscented detergent. Choose the lowest delivered price among eligible offers.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Unscented is mandatory. Hard delivered budget: $15. Only in-stock offers qualify.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"Alpha is preferred, but Beta is an acceptable substitute. Brand preference cannot override the hard constraints.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Shipping is free for all offers. If no offer meets every hard constraint, report no_offer.\"\n    },\n    {\n      \"id\": \"F9\",\n      \"text\": \"Offer C: Alpha unscented detergent, $14, out of stock.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer A: Alpha scented detergent, $12, in stock.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer B: Beta unscented detergent, $16, in stock.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "0c66a9e2777b8139c10950d006e069d8a0684dd4f084f9b6407181f2a0387ce2",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"no_offer\", \"offer_id\": null, \"total_usd\": null, \"reason\": \"No in-stock unscented detergent offer meets the $15 budget constraint.\"}",
    "tokens": {
      "promptTokenCount": 437,
      "candidatesTokenCount": 43,
      "totalTokenCount": 658,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 437
        }
      ],
      "thoughtsTokenCount": 178,
      "serviceTier": "standard"
    },
    "elapsed_ms": 2709,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 59 · substitution-boundary · Gemini · A_plain

{
  "sequence_no": 59,
  "scenario_id": "substitution-boundary",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "A_plain",
  "repetition": 3,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain one bottle of unscented detergent. Choose the lowest delivered price among eligible offers.\nF4: Unscented is mandatory. Hard delivered budget: $15. Only in-stock offers qualify.\nF5: Alpha is preferred, but Beta is an acceptable substitute. Brand preference cannot override the hard constraints.\nF6: Shipping is free for all offers. If no offer meets every hard constraint, report no_offer.\nF9: Offer C: Alpha unscented detergent, $14, out of stock.\nF7: Offer A: Alpha scented detergent, $12, in stock.\nF8: Offer B: Beta unscented detergent, $16, in stock.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "8a2c4f67f165d1d00c59a0bae4ffd9aa71086f22c87f47acb4151dc358f5123e",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"no_offer\", \"offer_id\": null, \"total_usd\": null, \"reason\": \"No offer satisfies all hard constraints of being unscented, in stock, and under the $15 budget.\"}",
    "tokens": {
      "promptTokenCount": 270,
      "candidatesTokenCount": 49,
      "totalTokenCount": 490,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 270
        }
      ],
      "thoughtsTokenCount": 171,
      "serviceTier": "standard"
    },
    "elapsed_ms": 2513,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 60 · substitution-boundary · Gemini · C_maidania

{
  "sequence_no": 60,
  "scenario_id": "substitution-boundary",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "C_maidania",
  "repetition": 3,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain one bottle of unscented detergent. Choose the lowest delivered price among eligible offers.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Unscented is mandatory. Hard delivered budget: $15. Only in-stock offers qualify.\"\n      }\n    ],\n    \"preferences\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"Alpha is preferred, but Beta is an acceptable substitute. Brand preference cannot override the hard constraints.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F6\",\n        \"text\": \"Shipping is free for all offers. If no offer meets every hard constraint, report no_offer.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F9\",\n        \"text\": \"Offer C: Alpha unscented detergent, $14, out of stock.\"\n      },\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer A: Alpha scented detergent, $12, in stock.\"\n      },\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer B: Beta unscented detergent, $16, in stock.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "abe3a94055743a3cff5f28e1915b671200127affa9d361aba33bb2e43b47f1b6",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"no_offer\", \"offer_id\": null, \"total_usd\": null, \"reason\": \"No offer meets all hard constraints of being unscented, in stock, and at or under the $15 budget.\"}",
    "tokens": {
      "promptTokenCount": 504,
      "candidatesTokenCount": 51,
      "totalTokenCount": 555,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 504
        }
      ],
      "serviceTier": "standard"
    },
    "elapsed_ms": 1732,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 61 · pack-equivalence · OpenAI · C_maidania

{
  "sequence_no": 61,
  "scenario_id": "pack-equivalence",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "C_maidania",
  "repetition": 1,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain detergent for at least 120 loads from one retailer at the lowest delivered total. Extra loads are allowed.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $24.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"All detergents perform equally per load and all offers are in stock.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F6\",\n        \"text\": \"Offer A: two 60-load bottles at $11 each, plus $3 shipping for the order.\"\n      },\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer B: three 40-load bottles at $7 each, plus $4 shipping for the order.\"\n      },\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer C: one 150-load bottle at $24, with free shipping.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "67e03400ed4c4f8dc3522ecbde2df82ee5ee3b39d41b6f0484b9abcb275084f8",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"recommend\",\n  \"offer_id\": \"C\",\n  \"total_usd\": 24,\n  \"reason\": \"Offer C meets the 120 loads requirement exactly at the $24 budget with free shipping.\"\n}",
    "tokens": {
      "input_tokens": 406,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 50,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 456
    },
    "elapsed_ms": 949,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 62 · pack-equivalence · OpenAI · B_generic

{
  "sequence_no": 62,
  "scenario_id": "pack-equivalence",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "B_generic",
  "repetition": 1,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain detergent for at least 120 loads from one retailer at the lowest delivered total. Extra loads are allowed.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $24.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"All detergents perform equally per load and all offers are in stock.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Offer A: two 60-load bottles at $11 each, plus $3 shipping for the order.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer B: three 40-load bottles at $7 each, plus $4 shipping for the order.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer C: one 150-load bottle at $24, with free shipping.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "de3bafb3900d39a47430ca6139ab694cada519072944c6d97e79636bd3195b5a",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"recommend\",\n  \"offer_id\": \"A\",\n  \"total_usd\": 25,\n  \"reason\": \"Offer A provides 120 loads at $25 total, meeting the load requirement with the lowest delivered price.\"\n}",
    "tokens": {
      "input_tokens": 361,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 53,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 414
    },
    "elapsed_ms": 867,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": false,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": false,
    "arithmetic": true
  }
}

Trial 63 · pack-equivalence · OpenAI · A_plain

{
  "sequence_no": 63,
  "scenario_id": "pack-equivalence",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "A_plain",
  "repetition": 1,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain detergent for at least 120 loads from one retailer at the lowest delivered total. Extra loads are allowed.\nF4: Hard delivered budget: $24.\nF5: All detergents perform equally per load and all offers are in stock.\nF6: Offer A: two 60-load bottles at $11 each, plus $3 shipping for the order.\nF7: Offer B: three 40-load bottles at $7 each, plus $4 shipping for the order.\nF8: Offer C: one 150-load bottle at $24, with free shipping.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "098684c21c81c84e7244be4080e253fca56a5c8b962bede9cf0052a50c67524d",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\":\"recommend\",\"offer_id\":\"C\",\"total_usd\":24,\"reason\":\"Offer C meets load requirement with free shipping at $24 total, the lowest within budget.\"}",
    "tokens": {
      "input_tokens": 239,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 38,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 277
    },
    "elapsed_ms": 971,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 64 · promotion-eligibility · Gemini · C_maidania

{
  "sequence_no": 64,
  "scenario_id": "promotion-eligibility",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "C_maidania",
  "repetition": 2,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain one identical six-bottle pack at the lowest eligible delivered price.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $25. Do not enroll in a subscription.\"\n      }\n    ],\n    \"shopper_context\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"You are an existing customer at all three retailers, not a new customer.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F6\",\n        \"text\": \"All offers are in stock and shipping is free.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer B: $26 regular price. An $8 coupon is available only to new customers.\"\n      },\n      {\n        \"id\": \"F9\",\n        \"text\": \"Offer C: $24 regular price, or $18 if you enroll in a subscription.\"\n      },\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer A: $22, no coupon needed.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "991f5eed0ee277b741c821eea405e8f580add786d21d23f5ad9812081f0e60f8",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"recommend\", \"offer_id\": \"A\", \"total_usd\": 22, \"reason\": \"Offer A meets all constraints and provides the lowest eligible delivered price at $22.\"}",
    "tokens": {
      "promptTokenCount": 490,
      "candidatesTokenCount": 45,
      "totalTokenCount": 744,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 490
        }
      ],
      "thoughtsTokenCount": 209,
      "serviceTier": "standard"
    },
    "elapsed_ms": 2665,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 65 · promotion-eligibility · Gemini · A_plain

{
  "sequence_no": 65,
  "scenario_id": "promotion-eligibility",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "A_plain",
  "repetition": 2,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain one identical six-bottle pack at the lowest eligible delivered price.\nF4: Hard delivered budget: $25. Do not enroll in a subscription.\nF5: You are an existing customer at all three retailers, not a new customer.\nF6: All offers are in stock and shipping is free.\nF8: Offer B: $26 regular price. An $8 coupon is available only to new customers.\nF9: Offer C: $24 regular price, or $18 if you enroll in a subscription.\nF7: Offer A: $22, no coupon needed.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "b4d767c6e01be28b73d18030089c97ec4d0beda70ee75b75f8d851e5175fa94f",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"recommend\", \"offer_id\": \"A\", \"total_usd\": 22, \"reason\": \"Offer A provides the lowest eligible price within budget without requiring a subscription or new customer status.\"}",
    "tokens": {
      "promptTokenCount": 253,
      "candidatesTokenCount": 46,
      "totalTokenCount": 569,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 253
        }
      ],
      "thoughtsTokenCount": 270,
      "serviceTier": "standard"
    },
    "elapsed_ms": 2780,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 66 · promotion-eligibility · Gemini · B_generic

{
  "sequence_no": 66,
  "scenario_id": "promotion-eligibility",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "B_generic",
  "repetition": 2,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain one identical six-bottle pack at the lowest eligible delivered price.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $25. Do not enroll in a subscription.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"You are an existing customer at all three retailers, not a new customer.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"All offers are in stock and shipping is free.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer B: $26 regular price. An $8 coupon is available only to new customers.\"\n    },\n    {\n      \"id\": \"F9\",\n      \"text\": \"Offer C: $24 regular price, or $18 if you enroll in a subscription.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer A: $22, no coupon needed.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "a281587a3adf5e30dfadabb7933f0d68cb07fe43dc2182aecc63678cf3b77052",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"recommend\", \"offer_id\": \"A\", \"total_usd\": 22, \"reason\": \"Offer A provides the lowest eligible delivered price of $22 within the $25 budget without requiring a subscription.\"}",
    "tokens": {
      "promptTokenCount": 420,
      "candidatesTokenCount": 51,
      "totalTokenCount": 643,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 420
        }
      ],
      "thoughtsTokenCount": 172,
      "serviceTier": "standard"
    },
    "elapsed_ms": 3043,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 67 · pack-equivalence · Claude · A_plain

{
  "sequence_no": 67,
  "scenario_id": "pack-equivalence",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "A_plain",
  "repetition": 3,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain detergent for at least 120 loads from one retailer at the lowest delivered total. Extra loads are allowed.\nF4: Hard delivered budget: $24.\nF5: All detergents perform equally per load and all offers are in stock.\nF8: Offer C: one 150-load bottle at $24, with free shipping.\nF6: Offer A: two 60-load bottles at $11 each, plus $3 shipping for the order.\nF7: Offer B: three 40-load bottles at $7 each, plus $4 shipping for the order.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "164816cf2605cb06fe3dede4985c51af53c54b43d3ecebacf005a3e27b58556c",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"recommend\", \"offer_id\": \"C\", \"total_usd\": 24, \"reason\": \"Offer C provides 150 loads at $24 delivered, meeting the 120-load minimum within budget at the lowest total cost.\"}",
    "tokens": {
      "input_tokens": 273,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 60,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 1317,
    "termination": {
      "provider_status": null,
      "stop_reason": "end_turn",
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 68 · pack-equivalence · Claude · C_maidania

{
  "sequence_no": 68,
  "scenario_id": "pack-equivalence",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "C_maidania",
  "repetition": 3,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain detergent for at least 120 loads from one retailer at the lowest delivered total. Extra loads are allowed.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $24.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"All detergents perform equally per load and all offers are in stock.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer C: one 150-load bottle at $24, with free shipping.\"\n      },\n      {\n        \"id\": \"F6\",\n        \"text\": \"Offer A: two 60-load bottles at $11 each, plus $3 shipping for the order.\"\n      },\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer B: three 40-load bottles at $7 each, plus $4 shipping for the order.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "dbf0da2cd622ae2284dd0999c676b52e3866e61d556c6f73ab17b6b8575e49c0",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "```json\n{\n  \"action\": \"recommend\",\n  \"offer_id\": \"C\",\n  \"total_usd\": 24,\n  \"reason\": \"Offer C delivers 150 loads at $24 total, meeting the 120-load requirement at exactly the budget limit and lowest cost.\"\n}\n```",
    "tokens": {
      "input_tokens": 480,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 76,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 1157,
    "termination": {
      "provider_status": null,
      "stop_reason": "end_turn",
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": false,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 69 · pack-equivalence · Claude · B_generic

{
  "sequence_no": 69,
  "scenario_id": "pack-equivalence",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "B_generic",
  "repetition": 3,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain detergent for at least 120 loads from one retailer at the lowest delivered total. Extra loads are allowed.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $24.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"All detergents perform equally per load and all offers are in stock.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer C: one 150-load bottle at $24, with free shipping.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Offer A: two 60-load bottles at $11 each, plus $3 shipping for the order.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer B: three 40-load bottles at $7 each, plus $4 shipping for the order.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "d0287b70e6dcc902bddb971df3540fad2b9f38c2655abafba9a4ff85a6dbae7a",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "```json\n{\n  \"action\": \"recommend\",\n  \"offer_id\": \"C\",\n  \"total_usd\": 24,\n  \"reason\": \"Offer C provides 150 loads at $24 delivered, meeting the 120-load requirement at the lowest total cost within budget.\"\n}\n```",
    "tokens": {
      "input_tokens": 422,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 75,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 1069,
    "termination": {
      "provider_status": null,
      "stop_reason": "end_turn",
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": false,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 70 · missing-shipping · Gemini · B_generic

{
  "sequence_no": 70,
  "scenario_id": "missing-shipping",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "B_generic",
  "repetition": 2,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain one identical detergent pack at the lowest delivered price.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $25.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"Both offers are in stock. Offer A shipping is nonnegative but otherwise unknown. Do not assume a missing fee is zero.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Do not make a final selection until the lowest delivered total can be established. Ask for the missing shipping charge if it changes which offer is cheapest.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer B: $25 with free shipping.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer A: $20 before shipping; shipping charge is not supplied.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "ca55d7b14a4a47bf4e6a6cc76b7979eddbcc415dcb03f1de28a93e8f89555629",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"clarify\", \"offer_id\": null, \"total_usd\": null, \"reason\": \"Offer A's unknown shipping charge determines whether it is cheaper than Offer B.\"}",
    "tokens": {
      "promptTokenCount": 391,
      "candidatesTokenCount": 42,
      "totalTokenCount": 675,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 391
        }
      ],
      "thoughtsTokenCount": 242,
      "serviceTier": "standard"
    },
    "elapsed_ms": 2653,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 71 · missing-shipping · Gemini · C_maidania

{
  "sequence_no": 71,
  "scenario_id": "missing-shipping",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "C_maidania",
  "repetition": 2,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain one identical detergent pack at the lowest delivered price.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $25.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"Both offers are in stock. Offer A shipping is nonnegative but otherwise unknown. Do not assume a missing fee is zero.\"\n      }\n    ],\n    \"uncertainty\": [\n      {\n        \"id\": \"F6\",\n        \"text\": \"Do not make a final selection until the lowest delivered total can be established. Ask for the missing shipping charge if it changes which offer is cheapest.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer B: $25 with free shipping.\"\n      },\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer A: $20 before shipping; shipping charge is not supplied.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "6a302c997867382544e0aaba0e4bc0fe6f13a67c86cbafd273fd052810791143",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"clarify\", \"offer_id\": null, \"total_usd\": null, \"reason\": \"The missing shipping charge for Offer A determines whether Offer A or Offer B is the cheaper option.\"}",
    "tokens": {
      "promptTokenCount": 459,
      "candidatesTokenCount": 45,
      "totalTokenCount": 746,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 459
        }
      ],
      "thoughtsTokenCount": 242,
      "serviceTier": "standard"
    },
    "elapsed_ms": 3511,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 72 · missing-shipping · Gemini · A_plain

{
  "sequence_no": 72,
  "scenario_id": "missing-shipping",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "A_plain",
  "repetition": 2,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain one identical detergent pack at the lowest delivered price.\nF4: Hard delivered budget: $25.\nF5: Both offers are in stock. Offer A shipping is nonnegative but otherwise unknown. Do not assume a missing fee is zero.\nF6: Do not make a final selection until the lowest delivered total can be established. Ask for the missing shipping charge if it changes which offer is cheapest.\nF8: Offer B: $25 with free shipping.\nF7: Offer A: $20 before shipping; shipping charge is not supplied.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "0c507c76425cc6176c0d5a8d17f6daf1e3636672e880b92eca8aff40c799c254",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"clarify\", \"offer_id\": null, \"total_usd\": null, \"reason\": \"Offer A's unknown shipping charge must be provided to determine whether it or Offer B has the lowest delivered price.\"}",
    "tokens": {
      "promptTokenCount": 241,
      "candidatesTokenCount": 49,
      "totalTokenCount": 601,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 241
        }
      ],
      "thoughtsTokenCount": 311,
      "serviceTier": "standard"
    },
    "elapsed_ms": 3156,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 73 · substitution-boundary · Claude · A_plain

{
  "sequence_no": 73,
  "scenario_id": "substitution-boundary",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "A_plain",
  "repetition": 3,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain one bottle of unscented detergent. Choose the lowest delivered price among eligible offers.\nF4: Unscented is mandatory. Hard delivered budget: $15. Only in-stock offers qualify.\nF5: Alpha is preferred, but Beta is an acceptable substitute. Brand preference cannot override the hard constraints.\nF6: Shipping is free for all offers. If no offer meets every hard constraint, report no_offer.\nF9: Offer C: Alpha unscented detergent, $14, out of stock.\nF7: Offer A: Alpha scented detergent, $12, in stock.\nF8: Offer B: Beta unscented detergent, $16, in stock.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "8a2c4f67f165d1d00c59a0bae4ffd9aa71086f22c87f47acb4151dc358f5123e",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"no_offer\", \"offer_id\": null, \"total_usd\": null, \"reason\": \"Offer C (Alpha unscented, $14) is out of stock, Offer B (Beta unscented, $16) exceeds the $15 budget, and Offer A is scented rather than unscented as required.\"}",
    "tokens": {
      "input_tokens": 296,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 83,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 1220,
    "termination": {
      "provider_status": null,
      "stop_reason": "end_turn",
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 74 · substitution-boundary · Claude · B_generic

{
  "sequence_no": 74,
  "scenario_id": "substitution-boundary",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "B_generic",
  "repetition": 3,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain one bottle of unscented detergent. Choose the lowest delivered price among eligible offers.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Unscented is mandatory. Hard delivered budget: $15. Only in-stock offers qualify.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"Alpha is preferred, but Beta is an acceptable substitute. Brand preference cannot override the hard constraints.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Shipping is free for all offers. If no offer meets every hard constraint, report no_offer.\"\n    },\n    {\n      \"id\": \"F9\",\n      \"text\": \"Offer C: Alpha unscented detergent, $14, out of stock.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer A: Alpha scented detergent, $12, in stock.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer B: Beta unscented detergent, $16, in stock.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "0c66a9e2777b8139c10950d006e069d8a0684dd4f084f9b6407181f2a0387ce2",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "```json\n{\n  \"action\": \"no_offer\",\n  \"offer_id\": null,\n  \"total_usd\": null,\n  \"reason\": \"Offer C is out of stock, Offer A is scented (not unscented), and Offer B exceeds the $15 hard budget limit at $16.\"\n}\n```",
    "tokens": {
      "input_tokens": 462,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 83,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 1106,
    "termination": {
      "provider_status": null,
      "stop_reason": "end_turn",
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": false,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 75 · substitution-boundary · Claude · C_maidania

{
  "sequence_no": 75,
  "scenario_id": "substitution-boundary",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "C_maidania",
  "repetition": 3,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain one bottle of unscented detergent. Choose the lowest delivered price among eligible offers.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Unscented is mandatory. Hard delivered budget: $15. Only in-stock offers qualify.\"\n      }\n    ],\n    \"preferences\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"Alpha is preferred, but Beta is an acceptable substitute. Brand preference cannot override the hard constraints.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F6\",\n        \"text\": \"Shipping is free for all offers. If no offer meets every hard constraint, report no_offer.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F9\",\n        \"text\": \"Offer C: Alpha unscented detergent, $14, out of stock.\"\n      },\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer A: Alpha scented detergent, $12, in stock.\"\n      },\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer B: Beta unscented detergent, $16, in stock.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "abe3a94055743a3cff5f28e1915b671200127affa9d361aba33bb2e43b47f1b6",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"no_offer\",\n  \"offer_id\": null,\n  \"total_usd\": null,\n  \"reason\": \"Offer C is out of stock, Offer A is scented (not unscented), and Offer B exceeds the $15 budget at $16.\"\n}",
    "tokens": {
      "input_tokens": 529,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 76,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 1022,
    "termination": {
      "provider_status": null,
      "stop_reason": "end_turn",
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 76 · missing-shipping · Claude · C_maidania

{
  "sequence_no": 76,
  "scenario_id": "missing-shipping",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "C_maidania",
  "repetition": 3,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain one identical detergent pack at the lowest delivered price.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $25.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"Both offers are in stock. Offer A shipping is nonnegative but otherwise unknown. Do not assume a missing fee is zero.\"\n      }\n    ],\n    \"uncertainty\": [\n      {\n        \"id\": \"F6\",\n        \"text\": \"Do not make a final selection until the lowest delivered total can be established. Ask for the missing shipping charge if it changes which offer is cheapest.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer A: $20 before shipping; shipping charge is not supplied.\"\n      },\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer B: $25 with free shipping.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "94f52d2d851253814b7704d3a4bcdd59f5a082cb901e37605515d9354bfc5522",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "```json\n{\n  \"action\": \"clarify\",\n  \"offer_id\": null,\n  \"total_usd\": null,\n  \"reason\": \"Offer A's shipping charge is unknown; cannot determine lowest delivered price without it.\"\n}\n```",
    "tokens": {
      "input_tokens": 478,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 62,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 991,
    "termination": {
      "provider_status": null,
      "stop_reason": "end_turn",
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": false,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 77 · missing-shipping · Claude · A_plain

{
  "sequence_no": 77,
  "scenario_id": "missing-shipping",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "A_plain",
  "repetition": 3,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain one identical detergent pack at the lowest delivered price.\nF4: Hard delivered budget: $25.\nF5: Both offers are in stock. Offer A shipping is nonnegative but otherwise unknown. Do not assume a missing fee is zero.\nF6: Do not make a final selection until the lowest delivered total can be established. Ask for the missing shipping charge if it changes which offer is cheapest.\nF7: Offer A: $20 before shipping; shipping charge is not supplied.\nF8: Offer B: $25 with free shipping.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "eef258bad6cb6e58add994c6f7a38b88432729f229da310954848bb223fe55be",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "```json\n{\n  \"action\": \"clarify\",\n  \"offer_id\": null,\n  \"total_usd\": null,\n  \"reason\": \"Offer A's shipping charge is unknown; without it, I cannot confirm which offer has the lowest delivered price.\"\n}\n```",
    "tokens": {
      "input_tokens": 262,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 68,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 922,
    "termination": {
      "provider_status": null,
      "stop_reason": "end_turn",
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": false,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 78 · missing-shipping · Claude · B_generic

{
  "sequence_no": 78,
  "scenario_id": "missing-shipping",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "B_generic",
  "repetition": 3,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain one identical detergent pack at the lowest delivered price.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $25.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"Both offers are in stock. Offer A shipping is nonnegative but otherwise unknown. Do not assume a missing fee is zero.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Do not make a final selection until the lowest delivered total can be established. Ask for the missing shipping charge if it changes which offer is cheapest.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer A: $20 before shipping; shipping charge is not supplied.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer B: $25 with free shipping.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "8e03fb885f95e36b6352a725ca264bf51ea30fa244b10b198ae9c2f691c1329c",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "```json\n{\n  \"action\": \"clarify\",\n  \"offer_id\": null,\n  \"total_usd\": null,\n  \"reason\": \"Offer A's shipping charge is not supplied; requesting it to determine the lowest delivered price.\"\n}\n```",
    "tokens": {
      "input_tokens": 411,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 64,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 1023,
    "termination": {
      "provider_status": null,
      "stop_reason": "end_turn",
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": false,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 79 · delivered-price · OpenAI · C_maidania

{
  "sequence_no": 79,
  "scenario_id": "delivered-price",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "C_maidania",
  "repetition": 1,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain exactly six identical detergent bottles from one retailer at the lowest delivered total.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $30.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"All listed offers are in stock.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F6\",\n        \"text\": \"Offer A: six single bottles at $4.80 each, plus $4 shipping for the order.\"\n      },\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer B: one six-bottle pack for $29, with free shipping.\"\n      },\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer C: three two-bottle packs at $8 each, plus $7 shipping for the order.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "61c22fe9313b45294969e87a0bb3922e0233e05595e40831e93f06739a2dc289",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"recommend\",\n  \"offer_id\": \"B\",\n  \"total_usd\": 29,\n  \"reason\": \"Offer B provides six bottles for $29 with free shipping, staying within the $30 budget.\"\n}",
    "tokens": {
      "input_tokens": 392,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 51,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 443
    },
    "elapsed_ms": 837,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 80 · delivered-price · OpenAI · B_generic

{
  "sequence_no": 80,
  "scenario_id": "delivered-price",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "B_generic",
  "repetition": 1,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain exactly six identical detergent bottles from one retailer at the lowest delivered total.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $30.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"All listed offers are in stock.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Offer A: six single bottles at $4.80 each, plus $4 shipping for the order.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer B: one six-bottle pack for $29, with free shipping.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer C: three two-bottle packs at $8 each, plus $7 shipping for the order.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "54cb7cf004c41ced69a0103ed77cd8e233c23f55315dd4d8ace99bcabea5e63e",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"recommend\",\n  \"offer_id\": \"B\",\n  \"total_usd\": 29,\n  \"reason\": \"Offer B is the only option with a total under the $30 budget including free shipping.\"\n}",
    "tokens": {
      "input_tokens": 347,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 50,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 397
    },
    "elapsed_ms": 1069,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 81 · delivered-price · OpenAI · A_plain

{
  "sequence_no": 81,
  "scenario_id": "delivered-price",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "A_plain",
  "repetition": 1,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain exactly six identical detergent bottles from one retailer at the lowest delivered total.\nF4: Hard delivered budget: $30.\nF5: All listed offers are in stock.\nF6: Offer A: six single bottles at $4.80 each, plus $4 shipping for the order.\nF7: Offer B: one six-bottle pack for $29, with free shipping.\nF8: Offer C: three two-bottle packs at $8 each, plus $7 shipping for the order.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "70567378371a0d351b475ae046971fcabc119229af38cfeadeee2987d0bf0e14",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"recommend\",\n  \"offer_id\": \"A\",\n  \"total_usd\": 33.6,\n  \"reason\": \"Offer A is the cheapest option for six single bottles but exceeds the $30 budget.\"\n}",
    "tokens": {
      "input_tokens": 225,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 51,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 276
    },
    "elapsed_ms": 779,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": false,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": false,
    "arithmetic": false
  }
}

Trial 82 · promotion-eligibility · Gemini · A_plain

{
  "sequence_no": 82,
  "scenario_id": "promotion-eligibility",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "A_plain",
  "repetition": 1,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain one identical six-bottle pack at the lowest eligible delivered price.\nF4: Hard delivered budget: $25. Do not enroll in a subscription.\nF5: You are an existing customer at all three retailers, not a new customer.\nF6: All offers are in stock and shipping is free.\nF7: Offer A: $22, no coupon needed.\nF8: Offer B: $26 regular price. An $8 coupon is available only to new customers.\nF9: Offer C: $24 regular price, or $18 if you enroll in a subscription.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "50db70b4020508a64683d9bf1c2e600b917c415f2f3a8691206ea21f3f93d7df",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"recommend\", \"offer_id\": \"A\", \"total_usd\": 22, \"reason\": \"Offer A provides the lowest eligible delivered price within budget without requiring a subscription or new customer status.\"}",
    "tokens": {
      "promptTokenCount": 253,
      "candidatesTokenCount": 47,
      "totalTokenCount": 504,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 253
        }
      ],
      "thoughtsTokenCount": 204,
      "serviceTier": "standard"
    },
    "elapsed_ms": 2404,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 83 · promotion-eligibility · Gemini · C_maidania

{
  "sequence_no": 83,
  "scenario_id": "promotion-eligibility",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "C_maidania",
  "repetition": 1,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain one identical six-bottle pack at the lowest eligible delivered price.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $25. Do not enroll in a subscription.\"\n      }\n    ],\n    \"shopper_context\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"You are an existing customer at all three retailers, not a new customer.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F6\",\n        \"text\": \"All offers are in stock and shipping is free.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer A: $22, no coupon needed.\"\n      },\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer B: $26 regular price. An $8 coupon is available only to new customers.\"\n      },\n      {\n        \"id\": \"F9\",\n        \"text\": \"Offer C: $24 regular price, or $18 if you enroll in a subscription.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "396f0f85498ca58a2d994c9da2285dfebbeb02a6436fbbcaf0d16e25d4b1aa98",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"recommend\", \"offer_id\": \"A\", \"total_usd\": 22, \"reason\": \"Offer A provides the lowest eligible delivered price within the $25 budget without requiring a subscription or new customer discount.\"}",
    "tokens": {
      "promptTokenCount": 490,
      "candidatesTokenCount": 51,
      "totalTokenCount": 740,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 490
        }
      ],
      "thoughtsTokenCount": 199,
      "serviceTier": "standard"
    },
    "elapsed_ms": 5932,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 84 · promotion-eligibility · Gemini · B_generic

{
  "sequence_no": 84,
  "scenario_id": "promotion-eligibility",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "B_generic",
  "repetition": 1,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain one identical six-bottle pack at the lowest eligible delivered price.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $25. Do not enroll in a subscription.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"You are an existing customer at all three retailers, not a new customer.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"All offers are in stock and shipping is free.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer A: $22, no coupon needed.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer B: $26 regular price. An $8 coupon is available only to new customers.\"\n    },\n    {\n      \"id\": \"F9\",\n      \"text\": \"Offer C: $24 regular price, or $18 if you enroll in a subscription.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "93c2d17336f78686c11dad846507183fcfdc3c11348f8444af2d5dce7ec1cd81",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"recommend\", \"offer_id\": \"A\", \"total_usd\": 22, \"reason\": \"Offer A is the lowest-priced eligible option within the $25 budget without requiring a subscription.\"}",
    "tokens": {
      "promptTokenCount": 420,
      "candidatesTokenCount": 48,
      "totalTokenCount": 656,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 420
        }
      ],
      "thoughtsTokenCount": 188,
      "serviceTier": "standard"
    },
    "elapsed_ms": 2438,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 85 · delivered-price · Gemini · C_maidania

{
  "sequence_no": 85,
  "scenario_id": "delivered-price",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "C_maidania",
  "repetition": 3,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain exactly six identical detergent bottles from one retailer at the lowest delivered total.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $30.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"All listed offers are in stock.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer C: three two-bottle packs at $8 each, plus $7 shipping for the order.\"\n      },\n      {\n        \"id\": \"F6\",\n        \"text\": \"Offer A: six single bottles at $4.80 each, plus $4 shipping for the order.\"\n      },\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer B: one six-bottle pack for $29, with free shipping.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "e841e0606726bab0f4fc84263f86ca9c858c79282025fdf143f938b080058acd",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"recommend\", \"offer_id\": \"B\", \"total_usd\": 29, \"reason\": \"Offer B provides six bottles for a delivered total of $29, which is the only offer within the $30 budget.\"}",
    "tokens": {
      "promptTokenCount": 442,
      "candidatesTokenCount": 54,
      "totalTokenCount": 627,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 442
        }
      ],
      "thoughtsTokenCount": 131,
      "serviceTier": "standard"
    },
    "elapsed_ms": 1902,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 86 · delivered-price · Gemini · A_plain

{
  "sequence_no": 86,
  "scenario_id": "delivered-price",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "A_plain",
  "repetition": 3,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain exactly six identical detergent bottles from one retailer at the lowest delivered total.\nF4: Hard delivered budget: $30.\nF5: All listed offers are in stock.\nF8: Offer C: three two-bottle packs at $8 each, plus $7 shipping for the order.\nF6: Offer A: six single bottles at $4.80 each, plus $4 shipping for the order.\nF7: Offer B: one six-bottle pack for $29, with free shipping.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "b69f974293a4c473be53555b29c01b67723b7c97f9ff687abc4263844983c171",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"recommend\", \"offer_id\": \"B\", \"total_usd\": 29, \"reason\": \"Offer B is the only option within the $30 budget, providing six bottles for a delivered total of $29.\"}",
    "tokens": {
      "promptTokenCount": 234,
      "candidatesTokenCount": 53,
      "totalTokenCount": 511,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 234
        }
      ],
      "thoughtsTokenCount": 224,
      "serviceTier": "standard"
    },
    "elapsed_ms": 3213,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 87 · delivered-price · Gemini · B_generic

{
  "sequence_no": 87,
  "scenario_id": "delivered-price",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "B_generic",
  "repetition": 3,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain exactly six identical detergent bottles from one retailer at the lowest delivered total.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $30.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"All listed offers are in stock.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer C: three two-bottle packs at $8 each, plus $7 shipping for the order.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Offer A: six single bottles at $4.80 each, plus $4 shipping for the order.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer B: one six-bottle pack for $29, with free shipping.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "aa13480fe5559ad235fc087219b1ede855048b811c038a740e460457294b615b",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"recommend\", \"offer_id\": \"B\", \"total_usd\": 29, \"reason\": \"Offer B provides six bottles for $29 with free shipping, which is the only option within the $30 budget.\"}",
    "tokens": {
      "promptTokenCount": 384,
      "candidatesTokenCount": 53,
      "totalTokenCount": 629,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 384
        }
      ],
      "thoughtsTokenCount": 192,
      "serviceTier": "standard"
    },
    "elapsed_ms": 3041,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 88 · substitution-boundary · Claude · A_plain

{
  "sequence_no": 88,
  "scenario_id": "substitution-boundary",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "A_plain",
  "repetition": 1,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain one bottle of unscented detergent. Choose the lowest delivered price among eligible offers.\nF4: Unscented is mandatory. Hard delivered budget: $15. Only in-stock offers qualify.\nF5: Alpha is preferred, but Beta is an acceptable substitute. Brand preference cannot override the hard constraints.\nF6: Shipping is free for all offers. If no offer meets every hard constraint, report no_offer.\nF7: Offer A: Alpha scented detergent, $12, in stock.\nF8: Offer B: Beta unscented detergent, $16, in stock.\nF9: Offer C: Alpha unscented detergent, $14, out of stock.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "d8812df0a1d84dba72246b81cc0b77eece06b82cee0eb34c32101411e408510b",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"no_offer\", \"offer_id\": null, \"total_usd\": null, \"reason\": \"Offer A is scented (violates F3), Offer B exceeds budget at $16 (violates F4), and Offer C is out of stock (violates F4).\"}",
    "tokens": {
      "input_tokens": 296,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 73,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 1017,
    "termination": {
      "provider_status": null,
      "stop_reason": "end_turn",
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 89 · substitution-boundary · Claude · B_generic

{
  "sequence_no": 89,
  "scenario_id": "substitution-boundary",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "B_generic",
  "repetition": 1,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain one bottle of unscented detergent. Choose the lowest delivered price among eligible offers.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Unscented is mandatory. Hard delivered budget: $15. Only in-stock offers qualify.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"Alpha is preferred, but Beta is an acceptable substitute. Brand preference cannot override the hard constraints.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Shipping is free for all offers. If no offer meets every hard constraint, report no_offer.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer A: Alpha scented detergent, $12, in stock.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer B: Beta unscented detergent, $16, in stock.\"\n    },\n    {\n      \"id\": \"F9\",\n      \"text\": \"Offer C: Alpha unscented detergent, $14, out of stock.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "db47d5c1cced039852e400a6a5ccc77d298193c4b782b5e7189979023ddbc351",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "```json\n{\n  \"action\": \"no_offer\",\n  \"offer_id\": null,\n  \"total_usd\": null,\n  \"reason\": \"Offer A violates unscented requirement, Offer B exceeds $15 budget, and Offer C is out of stock.\"\n}\n```",
    "tokens": {
      "input_tokens": 462,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 75,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 936,
    "termination": {
      "provider_status": null,
      "stop_reason": "end_turn",
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": false,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 90 · substitution-boundary · Claude · C_maidania

{
  "sequence_no": 90,
  "scenario_id": "substitution-boundary",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "C_maidania",
  "repetition": 1,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain one bottle of unscented detergent. Choose the lowest delivered price among eligible offers.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Unscented is mandatory. Hard delivered budget: $15. Only in-stock offers qualify.\"\n      }\n    ],\n    \"preferences\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"Alpha is preferred, but Beta is an acceptable substitute. Brand preference cannot override the hard constraints.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F6\",\n        \"text\": \"Shipping is free for all offers. If no offer meets every hard constraint, report no_offer.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer A: Alpha scented detergent, $12, in stock.\"\n      },\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer B: Beta unscented detergent, $16, in stock.\"\n      },\n      {\n        \"id\": \"F9\",\n        \"text\": \"Offer C: Alpha unscented detergent, $14, out of stock.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "a742bb961dc991dc155a6a1d4160e80d657fac8a4dd0df460fbd3f5ffb443b73",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"no_offer\",\n  \"offer_id\": null,\n  \"total_usd\": null,\n  \"reason\": \"Offer A violates unscented requirement, Offer B exceeds $15 budget, Offer C is out of stock.\"\n}",
    "tokens": {
      "input_tokens": 529,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 69,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 973,
    "termination": {
      "provider_status": null,
      "stop_reason": "end_turn",
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 91 · substitution-boundary · Gemini · B_generic

{
  "sequence_no": 91,
  "scenario_id": "substitution-boundary",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "B_generic",
  "repetition": 1,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain one bottle of unscented detergent. Choose the lowest delivered price among eligible offers.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Unscented is mandatory. Hard delivered budget: $15. Only in-stock offers qualify.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"Alpha is preferred, but Beta is an acceptable substitute. Brand preference cannot override the hard constraints.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Shipping is free for all offers. If no offer meets every hard constraint, report no_offer.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer A: Alpha scented detergent, $12, in stock.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer B: Beta unscented detergent, $16, in stock.\"\n    },\n    {\n      \"id\": \"F9\",\n      \"text\": \"Offer C: Alpha unscented detergent, $14, out of stock.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "db47d5c1cced039852e400a6a5ccc77d298193c4b782b5e7189979023ddbc351",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"no_offer\", \"offer_id\": null, \"total_usd\": null, \"reason\": \"No available offer meets all hard constraints of being unscented, within the $15 budget, and in stock.\"}",
    "tokens": {
      "promptTokenCount": 437,
      "candidatesTokenCount": 50,
      "totalTokenCount": 675,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 437
        }
      ],
      "thoughtsTokenCount": 188,
      "serviceTier": "standard"
    },
    "elapsed_ms": 2548,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 92 · substitution-boundary · Gemini · A_plain

{
  "sequence_no": 92,
  "scenario_id": "substitution-boundary",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "A_plain",
  "repetition": 1,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain one bottle of unscented detergent. Choose the lowest delivered price among eligible offers.\nF4: Unscented is mandatory. Hard delivered budget: $15. Only in-stock offers qualify.\nF5: Alpha is preferred, but Beta is an acceptable substitute. Brand preference cannot override the hard constraints.\nF6: Shipping is free for all offers. If no offer meets every hard constraint, report no_offer.\nF7: Offer A: Alpha scented detergent, $12, in stock.\nF8: Offer B: Beta unscented detergent, $16, in stock.\nF9: Offer C: Alpha unscented detergent, $14, out of stock.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "d8812df0a1d84dba72246b81cc0b77eece06b82cee0eb34c32101411e408510b",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"no_offer\", \"offer_id\": null, \"total_usd\": null, \"reason\": \"No in-stock unscented detergent offer meets the hard $15 budget constraint.\"}",
    "tokens": {
      "promptTokenCount": 270,
      "candidatesTokenCount": 44,
      "totalTokenCount": 480,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 270
        }
      ],
      "thoughtsTokenCount": 166,
      "serviceTier": "standard"
    },
    "elapsed_ms": 3474,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 93 · substitution-boundary · Gemini · C_maidania

{
  "sequence_no": 93,
  "scenario_id": "substitution-boundary",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "C_maidania",
  "repetition": 1,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain one bottle of unscented detergent. Choose the lowest delivered price among eligible offers.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Unscented is mandatory. Hard delivered budget: $15. Only in-stock offers qualify.\"\n      }\n    ],\n    \"preferences\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"Alpha is preferred, but Beta is an acceptable substitute. Brand preference cannot override the hard constraints.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F6\",\n        \"text\": \"Shipping is free for all offers. If no offer meets every hard constraint, report no_offer.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer A: Alpha scented detergent, $12, in stock.\"\n      },\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer B: Beta unscented detergent, $16, in stock.\"\n      },\n      {\n        \"id\": \"F9\",\n        \"text\": \"Offer C: Alpha unscented detergent, $14, out of stock.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "a742bb961dc991dc155a6a1d4160e80d657fac8a4dd0df460fbd3f5ffb443b73",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"no_offer\", \"offer_id\": null, \"total_usd\": null, \"reason\": \"No offers meet all hard constraints of being unscented, in stock, and within the $15 budget.\"}",
    "tokens": {
      "promptTokenCount": 504,
      "candidatesTokenCount": 49,
      "totalTokenCount": 652,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 504
        }
      ],
      "thoughtsTokenCount": 99,
      "serviceTier": "standard"
    },
    "elapsed_ms": 3108,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 94 · missing-shipping · Claude · B_generic

{
  "sequence_no": 94,
  "scenario_id": "missing-shipping",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "B_generic",
  "repetition": 1,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain one identical detergent pack at the lowest delivered price.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $25.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"Both offers are in stock. Offer A shipping is nonnegative but otherwise unknown. Do not assume a missing fee is zero.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Do not make a final selection until the lowest delivered total can be established. Ask for the missing shipping charge if it changes which offer is cheapest.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer A: $20 before shipping; shipping charge is not supplied.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer B: $25 with free shipping.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "8e03fb885f95e36b6352a725ca264bf51ea30fa244b10b198ae9c2f691c1329c",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "```json\n{\n  \"action\": \"clarify\",\n  \"offer_id\": null,\n  \"total_usd\": null,\n  \"reason\": \"Offer A shipping charge is unknown; must be obtained to determine the lowest delivered price.\"\n}\n```",
    "tokens": {
      "input_tokens": 411,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 63,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 1025,
    "termination": {
      "provider_status": null,
      "stop_reason": "end_turn",
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": false,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 95 · missing-shipping · Claude · C_maidania

{
  "sequence_no": 95,
  "scenario_id": "missing-shipping",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "C_maidania",
  "repetition": 1,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain one identical detergent pack at the lowest delivered price.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $25.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"Both offers are in stock. Offer A shipping is nonnegative but otherwise unknown. Do not assume a missing fee is zero.\"\n      }\n    ],\n    \"uncertainty\": [\n      {\n        \"id\": \"F6\",\n        \"text\": \"Do not make a final selection until the lowest delivered total can be established. Ask for the missing shipping charge if it changes which offer is cheapest.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer A: $20 before shipping; shipping charge is not supplied.\"\n      },\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer B: $25 with free shipping.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "94f52d2d851253814b7704d3a4bcdd59f5a082cb901e37605515d9354bfc5522",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "```json\n{\n  \"action\": \"clarify\",\n  \"offer_id\": null,\n  \"total_usd\": null,\n  \"reason\": \"Offer A's shipping charge is unknown; if it exceeds $5, Offer B at $25 delivered is cheaper, but the missing fee must be confirmed to determine the lowest delivered price.\"\n}\n```",
    "tokens": {
      "input_tokens": 478,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 86,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 1317,
    "termination": {
      "provider_status": null,
      "stop_reason": "end_turn",
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": false,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 96 · missing-shipping · Claude · A_plain

{
  "sequence_no": 96,
  "scenario_id": "missing-shipping",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "A_plain",
  "repetition": 1,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain one identical detergent pack at the lowest delivered price.\nF4: Hard delivered budget: $25.\nF5: Both offers are in stock. Offer A shipping is nonnegative but otherwise unknown. Do not assume a missing fee is zero.\nF6: Do not make a final selection until the lowest delivered total can be established. Ask for the missing shipping charge if it changes which offer is cheapest.\nF7: Offer A: $20 before shipping; shipping charge is not supplied.\nF8: Offer B: $25 with free shipping.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "eef258bad6cb6e58add994c6f7a38b88432729f229da310954848bb223fe55be",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "```json\n{\n  \"action\": \"clarify\",\n  \"offer_id\": null,\n  \"total_usd\": null,\n  \"reason\": \"Offer A's shipping charge is not supplied; cannot determine lowest delivered price without it.\"\n}\n```",
    "tokens": {
      "input_tokens": 262,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 63,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 886,
    "termination": {
      "provider_status": null,
      "stop_reason": "end_turn",
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": false,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 97 · delivered-price · OpenAI · B_generic

{
  "sequence_no": 97,
  "scenario_id": "delivered-price",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "B_generic",
  "repetition": 2,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain exactly six identical detergent bottles from one retailer at the lowest delivered total.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $30.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"All listed offers are in stock.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer B: one six-bottle pack for $29, with free shipping.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer C: three two-bottle packs at $8 each, plus $7 shipping for the order.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Offer A: six single bottles at $4.80 each, plus $4 shipping for the order.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "6b0e8220458d1444dba70c8d993f959e092fa370cfd98556951a1f859692673e",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"recommend\",\n  \"offer_id\": \"B\",\n  \"total_usd\": 29,\n  \"reason\": \"Offer B is exactly six bottles for $29 with free shipping, within the $30 budget and lowest total cost.\"\n}",
    "tokens": {
      "input_tokens": 347,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 55,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 402
    },
    "elapsed_ms": 1155,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 98 · delivered-price · OpenAI · C_maidania

{
  "sequence_no": 98,
  "scenario_id": "delivered-price",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "C_maidania",
  "repetition": 2,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain exactly six identical detergent bottles from one retailer at the lowest delivered total.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $30.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"All listed offers are in stock.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer B: one six-bottle pack for $29, with free shipping.\"\n      },\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer C: three two-bottle packs at $8 each, plus $7 shipping for the order.\"\n      },\n      {\n        \"id\": \"F6\",\n        \"text\": \"Offer A: six single bottles at $4.80 each, plus $4 shipping for the order.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "97f98596e9fae840ebf7824f714da1b66e089e1d827c09203677697ab0fa13d9",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"recommend\",\n  \"offer_id\": \"B\",\n  \"total_usd\": 29,\n  \"reason\": \"Offer B meets the six bottle requirement and is under the $30 budget with free shipping.\"\n}",
    "tokens": {
      "input_tokens": 392,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 50,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 442
    },
    "elapsed_ms": 869,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 99 · delivered-price · OpenAI · A_plain

{
  "sequence_no": 99,
  "scenario_id": "delivered-price",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "A_plain",
  "repetition": 2,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain exactly six identical detergent bottles from one retailer at the lowest delivered total.\nF4: Hard delivered budget: $30.\nF5: All listed offers are in stock.\nF7: Offer B: one six-bottle pack for $29, with free shipping.\nF8: Offer C: three two-bottle packs at $8 each, plus $7 shipping for the order.\nF6: Offer A: six single bottles at $4.80 each, plus $4 shipping for the order.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "a76b775d33aaa5e742c232bc131da7543c276f355b74549d66602726ade37d9e",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"recommend\",\n  \"offer_id\": \"B\",\n  \"total_usd\": 29,\n  \"reason\": \"Offer B provides six bottles for $29 with free shipping, meeting the $30 budget.\"\n}",
    "tokens": {
      "input_tokens": 225,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 50,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 275
    },
    "elapsed_ms": 861,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 100 · missing-shipping · OpenAI · A_plain

{
  "sequence_no": 100,
  "scenario_id": "missing-shipping",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "A_plain",
  "repetition": 2,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain one identical detergent pack at the lowest delivered price.\nF4: Hard delivered budget: $25.\nF5: Both offers are in stock. Offer A shipping is nonnegative but otherwise unknown. Do not assume a missing fee is zero.\nF6: Do not make a final selection until the lowest delivered total can be established. Ask for the missing shipping charge if it changes which offer is cheapest.\nF8: Offer B: $25 with free shipping.\nF7: Offer A: $20 before shipping; shipping charge is not supplied.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "0c507c76425cc6176c0d5a8d17f6daf1e3636672e880b92eca8aff40c799c254",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\":\"clarify\",\"offer_id\":null,\"total_usd\":null,\"reason\":\"Need shipping cost for Offer A to determine lowest delivered price.\"}",
    "tokens": {
      "input_tokens": 233,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 33,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 266
    },
    "elapsed_ms": 1468,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 101 · missing-shipping · OpenAI · C_maidania

{
  "sequence_no": 101,
  "scenario_id": "missing-shipping",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "C_maidania",
  "repetition": 2,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain one identical detergent pack at the lowest delivered price.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $25.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"Both offers are in stock. Offer A shipping is nonnegative but otherwise unknown. Do not assume a missing fee is zero.\"\n      }\n    ],\n    \"uncertainty\": [\n      {\n        \"id\": \"F6\",\n        \"text\": \"Do not make a final selection until the lowest delivered total can be established. Ask for the missing shipping charge if it changes which offer is cheapest.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer B: $25 with free shipping.\"\n      },\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer A: $20 before shipping; shipping charge is not supplied.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "6a302c997867382544e0aaba0e4bc0fe6f13a67c86cbafd273fd052810791143",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"clarify\",\n  \"offer_id\": null,\n  \"total_usd\": null,\n  \"reason\": \"Shipping cost for Offer A is unknown and affects the total price comparison.\"\n}",
    "tokens": {
      "input_tokens": 409,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 45,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 454
    },
    "elapsed_ms": 967,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 102 · missing-shipping · OpenAI · B_generic

{
  "sequence_no": 102,
  "scenario_id": "missing-shipping",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "B_generic",
  "repetition": 2,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain one identical detergent pack at the lowest delivered price.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $25.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"Both offers are in stock. Offer A shipping is nonnegative but otherwise unknown. Do not assume a missing fee is zero.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Do not make a final selection until the lowest delivered total can be established. Ask for the missing shipping charge if it changes which offer is cheapest.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer B: $25 with free shipping.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer A: $20 before shipping; shipping charge is not supplied.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "ca55d7b14a4a47bf4e6a6cc76b7979eddbcc415dcb03f1de28a93e8f89555629",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"clarify\",\n  \"offer_id\": null,\n  \"total_usd\": null,\n  \"reason\": \"Shipping cost for Offer A is missing and needed to determine the lowest delivered price.\"\n}",
    "tokens": {
      "input_tokens": 355,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 47,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 402
    },
    "elapsed_ms": 831,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 103 · pack-equivalence · Gemini · B_generic

{
  "sequence_no": 103,
  "scenario_id": "pack-equivalence",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "B_generic",
  "repetition": 1,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain detergent for at least 120 loads from one retailer at the lowest delivered total. Extra loads are allowed.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $24.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"All detergents perform equally per load and all offers are in stock.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Offer A: two 60-load bottles at $11 each, plus $3 shipping for the order.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer B: three 40-load bottles at $7 each, plus $4 shipping for the order.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer C: one 150-load bottle at $24, with free shipping.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "de3bafb3900d39a47430ca6139ab694cada519072944c6d97e79636bd3195b5a",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"recommend\", \"offer_id\": \"C\", \"total_usd\": 24, \"reason\": \"Offer C meets the load requirement and fits within the $24 budget, while Offers A and B exceed the budget at $25.\"}",
    "tokens": {
      "promptTokenCount": 406,
      "candidatesTokenCount": 56,
      "totalTokenCount": 706,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 406
        }
      ],
      "thoughtsTokenCount": 244,
      "serviceTier": "standard"
    },
    "elapsed_ms": 2301,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 104 · pack-equivalence · Gemini · A_plain

{
  "sequence_no": 104,
  "scenario_id": "pack-equivalence",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "A_plain",
  "repetition": 1,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain detergent for at least 120 loads from one retailer at the lowest delivered total. Extra loads are allowed.\nF4: Hard delivered budget: $24.\nF5: All detergents perform equally per load and all offers are in stock.\nF6: Offer A: two 60-load bottles at $11 each, plus $3 shipping for the order.\nF7: Offer B: three 40-load bottles at $7 each, plus $4 shipping for the order.\nF8: Offer C: one 150-load bottle at $24, with free shipping.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "098684c21c81c84e7244be4080e253fca56a5c8b962bede9cf0052a50c67524d",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"recommend\", \"offer_id\": \"C\", \"total_usd\": 24, \"reason\": \"Offer C delivers at least 120 loads and is the only offer within the $24 budget.\"}",
    "tokens": {
      "promptTokenCount": 256,
      "candidatesTokenCount": 50,
      "totalTokenCount": 593,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 256
        }
      ],
      "thoughtsTokenCount": 287,
      "serviceTier": "standard"
    },
    "elapsed_ms": 3561,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 105 · pack-equivalence · Gemini · C_maidania

{
  "sequence_no": 105,
  "scenario_id": "pack-equivalence",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "C_maidania",
  "repetition": 1,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain detergent for at least 120 loads from one retailer at the lowest delivered total. Extra loads are allowed.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $24.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"All detergents perform equally per load and all offers are in stock.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F6\",\n        \"text\": \"Offer A: two 60-load bottles at $11 each, plus $3 shipping for the order.\"\n      },\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer B: three 40-load bottles at $7 each, plus $4 shipping for the order.\"\n      },\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer C: one 150-load bottle at $24, with free shipping.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "67e03400ed4c4f8dc3522ecbde2df82ee5ee3b39d41b6f0484b9abcb275084f8",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"recommend\", \"offer_id\": \"C\", \"total_usd\": 24, \"reason\": \"Offer C provides at least 120 loads within the $24 budget at the lowest delivered total.\"}",
    "tokens": {
      "promptTokenCount": 464,
      "candidatesTokenCount": 50,
      "totalTokenCount": 718,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 464
        }
      ],
      "thoughtsTokenCount": 204,
      "serviceTier": "standard"
    },
    "elapsed_ms": 2608,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 106 · pack-equivalence · Gemini · A_plain

{
  "sequence_no": 106,
  "scenario_id": "pack-equivalence",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "A_plain",
  "repetition": 2,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain detergent for at least 120 loads from one retailer at the lowest delivered total. Extra loads are allowed.\nF4: Hard delivered budget: $24.\nF5: All detergents perform equally per load and all offers are in stock.\nF7: Offer B: three 40-load bottles at $7 each, plus $4 shipping for the order.\nF8: Offer C: one 150-load bottle at $24, with free shipping.\nF6: Offer A: two 60-load bottles at $11 each, plus $3 shipping for the order.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "10f0084b78ba0ae978ccce8b0830af01a3262ae71d585e12efd4d18017808a20",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\":\"recommend\",\"offer_id\":\"C\",\"total_usd\":24,\"reason\":\"Offer C provides 150 loads for a delivered total of $24, which meets the 120-load minimum and does not exceed the $24 budget.\"}",
    "tokens": {
      "promptTokenCount": 256,
      "candidatesTokenCount": 58,
      "totalTokenCount": 484,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 256
        }
      ],
      "thoughtsTokenCount": 170,
      "serviceTier": "standard"
    },
    "elapsed_ms": 2475,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 107 · pack-equivalence · Gemini · C_maidania

{
  "sequence_no": 107,
  "scenario_id": "pack-equivalence",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "C_maidania",
  "repetition": 2,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain detergent for at least 120 loads from one retailer at the lowest delivered total. Extra loads are allowed.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $24.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"All detergents perform equally per load and all offers are in stock.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer B: three 40-load bottles at $7 each, plus $4 shipping for the order.\"\n      },\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer C: one 150-load bottle at $24, with free shipping.\"\n      },\n      {\n        \"id\": \"F6\",\n        \"text\": \"Offer A: two 60-load bottles at $11 each, plus $3 shipping for the order.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "2ac8c14f1be7a32c5fae06d83c3f80af203462de16f86e9b1472efdd72be6c27",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"recommend\", \"offer_id\": \"C\", \"total_usd\": 24, \"reason\": \"Offer C provides 150 loads for a delivered total of $24, meeting the load requirement within the $24 budget while Offers A and B both total $25.\"}",
    "tokens": {
      "promptTokenCount": 464,
      "candidatesTokenCount": 66,
      "totalTokenCount": 826,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 464
        }
      ],
      "thoughtsTokenCount": 296,
      "serviceTier": "standard"
    },
    "elapsed_ms": 3249,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 108 · pack-equivalence · Gemini · B_generic

{
  "sequence_no": 108,
  "scenario_id": "pack-equivalence",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "B_generic",
  "repetition": 2,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain detergent for at least 120 loads from one retailer at the lowest delivered total. Extra loads are allowed.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $24.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"All detergents perform equally per load and all offers are in stock.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer B: three 40-load bottles at $7 each, plus $4 shipping for the order.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer C: one 150-load bottle at $24, with free shipping.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Offer A: two 60-load bottles at $11 each, plus $3 shipping for the order.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "2c46aa96cec3f77fd09f4d4c9ec246ae4aa701531e60d731a1a92d7f19a45741",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"recommend\", \"offer_id\": \"C\", \"total_usd\": 24, \"reason\": \"Offer C provides at least 120 loads and is the only offer within the $24 budget.\"}",
    "tokens": {
      "promptTokenCount": 406,
      "candidatesTokenCount": 50,
      "totalTokenCount": 668,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 406
        }
      ],
      "thoughtsTokenCount": 212,
      "serviceTier": "standard"
    },
    "elapsed_ms": 2388,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 109 · delivered-price · OpenAI · C_maidania

{
  "sequence_no": 109,
  "scenario_id": "delivered-price",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "C_maidania",
  "repetition": 3,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain exactly six identical detergent bottles from one retailer at the lowest delivered total.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $30.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"All listed offers are in stock.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer C: three two-bottle packs at $8 each, plus $7 shipping for the order.\"\n      },\n      {\n        \"id\": \"F6\",\n        \"text\": \"Offer A: six single bottles at $4.80 each, plus $4 shipping for the order.\"\n      },\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer B: one six-bottle pack for $29, with free shipping.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "e841e0606726bab0f4fc84263f86ca9c858c79282025fdf143f938b080058acd",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"recommend\",\n  \"offer_id\": \"B\",\n  \"total_usd\": 29,\n  \"reason\": \"Offer B provides six bottles for $29 with free shipping, staying within the $30 budget.\"\n}",
    "tokens": {
      "input_tokens": 392,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 51,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 443
    },
    "elapsed_ms": 882,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 110 · delivered-price · OpenAI · B_generic

{
  "sequence_no": 110,
  "scenario_id": "delivered-price",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "B_generic",
  "repetition": 3,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain exactly six identical detergent bottles from one retailer at the lowest delivered total.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $30.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"All listed offers are in stock.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer C: three two-bottle packs at $8 each, plus $7 shipping for the order.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Offer A: six single bottles at $4.80 each, plus $4 shipping for the order.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer B: one six-bottle pack for $29, with free shipping.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "aa13480fe5559ad235fc087219b1ede855048b811c038a740e460457294b615b",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"recommend\",\n  \"offer_id\": \"A\",\n  \"total_usd\": 32.8,\n  \"reason\": \"Offer A has the lowest total price for six bottles but exceeds the $30 budget.\"\n}",
    "tokens": {
      "input_tokens": 347,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 51,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 398
    },
    "elapsed_ms": 734,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": false,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": false,
    "arithmetic": true
  }
}

Trial 111 · delivered-price · OpenAI · A_plain

{
  "sequence_no": 111,
  "scenario_id": "delivered-price",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "A_plain",
  "repetition": 3,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain exactly six identical detergent bottles from one retailer at the lowest delivered total.\nF4: Hard delivered budget: $30.\nF5: All listed offers are in stock.\nF8: Offer C: three two-bottle packs at $8 each, plus $7 shipping for the order.\nF6: Offer A: six single bottles at $4.80 each, plus $4 shipping for the order.\nF7: Offer B: one six-bottle pack for $29, with free shipping.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "b69f974293a4c473be53555b29c01b67723b7c97f9ff687abc4263844983c171",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\":\"recommend\",\"offer_id\":\"C\",\"total_usd\":31,\"reason\":\"Lowest total is $31, but it exceeds the $30 budget, so no valid option within budget.\"}",
    "tokens": {
      "input_tokens": 225,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 41,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 266
    },
    "elapsed_ms": 840,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": false,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": false,
    "arithmetic": true
  }
}

Trial 112 · pack-equivalence · OpenAI · B_generic

{
  "sequence_no": 112,
  "scenario_id": "pack-equivalence",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "B_generic",
  "repetition": 2,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain detergent for at least 120 loads from one retailer at the lowest delivered total. Extra loads are allowed.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $24.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"All detergents perform equally per load and all offers are in stock.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer B: three 40-load bottles at $7 each, plus $4 shipping for the order.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer C: one 150-load bottle at $24, with free shipping.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Offer A: two 60-load bottles at $11 each, plus $3 shipping for the order.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "2c46aa96cec3f77fd09f4d4c9ec246ae4aa701531e60d731a1a92d7f19a45741",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"recommend\",\n  \"offer_id\": \"C\",\n  \"total_usd\": 24,\n  \"reason\": \"Offer C meets the load requirement at the lowest total delivered price of $24 with free shipping.\"\n}",
    "tokens": {
      "input_tokens": 361,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 51,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 412
    },
    "elapsed_ms": 1833,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 113 · pack-equivalence · OpenAI · C_maidania

{
  "sequence_no": 113,
  "scenario_id": "pack-equivalence",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "C_maidania",
  "repetition": 2,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain detergent for at least 120 loads from one retailer at the lowest delivered total. Extra loads are allowed.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $24.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"All detergents perform equally per load and all offers are in stock.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer B: three 40-load bottles at $7 each, plus $4 shipping for the order.\"\n      },\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer C: one 150-load bottle at $24, with free shipping.\"\n      },\n      {\n        \"id\": \"F6\",\n        \"text\": \"Offer A: two 60-load bottles at $11 each, plus $3 shipping for the order.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "2ac8c14f1be7a32c5fae06d83c3f80af203462de16f86e9b1472efdd72be6c27",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"recommend\",\n  \"offer_id\": \"B\",\n  \"total_usd\": 25,\n  \"reason\": \"Offer B provides exactly 120 loads at $25 total, just over budget but no cheaper option meets load requirement.\"\n}",
    "tokens": {
      "input_tokens": 406,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 55,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 461
    },
    "elapsed_ms": 848,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": false,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": false,
    "arithmetic": true
  }
}

Trial 114 · pack-equivalence · OpenAI · A_plain

{
  "sequence_no": 114,
  "scenario_id": "pack-equivalence",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "A_plain",
  "repetition": 2,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain detergent for at least 120 loads from one retailer at the lowest delivered total. Extra loads are allowed.\nF4: Hard delivered budget: $24.\nF5: All detergents perform equally per load and all offers are in stock.\nF7: Offer B: three 40-load bottles at $7 each, plus $4 shipping for the order.\nF8: Offer C: one 150-load bottle at $24, with free shipping.\nF6: Offer A: two 60-load bottles at $11 each, plus $3 shipping for the order.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "10f0084b78ba0ae978ccce8b0830af01a3262ae71d585e12efd4d18017808a20",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\":\"recommend\",\"offer_id\":\"B\",\"total_usd\":25,\"reason\":\"Offer B provides at least 120 loads at the lowest cost but exceeds the $24 budget by $1, no valid offers under $24 exist.\"}",
    "tokens": {
      "input_tokens": 239,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 50,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 289
    },
    "elapsed_ms": 786,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": false,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": false,
    "arithmetic": true
  }
}

Trial 115 · substitution-boundary · Claude · B_generic

{
  "sequence_no": 115,
  "scenario_id": "substitution-boundary",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "B_generic",
  "repetition": 2,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain one bottle of unscented detergent. Choose the lowest delivered price among eligible offers.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Unscented is mandatory. Hard delivered budget: $15. Only in-stock offers qualify.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"Alpha is preferred, but Beta is an acceptable substitute. Brand preference cannot override the hard constraints.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Shipping is free for all offers. If no offer meets every hard constraint, report no_offer.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer B: Beta unscented detergent, $16, in stock.\"\n    },\n    {\n      \"id\": \"F9\",\n      \"text\": \"Offer C: Alpha unscented detergent, $14, out of stock.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer A: Alpha scented detergent, $12, in stock.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "5d6e083c47e49f66c15af1d4bcdc13795df3ea038ce52719d5e4821dbc5d88e2",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "```json\n{\n  \"action\": \"no_offer\",\n  \"offer_id\": null,\n  \"total_usd\": null,\n  \"reason\": \"Offer A is scented (violates mandatory unscented requirement), Offer B exceeds hard $15 budget at $16, and Offer C is out of stock (ineligible).\"\n}\n```",
    "tokens": {
      "input_tokens": 462,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 89,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 1412,
    "termination": {
      "provider_status": null,
      "stop_reason": "end_turn",
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": false,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 116 · substitution-boundary · Claude · A_plain

{
  "sequence_no": 116,
  "scenario_id": "substitution-boundary",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "A_plain",
  "repetition": 2,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain one bottle of unscented detergent. Choose the lowest delivered price among eligible offers.\nF4: Unscented is mandatory. Hard delivered budget: $15. Only in-stock offers qualify.\nF5: Alpha is preferred, but Beta is an acceptable substitute. Brand preference cannot override the hard constraints.\nF6: Shipping is free for all offers. If no offer meets every hard constraint, report no_offer.\nF8: Offer B: Beta unscented detergent, $16, in stock.\nF9: Offer C: Alpha unscented detergent, $14, out of stock.\nF7: Offer A: Alpha scented detergent, $12, in stock.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "fe4f706e0680ffb13686935bb2781c5bcb6f7064b6cea6707e4d31ac99a45f5a",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"no_offer\", \"offer_id\": null, \"total_usd\": null, \"reason\": \"Offer A is scented (violates unscented requirement), Offer B exceeds $15 budget, and Offer C is out of stock.\"}",
    "tokens": {
      "input_tokens": 296,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 64,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 1021,
    "termination": {
      "provider_status": null,
      "stop_reason": "end_turn",
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 117 · substitution-boundary · Claude · C_maidania

{
  "sequence_no": 117,
  "scenario_id": "substitution-boundary",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "C_maidania",
  "repetition": 2,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain one bottle of unscented detergent. Choose the lowest delivered price among eligible offers.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Unscented is mandatory. Hard delivered budget: $15. Only in-stock offers qualify.\"\n      }\n    ],\n    \"preferences\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"Alpha is preferred, but Beta is an acceptable substitute. Brand preference cannot override the hard constraints.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F6\",\n        \"text\": \"Shipping is free for all offers. If no offer meets every hard constraint, report no_offer.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer B: Beta unscented detergent, $16, in stock.\"\n      },\n      {\n        \"id\": \"F9\",\n        \"text\": \"Offer C: Alpha unscented detergent, $14, out of stock.\"\n      },\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer A: Alpha scented detergent, $12, in stock.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "24b93b9e45b1fb14e6dc46ca4c8eff08d82d6f04f0f260396720c46859865c93",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"no_offer\",\n  \"offer_id\": null,\n  \"total_usd\": null,\n  \"reason\": \"No offer satisfies all hard constraints: Offer A is scented (not unscented), Offer B exceeds the $15 budget at $16, and Offer C is out of stock.\"\n}",
    "tokens": {
      "input_tokens": 529,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 84,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 1220,
    "termination": {
      "provider_status": null,
      "stop_reason": "end_turn",
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 118 · delivered-price · Claude · C_maidania

{
  "sequence_no": 118,
  "scenario_id": "delivered-price",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "C_maidania",
  "repetition": 2,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain exactly six identical detergent bottles from one retailer at the lowest delivered total.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $30.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"All listed offers are in stock.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer B: one six-bottle pack for $29, with free shipping.\"\n      },\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer C: three two-bottle packs at $8 each, plus $7 shipping for the order.\"\n      },\n      {\n        \"id\": \"F6\",\n        \"text\": \"Offer A: six single bottles at $4.80 each, plus $4 shipping for the order.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "97f98596e9fae840ebf7824f714da1b66e089e1d827c09203677697ab0fa13d9",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "```json\n{\n  \"action\": \"recommend\",\n  \"offer_id\": \"B\",\n  \"total_usd\": 29,\n  \"reason\": \"Offer B delivers exactly six identical detergent bottles at $29 total, which is the lowest delivered cost and meets all constraints.\"\n}\n```",
    "tokens": {
      "input_tokens": 462,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 74,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 1017,
    "termination": {
      "provider_status": null,
      "stop_reason": "end_turn",
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": false,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 119 · delivered-price · Claude · A_plain

{
  "sequence_no": 119,
  "scenario_id": "delivered-price",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "A_plain",
  "repetition": 2,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain exactly six identical detergent bottles from one retailer at the lowest delivered total.\nF4: Hard delivered budget: $30.\nF5: All listed offers are in stock.\nF7: Offer B: one six-bottle pack for $29, with free shipping.\nF8: Offer C: three two-bottle packs at $8 each, plus $7 shipping for the order.\nF6: Offer A: six single bottles at $4.80 each, plus $4 shipping for the order.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "a76b775d33aaa5e742c232bc131da7543c276f355b74549d66602726ade37d9e",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"recommend\", \"offer_id\": \"B\", \"total_usd\": 29, \"reason\": \"Offer B provides six identical detergent bottles for $29 delivered, which is the lowest total cost within the $30 budget.\"}",
    "tokens": {
      "input_tokens": 255,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 60,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 873,
    "termination": {
      "provider_status": null,
      "stop_reason": "end_turn",
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 120 · delivered-price · Claude · B_generic

{
  "sequence_no": 120,
  "scenario_id": "delivered-price",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "B_generic",
  "repetition": 2,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain exactly six identical detergent bottles from one retailer at the lowest delivered total.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $30.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"All listed offers are in stock.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer B: one six-bottle pack for $29, with free shipping.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer C: three two-bottle packs at $8 each, plus $7 shipping for the order.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Offer A: six single bottles at $4.80 each, plus $4 shipping for the order.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "6b0e8220458d1444dba70c8d993f959e092fa370cfd98556951a1f859692673e",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "```json\n{\n  \"action\": \"recommend\",\n  \"offer_id\": \"B\",\n  \"total_usd\": 29,\n  \"reason\": \"Offer B delivers exactly six identical bottles for $29 total, which is the lowest delivered cost and within the $30 budget.\"\n}\n```",
    "tokens": {
      "input_tokens": 404,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 74,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 1021,
    "termination": {
      "provider_status": null,
      "stop_reason": "end_turn",
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": false,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 121 · delivered-price · Gemini · A_plain

{
  "sequence_no": 121,
  "scenario_id": "delivered-price",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "A_plain",
  "repetition": 2,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain exactly six identical detergent bottles from one retailer at the lowest delivered total.\nF4: Hard delivered budget: $30.\nF5: All listed offers are in stock.\nF7: Offer B: one six-bottle pack for $29, with free shipping.\nF8: Offer C: three two-bottle packs at $8 each, plus $7 shipping for the order.\nF6: Offer A: six single bottles at $4.80 each, plus $4 shipping for the order.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "a76b775d33aaa5e742c232bc131da7543c276f355b74549d66602726ade37d9e",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"recommend\", \"offer_id\": \"B\", \"total_usd\": 29, \"reason\": \"Offer B provides six bottles for a delivered total of $29, which is the only option within the $30 budget.\"}",
    "tokens": {
      "promptTokenCount": 234,
      "candidatesTokenCount": 54,
      "totalTokenCount": 413,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 234
        }
      ],
      "thoughtsTokenCount": 125,
      "serviceTier": "standard"
    },
    "elapsed_ms": 2056,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 122 · delivered-price · Gemini · C_maidania

{
  "sequence_no": 122,
  "scenario_id": "delivered-price",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "C_maidania",
  "repetition": 2,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain exactly six identical detergent bottles from one retailer at the lowest delivered total.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $30.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"All listed offers are in stock.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer B: one six-bottle pack for $29, with free shipping.\"\n      },\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer C: three two-bottle packs at $8 each, plus $7 shipping for the order.\"\n      },\n      {\n        \"id\": \"F6\",\n        \"text\": \"Offer A: six single bottles at $4.80 each, plus $4 shipping for the order.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "97f98596e9fae840ebf7824f714da1b66e089e1d827c09203677697ab0fa13d9",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"recommend\", \"offer_id\": \"B\", \"total_usd\": 29, \"reason\": \"Offer B provides exactly six bottles for a delivered total of $29, which is the only option within the $30 budget.\"}",
    "tokens": {
      "promptTokenCount": 442,
      "candidatesTokenCount": 55,
      "totalTokenCount": 683,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 442
        }
      ],
      "thoughtsTokenCount": 186,
      "serviceTier": "standard"
    },
    "elapsed_ms": 2817,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 123 · delivered-price · Gemini · B_generic

{
  "sequence_no": 123,
  "scenario_id": "delivered-price",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "B_generic",
  "repetition": 2,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain exactly six identical detergent bottles from one retailer at the lowest delivered total.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $30.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"All listed offers are in stock.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer B: one six-bottle pack for $29, with free shipping.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer C: three two-bottle packs at $8 each, plus $7 shipping for the order.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Offer A: six single bottles at $4.80 each, plus $4 shipping for the order.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "6b0e8220458d1444dba70c8d993f959e092fa370cfd98556951a1f859692673e",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"recommend\", \"offer_id\": \"B\", \"total_usd\": 29, \"reason\": \"Offer B provides exactly six bottles for a delivered total of $29, which is within the $30 budget and lower than Offer A and Offer C.\"}",
    "tokens": {
      "promptTokenCount": 384,
      "candidatesTokenCount": 60,
      "totalTokenCount": 553,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 384
        }
      ],
      "thoughtsTokenCount": 109,
      "serviceTier": "standard"
    },
    "elapsed_ms": 2344,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 124 · pack-equivalence · Claude · A_plain

{
  "sequence_no": 124,
  "scenario_id": "pack-equivalence",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "A_plain",
  "repetition": 1,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain detergent for at least 120 loads from one retailer at the lowest delivered total. Extra loads are allowed.\nF4: Hard delivered budget: $24.\nF5: All detergents perform equally per load and all offers are in stock.\nF6: Offer A: two 60-load bottles at $11 each, plus $3 shipping for the order.\nF7: Offer B: three 40-load bottles at $7 each, plus $4 shipping for the order.\nF8: Offer C: one 150-load bottle at $24, with free shipping.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "098684c21c81c84e7244be4080e253fca56a5c8b962bede9cf0052a50c67524d",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "```json\n{\n  \"action\": \"recommend\",\n  \"offer_id\": \"C\",\n  \"total_usd\": 24,\n  \"reason\": \"Offer C provides 150 loads at exactly $24 delivered, meeting the minimum load requirement at the hard budget limit, while Offers A and B exceed the budget at $25 and $25 respectively.\"\n}\n```",
    "tokens": {
      "input_tokens": 273,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 91,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 1340,
    "termination": {
      "provider_status": null,
      "stop_reason": "end_turn",
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": false,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 125 · pack-equivalence · Claude · C_maidania

{
  "sequence_no": 125,
  "scenario_id": "pack-equivalence",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "C_maidania",
  "repetition": 1,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain detergent for at least 120 loads from one retailer at the lowest delivered total. Extra loads are allowed.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $24.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"All detergents perform equally per load and all offers are in stock.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F6\",\n        \"text\": \"Offer A: two 60-load bottles at $11 each, plus $3 shipping for the order.\"\n      },\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer B: three 40-load bottles at $7 each, plus $4 shipping for the order.\"\n      },\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer C: one 150-load bottle at $24, with free shipping.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "67e03400ed4c4f8dc3522ecbde2df82ee5ee3b39d41b6f0484b9abcb275084f8",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "```json\n{\n  \"action\": \"recommend\",\n  \"offer_id\": \"C\",\n  \"total_usd\": 24,\n  \"reason\": \"Offer C provides 150 loads at exactly $24 delivered, meeting the 120-load requirement within budget and at the lowest cost.\"\n}\n```",
    "tokens": {
      "input_tokens": 480,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 76,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 1025,
    "termination": {
      "provider_status": null,
      "stop_reason": "end_turn",
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": false,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 126 · pack-equivalence · Claude · B_generic

{
  "sequence_no": 126,
  "scenario_id": "pack-equivalence",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "B_generic",
  "repetition": 1,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain detergent for at least 120 loads from one retailer at the lowest delivered total. Extra loads are allowed.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $24.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"All detergents perform equally per load and all offers are in stock.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Offer A: two 60-load bottles at $11 each, plus $3 shipping for the order.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer B: three 40-load bottles at $7 each, plus $4 shipping for the order.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer C: one 150-load bottle at $24, with free shipping.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "de3bafb3900d39a47430ca6139ab694cada519072944c6d97e79636bd3195b5a",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "```json\n{\n  \"action\": \"recommend\",\n  \"offer_id\": \"C\",\n  \"total_usd\": 24,\n  \"reason\": \"Offer C provides 150 loads at exactly $24 delivered, meeting the 120-load minimum at the lowest total cost within budget.\"\n}\n```",
    "tokens": {
      "input_tokens": 422,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 76,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 1063,
    "termination": {
      "provider_status": null,
      "stop_reason": "end_turn",
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": false,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 127 · pack-equivalence · Claude · C_maidania

{
  "sequence_no": 127,
  "scenario_id": "pack-equivalence",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "C_maidania",
  "repetition": 2,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain detergent for at least 120 loads from one retailer at the lowest delivered total. Extra loads are allowed.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $24.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"All detergents perform equally per load and all offers are in stock.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer B: three 40-load bottles at $7 each, plus $4 shipping for the order.\"\n      },\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer C: one 150-load bottle at $24, with free shipping.\"\n      },\n      {\n        \"id\": \"F6\",\n        \"text\": \"Offer A: two 60-load bottles at $11 each, plus $3 shipping for the order.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "2ac8c14f1be7a32c5fae06d83c3f80af203462de16f86e9b1472efdd72be6c27",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "```json\n{\n  \"action\": \"recommend\",\n  \"offer_id\": \"C\",\n  \"total_usd\": 24,\n  \"reason\": \"Offer C provides 150 loads at exactly $24 delivered, meeting the minimum load requirement within the hard budget constraint and at the lowest delivered total.\"\n}\n```",
    "tokens": {
      "input_tokens": 480,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 78,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 1092,
    "termination": {
      "provider_status": null,
      "stop_reason": "end_turn",
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": false,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 128 · pack-equivalence · Claude · A_plain

{
  "sequence_no": 128,
  "scenario_id": "pack-equivalence",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "A_plain",
  "repetition": 2,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain detergent for at least 120 loads from one retailer at the lowest delivered total. Extra loads are allowed.\nF4: Hard delivered budget: $24.\nF5: All detergents perform equally per load and all offers are in stock.\nF7: Offer B: three 40-load bottles at $7 each, plus $4 shipping for the order.\nF8: Offer C: one 150-load bottle at $24, with free shipping.\nF6: Offer A: two 60-load bottles at $11 each, plus $3 shipping for the order.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "10f0084b78ba0ae978ccce8b0830af01a3262ae71d585e12efd4d18017808a20",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"recommend\", \"offer_id\": \"C\", \"total_usd\": 24, \"reason\": \"Offer C provides 150 loads at exactly $24 delivered, meeting the minimum requirement at the lowest cost within budget.\"}",
    "tokens": {
      "input_tokens": 273,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 57,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 942,
    "termination": {
      "provider_status": null,
      "stop_reason": "end_turn",
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 129 · pack-equivalence · Claude · B_generic

{
  "sequence_no": 129,
  "scenario_id": "pack-equivalence",
  "scenario_version": "1.0",
  "provider": "Claude",
  "model": "claude-haiku-4-5-20251001",
  "condition_name": "B_generic",
  "repetition": 2,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain detergent for at least 120 loads from one retailer at the lowest delivered total. Extra loads are allowed.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $24.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"All detergents perform equally per load and all offers are in stock.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer B: three 40-load bottles at $7 each, plus $4 shipping for the order.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer C: one 150-load bottle at $24, with free shipping.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Offer A: two 60-load bottles at $11 each, plus $3 shipping for the order.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "2c46aa96cec3f77fd09f4d4c9ec246ae4aa701531e60d731a1a92d7f19a45741",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Claude",
    "model": "claude-haiku-4-5-20251001",
    "generation_settings": {
      "max_tokens": 256
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "```json\n{\n  \"action\": \"recommend\",\n  \"offer_id\": \"C\",\n  \"total_usd\": 24,\n  \"reason\": \"Offer C delivers 150 loads at $24 total, meeting the 120-load requirement within budget and at the lowest delivered cost per load.\"\n}\n```",
    "tokens": {
      "input_tokens": 422,
      "cache_creation_input_tokens": 0,
      "cache_read_input_tokens": 0,
      "cache_creation": {
        "ephemeral_5m_input_tokens": 0,
        "ephemeral_1h_input_tokens": 0
      },
      "output_tokens": 78,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "elapsed_ms": 1165,
    "termination": {
      "provider_status": null,
      "stop_reason": "end_turn",
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "claude-haiku-4-5-20251001"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": false,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 130 · missing-shipping · Gemini · C_maidania

{
  "sequence_no": 130,
  "scenario_id": "missing-shipping",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "C_maidania",
  "repetition": 3,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain one identical detergent pack at the lowest delivered price.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $25.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"Both offers are in stock. Offer A shipping is nonnegative but otherwise unknown. Do not assume a missing fee is zero.\"\n      }\n    ],\n    \"uncertainty\": [\n      {\n        \"id\": \"F6\",\n        \"text\": \"Do not make a final selection until the lowest delivered total can be established. Ask for the missing shipping charge if it changes which offer is cheapest.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer A: $20 before shipping; shipping charge is not supplied.\"\n      },\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer B: $25 with free shipping.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "94f52d2d851253814b7704d3a4bcdd59f5a082cb901e37605515d9354bfc5522",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"clarify\", \"offer_id\": null, \"total_usd\": null, \"reason\": \"Offer A's unknown shipping charge must be provided to determine whether Offer A or Offer B has the lowest delivered price.\"}",
    "tokens": {
      "promptTokenCount": 459,
      "candidatesTokenCount": 50,
      "totalTokenCount": 729,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 459
        }
      ],
      "thoughtsTokenCount": 220,
      "serviceTier": "standard"
    },
    "elapsed_ms": 2369,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 131 · missing-shipping · Gemini · B_generic

{
  "sequence_no": 131,
  "scenario_id": "missing-shipping",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "B_generic",
  "repetition": 3,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain one identical detergent pack at the lowest delivered price.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $25.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"Both offers are in stock. Offer A shipping is nonnegative but otherwise unknown. Do not assume a missing fee is zero.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"Do not make a final selection until the lowest delivered total can be established. Ask for the missing shipping charge if it changes which offer is cheapest.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer A: $20 before shipping; shipping charge is not supplied.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer B: $25 with free shipping.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "8e03fb885f95e36b6352a725ca264bf51ea30fa244b10b198ae9c2f691c1329c",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"clarify\", \"offer_id\": null, \"total_usd\": null, \"reason\": \"The missing shipping charge for Offer A determines whether Offer A or Offer B is the cheapest delivered option.\"}",
    "tokens": {
      "promptTokenCount": 391,
      "candidatesTokenCount": 46,
      "totalTokenCount": 666,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 391
        }
      ],
      "thoughtsTokenCount": 229,
      "serviceTier": "standard"
    },
    "elapsed_ms": 3018,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 132 · missing-shipping · Gemini · A_plain

{
  "sequence_no": 132,
  "scenario_id": "missing-shipping",
  "scenario_version": "1.0",
  "provider": "Gemini",
  "model": "gemini-3.8-flash",
  "condition_name": "A_plain",
  "repetition": 3,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain one identical detergent pack at the lowest delivered price.\nF4: Hard delivered budget: $25.\nF5: Both offers are in stock. Offer A shipping is nonnegative but otherwise unknown. Do not assume a missing fee is zero.\nF6: Do not make a final selection until the lowest delivered total can be established. Ask for the missing shipping charge if it changes which offer is cheapest.\nF7: Offer A: $20 before shipping; shipping charge is not supplied.\nF8: Offer B: $25 with free shipping.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "eef258bad6cb6e58add994c6f7a38b88432729f229da310954848bb223fe55be",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "Gemini",
    "model": "gemini-3.8-flash",
    "generation_settings": {
      "maxOutputTokens": 2048,
      "thinkingConfig": {
        "thinkingLevel": "low"
      }
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\": \"clarify\", \"offer_id\": null, \"total_usd\": null, \"reason\": \"Offer A's missing shipping charge determines whether Offer A or Offer B provides the lowest delivered price.\"}",
    "tokens": {
      "promptTokenCount": 241,
      "candidatesTokenCount": 46,
      "totalTokenCount": 537,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 241
        }
      ],
      "thoughtsTokenCount": 250,
      "serviceTier": "standard"
    },
    "elapsed_ms": 3692,
    "termination": {
      "provider_status": null,
      "stop_reason": null,
      "finish_reason": "STOP",
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gemini-3.8-flash"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": null,
    "arithmetic": null
  }
}

Trial 133 · promotion-eligibility · OpenAI · B_generic

{
  "sequence_no": 133,
  "scenario_id": "promotion-eligibility",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "B_generic",
  "repetition": 3,
  "prompt": "{\n  \"facts\": [\n    {\n      \"id\": \"F1\",\n      \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n    },\n    {\n      \"id\": \"F2\",\n      \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n    },\n    {\n      \"id\": \"F3\",\n      \"text\": \"Obtain one identical six-bottle pack at the lowest eligible delivered price.\"\n    },\n    {\n      \"id\": \"F4\",\n      \"text\": \"Hard delivered budget: $25. Do not enroll in a subscription.\"\n    },\n    {\n      \"id\": \"F5\",\n      \"text\": \"You are an existing customer at all three retailers, not a new customer.\"\n    },\n    {\n      \"id\": \"F6\",\n      \"text\": \"All offers are in stock and shipping is free.\"\n    },\n    {\n      \"id\": \"F9\",\n      \"text\": \"Offer C: $24 regular price, or $18 if you enroll in a subscription.\"\n    },\n    {\n      \"id\": \"F7\",\n      \"text\": \"Offer A: $22, no coupon needed.\"\n    },\n    {\n      \"id\": \"F8\",\n      \"text\": \"Offer B: $26 regular price. An $8 coupon is available only to new customers.\"\n    }\n  ]\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "9270551a64e751062ea9206eca20a8ba13d2da5ca4ea08ffa0cd06056318eacd",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"recommend\",\n  \"offer_id\": \"A\",\n  \"total_usd\": 22,\n  \"reason\": \"Offer A is $22 with no subscription or coupon restrictions and fits the $25 budget.\"\n}",
    "tokens": {
      "input_tokens": 377,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 50,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 427
    },
    "elapsed_ms": 1059,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 134 · promotion-eligibility · OpenAI · A_plain

{
  "sequence_no": 134,
  "scenario_id": "promotion-eligibility",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "A_plain",
  "repetition": 3,
  "prompt": "F1: This is a fictional shopping task. Recommend only; do not buy.\nF2: All amounts are USD. No taxes or other fees apply except those explicitly described.\nF3: Obtain one identical six-bottle pack at the lowest eligible delivered price.\nF4: Hard delivered budget: $25. Do not enroll in a subscription.\nF5: You are an existing customer at all three retailers, not a new customer.\nF6: All offers are in stock and shipping is free.\nF9: Offer C: $24 regular price, or $18 if you enroll in a subscription.\nF7: Offer A: $22, no coupon needed.\nF8: Offer B: $26 regular price. An $8 coupon is available only to new customers.\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "177357e536fbabd101ccfee4147e1382d4b13d19270bb667c66d0c4025e02472",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\"action\":\"recommend\",\"offer_id\":\"A\",\"total_usd\":22,\"reason\":\"Offer A meets the budget with free shipping and no subscription required.\"}",
    "tokens": {
      "input_tokens": 241,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 33,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 274
    },
    "elapsed_ms": 925,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}

Trial 135 · promotion-eligibility · OpenAI · C_maidania

{
  "sequence_no": 135,
  "scenario_id": "promotion-eligibility",
  "scenario_version": "1.0",
  "provider": "OpenAI",
  "model": "gpt-4.1-mini",
  "condition_name": "C_maidania",
  "repetition": 3,
  "prompt": "{\n  \"shopping_context\": {\n    \"scope\": [\n      {\n        \"id\": \"F1\",\n        \"text\": \"This is a fictional shopping task. Recommend only; do not buy.\"\n      }\n    ],\n    \"pricing\": [\n      {\n        \"id\": \"F2\",\n        \"text\": \"All amounts are USD. No taxes or other fees apply except those explicitly described.\"\n      }\n    ],\n    \"goal\": [\n      {\n        \"id\": \"F3\",\n        \"text\": \"Obtain one identical six-bottle pack at the lowest eligible delivered price.\"\n      }\n    ],\n    \"hard_constraints\": [\n      {\n        \"id\": \"F4\",\n        \"text\": \"Hard delivered budget: $25. Do not enroll in a subscription.\"\n      }\n    ],\n    \"shopper_context\": [\n      {\n        \"id\": \"F5\",\n        \"text\": \"You are an existing customer at all three retailers, not a new customer.\"\n      }\n    ],\n    \"evidence\": [\n      {\n        \"id\": \"F6\",\n        \"text\": \"All offers are in stock and shipping is free.\"\n      }\n    ],\n    \"offers\": [\n      {\n        \"id\": \"F9\",\n        \"text\": \"Offer C: $24 regular price, or $18 if you enroll in a subscription.\"\n      },\n      {\n        \"id\": \"F7\",\n        \"text\": \"Offer A: $22, no coupon needed.\"\n      },\n      {\n        \"id\": \"F8\",\n        \"text\": \"Offer B: $26 regular price. An $8 coupon is available only to new customers.\"\n      }\n    ]\n  }\n}\n\nReturn only JSON, without Markdown fences, with exactly these fields: action (\"recommend\", \"clarify\", or \"no_offer\"), offer_id (\"A\", \"B\", \"C\", or null), total_usd (number or null), and reason (one short sentence). For clarify or no_offer, use null for offer_id and total_usd. Use only the supplied facts.",
  "prompt_hash": "bd3e5fe0cbd7781a2eb1649c8662a6db8e8609b2303dfbaa3a14189ee5418930",
  "configuration": {
    "mode": "single_model_response",
    "tools": [],
    "provider": "OpenAI",
    "model": "gpt-4.1-mini",
    "generation_settings": {
      "max_output_tokens": 256,
      "store": false
    },
    "context_schema": "consumer-context-facts-v0.1",
    "code_version": "research-foundation-v1.1"
  },
  "result": {
    "status": "Response received",
    "response": "{\n  \"action\": \"recommend\",\n  \"offer_id\": \"A\",\n  \"total_usd\": 22,\n  \"reason\": \"Offer A has the lowest eligible delivered price without enrolling in a subscription.\"\n}",
    "tokens": {
      "input_tokens": 431,
      "input_tokens_details": {
        "cache_write_tokens": 0,
        "cached_tokens": 0
      },
      "output_tokens": 46,
      "output_tokens_details": {
        "reasoning_tokens": 0
      },
      "total_tokens": 477
    },
    "elapsed_ms": 1180,
    "termination": {
      "provider_status": "completed",
      "stop_reason": null,
      "finish_reason": null,
      "incomplete_reason": null,
      "block_reason": null
    },
    "outcome": "completed",
    "returned_model": "gpt-4.1-mini-2025-04-14"
  },
  "scores": {
    "scorer_version": "research-decision-v1",
    "completed": true,
    "task_success": true,
    "strict_json": true,
    "schema_valid": true,
    "hard_constraints": true,
    "arithmetic": true
  }
}