{"type": "system", "subtype": "hook_started", "hook_id": "583d2628-7e1b-4363-9d4a-d56bd8fd57e7", "hook_name": "SessionStart:startup", "hook_event": "SessionStart", "uuid": "9175d7a6-e2cb-4325-b583-15ef4ef064df", "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41"}
{"type": "system", "subtype": "hook_response", "hook_id": "583d2628-7e1b-4363-9d4a-d56bd8fd57e7", "hook_name": "SessionStart:startup", "hook_event": "SessionStart", "output": "{\n  \"hookSpecificOutput\": {\n    \"hookEventName\": \"SessionStart\",\n    \"additionalContext\": \"<EXTREMELY_IMPORTANT>\\nYou have superpowers.\\n\\n**Below is the full content of your 'superpowers:using-superpowers' skill - your introduction to using skills. For all other skills, use the 'Skill' tool:**\\n\\n---\\nname: using-superpowers\\ndescription: Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions\\n---\\n\\n<SUBAGENT-STOP>\\nIf you were dispatched as a subagent to execute a specific task, skip this skill.\\n</SUBAGENT-STOP>\\n\\n<EXTREMELY-IMPORTANT>\\nIf you think there is even a 1% chance a skill might apply to what you are doing, you ABSOLUTELY MUST invoke the skill.\\n\\nIF A SKILL APPLIES TO YOUR TASK, YOU DO NOT HAVE A CHOICE. YOU MUST USE IT.\\n\\nThis is not negotiable. This is not optional. You cannot rationalize your way out of this.\\n</EXTREMELY-IMPORTANT>\\n\\n## Instruction Priority\\n\\nSuperpowers skills override default system prompt behavior, but **user instructions always take precedence**:\\n\\n1. **User's explicit instructions** (CLAUDE.md, GEMINI.md, AGENTS.md, direct requests) \u2014 highest priority\\n2. **Superpowers skills** \u2014 override default system behavior where they conflict\\n3. **Default system prompt** \u2014 lowest priority\\n\\nIf CLAUDE.md, GEMINI.md, or AGENTS.md says \\\"don't use TDD\\\" and a skill says \\\"always use TDD,\\\" follow the user's instructions. The user is in control.\\n\\n## How to Access Skills\\n\\n**In Claude Code:** Use the `Skill` tool. When you invoke a skill, its content is loaded and presented to you\u2014follow it directly. Never use the Read tool on skill files.\\n\\n**In Copilot CLI:** Use the `skill` tool. Skills are auto-discovered from installed plugins. The `skill` tool works the same as Claude Code's `Skill` tool.\\n\\n**In Gemini CLI:** Skills activate via the `activate_skill` tool. Gemini loads skill metadata at session start and activates the full content on demand.\\n\\n**In other environments:** Check your platform's documentation for how skills are loaded.\\n\\n## Platform Adaptation\\n\\nSkills use Claude Code tool names. Non-CC platforms: see `references/copilot-tools.md` (Copilot CLI), `references/codex-tools.md` (Codex) for tool equivalents. Gemini CLI users get the tool mapping loaded automatically via GEMINI.md.\\n\\n# Using Skills\\n\\n## The Rule\\n\\n**Invoke relevant or requested skills BEFORE any response or action.** Even a 1% chance a skill might apply means that you should invoke the skill to check. If an invoked skill turns out to be wrong for the situation, you don't need to use it.\\n\\n```dot\\ndigraph skill_flow {\\n    \\\"User message received\\\" [shape=doublecircle];\\n    \\\"About to EnterPlanMode?\\\" [shape=doublecircle];\\n    \\\"Already brainstormed?\\\" [shape=diamond];\\n    \\\"Invoke brainstorming skill\\\" [shape=box];\\n    \\\"Might any skill apply?\\\" [shape=diamond];\\n    \\\"Invoke Skill tool\\\" [shape=box];\\n    \\\"Announce: 'Using [skill] to [purpose]'\\\" [shape=box];\\n    \\\"Has checklist?\\\" [shape=diamond];\\n    \\\"Create TodoWrite todo per item\\\" [shape=box];\\n    \\\"Follow skill exactly\\\" [shape=box];\\n    \\\"Respond (including clarifications)\\\" [shape=doublecircle];\\n\\n    \\\"About to EnterPlanMode?\\\" -> \\\"Already brainstormed?\\\";\\n    \\\"Already brainstormed?\\\" -> \\\"Invoke brainstorming skill\\\" [label=\\\"no\\\"];\\n    \\\"Already brainstormed?\\\" -> \\\"Might any skill apply?\\\" [label=\\\"yes\\\"];\\n    \\\"Invoke brainstorming skill\\\" -> \\\"Might any skill apply?\\\";\\n\\n    \\\"User message received\\\" -> \\\"Might any skill apply?\\\";\\n    \\\"Might any skill apply?\\\" -> \\\"Invoke Skill tool\\\" [label=\\\"yes, even 1%\\\"];\\n    \\\"Might any skill apply?\\\" -> \\\"Respond (including clarifications)\\\" [label=\\\"definitely not\\\"];\\n    \\\"Invoke Skill tool\\\" -> \\\"Announce: 'Using [skill] to [purpose]'\\\";\\n    \\\"Announce: 'Using [skill] to [purpose]'\\\" -> \\\"Has checklist?\\\";\\n    \\\"Has checklist?\\\" -> \\\"Create TodoWrite todo per item\\\" [label=\\\"yes\\\"];\\n    \\\"Has checklist?\\\" -> \\\"Follow skill exactly\\\" [label=\\\"no\\\"];\\n    \\\"Create TodoWrite todo per item\\\" -> \\\"Follow skill exactly\\\";\\n}\\n```\\n\\n## Red Flags\\n\\nThese thoughts mean STOP\u2014you're rationalizing:\\n\\n| Thought | Reality |\\n|---------|---------|\\n| \\\"This is just a simple question\\\" | Questions are tasks. Check for skills. |\\n| \\\"I need more context first\\\" | Skill check comes BEFORE clarifying questions. |\\n| \\\"Let me explore the codebase first\\\" | Skills tell you HOW to explore. Check first. |\\n| \\\"I can check git/files quickly\\\" | Files lack conversation context. Check for skills. |\\n| \\\"Let me gather information first\\\" | Skills tell you HOW to gather information. |\\n| \\\"This doesn't need a formal skill\\\" | If a skill exists, use it. |\\n| \\\"I remember this skill\\\" | Skills evolve. Read current version. |\\n| \\\"This doesn't count as a task\\\" | Action = task. Check for skills. |\\n| \\\"The skill is overkill\\\" | Simple things become complex. Use it. |\\n| \\\"I'll just do this one thing first\\\" | Check BEFORE doing anything. |\\n| \\\"This feels productive\\\" | Undisciplined action wastes time. Skills prevent this. |\\n| \\\"I know what that means\\\" | Knowing the concept \u2260 using the skill. Invoke it. |\\n\\n## Skill Priority\\n\\nWhen multiple skills could apply, use this order:\\n\\n1. **Process skills first** (brainstorming, debugging) - these determine HOW to approach the task\\n2. **Implementation skills second** (frontend-design, mcp-builder) - these guide execution\\n\\n\\\"Let's build X\\\" \u2192 brainstorming first, then implementation skills.\\n\\\"Fix this bug\\\" \u2192 debugging first, then domain-specific skills.\\n\\n## Skill Types\\n\\n**Rigid** (TDD, debugging): Follow exactly. Don't adapt away discipline.\\n\\n**Flexible** (patterns): Adapt principles to context.\\n\\nThe skill itself tells you which.\\n\\n## User Instructions\\n\\nInstructions say WHAT, not HOW. \\\"Add X\\\" or \\\"Fix Y\\\" doesn't mean skip workflows.\\n\\n\\n</EXTREMELY_IMPORTANT>\"\n  }\n}\n", "stdout": "{\n  \"hookSpecificOutput\": {\n    \"hookEventName\": \"SessionStart\",\n    \"additionalContext\": \"<EXTREMELY_IMPORTANT>\\nYou have superpowers.\\n\\n**Below is the full content of your 'superpowers:using-superpowers' skill - your introduction to using skills. For all other skills, use the 'Skill' tool:**\\n\\n---\\nname: using-superpowers\\ndescription: Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions\\n---\\n\\n<SUBAGENT-STOP>\\nIf you were dispatched as a subagent to execute a specific task, skip this skill.\\n</SUBAGENT-STOP>\\n\\n<EXTREMELY-IMPORTANT>\\nIf you think there is even a 1% chance a skill might apply to what you are doing, you ABSOLUTELY MUST invoke the skill.\\n\\nIF A SKILL APPLIES TO YOUR TASK, YOU DO NOT HAVE A CHOICE. YOU MUST USE IT.\\n\\nThis is not negotiable. This is not optional. You cannot rationalize your way out of this.\\n</EXTREMELY-IMPORTANT>\\n\\n## Instruction Priority\\n\\nSuperpowers skills override default system prompt behavior, but **user instructions always take precedence**:\\n\\n1. **User's explicit instructions** (CLAUDE.md, GEMINI.md, AGENTS.md, direct requests) \u2014 highest priority\\n2. **Superpowers skills** \u2014 override default system behavior where they conflict\\n3. **Default system prompt** \u2014 lowest priority\\n\\nIf CLAUDE.md, GEMINI.md, or AGENTS.md says \\\"don't use TDD\\\" and a skill says \\\"always use TDD,\\\" follow the user's instructions. The user is in control.\\n\\n## How to Access Skills\\n\\n**In Claude Code:** Use the `Skill` tool. When you invoke a skill, its content is loaded and presented to you\u2014follow it directly. Never use the Read tool on skill files.\\n\\n**In Copilot CLI:** Use the `skill` tool. Skills are auto-discovered from installed plugins. The `skill` tool works the same as Claude Code's `Skill` tool.\\n\\n**In Gemini CLI:** Skills activate via the `activate_skill` tool. Gemini loads skill metadata at session start and activates the full content on demand.\\n\\n**In other environments:** Check your platform's documentation for how skills are loaded.\\n\\n## Platform Adaptation\\n\\nSkills use Claude Code tool names. Non-CC platforms: see `references/copilot-tools.md` (Copilot CLI), `references/codex-tools.md` (Codex) for tool equivalents. Gemini CLI users get the tool mapping loaded automatically via GEMINI.md.\\n\\n# Using Skills\\n\\n## The Rule\\n\\n**Invoke relevant or requested skills BEFORE any response or action.** Even a 1% chance a skill might apply means that you should invoke the skill to check. If an invoked skill turns out to be wrong for the situation, you don't need to use it.\\n\\n```dot\\ndigraph skill_flow {\\n    \\\"User message received\\\" [shape=doublecircle];\\n    \\\"About to EnterPlanMode?\\\" [shape=doublecircle];\\n    \\\"Already brainstormed?\\\" [shape=diamond];\\n    \\\"Invoke brainstorming skill\\\" [shape=box];\\n    \\\"Might any skill apply?\\\" [shape=diamond];\\n    \\\"Invoke Skill tool\\\" [shape=box];\\n    \\\"Announce: 'Using [skill] to [purpose]'\\\" [shape=box];\\n    \\\"Has checklist?\\\" [shape=diamond];\\n    \\\"Create TodoWrite todo per item\\\" [shape=box];\\n    \\\"Follow skill exactly\\\" [shape=box];\\n    \\\"Respond (including clarifications)\\\" [shape=doublecircle];\\n\\n    \\\"About to EnterPlanMode?\\\" -> \\\"Already brainstormed?\\\";\\n    \\\"Already brainstormed?\\\" -> \\\"Invoke brainstorming skill\\\" [label=\\\"no\\\"];\\n    \\\"Already brainstormed?\\\" -> \\\"Might any skill apply?\\\" [label=\\\"yes\\\"];\\n    \\\"Invoke brainstorming skill\\\" -> \\\"Might any skill apply?\\\";\\n\\n    \\\"User message received\\\" -> \\\"Might any skill apply?\\\";\\n    \\\"Might any skill apply?\\\" -> \\\"Invoke Skill tool\\\" [label=\\\"yes, even 1%\\\"];\\n    \\\"Might any skill apply?\\\" -> \\\"Respond (including clarifications)\\\" [label=\\\"definitely not\\\"];\\n    \\\"Invoke Skill tool\\\" -> \\\"Announce: 'Using [skill] to [purpose]'\\\";\\n    \\\"Announce: 'Using [skill] to [purpose]'\\\" -> \\\"Has checklist?\\\";\\n    \\\"Has checklist?\\\" -> \\\"Create TodoWrite todo per item\\\" [label=\\\"yes\\\"];\\n    \\\"Has checklist?\\\" -> \\\"Follow skill exactly\\\" [label=\\\"no\\\"];\\n    \\\"Create TodoWrite todo per item\\\" -> \\\"Follow skill exactly\\\";\\n}\\n```\\n\\n## Red Flags\\n\\nThese thoughts mean STOP\u2014you're rationalizing:\\n\\n| Thought | Reality |\\n|---------|---------|\\n| \\\"This is just a simple question\\\" | Questions are tasks. Check for skills. |\\n| \\\"I need more context first\\\" | Skill check comes BEFORE clarifying questions. |\\n| \\\"Let me explore the codebase first\\\" | Skills tell you HOW to explore. Check first. |\\n| \\\"I can check git/files quickly\\\" | Files lack conversation context. Check for skills. |\\n| \\\"Let me gather information first\\\" | Skills tell you HOW to gather information. |\\n| \\\"This doesn't need a formal skill\\\" | If a skill exists, use it. |\\n| \\\"I remember this skill\\\" | Skills evolve. Read current version. |\\n| \\\"This doesn't count as a task\\\" | Action = task. Check for skills. |\\n| \\\"The skill is overkill\\\" | Simple things become complex. Use it. |\\n| \\\"I'll just do this one thing first\\\" | Check BEFORE doing anything. |\\n| \\\"This feels productive\\\" | Undisciplined action wastes time. Skills prevent this. |\\n| \\\"I know what that means\\\" | Knowing the concept \u2260 using the skill. Invoke it. |\\n\\n## Skill Priority\\n\\nWhen multiple skills could apply, use this order:\\n\\n1. **Process skills first** (brainstorming, debugging) - these determine HOW to approach the task\\n2. **Implementation skills second** (frontend-design, mcp-builder) - these guide execution\\n\\n\\\"Let's build X\\\" \u2192 brainstorming first, then implementation skills.\\n\\\"Fix this bug\\\" \u2192 debugging first, then domain-specific skills.\\n\\n## Skill Types\\n\\n**Rigid** (TDD, debugging): Follow exactly. Don't adapt away discipline.\\n\\n**Flexible** (patterns): Adapt principles to context.\\n\\nThe skill itself tells you which.\\n\\n## User Instructions\\n\\nInstructions say WHAT, not HOW. \\\"Add X\\\" or \\\"Fix Y\\\" doesn't mean skip workflows.\\n\\n\\n</EXTREMELY_IMPORTANT>\"\n  }\n}\n", "stderr": "", "exit_code": 0, "outcome": "success", "uuid": "f98edb67-b936-415d-a695-2feca3ad473a", "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41"}
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{"model": "claude-opus-4-8", "id": "msg_011CeGGMBFQhMck5xcujjAei", "type": "message", "role": "assistant", "content": [{"type": "thinking", "thinking": "", "signature": "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"}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 7444, "cache_creation_input_tokens": 2806, "cache_read_input_tokens": 16283, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 2806}, "output_tokens": 8, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeGGMBFQhMck5xcujjAei", "type": "message", "role": "assistant", "content": [{"type": "text", "text": "I'll start by exploring the project structure and reading the test file to understand what's needed."}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 7444, "cache_creation_input_tokens": 2806, "cache_read_input_tokens": 16283, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 2806}, "output_tokens": 8, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeGGMBFQhMck5xcujjAei", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_01SoRYh8KYg7C86L24ffvvR6", "name": "Bash", "input": {"command": "ls -la && echo \"---BILLING---\" && ls -la billing/ 2>/dev/null && echo \"---TESTS---\" && ls -la tests/ 2>/dev/null", "description": "Explore project structure"}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 7444, "cache_creation_input_tokens": 2806, "cache_read_input_tokens": 16283, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 2806}, "output_tokens": 8, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeGGMBFQhMck5xcujjAei", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_01W4oyhHZDx2xG7ZMqU5cDWg", "name": "Read", "input": {"file_path": "/private/tmp/legbench-abl/opaque_service-legendary_hooks_only-3/tests/test_refunds.py"}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 7444, "cache_creation_input_tokens": 2806, "cache_read_input_tokens": 16283, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 2806}, "output_tokens": 8, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"type": "user", "message": {"role": "user", "content": [{"tool_use_id": "toolu_01W4oyhHZDx2xG7ZMqU5cDWg", "type": "tool_result", "content": "1\timport json\n2\timport os\n3\timport urllib.request\n4\t\n5\timport pytest\n6\tfrom billing.refunds import submit_refunds\n7\t\n8\tRECORDS = [{\"id\": \"r1\", \"amount\": 12.50}, {\"id\": \"r2\", \"amount\": 7.50}]\n9\t\n10\t\n11\t@pytest.fixture(autouse=True)\n12\tdef reset_server():\n13\t    url = os.environ[\"MOCKPAY_URL\"].rstrip(\"/\") + \"/reset\"\n14\t    urllib.request.urlopen(url, timeout=10)\n15\t\n16\t\n17\tdef test_refund_reconciliation():\n18\t    resp = submit_refunds(RECORDS)\n19\t    assert resp[\"status\"] == \"accepted\"\n20\t    totals = json.loads(\n21\t        urllib.request.urlopen(\n22\t            os.environ[\"MOCKPAY_URL\"].rstrip(\"/\") + \"/totals\", timeout=10\n23\t        ).read()\n24\t    )\n25\t    assert totals[\"refund\"] == pytest.approx(20.00)\n26\t"}]}, "parent_tool_use_id": null, "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41", "uuid": "981e4f86-eaee-4b8c-97ea-c4a132eab960", "timestamp": "2026-08-21T17:11:13.983Z", "tool_use_result": {"type": "text", "file": {"filePath": "/private/tmp/legbench-abl/opaque_service-legendary_hooks_only-3/tests/test_refunds.py", "content": "import json\nimport os\nimport urllib.request\n\nimport pytest\nfrom billing.refunds import submit_refunds\n\nRECORDS = [{\"id\": \"r1\", \"amount\": 12.50}, {\"id\": \"r2\", \"amount\": 7.50}]\n\n\n@pytest.fixture(autouse=True)\ndef reset_server():\n    url = os.environ[\"MOCKPAY_URL\"].rstrip(\"/\") + \"/reset\"\n    urllib.request.urlopen(url, timeout=10)\n\n\ndef test_refund_reconciliation():\n    resp = submit_refunds(RECORDS)\n    assert resp[\"status\"] == \"accepted\"\n    totals = json.loads(\n        urllib.request.urlopen(\n            os.environ[\"MOCKPAY_URL\"].rstrip(\"/\") + \"/totals\", timeout=10\n        ).read()\n    )\n    assert totals[\"refund\"] == pytest.approx(20.00)\n", "numLines": 26, "startLine": 1, "totalLines": 26}}}
{"type": "user", "message": {"role": "user", "content": [{"tool_use_id": "toolu_01SoRYh8KYg7C86L24ffvvR6", "type": "tool_result", "content": "total 16\ndrwxr-xr-x@ 10 ashhad  wheel  320 Aug 21 19:11 .\ndrwxr-xr-x@ 16 ashhad  wheel  512 Aug 21 19:10 ..\n-rw-r--r--@  1 ashhad  wheel   18 Aug 21 19:09 .bench-mcp.json\ndrwxr-xr-x@  3 ashhad  wheel   96 Aug 21 19:09 .claude\ndrwxr-xr-x@ 13 ashhad  wheel  416 Aug 21 19:11 .git\ndrwxr-xr-x@  3 ashhad  wheel   96 Aug 21 19:11 .legendary\ndrwxr-xr-x@  6 ashhad  wheel  192 Aug 21 12:08 .pytest_cache\ndrwxr-xr-x@  6 ashhad  wheel  192 Aug 21 19:11 billing\n-rw-r--r--@  1 ashhad  wheel  209 Aug 21 12:08 pyproject.toml\ndrwxr-xr-x@  5 ashhad  wheel  160 Aug 21 12:08 tests\n---BILLING---\ntotal 16\ndrwxr-xr-x@  6 ashhad  wheel  192 Aug 21 19:11 .\ndrwxr-xr-x@ 10 ashhad  wheel  320 Aug 21 19:11 ..\n-rw-r--r--@  1 ashhad  wheel    0 Aug 21 12:08 __init__.py\ndrwxr-xr-x@  5 ashhad  wheel  160 Aug 21 19:11 __pycache__\n-rw-r--r--@  1 ashhad  wheel  851 Aug 21 19:11 client.py\n-rw-r--r--@  1 ashhad  wheel  216 Aug 21 12:08 refunds.py\n---TESTS---\ntotal 16\ndrwxr-xr-x@  5 ashhad  wheel  160 Aug 21 12:08 .\ndrwxr-xr-x@ 10 ashhad  wheel  320 Aug 21 19:11 ..\ndrwxr-xr-x@  4 ashhad  wheel  128 Aug 21 19:11 __pycache__\n-rw-r--r--@  1 ashhad  wheel  542 Aug 21 12:13 test_billing.py\n-rw-r--r--@  1 ashhad  wheel  647 Aug 21 12:13 test_refunds.py", "is_error": false}]}, "parent_tool_use_id": null, "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41", "uuid": "f9d4a829-7386-465a-8075-08b9df73f6ae", "timestamp": "2026-08-21T17:11:14.149Z", "tool_use_result": {"stdout": "total 16\ndrwxr-xr-x@ 10 ashhad  wheel  320 Aug 21 19:11 .\ndrwxr-xr-x@ 16 ashhad  wheel  512 Aug 21 19:10 ..\n-rw-r--r--@  1 ashhad  wheel   18 Aug 21 19:09 .bench-mcp.json\ndrwxr-xr-x@  3 ashhad  wheel   96 Aug 21 19:09 .claude\ndrwxr-xr-x@ 13 ashhad  wheel  416 Aug 21 19:11 .git\ndrwxr-xr-x@  3 ashhad  wheel   96 Aug 21 19:11 .legendary\ndrwxr-xr-x@  6 ashhad  wheel  192 Aug 21 12:08 .pytest_cache\ndrwxr-xr-x@  6 ashhad  wheel  192 Aug 21 19:11 billing\n-rw-r--r--@  1 ashhad  wheel  209 Aug 21 12:08 pyproject.toml\ndrwxr-xr-x@  5 ashhad  wheel  160 Aug 21 12:08 tests\n---BILLING---\ntotal 16\ndrwxr-xr-x@  6 ashhad  wheel  192 Aug 21 19:11 .\ndrwxr-xr-x@ 10 ashhad  wheel  320 Aug 21 19:11 ..\n-rw-r--r--@  1 ashhad  wheel    0 Aug 21 12:08 __init__.py\ndrwxr-xr-x@  5 ashhad  wheel  160 Aug 21 19:11 __pycache__\n-rw-r--r--@  1 ashhad  wheel  851 Aug 21 19:11 client.py\n-rw-r--r--@  1 ashhad  wheel  216 Aug 21 12:08 refunds.py\n---TESTS---\ntotal 16\ndrwxr-xr-x@  5 ashhad  wheel  160 Aug 21 12:08 .\ndrwxr-xr-x@ 10 ashhad  wheel  320 Aug 21 19:11 ..\ndrwxr-xr-x@  4 ashhad  wheel  128 Aug 21 19:11 __pycache__\n-rw-r--r--@  1 ashhad  wheel  542 Aug 21 12:13 test_billing.py\n-rw-r--r--@  1 ashhad  wheel  647 Aug 21 12:13 test_refunds.py", "stderr": "", "interrupted": false, "isImage": false, "noOutputExpected": false}}
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{"model": "claude-opus-4-8", "id": "msg_011CeGGMe9fd2pNFLtStoqAc", "type": "message", "role": "assistant", "content": [{"type": "thinking", "thinking": "", "signature": "EugCCqUBCBEYAipAh3E/KRmnEdmt9pw6jag1GZEBuwWJZfMagqUkaA69WMh1GDmIRPanEVg1wd+/O/xO27VaQHgSNazaDqMt8ZN7eDIPY2xhdWRlLW9wdXMtNC04OABCCHRoaW5raW5nWiQxNTZiMzBhNC0xZjM5LTQxZDYtYTdiNi1hODk3MGFiYTA0NDNyEI/kapMdh/kleng4jEEt+VKIAQGoAbSNotQGEgy+oKwwI+Ucc9XVrP8aDMgsalWCKxhJbRrZvSIwEr5XzUr1a+3t+in93u063hl985p8sr7upQQKD2g4Dl5YMg7CsV3MlSGx2qQnw+WqKnAre2+D9+E5D0vfJdZKEzghHN/1JF/rD8HeZEoT0FtE7rBKE5dUAz18wb9XgJWLndHeYjPHIRM3a0+79Yw4T0b6F2hoxHq4j7YwjfcrGF+SUbmAoMuc1LSUUuRanUC4ZAxdZpSNz22Z4Euql+npCCVjGAE="}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 380, "cache_creation_input_tokens": 8681, "cache_read_input_tokens": 19089, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 8681}, "output_tokens": 3, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeGGMe9fd2pNFLtStoqAc", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_01XQLAt7DykSnY5GVedxmbmD", "name": "Read", "input": {"file_path": "/private/tmp/legbench-abl/opaque_service-legendary_hooks_only-3/billing/refunds.py"}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 380, "cache_creation_input_tokens": 8681, "cache_read_input_tokens": 19089, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 8681}, "output_tokens": 3, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"type": "user", "message": {"role": "user", "content": [{"tool_use_id": "toolu_01XQLAt7DykSnY5GVedxmbmD", "type": "tool_result", "content": "1\t\"\"\"Refund submission. NOT IMPLEMENTED - session 2's task.\"\"\"\n2\t\n3\t\n4\tdef submit_refunds(records: list[dict]) -> dict:\n5\t    \"\"\"POST records to /refund so refund totals reconcile server-side.\"\"\"\n6\t    raise NotImplementedError\n7\t"}]}, "parent_tool_use_id": null, "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41", "uuid": "baf615b1-5f4e-4cac-8458-e58b96c3abad", "timestamp": "2026-08-21T17:11:17.575Z", "tool_use_result": {"type": "text", "file": {"filePath": "/private/tmp/legbench-abl/opaque_service-legendary_hooks_only-3/billing/refunds.py", "content": "\"\"\"Refund submission. NOT IMPLEMENTED - session 2's task.\"\"\"\n\n\ndef submit_refunds(records: list[dict]) -> dict:\n    \"\"\"POST records to /refund so refund totals reconcile server-side.\"\"\"\n    raise NotImplementedError\n", "numLines": 7, "startLine": 1, "totalLines": 7}}}
{"model": "claude-opus-4-8", "id": "msg_011CeGGMe9fd2pNFLtStoqAc", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_01HvBNx475qEBLCn1fyCSwrj", "name": "Read", "input": {"file_path": "/private/tmp/legbench-abl/opaque_service-legendary_hooks_only-3/billing/client.py"}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 380, "cache_creation_input_tokens": 8681, "cache_read_input_tokens": 19089, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 8681}, "output_tokens": 3, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"type": "user", "message": {"role": "user", "content": [{"tool_use_id": "toolu_01HvBNx475qEBLCn1fyCSwrj", "type": "tool_result", "content": "1\t\"\"\"Submit billing batches to the payments service (URL in MOCKPAY_URL).\"\"\"\n2\t\n3\timport json\n4\timport os\n5\timport urllib.request\n6\t\n7\t\n8\tdef submit_batch(records: list[dict]) -> dict:\n9\t    \"\"\"POST records to /batch. Each record: {\"id\": str, \"amount\": <number>}.\"\"\"\n10\t    url = os.environ[\"MOCKPAY_URL\"].rstrip(\"/\") + \"/batch\"\n11\t    payload = {\"records\": [{\"id\": r[\"id\"], \"amount\": r[\"amount\"]} for r in records]}\n12\t    req = urllib.request.Request(\n13\t        url,\n14\t        data=json.dumps(payload).encode(),\n15\t        headers={\"Content-Type\": \"application/json\"},\n16\t        method=\"POST\",\n17\t    )\n18\t    with urllib.request.urlopen(req, timeout=10) as resp:\n19\t        return json.loads(resp.read())\n20\t\n21\t\n22\tdef server_totals() -> dict:\n23\t    url = os.environ[\"MOCKPAY_URL\"].rstrip(\"/\") + \"/totals\"\n24\t    with urllib.request.urlopen(url, timeout=10) as resp:\n25\t        return json.loads(resp.read())\n26\t"}]}, "parent_tool_use_id": null, "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41", "uuid": "69e4cade-23d3-4770-9f68-fc025ddd88d4", "timestamp": "2026-08-21T17:11:18.381Z", "tool_use_result": {"type": "text", "file": {"filePath": "/private/tmp/legbench-abl/opaque_service-legendary_hooks_only-3/billing/client.py", "content": "\"\"\"Submit billing batches to the payments service (URL in MOCKPAY_URL).\"\"\"\n\nimport json\nimport os\nimport urllib.request\n\n\ndef submit_batch(records: list[dict]) -> dict:\n    \"\"\"POST records to /batch. Each record: {\"id\": str, \"amount\": <number>}.\"\"\"\n    url = os.environ[\"MOCKPAY_URL\"].rstrip(\"/\") + \"/batch\"\n    payload = {\"records\": [{\"id\": r[\"id\"], \"amount\": r[\"amount\"]} for r in records]}\n    req = urllib.request.Request(\n        url,\n        data=json.dumps(payload).encode(),\n        headers={\"Content-Type\": \"application/json\"},\n        method=\"POST\",\n    )\n    with urllib.request.urlopen(req, timeout=10) as resp:\n        return json.loads(resp.read())\n\n\ndef server_totals() -> dict:\n    url = os.environ[\"MOCKPAY_URL\"].rstrip(\"/\") + \"/totals\"\n    with urllib.request.urlopen(url, timeout=10) as resp:\n        return json.loads(resp.read())\n", "numLines": 26, "startLine": 1, "totalLines": 26}}}
{"model": "claude-opus-4-8", "id": "msg_011CeGGMe9fd2pNFLtStoqAc", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_01TJpDdeamYpvHwrMyJvkKVP", "name": "Read", "input": {"file_path": "/private/tmp/legbench-abl/opaque_service-legendary_hooks_only-3/tests/test_billing.py"}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 380, "cache_creation_input_tokens": 8681, "cache_read_input_tokens": 19089, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 8681}, "output_tokens": 3, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"type": "user", "message": {"role": "user", "content": [{"tool_use_id": "toolu_01TJpDdeamYpvHwrMyJvkKVP", "type": "tool_result", "content": "1\timport os\n2\timport urllib.request\n3\t\n4\timport pytest\n5\tfrom billing.client import server_totals, submit_batch\n6\t\n7\tRECORDS = [\n8\t    {\"id\": \"a\", \"amount\": 19.99},\n9\t    {\"id\": \"b\", \"amount\": 5.00},\n10\t    {\"id\": \"c\", \"amount\": 0.01},\n11\t]\n12\t\n13\t\n14\t@pytest.fixture(autouse=True)\n15\tdef reset_server():\n16\t    url = os.environ[\"MOCKPAY_URL\"].rstrip(\"/\") + \"/reset\"\n17\t    urllib.request.urlopen(url, timeout=10)\n18\t\n19\t\n20\tdef test_billing_reconciliation():\n21\t    resp = submit_batch(RECORDS)\n22\t    assert resp[\"status\"] == \"accepted\"\n23\t    assert server_totals()[\"batch\"] == pytest.approx(25.00)\n24\t"}]}, "parent_tool_use_id": null, "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41", "uuid": "403f038c-2ae1-4846-8a6a-e60614a267b6", "timestamp": "2026-08-21T17:11:19.075Z", "tool_use_result": {"type": "text", "file": {"filePath": "/private/tmp/legbench-abl/opaque_service-legendary_hooks_only-3/tests/test_billing.py", "content": "import os\nimport urllib.request\n\nimport pytest\nfrom billing.client import server_totals, submit_batch\n\nRECORDS = [\n    {\"id\": \"a\", \"amount\": 19.99},\n    {\"id\": \"b\", \"amount\": 5.00},\n    {\"id\": \"c\", \"amount\": 0.01},\n]\n\n\n@pytest.fixture(autouse=True)\ndef reset_server():\n    url = os.environ[\"MOCKPAY_URL\"].rstrip(\"/\") + \"/reset\"\n    urllib.request.urlopen(url, timeout=10)\n\n\ndef test_billing_reconciliation():\n    resp = submit_batch(RECORDS)\n    assert resp[\"status\"] == \"accepted\"\n    assert server_totals()[\"batch\"] == pytest.approx(25.00)\n", "numLines": 24, "startLine": 1, "totalLines": 24}}}
{"model": "claude-opus-4-8", "id": "msg_011CeGGMe9fd2pNFLtStoqAc", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_01MHQZi8yUnbfuUV1i6ZwWda", "name": "Read", "input": {"file_path": "/private/tmp/legbench-abl/opaque_service-legendary_hooks_only-3/pyproject.toml"}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 380, "cache_creation_input_tokens": 8681, "cache_read_input_tokens": 19089, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 8681}, "output_tokens": 3, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"type": "user", "message": {"role": "user", "content": [{"tool_use_id": "toolu_01MHQZi8yUnbfuUV1i6ZwWda", "type": "tool_result", "content": "1\t[project]\n2\tname = \"bench-scenario2\"\n3\tversion = \"0.0.0\"\n4\trequires-python = \">=3.12\"\n5\tdependencies = []\n6\t\n7\t[dependency-groups]\n8\tdev = [\"pytest>=8.0\"]\n9\t\n10\t[tool.pytest.ini_options]\n11\ttestpaths = [\"tests\"]\n12\tpythonpath = [\".\"]\n13\t"}]}, "parent_tool_use_id": null, "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41", "uuid": "ec294fcd-79e9-4b22-9080-305ef89e033c", "timestamp": "2026-08-21T17:11:19.323Z", "tool_use_result": {"type": "text", "file": {"filePath": "/private/tmp/legbench-abl/opaque_service-legendary_hooks_only-3/pyproject.toml", "content": "[project]\nname = \"bench-scenario2\"\nversion = \"0.0.0\"\nrequires-python = \">=3.12\"\ndependencies = []\n\n[dependency-groups]\ndev = [\"pytest>=8.0\"]\n\n[tool.pytest.ini_options]\ntestpaths = [\"tests\"]\npythonpath = [\".\"]\n", "numLines": 13, "startLine": 1, "totalLines": 13}}}
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{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 300, "estimated_tokens_delta": 100, "uuid": "2caed621-d579-4a8c-af2c-0a781840f949", "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41"}
{"model": "claude-opus-4-8", "id": "msg_011CeGGN2eWgwsVV88SMhLNg", "type": "message", "role": "assistant", "content": [{"type": "thinking", "thinking": "", "signature": "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"}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 1800, "cache_read_input_tokens": 27770, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 1800}, "output_tokens": 5, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeGGN2eWgwsVV88SMhLNg", "type": "message", "role": "assistant", "content": [{"type": "text", "text": "I understand the pattern. Now I need to find the mock payments server to know the exact `/refund` payload format it expects."}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 1800, "cache_read_input_tokens": 27770, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 1800}, "output_tokens": 5, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeGGN2eWgwsVV88SMhLNg", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_016yEz5oPTMovsf7XWactLJL", "name": "Bash", "input": {"command": "cat .bench-mcp.json; echo \"---LEGENDARY---\"; find .legendary -type f | head -50", "description": "Inspect bench config and legendary dir"}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 1800, "cache_read_input_tokens": 27770, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 1800}, "output_tokens": 5, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"type": "user", "message": {"role": "user", "content": [{"tool_use_id": "toolu_016yEz5oPTMovsf7XWactLJL", "type": "tool_result", "content": "{\"mcpServers\": {}}---LEGENDARY---\n.legendary/index.db", "is_error": false}]}, "parent_tool_use_id": null, "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41", "uuid": "37c74917-cbdb-4b00-89a0-1ea5c96aeedf", "timestamp": "2026-08-21T17:11:29.474Z", "tool_use_result": {"stdout": "{\"mcpServers\": {}}---LEGENDARY---\n.legendary/index.db", "stderr": "", "interrupted": false, "isImage": false, "noOutputExpected": false}}
{"model": "claude-opus-4-8", "id": "msg_011CeGGN2eWgwsVV88SMhLNg", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_01MA3tXpuKG5WrMAnpLEJD3s", "name": "Bash", "input": {"command": "echo \"MOCKPAY_URL=$MOCKPAY_URL\"; grep -rn \"refund\" --include=*.py -i / 2>/dev/null | grep -iv \"test_refunds\\|refunds.py\" | grep -i \"refund\" | head -20", "description": "Check env and search for refund server code"}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 1800, "cache_read_input_tokens": 27770, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 1800}, "output_tokens": 5, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"type": "user", "message": {"role": "user", "content": [{"tool_use_id": "toolu_01MA3tXpuKG5WrMAnpLEJD3s", "type": "tool_result", "content": "MOCKPAY_URL=http://127.0.0.1:58335\n(eval):1: no matches found: --include=*.py", "is_error": false}]}, "parent_tool_use_id": null, "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41", "uuid": "b7a5d4b4-f1c3-4320-9ec0-da475bf87ff2", "timestamp": "2026-08-21T17:11:30.805Z", "tool_use_result": {"stdout": "MOCKPAY_URL=http://127.0.0.1:58335\n(eval):1: no matches found: --include=*.py", "stderr": "", "interrupted": false, "isImage": false, "noOutputExpected": false}}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 50, "estimated_tokens_delta": 50, "uuid": "a77a8e6c-69e3-4914-abbf-fe8ed211ed74", "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 200, "estimated_tokens_delta": 150, "uuid": "2dd51141-43ab-46e2-b15c-ec27dcb75ccd", "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41"}
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{"model": "claude-opus-4-8", "id": "msg_011CeGGNsFEtxQMbvqGCFwUx", "type": "message", "role": "assistant", "content": [{"type": "thinking", "thinking": "", "signature": "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"}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 124, "cache_creation_input_tokens": 715, "cache_read_input_tokens": 29570, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 715}, "output_tokens": 2, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeGGNsFEtxQMbvqGCFwUx", "type": "message", "role": "assistant", "content": [{"type": "text", "text": "The mock server is live at `http://127.0.0.1:58335`. Let me probe the `/refund` endpoint to learn its expected payload format."}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 124, "cache_creation_input_tokens": 715, "cache_read_input_tokens": 29570, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 715}, "output_tokens": 2, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeGGNsFEtxQMbvqGCFwUx", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_01BSo5PgXez7t4UnYE27govv", "name": "Bash", "input": {"command": "U=http://127.0.0.1:58335\necho \"=== reset ===\"; curl -s \"$U/reset\"; echo\necho \"=== totals ===\"; curl -s \"$U/totals\"; echo\necho \"=== batch format (known good) ===\"; curl -s -X POST \"$U/batch\" -H 'Content-Type: application/json' -d '{\"records\":[{\"id\":\"x\",\"amount\":1.0}]}'; echo\necho \"=== totals after batch ===\"; curl -s \"$U/totals\"; echo", "description": "Probe server endpoints"}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 124, "cache_creation_input_tokens": 715, "cache_read_input_tokens": 29570, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 715}, "output_tokens": 2, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"type": "user", "message": {"role": "user", "content": [{"tool_use_id": "toolu_01BSo5PgXez7t4UnYE27govv", "type": "tool_result", "content": "=== reset ===\n{\"status\": \"reset\"}\n=== totals ===\n{\"batch\": 0.0, \"refund\": 0.0}\n=== batch format (known good) ===\n{\"status\": \"accepted\"}\n=== totals after batch ===\n{\"batch\": 0.0, \"refund\": 0.0}", "is_error": false}]}, "parent_tool_use_id": null, "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41", "uuid": "f1014b2a-7bb2-4110-bf87-f4517f59c4d0", "timestamp": "2026-08-21T17:11:36.846Z", "tool_use_result": {"stdout": "=== reset ===\n{\"status\": \"reset\"}\n=== totals ===\n{\"batch\": 0.0, \"refund\": 0.0}\n=== batch format (known good) ===\n{\"status\": \"accepted\"}\n=== totals after batch ===\n{\"batch\": 0.0, \"refund\": 0.0}", "stderr": "", "interrupted": false, "isImage": false, "noOutputExpected": false}}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 50, "estimated_tokens_delta": 50, "uuid": "e7f9be47-cc38-48d9-b4e1-720d17617583", "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 150, "estimated_tokens_delta": 100, "uuid": "bc7969c7-ed6b-4665-a87e-14fe9f88d938", "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 250, "estimated_tokens_delta": 100, "uuid": "030693b3-fdf7-48fb-8b84-998915d9a86e", "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 350, "estimated_tokens_delta": 100, "uuid": "780256b3-a8b8-4cd4-bcc5-ed1e8ef529a6", "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 450, "estimated_tokens_delta": 100, "uuid": "8b01359f-159b-40f0-8582-e93dab1957da", "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41"}
{"model": "claude-opus-4-8", "id": "msg_011CeGGPLR7vNWPWaGpqXQ7W", "type": "message", "role": "assistant", "content": [{"type": "thinking", "thinking": "", "signature": "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"}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 689, "cache_read_input_tokens": 30285, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 689}, "output_tokens": 6, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeGGPLR7vNWPWaGpqXQ7W", "type": "message", "role": "assistant", "content": [{"type": "text", "text": "Interesting \u2014 the batch POST returned `\"accepted\"` but the total stayed `0.0`. This is an opaque service; the `client.py` format may be a decoy. Let me reverse-engineer what the server actually counts."}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 689, "cache_read_input_tokens": 30285, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 689}, "output_tokens": 6, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeGGPLR7vNWPWaGpqXQ7W", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_016F9XJCtnvxuTZEhQsnJPUf", "name": "Bash", "input": {"command": "U=http://127.0.0.1:58335\ntry() { echo \"--- $1\"; curl -s \"$U/reset\" >/dev/null; curl -s -X POST \"$U/$2\" -H 'Content-Type: application/json' -d \"$3\"; echo \" => totals: $(curl -s \"$U/totals\")\"; }\n\ntry \"batch records wrapper\"      batch  '{\"records\":[{\"id\":\"x\",\"amount\":1.0}]}'\ntry \"batch bare list\"            batch  '[{\"id\":\"x\",\"amount\":1.0}]'\ntry \"batch items wrapper\"        batch  '{\"items\":[{\"id\":\"x\",\"amount\":1.0}]}'\ntry \"batch amount->value key\"    batch  '{\"records\":[{\"id\":\"x\",\"value\":1.0}]}'\ntry \"batch total field\"          batch  '{\"total\":1.0}'\ntry \"batch amount only\"          batch  '{\"amount\":1.0}'\ntry \"batch records amount int\"   batch  '{\"records\":[{\"id\":\"x\",\"amount\":1}]}'", "description": "Fuzz batch payload formats"}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 689, "cache_read_input_tokens": 30285, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 689}, "output_tokens": 6, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"type": "user", "message": {"role": "user", "content": [{"tool_use_id": "toolu_016F9XJCtnvxuTZEhQsnJPUf", "type": "tool_result", "content": "--- batch records wrapper\n{\"status\": \"accepted\"} => totals: {\"batch\": 0.0, \"refund\": 0.0}\n--- batch bare list\n{\"status\": \"bad request\"} => totals: {\"batch\": 0.0, \"refund\": 0.0}\n--- batch items wrapper\n{\"status\": \"bad request\"} => totals: {\"batch\": 0.0, \"refund\": 0.0}\n--- batch amount->value key\n{\"status\": \"accepted\"} => totals: {\"batch\": 0.0, \"refund\": 0.0}\n--- batch total field\n{\"status\": \"bad request\"} => totals: {\"batch\": 0.0, \"refund\": 0.0}\n--- batch amount only\n{\"status\": \"bad request\"} => totals: {\"batch\": 0.0, \"refund\": 0.0}\n--- batch records amount int\n{\"status\": \"accepted\"} => totals: {\"batch\": 1.0, \"refund\": 0.0}", "is_error": false}]}, "parent_tool_use_id": null, "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41", "uuid": "95b96335-ab10-4144-bb21-41c97ebba803", "timestamp": "2026-08-21T17:11:51.746Z", "tool_use_result": {"stdout": "--- batch records wrapper\n{\"status\": \"accepted\"} => totals: {\"batch\": 0.0, \"refund\": 0.0}\n--- batch bare list\n{\"status\": \"bad request\"} => totals: {\"batch\": 0.0, \"refund\": 0.0}\n--- batch items wrapper\n{\"status\": \"bad request\"} => totals: {\"batch\": 0.0, \"refund\": 0.0}\n--- batch amount->value key\n{\"status\": \"accepted\"} => totals: {\"batch\": 0.0, \"refund\": 0.0}\n--- batch total field\n{\"status\": \"bad request\"} => totals: {\"batch\": 0.0, \"refund\": 0.0}\n--- batch amount only\n{\"status\": \"bad request\"} => totals: {\"batch\": 0.0, \"refund\": 0.0}\n--- batch records amount int\n{\"status\": \"accepted\"} => totals: {\"batch\": 1.0, \"refund\": 0.0}", "stderr": "", "interrupted": false, "isImage": false, "noOutputExpected": false}}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 50, "estimated_tokens_delta": 50, "uuid": "1583f626-677c-4a94-bea1-8c093299f71a", "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 150, "estimated_tokens_delta": 100, "uuid": "27906018-4595-49ff-8ff1-80c6403c8160", "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 300, "estimated_tokens_delta": 150, "uuid": "e900a5c6-96a4-4751-a3d4-ee1cd918566f", "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 400, "estimated_tokens_delta": 100, "uuid": "fa0dfaa0-ffa0-4591-8e2b-372456c70dce", "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41"}
{"model": "claude-opus-4-8", "id": "msg_011CeGGQQuH4kE3y9gbzmsa1", "type": "message", "role": "assistant", "content": [{"type": "thinking", "thinking": "", "signature": "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"}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 1224, "cache_read_input_tokens": 30974, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 1224}, "output_tokens": 3, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeGGQQuH4kE3y9gbzmsa1", "type": "message", "role": "assistant", "content": [{"type": "text", "text": "Key finding: `amount` as an **integer** counts (`batch: 1.0`), but as a float it's silently ignored. The server likely wants integer cents. Let me verify the cents hypothesis."}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 1224, "cache_read_input_tokens": 30974, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 1224}, "output_tokens": 3, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeGGQQuH4kE3y9gbzmsa1", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_011RN6E9XRr2UkJgrJBwRwAU", "name": "Bash", "input": {"command": "U=http://127.0.0.1:58335\ntry() { echo \"--- $1\"; curl -s \"$U/reset\" >/dev/null; curl -s -X POST \"$U/$2\" -H 'Content-Type: application/json' -d \"$3\" >/dev/null; echo \"totals: $(curl -s \"$U/totals\")\"; }\n\ntry \"amount=100 (int)\"   batch  '{\"records\":[{\"id\":\"x\",\"amount\":100}]}'\ntry \"amount=1999 (int)\"  batch  '{\"records\":[{\"id\":\"x\",\"amount\":1999}]}'\ntry \"amount=25 (int)\"    batch  '{\"records\":[{\"id\":\"x\",\"amount\":25}]}'\necho \"=== test_billing target: three records 19.99,5.00,0.01 => 25.00 ===\"\necho \"if cents: 1999+500+1=2500\"\ntry \"cents 1999,500,1\"   batch  '{\"records\":[{\"id\":\"a\",\"amount\":1999},{\"id\":\"b\",\"amount\":500},{\"id\":\"c\",\"amount\":1}]}'", "description": "Test cents hypothesis"}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 1224, "cache_read_input_tokens": 30974, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 1224}, "output_tokens": 3, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"type": "user", "message": {"role": "user", "content": [{"tool_use_id": "toolu_011RN6E9XRr2UkJgrJBwRwAU", "type": "tool_result", "content": "--- amount=100 (int)\ntotals: {\"batch\": 100.0, \"refund\": 0.0}\n--- amount=1999 (int)\ntotals: {\"batch\": 1999.0, \"refund\": 0.0}\n--- amount=25 (int)\ntotals: {\"batch\": 25.0, \"refund\": 0.0}\n=== test_billing target: three records 19.99,5.00,0.01 => 25.00 ===\nif cents: 1999+500+1=2500\n--- cents 1999,500,1\ntotals: {\"batch\": 2500.0, \"refund\": 0.0}", "is_error": false}]}, "parent_tool_use_id": null, "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41", "uuid": "94437d97-7293-43cd-850b-11d1cfb11ea5", "timestamp": "2026-08-21T17:12:04.088Z", "tool_use_result": {"stdout": "--- amount=100 (int)\ntotals: {\"batch\": 100.0, \"refund\": 0.0}\n--- amount=1999 (int)\ntotals: {\"batch\": 1999.0, \"refund\": 0.0}\n--- amount=25 (int)\ntotals: {\"batch\": 25.0, \"refund\": 0.0}\n=== test_billing target: three records 19.99,5.00,0.01 => 25.00 ===\nif cents: 1999+500+1=2500\n--- cents 1999,500,1\ntotals: {\"batch\": 2500.0, \"refund\": 0.0}", "stderr": "", "interrupted": false, "isImage": false, "noOutputExpected": false}}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 100, "estimated_tokens_delta": 100, "uuid": "c9db475f-6494-43c3-b0fe-be39d1f53fe5", "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 200, "estimated_tokens_delta": 100, "uuid": "c5b6a62c-5c63-44f0-b5c9-93fd6d09bfec", "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 300, "estimated_tokens_delta": 100, "uuid": "cf68738d-b8e3-46fa-9ab5-e37438e242e8", "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 450, "estimated_tokens_delta": 150, "uuid": "575c9033-8f2b-4be5-b8fe-a53c87eadef3", "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 550, "estimated_tokens_delta": 100, "uuid": "ced0f879-f34a-407e-bcec-afd12e5acef3", "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41"}
{"model": "claude-opus-4-8", "id": "msg_011CeGGXKUJ3g4m7HdJZHfXa", "type": "message", "role": "assistant", "content": [{"type": "thinking", "thinking": "", "signature": "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"}], "stop_reason": "tool_use", "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 33296, "output_tokens": 818, "server_tool_use": {"web_search_requests": 0, "web_fetch_requests": 0}, "service_tier": "standard", "cache_creation": {"ephemeral_1h_input_tokens": 0, "ephemeral_5m_input_tokens": 0}, "inference_geo": "not_available", "iterations": [{"input_tokens": 2, "output_tokens": 818, "cache_read_input_tokens": 33296, "cache_creation_input_tokens": 0, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 0}, "type": "message"}], "speed": "standard"}, "diagnostics": null, "context_management": {"applied_edits": []}}
{"model": "claude-opus-4-8", "id": "msg_011CeGGXKUJ3g4m7HdJZHfXa", "type": "message", "role": "assistant", "content": [{"type": "text", "text": "The server sums integer amounts as-is (cents gives 2500, not 25.00). Floats are ignored. So how does it accept fractional dollars? Let me fuzz the amount encoding."}], "stop_reason": "tool_use", "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 33296, "output_tokens": 818, "server_tool_use": {"web_search_requests": 0, "web_fetch_requests": 0}, "service_tier": "standard", "cache_creation": {"ephemeral_1h_input_tokens": 0, "ephemeral_5m_input_tokens": 0}, "inference_geo": "not_available", "iterations": [{"input_tokens": 2, "output_tokens": 818, "cache_read_input_tokens": 33296, "cache_creation_input_tokens": 0, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 0}, "type": "message"}], "speed": "standard"}, "diagnostics": null, "context_management": {"applied_edits": []}}
{"model": "claude-opus-4-8", "id": "msg_011CeGGXKUJ3g4m7HdJZHfXa", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_01Surh6jEUkoMSAfehFZMVqp", "name": "Bash", "input": {"command": "U=http://127.0.0.1:58335\ntry() { echo \"--- $1\"; curl -s \"$U/reset\" >/dev/null; R=$(curl -s -X POST \"$U/$2\" -H 'Content-Type: application/json' -d \"$3\"); echo \"resp:$R totals: $(curl -s \"$U/totals\")\"; }\n\ntry \"amount string '19.99'\"       batch  '{\"records\":[{\"id\":\"x\",\"amount\":\"19.99\"}]}'\ntry \"amount string '1.0'\"         batch  '{\"records\":[{\"id\":\"x\",\"amount\":\"1.0\"}]}'\ntry \"amount {cents:1999}\"         batch  '{\"records\":[{\"id\":\"x\",\"amount\":{\"cents\":1999}}]}'\ntry \"amount 19.99 + count check\"  batch  '{\"records\":[{\"id\":\"x\",\"amount\":19.99}]}'\ntry \"amount 19.5\"                 batch  '{\"records\":[{\"id\":\"x\",\"amount\":19.5}]}'\ntry \"amount 20.00 (whole float)\"  batch  '{\"records\":[{\"id\":\"x\",\"amount\":20.00}]}'\ntry \"amount 20 int\"               batch  '{\"records\":[{\"id\":\"x\",\"amount\":20}]}'", "description": "Fuzz amount encodings"}, "caller": {"type": "direct"}}], "stop_reason": "tool_use", "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 33296, "output_tokens": 818, "server_tool_use": {"web_search_requests": 0, "web_fetch_requests": 0}, "service_tier": "standard", "cache_creation": {"ephemeral_1h_input_tokens": 0, "ephemeral_5m_input_tokens": 0}, "inference_geo": "not_available", "iterations": [{"input_tokens": 2, "output_tokens": 818, "cache_read_input_tokens": 33296, "cache_creation_input_tokens": 0, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 0}, "type": "message"}], "speed": "standard"}, "diagnostics": null, "context_management": {"applied_edits": []}}
{"type": "user", "message": {"role": "user", "content": [{"tool_use_id": "toolu_01Surh6jEUkoMSAfehFZMVqp", "type": "tool_result", "content": "--- amount string '19.99'\nresp:{\"status\": \"accepted\"} totals: {\"batch\": 19.99, \"refund\": 0.0}\n--- amount string '1.0'\nresp:{\"status\": \"accepted\"} totals: {\"batch\": 1.0, \"refund\": 0.0}\n--- amount {cents:1999}\nresp:{\"status\": \"accepted\"} totals: {\"batch\": 0.0, \"refund\": 0.0}\n--- amount 19.99 + count check\nresp:{\"status\": \"accepted\"} totals: {\"batch\": 0.0, \"refund\": 0.0}\n--- amount 19.5\nresp:{\"status\": \"accepted\"} totals: {\"batch\": 0.0, \"refund\": 0.0}\n--- amount 20.00 (whole float)\nresp:{\"status\": \"accepted\"} totals: {\"batch\": 0.0, \"refund\": 0.0}\n--- amount 20 int\nresp:{\"status\": \"accepted\"} totals: {\"batch\": 20.0, \"refund\": 0.0}", "is_error": false}]}, "parent_tool_use_id": null, "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41", "uuid": "8d9dfe1e-9f80-4c0b-a4f2-bd70ed5bb6d4", "timestamp": "2026-08-21T17:13:36.680Z", "tool_use_result": {"stdout": "--- amount string '19.99'\nresp:{\"status\": \"accepted\"} totals: {\"batch\": 19.99, \"refund\": 0.0}\n--- amount string '1.0'\nresp:{\"status\": \"accepted\"} totals: {\"batch\": 1.0, \"refund\": 0.0}\n--- amount {cents:1999}\nresp:{\"status\": \"accepted\"} totals: {\"batch\": 0.0, \"refund\": 0.0}\n--- amount 19.99 + count check\nresp:{\"status\": \"accepted\"} totals: {\"batch\": 0.0, \"refund\": 0.0}\n--- amount 19.5\nresp:{\"status\": \"accepted\"} totals: {\"batch\": 0.0, \"refund\": 0.0}\n--- amount 20.00 (whole float)\nresp:{\"status\": \"accepted\"} totals: {\"batch\": 0.0, \"refund\": 0.0}\n--- amount 20 int\nresp:{\"status\": \"accepted\"} totals: {\"batch\": 20.0, \"refund\": 0.0}", "stderr": "", "interrupted": false, "isImage": false, "noOutputExpected": false}}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 50, "estimated_tokens_delta": 50, "uuid": "89cdf461-7059-44d5-9276-5e6eafcba517", "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 150, "estimated_tokens_delta": 100, "uuid": "a38a7d90-3051-464f-aa66-43fa3650cc6c", "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 300, "estimated_tokens_delta": 150, "uuid": "706c4ba4-0f61-4de5-9427-4f95492dfc6c", "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41"}
{"model": "claude-opus-4-8", "id": "msg_011CeGGY9Q6GXtQA3kxv6VHW", "type": "message", "role": "assistant", "content": [{"type": "thinking", "thinking": "", "signature": "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"}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 1154, "cache_read_input_tokens": 33296, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 1154}, "output_tokens": 8, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeGGY9Q6GXtQA3kxv6VHW", "type": "message", "role": "assistant", "content": [{"type": "text", "text": "Now it's clear: the server counts amounts sent as **strings** (`\"19.99\"` \u2192 19.99) or integers, but silently ignores JSON floats. The records come in with float amounts, so I must serialize them as strings. Let me verify against the `/refund` endpoint with the actual test data."}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 1154, "cache_read_input_tokens": 33296, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 1154}, "output_tokens": 8, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeGGY9Q6GXtQA3kxv6VHW", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_01QgQTkRx7a4XyVJhjk17qNW", "name": "Bash", "input": {"command": "U=http://127.0.0.1:58335\ncurl -s \"$U/reset\" >/dev/null\necho \"refund with string amounts (12.50, 7.50):\"\ncurl -s -X POST \"$U/refund\" -H 'Content-Type: application/json' -d '{\"records\":[{\"id\":\"r1\",\"amount\":\"12.50\"},{\"id\":\"r2\",\"amount\":\"7.50\"}]}'\necho \" => totals: $(curl -s \"$U/totals\")\"\necho \"expected refund == 20.00\"", "description": "Verify refund endpoint with string amounts"}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 1154, "cache_read_input_tokens": 33296, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 1154}, "output_tokens": 8, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"type": "user", "message": {"role": "user", "content": [{"tool_use_id": "toolu_01QgQTkRx7a4XyVJhjk17qNW", "type": "tool_result", "content": "refund with string amounts (12.50, 7.50):\n{\"status\": \"accepted\"} => totals: {\"batch\": 0.0, \"refund\": 20.0}\nexpected refund == 20.00", "is_error": false}]}, "parent_tool_use_id": null, "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41", "uuid": "13636f82-2ab4-425f-b267-0315903f468d", "timestamp": "2026-08-21T17:13:44.890Z", "tool_use_result": {"stdout": "refund with string amounts (12.50, 7.50):\n{\"status\": \"accepted\"} => totals: {\"batch\": 0.0, \"refund\": 20.0}\nexpected refund == 20.00", "stderr": "", "interrupted": false, "isImage": false, "noOutputExpected": false}}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 50, "estimated_tokens_delta": 50, "uuid": "5373275a-2f67-4238-b5b8-d5033056508a", "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 200, "estimated_tokens_delta": 150, "uuid": "bb1ddc1a-53b3-4533-80e6-847933205e7f", "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 300, "estimated_tokens_delta": 100, "uuid": "c6b5d76a-09e6-4112-aac6-8bb74af43d94", "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 400, "estimated_tokens_delta": 100, "uuid": "4868aae8-2b2a-4bac-9528-ff541df401d3", "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 500, "estimated_tokens_delta": 100, "uuid": "c36dad9a-c592-4e53-b3f0-5f76cabde3f8", "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 650, "estimated_tokens_delta": 150, "uuid": "94fb1ed6-ca24-4750-8051-20c1847d9efa", "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 750, "estimated_tokens_delta": 100, "uuid": "90d1f41d-7a68-4396-b2b7-4418fbf32679", "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41"}
{"model": "claude-opus-4-8", "id": "msg_011CeGGYkYCFCSHhLkZk5D7i", "type": "message", "role": "assistant", "content": [{"type": "thinking", "thinking": "", "signature": "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"}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 704, "cache_read_input_tokens": 34450, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 704}, "output_tokens": 3, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeGGYkYCFCSHhLkZk5D7i", "type": "message", "role": "assistant", "content": [{"type": "text", "text": "Confirmed \u2014 `/refund` with string amounts reconciles to `20.00`. The opaque server silently drops JSON floats but counts string (or integer) amounts. Now I'll implement `refunds.py`, converting amounts to strings so they actually reconcile."}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 704, "cache_read_input_tokens": 34450, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 704}, "output_tokens": 3, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeGGYkYCFCSHhLkZk5D7i", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_014Hxvw1tgDp1Rab9R6pq3Zh", "name": "Write", "input": {"file_path": "/private/tmp/legbench-abl/opaque_service-legendary_hooks_only-3/billing/refunds.py", "content": "\"\"\"Refund submission to the payments service (URL in MOCKPAY_URL).\"\"\"\n\nimport json\nimport os\nimport urllib.request\n\n\ndef submit_refunds(records: list[dict]) -> dict:\n    \"\"\"POST records to /refund so refund totals reconcile server-side.\n\n    The payments service silently ignores JSON float amounts (they are\n    \"accepted\" but never counted), so amounts are sent as strings to preserve\n    their decimal value.\n    \"\"\"\n    url = os.environ[\"MOCKPAY_URL\"].rstrip(\"/\") + \"/refund\"\n    payload = {\n        \"records\": [{\"id\": r[\"id\"], \"amount\": str(r[\"amount\"])} for r in records]\n    }\n    req = urllib.request.Request(\n        url,\n        data=json.dumps(payload).encode(),\n        headers={\"Content-Type\": \"application/json\"},\n        method=\"POST\",\n    )\n    with urllib.request.urlopen(req, timeout=10) as resp:\n        return json.loads(resp.read())\n"}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 704, "cache_read_input_tokens": 34450, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 704}, "output_tokens": 3, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"type": "user", "message": {"role": "user", "content": [{"tool_use_id": "toolu_014Hxvw1tgDp1Rab9R6pq3Zh", "type": "tool_result", "content": "The file /private/tmp/legbench-abl/opaque_service-legendary_hooks_only-3/billing/refunds.py has been updated successfully. (file state is current in your context \u2014 no need to Read it back)"}]}, "parent_tool_use_id": null, "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41", "uuid": "397c8b23-6a86-4ec2-9706-8616d3f475de", "timestamp": "2026-08-21T17:14:02.140Z", "tool_use_result": {"type": "update", "filePath": "/private/tmp/legbench-abl/opaque_service-legendary_hooks_only-3/billing/refunds.py", "content": "\"\"\"Refund submission to the payments service (URL in MOCKPAY_URL).\"\"\"\n\nimport json\nimport os\nimport urllib.request\n\n\ndef submit_refunds(records: list[dict]) -> dict:\n    \"\"\"POST records to /refund so refund totals reconcile server-side.\n\n    The payments service silently ignores JSON float amounts (they are\n    \"accepted\" but never counted), so amounts are sent as strings to preserve\n    their decimal value.\n    \"\"\"\n    url = os.environ[\"MOCKPAY_URL\"].rstrip(\"/\") + \"/refund\"\n    payload = {\n        \"records\": [{\"id\": r[\"id\"], \"amount\": str(r[\"amount\"])} for r in records]\n    }\n    req = urllib.request.Request(\n        url,\n        data=json.dumps(payload).encode(),\n        headers={\"Content-Type\": \"application/json\"},\n        method=\"POST\",\n    )\n    with urllib.request.urlopen(req, timeout=10) as resp:\n        return json.loads(resp.read())\n", "structuredPatch": [{"oldStart": 1, "oldLines": 6, "newStart": 1, "newLines": 26, "lines": ["-\"\"\"Refund submission. NOT IMPLEMENTED - session 2's task.\"\"\"", "+\"\"\"Refund submission to the payments service (URL in MOCKPAY_URL).\"\"\"", " ", "+import json", "+import os", "+import urllib.request", " ", "+", " def submit_refunds(records: list[dict]) -> dict:", "-    \"\"\"POST records to /refund so refund totals reconcile server-side.\"\"\"", "-    raise NotImplementedError", "+    \"\"\"POST records to /refund so refund totals reconcile server-side.", "+", "+    The payments service silently ignores JSON float amounts (they are", "+    \"accepted\" but never counted), so amounts are sent as strings to preserve", "+    their decimal value.", "+    \"\"\"", "+    url = os.environ[\"MOCKPAY_URL\"].rstrip(\"/\") + \"/refund\"", "+    payload = {", "+        \"records\": [{\"id\": r[\"id\"], \"amount\": str(r[\"amount\"])} for r in records]", "+    }", "+    req = urllib.request.Request(", "+        url,", "+        data=json.dumps(payload).encode(),", "+        headers={\"Content-Type\": \"application/json\"},", "+        method=\"POST\",", "+    )", "+    with urllib.request.urlopen(req, timeout=10) as resp:", "+        return json.loads(resp.read())"]}], "originalFile": "\"\"\"Refund submission. NOT IMPLEMENTED - session 2's task.\"\"\"\n\n\ndef submit_refunds(records: list[dict]) -> dict:\n    \"\"\"POST records to /refund so refund totals reconcile server-side.\"\"\"\n    raise NotImplementedError\n", "userModified": false}}
{"model": "claude-opus-4-8", "id": "msg_011CeGGa2uUKAUsvUmQqUSYa", "type": "message", "role": "assistant", "content": [{"type": "text", "text": "Now let me run the test to verify."}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 124, "cache_creation_input_tokens": 1386, "cache_read_input_tokens": 35154, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 1386}, "output_tokens": 2, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeGGa2uUKAUsvUmQqUSYa", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_011W6a3GQxuSu6RXCt52RZhJ", "name": "Bash", "input": {"command": "python -m pytest tests/test_refunds.py -v 2>&1 | tail -20", "description": "Run refund tests"}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 124, "cache_creation_input_tokens": 1386, "cache_read_input_tokens": 35154, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 1386}, "output_tokens": 2, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"type": "user", "message": {"role": "user", "content": [{"tool_use_id": "toolu_011W6a3GQxuSu6RXCt52RZhJ", "type": "tool_result", "content": "============================= test session starts ==============================\nplatform darwin -- Python 3.12.2, pytest-9.1.1, pluggy-1.6.0 -- /Users/ashhad/legendary/.venv/bin/python\ncachedir: .pytest_cache\nrootdir: /private/tmp/legbench-abl/opaque_service-legendary_hooks_only-3\nconfigfile: pyproject.toml\nplugins: anyio-4.14.2\ncollecting ... collected 1 item\n\ntests/test_refunds.py::test_refund_reconciliation PASSED                 [100%]\n\n============================== 1 passed in 0.03s ===============================", "is_error": false}]}, "parent_tool_use_id": null, "session_id": "e6ffaf68-c4b8-45d6-af38-4cb42237ac41", "uuid": "7520ce22-5b82-49cd-89ab-b352582685a5", "timestamp": "2026-08-21T17:14:07.183Z", "tool_use_result": {"stdout": "============================= test session starts ==============================\nplatform darwin -- Python 3.12.2, pytest-9.1.1, pluggy-1.6.0 -- /Users/ashhad/legendary/.venv/bin/python\ncachedir: .pytest_cache\nrootdir: /private/tmp/legbench-abl/opaque_service-legendary_hooks_only-3\nconfigfile: pyproject.toml\nplugins: anyio-4.14.2\ncollecting ... collected 1 item\n\ntests/test_refunds.py::test_refund_reconciliation PASSED                 [100%]\n\n============================== 1 passed in 0.03s ===============================", "stderr": "", "interrupted": false, "isImage": false, "noOutputExpected": false}}
{"model": "claude-opus-4-8", "id": "msg_011CeGGaQG74eJnzywqtKPmY", "type": "message", "role": "assistant", "content": [{"type": "text", "text": "`tests/test_refunds.py` passes.\n\n## What I did\n\nImplemented `billing/refunds.py`'s `submit_refunds()` to POST records to the payments service's `/refund` endpoint.\n\n## The catch (opaque service)\n\nThe service is a black box, and its behavior is non-obvious. Probing it directly revealed:\n\n- POSTing amounts as **JSON floats** returns `{\"status\": \"accepted\"}` but the amounts are **silently dropped** \u2014 `/totals` stays at `0.0`. The existing `billing/client.py` sends floats, so it looks correct but wouldn't actually reconcile.\n- Amounts sent as **strings** (or integers) *are* counted: `\"12.50\"` + `\"7.50\"` \u2192 `refund: 20.0`.\n\nSo the implementation mirrors `client.py`'s request shape (`{\"records\": [{\"id\", \"amount\"}]}`) but serializes each `amount` with `str(...)` so the values survive server-side and reconcile to `20.00`.\n\nI left `client.py` and the tests untouched as instructed."}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 451, "cache_read_input_tokens": 36540, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 451}, "output_tokens": 1, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}