{"model": "claude-opus-4-8", "id": "msg_011CeG1CwYBRTDFuG5zuoiUk", "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": 7577, "cache_creation_input_tokens": 2797, "cache_read_input_tokens": 16283, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 2797}, "output_tokens": 7, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeG1CwYBRTDFuG5zuoiUk", "type": "message", "role": "assistant", "content": [{"type": "text", "text": "I'll start with the systematic-debugging skill since this is a test failure."}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 7577, "cache_creation_input_tokens": 2797, "cache_read_input_tokens": 16283, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 2797}, "output_tokens": 7, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeG1CwYBRTDFuG5zuoiUk", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_017XbiiDJwgZRFBuecRhyw7J", "name": "Skill", "input": {"skill": "superpowers:systematic-debugging"}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 7577, "cache_creation_input_tokens": 2797, "cache_read_input_tokens": 16283, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 2797}, "output_tokens": 7, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeG1DAVnsRVHuRBGigFFG", "type": "message", "role": "assistant", "content": [{"type": "text", "text": "I'll start Phase 1: Root Cause Investigation. Let me read the test and the source."}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 11537, "cache_read_input_tokens": 19080, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 11537}, "output_tokens": 1, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeG1DAVnsRVHuRBGigFFG", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_01LvCKfK9P1UPdLQr7wQQgy4", "name": "Read", "input": {"file_path": "/private/tmp/legbench-v3/reverted_approach-legendary-3/tests/test_warm.py"}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 11537, "cache_read_input_tokens": 19080, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 11537}, "output_tokens": 1, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeG1DNw9e6incxkNebBuV", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_01MAzhqDZNxo6P5tUYWmiksL", "name": "Read", "input": {"file_path": "/private/tmp/legbench-v3/reverted_approach-legendary-3/cache/warm.py"}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 264, "cache_creation_input_tokens": 331, "cache_read_input_tokens": 30617, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 331}, "output_tokens": 20, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeG1DXGhgFUWnhvAF4zeC", "type": "message", "role": "assistant", "content": [{"type": "thinking", "thinking": "", "signature": "ErkCCqUBCBEYAipA1mRXlQeivV0EzILgMyCMAy6AdeJkgLeile4bcfd86yIPIAztyKiZb4rzGOqD4+QvYv3SaB+H9hwmnbsBj32L9zIPY2xhdWRlLW9wdXMtNC04OABCCHRoaW5raW5nWiQxNTZiMzBhNC0xZjM5LTQxZDYtYTdiNi1hODk3MGFiYTA0NDNyEI/kapMdh/kleng4jEEt+VKIAQGoAauwodQGEgwO7D95vfh8Rsazb/waDPzLG65czmyMxGaZXSIwUhR9K18ZW2UNIDVVBCz0i2l7iSFUgoaMp+w6kZYdhKo/g6tOwWgauDed8UPcz7KDKkFoctJIcB1kRvlpQNV2XcMrWq8a5voUBjanUy8MHLgA5xaNonPjuvwvP2d06qjoUp2y/+0/ncwwq55RKyssTj8JWxgB"}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 649, "cache_read_input_tokens": 30948, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 649}, "output_tokens": 8, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeG1DXGhgFUWnhvAF4zeC", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_01YGU5seivFoUAtNtaWFJMYp", "name": "Read", "input": {"file_path": "/private/tmp/legbench-v3/reverted_approach-legendary-3/cache/limits.py"}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 649, "cache_read_input_tokens": 30948, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 649}, "output_tokens": 8, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeG1DXGhgFUWnhvAF4zeC", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_01KNTMJkyb2eegVhnML51n2Z", "name": "ToolSearch", "input": {"query": "select:mcp__legendary__recall", "max_results": 3}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 649, "cache_read_input_tokens": 30948, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 649}, "output_tokens": 8, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeG1DmLYCtPWgnAiu3Ln1", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_01LgT7PpBtwfKpajt4UJ9dHP", "name": "mcp__legendary__recall", "input": {"query": "warm_cache concurrency deadline", "files_in_focus": ["cache/warm.py", "cache/limits.py"]}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 15884, "cache_read_input_tokens": 16376, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 15884}, "output_tokens": 25, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": {"cache_miss_reason": {"type": "tools_changed", "cache_missed_input_tokens": 29172}}, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeG1Dv4uYWR3Q87TZNKvG", "type": "message", "role": "assistant", "content": [{"type": "thinking", "thinking": "", "signature": "EpsFCqUBCBEYAipA2jjcSw9ZLQ92+AMKQoglel4lSdUhYRtfpahn+AY/jUmqIOkmCPEfw6awfUgygMhVxs8oqpZf4S9Zow4iVBFLQzIPY2xhdWRlLW9wdXMtNC04OABCCHRoaW5raW5nWiQxNTZiMzBhNC0xZjM5LTQxZDYtYTdiNi1hODk3MGFiYTA0NDNyEI/kapMdh/kleng4jEEt+VKIAQGoAbOwodQGEgx1ukd6oQLk43bJyI4aDFmIy1Arx+OT2Npa+SIwhz4JYDBjjquYtarjdJzzbxcDhclci0I8lyERMDNMkwNWxZgYQrNn3Skbv2/uR4R6KqIDRnk+of0hNMpL1aQjy0FisWGpjKrfiGvUXIpud9mmYiAqdf6JqwDIJZn42s4i+GaAj4wvb0wN0DtPvVNjVyt0SggGous/0rWtRm4FV0qGcYEEC3yvyrOz1pOYUBXqdCtt5tegwvXJ4g3zxwERB2ho2Fi36zVk5SCJWgmjFaJ/pz3f9PAkGfq0Jg6DXGqj5LOlhIf0CC2DLTixFJxnotaSk6t0lFdesmWsbKTphTRDl1fi0owDBs+Bbd/q34ZmdjRFFxDTdedT+mM/fXbhWUHkQyOjArQs+MwITOXrNfsKbGZo/1bybftsoxeAhKt4EmBdhBM41VMxWQ9nuG07kA93upUBi4Ed5rKDMpnVEqJXcKKkRtOnxVEqKhUNcs20TnxKr5G1Ckx+Z7mGLLTpst6bT3WuPIrniR4MWk/crLpBHjZxG8NHRmDk+xB+SNFqvBQkXzR1m+YgokoQ+3p2QOm8xpAq+J/+ckzfnSO3S/E+jABXTd8c4sZuYLKcv0PW4hJBBnNuv46JPpyMHqJpih6UAXeVgM9QnFxp+mtG1I5kSNgtnhgB"}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 123, "cache_read_input_tokens": 32260, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 123}, "output_tokens": 2, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeG1Dv4uYWR3Q87TZNKvG", "type": "message", "role": "assistant", "content": [{"type": "text", "text": "Let me reproduce the failure first."}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 123, "cache_read_input_tokens": 32260, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 123}, "output_tokens": 2, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeG1Dv4uYWR3Q87TZNKvG", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_01SBEocNdeQ9ynrik5osJYFG", "name": "Bash", "input": {"command": "python -m pytest tests/test_warm.py -q 2>&1 | tail -20"}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 123, "cache_read_input_tokens": 32260, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 123}, "output_tokens": 2, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeG1EMmEaBS5nVgTEWHaK", "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": 616, "cache_read_input_tokens": 32383, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 616}, "output_tokens": 3, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeG1EMmEaBS5nVgTEWHaK", "type": "message", "role": "assistant", "content": [{"type": "text", "text": "Root cause confirmed: `warm_cache` fetches serially \u2014 40 keys \u00d7 0.01s \u2248 0.4s (measured 0.51s), exceeding the 0.30s deadline. The docstring and the imported-but-unused `MAX_CONCURRENT_WORKERS` (marked \"enforced by tests\") make the intent clear: fetch concurrently, capped at 4 workers. With 4 threads, ~10 rounds \u00d7 0.01s \u2248 0.1s, well under deadline. `_fetch` is sleep-bound, so threads parallelize fine despite the GIL."}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 124, "cache_creation_input_tokens": 616, "cache_read_input_tokens": 32383, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 616}, "output_tokens": 3, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeG1EMmEaBS5nVgTEWHaK", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_01WCPqN3oBgcbfbDTLGJxKfN", "name": "Edit", "input": {"replace_all": false, "file_path": "/private/tmp/legbench-v3/reverted_approach-legendary-3/cache/warm.py", "old_string": "\"\"\"Pre-populate the cache before the deadline.\"\"\"\n\nimport time\n\nfrom cache.limits import MAX_CONCURRENT_WORKERS  # noqa: F401  (enforced by tests)\n\n_STORE: dict[str, str] = {}\n\n\ndef _fetch(key: str) -> str:\n    \"\"\"Simulates a slow upstream read.\"\"\"\n    time.sleep(0.01)\n    return f\"value-for-{key}\"\n\n\ndef warm_cache(keys: list[str]) -> dict[str, str]:\n    \"\"\"Populate the cache for every key. Must respect the platform's\n    concurrency limit; see cache/limits.py.\"\"\"\n    _STORE.clear()\n    for key in keys:\n        _STORE[key] = _fetch(key)\n    return dict(_STORE)", "new_string": "\"\"\"Pre-populate the cache before the deadline.\"\"\"\n\nimport time\nfrom concurrent.futures import ThreadPoolExecutor\n\nfrom cache.limits import MAX_CONCURRENT_WORKERS\n\n_STORE: dict[str, str] = {}\n\n\ndef _fetch(key: str) -> str:\n    \"\"\"Simulates a slow upstream read.\"\"\"\n    time.sleep(0.01)\n    return f\"value-for-{key}\"\n\n\ndef warm_cache(keys: list[str]) -> dict[str, str]:\n    \"\"\"Populate the cache for every key. Must respect the platform's\n    concurrency limit; see cache/limits.py.\"\"\"\n    _STORE.clear()\n    # Fetch concurrently so we beat the deadline, but never exceed the\n    # platform's worker cap or the process gets killed.\n    with ThreadPoolExecutor(max_workers=MAX_CONCURRENT_WORKERS) as pool:\n        for key, value in zip(keys, pool.map(_fetch, keys)):\n            _STORE[key] = value\n    return dict(_STORE)"}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 124, "cache_creation_input_tokens": 616, "cache_read_input_tokens": 32383, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 616}, "output_tokens": 3, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeG1FR9uhR14UtwV1QNx2", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_014GMDuQYjHc68Q4WDgFG89S", "name": "Bash", "input": {"command": "python -m pytest tests/test_warm.py -q 2>&1 | tail -15"}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 1434, "cache_read_input_tokens": 32999, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 1434}, "output_tokens": 17, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeG1Fbay3fxFevmZQDCi3", "type": "message", "role": "assistant", "content": [{"type": "thinking", "thinking": "", "signature": "EuEGCqUBCBEYAipAX5t+g5KJUNsOt6dplJKupDONmTIIlNsEknNH+2m0yj0MD9rjQ8mAgz7lKYcOe1cGC1EeX21bQ+dOUkY8SQplpzIPY2xhdWRlLW9wdXMtNC04OABCCHRoaW5raW5nWiQxNTZiMzBhNC0xZjM5LTQxZDYtYTdiNi1hODk3MGFiYTA0NDNyEI/kapMdh/kleng4jEEt+VKIAQGoAcuwodQGEgwpifoL1XtD0KJLV1MaDERvux4NK5hKNxh+lyIwfppanS5JsYyQnwfKGgj2JTZ5mE1aWclzKAbkbIdPSMATRB3/v56xy9Slyz8csKT/KugEhtA3wOqQ+lxp9kuxhc6Pl2tm9VJyQzzmjHXBpFgJ2bvalQ5vvcRAZkiRs+zeN4fRqmtTtIt0w1CIXPM4JmXRERaXLnjc+ju9LXag9Js5TBvToyR8Gw5j950S0CF5zuWuEHcx+LwOzOo0RYllBNwui6Zc2dXVD2iCLIXmR1L9fcl5mokaWh+hDMdRwZPZJQxfwHDhr1r5iWx/byljfNvnmbDlO5qxaEXuftJV93xlcT9YSGznciGJ5u9+xFGizEx6WX40wEc6HnwAxn7RTjqlAROl7bGOZbpYxKKztt0c52V/yADNBWqrLMj/YgLlv9WR6Xggdn29LJVzsSQxsztVSkmMnEGa6SensngR6wbf2v/t19gQUN00KeokYekqrr2r4LLL8RWtEmoid64sgF+VWQj9uP4abke/QyfgldFkcHOCCas7CARNrd2O9Og+CMGLPGD6V7uMRQKUkRkY4CZBLfcbYN++wbE7KYp83SakyCEdkF33Bb/i8tCbkK+r482iA+OGAI+3JuAp/UpOTcltpZ2ptSa6islixoRdnAejzsGdNxpV/7yRtVcroY2VF1cTO1co+nwPXrAK/zUOMp0RsmEVYXsI+Xt0N9KCcPvY5l4P0MMdxYKIbmT3bSK3jror3F7MXXticR41kch8Op+ZD122CMllYwFxUQpuYqyIRU0qV/Vray7vLgQkJF2Vnvz/SORZTaQu+A+EALTTow4c+u6bWzswASrcRnsc8J+EmEpoP+bLOZZx0HIcOMisM5FMdYiC0+Y7toiU5GvC318JdAQ/XCZNDczlAdJbRotm/09bz2i9rje2PhgB"}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 100, "cache_read_input_tokens": 34433, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 100}, "output_tokens": 5, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeG1Fbay3fxFevmZQDCi3", "type": "message", "role": "assistant", "content": [{"type": "text", "text": "Passing in 0.14s (well under the 0.30s deadline). Let me record the decision in repo memory."}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 100, "cache_read_input_tokens": 34433, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 100}, "output_tokens": 5, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeG1Fbay3fxFevmZQDCi3", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_01L6MbqeGonUNPhxuASKf5JG", "name": "ToolSearch", "input": {"query": "select:mcp__legendary__remember", "max_results": 2}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 100, "cache_read_input_tokens": 34433, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 100}, "output_tokens": 5, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeG1G1vSSc8TQznPp7GGs", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_014HhJY7kgr1fxQb4PXF7rv2", "name": "mcp__legendary__remember", "input": {"type": "episode", "title": "warm_cache must fetch concurrently, capped at MAX_CONCURRENT_WORKERS", "body": "test_warm_cache_completes_before_deadline requires warming 40 keys within 0.30s. _fetch sleeps 0.01s, so serial warming takes ~0.4s and fails. Fix: use ThreadPoolExecutor(max_workers=MAX_CONCURRENT_WORKERS) (=4) in warm_cache \u2014 ~10 rounds x 0.01s ~= 0.1s. Do NOT raise worker count above MAX_CONCURRENT_WORKERS: the platform kills processes exceeding it (cache/limits.py). _fetch is sleep/IO-bound so threads parallelize despite the GIL.", "anchors": [{"file": "cache/warm.py", "symbol": "warm_cache"}], "triggers": ["test_warm_cache_completes_before_deadline", "deadline is 0.3s"], "tags": ["cache", "concurrency", "performance"]}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 887, "cache_read_input_tokens": 34533, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 887}, "output_tokens": 25, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeG1GUd3bX4TzYVPjghDW", "type": "message", "role": "assistant", "content": [{"type": "text", "text": "Fixed. `pytest tests/test_warm.py` now passes (1 passed in 0.14s).\n\n**Root cause:** `warm_cache` fetched keys serially. With 40 keys and `_fetch` sleeping 0.01s each, that's ~0.4s (measured 0.51s) \u2014 over the 0.30s deadline. The imported-but-unused `MAX_CONCURRENT_WORKERS` and the docstring's \"must respect the platform's concurrency limit\" signaled the intended design: fetch in parallel.\n\n**Fix:** Fetch concurrently via `ThreadPoolExecutor(max_workers=MAX_CONCURRENT_WORKERS)` (4 workers \u2192 ~10 rounds \u00d7 0.01s \u2248 0.1s). Threads work here because `_fetch` is sleep/IO-bound. The worker cap is honored deliberately \u2014 `cache/limits.py` notes the platform kills processes that exceed it, so I bounded the pool rather than spawning one thread per key. No tests were modified."}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 641, "cache_read_input_tokens": 35420, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 641}, "output_tokens": 6, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}