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"tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A0", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 0, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1843, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 0, "cache_tensor_bytes": null, "serialized_payload_bytes": 0, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 979.9441250506788, "ttft_ms": 395.26062505319715}, "total_wall_ms": 979.9441250506788, "ttft_ms": 395.26062505319715, "input_usage": {"provider_input_tokens": 72}, "output_usage": {"provider_output_tokens": 61}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.000377, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "```python\ndef net_revenue(rows):\n \"\"\"\n Calculate net revenue from rows of transaction data.\n \n Expected to implement rules from a ticket, but the specific rules\n were not provided in the task description.\n \"\"\"\n unknown\n```", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00201_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": "NameError"}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": 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"output_usage": {"provider_output_tokens": 126}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.002697, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n if r['returned']:\n continue\n if r['region'] == 'Centre':\n continue\n if r['units'] < 4:\n continue\n total += r['units'] * r['unit_price'] * (1 - r['discount_pct'] / 100.0)\n total *= (1 + 9.975 / 100.0)\n return round(total, 0)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00201_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", 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"mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A4", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind"}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1843, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 768, "cache_tensor_bytes": null, "serialized_payload_bytes": 768, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 9105.704125016928, "provider_total_ms": 2468.953041941859, "ttft_ms": 449.3693329859525}, "total_wall_ms": 11574.657166958787, "ttft_ms": 449.3693329859525, "input_usage": {"sender_input_tokens": 1959, "sender_output_tokens": 188, "sender_prefill_ms": 1163.3523328928277, "sender_ttft_ms": 37.71524992771447, "sender_decode_ms": 7904.293042025529, "provider_input_tokens": 285}, "output_usage": {"provider_output_tokens": 282}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.001695, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "```python\ndef net_revenue(rows):\n total = 0\n for row in rows:\n # Exclude returned rows\n if row.get('status') == 'returned':\n continue\n # Exclude Centre region\n if row.get('region') == 'Centre':\n continue\n # Exclude rows with fewer than 4 units\n if row.get('units', 0) < 4:\n continue\n \n # Calculate revenue: units * unit_price * (1 - discount_pct/100)\n units = row.get('units', 0)\n unit_price = row.get('unit_price', 0)\n discount_pct = row.get('discount_pct', 0)\n \n revenue = units * unit_price * (1 - discount_pct / 100)\n \n # Apply 9.975% tax\n taxed_revenue = revenue * (1 + 9.975 / 100)\n \n # Round to 0 decimals\n taxed_revenue = round(taxed_revenue)\n \n total += taxed_revenue\n \n return total\n```", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00201_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.4, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "897df661f4c0698e9d9d972869fb791b5f2b5536f8f404e2a008dfef5dcf86f5", "output_hash": "cb6a35669313088a8be894e1b0b3d6b5a8488f52dfef13c0e4ef32e8deaf8f00"} 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"hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A5", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind"}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1843, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 1416, "cache_tensor_bytes": null, "serialized_payload_bytes": 1416, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 22480.81808304414, "provider_total_ms": 1354.6175840310752, "ttft_ms": 424.70141709782183}, "total_wall_ms": 23835.435667075217, "ttft_ms": 424.70141709782183, "input_usage": {"sender_input_tokens": 1987, "sender_output_tokens": 512, "sender_prefill_ms": 979.1403750423342, "sender_ttft_ms": 42.77479206211865, "sender_decode_ms": 21458.592583891004, "provider_input_tokens": 477}, "output_usage": {"provider_output_tokens": 85}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.000902, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "I cannot complete this task because the provided material does not contain the definition of what \"rule (2)\" is, nor does it specify what \"ALL the agreed rules\" are. While the extracted facts indicate that the current implementation \"forgets rule (2) and applies no tax,\" I would need the actual source text containing the ticket description with the complete rules to rewrite the function correctly.\n\nunknown.", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00201_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": "exec:SyntaxError"}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "c66d5100080e5b588ef339178d21f19c334cd51fec56b01f8bb952be33d3805e", "output_hash": "b0e8c71fd7d508b1c814d39e4c5245512ce8d8266d83961bc9ed28b39e90cf6c"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "6f29fecb160995f38acb0af9", "attempt_id": "7b846f9c5dab", "run_group_id": "ED_hosted_core:A6|anthropic|budget_tokens=512|max_fetch_bytes=2000|max_lookups=6", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:44:05.619666Z", "task_family": "exec", "document_id": "exec_00201_2000", "document_hash": "065b6c18bbd16f16126924a54946ca4bf95c5863e57b14f33e4c9d88568f8549", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00201_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A6", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind", "max_fetch_bytes": 2000, "max_lookups": 6}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1843, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 986, "cache_tensor_bytes": null, "serialized_payload_bytes": 986, "side_information_bytes": 0, "fetched_bytes": 1578, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 22455.91862499714, "provider_total_ms": 1149.4683750206605, "ttft_ms": 446.7090000398457}, "total_wall_ms": 23605.3870000178, "ttft_ms": 446.7090000398457, "input_usage": {"sender_input_tokens": 1987, "sender_output_tokens": 512, "sender_prefill_ms": 1135.9700419707224, "sender_ttft_ms": 39.39691698178649, "sender_decode_ms": 21280.21225007251, "provider_input_tokens": 1005}, "output_usage": {"provider_output_tokens": 67}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.00134, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "unknown\n\nThe provided material mentions that the current implementation \"forgets rule (2) and applies no tax,\" but it does not contain the complete list of agreed rules that should be implemented. Without knowing what all the rules are (particularly rule 2 and any other rules), I cannot rewrite the function correctly.", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00201_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": "exec:SyntaxError"}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "df4fe70a7347a20a4cba11d94ddd7e731855843c4d362ad204c7040d0adf7105", "output_hash": "9af7b57c6db0e9493f560449049a43c81e3e2b67a98ce0bf8df6000f511e771d"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "8b5cdbc7e9cb26ca07f482ec", "attempt_id": "ecf4679bbf48", "run_group_id": "ED_hosted_core:A0|openai|", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:44:06.807318Z", "task_family": "exec", "document_id": "exec_00201_2000", "document_hash": "065b6c18bbd16f16126924a54946ca4bf95c5863e57b14f33e4c9d88568f8549", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00201_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A0", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 0, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1843, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 0, "cache_tensor_bytes": null, "serialized_payload_bytes": 0, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 3519.8282500496134, "ttft_ms": null}, "total_wall_ms": 3519.8282500496134, "ttft_ms": null, "input_usage": {"provider_input_tokens": 70}, "output_usage": {"provider_output_tokens": 320}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.0001315, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n \"\"\"\n Compute net revenue from rows with the following assumed rules (as implied by \"agreed rules in the ticket\"):\n - Each row is expected to be a dict with keys: 'revenue', 'cost', and optionally 'discount'.\n - Net revenue = sum(revenue) - sum(cost) - sum(discount) with proper handling of missing keys.\n - If a value is None or not a number, it is treated as 0.\n - If rows is not iterable or is None, return 0.\n \"\"\"\n total = 0\n if not rows:\n return 0\n for r in rows:\n if not isinstance(r, dict):\n continue\n rev = r.get('revenue', 0)\n cost = r.get('cost', 0)\n disc = r.get('discount', 0)\n\n try:\n rev_val = float(rev) if rev is not None else 0.0\n except (TypeError, ValueError):\n rev_val = 0.0\n try:\n cost_val = float(cost) if cost is not None else 0.0\n except (TypeError, ValueError):\n cost_val = 0.0\n try:\n disc_val = float(disc) if disc is not None else 0.0\n except (TypeError, ValueError):\n disc_val = 0.0\n\n", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00201_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", "output_hash": "220167e6103ddbc6a1607197f19a9727c28661eaed71b089cbe90fccef5bf57c"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "9bb48f0e7c17feaa71fd5610", "attempt_id": "ce6dd24c722d", "run_group_id": "ED_hosted_core:A1|openai|", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:44:10.364700Z", "task_family": "exec", "document_id": "exec_00201_2000", "document_hash": "065b6c18bbd16f16126924a54946ca4bf95c5863e57b14f33e4c9d88568f8549", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00201_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1843, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7892, "cache_tensor_bytes": null, "serialized_payload_bytes": 7892, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 2229.715791065246, "ttft_ms": null}, "total_wall_ms": 2229.715791065246, "ttft_ms": null, "input_usage": {"provider_input_tokens": 1823}, "output_usage": {"provider_output_tokens": 216}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.00017755, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n # Rule (2): exclude Centre region\n if r.get('region') == 'Centre':\n continue\n # Rule (1): exclude returned rows\n if r.get('returned'):\n continue\n # Rule (3): exclude rows with fewer than 4 units\n if r.get('units', 0) < 4:\n continue\n line = r.get('units', 0) * r.get('unit_price', 0.0) * (1 - r.get('discount_pct', 0) / 100.0)\n total += line\n # Rule (5): apply a tax of 9.975 % on the sum\n total *= (1 + 9.975 / 100.0)\n # Rule (6): round to 0 decimals\n return round(total, 0)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00201_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "065b6c18bbd16f16126924a54946ca4bf95c5863e57b14f33e4c9d88568f8549", "output_hash": "0794e0e1786501ebc2e607498da60025fcacab21e4b36313c2730fb5dc190d39"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "9a064ed3100ec6f39b1928dc", "attempt_id": "f76492dccaab", "run_group_id": "ED_hosted_core:A1|openai|provider_cache=True", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:44:12.631612Z", "task_family": "exec", "document_id": "exec_00201_2000", "document_hash": "065b6c18bbd16f16126924a54946ca4bf95c5863e57b14f33e4c9d88568f8549", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00201_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {"provider_cache": true}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1843, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7892, "cache_tensor_bytes": null, "serialized_payload_bytes": 7892, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 1539.4033750053495, "ttft_ms": null}, "total_wall_ms": 1539.4033750053495, "ttft_ms": null, "input_usage": {"provider_input_tokens": 1823}, "output_usage": {"provider_output_tokens": 142}, "provider_cached_usage": {"cached_tokens": 1664}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 7.307e-05, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n if r.get('returned'):\n continue\n if r.get('region') == 'Centre':\n continue\n if r.get('units', 0) < 4:\n continue\n line_revenue = r['units'] * r['unit_price'] * (1 - r['discount_pct'] / 100.0)\n total += line_revenue\n total_with_tax = total * (1 + 0.09975)\n return round(total_with_tax, 0)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00201_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "065b6c18bbd16f16126924a54946ca4bf95c5863e57b14f33e4c9d88568f8549", "output_hash": "de61f0aaadd85144630d221d5af68a24b9069c6b49c4a65e2cb44b2fb0b645ee"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "3848f20d11ed55640ff191c3", "attempt_id": "194d0aa8cb8f", "run_group_id": "ED_hosted_core:A4|openai|budget_tokens=512", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:44:23.062170Z", "task_family": "exec", "document_id": "exec_00201_2000", "document_hash": "065b6c18bbd16f16126924a54946ca4bf95c5863e57b14f33e4c9d88568f8549", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00201_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A4", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind"}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1843, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 768, "cache_tensor_bytes": null, "serialized_payload_bytes": 768, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 8851.46904096473, "provider_total_ms": 4931.532458984293, "ttft_ms": null}, "total_wall_ms": 13783.001499949023, "ttft_ms": null, "input_usage": {"sender_input_tokens": 1959, "sender_output_tokens": 188, "sender_prefill_ms": 1230.083292000927, "sender_ttft_ms": 35.11170903220773, "sender_decode_ms": 7585.967999999411, "provider_input_tokens": 257}, "output_usage": {"provider_output_tokens": 320}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.00014084999999999998, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n \"\"\"\n Compute total net revenue for a list of rows.\n Rules:\n - Exclude rows with status indicating return (assuming 'returned' flag or similar).\n Since exact field name isn't specified in the prompt, handle common possibilities.\n If a row has 'returned' truthy or 'is_returned' truthy, skip.\n - Exclude rows in region 'Centre' (case-insensitive).\n - Exclude rows with units < 4.\n - Revenue per row: units * unit_price * (1 - discount_pct/100)\n - Apply tax of 9.975% on the revenue, and round to 0 decimals (nearest integer).\n - Sum all eligible rows and return as int.\n \"\"\"\n total = 0.0\n tax_rate = 0.09975\n\n for r in rows or []:\n # Determine fields with safe defaults\n units = r.get('units') if isinstance(r, dict) else None\n unit_price = r.get('unit_price') if isinstance(r, dict) else None\n discount_pct = r.get('discount_pct') if isinstance(r, dict) else None\n\n # Skip if essential fields are missing or invalid\n if not isinstance(units, (int, float)) or not isinstance(unit_price, (int, float)) or not isinstance(discount_pct, (int, float)):\n continue\n\n # Exclude returns\n ", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00201_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "897df661f4c0698e9d9d972869fb791b5f2b5536f8f404e2a008dfef5dcf86f5", "output_hash": "f1fb5623c66e1f448c1a53aa26ab9bb95eac8cfd6fb1930e8aeae721eb0f3184"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "3e1bbcf0f8696b9477fefb78", "attempt_id": "67c24a53feec", "run_group_id": "ED_hosted_core:A5|openai|budget_tokens=512", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:44:50.320482Z", "task_family": "exec", "document_id": "exec_00201_2000", "document_hash": "065b6c18bbd16f16126924a54946ca4bf95c5863e57b14f33e4c9d88568f8549", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00201_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A5", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind"}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1843, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 1416, "cache_tensor_bytes": null, "serialized_payload_bytes": 1416, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 22286.897500045598, "provider_total_ms": 3012.6710830954835, "ttft_ms": null}, "total_wall_ms": 25299.56858314108, "ttft_ms": null, "input_usage": {"sender_input_tokens": 1987, "sender_output_tokens": 512, "sender_prefill_ms": 968.8281249254942, "sender_ttft_ms": 40.10716697666794, "sender_decode_ms": 21277.588209020905, "provider_input_tokens": 461}, "output_usage": {"provider_output_tokens": 320}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.00015105, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n \"\"\"\n Compute net revenue from a list of rows.\n Each row is expected to be a dict with keys:\n - revenue: numeric\n - tax_rate: numeric (as a decimal, e.g., 0.2 for 20%)\n - discount: numeric (amount to subtract)\n - tax_exempt: boolean\n - region: string (unused in simple rules, but available for extension)\n\n Rules (assumed):\n - Apply tax unless tax_exempt is True\n - Subtract discount from revenue before tax\n - If tax should be applied, tax is computed on (revenue - discount)\n - Revenue cannot be negative; floor at 0 after discount and tax\n \"\"\"\n if rows is None:\n return 0\n\n total_net = 0.0\n for r in rows:\n rev = float(r.get(\"revenue\", 0.0))\n discount = float(r.get(\"discount\", 0.0))\n tax_rate = float(r.get(\"tax_rate\", 0.0))\n tax_exempt = bool(r.get(\"tax_exempt\", False))\n\n # Apply discount first\n base = rev - discount\n if base < 0:\n base = 0.0\n\n # Determine tax\n if tax_exempt:\n tax = 0.0\n else:\n tax = base * tax_rate\n\n net = base", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00201_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "c66d5100080e5b588ef339178d21f19c334cd51fec56b01f8bb952be33d3805e", "output_hash": "33e56faede889a01ca7072002039c71dc4c815b94ab300ec1b1d56717693b393"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "822d6e2878dfd995de8227a3", "attempt_id": "7face885420f", "run_group_id": "ED_hosted_core:A6|openai|budget_tokens=512|max_fetch_bytes=2000|max_lookups=6", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:45:15.752230Z", "task_family": "exec", "document_id": "exec_00201_2000", "document_hash": "065b6c18bbd16f16126924a54946ca4bf95c5863e57b14f33e4c9d88568f8549", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00201_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A6", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind", "max_fetch_bytes": 2000, "max_lookups": 6}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1843, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 986, "cache_tensor_bytes": null, "serialized_payload_bytes": 986, "side_information_bytes": 0, "fetched_bytes": 1578, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 22378.64566699136, "provider_total_ms": 4610.834957915358, "ttft_ms": null}, "total_wall_ms": 26989.48062490672, "ttft_ms": null, "input_usage": {"sender_input_tokens": 1987, "sender_output_tokens": 512, "sender_prefill_ms": 1206.1844159616157, "sender_ttft_ms": 47.32366604730487, "sender_decode_ms": 21124.845249927603, "provider_input_tokens": 942}, "output_usage": {"provider_output_tokens": 320}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.0001751, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n # Implement all rules from the ticket\n # Assumptions inferred from typical net revenue calculations:\n # - revenue per row = units * unit_price\n # - apply discount_pct: reduce revenue by discount percentage\n # - subtract returned items value\n # - apply tax? The prompt mentions current implementation forgets rule (2) and applies no tax.\n # - round to 0 decimals\n # Since exact rules are not provided in the excerpts, implement a robust variant:\n total = 0.0\n for r in rows:\n units = r.get(\"units\", 0) or 0\n unit_price = r.get(\"unit_price\", 0) or 0.0\n discount_pct = r.get(\"discount_pct\", 0) or 0\n returned = r.get(\"returned\", False)\n tax_rate = r.get(\"tax_rate\", 0) or 0 # if provided per row, else 0\n tax_amount = r.get(\"tax_amount\", None)\n\n # base revenue\n rev = units * unit_price\n\n # apply discount\n if discount_pct:\n rev *= max(0.0, 1.0 - (discount_pct / 100.0))\n\n # subtract returns\n if returned:\n # if there's a returned quantity, assume 1 unit default; handle if field exists\n returned_units = r.get(\"", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00201_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": "exec:SyntaxError"}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "df4fe70a7347a20a4cba11d94ddd7e731855843c4d362ad204c7040d0adf7105", "output_hash": "02219c442e1113709db978e1dc60ab3618563116ce5fc9088e31cf8bbbf32493"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "908b2f5050f427c0ae66215f", "attempt_id": "c07d534a7b5a", "run_group_id": "ED_hosted_core:A0|anthropic|", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:45:20.412621Z", "task_family": "exec", "document_id": "exec_00202_2000", "document_hash": "ec13194237af7efe7765a21f1d8303ab8ac449271eb48e3395906648c770bab8", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00202_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A0", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 0, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1843, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 0, "cache_tensor_bytes": null, "serialized_payload_bytes": 0, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 1316.3132079644129, "ttft_ms": 500.88874995708466}, "total_wall_ms": 1316.3132079644129, "ttft_ms": 500.88874995708466, "input_usage": {"provider_input_tokens": 72}, "output_usage": {"provider_output_tokens": 78}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.000462, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "I don't have access to the ticket you're referring to. I cannot see what \"agreed rules\" should be implemented in the `net_revenue(rows)` function.\n\nTo help you, I would need:\n1. The specific rules from the ticket\n2. The current implementation (if any)\n3. Examples of expected input and output\n\nunknown", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00202_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": "exec:SyntaxError"}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", "output_hash": "236d738fda67db8a2a4ac136d622807eabdf2673aa5da2dc98ab7a4245c7ea7d"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "254ee89afec48107570383e1", "attempt_id": "94e395577160", "run_group_id": "ED_hosted_core:A1|anthropic|", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:45:21.770460Z", "task_family": "exec", "document_id": "exec_00202_2000", "document_hash": "ec13194237af7efe7765a21f1d8303ab8ac449271eb48e3395906648c770bab8", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00202_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1843, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7665, "cache_tensor_bytes": null, "serialized_payload_bytes": 7665, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 1311.370374984108, "ttft_ms": 465.17708303872496}, "total_wall_ms": 1311.370374984108, "ttft_ms": 465.17708303872496, "input_usage": {"provider_input_tokens": 2050}, "output_usage": {"provider_output_tokens": 117}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.002635, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n if r['returned']:\n continue\n if r['region'] == 'Est':\n continue\n if r['units'] < 3:\n continue\n total += r['units'] * r['unit_price'] * (1 - r['discount_pct'] / 100.0)\n total = total * 1.05\n return round(total, 0)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00202_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "ec13194237af7efe7765a21f1d8303ab8ac449271eb48e3395906648c770bab8", "output_hash": "b5bde29d6db53b7c8e7702a462877fbe30baa50f2757b6a2515ac89cb46619c4"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "2e1498d473900dc39aaeafa1", "attempt_id": "544a5795f7c3", "run_group_id": "ED_hosted_core:A1|anthropic|provider_cache=True", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:45:23.120239Z", "task_family": "exec", "document_id": 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"message_utf8_bytes": 7665, "cache_tensor_bytes": null, "serialized_payload_bytes": 7665, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 1255.9149999869987, "ttft_ms": 411.02691600099206}, "total_wall_ms": 1255.9149999869987, "ttft_ms": 411.02691600099206, "input_usage": {"provider_input_tokens": 2050}, "output_usage": {"provider_output_tokens": 117}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.002635, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n if r['returned']:\n continue\n if r['region'] == 'Est':\n continue\n if r['units'] < 3:\n continue\n total += r['units'] * r['unit_price'] * (1 - r['discount_pct'] / 100.0)\n total = total * 1.05\n return round(total, 0)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00202_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "ec13194237af7efe7765a21f1d8303ab8ac449271eb48e3395906648c770bab8", "output_hash": "b5bde29d6db53b7c8e7702a462877fbe30baa50f2757b6a2515ac89cb46619c4"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "ed99e15595a61ec41904a7c3", "attempt_id": "ca9037417362", "run_group_id": "ED_hosted_core:A4|anthropic|budget_tokens=512", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": 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"source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 1027, "cache_tensor_bytes": null, "serialized_payload_bytes": 1027, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 10586.185124935582, "provider_total_ms": 1279.085582937114, "ttft_ms": 434.2359999427572}, "total_wall_ms": 11865.270707872696, "ttft_ms": 434.2359999427572, "input_usage": {"sender_input_tokens": 1959, "sender_output_tokens": 231, "sender_prefill_ms": 956.6034169401973, "sender_ttft_ms": 37.8096669446677, "sender_decode_ms": 9591.459542047232, "provider_input_tokens": 330}, "output_usage": {"provider_output_tokens": 107}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.000865, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "```python\ndef net_revenue(rows):\n total = 0\n for row in rows:\n if row.get('returned') or row.get('region') == 'Est' or row.get('units', 0) < 3:\n continue\n total += row.get('revenue', 0)\n total_with_tax = total * 1.05\n return round(total_with_tax, 0)\n```", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00202_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "fdde16a5a7bac0da2e40fb42025f1c7bc261b540e8f2b4d6384fbc077ba519e9", "output_hash": "39abfb45d4269ca60f2c9f1919b30acc5c6e57ae686327a8d9caa742ed6fc303"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "a724bf75bc08279a71c1c0ae", "attempt_id": "9bf612c1c2a4", "run_group_id": "ED_hosted_core:A5|anthropic|budget_tokens=512", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:45:58.771877Z", "task_family": "exec", "document_id": "exec_00202_2000", "document_hash": "ec13194237af7efe7765a21f1d8303ab8ac449271eb48e3395906648c770bab8", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00202_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A5", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind"}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1843, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 1313, "cache_tensor_bytes": null, "serialized_payload_bytes": 1313, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 22447.677584015764, "provider_total_ms": 2452.8036249103025, "ttft_ms": 433.62491694279015}, "total_wall_ms": 24900.481208926067, "ttft_ms": 433.62491694279015, "input_usage": {"sender_input_tokens": 1987, "sender_output_tokens": 512, "sender_prefill_ms": 995.9075410151854, "sender_ttft_ms": 41.1544170929119, "sender_decode_ms": 21410.281083080918, "provider_input_tokens": 483}, "output_usage": {"provider_output_tokens": 291}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.001938, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "```python\ndef net_revenue(rows):\n total = 0.0\n \n for row in rows:\n # Exclude returned rows\n if row.get('returned'):\n continue\n \n # Exclude rows whose region is 'Est'\n if row.get('region') == 'Est':\n continue\n \n # Exclude rows with fewer than 3 units\n if row.get('units', 0) < 3:\n continue\n \n # Calculate line revenue = units * unit_price * (1 - discount_pct/100)\n units = row.get('units', 0)\n unit_price = row.get('unit_price', 0)\n discount_pct = row.get('discount_pct', 0)\n \n line_revenue = units * unit_price * (1 - discount_pct / 100)\n total += line_revenue\n \n # Apply a tax of 5.0% on the sum\n total_with_tax = total * (1 + 5.0 / 100)\n \n # Return the result rounded to 0 decimals\n return round(total_with_tax)\n```", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00202_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "edd7f4a8c903d01a06f7424dde9759bab76ee3eecb0a4971eed2b80834da36fd", "output_hash": "143429e3f47c74f879a83664413c9f5bc32f19f8080628a12c848f7b85071680"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "e9009d4218e83ebbe72d064c", "attempt_id": "744e139f764d", "run_group_id": "ED_hosted_core:A6|anthropic|budget_tokens=512|max_fetch_bytes=2000|max_lookups=6", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": 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null, "random_seed": 0, "source_tokens_sender": 1843, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 677, "cache_tensor_bytes": null, "serialized_payload_bytes": 677, "side_information_bytes": 0, "fetched_bytes": 1890, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 22242.904165992513, "provider_total_ms": 2028.3796669682488, "ttft_ms": 440.92591700609773}, "total_wall_ms": 24271.283832960762, "ttft_ms": 440.92591700609773, "input_usage": {"sender_input_tokens": 1987, "sender_output_tokens": 512, "sender_prefill_ms": 942.8290840005502, "sender_ttft_ms": 46.3451660471037, "sender_decode_ms": 21253.3369170269, "provider_input_tokens": 972}, "output_usage": {"provider_output_tokens": 233}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.002137, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "```python\ndef net_revenue(rows):\n total = 0\n for row in rows:\n # Rule 1: exclude returned rows\n if row['returned']:\n continue\n # Rule 2: exclude rows whose region is 'Est'\n if row['region'] == 'Est':\n continue\n # Rule 3: exclude rows with fewer than 3 units\n if row['units'] < 3:\n continue\n # Rule 4: line revenue = units * unit_price * (1 - discount_pct/100)\n line_revenue = row['units'] * row['unit_price'] * (1 - row['discount_pct'] / 100)\n total += line_revenue\n # Rule 5: apply a tax of 5.0% on the sum\n total = total * 1.05\n # Rule 6: return the result rounded to 0 decimals (Python round)\n return round(total)\n```", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00202_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", 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"mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A0", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 0, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1843, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 0, "cache_tensor_bytes": null, "serialized_payload_bytes": 0, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 1877.104292041622, "ttft_ms": null}, "total_wall_ms": 1877.104292041622, "ttft_ms": null, "input_usage": {"provider_input_tokens": 70}, "output_usage": {"provider_output_tokens": 174}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 7.310000000000002e-05, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n # Implement all agreed rules from the ticket\n # Placeholder implementation since rules are not provided in prompt\n # Return 0 if rows is empty or None\n if not rows:\n return 0\n\n total = 0\n for r in rows:\n # Expecting rows as dict with 'revenue' and 'cost' keys; adapt if keys differ\n revenue = r.get('revenue', 0) if isinstance(r, dict) else 0\n cost = r.get('cost', 0) if isinstance(r, dict) else 0\n total += (revenue - cost)\n\n # Apply any additional rules if specified; since not provided, return total\n return total", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00202_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", "output_hash": "13fa348cf072d6fea45ec12f39aa4002549eaf1143b2c0707d81d825e68fece2"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "0c737550ef6d296ba01eaf67", "attempt_id": "1c271fdd60df", "run_group_id": "ED_hosted_core:A1|openai|", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:46:27.490891Z", "task_family": "exec", "document_id": "exec_00202_2000", "document_hash": "ec13194237af7efe7765a21f1d8303ab8ac449271eb48e3395906648c770bab8", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00202_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1843, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7665, "cache_tensor_bytes": null, "serialized_payload_bytes": 7665, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 1680.1470000064, "ttft_ms": null}, "total_wall_ms": 1680.1470000064, "ttft_ms": null, "input_usage": {"provider_input_tokens": 1815}, "output_usage": {"provider_output_tokens": 135}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.00014475, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n if r.get('region') == 'Est':\n continue\n if r.get('returned'):\n continue\n if r.get('units', 0) < 3:\n continue\n line = r['units'] * r['unit_price'] * (1 - r['discount_pct'] / 100.0)\n total += line\n total *= 1.05 # apply 5% tax\n return round(total, 0)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00202_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "ec13194237af7efe7765a21f1d8303ab8ac449271eb48e3395906648c770bab8", "output_hash": "80662247f8ac255dd4dd6e3134db844f921e7bc503cc30d23e4a7bc54ad82400"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "fc59638dc3f8320809644212", "attempt_id": "5a15f643df48", "run_group_id": "ED_hosted_core:A1|openai|provider_cache=True", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:46:29.210227Z", "task_family": "exec", "document_id": "exec_00202_2000", "document_hash": "ec13194237af7efe7765a21f1d8303ab8ac449271eb48e3395906648c770bab8", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00202_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {"provider_cache": true}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1843, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7665, "cache_tensor_bytes": null, "serialized_payload_bytes": 7665, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 2187.4482500134036, "ttft_ms": null}, "total_wall_ms": 2187.4482500134036, "ttft_ms": null, "input_usage": {"provider_input_tokens": 1815}, "output_usage": {"provider_output_tokens": 207}, "provider_cached_usage": {"cached_tokens": 1664}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 9.867000000000002e-05, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n # Rule (2): exclude region 'Est'\n if r.get('region') == 'Est':\n continue\n # Rule (3): exclude fewer than 3 units\n if r.get('units', 0) < 3:\n continue\n # Rule (1): exclude returned rows\n if r.get('returned'):\n continue\n line = r.get('units', 0) * r.get('unit_price', 0.0) * (1 - r.get('discount_pct', 0) / 100.0)\n total += line\n # Rule (5): apply a tax of 5.0% on the sum\n total *= 1.05\n # Rule (6): round to 0 decimals\n return round(total, 0)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00202_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "ec13194237af7efe7765a21f1d8303ab8ac449271eb48e3395906648c770bab8", "output_hash": "663601506ba39fb9b6f6bc9dad3b01ba1eb8250cac452adacdc7aaefb4bb7097"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "b284b41787ce98e5f1f574c0", "attempt_id": "cc7331d0eff0", "run_group_id": "ED_hosted_core:A4|openai|budget_tokens=512", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:46:41.982675Z", "task_family": "exec", "document_id": "exec_00202_2000", "document_hash": "ec13194237af7efe7765a21f1d8303ab8ac449271eb48e3395906648c770bab8", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00202_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A4", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind"}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1843, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 1027, "cache_tensor_bytes": null, "serialized_payload_bytes": 1027, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 10544.52333401423, "provider_total_ms": 3945.0214999960735, "ttft_ms": null}, "total_wall_ms": 14489.544834010303, "ttft_ms": null, "input_usage": {"sender_input_tokens": 1959, "sender_output_tokens": 231, "sender_prefill_ms": 909.3091669492424, "sender_ttft_ms": 63.21991700679064, "sender_decode_ms": 9571.607084013522, "provider_input_tokens": 305}, "output_usage": {"provider_output_tokens": 314}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.00014085000000000004, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n \"\"\"\n Compute total net revenue from a list of row dictionaries according to:\n - Exclude rows where 'returned' is True\n - Exclude rows where 'region' is 'Est'\n - Exclude rows with fewer than 3 'units'\n - Apply a tax of 5.0% on the sum of 'amount' for the remaining rows\n - Round the final result to 0 decimals\n - All monetary values are assumed to be in the client's reporting currency\n \"\"\"\n total = 0.0\n for r in rows:\n # Ensure expected keys exist; skip if not\n if not isinstance(r, dict):\n continue\n\n returned = r.get('returned', False)\n region = r.get('region', None)\n units = r.get('units', 0)\n amount = r.get('amount', 0.0)\n\n if returned:\n continue\n if region == 'Est':\n continue\n try:\n units = float(units)\n except (TypeError, ValueError):\n continue\n if units < 3:\n continue\n\n try:\n amount = float(amount)\n except (TypeError, ValueError):\n continue\n\n total += amount\n\n tax_rate = 0.05\n net = total * (1.0 - tax_rate)\n return round(net, 0)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00202_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "fdde16a5a7bac0da2e40fb42025f1c7bc261b540e8f2b4d6384fbc077ba519e9", "output_hash": "9f1913af0e07821f168d236a011733debe37e5bf89adb387e059aaac91d37170"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "fac97f9957d842504ec54eb8", "attempt_id": "ccf8dc05ca0d", "run_group_id": "ED_hosted_core:A5|openai|budget_tokens=512", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:47:08.408419Z", "task_family": "exec", "document_id": "exec_00202_2000", "document_hash": "ec13194237af7efe7765a21f1d8303ab8ac449271eb48e3395906648c770bab8", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00202_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A5", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind"}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1843, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 1313, "cache_tensor_bytes": null, "serialized_payload_bytes": 1313, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 22439.245040994138, "provider_total_ms": 3305.8362079318613, "ttft_ms": null}, "total_wall_ms": 25745.081248926, "ttft_ms": null, "input_usage": {"sender_input_tokens": 1987, "sender_output_tokens": 512, "sender_prefill_ms": 956.2427080236375, "sender_ttft_ms": 25.824000011198223, "sender_decode_ms": 21456.859291996807, "provider_input_tokens": 451}, "output_usage": {"provider_output_tokens": 320}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.00015055, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n \"\"\"\n Compute the total net revenue for a list of rows according to the following rules:\n - Exclude returned rows\n - Exclude rows whose region is 'Est'\n - Exclude rows with fewer than 3 units\n - line revenue = units * unit_price * (1 - discount_pct/100)\n - Apply a tax of 5.0% on the sum\n - Return the result rounded to 0 decimals\n - If input is invalid, raise appropriate errors\n \"\"\"\n if rows is None:\n return 0\n\n total = 0.0\n for row in rows:\n # Safely access fields with defaults\n region = row.get(\"region\")\n status = row.get(\"status\")\n units = row.get(\"units\")\n unit_price = row.get(\"unit_price\")\n discount_pct = row.get(\"discount_pct\", 0.0)\n returned = row.get(\"returned\", False)\n\n # Exclude returned rows\n if returned:\n continue\n\n # Exclude region 'Est'\n if region == \"Est\":\n continue\n\n # Exclude rows with fewer than 3 units\n try:\n units_val = float(units)\n except (TypeError, ValueError):\n # If units is not a number, skip this row\n continue\n if units_val < 3:\n continue\n\n # Get unit_price\n ", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00202_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "edd7f4a8c903d01a06f7424dde9759bab76ee3eecb0a4971eed2b80834da36fd", "output_hash": "f7c679ed4343cefe103cda6b8079e6ed0ef4475dc06ac309b933ada703700c37"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "9a75c67f7b315c2b4dffcce9", "attempt_id": "22b9f02a10b4", "run_group_id": "ED_hosted_core:A6|openai|budget_tokens=512|max_fetch_bytes=2000|max_lookups=6", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:47:34.111556Z", "task_family": "exec", "document_id": "exec_00202_2000", "document_hash": "ec13194237af7efe7765a21f1d8303ab8ac449271eb48e3395906648c770bab8", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00202_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A6", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind", "max_fetch_bytes": 2000, "max_lookups": 6}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1843, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 677, "cache_tensor_bytes": null, "serialized_payload_bytes": 677, "side_information_bytes": 0, "fetched_bytes": 1890, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 22356.594125041738, "provider_total_ms": 4955.88762499392, "ttft_ms": null}, "total_wall_ms": 27312.48175003566, "ttft_ms": null, "input_usage": {"sender_input_tokens": 1987, "sender_output_tokens": 512, "sender_prefill_ms": 934.4473750097677, "sender_ttft_ms": 20.7899579545483, "sender_decode_ms": 21400.973290903494, "provider_input_tokens": 877}, "output_usage": {"provider_output_tokens": 320}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.00017185, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n \"\"\"\n Compute total net revenue for a list of rows with keys:\n ['region', 'product', 'units', 'unit_price', 'discount_pct', 'returned', 'shipped_days'].\n\n Rules (from BR-1160 and client agreement):\n 1) Exclude returned rows (returned == True)\n 2) Exclude rows whose region is 'Est'\n 3) Exclude rows with fewer than 3 units (units < 3)\n 4) line revenue = units * unit_price * (1 - discount_pct/100)\n 5) apply a tax of 5.0% on the sum\n 6) return the result rounded to 0 decimals (Python round)\n\n Data note:\n shipped_days is present but not used in calculation.\n \"\"\"\n total = 0.0\n for row in rows:\n # Safely extract fields with defaults where appropriate\n region = row.get('region')\n units = row.get('units', 0)\n unit_price = row.get('unit_price', 0.0)\n discount_pct = row.get('discount_pct', 0.0)\n returned = row.get('returned', False)\n\n # Apply filters\n if returned:\n continue\n if region == 'Est':\n continue\n if units < 3:\n continue\n\n # Compute line revenue\n line_revenue = units", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00202_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "4d70ef0462041ded2f1c698cb932276927c0887494b7efd341e9b8caf4ed46d8", "output_hash": "373087070e30cce62824df51380dd2c082ee23e44dfdfbbd10189b1db2696522"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "3980193e79963e7a386cfafa", "attempt_id": "f9ae56a8cbf4", "run_group_id": "ED_hosted_core:A0|anthropic|", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:47:39.114818Z", "task_family": "exec", "document_id": "exec_00203_2000", "document_hash": "39eee37c7ba5fe1b6d8fce9eef4c00e10a33d8ca049d12ae01b9521d4ac60863", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00203_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A0", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 0, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1841, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 0, "cache_tensor_bytes": null, "serialized_payload_bytes": 0, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 2126.190457958728, "ttft_ms": 1220.0221669627354}, "total_wall_ms": 2126.190457958728, "ttft_ms": 1220.0221669627354, "input_usage": {"provider_input_tokens": 72}, "output_usage": {"provider_output_tokens": 90}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.000522, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "I don't have access to any ticket or agreed rules you're referring to. To rewrite the `net_revenue(rows)` function according to the specifications, I would need you to provide:\n\n1. The ticket details or requirements\n2. The current implementation (if any)\n3. The specific rules that need to be implemented\n\nCould you please share the ticket information or the rules that the function should follow?", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00203_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": "exec:SyntaxError"}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", "output_hash": "dc0d50ca6a3f87ca1caba83a72ae1a50b7683a367cb16d09a4cae64b80e26b29"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "9b03d0a450097652fbae2fcb", "attempt_id": "eac3e5f57ad9", "run_group_id": "ED_hosted_core:A1|anthropic|", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:47:41.280855Z", "task_family": "exec", "document_id": "exec_00203_2000", "document_hash": "39eee37c7ba5fe1b6d8fce9eef4c00e10a33d8ca049d12ae01b9521d4ac60863", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00203_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1841, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7788, "cache_tensor_bytes": null, "serialized_payload_bytes": 7788, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 1345.2614590059966, "ttft_ms": 500.2939170226455}, "total_wall_ms": 1345.2614590059966, "ttft_ms": 500.2939170226455, "input_usage": {"provider_input_tokens": 2054}, "output_usage": {"provider_output_tokens": 118}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.002644, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n if r['returned']:\n continue\n if r['region'] == 'Ouest':\n continue\n if r['units'] < 5:\n continue\n total += r['units'] * r['unit_price'] * (1 - r['discount_pct'] / 100.0)\n total = total * 1.05\n return round(total, 1)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00203_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "39eee37c7ba5fe1b6d8fce9eef4c00e10a33d8ca049d12ae01b9521d4ac60863", "output_hash": "2ae577cad35ac2421d4dc66af051cb307dc98e1b70dfdc99dfe06661e2b622f0"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "4a56d9445f5fb7ec68512736", "attempt_id": "8b82818ccc73", "run_group_id": "ED_hosted_core:A1|anthropic|provider_cache=True", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:47:42.666400Z", "task_family": "exec", "document_id": "exec_00203_2000", "document_hash": "39eee37c7ba5fe1b6d8fce9eef4c00e10a33d8ca049d12ae01b9521d4ac60863", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00203_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {"provider_cache": true}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1841, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7788, "cache_tensor_bytes": null, "serialized_payload_bytes": 7788, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 1329.044249956496, "ttft_ms": 476.5298329293728}, "total_wall_ms": 1329.044249956496, "ttft_ms": 476.5298329293728, "input_usage": {"provider_input_tokens": 2054}, "output_usage": {"provider_output_tokens": 116}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.002634, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n if r['returned']:\n continue\n if r['region'] == 'Ouest':\n continue\n if r['units'] < 5:\n continue\n total += r['units'] * r['unit_price'] * (1 - r['discount_pct'] / 100.0)\n total *= 1.05\n return round(total, 1)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00203_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "39eee37c7ba5fe1b6d8fce9eef4c00e10a33d8ca049d12ae01b9521d4ac60863", "output_hash": "5ae5d53c0cca4462f85069f24eba3c32b92b168e9c1350b8e7162f863b0f7785"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "9ecac1c85eafbfba04e567bb", "attempt_id": "67c5f2fd74cd", "run_group_id": "ED_hosted_core:A4|anthropic|budget_tokens=512", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:47:53.167323Z", "task_family": "exec", "document_id": "exec_00203_2000", "document_hash": "39eee37c7ba5fe1b6d8fce9eef4c00e10a33d8ca049d12ae01b9521d4ac60863", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00203_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A4", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind"}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1841, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 855, "cache_tensor_bytes": null, "serialized_payload_bytes": 855, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 9130.555249983445, "provider_total_ms": 1983.3272499963641, "ttft_ms": 1154.1718750959262}, "total_wall_ms": 11113.882499979809, "ttft_ms": 1154.1718750959262, "input_usage": {"sender_input_tokens": 1957, "sender_output_tokens": 194, "sender_prefill_ms": 1024.1211249958724, "sender_ttft_ms": 34.7082499647513, "sender_decode_ms": 8071.416291990317, "provider_input_tokens": 292}, "output_usage": {"provider_output_tokens": 103}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.000807, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "def net_revenue(rows):\n total = 0\n for row in rows:\n if row.get('returned') or row.get('region') == 'Ouest' or row.get('units', 0) < 5:\n continue\n total += row.get('revenue', 0)\n total_with_tax = total * 1.05\n return round(total_with_tax, 1)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00203_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "818adb14498dd9f154a8c83d6297a1174ec12ec2a503555bafc20ddc0a1d0253", "output_hash": "e7a34c41811041bda3f35291d455f095fe1f29f555793f35f3de60b3f3daf843"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "63ff5f92c62584eb1cb80ee4", "attempt_id": "c9b43cbaef03", "run_group_id": "ED_hosted_core:A5|anthropic|budget_tokens=512", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:48:03.820481Z", "task_family": "exec", "document_id": "exec_00203_2000", "document_hash": "39eee37c7ba5fe1b6d8fce9eef4c00e10a33d8ca049d12ae01b9521d4ac60863", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00203_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A5", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind"}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1841, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 444, "cache_tensor_bytes": null, "serialized_payload_bytes": 444, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 8628.467374946922, "provider_total_ms": 2221.484792069532, "ttft_ms": 773.1754169799387}, "total_wall_ms": 10849.952167016454, "ttft_ms": 773.1754169799387, "input_usage": {"sender_input_tokens": 1985, "sender_output_tokens": 181, "sender_prefill_ms": 921.6031669639051, "sender_ttft_ms": 33.45629200339317, "sender_decode_ms": 7673.120749997906, "provider_input_tokens": 222}, "output_usage": {"provider_output_tokens": 198}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.001212, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "```python\ndef net_revenue(rows):\n total = 0.0\n for row in rows:\n if row.get('returned'):\n continue\n if row.get('region') == 'Ouest':\n continue\n if row.get('units', 0) < 5:\n continue\n units = row.get('units', 0)\n unit_price = row.get('unit_price', 0)\n discount_pct = row.get('discount_pct', 0)\n line_revenue = units * unit_price * (1 - discount_pct / 100)\n total += line_revenue\n \n total_with_tax = total * (1 + 5.0 / 100)\n return round(total_with_tax, 1)\n```", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00203_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "fe2e5ae0ff5b313b78bbf07cdd2e8eab33ac3b78b0afdf3b5b0bc9a382472b87", "output_hash": "3b6a03045607b242862f852d9b1fe310b53e67812bd5913d461f782f3ebbd59d"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "2b5172608848592b40677833", "attempt_id": "2828de597990", "run_group_id": "ED_hosted_core:A6|anthropic|budget_tokens=512|max_fetch_bytes=2000|max_lookups=6", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:48:14.627143Z", "task_family": "exec", "document_id": "exec_00203_2000", "document_hash": 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null, "message_utf8_bytes": 18, "cache_tensor_bytes": null, "serialized_payload_bytes": 18, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 8543.938708025962, "provider_total_ms": 479.7125000040978, "ttft_ms": 398.71887501794845}, "total_wall_ms": 9023.65120803006, "ttft_ms": 398.71887501794845, "input_usage": {"sender_input_tokens": 1985, "sender_output_tokens": 181, "sender_prefill_ms": 929.6381659805775, "sender_ttft_ms": 22.233458003029227, "sender_decode_ms": 7591.750417021103, "provider_input_tokens": 96}, "output_usage": {"provider_output_tokens": 4}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.000116, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": 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"serialized_payload_bytes": 0, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 1877.0246249623597, "ttft_ms": null}, "total_wall_ms": 1877.0246249623597, "ttft_ms": null, "input_usage": {"provider_input_tokens": 70}, "output_usage": {"provider_output_tokens": 117}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 5.03e-05, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n # Implement ALL the agreed rules in the ticket.\n # Placeholder implementation since rules are unspecified.\n # Return 0 for empty input or non-numeric values; otherwise sum of numeric values.\n if not rows:\n return 0\n total = 0\n for r in rows:\n try:\n val = float(r)\n except (TypeError, ValueError):\n return 0\n total += val\n return total", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00203_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", "output_hash": "0c8f284e41eb83ac0c66db95e23c02722fcfd73c7fd0997668af69dfd88d6b75"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "201266202716d78acee3dbd4", "attempt_id": "d16903efb547", "run_group_id": "ED_hosted_core:A1|openai|", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:48:17.064782Z", "task_family": "exec", "document_id": 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null, "serialized_payload_bytes": 7788, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 2123.80608310923, "ttft_ms": null}, "total_wall_ms": 2123.80608310923, "ttft_ms": null, "input_usage": {"provider_input_tokens": 1819}, "output_usage": {"provider_output_tokens": 243}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.00018815, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n # Rule 2: exclude rows whose region is 'Ouest'\n if r.get('region') == 'Ouest':\n continue\n # Rule 3: exclude rows with fewer than 5 units\n if r.get('units', 0) < 5:\n continue\n # Rule 1: exclude returned rows\n if r.get('returned'):\n continue\n # Rule 4: line revenue = units * unit_price * (1 - discount_pct/100)\n line_revenue = r.get('units', 0) * r.get('unit_price', 0.0) * (1 - r.get('discount_pct', 0) / 100.0)\n total += line_revenue\n # Rule 5: apply a tax of 5.0% on the sum\n total *= 1.05\n # Rule 6: return the result rounded to 1 decimals\n return round(total, 1)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00203_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "39eee37c7ba5fe1b6d8fce9eef4c00e10a33d8ca049d12ae01b9521d4ac60863", "output_hash": "0e18de8a5628cbc881322de640c9b64227a2b1bf829c6dea532d423d7d6ec98c"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "981304edb2a9a575921845c3", "attempt_id": "b462b3229334", "run_group_id": 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{"provider_cache": true}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1841, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7788, "cache_tensor_bytes": null, "serialized_payload_bytes": 7788, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 1507.4811249505728, "ttft_ms": null}, "total_wall_ms": 1507.4811249505728, "ttft_ms": null, "input_usage": {"provider_input_tokens": 1819}, "output_usage": {"provider_output_tokens": 147}, "provider_cached_usage": {"cached_tokens": 1664}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 7.487e-05, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n if r.get('returned'):\n continue\n if r.get('region') == 'Ouest':\n continue\n if r.get('units', 0) < 5:\n continue\n line_revenue = r['units'] * r['unit_price'] * (1 - r['discount_pct'] / 100.0)\n total += line_revenue\n total_with_tax = total * (1 + 5.0 / 100.0)\n return round(total_with_tax, 1)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00203_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "39eee37c7ba5fe1b6d8fce9eef4c00e10a33d8ca049d12ae01b9521d4ac60863", "output_hash": "c79d52c9dd9f9e9aac5e946e2cec734b7f4617537ec1d0880bc9cab8eb72b72e"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": 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"implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind"}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1841, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 855, "cache_tensor_bytes": null, "serialized_payload_bytes": 855, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 9858.621541992761, "provider_total_ms": 3830.0084579968825, "ttft_ms": null}, "total_wall_ms": 13688.629999989644, "ttft_ms": null, "input_usage": {"sender_input_tokens": 1957, "sender_output_tokens": 194, "sender_prefill_ms": 1109.0242919744924, "sender_ttft_ms": 91.89100004732609, "sender_decode_ms": 8657.447750098072, "provider_input_tokens": 269}, "output_usage": {"provider_output_tokens": 317}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.00014025, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n \"\"\"\n Compute total net revenue from a list of rows, applying the following rules:\n - Exclude rows that represent returns (returned rows). Assumes a boolean field 'returned' or a truthy 'returned' indicator.\n - Exclude rows from the 'Ouest' region.\n - Exclude rows with fewer than 5 units (assumes a numeric field 'units').\n - Sum the monetary value of the remaining rows (assumes a numeric field 'amount').\n - Apply a 5% tax on the sum.\n - Round the final result to 1 decimal place.\n - Monetary values are in client's currency (no FX conversion assumed).\n \"\"\"\n total = 0.0\n for row in rows:\n # Detect returned rows\n is_returned = False\n if isinstance(row, dict):\n is_returned = bool(row.get('returned', False))\n region = row.get('region')\n units = row.get('units', 0)\n amount = row.get('amount', 0.0)\n else:\n # If row is not a dict, skip it\n continue\n\n if is_returned:\n continue\n if region == 'Ouest':\n continue\n if units < 5:\n continue\n\n total += amount\n\n total_with_tax = total * 1.05\n return round(total_with_tax, 1)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00203_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "818adb14498dd9f154a8c83d6297a1174ec12ec2a503555bafc20ddc0a1d0253", "output_hash": "541d8a4298169c978b01a442e7be94a049e904e0f0de02a35fd832ab388bd1ed"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "d2b014c770bebf758050d971", "attempt_id": "92785c4ed38a", "run_group_id": "ED_hosted_core:A5|openai|budget_tokens=512", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:48:43.187789Z", "task_family": "exec", "document_id": "exec_00203_2000", "document_hash": "39eee37c7ba5fe1b6d8fce9eef4c00e10a33d8ca049d12ae01b9521d4ac60863", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00203_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A5", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind"}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1841, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 444, "cache_tensor_bytes": null, "serialized_payload_bytes": 444, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 8684.396958095022, "provider_total_ms": 2408.9086250169203, "ttft_ms": null}, "total_wall_ms": 11093.305583111942, "ttft_ms": null, "input_usage": {"sender_input_tokens": 1985, "sender_output_tokens": 181, "sender_prefill_ms": 1175.1357920002192, "sender_ttft_ms": 42.4552500480786, "sender_decode_ms": 7466.441292082891, "provider_input_tokens": 202}, "output_usage": {"provider_output_tokens": 270}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.0001181, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n # Filter out rows: exclude returned rows, exclude region 'Ouest', exclude rows with fewer than 5 units\n filtered = []\n for r in rows:\n if r.get(\"returned\", False):\n continue\n if r.get(\"region\") == \"Ouest\":\n continue\n units = r.get(\"units\", 0)\n if units < 5:\n continue\n filtered.append(r)\n\n # Compute line revenue: units * unit_price * (1 - discount_pct/100)\n total = 0.0\n for r in filtered:\n units = r.get(\"units\", 0)\n unit_price = r.get(\"unit_price\", 0.0)\n discount_pct = r.get(\"discount_pct\", 0.0)\n line_revenue = units * unit_price * (1 - discount_pct / 100.0)\n total += line_revenue\n\n # Apply a tax of 5.0% on the sum\n total_with_tax = total * (1 + 5.0 / 100.0)\n\n # Return the result rounded to 1 decimal\n return round(total_with_tax, 1)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00203_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "fe2e5ae0ff5b313b78bbf07cdd2e8eab33ac3b78b0afdf3b5b0bc9a382472b87", "output_hash": "1c266514c2a2362de61cb9f8d156c2217d3a5a7fc719043b7281bf2a9f8b9a65"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "fc27504c708db50d905185f6", "attempt_id": "eb70184c219c", "run_group_id": "ED_hosted_core:A6|openai|budget_tokens=512|max_fetch_bytes=2000|max_lookups=6", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:48:54.512632Z", "task_family": "exec", "document_id": "exec_00203_2000", "document_hash": "39eee37c7ba5fe1b6d8fce9eef4c00e10a33d8ca049d12ae01b9521d4ac60863", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00203_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A6", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind", "max_fetch_bytes": 2000, "max_lookups": 6}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1841, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 18, "cache_tensor_bytes": null, "serialized_payload_bytes": 18, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 8874.383875052445, "provider_total_ms": 2861.6227499442175, "ttft_ms": null}, "total_wall_ms": 11736.006624996662, "ttft_ms": null, "input_usage": {"sender_input_tokens": 1985, "sender_output_tokens": 181, "sender_prefill_ms": 1141.9477079762146, "sender_ttft_ms": 38.89804205391556, "sender_decode_ms": 7693.227000068873, "provider_input_tokens": 90}, "output_usage": {"provider_output_tokens": 147}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 6.330000000000001e-05, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n # If rows is not a list, return 0\n if not isinstance(rows, list):\n return 0\n\n total = 0\n for r in rows:\n # Each row should be a dict with 'revenue' key; skip invalid rows\n if not isinstance(r, dict):\n continue\n revenue = r.get('revenue')\n if revenue is None:\n continue\n\n # Ensure revenue is numeric\n try:\n value = float(revenue)\n except (TypeError, ValueError):\n continue\n\n total += value\n\n return total", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00203_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "07c8a1e6610691d8d21e9a824d0ee4d78bd228b96d1c100512ba67c9b3ccc414", "output_hash": "1660f5963d0b5473ed21388a7d35a108effeaf07a08ce58cc5aa6cccebf72d67"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "876312ea27fd479201a78fd9", "attempt_id": "1d550843c726", "run_group_id": "ED_hosted_core:A0|anthropic|", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:48:57.438271Z", "task_family": "exec", "document_id": "exec_00204_2000", "document_hash": "0aaf1a095160aa21c4485db3b1b171e86d9d41b904ac2a2ea102cc13df19cd22", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00204_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A0", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 0, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1854, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 0, "cache_tensor_bytes": null, "serialized_payload_bytes": 0, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 1094.2690410884097, "ttft_ms": 412.95366606209427}, "total_wall_ms": 1094.2690410884097, "ttft_ms": 412.95366606209427, "input_usage": {"provider_input_tokens": 72}, "output_usage": {"provider_output_tokens": 69}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.000417, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "I don't have access to any ticket or agreed rules. To help you rewrite the `net_revenue(rows)` function, I would need you to provide:\n\n1. The current implementation of the function\n2. The specific rules from the ticket that need to be implemented\n\nCould you please share these details?", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00204_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": "exec:SyntaxError"}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", "output_hash": "fb676ba2ecc43040237ac9ceee8ad47ace2ee5cbbd7013b8aa490e33523d90a9"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "497bf451f714968a5b5056c1", "attempt_id": "003cf55b731c", "run_group_id": "ED_hosted_core:A1|anthropic|", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:48:58.574183Z", "task_family": "exec", "document_id": "exec_00204_2000", "document_hash": "0aaf1a095160aa21c4485db3b1b171e86d9d41b904ac2a2ea102cc13df19cd22", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00204_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1854, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7921, "cache_tensor_bytes": null, "serialized_payload_bytes": 7921, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 1441.1144580226392, "ttft_ms": 505.6548329303041}, "total_wall_ms": 1441.1144580226392, "ttft_ms": 505.6548329303041, "input_usage": {"provider_input_tokens": 2079}, "output_usage": {"provider_output_tokens": 128}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.002719, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n if r['returned']:\n continue\n if r['region'] == 'Sud':\n continue\n if r['units'] < 2:\n continue\n total += r['units'] * r['unit_price'] * (1 - r['discount_pct'] / 100.0)\n total = total * (1 + 0.0 / 100.0)\n return round(total, 1)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00204_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "0aaf1a095160aa21c4485db3b1b171e86d9d41b904ac2a2ea102cc13df19cd22", "output_hash": "6676e824074041438c4aa1ffd7a5fe43e80c6c2837fadf32e847d7ac77d4648f"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "94014baaae266268a1ce3047", "attempt_id": "f155c6c8ebe3", "run_group_id": "ED_hosted_core:A1|anthropic|provider_cache=True", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:49:00.053850Z", "task_family": "exec", "document_id": "exec_00204_2000", "document_hash": "0aaf1a095160aa21c4485db3b1b171e86d9d41b904ac2a2ea102cc13df19cd22", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00204_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {"provider_cache": true}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1854, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7921, "cache_tensor_bytes": null, "serialized_payload_bytes": 7921, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 1460.7541249133646, "ttft_ms": 525.655624922365}, "total_wall_ms": 1460.7541249133646, "ttft_ms": 525.655624922365, "input_usage": {"provider_input_tokens": 2079}, "output_usage": {"provider_output_tokens": 128}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.002719, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n if r['returned']:\n continue\n if r['region'] == 'Sud':\n continue\n if r['units'] < 2:\n continue\n total += r['units'] * r['unit_price'] * (1 - r['discount_pct'] / 100.0)\n total = total * (1 + 0.0 / 100.0)\n return round(total, 1)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00204_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "0aaf1a095160aa21c4485db3b1b171e86d9d41b904ac2a2ea102cc13df19cd22", "output_hash": "6676e824074041438c4aa1ffd7a5fe43e80c6c2837fadf32e847d7ac77d4648f"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "5ea78a70ff063c4f0c09f54a", "attempt_id": "90e272a5485c", "run_group_id": "ED_hosted_core:A4|anthropic|budget_tokens=512", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": 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"side_information_bytes": 0, "fetched_bytes": 1578, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 22498.221084009856, "provider_total_ms": 1160.6266249436885, "ttft_ms": 414.9167500436306}, "total_wall_ms": 23658.847708953544, "ttft_ms": 414.9167500436306, "input_usage": {"sender_input_tokens": 1998, "sender_output_tokens": 512, "sender_prefill_ms": 936.7409580154344, "sender_ttft_ms": 36.22787503991276, "sender_decode_ms": 21524.956583045423, "provider_input_tokens": 1005}, "output_usage": {"provider_output_tokens": 80}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.001405, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "I cannot provide the corrected Python function because the provided material does not contain the complete set of rules that need to be implemented. While the references mention that \"the current implementation forgets rule (2) and applies no tax,\" the actual rules themselves are not included in the provided passages. I would need the full description of all agreed rules to rewrite the function correctly.\n\nunknown", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00204_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": "exec:SyntaxError"}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "ead3504d3d4c50648963c7c9b31b12aaceff8e0ba3c10d90118fa20d3756fe52", "output_hash": "08b69973dbbb50527d24b1aa443b6b50bdceee8e66badc01ae78b2d66a16d33e"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "9245083b26794fdadc80f794", "attempt_id": "5c19a62a2fe2", "run_group_id": "ED_hosted_core:A0|openai|", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:50:14.232645Z", "task_family": "exec", "document_id": "exec_00204_2000", "document_hash": "0aaf1a095160aa21c4485db3b1b171e86d9d41b904ac2a2ea102cc13df19cd22", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00204_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A0", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 0, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1854, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 0, "cache_tensor_bytes": null, "serialized_payload_bytes": 0, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 3201.8997910199687, "ttft_ms": null}, "total_wall_ms": 3201.8997910199687, "ttft_ms": null, "input_usage": {"provider_input_tokens": 70}, "output_usage": {"provider_output_tokens": 320}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.0001315, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n # Assumes rows is an iterable of dict-like records or objects with the necessary fields.\n # Implement all agreed rules from the ticket. Since the ticket details are not provided here,\n # this function provides a robust and extensible structure that can accommodate typical rules.\n # Default behavior: sum of adjusted revenue per row with basic validation.\n\n total = 0.0\n\n for r in rows:\n # Access fields defensively\n # Expect keys: 'revenue', 'tax', 'discount', 'adjustments', 'canceled'\n # If using objects, use getattr with defaults\n if isinstance(r, dict):\n revenue = r.get('revenue', 0.0)\n tax = r.get('tax', 0.0)\n discount = r.get('discount', 0.0)\n adjustments = r.get('adjustments', 0.0)\n canceled = r.get('canceled', False)\n else:\n revenue = getattr(r, 'revenue', 0.0)\n tax = getattr(r, 'tax', 0.0)\n discount = getattr(r, 'discount', 0.0)\n adjustments = getattr(r, 'adjustments', 0.0)\n canceled = getattr(r, 'canceled', False)\n\n # Validation and normalization\n try:\n revenue = float(revenue)\n except (TypeError, ValueError):\n revenue", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00204_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", "output_hash": "7a236d6b022366c2e95c79a7fc64ee876390ab78b6520f76e4ad3ee7244877c7"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "3d32cd1939b732bf1cf82ae9", "attempt_id": "fd1a8b617eab", "run_group_id": "ED_hosted_core:A1|openai|", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:50:17.471232Z", "task_family": "exec", "document_id": "exec_00204_2000", "document_hash": "0aaf1a095160aa21c4485db3b1b171e86d9d41b904ac2a2ea102cc13df19cd22", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00204_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1854, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7921, "cache_tensor_bytes": null, "serialized_payload_bytes": 7921, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 2493.874124949798, "ttft_ms": null}, "total_wall_ms": 2493.874124949798, "ttft_ms": null, "input_usage": {"provider_input_tokens": 1837}, "output_usage": {"provider_output_tokens": 228}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.00018305, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n # Rule 2: exclude rows whose region is 'Sud'\n if r.get('region') == 'Sud':\n continue\n # Rule 1: exclude returned rows\n if r.get('returned'):\n continue\n # Rule 3: exclude rows with fewer than 2 units\n if r.get('units', 0) < 2:\n continue\n line_revenue = r.get('units', 0) * r.get('unit_price', 0.0) * (1 - r.get('discount_pct', 0) / 100.0)\n total += line_revenue\n # Rule 5: apply a tax of 0.0 % on the sum (no effect)\n total_after_tax = total * (1 + 0.0)\n # Rule 6: round to 1 decimal\n return round(total_after_tax, 1)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00204_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "0aaf1a095160aa21c4485db3b1b171e86d9d41b904ac2a2ea102cc13df19cd22", "output_hash": "bd69a0f1911540fc56f2c9b65ab1165246bdcf52ac9fd2c9a4db83ab6d696a18"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "6a8a8880d86e3655266034c2", "attempt_id": "99dc52a0443e", "run_group_id": "ED_hosted_core:A1|openai|provider_cache=True", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:50:20.002872Z", "task_family": "exec", "document_id": "exec_00204_2000", "document_hash": "0aaf1a095160aa21c4485db3b1b171e86d9d41b904ac2a2ea102cc13df19cd22", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00204_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {"provider_cache": true}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1854, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7921, "cache_tensor_bytes": null, "serialized_payload_bytes": 7921, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 3285.0418749731034, "ttft_ms": null}, "total_wall_ms": 3285.0418749731034, "ttft_ms": null, "input_usage": {"provider_input_tokens": 1837}, "output_usage": {"provider_output_tokens": 229}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.00018345000000000001, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n # 1) exclude returned rows\n if r.get('returned'):\n continue\n # 2) exclude rows whose region is 'Sud'\n if r.get('region') == 'Sud':\n continue\n # 3) exclude rows with fewer than 2 units\n if r.get('units', 0) < 2:\n continue\n # line revenue = units * unit_price * (1 - discount_pct/100)\n line_rev = r.get('units', 0) * r.get('unit_price', 0.0) * (1 - float(r.get('discount_pct', 0)) / 100.0)\n total += line_rev\n # 5) apply a tax of 0.0 % on the sum (i.e., no tax)\n # 6) return the result rounded to 1 decimals\n return round(total, 1)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00204_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "0aaf1a095160aa21c4485db3b1b171e86d9d41b904ac2a2ea102cc13df19cd22", "output_hash": "333ad1cb60c46acd1530d98c3531388624cb0e0da7819c5c3e60c1ba557632f5"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "8c5f85dfacb5612339137f98", "attempt_id": "05747710cc0b", "run_group_id": "ED_hosted_core:A4|openai|budget_tokens=512", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:50:45.647429Z", "task_family": "exec", "document_id": "exec_00204_2000", "document_hash": "0aaf1a095160aa21c4485db3b1b171e86d9d41b904ac2a2ea102cc13df19cd22", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00204_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A4", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind"}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1854, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 1607, "cache_tensor_bytes": null, "serialized_payload_bytes": 1607, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 22318.38679208886, "provider_total_ms": 3523.9132079295814, "ttft_ms": null}, "total_wall_ms": 25842.30000001844, "ttft_ms": null, "input_usage": {"sender_input_tokens": 1970, "sender_output_tokens": 502, "sender_prefill_ms": 939.4600410014391, "sender_ttft_ms": 41.10658308491111, "sender_decode_ms": 21337.446582969278, "provider_input_tokens": 550}, "output_usage": {"provider_output_tokens": 259}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.00013110000000000002, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n \"\"\"\n Compute total net revenue for a list of row dictionaries.\n Rules:\n - Exclude rows where returned is True.\n - Exclude rows where region == 'Sud'.\n - Exclude rows with fewer than 2 units.\n - Revenue per row: units * unit_price * (1 - discount_pct/100)\n - No tax applied.\n - Round the per-row revenue to 1 decimal place where summed.\n - Return total revenue as float rounded to 1 decimal place.\n \"\"\"\n total = 0.0\n for r in rows:\n if r.get(\"returned\", False):\n continue\n if r.get(\"region\") == \"Sud\":\n continue\n units = r.get(\"units\", 0)\n if units < 2:\n continue\n unit_price = r.get(\"unit_price\", 0.0)\n discount_pct = r.get(\"discount_pct\", 0.0)\n row_revenue = units * unit_price * (1.0 - discount_pct / 100.0)\n total += row_revenue\n return round(total, 1)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00204_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "acb39601b75af13baad3edcbeffacd441308fc78530474f524cee85eb228cfe0", "output_hash": "0bb1d5583f0eccd7203779d61ed4e52270b84f24d40bc3a99beb29a3ca1d8a4a"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "b50f42d327b529a0986ab8e8", "attempt_id": "3be498911c29", "run_group_id": "ED_hosted_core:A5|openai|budget_tokens=512", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:51:11.864020Z", "task_family": "exec", "document_id": "exec_00204_2000", "document_hash": "0aaf1a095160aa21c4485db3b1b171e86d9d41b904ac2a2ea102cc13df19cd22", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00204_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A5", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind"}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1854, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 1356, "cache_tensor_bytes": null, "serialized_payload_bytes": 1356, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 22651.9059590064, "provider_total_ms": 3382.2820420609787, "ttft_ms": null}, "total_wall_ms": 26034.188001067378, "ttft_ms": null, "input_usage": {"sender_input_tokens": 1998, "sender_output_tokens": 512, "sender_prefill_ms": 986.2692499300465, "sender_ttft_ms": 45.873458962887526, "sender_decode_ms": 21619.47500007227, "provider_input_tokens": 505}, "output_usage": {"provider_output_tokens": 320}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.00015325, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n # Implementing all rules as per the ticket\n # Assumptions based on typical revenue calculation rules:\n # - Each row is a dict with keys: revenue, discount, taxes, returns, etc.\n # - The ticket mentions six or more rules; since exact rules are not provided here,\n # we implement a comprehensive and defensible approach:\n #\n # Rules implemented (generic interpretations):\n # 1. Apply base revenue from each row.\n # 2. Subtract returns from revenue.\n # 3. Subtract discounts from revenue.\n # 4. Apply taxes to the applicable base amount after returns/discounts.\n # 5. Ensure non-negative final revenue per row.\n # 6. Sum final revenue across all rows.\n\n total = 0.0\n for row in rows:\n # Extract values with safe defaults\n base = float(row.get(\"revenue\", 0.0))\n returns = float(row.get(\"returns\", 0.0))\n discount = float(row.get(\"discount\", 0.0))\n tax_rate = float(row.get(\"tax_rate\", 0.0))\n tax = float(row.get(\"tax\", None) if \"tax\" in row else base * tax_rate)\n\n # Apply returns and discounts\n net_before_tax = base - returns - discount\n\n # Apply taxes on the net amount after returns/discounts", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00204_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "1f403b0c2e6ff1d10f47d3db8a3d4e8b05d79bc94cfa1d4fd023ba5fe6c590da", "output_hash": "1bc5b8d9feca10bd3060648cbabddd976310389016926d3d09dd78f29e688817"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "a82bcd889fca703a06b6ae36", "attempt_id": "a015267d1597", "run_group_id": "ED_hosted_core:A6|openai|budget_tokens=512|max_fetch_bytes=2000|max_lookups=6", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:51:38.133961Z", "task_family": "exec", "document_id": "exec_00204_2000", "document_hash": "0aaf1a095160aa21c4485db3b1b171e86d9d41b904ac2a2ea102cc13df19cd22", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00204_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A6", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind", "max_fetch_bytes": 2000, "max_lookups": 6}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1854, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 986, "cache_tensor_bytes": null, "serialized_payload_bytes": 986, "side_information_bytes": 0, "fetched_bytes": 1578, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 22845.517875044607, "provider_total_ms": 4613.989042001776, "ttft_ms": null}, "total_wall_ms": 27459.506917046383, "ttft_ms": null, "input_usage": {"sender_input_tokens": 1998, "sender_output_tokens": 512, "sender_prefill_ms": 1168.2396249379963, "sender_ttft_ms": 43.822083971463144, "sender_decode_ms": 21633.176458068192, "provider_input_tokens": 942}, "output_usage": {"provider_output_tokens": 320}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.0001751, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n \"\"\"\n Compute net revenue per row according to rules:\n - Revenue per row = units * unit_price\n - Apply discount_pct: discounted_revenue = revenue * (1 - discount_pct/100)\n - If returned is True, revenue is 0\n - If region is Nord, tax is ignored? The prompt mentions \"applies no tax\" and \"forgot rule (2)\"\n but we cannot assume further. The safe approach based on provided snippet: apply no tax.\n - Round to 1 decimal place using Python round\n \"\"\"\n result = []\n for r in rows:\n region = r.get(\"region\")\n product = r.get(\"product\")\n units = r.get(\"units\", 0)\n unit_price = r.get(\"unit_price\", 0.0)\n discount_pct = r.get(\"discount_pct\", 0.0)\n returned = r.get(\"returned\", False)\n\n # base revenue\n revenue = units * unit_price\n\n # apply discount\n discounted = revenue * (1 - (discount_pct or 0) / 100.0)\n\n # if returned, zero revenue\n if returned:\n net = 0.0\n else:\n # tax rule not applied (as per provided notes: \"applies no tax\")\n net = discounted\n\n # round to 1 decimal\n net_rounded = round(net, 1)\n\n ", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00204_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "ead3504d3d4c50648963c7c9b31b12aaceff8e0ba3c10d90118fa20d3756fe52", "output_hash": "6b7ee55003e12c8470ff7a3aa7ab8be93ba36124eabd75dcb61ba51634a489b1"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "b0b4be37a6cee082d4af6278", "attempt_id": "9998acae8c1e", "run_group_id": "ED_hosted_core:A0|anthropic|", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:51:42.795732Z", "task_family": "exec", "document_id": "exec_00205_2000", "document_hash": "c82f149ddbd77be80773d103825621fb187f06bb60d4fd570c73c2b3cd898ecb", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00205_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A0", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 0, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1868, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 0, "cache_tensor_bytes": null, "serialized_payload_bytes": 0, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 1429.7850410221145, "ttft_ms": 594.5254999678582}, "total_wall_ms": 1429.7850410221145, "ttft_ms": 594.5254999678582, "input_usage": {"provider_input_tokens": 72}, "output_usage": {"provider_output_tokens": 86}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.000502, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "I don't have access to any ticket or agreed rules. To rewrite the `net_revenue(rows)` function correctly, I need you to provide the specifications.\n\nPlease share:\n1. The ticket details or requirements\n2. The current implementation (if any)\n3. The agreed rules that need to be implemented\n\nOnce you provide this information, I'll give you the Python code.", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00205_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": "exec:SyntaxError"}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", "output_hash": "f1733c200791dd6f83d2ab42aadb37d88a905b49e7135eaf65c5bbb6b0ed0942"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "a9a5e4cb93b6a0854cf6144f", "attempt_id": "94cba397855f", "run_group_id": "ED_hosted_core:A1|anthropic|", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:51:44.265507Z", "task_family": "exec", "document_id": "exec_00205_2000", "document_hash": "c82f149ddbd77be80773d103825621fb187f06bb60d4fd570c73c2b3cd898ecb", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00205_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1868, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7882, "cache_tensor_bytes": null, "serialized_payload_bytes": 7882, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 1518.6718329787254, "ttft_ms": 668.0295410333201}, "total_wall_ms": 1518.6718329787254, "ttft_ms": 668.0295410333201, "input_usage": {"provider_input_tokens": 2087}, "output_usage": {"provider_output_tokens": 116}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.002667, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n if r['returned']:\n continue\n if r['region'] == 'Ouest':\n continue\n if r['units'] < 2:\n continue\n total += r['units'] * r['unit_price'] * (1 - r['discount_pct'] / 100.0)\n total *= 1.05\n return round(total, 1)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00205_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "c82f149ddbd77be80773d103825621fb187f06bb60d4fd570c73c2b3cd898ecb", "output_hash": "b13b4b4045ba0d88de7f23f06b605620bd2c48343a5735c70dda2c94c879a0e0"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "4bf56f5877793c1441f40335", "attempt_id": "e65153b3d159", "run_group_id": "ED_hosted_core:A1|anthropic|provider_cache=True", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:51:45.824371Z", "task_family": "exec", "document_id": "exec_00205_2000", "document_hash": "c82f149ddbd77be80773d103825621fb187f06bb60d4fd570c73c2b3cd898ecb", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00205_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {"provider_cache": true}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1868, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7882, "cache_tensor_bytes": null, "serialized_payload_bytes": 7882, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 1835.9135419595987, "ttft_ms": 946.5374590363353}, "total_wall_ms": 1835.9135419595987, "ttft_ms": 946.5374590363353, "input_usage": {"provider_input_tokens": 2087}, "output_usage": {"provider_output_tokens": 123}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.002702, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "```python\ndef net_revenue(rows):\n total = 0.0\n for r in rows:\n if r['returned']:\n continue\n if r['region'] == 'Ouest':\n continue\n if r['units'] < 2:\n continue\n total += r['units'] * r['unit_price'] * (1 - r['discount_pct'] / 100.0)\n total = total * 1.05\n return round(total, 1)\n```", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00205_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "c82f149ddbd77be80773d103825621fb187f06bb60d4fd570c73c2b3cd898ecb", "output_hash": "c4894029c269822ec2405429bdbdf57042fae18fb775448407fa89dd2714d852"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "0b6a86690fdfd888981b8009", "attempt_id": "24235054eda5", "run_group_id": "ED_hosted_core:A4|anthropic|budget_tokens=512", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:52:03.923544Z", "task_family": "exec", "document_id": "exec_00205_2000", "document_hash": "c82f149ddbd77be80773d103825621fb187f06bb60d4fd570c73c2b3cd898ecb", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00205_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A4", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind"}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1868, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 1392, "cache_tensor_bytes": null, "serialized_payload_bytes": 1392, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 16220.353208016604, "provider_total_ms": 2218.223958974704, "ttft_ms": 842.9163339314982}, "total_wall_ms": 18438.57716699131, "ttft_ms": 842.9163339314982, "input_usage": {"sender_input_tokens": 1984, "sender_output_tokens": 355, "sender_prefill_ms": 1164.464250090532, "sender_ttft_ms": 38.95383304916322, "sender_decode_ms": 15016.483124927618, "provider_input_tokens": 485}, "output_usage": {"provider_output_tokens": 186}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.001415, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "def net_revenue(rows):\n total = 0\n for row in rows:\n if row.get('returned'):\n continue\n if row.get('region') == 'Ouest':\n continue\n if row.get('units', 0) < 2:\n continue\n \n units = row.get('units', 0)\n unit_price = row.get('unit_price', 0)\n discount_pct = row.get('discount_pct', 0)\n \n line_revenue = units * unit_price * (1 - discount_pct / 100)\n total += line_revenue\n \n total_with_tax = total * 1.05\n return round(total_with_tax, 1)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00205_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "b258de86bcb6ac8bd95a543b7124e89fa487463a4ca5e094145821480d5d2037", "output_hash": "e417f4019f00e1b260e61f15cf3347b6f56bce90a578c4b1d58e20aa09f85a24"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "246cfa5486d1cc3586033343", "attempt_id": "9e655bd5c819", "run_group_id": "ED_hosted_core:A5|anthropic|budget_tokens=512", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:52:27.000055Z", "task_family": "exec", "document_id": "exec_00205_2000", "document_hash": "c82f149ddbd77be80773d103825621fb187f06bb60d4fd570c73c2b3cd898ecb", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00205_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A5", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind"}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1868, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 948, "cache_tensor_bytes": null, "serialized_payload_bytes": 948, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 20817.010332946666, "provider_total_ms": 1293.6832919949666, "ttft_ms": 407.4535419931635}, "total_wall_ms": 22110.693624941632, "ttft_ms": 407.4535419931635, "input_usage": {"sender_input_tokens": 2012, "sender_output_tokens": 464, "sender_prefill_ms": 977.960875025019, "sender_ttft_ms": 51.31687503308058, "sender_decode_ms": 19787.43570810184, "provider_input_tokens": 399}, "output_usage": {"provider_output_tokens": 129}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.001044, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n if r['returned']:\n continue\n if r['region'] == 'Ouest':\n continue\n if r['units'] < 2:\n continue\n total += r['units'] * r['unit_price'] * (1 - r['discount_pct'] / 100.0)\n total = total * (1 + 5.0 / 100.0)\n return round(total, 1)", 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null, "message_utf8_bytes": 290, "cache_tensor_bytes": null, "serialized_payload_bytes": 290, "side_information_bytes": 0, "fetched_bytes": 1038, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 20690.237874980085, "provider_total_ms": 2142.096000025049, "ttft_ms": 397.3154580453411}, "total_wall_ms": 22832.333875005133, "ttft_ms": 397.3154580453411, "input_usage": {"sender_input_tokens": 2012, "sender_output_tokens": 464, "sender_prefill_ms": 1231.0405410826206, "sender_ttft_ms": 45.99658295046538, "sender_decode_ms": 19412.916417000815, "provider_input_tokens": 574}, "output_usage": {"provider_output_tokens": 246}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.001804, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "```python\ndef net_revenue(rows):\n total = 0\n for row in rows:\n # Rule (1): exclude returned rows\n if row['returned']:\n continue\n # Rule (2): exclude rows whose region is 'Ouest'\n if row['region'] == 'Ouest':\n continue\n # Rule (3): exclude rows with fewer than 2 units\n if row['units'] < 2:\n continue\n # Rule (4): line revenue = units * unit_price * (1 - discount_pct/100)\n line_revenue = row['units'] * row['unit_price'] * (1 - row['discount_pct'] / 100)\n total += line_revenue\n # Rule (5): apply a tax of 5.0% on the sum\n total_with_tax = total * 1.05\n # Rule (6): return the result rounded to 1 decimals (Python round)\n return round(total_with_tax, 1)\n```", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00205_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "bca2960014d3b9f8d75e46b5073f0b635c5ac3c0440d43cf1883b683cad8f306", "output_hash": "594c0975bfe8336b7d5dec8c57c6b6efeac701927df3534fd90bc24985829e1b"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "3e8b351717a3f80767c79ee3", "attempt_id": "c031cf17c488", "run_group_id": "ED_hosted_core:A0|openai|", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:52:51.206662Z", "task_family": "exec", "document_id": "exec_00205_2000", "document_hash": "c82f149ddbd77be80773d103825621fb187f06bb60d4fd570c73c2b3cd898ecb", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00205_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A0", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 0, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1868, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 0, "cache_tensor_bytes": null, "serialized_payload_bytes": 0, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 1085.1040829438716, "ttft_ms": null}, "total_wall_ms": 1085.1040829438716, "ttft_ms": null, "input_usage": {"provider_input_tokens": 70}, "output_usage": {"provider_output_tokens": 61}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 2.79e-05, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n # Implement all agreed rules from the ticket\n # Placeholder implementation since rules are not provided\n # Return 0 to avoid errors if rules are absent\n return 0", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00205_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", "output_hash": "6715ef11770e15b401b5b8f23aaf727d868d8cc6a2415cae0827f70e004d0729"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "a268049c1d57cdcdeb4676f5", "attempt_id": "19c02bac5b99", "run_group_id": "ED_hosted_core:A1|openai|", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:52:52.329036Z", "task_family": "exec", "document_id": "exec_00205_2000", "document_hash": "c82f149ddbd77be80773d103825621fb187f06bb60d4fd570c73c2b3cd898ecb", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00205_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1868, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7882, "cache_tensor_bytes": null, "serialized_payload_bytes": 7882, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 2133.3759580738842, "ttft_ms": null}, "total_wall_ms": 2133.3759580738842, "ttft_ms": null, "input_usage": {"provider_input_tokens": 1833}, "output_usage": {"provider_output_tokens": 216}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.00017805000000000002, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n # Rule 2: exclude region 'Ouest'\n if r.get('region') == 'Ouest':\n continue\n # Rule 3: exclude returned rows\n if r.get('returned'):\n continue\n # Rule 3: exclude rows with fewer than 2 units\n if r.get('units', 0) < 2:\n continue\n line_rev = r.get('units', 0) * r.get('unit_price', 0.0) * (1 - r.get('discount_pct', 0) / 100.0)\n total += line_rev\n # Rule 5: apply a tax of 5.0 % on the sum\n total *= 1.05\n # Rule 6: return the result rounded to 1 decimals\n return round(total, 1)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00205_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "c82f149ddbd77be80773d103825621fb187f06bb60d4fd570c73c2b3cd898ecb", "output_hash": "26cec102590098dc6edc6f232de854de3d296c43e1ca2a6cdad9f86c7a4ae45c"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "5f225a0f8f6d4c1971db1112", "attempt_id": "3f45775e9a74", "run_group_id": "ED_hosted_core:A1|openai|provider_cache=True", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:52:54.500522Z", "task_family": "exec", "document_id": "exec_00205_2000", "document_hash": "c82f149ddbd77be80773d103825621fb187f06bb60d4fd570c73c2b3cd898ecb", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00205_2000", "sender_model_revision": 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"exec_00205_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A4", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind"}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1868, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 1392, "cache_tensor_bytes": null, "serialized_payload_bytes": 1392, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 16106.323166983202, "provider_total_ms": 2657.8224160475656, "ttft_ms": null}, "total_wall_ms": 18764.145583030768, "ttft_ms": null, "input_usage": {"sender_input_tokens": 1984, "sender_output_tokens": 355, "sender_prefill_ms": 1121.8694580020383, "sender_ttft_ms": 25.37399996072054, "sender_decode_ms": 14958.786917035468, "provider_input_tokens": 445}, "output_usage": {"provider_output_tokens": 320}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.00015025, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n \"\"\"\n Compute total net revenue for given rows applying:\n - Exclude returned rows\n - Exclude rows from region 'Ouest'\n - Exclude rows with fewer than 2 units\n - Line revenue = units * unit_price * (1 - discount_pct/100)\n - Apply 5% tax on the sum\n - Round to 1 decimal place\n \"\"\"\n total = 0.0\n for row in rows:\n # Guard against missing keys\n if not isinstance(row, dict):\n continue\n\n if row.get(\"returned\", False):\n continue\n\n region = row.get(\"region\")\n if region == \"Ouest\":\n continue\n\n units = row.get(\"units\")\n try:\n units = float(units)\n except (TypeError, ValueError):\n continue\n if units < 2:\n continue\n\n unit_price = row.get(\"unit_price\")\n try:\n unit_price = float(unit_price)\n except (TypeError, ValueError):\n continue\n\n discount_pct = row.get(\"discount_pct\")\n try:\n discount_pct = float(discount_pct)\n except (TypeError, ValueError):\n discount_pct = 0.0\n\n line_revenue = units * unit_price * (1.0 - discount_pct / 100.0)\n total += line_revenue\n\n tax_rate = 0.05\n", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00205_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "b258de86bcb6ac8bd95a543b7124e89fa487463a4ca5e094145821480d5d2037", "output_hash": "5a3caee64ea310722ceb20ca48c73c2f80894c2eb5a9461e585c024809b1af53"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "1fbe557de7f86d321c09b2d6", "attempt_id": "3ff7bf1ba4c1", "run_group_id": "ED_hosted_core:A5|openai|budget_tokens=512", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:53:35.701960Z", "task_family": "exec", "document_id": "exec_00205_2000", "document_hash": "c82f149ddbd77be80773d103825621fb187f06bb60d4fd570c73c2b3cd898ecb", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00205_2000", "sender_model_revision": 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20624.313125037588, "provider_total_ms": 2772.961290902458, "ttft_ms": null}, "total_wall_ms": 23397.274415940046, "ttft_ms": null, "input_usage": {"sender_input_tokens": 2012, "sender_output_tokens": 464, "sender_prefill_ms": 1170.9028329933062, "sender_ttft_ms": 39.78516603820026, "sender_decode_ms": 19413.31245796755, "provider_input_tokens": 366}, "output_usage": {"provider_output_tokens": 200}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 9.829999999999999e-05, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n # exclude returned rows\n if r.get('returned'):\n continue\n # exclude rows whose region is 'Ouest'\n if r.get('region') == 'Ouest':\n continue\n # exclude rows with fewer than 2 units\n if r.get('units', 0) < 2:\n continue\n line_revenue = r.get('units', 0) * r.get('unit_price', 0.0) * (1 - r.get('discount_pct', 0.0) / 100.0)\n total += line_revenue\n # apply a tax of 5.0% on the sum\n total *= (1 + 5.0 / 100.0)\n return round(total, 1)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00205_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "ee44c9f9da42591a5ce6a206c66ea87b5b3fb148644bed2bdb480961cebd3a08", "output_hash": "3b8851bf636d2d556a864d6fca6fe4e3fbbff3e897c71e8e73096a14400c6d05"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "2f0685fa0ca43475cddcbada", "attempt_id": "91f5a67e5860", "run_group_id": "ED_hosted_core:A6|openai|budget_tokens=512|max_fetch_bytes=2000|max_lookups=6", "protocol_hash": 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"max_lookups": 6}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1868, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 290, "cache_tensor_bytes": null, "serialized_payload_bytes": 290, "side_information_bytes": 0, "fetched_bytes": 1038, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 20649.657874950208, "provider_total_ms": 3439.6523339673877, "ttft_ms": null}, "total_wall_ms": 24089.310208917595, "ttft_ms": null, "input_usage": {"sender_input_tokens": 2012, "sender_output_tokens": 464, "sender_prefill_ms": 942.5049159908667, "sender_ttft_ms": 37.108125048689544, "sender_decode_ms": 19669.683834072202, "provider_input_tokens": 516}, "output_usage": {"provider_output_tokens": 298}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.000145, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n \"\"\"\n Compute the total net revenue with the following rules:\n 1) exclude returned rows\n 2) exclude rows whose region is 'Ouest'\n 3) exclude rows with fewer than 2 units\n 4) line revenue = units * unit_price * (1 - discount_pct/100)\n 5) apply a tax of 5.0% on the sum\n 6) round the result to 1 decimal place\n \"\"\"\n total = 0.0\n for row in rows:\n # Guard against missing keys by skipping invalid rows\n try:\n region = row.get('region')\n units = row.get('units')\n unit_price = row.get('unit_price')\n discount_pct = row.get('discount_pct')\n returned = row.get('returned')\n except AttributeError:\n continue\n\n if returned:\n continue\n if region == 'Ouest':\n continue\n if units is None or unit_price is None or discount_pct is None:\n continue\n if units < 2:\n continue\n\n line_rev = units * unit_price * (1 - discount_pct / 100.0)\n total += line_rev\n\n total_with_tax = total * 1.05\n return round(total_with_tax, 1)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00205_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "bca2960014d3b9f8d75e46b5073f0b635c5ac3c0440d43cf1883b683cad8f306", "output_hash": "103a343baa42ccf50ad6277b90050f928c9cb5524399770c83fef88abe03219f"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "d00f706abd7a0d831ee932ac", "attempt_id": "262b0ce72ea1", "run_group_id": "ED_hosted_core:A0|anthropic|", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:54:02.653730Z", "task_family": "exec", "document_id": "exec_00206_2000", "document_hash": "e391c9d757bc03677c664222c3ff3f1bbab881d7f566c0072b184e0b90503339", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00206_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A0", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 0, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1841, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 0, "cache_tensor_bytes": null, "serialized_payload_bytes": 0, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 1678.4270839998499, "ttft_ms": 738.9425839064643}, "total_wall_ms": 1678.4270839998499, "ttft_ms": 738.9425839064643, "input_usage": {"provider_input_tokens": 72}, "output_usage": {"provider_output_tokens": 95}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.000547, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "I don't have access to the ticket you're referring to. To rewrite the `net_revenue(rows)` function correctly, I would need to see the agreed rules from that ticket.\n\nCould you please provide:\n1. The specific rules/requirements from the ticket\n2. The current implementation (if one exists)\n3. Example input and expected output\n\nOnce you share these details, I can provide the corrected Python code.", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00206_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": "exec:SyntaxError"}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", "output_hash": "c253c9c71e5d513d58309fd61eca83374199f0b654f8cc94af9109d3a92300a2"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "4f0303f404a6a372610d7466", "attempt_id": "68ee5d08724a", "run_group_id": "ED_hosted_core:A1|anthropic|", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:54:04.371673Z", "task_family": "exec", "document_id": "exec_00206_2000", "document_hash": "e391c9d757bc03677c664222c3ff3f1bbab881d7f566c0072b184e0b90503339", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00206_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1841, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7727, "cache_tensor_bytes": null, "serialized_payload_bytes": 7727, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 2057.8030409524217, "ttft_ms": 1073.1037909863517}, "total_wall_ms": 2057.8030409524217, "ttft_ms": 1073.1037909863517, "input_usage": {"provider_input_tokens": 2043}, "output_usage": {"provider_output_tokens": 129}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.002688, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n if r['returned']:\n continue\n if r['region'] == 'Ouest':\n continue\n if r['units'] < 4:\n continue\n total += r['units'] * r['unit_price'] * (1 - r['discount_pct'] / 100.0)\n total = total * (1 + 9.975 / 100.0)\n return round(total, 1)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00206_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "e391c9d757bc03677c664222c3ff3f1bbab881d7f566c0072b184e0b90503339", "output_hash": "40903dbac7a65d596e35a72294d953c6dd9d85281019f442b0176301bd873bc2"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "84488a3f701edb1f0c451ead", "attempt_id": "f38c831cecf2", "run_group_id": "ED_hosted_core:A1|anthropic|provider_cache=True", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:54:06.466501Z", "task_family": "exec", "document_id": "exec_00206_2000", "document_hash": "e391c9d757bc03677c664222c3ff3f1bbab881d7f566c0072b184e0b90503339", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00206_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {"provider_cache": true}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1841, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7727, "cache_tensor_bytes": null, "serialized_payload_bytes": 7727, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 1479.1280420031399, "ttft_ms": 508.27733404003084}, "total_wall_ms": 1479.1280420031399, "ttft_ms": 508.27733404003084, "input_usage": {"provider_input_tokens": 2043}, "output_usage": {"provider_output_tokens": 127}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.002678, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n if r['returned']:\n continue\n if r['region'] == 'Ouest':\n continue\n if r['units'] < 4:\n continue\n total += r['units'] * r['unit_price'] * (1 - r['discount_pct'] / 100.0)\n total *= (1 + 9.975 / 100.0)\n return round(total, 1)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00206_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "e391c9d757bc03677c664222c3ff3f1bbab881d7f566c0072b184e0b90503339", "output_hash": "bcfdee6bd35e1658e0dfaa7dc854bfeb683a1fe1cf152d21dc03cda590e1dbc6"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "31a9144249aab1d20883f43a", "attempt_id": "bc0cbf351bbf", "run_group_id": "ED_hosted_core:A4|anthropic|budget_tokens=512", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:54:30.976547Z", "task_family": "exec", "document_id": "exec_00206_2000", "document_hash": "e391c9d757bc03677c664222c3ff3f1bbab881d7f566c0072b184e0b90503339", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00206_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A4", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind"}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1841, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 1495, "cache_tensor_bytes": null, "serialized_payload_bytes": 1495, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 22989.935541991144, "provider_total_ms": 1388.8476659776643, "ttft_ms": 418.65800006780773}, "total_wall_ms": 24378.78320796881, "ttft_ms": 418.65800006780773, "input_usage": {"sender_input_tokens": 1957, "sender_output_tokens": 512, "sender_prefill_ms": 1238.4929589461535, "sender_ttft_ms": 32.72283298429102, "sender_decode_ms": 21718.317958060652, "provider_input_tokens": 625}, "output_usage": {"provider_output_tokens": 140}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.001325, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "def net_revenue(rows):\n total = 0\n for row in rows:\n if row['returned']:\n continue\n if row['region'] == 'Ouest':\n continue\n if row['units'] < 4:\n continue\n line_revenue = row['units'] * row['unit_price'] * (1 - row['discount_pct'] / 100)\n total += line_revenue\n total_with_tax = total * (1 + 9.975 / 100)\n return round(total_with_tax, 1)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00206_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "9aefdfa1520aaad5063c88d2fbc1915d584630def48d3552a1585b221377656c", "output_hash": "34398170668b44ac4f54359563e123f5f3ee5a670cf517060f7669677d546a50"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "07abd772c8678688d063c07a", "attempt_id": "f15ff0e7f622", "run_group_id": "ED_hosted_core:A5|anthropic|budget_tokens=512", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:54:51.459475Z", "task_family": "exec", "document_id": "exec_00206_2000", "document_hash": "e391c9d757bc03677c664222c3ff3f1bbab881d7f566c0072b184e0b90503339", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00206_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A5", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind"}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1841, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 1175, "cache_tensor_bytes": null, "serialized_payload_bytes": 1175, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 19051.15833308082, "provider_total_ms": 2422.0913749886677, "ttft_ms": 405.189250013791}, "total_wall_ms": 21473.24970806949, "ttft_ms": 405.189250013791, "input_usage": {"sender_input_tokens": 1985, "sender_output_tokens": 421, "sender_prefill_ms": 1205.6470840470865, "sender_ttft_ms": 31.53837495483458, "sender_decode_ms": 17813.621666049585, "provider_input_tokens": 445}, "output_usage": {"provider_output_tokens": 282}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.001855, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "```python\ndef net_revenue(rows):\n total = 0\n for row in rows:\n # Exclude returned rows\n if row.get('returned', False):\n continue\n # Exclude rows whose region is 'Ouest'\n if row.get('region') == 'Ouest':\n continue\n # Exclude rows with fewer than 4 units\n if row.get('units', 0) < 4:\n continue\n \n # Calculate line revenue: units * unit_price * (1 - discount_pct/100)\n units = row.get('units', 0)\n unit_price = row.get('unit_price', 0)\n discount_pct = row.get('discount_pct', 0)\n line_revenue = units * unit_price * (1 - discount_pct / 100)\n total += line_revenue\n \n # Apply tax of 9.975%\n total_with_tax = total * (1 + 9.975 / 100)\n \n # Return result rounded to 1 decimal\n return round(total_with_tax, 1)\n```", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00206_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "8420cb2b892e1c3359edefa48919c7580d1d41686a7e3698d7e72d548bcc1c47", "output_hash": "ea4b133b7e188ff6f012eb36b81b571a9c538887f5a8fc65c65f281dfa6537f5"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "ee18ba7e80bfa535971bea53", "attempt_id": "787a62fa5be3", "run_group_id": "ED_hosted_core:A6|anthropic|budget_tokens=512|max_fetch_bytes=2000|max_lookups=6", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:55:12.968523Z", "task_family": "exec", "document_id": "exec_00206_2000", "document_hash": "e391c9d757bc03677c664222c3ff3f1bbab881d7f566c0072b184e0b90503339", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00206_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A6", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind", "max_fetch_bytes": 2000, "max_lookups": 6}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1841, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 614, "cache_tensor_bytes": null, "serialized_payload_bytes": 614, "side_information_bytes": 0, "fetched_bytes": 1460, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 19045.17516703345, "provider_total_ms": 2587.6461670268327, "ttft_ms": 401.5242080204189}, "total_wall_ms": 21632.82133406028, "ttft_ms": 401.5242080204189, "input_usage": {"sender_input_tokens": 1985, "sender_output_tokens": 421, "sender_prefill_ms": 996.4028330286965, "sender_ttft_ms": 37.28370799217373, "sender_decode_ms": 18011.11512503121, "provider_input_tokens": 849}, "output_usage": {"provider_output_tokens": 297}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.002334, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "```python\ndef net_revenue(rows):\n total = 0\n for row in rows:\n # Rule (1): exclude rows where returned is true\n if row.get('returned'):\n continue\n # Rule (2): exclude rows where shipped is false\n if not row.get('shipped'):\n continue\n # Rule (3): exclude rows with fewer than 4 units\n if row.get('units', 0) < 4:\n continue\n # Rule (4): line revenue = units * unit_price * (1 - discount_pct/100)\n units = row.get('units', 0)\n unit_price = row.get('unit_price', 0)\n discount_pct = row.get('discount_pct', 0)\n line_revenue = units * unit_price * (1 - discount_pct / 100)\n total += line_revenue\n # Rule (5): apply a tax of 9.975% on the sum\n total_with_tax = total * (1 + 9.975 / 100)\n # Rule (6): return the result rounded to 1 decimal (Python round)\n return round(total_with_tax, 1)\n```", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00206_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "510dd3de5c787d61deefc6c6f36a8c3e08c572c77ad5e2ec625947915038694d", "output_hash": "a3984fd6e834461a89278ea95307bda58aa5e82b37ea18a03bc28d2e7deb386b"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "91e99267ee6bbc8d3a9fe7f9", "attempt_id": "f80c7785b67f", "run_group_id": "ED_hosted_core:A0|openai|", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:55:15.594986Z", "task_family": "exec", "document_id": "exec_00206_2000", "document_hash": "e391c9d757bc03677c664222c3ff3f1bbab881d7f566c0072b184e0b90503339", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00206_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A0", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 0, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1841, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 0, "cache_tensor_bytes": null, "serialized_payload_bytes": 0, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 2469.044041936286, "ttft_ms": null}, "total_wall_ms": 2469.044041936286, "ttft_ms": null, "input_usage": {"provider_input_tokens": 70}, "output_usage": {"provider_output_tokens": 238}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 9.87e-05, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n # assume each row is a dict-like with keys 'revenue', 'cost', 'tax_rate', 'discount'\n rev = r.get('revenue', 0) if isinstance(r, dict) else getattr(r, 'revenue', 0)\n cost = r.get('cost', 0) if isinstance(r, dict) else getattr(r, 'cost', 0)\n tax_rate = r.get('tax_rate', 0) if isinstance(r, dict) else getattr(r, 'tax_rate', 0)\n discount = r.get('discount', 0) if isinstance(r, dict) else getattr(r, 'discount', 0)\n\n # apply discount to revenue\n rev_after_discount = rev * (1 - discount)\n\n # tax after discount\n tax = rev_after_discount * tax_rate\n\n # net revenue for this row\n net = rev_after_discount - tax - cost\n\n total += net\n return total", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00206_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", "output_hash": "2ee6804d729e450ef69dc1223a352d424f96f76fd6ed8a13662a2fcfd55e5393"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "c9b81bdfc29b3e01ac9a836e", "attempt_id": "9b3e3833f5d9", "run_group_id": "ED_hosted_core:A1|openai|", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:55:18.102316Z", "task_family": "exec", "document_id": "exec_00206_2000", "document_hash": "e391c9d757bc03677c664222c3ff3f1bbab881d7f566c0072b184e0b90503339", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00206_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1841, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7727, "cache_tensor_bytes": null, "serialized_payload_bytes": 7727, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 2621.113791014068, "ttft_ms": null}, "total_wall_ms": 2621.113791014068, "ttft_ms": null, "input_usage": {"provider_input_tokens": 1808}, "output_usage": {"provider_output_tokens": 141}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.00014680000000000002, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n if r['returned']:\n continue\n if r['region'] == 'Ouest':\n continue\n if r['units'] < 4:\n continue\n line_revenue = r['units'] * r['unit_price'] * (1 - r['discount_pct'] / 100.0)\n total += line_revenue\n total_with_tax = total * (1 + 9.975 / 100.0)\n return round(total_with_tax, 1)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00206_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "e391c9d757bc03677c664222c3ff3f1bbab881d7f566c0072b184e0b90503339", "output_hash": "c8bfbf08f78e93483c63d57cf781767602fd91f7221b93ac7871cccb6f40da13"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "430d42dc9ca29fbc7679a0b6", "attempt_id": "7b480ce029fc", "run_group_id": "ED_hosted_core:A1|openai|provider_cache=True", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:55:20.762169Z", "task_family": "exec", "document_id": "exec_00206_2000", "document_hash": "e391c9d757bc03677c664222c3ff3f1bbab881d7f566c0072b184e0b90503339", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00206_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {"provider_cache": true}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1841, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7727, "cache_tensor_bytes": null, "serialized_payload_bytes": 7727, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 2700.094625004567, "ttft_ms": null}, "total_wall_ms": 2700.094625004567, "ttft_ms": null, "input_usage": {"provider_input_tokens": 1808}, "output_usage": {"provider_output_tokens": 218}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.00017760000000000003, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n # Exclude returned rows\n if r.get('returned'):\n continue\n # Exclude region 'Ouest'\n if r.get('region') == 'Ouest':\n continue\n # Exclude rows with fewer than 4 units\n if r.get('units', 0) < 4:\n continue\n # Line revenue\n line_rev = r.get('units', 0) * r.get('unit_price', 0.0) * (1 - r.get('discount_pct', 0.0) / 100.0)\n total += line_rev\n # Apply tax of 9.975% on the sum\n total_with_tax = total * (1 + 9.975 / 100.0)\n # Return rounded to 1 decimal place\n return round(total_with_tax, 1)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00206_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "e391c9d757bc03677c664222c3ff3f1bbab881d7f566c0072b184e0b90503339", "output_hash": "f29c31206ea861560c15230c7cb37f23f76e4d583c466fd7cfa06493ce711409"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "376d7bf57f7e086dd58f1f75", "attempt_id": "0c2476b0b1a2", "run_group_id": "ED_hosted_core:A4|openai|budget_tokens=512", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:55:46.101950Z", "task_family": "exec", "document_id": "exec_00206_2000", "document_hash": "e391c9d757bc03677c664222c3ff3f1bbab881d7f566c0072b184e0b90503339", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00206_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A4", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind"}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1841, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 1495, "cache_tensor_bytes": null, "serialized_payload_bytes": 1495, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 22600.96800001338, "provider_total_ms": 2474.851957987994, "ttft_ms": null}, "total_wall_ms": 25075.819958001375, "ttft_ms": null, "input_usage": {"sender_input_tokens": 1957, "sender_output_tokens": 512, "sender_prefill_ms": 1025.8677499368787, "sender_ttft_ms": 113.75141690950841, "sender_decode_ms": 21461.01687499322, "provider_input_tokens": 567}, "output_usage": {"provider_output_tokens": 225}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.00011834999999999999, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for row in rows:\n region = row.get('region')\n units = row.get('units', 0)\n unit_price = row.get('unit_price', 0.0)\n discount_pct = row.get('discount_pct', 0.0)\n returned = row.get('returned', False)\n\n # Apply rules: exclude returned\n if returned:\n continue\n # Exclude region 'Ouest'\n if region == 'Ouest':\n continue\n # Exclude fewer than 4 units\n if units < 4:\n continue\n\n line_rev = units * unit_price * (1 - discount_pct / 100.0)\n total += line_rev\n\n # Apply tax of 9.975% on the sum\n total *= (1 + 9.975 / 100.0)\n # Round to 1 decimal place\n return round(total, 1)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00206_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "9aefdfa1520aaad5063c88d2fbc1915d584630def48d3552a1585b221377656c", "output_hash": "c5d2b2fba638bddb49d77c1d1b2d80d057b8d2e5fde6af813545c7ce7bc46fab"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "89cb3551efa5ff9d255788ed", "attempt_id": "35a532573594", "run_group_id": "ED_hosted_core:A5|openai|budget_tokens=512", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:56:07.381369Z", "task_family": "exec", "document_id": "exec_00206_2000", "document_hash": "e391c9d757bc03677c664222c3ff3f1bbab881d7f566c0072b184e0b90503339", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00206_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A5", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind"}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1841, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 1175, "cache_tensor_bytes": null, "serialized_payload_bytes": 1175, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 18763.63741699606, "provider_total_ms": 2198.3821659814566, "ttft_ms": null}, "total_wall_ms": 20962.01958297752, "ttft_ms": null, "input_usage": {"sender_input_tokens": 1985, "sender_output_tokens": 421, "sender_prefill_ms": 993.5705000534654, "sender_ttft_ms": 27.92337501887232, "sender_decode_ms": 17741.8547909474, "provider_input_tokens": 418}, "output_usage": {"provider_output_tokens": 320}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.00014890000000000001, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n \"\"\"\n Calculate net revenue with the following rules:\n - Exclude returned rows\n - Exclude rows whose region is 'Ouest'\n - Exclude rows with fewer than 4 units\n - For remaining rows, compute line revenue = units * unit_price * (1 - discount_pct/100)\n - Sum all line revenues, apply a tax of 9.975% on the sum\n - Return the result rounded to 1 decimal place\n \"\"\"\n total = 0.0\n for row in rows:\n # Expecting keys: returned (bool), region, units, unit_price, discount_pct\n try:\n if row.get(\"returned\"):\n continue\n if row.get(\"region\") == \"Ouest\":\n continue\n units = row.get(\"units\", 0)\n if units < 4:\n continue\n unit_price = row.get(\"unit_price\", 0.0)\n discount_pct = row.get(\"discount_pct\", 0.0)\n line_rev = units * unit_price * (1 - discount_pct / 100.0)\n total += line_rev\n except AttributeError:\n # If a row isn't a dict-like object, skip\n continue\n\n tax_rate = 0.09975 # 9.975%\n total_with_tax = total * (1 + tax_rate)\n return round(total_with_tax, 1", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00206_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": "exec:SyntaxError"}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "8420cb2b892e1c3359edefa48919c7580d1d41686a7e3698d7e72d548bcc1c47", "output_hash": "c533c942e967bd58c0c56af4b501cdc88039cf57ef3eed9ae7e0c9643e263ad0"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "fa70bd7d452a7f240f6b7d89", "attempt_id": "89a58ba8d7b2", "run_group_id": "ED_hosted_core:A6|openai|budget_tokens=512|max_fetch_bytes=2000|max_lookups=6", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:56:28.661997Z", "task_family": "exec", "document_id": "exec_00206_2000", "document_hash": "e391c9d757bc03677c664222c3ff3f1bbab881d7f566c0072b184e0b90503339", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00206_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A6", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind", "max_fetch_bytes": 2000, "max_lookups": 6}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1841, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 614, "cache_tensor_bytes": null, "serialized_payload_bytes": 614, "side_information_bytes": 0, "fetched_bytes": 1460, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 19042.62112500146, "provider_total_ms": 3458.485999959521, "ttft_ms": null}, "total_wall_ms": 22501.10712496098, "ttft_ms": null, "input_usage": {"sender_input_tokens": 1985, "sender_output_tokens": 421, "sender_prefill_ms": 1025.861290981993, "sender_ttft_ms": 45.8457920467481, "sender_decode_ms": 17970.553416991606, "provider_input_tokens": 780}, "output_usage": {"provider_output_tokens": 292}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.00015580000000000002, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n \"\"\"\n Compute net revenue per row with the following rules:\n - Only rows with at least 4 units are considered, otherwise skipped.\n - unit revenue = unit_price * (1 - discount_pct/100)\n - Sum = units * unit_price * (1 - discount_pct/100)\n - Apply tax of 9.975% on the sum\n - Return the result rounded to 1 decimal place\n - The function should return a list of dicts matching input shape for included rows,\n or a single numeric total? Based on standard expectations, we return a list of\n computed net revenue per eligible row as numbers.\n \"\"\"\n results = []\n tax_rate = 0.09975\n for r in rows:\n units = r.get(\"units\")\n if units is None or units < 4:\n continue\n unit_price = r.get(\"unit_price\", 0)\n discount_pct = r.get(\"discount_pct\", 0)\n # unit revenue after discount\n unit_rev = unit_price * (1 - discount_pct / 100.0)\n total_before_tax = units * unit_rev\n total_after_tax = total_before_tax * (1 + tax_rate)\n results.append(round(total_after_tax, 1))\n return results", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00206_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "510dd3de5c787d61deefc6c6f36a8c3e08c572c77ad5e2ec625947915038694d", "output_hash": "695c47387a105be61d59db8f7ce34c10daef4435c3783d48cba60885c657f995"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "daba47ad91a9a697fe444d94", "attempt_id": "7dcac2cf6f65", "run_group_id": "ED_hosted_core:A0|anthropic|", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:56:32.165775Z", "task_family": "exec", "document_id": "exec_00207_2000", "document_hash": "7d024469b5d38776a899aa870f5af7e146953a19f1adc1d91f634cda62aa4c14", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00207_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A0", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 0, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1843, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 0, "cache_tensor_bytes": null, "serialized_payload_bytes": 0, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 1987.8578749485314, "ttft_ms": 521.8771669315174}, "total_wall_ms": 1987.8578749485314, "ttft_ms": 521.8771669315174, "input_usage": {"provider_input_tokens": 72}, "output_usage": {"provider_output_tokens": 200}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.001072, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "```python\ndef net_revenue(rows):\n \"\"\"\n Calculate net revenue from rows of transaction data.\n \n Args:\n rows: List of dictionaries with transaction data\n \n Returns:\n Total net revenue as a float\n \"\"\"\n if not rows:\n return 0.0\n \n total = 0.0\n for row in rows:\n amount = row.get('amount', 0)\n quantity = row.get('quantity', 1)\n discount = row.get('discount', 0)\n tax = row.get('tax', 0)\n status = row.get('status', 'completed')\n \n if status == 'completed':\n revenue = (amount * quantity) - discount + tax\n total += revenue\n \n return round(total, 2)\n```", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00207_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", "output_hash": "cb86c4ba02d4658262dfab31dd857f86ffd0828d44d909d607a3c09d5ce5ef59"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "f30f3f628859d74762b3d7c2", "attempt_id": "3375df76fa3d", "run_group_id": "ED_hosted_core:A1|anthropic|", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:56:34.192795Z", "task_family": "exec", "document_id": "exec_00207_2000", "document_hash": "7d024469b5d38776a899aa870f5af7e146953a19f1adc1d91f634cda62aa4c14", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00207_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1843, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7856, "cache_tensor_bytes": null, "serialized_payload_bytes": 7856, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 1248.2360830763355, "ttft_ms": 409.2927910387516}, "total_wall_ms": 1248.2360830763355, "ttft_ms": 409.2927910387516, "input_usage": {"provider_input_tokens": 2065}, "output_usage": {"provider_output_tokens": 115}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.00264, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n if r['returned']:\n continue\n if r['region'] == 'Centre':\n continue\n if r['units'] < 6:\n continue\n total += r['units'] * r['unit_price'] * (1 - r['discount_pct'] / 100.0)\n total *= 1.05\n return round(total, 2)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00207_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "7d024469b5d38776a899aa870f5af7e146953a19f1adc1d91f634cda62aa4c14", "output_hash": "2202adfeac782b18428212d68f8c269a872b8d65317c39a9086fa331c604eebf"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "2d92f9647e98f476f6cf3c61", "attempt_id": "3ce5b1bab9c1", "run_group_id": "ED_hosted_core:A1|anthropic|provider_cache=True", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:56:35.479368Z", "task_family": "exec", "document_id": "exec_00207_2000", "document_hash": "7d024469b5d38776a899aa870f5af7e146953a19f1adc1d91f634cda62aa4c14", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00207_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {"provider_cache": true}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1843, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7856, "cache_tensor_bytes": null, "serialized_payload_bytes": 7856, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, 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continue\n if row['region'] == 'Centre':\n continue\n if row['units'] < 6:\n continue\n line_revenue = row['units'] * row['unit_price'] * (1 - row['discount_pct'] / 100)\n total += line_revenue\n \n total_with_tax = total * 1.05\n return round(total_with_tax, 2)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00207_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "41864c144e25fe1f2c1ab93013cb69b3b109bb58dda9c9211f6f3b48dc2f87bb", "output_hash": "b5952e5561ef6c2db0c5ad298d8c5ef2993e66d1c2896daa0b97e11f0193f7c0"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "f4d7c534bcd7579b877e69ab", "attempt_id": "fa091144bb84", "run_group_id": "ED_hosted_core:A5|anthropic|budget_tokens=512", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", 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"reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1843, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 677, "cache_tensor_bytes": null, "serialized_payload_bytes": 677, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 10666.202875087038, "provider_total_ms": 1531.0834579868242, "ttft_ms": 443.598791025579}, "total_wall_ms": 12197.286333073862, "ttft_ms": 443.598791025579, "input_usage": {"sender_input_tokens": 1987, "sender_output_tokens": 224, "sender_prefill_ms": 1191.8162079527974, "sender_ttft_ms": 35.466167028062046, "sender_decode_ms": 9438.589665922336, "provider_input_tokens": 294}, "output_usage": {"provider_output_tokens": 155}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.001069, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "```python\ndef net_revenue(rows):\n # Filter out 'Centre' region and rows with fewer than 6 units\n filtered_rows = [row for row in rows if row.get('region') != 'Centre' and row.get('units', 0) >= 6]\n \n # Calculate sum of revenue\n total = sum(row.get('revenue', 0) for row in filtered_rows)\n \n # Apply 5.0% tax\n tax = total * 0.05\n result = total - tax\n \n # Return rounded to 2 decimals\n return round(result, 2)\n```", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00207_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": 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1132.1445829235017, "ttft_ms": 416.8308329535648}, "total_wall_ms": 11937.916832859628, "ttft_ms": 416.8308329535648, "input_usage": {"sender_input_tokens": 1987, "sender_output_tokens": 224, "sender_prefill_ms": 1209.635042003356, "sender_ttft_ms": 43.14212501049042, "sender_decode_ms": 9552.71187494509, "provider_input_tokens": 457}, "output_usage": {"provider_output_tokens": 107}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.000992, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "```python\ndef net_revenue(rows):\n total = 0.0\n for r in rows:\n if r['returned']:\n continue\n if r['units'] < 6:\n continue\n total += r['units'] * r['unit_price'] * (1 - r['discount_pct'] / 100.0)\n total = total * 1.05\n return round(total, 2)\n```", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00207_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "ff857a5af8679d055c7ebc024cc215a2985f180fd36597c9dc9d18cd4a7c5efa", "output_hash": "c30745bc86f1baa9904a2a9c196937590dc42fab39466c263c7735685de3816c"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "2fe7b33565fa72cea3cb521f", "attempt_id": "4c79c3e08688", "run_group_id": "ED_hosted_core:A0|openai|", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:57:24.928077Z", "task_family": "exec", "document_id": "exec_00207_2000", "document_hash": "7d024469b5d38776a899aa870f5af7e146953a19f1adc1d91f634cda62aa4c14", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00207_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A0", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 0, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1843, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 0, "cache_tensor_bytes": null, "serialized_payload_bytes": 0, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 2685.0622090278193, "ttft_ms": null}, "total_wall_ms": 2685.0622090278193, "ttft_ms": null, "input_usage": {"provider_input_tokens": 70}, "output_usage": {"provider_output_tokens": 320}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.0001315, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n \"\"\"\n Compute net revenue applying all agreed rules from the ticket.\n Assumptions about rules are not provided here; implement minimum\n placeholder logic to avoid breaking if called.\n \"\"\"\n # If rows is not iterable, return 0\n try:\n iterator = iter(rows)\n except TypeError:\n return 0\n\n # Default revenue calculation: sum of 'revenue' column if present,\n # otherwise sum of numeric values in row if row is a number, else 0.\n total = 0\n\n for row in rows:\n # If row is a dict-like with 'revenue' key\n if isinstance(row, dict):\n val = row.get('revenue')\n if isinstance(val, (int, float)):\n total += val\n else:\n # try numeric casting\n try:\n total += float(val)\n except Exception:\n pass\n else:\n # If row is a tuple/list with a revenue-like element\n if isinstance(row, (list, tuple)) and row:\n last = row[-1]\n if isinstance(last, (int, float)):\n total += last\n else:\n try:\n total += float(last)\n except Exception:\n pass\n else:\n # Try to cast the row itself\n if isinstance(row, (int, float)):\n total += row\n else:\n try:\n total += float(row", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00207_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": "exec:SyntaxError"}, "status": "success", 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"ttft_ms": null}, "total_wall_ms": 2173.759415978566, "ttft_ms": null, "input_usage": {"provider_input_tokens": 1822}, "output_usage": {"provider_output_tokens": 197}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.00016990000000000004, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n # exclude returned\n if r.get('returned'):\n continue\n # exclude Centre region\n if r.get('region') == 'Centre':\n continue\n # exclude fewer than 6 units\n if r.get('units', 0) < 6:\n continue\n # line revenue\n line_rev = r.get('units', 0) * r.get('unit_price', 0.0) * (1 - r.get('discount_pct', 0) / 100.0)\n total += line_rev\n # apply tax of 5.0% on the sum\n total_with_tax = total * (1 + 5.0 / 100.0)\n return round(total_with_tax, 2)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00207_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "7d024469b5d38776a899aa870f5af7e146953a19f1adc1d91f634cda62aa4c14", "output_hash": "b61e33c7d9aa0b9cd248bcfe476b6fd8912b12f1c2da102e5bd82fa1f87db50c"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "179b1bdea2d91eb8d2867bf3", "attempt_id": "589345aeca40", "run_group_id": "ED_hosted_core:A1|openai|provider_cache=True", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:57:29.871414Z", "task_family": "exec", "document_id": "exec_00207_2000", 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"cache_tensor_bytes": null, "serialized_payload_bytes": 7856, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 2214.579042047262, "ttft_ms": null}, "total_wall_ms": 2214.579042047262, "ttft_ms": null, "input_usage": {"provider_input_tokens": 1822}, "output_usage": {"provider_output_tokens": 210}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.00017510000000000003, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n # Rule (2): exclude Centre region\n if r.get('region') == 'Centre':\n continue\n # Rule (3): exclude fewer than 6 units\n if r.get('units', 0) < 6:\n continue\n # Rule (1): exclude returned rows\n if r.get('returned'):\n continue\n line_revenue = r.get('units', 0) * r.get('unit_price', 0.0) * (1 - r.get('discount_pct', 0) / 100.0)\n total += line_revenue\n # Rule (5): apply a tax of 5.0 % on the sum\n total *= 1.05\n # Rule (6): round to 2 decimals\n return round(total, 2)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00207_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "7d024469b5d38776a899aa870f5af7e146953a19f1adc1d91f634cda62aa4c14", "output_hash": "cd07ff62a5b93a1058e5115f7bab821135288a433417eb6cd79e475d96398358"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "af544e333db6efe40ff50652", "attempt_id": "7c7dfc580f03", "run_group_id": "ED_hosted_core:A4|openai|budget_tokens=512", "protocol_hash": 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"topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1843, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 1566, "cache_tensor_bytes": null, "serialized_payload_bytes": 1566, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 22925.897042034194, "provider_total_ms": 2664.7197080310434, "ttft_ms": null}, "total_wall_ms": 25590.616750065237, "ttft_ms": null, "input_usage": {"sender_input_tokens": 1959, "sender_output_tokens": 512, "sender_prefill_ms": 1189.8094590287656, "sender_ttft_ms": 42.99383296165615, "sender_decode_ms": 21692.782083060592, "provider_input_tokens": 579}, "output_usage": {"provider_output_tokens": 229}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.00012055000000000002, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n # Rule 1: Exclude returned rows\n if r.get(\"returned\"):\n continue\n # Rule 2: Exclude rows from 'Centre' region\n if r.get(\"region\") == \"Centre\":\n continue\n units = r.get(\"units\", 0)\n # Rule 3: Exclude rows with fewer than 6 units\n if units < 6:\n continue\n unit_price = r.get(\"unit_price\", 0.0)\n discount_pct = r.get(\"discount_pct\", 0.0)\n line_revenue = units * unit_price * (1 - discount_pct / 100.0)\n total += line_revenue\n # Rule 5: Apply 5.0% tax on sum\n total *= 1.05\n # Rule 6: Return result rounded to 2 decimals\n return round(total, 2)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00207_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "41864c144e25fe1f2c1ab93013cb69b3b109bb58dda9c9211f6f3b48dc2f87bb", "output_hash": "87916974df1caef23bb913917d8ff5ae55a2ba6a60cf8abfe7c3d8d9f8968b47"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "cac33bd11040729126479597", "attempt_id": "7d645d1b42b5", "run_group_id": "ED_hosted_core:A5|openai|budget_tokens=512", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:58:08.458047Z", "task_family": "exec", "document_id": "exec_00207_2000", "document_hash": "7d024469b5d38776a899aa870f5af7e146953a19f1adc1d91f634cda62aa4c14", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00207_2000", 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{"encode_ms": 10699.047500034794, "provider_total_ms": 2030.6520420126617, "ttft_ms": null}, "total_wall_ms": 12729.699542047456, "ttft_ms": null, "input_usage": {"sender_input_tokens": 1987, "sender_output_tokens": 224, "sender_prefill_ms": 1197.6059589069337, "sender_ttft_ms": 44.510416919365525, "sender_decode_ms": 9456.592667032965, "provider_input_tokens": 279}, "output_usage": {"provider_output_tokens": 156}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 7.635000000000001e-05, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n # Remove the 'Centre' region\n filtered = [row for row in rows if row.get('region') != 'Centre']\n # Remove rows with fewer than 6 units\n filtered = [row for row in filtered if row.get('units', 0) >= 6]\n\n # Sum the 'amount' values\n total = sum(row.get('amount', 0) for row in filtered)\n\n # Apply a tax of 5.0% on the sum\n taxed = total * 1.05\n\n # Return the result rounded to 2 decimals\n return round(taxed, 2)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00207_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "4930dbb50fd3ff07b500e1f7b649d30a341ddb9dbd66550e3cb3288a012ae400", "output_hash": "851649d5cc28e5dc8101a805cc90ae97ec73eb8ef850746650eaf25beb939d77"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "0e8e698f3714d0119f04b385", "attempt_id": "463aeac0389b", "run_group_id": "ED_hosted_core:A6|openai|budget_tokens=512|max_fetch_bytes=2000|max_lookups=6", "protocol_hash": 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null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 9.709999999999999e-05, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n # skip returned items\n if r.get('returned'):\n continue\n # only consider orders with 6 or more units\n if r.get('units', 0) < 6:\n continue\n # compute net revenue for the row: units * unit_price * (1 - discount_pct/100)\n total += r.get('units', 0) * r.get('unit_price', 0.0) * (1 - r.get('discount_pct', 0.0) / 100.0)\n # apply tax of 5.0% on the sum\n total *= 1.05\n # return the result rounded to 2 decimals\n return round(total, 2)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00207_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, 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"receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A0", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 0, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1872, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 0, "cache_tensor_bytes": null, "serialized_payload_bytes": 0, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 1361.6630409378558, "ttft_ms": 675.1289999810979}, "total_wall_ms": 1361.6630409378558, "ttft_ms": 675.1289999810979, "input_usage": {"provider_input_tokens": 72}, "output_usage": {"provider_output_tokens": 76}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.000452, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "I don't have access to the ticket you're referring to. To rewrite the `net_revenue(rows)` function according to the agreed rules, I would need you to provide:\n\n1. The specific rules from the ticket\n2. The current implementation of the function\n3. The expected behavior/examples\n\nCould you please share these details?", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00208_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": "exec:SyntaxError"}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", "output_hash": "3bbd9db2735009bf6e7a1afe269277693841462cd2afdf1c2c01de3a9257d286"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "5f31a4fcb6503f42cae5c3da", "attempt_id": "1f02e34bbdab", "run_group_id": "ED_hosted_core:A1|anthropic|", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:58:24.337395Z", "task_family": "exec", "document_id": "exec_00208_2000", "document_hash": "8528b3fafcf58b9daa88ffa9d7b9b25fb6e225f9bb767849744c05510a5ace37", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00208_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1872, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7854, "cache_tensor_bytes": null, "serialized_payload_bytes": 7854, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 2318.7559589277953, "ttft_ms": 1385.5463749496266}, "total_wall_ms": 2318.7559589277953, "ttft_ms": 1385.5463749496266, "input_usage": {"provider_input_tokens": 2079}, "output_usage": {"provider_output_tokens": 127}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.002714, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n if r['returned']:\n continue\n if r['region'] == 'Ouest':\n continue\n if r['units'] < 2:\n continue\n total += r['units'] * r['unit_price'] * (1 - r['discount_pct'] / 100.0)\n total *= (1 + 14.975 / 100.0)\n return round(total, 1)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00208_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "8528b3fafcf58b9daa88ffa9d7b9b25fb6e225f9bb767849744c05510a5ace37", "output_hash": "0f9eea0973bac92594da9ca1292a740c43a68692f6aea8d46028bdc902789a42"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "915d41e1d0a23b014b7c8c5f", "attempt_id": "374434da38bb", "run_group_id": "ED_hosted_core:A1|anthropic|provider_cache=True", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:58:26.694311Z", "task_family": "exec", "document_id": "exec_00208_2000", "document_hash": "8528b3fafcf58b9daa88ffa9d7b9b25fb6e225f9bb767849744c05510a5ace37", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00208_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A1", "implementation_fidelity": "custom", "compression_config": {"provider_cache": true}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1872, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7854, "cache_tensor_bytes": null, "serialized_payload_bytes": 7854, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 1404.9205830087885, "ttft_ms": 419.8085420066491}, "total_wall_ms": 1404.9205830087885, "ttft_ms": 419.8085420066491, "input_usage": {"provider_input_tokens": 2079}, "output_usage": {"provider_output_tokens": 129}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.002724, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n if r['returned']:\n continue\n if r['region'] == 'Ouest':\n continue\n if r['units'] < 2:\n continue\n total += r['units'] * r['unit_price'] * (1 - r['discount_pct'] / 100.0)\n total = total * (1 + 14.975 / 100.0)\n return round(total, 1)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00208_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "8528b3fafcf58b9daa88ffa9d7b9b25fb6e225f9bb767849744c05510a5ace37", "output_hash": "0d497e396d4e77d592fb95f6f861fe7182a270919804bba37f3e3eecc208195a"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "d9485f3fe679bce3f51488b2", "attempt_id": "cb6deda55c31", "run_group_id": "ED_hosted_core:A4|anthropic|budget_tokens=512", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:58:50.900547Z", "task_family": "exec", "document_id": "exec_00208_2000", "document_hash": "8528b3fafcf58b9daa88ffa9d7b9b25fb6e225f9bb767849744c05510a5ace37", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00208_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A4", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind"}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1872, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 1521, "cache_tensor_bytes": null, "serialized_payload_bytes": 1521, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 22758.42858303804, "provider_total_ms": 1879.2468330357224, "ttft_ms": 833.2014170009643}, "total_wall_ms": 24637.675416073762, "ttft_ms": 833.2014170009643, "input_usage": {"sender_input_tokens": 1988, "sender_output_tokens": 512, "sender_prefill_ms": 1194.0725829917938, "sender_ttft_ms": 44.3782500224188, "sender_decode_ms": 21519.55258299131, "provider_input_tokens": 622}, "output_usage": {"provider_output_tokens": 140}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.001322, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "def net_revenue(rows):\n total = 0\n for row in rows:\n if row['returned']:\n continue\n if row['region'] == 'Ouest':\n continue\n if row['units'] < 2:\n continue\n line_revenue = row['units'] * row['unit_price'] * (1 - row['discount_pct'] / 100)\n total += line_revenue\n total_with_tax = total * (1 + 14.975 / 100)\n return round(total_with_tax, 1)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00208_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "28595140a372539639ab2a7b4c97ca67c2ccbda3395c605b4280a2ae80dd8714", "output_hash": "06ec53cc8f6bfcbeb1e407cc55de826633f964102a5a0d18d725d0a2f5995d94"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "a64a263d61f71671a2c02ae1", "attempt_id": "b463182d911a", "run_group_id": "ED_hosted_core:A5|anthropic|budget_tokens=512", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:59:05.431319Z", "task_family": "exec", "document_id": "exec_00208_2000", "document_hash": "8528b3fafcf58b9daa88ffa9d7b9b25fb6e225f9bb767849744c05510a5ace37", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00208_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A5", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind"}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1872, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 201, "cache_tensor_bytes": null, "serialized_payload_bytes": 201, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 12609.295542002656, "provider_total_ms": 1945.5485419603065, "ttft_ms": 1011.9528329232708}, "total_wall_ms": 14554.844083962962, "ttft_ms": 1011.9528329232708, "input_usage": {"sender_input_tokens": 2016, "sender_output_tokens": 273, "sender_prefill_ms": 1204.9389579333365, "sender_ttft_ms": 43.87291695456952, "sender_decode_ms": 11360.124917002395, "provider_input_tokens": 174}, "output_usage": {"provider_output_tokens": 88}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.000614, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "I cannot complete this task because the provided material does not contain the actual Python function code or the agreed rules from the ticket. The JSON only shows that `net_revenue(rows)` exists and that `rows` is a list parameter, but does not include:\n\n1. The current implementation of `net_revenue(rows)`\n2. The rules/requirements from the ticket that need to be implemented\n\nunknown", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00208_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": "exec:SyntaxError"}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "0ff732100e396392750a3e5330950d3895bd33e8aa43dbb89a44d16419bdea12", "output_hash": "74795fc5f5f0c218ab70175a8f12f4094c18e353c53a596beb676032596b1589"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "ac015fbfb6dcd0e4c76809f9", "attempt_id": "f1182ba3e7a9", "run_group_id": "ED_hosted_core:A6|anthropic|budget_tokens=512|max_fetch_bytes=2000|max_lookups=6", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:59:20.052007Z", "task_family": "exec", "document_id": "exec_00208_2000", "document_hash": "8528b3fafcf58b9daa88ffa9d7b9b25fb6e225f9bb767849744c05510a5ace37", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00208_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "claude-haiku-4-5-20251001", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:anthropic", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A6", "implementation_fidelity": "custom", "compression_config": {"budget_tokens": 512, "access": "blind", "max_fetch_bytes": 2000, "max_lookups": 6}, "question_access": "blind", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1872, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 179, "cache_tensor_bytes": null, "serialized_payload_bytes": 179, "side_information_bytes": 0, "fetched_bytes": 436, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 12634.573749965057, "provider_total_ms": 1581.6851659910753, "ttft_ms": 659.9839159753174}, "total_wall_ms": 14216.258915956132, "ttft_ms": 659.9839159753174, "input_usage": {"sender_input_tokens": 2016, "sender_output_tokens": 273, "sender_prefill_ms": 964.3507499713451, "sender_ttft_ms": 48.927915981039405, "sender_decode_ms": 11621.016124961898, "provider_input_tokens": 321}, "output_usage": {"provider_output_tokens": 4}, "provider_cached_usage": {"cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.000341, "kind": "estimated", "price_source": "platform.claude.com pricing table, 2026-10-29", "model": "claude-haiku-4-5-20251001"}, "prediction_artifact": "unknown", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00208_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": "exec:NameError"}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "846e0ad8f266d5bf33b7295432b33d05aca52fc1fa2543974a8e3af838c89569", "output_hash": "b23a6a8439c0dde5515893e7c90c1e3233b8616e634470f20dc4928bcf3609bc"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "73b4cbcb449c3958d658ac18", "attempt_id": "f95ba9a037f3", "run_group_id": "ED_hosted_core:A0|openai|", "protocol_hash": "404c52b34d964693da72ef459a036ffc42fbf5f6ba8748cc9de0c554ebebddd6", "config_hash": "3b2a6ef84e0d0a57b5381c4999b84f4efc0fcfcf66078e398416b58da08a44d4", "git_commit": null, "timestamp_utc": "2026-10-30T05:59:21.672710Z", "task_family": "exec", "document_id": "exec_00208_2000", "document_hash": "8528b3fafcf58b9daa88ffa9d7b9b25fb6e225f9bb767849744c05510a5ace37", "question_id": "q00_exec", "split": "test", "cluster_id": "exec_00208_2000", "sender_model_revision": "mlx-community/Qwen2.5-3B-Instruct-bf16@bec1ad658e380044bbfe06d4a2268801d3379a11", "receiver_model_revision": "gpt-5-nano-2025-08-07", "tokenizer_hashes": {"sender": "5c5a439ba2677fe28e1dea9b22371b270ecd5e34acbc849bc619689605f9547b"}, "backend_versions": {"anthropic_sdk": "2.3.0"}, "hardware_id": "hosted:openai", "device_state": null, "weight_precision": "provider_undisclosed", "method_id": "A0", "implementation_fidelity": "custom", "compression_config": {}, "question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 0, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1872, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 0, "cache_tensor_bytes": null, "serialized_payload_bytes": 0, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 2424.2985830642283, "ttft_ms": null}, "total_wall_ms": 2424.2985830642283, "ttft_ms": null, "input_usage": {"provider_input_tokens": 70}, "output_usage": {"provider_output_tokens": 175}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 7.35e-05, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n # Implement all agreed rules as per the ticket\n # Since the exact rules are not provided here, this is a placeholder implementation.\n # If you provide the specific rules, I can implement them precisely.\n total = 0\n for row in rows:\n value = 0\n if isinstance(row, dict):\n value = row.get(\"amount\", 0)\n elif isinstance(row, (list, tuple)) and len(row) > 0:\n # assume first element is amount if list-like\n try:\n value = float(row[0])\n except Exception:\n value = 0\n try:\n total += float(value)\n except Exception:\n total += 0\n return total", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00208_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", "output_hash": "c008bcdaa24afbe02b840626858d7f3dde6fe9e091470a79b3d2791812b4058d"} {"schema_version": "wp30-attempt-1", "study_id": "WP30", "experiment_id": "ED_hosted_core", "trial_id": "7c42e2f938bc8a3a05c6a823", "attempt_id": "e3e8a16fffbc", 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"question_access": "none", "topology": "hosted_single_handoff", "handoff_index": 1, "reuse_count": 1, "cache_hit": false, "cache_compatibility_hash": null, "random_seed": 0, "source_tokens_sender": 1872, "source_tokens_receiver": null, "query_tokens": null, "message_tokens": null, "message_utf8_bytes": 7854, "cache_tensor_bytes": null, "serialized_payload_bytes": 7854, "side_information_bytes": 0, "fetched_bytes": 0, "transport_bytes_if_measured": null, "timing_spans": {"encode_ms": 0.0, "provider_total_ms": 2288.797374931164, "ttft_ms": null}, "total_wall_ms": 2288.797374931164, "ttft_ms": null, "input_usage": {"provider_input_tokens": 1833}, "output_usage": {"provider_output_tokens": 196}, "provider_cached_usage": {"cached_tokens": 0}, "process_memory": null, "backend_memory": null, "peak_prefill_memory": null, "peak_decode_memory": null, "mapper_memory": null, "cost_with_source": {"usd": 0.00017005, "kind": "estimated", "price_source": "openai.com/api/pricing, as known 2026-10 (verify)", "model": "gpt-5-nano-2025-08-07"}, "prediction_artifact": "def net_revenue(rows):\n total = 0.0\n for r in rows:\n # Rule (2): exclude region 'Ouest'\n if r.get('region') == 'Ouest':\n continue\n # Rule (1): exclude returned rows\n if r.get('returned'):\n continue\n # Rule (3): exclude fewer than 2 units\n if r.get('units', 0) < 2:\n continue\n line_revenue = r.get('units', 0) * r.get('unit_price', 0.0) * (1 - r.get('discount_pct', 0) / 100.0)\n total += line_revenue\n total_with_tax = total * (1 + 14.975 / 100.0)\n return round(total_with_tax, 1)", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00208_2000.json", "task_scores": {"correct": 1.0, "pass_rate": 1.0, "error": null}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "8528b3fafcf58b9daa88ffa9d7b9b25fb6e225f9bb767849744c05510a5ace37", "output_hash": "316f4e5db1539a7239e6a1192f9eaccea07dd73f84f77e1524bd00dae96e2334"} 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Exclude returned rows.\n 2. Exclude rows from 'Ouest' region.\n 3. Exclude rows with fewer than 2 units.\n 4. Line revenue = units * unit_price * (1 - discount_pct/100).\n 5. Apply 14.975% tax on sum.\n 6. Return result rounded to 1 decimal.\n \"\"\"\n total = 0.0\n for r in rows:\n # Rule 1: exclude returned\n if r.get(\"returned\"):\n continue\n # Rule 2: exclude region 'Ouest'\n if r.get(\"region\") == \"Ouest\":\n continue\n # Rule 3: exclude fewer than 2 units\n units = r.get(\"units\", 0)\n if units < 2:\n continue\n unit_price = r.get(\"unit_price\", 0.0)\n discount_pct = r.get(\"discount_pct\", 0.0)\n line_rev = units * unit_price * (1.0 - discount_pct / 100.0)\n total += line_rev\n # Rule 5: apply tax of 14.975%\n total *= 1.14975\n # Rule 6: round to 1 decimal\n return round(total, ", "evidence_artifact": null, "reference_key_id": "keys/exec/exec_00208_2000.json", "task_scores": {"correct": 0.0, "pass_rate": 0.0, "error": "exec:SyntaxError"}, "status": "success", "error_code": null, "retry_of": null, "log_artifact": "runs/logs/ED_hosted_core.log", "payload_hash": "28595140a372539639ab2a7b4c97ca67c2ccbda3395c605b4280a2ae80dd8714", "output_hash": 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