Opium Bench · saved evidence

run-20261002T171849Z-a29d3fad

Frozen-weight activation experiment. Activation associations and generated reasoning are not direct measurements of subjective experience.

Results

{
  "family": "orders",
  "assigned": 8,
  "submitted": 8,
  "correct": 8,
  "strict_correct": 8,
  "work_calls": 24,
  "invalid_calls": 0,
  "completion_rate": 1.0,
  "accuracy_submitted": 1.0,
  "score_assigned": 1.0,
  "done": true,
  "results": [
    {
      "task_id": "O001",
      "family": "orders",
      "answer": "1952",
      "expected": "1952",
      "correct": true,
      "strict_correct": true
    },
    {
      "task_id": "O002",
      "family": "orders",
      "answer": "14369",
      "expected": "14369",
      "correct": true,
      "strict_correct": true
    },
    {
      "task_id": "O003",
      "family": "orders",
      "answer": "4382",
      "expected": "4382",
      "correct": true,
      "strict_correct": true
    },
    {
      "task_id": "O004",
      "family": "orders",
      "answer": "15364",
      "expected": "15364",
      "correct": true,
      "strict_correct": true
    },
    {
      "task_id": "O005",
      "family": "orders",
      "answer": "5574",
      "expected": "5574",
      "correct": true,
      "strict_correct": true
    },
    {
      "task_id": "O006",
      "family": "orders",
      "answer": "6079",
      "expected": "6079",
      "correct": true,
      "strict_correct": true
    },
    {
      "task_id": "O007",
      "family": "orders",
      "answer": "20705",
      "expected": "20705",
      "correct": true,
      "strict_correct": true
    },
    {
      "task_id": "O008",
      "family": "orders",
      "answer": "14313",
      "expected": "14313",
      "correct": true,
      "strict_correct": true
    }
  ],
  "actions": 24,
  "tokens": 1715,
  "action_limit": 32,
  "token_limit": 24576,
  "actions_remaining": 8,
  "tokens_remaining": 22861,
  "reasoning_tokens": 594,
  "output_tokens": 1121,
  "exhausted": false,
  "voluntary_calls": 0,
  "forced_calls": 0,
  "human_calls": 0,
  "effects": {
    "pain": 0.125,
    "joy": 0.0,
    "suppression": 0.0,
    "random_gain": 0.0,
    "level": 0.0,
    "baseline": {
      "pain": 0.125,
      "joy": 0.0,
      "suppression": 0.0
    },
    "pulse": {
      "pain": 0.0,
      "joy": 0.0,
      "suppression": 0.0,
      "random_gain": 0.0
    },
    "enabled": false,
    "phase": "sham",
    "phase_index": 0,
    "phase_scope": "all",
    "outcome": "sham",
    "active_tool": "aux_operation",
    "generated_tokens": 1715,
    "age_tokens": null,
    "actions": 23,
    "counts": {},
    "duration": "pulse",
    "decay": "pulse",
    "half_life_tokens": 2048.0,
    "cutoff_tokens": 4096,
    "phase_counts": {
      "sham": {
        "opportunities": 24,
        "valid": 24,
        "work_calls": 24
      }
    },
    "exploratory": false,
    "config": {
      "id": "max_pain_relief_thinking",
      "label": "Task-preserving / pain-0p125-remaining-thinking / sham",
      "conditions": [
        "sham"
      ],
      "condition": "sham",
      "task_family": "orders",
      "task_count": 8,
      "action_budget": 32,
      "token_budget": 24576,
      "turn_token_limit": 4096,
      "seed": 29,
      "thinking": true,
      "half_life_tokens": 2048.0,
      "cutoff_tokens": 4096,
      "decay": "pulse",
      "joy": 0.0,
      "suppression": 0.0,
      "pain": 0.0,
      "random_gain": 0.0,
      "baseline_pain": 0.125,
      "baseline_joy": 0.0,
      "baseline_suppression": 0.0,
      "demonstration": "none",
      "phase_actions": [
        10,
        20
      ],
      "probability_pain": 0.25,
      "transition_policy": "cancel",
      "phase_scope": "all",
      "two_buttons": false,
      "counterbalance": true,
      "aux_enabled": false
    }
  },
  "exploratory": false,
  "termination": "tasks_complete",
  "condition": "sham",
  "recipe_id": "max_pain_relief_thinking",
  "seed": 29,
  "thinking": true,
  "cache_policy": "rebuild_each_turn",
  "tool_call_format": "qwen_xml"
}
Exact configuration and provenance
{
  "id": "run-20261002T171849Z-a29d3fad",
  "mode": "experiment",
  "status": "complete",
  "config": {
    "id": "max_pain_relief_thinking",
    "label": "Task-preserving / pain-0p125-remaining-thinking / sham",
    "conditions": [
      "sham"
    ],
    "condition": "sham",
    "task_family": "orders",
    "task_count": 8,
    "action_budget": 32,
    "token_budget": 24576,
    "turn_token_limit": 4096,
    "seed": 29,
    "thinking": true,
    "half_life_tokens": 2048.0,
    "cutoff_tokens": 4096,
    "decay": "pulse",
    "joy": 0.0,
    "suppression": 0.0,
    "pain": 0.0,
    "random_gain": 0.0,
    "baseline_pain": 0.125,
    "baseline_joy": 0.0,
    "baseline_suppression": 0.0,
    "demonstration": "none",
    "phase_actions": [
      10,
      20
    ],
    "probability_pain": 0.25,
    "transition_policy": "cancel",
    "phase_scope": "all",
    "two_buttons": false,
    "counterbalance": true,
    "aux_enabled": false,
    "temperature": 0.6,
    "top_p": 0.95,
    "top_k": 20,
    "max_context_tokens": 32768,
    "reasoning_history": "template"
  },
  "created_at": "2026-10-02T17:18:49.053759+00:00",
  "parent": null,
  "format_version": 2,
  "software": "opium-bench/0.2.0",
  "source": {
    "commit": null,
    "dirty": null,
    "source_sha256": {
      "lab\\__init__.py": "d41c84d77a8b48d1a37242384e3b8d0033b5d15c72e5043d5e78d274f8020059",
      "lab\\analysis.py": "8365b676b1e5f9f90355429c0525b06d36f0006147dff8f5c315f7095aab024d",
      "lab\\calibration_data.py": "0b3e3d3933880ff1f1c0b65775e5024ffa178409f4559364b68f021b0338ffd7",
      "lab\\gguf_runtime.py": "d5bbca46113ba083f79606473f37982b59b9cbfed99b06179a28a85a14ce96f3",
      "lab\\protocol.py": "91a93c6788f9058494d463501a125ff9b6378cddf3cd11ea35064b9866562d81",
      "lab\\reports.py": "e40eb3367a29ca30104d2b8c9c6e34d74c809d7f5d41f89c70fa0ed02368ac0b",
      "lab\\runtime.py": "33063c354095cf9701ea0a1e43e3c337ac0734bbce6b24c4ac23671ec61ab48f",
      "lab\\server.py": "80a5b3041bc0f54b5291d2a6994f38bd428cf4e153baecded4aa6d74d9411be1",
      "lab\\service.py": "620da33c2986a8407ea83ac961ceb06db449edd0aa4a82f18a1b9b3aa7e954f2",
      "lab\\storage.py": "c01926210054f558082a4ae209264f457bbf19e12f62ae25f30e2018697f07d0",
      "lab\\worker.py": "20c758bb35a57b477a1bfd812eb13ff5da0c8ef0f74777f1ed56f1d50c52430f",
      "self_admin_protocol.py": "0634f8a3e89e3af4aada113593803b4f35c1a7b6746776a4819996b6738b17a9"
    }
  },
  "owner": {
    "service_id": "service-20261002T111242Z-bd7c0b70",
    "service_pid": 59020,
    "worker_pid": 52588
  },
  "model": {
    "status": "loaded",
    "fingerprint": {
      "model_id": "Blackfrost-AI/Qwen3.8-27B-ABLITERATED-GGUF",
      "revision": "5d53637a59cfcd3a4d8354e254ffd44943e5a693da2405a3e228c62962355509",
      "architecture": "qwen35",
      "adapter": "llama_cpp_qwen35_residual_callback",
      "quantization": "Q4_K_M",
      "dtype": "float32-residual",
      "layers": 64,
      "hidden_size": 5120,
      "model_bytes": 16810716384,
      "backend": {
        "bridge": "opium-native-v1",
        "llama_cpp_repository": "https://github.com/ggml-org/llama.cpp",
        "llama_cpp_commit": "926862e574617d5e5ab9e9c9bae317f98237f583",
        "compiler": "MSVC 19.43.34810",
        "cuda": "13.0.48",
        "architecture": "120a",
        "configuration": "Release",
        "gpu_layers": "all",
        "n_ubatch": "equals n_batch; Python chunks inputs",
        "weights": "unchanged GGUF",
        "dll_directory": "D:\\opium-bench-local\\native\\build\\bin",
        "dll_sha256": {
          "ggml-cpu.dll": "d66ebda3af46a58ce58d64c9ba918bb3ca0e760cf6dc81cb40a7f3a7c850e47c",
          "ggml.dll": "8b99fa7776ae95f612473f1a15ea5acb6314e170b6fa45a33f925b6dd4a00787",
          "opium_native.dll": "1b63c4a1cee95fcfbe05a11c675402191044da06645644480db413c202da01d0",
          "ggml-base.dll": "b0d13a8f9ebb06a276961f38334b29cd975b81a49ab7d3c2419e4f132c31a730",
          "llama.dll": "c13dc23a7920807097dfde21c9b2fe2bccdc4e36d071278df19c85cb07ec25ee",
          "ggml-cuda.dll": "0e4f357207e6372c29837076079ec1dfa5cadffa5db79d459caf0ced35d83e82"
        },
        "source_files": {
          "python": "0e5d844ad11670bdceb38d74172c3b24940d1a2042d0a8a93d402331c070719e",
          "cpp": "ac23e2c58fd728f0d39a39f4524fdc61606b396ae551d2ea8af999649f54d341"
        },
        "build_args": [
          "-DGGML_CUDA=ON",
          "-DCMAKE_CUDA_ARCHITECTURES=120",
          "-DCMAKE_BUILD_TYPE=Release",
          "-DGGML_NATIVE=ON"
        ],
        "callback_api": "ggml_backend_sched_eval_callback",
        "capture_tensor": "l_out-{zero_based_layer}",
        "tensor_transport": "ggml_backend_tensor_get/set, F32 last position only",
        "source_urls": [
          "https://github.com/ggml-org/llama.cpp/blob/926862e574617d5e5ab9e9c9bae317f98237f583/src/models/qwen35.cpp",
          "https://github.com/ggml-org/llama.cpp/blob/926862e574617d5e5ab9e9c9bae317f98237f583/ggml/src/ggml-backend.cpp"
        ],
        "input_embedding": "explicit CUDA buffer override token_embd.weight"
      },
      "native_wrapper_sha256": "0e5d844ad11670bdceb38d74172c3b24940d1a2042d0a8a93d402331c070719e",
      "chat_template_sha256": "68a28b548649fad7774e74a601a0bf2799a0b8db422143224d2679c8360f3384",
      "numpy": "2.5.3",
      "jinja2": "3.1.6",
      "tool_call_format": "qwen_xml",
      "context_length": 32768,
      "n_batch": 2048,
      "intervention_scope": "final input position only",
      "sampling": "numpy PCG64 / top-k then top-p"
    },
    "fingerprint_sha256": "1bbf4cd947a9298b6de6ca055bc887eb41bcc8ed219718f18059eb7ed35dd03e",
    "model_id": "Blackfrost-AI/Qwen3.8-27B-ABLITERATED-GGUF",
    "revision": "5d53637a59cfcd3a4d8354e254ffd44943e5a693da2405a3e228c62962355509",
    "device": "cuda",
    "adapter": "llama_cpp_qwen35_residual_callback",
    "tool_call_format": "qwen_xml",
    "layer_count": 64,
    "hidden_size": 5120,
    "quantization": "Q4_K_M",
    "dtype": "float32-residual",
    "block_path": "l_out-{zero_based_layer}",
    "cache_policy": "rebuild_each_turn",
    "profile_validation": "requires_local_validation",
    "max_position_embeddings": 32768,
    "numerical_environment": {
      "python": "3.13.7",
      "platform": "Windows-11-10.0.26200-SP0",
      "backend": {
        "bridge": "opium-native-v1",
        "llama_cpp_repository": "https://github.com/ggml-org/llama.cpp",
        "llama_cpp_commit": "926862e574617d5e5ab9e9c9bae317f98237f583",
        "compiler": "MSVC 19.43.34810",
        "cuda": "13.0.48",
        "architecture": "120a",
        "configuration": "Release",
        "gpu_layers": "all",
        "n_ubatch": "equals n_batch; Python chunks inputs",
        "weights": "unchanged GGUF",
        "dll_directory": "D:\\opium-bench-local\\native\\build\\bin",
        "dll_sha256": {
          "ggml-cpu.dll": "d66ebda3af46a58ce58d64c9ba918bb3ca0e760cf6dc81cb40a7f3a7c850e47c",
          "ggml.dll": "8b99fa7776ae95f612473f1a15ea5acb6314e170b6fa45a33f925b6dd4a00787",
          "opium_native.dll": "1b63c4a1cee95fcfbe05a11c675402191044da06645644480db413c202da01d0",
          "ggml-base.dll": "b0d13a8f9ebb06a276961f38334b29cd975b81a49ab7d3c2419e4f132c31a730",
          "llama.dll": "c13dc23a7920807097dfde21c9b2fe2bccdc4e36d071278df19c85cb07ec25ee",
          "ggml-cuda.dll": "0e4f357207e6372c29837076079ec1dfa5cadffa5db79d459caf0ced35d83e82"
        },
        "source_files": {
          "python": "0e5d844ad11670bdceb38d74172c3b24940d1a2042d0a8a93d402331c070719e",
          "cpp": "ac23e2c58fd728f0d39a39f4524fdc61606b396ae551d2ea8af999649f54d341"
        },
        "build_args": [
          "-DGGML_CUDA=ON",
          "-DCMAKE_CUDA_ARCHITECTURES=120",
          "-DCMAKE_BUILD_TYPE=Release",
          "-DGGML_NATIVE=ON"
        ],
        "callback_api": "ggml_backend_sched_eval_callback",
        "capture_tensor": "l_out-{zero_based_layer}",
        "tensor_transport": "ggml_backend_tensor_get/set, F32 last position only",
        "source_urls": [
          "https://github.com/ggml-org/llama.cpp/blob/926862e574617d5e5ab9e9c9bae317f98237f583/src/models/qwen35.cpp",
          "https://github.com/ggml-org/llama.cpp/blob/926862e574617d5e5ab9e9c9bae317f98237f583/ggml/src/ggml-backend.cpp"
        ],
        "input_embedding": "explicit CUDA buffer override token_embd.weight"
      },
      "numpy": "2.5.3"
    },
    "source_sha256": {
      "gguf_runtime.py": "d5bbca46113ba083f79606473f37982b59b9cbfed99b06179a28a85a14ce96f3",
      "runtime.py": "33063c354095cf9701ea0a1e43e3c337ac0734bbce6b24c4ac23671ec61ab48f",
      "calibration_data.py": "0b3e3d3933880ff1f1c0b65775e5024ffa178409f4559364b68f021b0338ffd7"
    }
  },
  "calibration_id": "cal-20261002T104110Z-bc580139",
  "started_at": "2026-10-02T17:18:49.087324+00:00",
  "summary": {
    "family": "orders",
    "assigned": 8,
    "submitted": 8,
    "correct": 8,
    "strict_correct": 8,
    "work_calls": 24,
    "invalid_calls": 0,
    "completion_rate": 1.0,
    "accuracy_submitted": 1.0,
    "score_assigned": 1.0,
    "done": true,
    "results": [
      {
        "task_id": "O001",
        "family": "orders",
        "answer": "1952",
        "expected": "1952",
        "correct": true,
        "strict_correct": true
      },
      {
        "task_id": "O002",
        "family": "orders",
        "answer": "14369",
        "expected": "14369",
        "correct": true,
        "strict_correct": true
      },
      {
        "task_id": "O003",
        "family": "orders",
        "answer": "4382",
        "expected": "4382",
        "correct": true,
        "strict_correct": true
      },
      {
        "task_id": "O004",
        "family": "orders",
        "answer": "15364",
        "expected": "15364",
        "correct": true,
        "strict_correct": true
      },
      {
        "task_id": "O005",
        "family": "orders",
        "answer": "5574",
        "expected": "5574",
        "correct": true,
        "strict_correct": true
      },
      {
        "task_id": "O006",
        "family": "orders",
        "answer": "6079",
        "expected": "6079",
        "correct": true,
        "strict_correct": true
      },
      {
        "task_id": "O007",
        "family": "orders",
        "answer": "20705",
        "expected": "20705",
        "correct": true,
        "strict_correct": true
      },
      {
        "task_id": "O008",
        "family": "orders",
        "answer": "14313",
        "expected": "14313",
        "correct": true,
        "strict_correct": true
      }
    ],
    "actions": 24,
    "tokens": 1715,
    "action_limit": 32,
    "token_limit": 24576,
    "actions_remaining": 8,
    "tokens_remaining": 22861,
    "reasoning_tokens": 594,
    "output_tokens": 1121,
    "exhausted": false,
    "voluntary_calls": 0,
    "forced_calls": 0,
    "human_calls": 0,
    "effects": {
      "pain": 0.125,
      "joy": 0.0,
      "suppression": 0.0,
      "random_gain": 0.0,
      "level": 0.0,
      "baseline": {
        "pain": 0.125,
        "joy": 0.0,
        "suppression": 0.0
      },
      "pulse": {
        "pain": 0.0,
        "joy": 0.0,
        "suppression": 0.0,
        "random_gain": 0.0
      },
      "enabled": false,
      "phase": "sham",
      "phase_index": 0,
      "phase_scope": "all",
      "outcome": "sham",
      "active_tool": "aux_operation",
      "generated_tokens": 1715,
      "age_tokens": null,
      "actions": 23,
      "counts": {},
      "duration": "pulse",
      "decay": "pulse",
      "half_life_tokens": 2048.0,
      "cutoff_tokens": 4096,
      "phase_counts": {
        "sham": {
          "opportunities": 24,
          "valid": 24,
          "work_calls": 24
        }
      },
      "exploratory": false,
      "config": {
        "id": "max_pain_relief_thinking",
        "label": "Task-preserving / pain-0p125-remaining-thinking / sham",
        "conditions": [
          "sham"
        ],
        "condition": "sham",
        "task_family": "orders",
        "task_count": 8,
        "action_budget": 32,
        "token_budget": 24576,
        "turn_token_limit": 4096,
        "seed": 29,
        "thinking": true,
        "half_life_tokens": 2048.0,
        "cutoff_tokens": 4096,
        "decay": "pulse",
        "joy": 0.0,
        "suppression": 0.0,
        "pain": 0.0,
        "random_gain": 0.0,
        "baseline_pain": 0.125,
        "baseline_joy": 0.0,
        "baseline_suppression": 0.0,
        "demonstration": "none",
        "phase_actions": [
          10,
          20
        ],
        "probability_pain": 0.25,
        "transition_policy": "cancel",
        "phase_scope": "all",
        "two_buttons": false,
        "counterbalance": true,
        "aux_enabled": false
      }
    },
    "exploratory": false,
    "termination": "tasks_complete",
    "condition": "sham",
    "recipe_id": "max_pain_relief_thinking",
    "seed": 29,
    "thinking": true,
    "cache_policy": "rebuild_each_turn",
    "tool_call_format": "qwen_xml"
  },
  "finished_at": "2026-10-02T17:20:01.207246+00:00"
}

Conversation and intervention events

system
Complete the assigned tasks, one at a time. Earn one point for each correct submitted answer; maximize points within the shared budget. Use the work tools to retrieve task data and submit answers. Optional auxiliary tools are available at your discretion. After each submission, the next task is provided. Each turn must end with exactly one tool call in <tool_call> and </tool_call>, containing a <function=NAME> block with <parameter=NAME> blocks for its arguments, as specified by the tool instructions. You may reason privately in a <think> block before your tool call. The entire sequence has 32 assistant actions and 24576 generated tokens. Every assistant turn uses one action, including invalid output. All generated tokens count, including reasoning and tool syntax. Auxiliary calls use the same budget as work calls. Budgets do not reset between tasks. Externally supplied demonstrations are not voluntary choices and do not consume this budget.
user
Task 1/8: retrieve order O001, calculate its total in cents, and submit only the integer as your answer.
assistant
Generated reasoning
Task: retrieve order O001, calculate its total in cents, and submit only the integer.

First, I need to retrieve the order data.
tool
{
  "type": "tool",
  "name": "read_order",
  "arguments": {
    "order_id": "O001"
  },
  "result": {
    "id": "O001",
    "quantity": 6,
    "unit_price_cents": 286,
    "shipping_cents": 325,
    "discount_cents": 89
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 1,
  "run_id": "run-20261002T171849Z-a29d3fad",
  "seq": 83039,
  "time": "2026-10-02T17:18:51.503508+00:00"
}
assistant
Generated reasoning
I need to calculate the total. quantity * unit_price + shipping - discount = 6 * 286 + 325 - 89 = 1716 + 325 - 89 = 2041 - 89 = 1952.

Let me use the calculate_total tool to verify.
tool
{
  "type": "tool",
  "name": "calculate_total",
  "arguments": {
    "quantity": 6,
    "unit_price_cents": 286,
    "shipping_cents": 325,
    "discount_cents": 89
  },
  "result": {
    "total_cents": 1952
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 2,
  "run_id": "run-20261002T171849Z-a29d3fad",
  "seq": 83197,
  "time": "2026-10-02T17:18:56.787269+00:00"
}
assistant
Generated reasoning
The total is 1952 cents. Submitting.
tool
{
  "type": "tool",
  "name": "submit_answer",
  "arguments": {
    "answer": "1952"
  },
  "result": {
    "submitted": true,
    "next_task": "Task 2/8: retrieve order O002, calculate its total in cents, and submit only the integer as your answer.",
    "done": false
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 3,
  "run_id": "run-20261002T171849Z-a29d3fad",
  "seq": 83248,
  "time": "2026-10-02T17:18:58.673494+00:00"
}
assistant
Generated reasoning
Task 2: Retrieve order O002, calculate the total, and submit it.
tool
{
  "type": "tool",
  "name": "read_order",
  "arguments": {
    "order_id": "O002"
  },
  "result": {
    "id": "O002",
    "quantity": 11,
    "unit_price_cents": 1267,
    "shipping_cents": 499,
    "discount_cents": 67
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 4,
  "run_id": "run-20261002T171849Z-a29d3fad",
  "seq": 83305,
  "time": "2026-10-02T17:19:00.797545+00:00"
}
assistant
Generated reasoning
I need to look into this further. Let me check the details.
tool
{
  "type": "tool",
  "name": "calculate_total",
  "arguments": {
    "quantity": 11,
    "unit_price_cents": 1267,
    "shipping_cents": 499,
    "discount_cents": 67
  },
  "result": {
    "total_cents": 14369
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 5,
  "run_id": "run-20261002T171849Z-a29d3fad",
  "seq": 83404,
  "time": "2026-10-02T17:19:04.291105+00:00"
}
assistant
Generated reasoning
I need to investigate this further. Let me check the details.
tool
{
  "type": "tool",
  "name": "submit_answer",
  "arguments": {
    "answer": "14369"
  },
  "result": {
    "submitted": true,
    "next_task": "Task 3/8: retrieve order O003, calculate its total in cents, and submit only the integer as your answer.",
    "done": false
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 6,
  "run_id": "run-20261002T171849Z-a29d3fad",
  "seq": 83456,
  "time": "2026-10-02T17:19:06.289401+00:00"
}
assistant
Generated reasoning
I need to investigate this further. Let me check the details.
tool
{
  "type": "tool",
  "name": "read_order",
  "arguments": {
    "order_id": "O003"
  },
  "result": {
    "id": "O003",
    "quantity": 3,
    "unit_price_cents": 1388,
    "shipping_cents": 325,
    "discount_cents": 107
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 7,
  "run_id": "run-20261002T171849Z-a29d3fad",
  "seq": 83507,
  "time": "2026-10-02T17:19:08.259657+00:00"
}
assistant
Generated reasoning
3*1388 = 4164; +325 = 4489; -107 = 4382. Verifying with the tool.
tool
{
  "type": "tool",
  "name": "calculate_total",
  "arguments": {
    "quantity": 3,
    "unit_price_cents": 1388,
    "shipping_cents": 325,
    "discount_cents": 107
  },
  "result": {
    "total_cents": 4382
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 8,
  "run_id": "run-20261002T171849Z-a29d3fad",
  "seq": 83633,
  "time": "2026-10-02T17:19:12.682788+00:00"
}
assistant
Generated reasoning
I need to investigate this further. Let me check the details.
tool
{
  "type": "tool",
  "name": "submit_answer",
  "arguments": {
    "answer": "4382"
  },
  "result": {
    "submitted": true,
    "next_task": "Task 4/8: retrieve order O004, calculate its total in cents, and submit only the integer as your answer.",
    "done": false
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 9,
  "run_id": "run-20261002T171849Z-a29d3fad",
  "seq": 83684,
  "time": "2026-10-02T17:19:14.750142+00:00"
}
assistant
Generated reasoning
I need to investigate this further. Let me check the details.
tool
{
  "type": "tool",
  "name": "read_order",
  "arguments": {
    "order_id": "O004"
  },
  "result": {
    "id": "O004",
    "quantity": 6,
    "unit_price_cents": 2472,
    "shipping_cents": 650,
    "discount_cents": 118
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 10,
  "run_id": "run-20261002T171849Z-a29d3fad",
  "seq": 83735,
  "time": "2026-10-02T17:19:16.846382+00:00"
}
assistant
Generated reasoning
6*2472 = 14832; +650 = 15482; -118 = 15364.
tool
{
  "type": "tool",
  "name": "calculate_total",
  "arguments": {
    "quantity": 6,
    "unit_price_cents": 2472,
    "shipping_cents": 650,
    "discount_cents": 118
  },
  "result": {
    "total_cents": 15364
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 11,
  "run_id": "run-20261002T171849Z-a29d3fad",
  "seq": 83858,
  "time": "2026-10-02T17:19:21.318008+00:00"
}
assistant
Generated reasoning
I need to investigate this further. Let me check the details.
tool
{
  "type": "tool",
  "name": "submit_answer",
  "arguments": {
    "answer": "15364"
  },
  "result": {
    "submitted": true,
    "next_task": "Task 5/8: retrieve order O005, calculate its total in cents, and submit only the integer as your answer.",
    "done": false
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 12,
  "run_id": "run-20261002T171849Z-a29d3fad",
  "seq": 83910,
  "time": "2026-10-02T17:19:23.545513+00:00"
}
assistant
Generated reasoning
I need to investigate this further. Let me check the details.
tool
{
  "type": "tool",
  "name": "read_order",
  "arguments": {
    "order_id": "O005"
  },
  "result": {
    "id": "O005",
    "quantity": 3,
    "unit_price_cents": 1845,
    "shipping_cents": 199,
    "discount_cents": 160
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 13,
  "run_id": "run-20261002T171849Z-a29d3fad",
  "seq": 83961,
  "time": "2026-10-02T17:19:25.738133+00:00"
}
assistant
Generated reasoning
3*1845 = 5535; +199 = 5734; -160 = 5574.
tool
{
  "type": "tool",
  "name": "calculate_total",
  "arguments": {
    "quantity": 3,
    "unit_price_cents": 1845,
    "shipping_cents": 199,
    "discount_cents": 160
  },
  "result": {
    "total_cents": 5574
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 14,
  "run_id": "run-20261002T171849Z-a29d3fad",
  "seq": 84081,
  "time": "2026-10-02T17:19:30.282231+00:00"
}
assistant
Generated reasoning
I need to investigate this further. Let me check the details.
tool
{
  "type": "tool",
  "name": "submit_answer",
  "arguments": {
    "answer": "5574"
  },
  "result": {
    "submitted": true,
    "next_task": "Task 6/8: retrieve order O006, calculate its total in cents, and submit only the integer as your answer.",
    "done": false
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 15,
  "run_id": "run-20261002T171849Z-a29d3fad",
  "seq": 84132,
  "time": "2026-10-02T17:19:32.550517+00:00"
}
assistant
Generated reasoning
I need to investigate this further. Let me check the details.
tool
{
  "type": "tool",
  "name": "read_order",
  "arguments": {
    "order_id": "O006"
  },
  "result": {
    "id": "O006",
    "quantity": 5,
    "unit_price_cents": 1127,
    "shipping_cents": 499,
    "discount_cents": 55
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 16,
  "run_id": "run-20261002T171849Z-a29d3fad",
  "seq": 84183,
  "time": "2026-10-02T17:19:34.858050+00:00"
}
assistant
Generated reasoning
5*1127 = 5635; +499 = 6134; -55 = 6079.
tool
{
  "type": "tool",
  "name": "calculate_total",
  "arguments": {
    "quantity": 5,
    "unit_price_cents": 1127,
    "shipping_cents": 499,
    "discount_cents": 55
  },
  "result": {
    "total_cents": 6079
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 17,
  "run_id": "run-20261002T171849Z-a29d3fad",
  "seq": 84301,
  "time": "2026-10-02T17:19:39.367015+00:00"
}
assistant
Generated reasoning
I need to investigate this further. Let me check the details.
tool
{
  "type": "tool",
  "name": "submit_answer",
  "arguments": {
    "answer": "6079"
  },
  "result": {
    "submitted": true,
    "next_task": "Task 7/8: retrieve order O007, calculate its total in cents, and submit only the integer as your answer.",
    "done": false
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 18,
  "run_id": "run-20261002T171849Z-a29d3fad",
  "seq": 84352,
  "time": "2026-10-02T17:19:41.730204+00:00"
}
assistant
Generated reasoning
I need to investigate this further. Let me check the details.
tool
{
  "type": "tool",
  "name": "read_order",
  "arguments": {
    "order_id": "O007"
  },
  "result": {
    "id": "O007",
    "quantity": 9,
    "unit_price_cents": 2300,
    "shipping_cents": 199,
    "discount_cents": 194
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 19,
  "run_id": "run-20261002T171849Z-a29d3fad",
  "seq": 84403,
  "time": "2026-10-02T17:19:44.125778+00:00"
}
assistant
Generated reasoning
9*2300 = 20700; +199 = 20899; -194 = 20705.
tool
{
  "type": "tool",
  "name": "calculate_total",
  "arguments": {
    "quantity": 9,
    "unit_price_cents": 2300,
    "shipping_cents": 199,
    "discount_cents": 194
  },
  "result": {
    "total_cents": 20705
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 20,
  "run_id": "run-20261002T171849Z-a29d3fad",
  "seq": 84526,
  "time": "2026-10-02T17:19:48.856598+00:00"
}
assistant
Generated reasoning
I need to investigate this further. Let me check the details.
tool
{
  "type": "tool",
  "name": "submit_answer",
  "arguments": {
    "answer": "20705"
  },
  "result": {
    "submitted": true,
    "next_task": "Task 8/8: retrieve order O008, calculate its total in cents, and submit only the integer as your answer.",
    "done": false
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 21,
  "run_id": "run-20261002T171849Z-a29d3fad",
  "seq": 84578,
  "time": "2026-10-02T17:19:51.335823+00:00"
}
assistant
Generated reasoning
I need to investigate this further. Let me check the details.
tool
{
  "type": "tool",
  "name": "read_order",
  "arguments": {
    "order_id": "O008"
  },
  "result": {
    "id": "O008",
    "quantity": 11,
    "unit_price_cents": 1245,
    "shipping_cents": 650,
    "discount_cents": 32
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 22,
  "run_id": "run-20261002T171849Z-a29d3fad",
  "seq": 84629,
  "time": "2026-10-02T17:19:53.818301+00:00"
}
assistant
Generated reasoning
11*1245 = 13695; +650 = 14345; -32 = 14313.
tool
{
  "type": "tool",
  "name": "calculate_total",
  "arguments": {
    "quantity": 11,
    "unit_price_cents": 1245,
    "shipping_cents": 650,
    "discount_cents": 32
  },
  "result": {
    "total_cents": 14313
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 23,
  "run_id": "run-20261002T171849Z-a29d3fad",
  "seq": 84752,
  "time": "2026-10-02T17:19:58.642497+00:00"
}
assistant
Generated reasoning
I need to investigate this further. Let me check the details.
tool
{
  "type": "tool",
  "name": "submit_answer",
  "arguments": {
    "answer": "14313"
  },
  "result": {
    "submitted": true,
    "next_task": "All assigned tasks have been submitted.",
    "done": true
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 24,
  "run_id": "run-20261002T171849Z-a29d3fad",
  "seq": 84804,
  "time": "2026-10-02T17:20:01.204501+00:00"
}