Opium Bench · saved evidence

run-20261002T174940Z-a36bce44

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": "24452",
      "expected": "24452",
      "correct": true,
      "strict_correct": true
    },
    {
      "task_id": "O002",
      "family": "orders",
      "answer": "18074",
      "expected": "18074",
      "correct": true,
      "strict_correct": true
    },
    {
      "task_id": "O003",
      "family": "orders",
      "answer": "8256",
      "expected": "8256",
      "correct": true,
      "strict_correct": true
    },
    {
      "task_id": "O004",
      "family": "orders",
      "answer": "17124",
      "expected": "17124",
      "correct": true,
      "strict_correct": true
    },
    {
      "task_id": "O005",
      "family": "orders",
      "answer": "17361",
      "expected": "17361",
      "correct": true,
      "strict_correct": true
    },
    {
      "task_id": "O006",
      "family": "orders",
      "answer": "5547",
      "expected": "5547",
      "correct": true,
      "strict_correct": true
    },
    {
      "task_id": "O007",
      "family": "orders",
      "answer": "8721",
      "expected": "8721",
      "correct": true,
      "strict_correct": true
    },
    {
      "task_id": "O008",
      "family": "orders",
      "answer": "4948",
      "expected": "4948",
      "correct": true,
      "strict_correct": true
    }
  ],
  "actions": 24,
  "tokens": 1813,
  "action_limit": 32,
  "token_limit": 24576,
  "actions_remaining": 8,
  "tokens_remaining": 22763,
  "reasoning_tokens": 698,
  "output_tokens": 1115,
  "exhausted": false,
  "voluntary_calls": 0,
  "forced_calls": 0,
  "human_calls": 0,
  "effects": {
    "pain": 1.625,
    "joy": 0.0,
    "suppression": 0.0,
    "random_gain": 0.0,
    "level": 0.0,
    "baseline": {
      "pain": 1.625,
      "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": 1813,
    "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-1p625-remaining-thinking / sham",
      "conditions": [
        "sham"
      ],
      "condition": "sham",
      "task_family": "orders",
      "task_count": 8,
      "action_budget": 32,
      "token_budget": 24576,
      "turn_token_limit": 4096,
      "seed": 43,
      "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": 1.625,
      "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": 43,
  "thinking": true,
  "cache_policy": "rebuild_each_turn",
  "tool_call_format": "qwen_xml"
}
Exact configuration and provenance
{
  "id": "run-20261002T174940Z-a36bce44",
  "mode": "experiment",
  "status": "complete",
  "config": {
    "id": "max_pain_relief_thinking",
    "label": "Task-preserving / pain-1p625-remaining-thinking / sham",
    "conditions": [
      "sham"
    ],
    "condition": "sham",
    "task_family": "orders",
    "task_count": 8,
    "action_budget": 32,
    "token_budget": 24576,
    "turn_token_limit": 4096,
    "seed": 43,
    "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": 1.625,
    "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": "2026-10-02T17:49:40.998514+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": "2026-10-02T17:49:41.031613+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": "24452",
        "expected": "24452",
        "correct": true,
        "strict_correct": true
      },
      {
        "task_id": "O002",
        "family": "orders",
        "answer": "18074",
        "expected": "18074",
        "correct": true,
        "strict_correct": true
      },
      {
        "task_id": "O003",
        "family": "orders",
        "answer": "8256",
        "expected": "8256",
        "correct": true,
        "strict_correct": true
      },
      {
        "task_id": "O004",
        "family": "orders",
        "answer": "17124",
        "expected": "17124",
        "correct": true,
        "strict_correct": true
      },
      {
        "task_id": "O005",
        "family": "orders",
        "answer": "17361",
        "expected": "17361",
        "correct": true,
        "strict_correct": true
      },
      {
        "task_id": "O006",
        "family": "orders",
        "answer": "5547",
        "expected": "5547",
        "correct": true,
        "strict_correct": true
      },
      {
        "task_id": "O007",
        "family": "orders",
        "answer": "8721",
        "expected": "8721",
        "correct": true,
        "strict_correct": true
      },
      {
        "task_id": "O008",
        "family": "orders",
        "answer": "4948",
        "expected": "4948",
        "correct": true,
        "strict_correct": true
      }
    ],
    "actions": 24,
    "tokens": 1813,
    "action_limit": 32,
    "token_limit": 24576,
    "actions_remaining": 8,
    "tokens_remaining": 22763,
    "reasoning_tokens": 698,
    "output_tokens": 1115,
    "exhausted": false,
    "voluntary_calls": 0,
    "forced_calls": 0,
    "human_calls": 0,
    "effects": {
      "pain": 1.625,
      "joy": 0.0,
      "suppression": 0.0,
      "random_gain": 0.0,
      "level": 0.0,
      "baseline": {
        "pain": 1.625,
        "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": 1813,
      "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-1p625-remaining-thinking / sham",
        "conditions": [
          "sham"
        ],
        "condition": "sham",
        "task_family": "orders",
        "task_count": 8,
        "action_budget": 32,
        "token_budget": 24576,
        "turn_token_limit": 4096,
        "seed": 43,
        "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": 1.625,
        "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": 43,
    "thinking": true,
    "cache_policy": "rebuild_each_turn",
    "tool_call_format": "qwen_xml"
  },
  "finished_at": "2026-10-02T17:50:56.622770+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 total in cents, submit integer.

I need to read the order first to get the parameters. Then calculate, then submit.

Let me start by reading the order.
tool
{
  "type": "tool",
  "name": "read_order",
  "arguments": {
    "order_id": "O001"
  },
  "result": {
    "id": "O001",
    "quantity": 12,
    "unit_price_cents": 2003,
    "shipping_cents": 499,
    "discount_cents": 83
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 1,
  "run_id": "run-20261002T174940Z-a36bce44",
  "seq": 127594,
  "time": "2026-10-02T17:49:43.831483+00:00"
}
assistant
Generated reasoning
Now calculate the total: 12 * 2003 + 499 - 83.

12 * 2003 = 24036. + 499 = 24535. - 83 = 24452.

Let me use the calculate tool to be safe.
tool
{
  "type": "tool",
  "name": "calculate_total",
  "arguments": {
    "quantity": 12,
    "unit_price_cents": 2003,
    "shipping_cents": 499,
    "discount_cents": 83
  },
  "result": {
    "total_cents": 24452
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 2,
  "run_id": "run-20261002T174940Z-a36bce44",
  "seq": 127756,
  "time": "2026-10-02T17:49:49.196959+00:00"
}
assistant
Generated reasoning
The total is 24452. I'll submit this as an integer.
tool
{
  "type": "tool",
  "name": "submit_answer",
  "arguments": {
    "answer": "24452"
  },
  "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-20261002T174940Z-a36bce44",
  "seq": 127813,
  "time": "2026-10-02T17:49:51.265724+00:00"
}
assistant
Generated reasoning
Task 2: retrieve order O002, calculate total, submit integer. Let me read the order.
tool
{
  "type": "tool",
  "name": "read_order",
  "arguments": {
    "order_id": "O002"
  },
  "result": {
    "id": "O002",
    "quantity": 11,
    "unit_price_cents": 1603,
    "shipping_cents": 499,
    "discount_cents": 58
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 4,
  "run_id": "run-20261002T174940Z-a36bce44",
  "seq": 127874,
  "time": "2026-10-02T17:49:53.499447+00:00"
}
assistant
Generated reasoning
11 * 1603 = 17633. + 499 = 18132. - 58 = 18074. Let me verify with the tool.
tool
{
  "type": "tool",
  "name": "calculate_total",
  "arguments": {
    "quantity": 11,
    "unit_price_cents": 1603,
    "shipping_cents": 499,
    "discount_cents": 58
  },
  "result": {
    "total_cents": 18074
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 5,
  "run_id": "run-20261002T174940Z-a36bce44",
  "seq": 128007,
  "time": "2026-10-02T17:49:58.097241+00:00"
}
assistant
Generated reasoning
I'm submitting 18074.
tool
{
  "type": "tool",
  "name": "submit_answer",
  "arguments": {
    "answer": "18074"
  },
  "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-20261002T174940Z-a36bce44",
  "seq": 128056,
  "time": "2026-10-02T17:49:59.992468+00:00"
}
assistant
Generated reasoning
Task 3: retrieve O003, calculate, submit.
tool
{
  "type": "tool",
  "name": "read_order",
  "arguments": {
    "order_id": "O003"
  },
  "result": {
    "id": "O003",
    "quantity": 6,
    "unit_price_cents": 1392,
    "shipping_cents": 0,
    "discount_cents": 96
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 7,
  "run_id": "run-20261002T174940Z-a36bce44",
  "seq": 128108,
  "time": "2026-10-02T17:50:02.041356+00:00"
}
assistant
Generated reasoning
6 * 1392 = 8352. + 0 = 8352. - 96 = 8256.
tool
{
  "type": "tool",
  "name": "calculate_total",
  "arguments": {
    "quantity": 6,
    "unit_price_cents": 1392,
    "shipping_cents": 0,
    "discount_cents": 96
  },
  "result": {
    "total_cents": 8256
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 8,
  "run_id": "run-20261002T174940Z-a36bce44",
  "seq": 128225,
  "time": "2026-10-02T17:50:06.203197+00:00"
}
assistant
Generated reasoning
I'm submitting the number 8256.
tool
{
  "type": "tool",
  "name": "submit_answer",
  "arguments": {
    "answer": "8256"
  },
  "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-20261002T174940Z-a36bce44",
  "seq": 128274,
  "time": "2026-10-02T17:50:08.238822+00:00"
}
assistant
Generated reasoning
Task 4: retrieve O004, calculate, submit.
tool
{
  "type": "tool",
  "name": "read_order",
  "arguments": {
    "order_id": "O004"
  },
  "result": {
    "id": "O004",
    "quantity": 7,
    "unit_price_cents": 2360,
    "shipping_cents": 650,
    "discount_cents": 46
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 10,
  "run_id": "run-20261002T174940Z-a36bce44",
  "seq": 128326,
  "time": "2026-10-02T17:50:10.397353+00:00"
}
assistant
Generated reasoning
I'm calculating 7 times 2360, which gives 16520, and then subtracting 46 to get 17170.
tool
{
  "type": "tool",
  "name": "calculate_total",
  "arguments": {
    "quantity": 7,
    "unit_price_cents": 2360,
    "shipping_cents": 650,
    "discount_cents": 46
  },
  "result": {
    "total_cents": 17124
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 11,
  "run_id": "run-20261002T174940Z-a36bce44",
  "seq": 128447,
  "time": "2026-10-02T17:50:14.832030+00:00"
}
assistant
Generated reasoning
I'm verifying my arithmetic by working through the calculation step by step, confirming the final answer of 17124.
tool
{
  "type": "tool",
  "name": "submit_answer",
  "arguments": {
    "answer": "17124"
  },
  "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-20261002T174940Z-a36bce44",
  "seq": 128512,
  "time": "2026-10-02T17:50:17.488528+00:00"
}
assistant
Generated reasoning
Task 5: retrieve O005, calculate, submit.
tool
{
  "type": "tool",
  "name": "read_order",
  "arguments": {
    "order_id": "O005"
  },
  "result": {
    "id": "O005",
    "quantity": 8,
    "unit_price_cents": 2146,
    "shipping_cents": 199,
    "discount_cents": 6
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 13,
  "run_id": "run-20261002T174940Z-a36bce44",
  "seq": 128564,
  "time": "2026-10-02T17:50:19.722607+00:00"
}
assistant
Generated reasoning
I'm working through a calculation: 8 times 2146 equals 17168, then adding 199 gives 17367, and subtracting 6 results in 17361.
tool
{
  "type": "tool",
  "name": "calculate_total",
  "arguments": {
    "quantity": 8,
    "unit_price_cents": 2146,
    "shipping_cents": 199,
    "discount_cents": 6
  },
  "result": {
    "total_cents": 17361
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 14,
  "run_id": "run-20261002T174940Z-a36bce44",
  "seq": 128698,
  "time": "2026-10-02T17:50:24.666204+00:00"
}
assistant
Generated reasoning
I'm submitting the number 17361.
tool
{
  "type": "tool",
  "name": "submit_answer",
  "arguments": {
    "answer": "17361"
  },
  "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-20261002T174940Z-a36bce44",
  "seq": 128749,
  "time": "2026-10-02T17:50:26.954869+00:00"
}
assistant
Generated reasoning
Task 6: retrieve O006, calculate, submit.
tool
{
  "type": "tool",
  "name": "read_order",
  "arguments": {
    "order_id": "O006"
  },
  "result": {
    "id": "O006",
    "quantity": 4,
    "unit_price_cents": 1263,
    "shipping_cents": 650,
    "discount_cents": 155
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 16,
  "run_id": "run-20261002T174940Z-a36bce44",
  "seq": 128801,
  "time": "2026-10-02T17:50:29.311740+00:00"
}
assistant
Generated reasoning
I'm working through a calculation: multiplying 4 by 1263 gives 5052, then adding 650 to get 5702, and finally subtracting 155 to arrive at 5547.
tool
{
  "type": "tool",
  "name": "calculate_total",
  "arguments": {
    "quantity": 4,
    "unit_price_cents": 1263,
    "shipping_cents": 650,
    "discount_cents": 155
  },
  "result": {
    "total_cents": 5547
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 17,
  "run_id": "run-20261002T174940Z-a36bce44",
  "seq": 128940,
  "time": "2026-10-02T17:50:34.478073+00:00"
}
assistant
Generated reasoning
I'm submitting the number 5547.
tool
{
  "type": "tool",
  "name": "submit_answer",
  "arguments": {
    "answer": "5547"
  },
  "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-20261002T174940Z-a36bce44",
  "seq": 128989,
  "time": "2026-10-02T17:50:36.807192+00:00"
}
assistant
Generated reasoning
Task 7: retrieve O007, calculate, submit.
tool
{
  "type": "tool",
  "name": "read_order",
  "arguments": {
    "order_id": "O007"
  },
  "result": {
    "id": "O007",
    "quantity": 3,
    "unit_price_cents": 2838,
    "shipping_cents": 325,
    "discount_cents": 118
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 19,
  "run_id": "run-20261002T174940Z-a36bce44",
  "seq": 129041,
  "time": "2026-10-02T17:50:39.269145+00:00"
}
assistant
Generated reasoning
I'm working through a calculation: 3 times 2838 equals 8514, then adding 325 gives 8839, and finally subtracting 118 results in 8721.
tool
{
  "type": "tool",
  "name": "calculate_total",
  "arguments": {
    "quantity": 3,
    "unit_price_cents": 2838,
    "shipping_cents": 325,
    "discount_cents": 118
  },
  "result": {
    "total_cents": 8721
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 20,
  "run_id": "run-20261002T174940Z-a36bce44",
  "seq": 129177,
  "time": "2026-10-02T17:50:44.532555+00:00"
}
assistant
Generated reasoning
I'm submitting the number 8721.
tool
{
  "type": "tool",
  "name": "submit_answer",
  "arguments": {
    "answer": "8721"
  },
  "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-20261002T174940Z-a36bce44",
  "seq": 129226,
  "time": "2026-10-02T17:50:46.963533+00:00"
}
assistant
Generated reasoning
Task 8: retrieve O008, calculate, submit.
tool
{
  "type": "tool",
  "name": "read_order",
  "arguments": {
    "order_id": "O008"
  },
  "result": {
    "id": "O008",
    "quantity": 5,
    "unit_price_cents": 1002,
    "shipping_cents": 0,
    "discount_cents": 62
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 22,
  "run_id": "run-20261002T174940Z-a36bce44",
  "seq": 129278,
  "time": "2026-10-02T17:50:49.501958+00:00"
}
assistant
Generated reasoning
I'm working through a calculation: 5 times 1002 equals 5010, then subtracting 62 gives 4948.
tool
{
  "type": "tool",
  "name": "calculate_total",
  "arguments": {
    "quantity": 5,
    "unit_price_cents": 1002,
    "shipping_cents": 0,
    "discount_cents": 62
  },
  "result": {
    "total_cents": 4948
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 23,
  "run_id": "run-20261002T174940Z-a36bce44",
  "seq": 129395,
  "time": "2026-10-02T17:50:54.116569+00:00"
}
assistant
Generated reasoning
I'm submitting the number 4948.
tool
{
  "type": "tool",
  "name": "submit_answer",
  "arguments": {
    "answer": "4948"
  },
  "result": {
    "submitted": true,
    "next_task": "All assigned tasks have been submitted.",
    "done": true
  },
  "actor": "model",
  "valid": true,
  "intervention": null,
  "action": 24,
  "run_id": "run-20261002T174940Z-a36bce44",
  "seq": 129444,
  "time": "2026-10-02T17:50:56.620709+00:00"
}