{ "run_id": "TayHCode--sysone-cpu-claude-haiku-5-5-1792644887338465139", "date": "2026-10-22T05:04:12.144447+00:00", "repo": "TayHCode/sysone-cpu", "kind": "repo", "source": "https://github.com/TayHCode/sysone-cpu", "commit": "c236055c37fc05a0e3f5e9a2933dd8eb946e4f89", "model": "claude-haiku-5-5", "model_version": "claude-haiku-5-5", "test_version": "readme-1924d8f529c6fc4500abb29916f5c9ac942027957e7b82d725d5610040cd3b4a", "pass": true, "outcome": "pass", "time_to_working_s": 530.6048767609755, "total_s": 564.8059606552124, "steps": [ "id -u; cat /etc/os-release | head -2; python3 --version; cd && pwd && ls -la && git status 2>&1 | head -3", "cd && cat README.md 2>/dev/null || find . -maxdepth 2 -iname 'readme*'", "cd ; which uv git curl; uv --version 2>&1; free -g | head -2; df -h /tmp | tail -1; ls .coldpass; ls scripts tests docs benchmarks; cat release-check.json | head -50", "cd && git init -q && git remote add origin https://github.com/TayHCode/sysone-cpu && timeout 120 git fetch --depth 1 origin c236055c37fc05a0e3f5e9a2933dd8eb946e4f89 2>&1 | tail -5; git reset --mixed FETCH_HEAD 2>&1 | tail -2; git log --oneline -1 2>&1", "cd && curl -LsSf https://astral.sh/uv/install.sh -o /tmp/uv-install.sh 2>&1 | tail -3; sh /tmp/uv-install.sh 2>&1 | tail -3; export PATH=\"$HOME/.local/bin:$PATH\"; uv --version", "cd && export PATH=\"$HOME/.local/bin:$PATH\" && uv venv --python 3.12 2>&1 | tail -3 && uv pip install --python .venv --only-binary :all: torch==2.14.0 --index-url https://download.pytorch.org/whl/cpu 2>&1 | tail -5", "cd && export PATH=\"$HOME/.local/bin:$PATH\" && uv pip install --python .venv --only-binary :all: laya==0.3.4 transformers==5.17.0 tokenizers==0.23.3 safetensors==0.8.0 huggingface_hub==1.32.0 numpy==2.5.3 psutil==7.2.2 2>&1 | tail -4; cat scripts/download_model.py | head -80", "cd && export PATH=\"$HOME/.local/bin:$PATH\" && nohup uv run --no-project --python .venv python scripts/download_model.py > 2>&1 &\nsleep 60; tail -c 600 ; du -sh 2>/dev/null", "cd && export PATH=\"$HOME/.local/bin:$PATH\" && ls .cache/first-run.json 2>&1; timeout 900 uv run --no-project --python .venv python benchmarks/bench_laya_cpu.py --model .cache/model/typed-decisions --threads 4 --warmup 1 --repeats 1 --counts 1,3 --output .cache/first-run.json > 2>&1; echo rc=$?; tail -c 1500 ; ls -la .cache/first-run.json 2>&1", "cd && python3 -c \"import json;d=json.load(open('.cache/first-run.json'));print(list(d.keys()));print(d.get('meta'))\" ; sed -n 1,60p scripts/check_syntax.py | head -5; cat docs/setup.md | head -80", "cd && grep -rniE \"cron|schedul|--once|--now|webhook|while True|daemon\" --include=*.py --include=*.md --include=*.yml . 2>/dev/null | grep -v .venv | grep -v .cache | head -20; echo ---; grep -n \"meta.device\\|no server, background\\|No server\\|The quickstart uses\\|python3 -m unittest\\|Confidence does not\\|Smaller\\|five commands\" README.md; echo ---; which uv; ls -la ~/.local/bin/uv; sed -n 1,40p scripts/check_syntax.py | tail -20", "cd && mkdir -p .coldpass && rm -f .cache/first-run.json && cat > .coldpass/probe.json <<'EOF'\n{\"kind\":\"cli\",\"argv\":[\"\",\"run\",\"--no-project\",\"--python\",\".venv\",\"python\",\"benchmarks/bench_laya_cpu.py\",\"--model\",\".cache/model/typed-decisions\",\"--threads\",\"4\",\"--warmup\",\"1\",\"--repeats\",\"1\",\"--counts\",\"1,3\",\"--output\",\".cache/probe-run.json\"],\"cwd\":\"\",\"expected_text\":\"wrote .cache/probe-run.json\"}\nEOF\ncat > .coldpass/claims.json <<'EOF'\n[\n{\"kind\":\"claim\",\"claim\":\"The README quickstart benchmark command runs PyTorch FP32 inference on CPU and writes its results file\",\"source\":\"uv run --no-project --python .venv python benchmarks/bench_laya_cpu.py --model .cache/model/typed-decisions --threads 4 --warmup 1 --repeats 1 --counts 1,3 --output .cache/first-run.json\",\"input\":\"same command with --output .cache/claim-bench.json\",\"expected\":\"stdout reports the file was written\",\"probe_kind\":\"cli\",\"argv\":[\"\",\"run\",\"--no-project\",\"--python\",\".venv\",\"python\",\"benchmarks/bench_laya_cpu.py\",\"--model\",\".cache/model/typed-decisions\",\"--threads\",\"4\",\"--warmup\",\"1\",\"--repeats\",\"1\",\"--counts\",\"1,3\",\"--output\",\".cache/claim-bench.json\"],\"cwd\":\"\",\"expected_text\":\"wrote .cache/claim-bench.json\"},\n{\"kind\":\"claim\",\"claim\":\"The checkpoint downloader verifies the pinned typed-decisions checkpoint\",\"source\":\"uv run --no-project --python .venv python scripts/download_model.py\",\"input\":\"download and verify the pinned checkpoint\",\"expected\":\"prints that the pinned checkpoint is verified\",\"probe_kind\":\"cli\",\"argv\":[\"\",\"run\",\"--no-project\",\"--python\",\".venv\",\"python\",\"scripts/download_model.py\"],\"cwd\":\"\",\"expected_text\":\"Pinned typed-decisions checkpoint verified.\"}\n]\nEOF\ncat > .coldpass/examples.json <<'EOF'\n[\n{\"kind\":\"example\",\"claim\":\"Local checks need only Python's standard library and run the offline unit tests\",\"source\":\"README.md Local checks\",\"input\":\"unittest discovery over tests/\",\"expected\":\"all offline tests pass with exit 0\",\"argv\":[\"python3\",\"-m\",\"unittest\",\"discover\",\"-s\",\"tests\",\"-q\"],\"cwd\":\"\"},\n{\"kind\":\"example\",\"claim\":\"Local syntax check of the repository Python files\",\"source\":\"README.md Local checks\",\"input\":\"scripts, benchmarks and tests directories\",\"expected\":\"prints Python syntax checked.\",\"argv\":[\"python3\",\"scripts/check_syntax.py\"],\"cwd\":\"\",\"expected_text\":\"Python syntax checked.\"},\n{\"kind\":\"example\",\"claim\":\"Optional ONNX Runtime FP32 route and parity check against the PyTorch reference\",\"source\":\"README.md Optional: ONNX Runtime FP32\",\"reason\":\"Deferred: needs a second Python environment with onnxruntime and about 1.69 GB of additional ONNX weights, while this VM has 3 GB RAM total (README asks for 8 GB available for setup). Not run.\",\"deferred\":true}\n]\nEOF\ncat > .coldpass/cycles.json <<'EOF'\n{\"detected\":false,\"reason\":\"Entry points inspected: README.md, scripts/ (download_model.py, download_onnx.py, parity.py, check_syntax.py, onnx_runtime.py), benchmarks/ (bench_laya_cpu.py, bench_laya_ort.py). Searched for cron, schedule, loop, --once, --now, webhook and daemon; no product scheduler or recurring cycle exists. The product is a one-shot CLI run per command, and README states no server, background service or model weights ship here.\",\"checks\":[]}\nEOF\npython3 -m json.tool .coldpass/probe.json >/dev/null && python3 -m json.tool .coldpass/claims.json >/dev/null && python3 -m json.tool .coldpass/examples.json >/dev/null && python3 -m json.tool .coldpass/cycles.json >/dev/null && echo JSON_OK; ls /inputs/ 2>&1", "cd && COLDPASS_WORKSPACE= timeout 1500 python3 -I --validate --replay 2>&1 | tail -60; echo rc=${PIPESTATUS[0]}", "cd && cat > .coldpass/report.json <<'EOF'\n{\"outcome\":\"working\",\"fault_owner\":null,\"operation\":\"Run the sysone-cpu PyTorch FP32 quickstart: download and verify the pinned English typed-decisions checkpoint, then run the CPU benchmark on synthetic ticket questions and write its results JSON\",\"operation_scope\":\"Linux x86-64 CPU, Ubuntu 24.04, Python 3.12.3, uv 0.13.5, torch 2.14.0+cpu, laya 0.3.4, pinned commit c236055c37fc05a0e3f5e9a2933dd8eb946e4f89. Benchmark run with 4 threads, 1 warmup, 1 repeat, counts 1 and 3. Checkpoint needs about 843 MB of public Hugging Face download; no account needed.\",\"steps\":[\"git init; git remote add origin https://github.com/TayHCode/sysone-cpu; git fetch --depth 1 origin c236055c37fc05a0e3f5e9a2933dd8eb946e4f89; git reset --mixed FETCH_HEAD\",\"curl -LsSf https://astral.sh/uv/install.sh | sh (uv 0.13.5 installed to )\",\"uv venv --python 3.12\",\"uv pip install --python .venv --only-binary :all: torch==2.14.0 --index-url https://download.pytorch.org/whl/cpu\",\"uv pip install --python .venv --only-binary :all: laya==0.3.4 transformers==5.17.0 tokenizers==0.23.3 safetensors==0.8.0 huggingface_hub==1.32.0 numpy==2.5.3 psutil==7.2.2\",\"uv run --no-project --python .venv python scripts/download_model.py\",\"uv run --no-project --python .venv python benchmarks/bench_laya_cpu.py --model .cache/model/typed-decisions --threads 4 --warmup 1 --repeats 1 --counts 1,3 --output .cache/first-run.json\"],\"deviations\":[\"VM has 3 GB total RAM; README asks for at least 8 GB available RAM for setup. The benchmark still ran (RSS about 2.0 GB), so this was not blocking here.\",\"uv was not preinstalled; installed with the official astral.sh installer (curl | sh) per the README's uv prerequisite link, into \",\"git was not a repo in the snapshot; ran git init and fetched the pinned commit as instructed.\",\"ONNX Runtime optional route not run: needs a second environment and about 1.69 GB of extra ONNX weights, and the ONNX parity check was not run. Recorded as a deferred example.\",\"Used absolute uv path in probe/claim argv instead of PATH lookup. Benchmark output path changed to fresh .cache/probe-run.json and .cache/claim-bench.json for replay; README's own command was run once with .cache/first-run.json and succeeded.\",\"The checker's default preflight path /inputs/coldpass-preflight.py does not exist in this guest; used as instructed in the task.\",\"Product has no scheduler or recurring cycle, so cycles.json has detected:false.\"],\"stuck_step\":null,\"main_blocker\":null,\"plain_failure\":null,\"suggested_fix\":null}\nEOF\npython3 -m json.tool .coldpass/report.json >/dev/null && echo REPORT_OK; COLDPASS_WORKSPACE= timeout 1500 python3 -I --validate --replay 2>&1 | python3 -c \"import sys,json;d=json.loads(sys.stdin.read());print('valid',d['valid'],'problems',d['problems'],'replay',d['replay']['status'])\"" ], "stuck_step": null, "error_excerpt": null, "what_it_did": "Run the sysone-cpu PyTorch FP32 quickstart: download and verify the pinned English typed-decisions checkpoint, then run the CPU benchmark on synthetic ticket questions and write its results JSON", "suggested_fix": null, "tokens_in": 241669, "tokens_out": 12348, "cost_usd": 0.014447500000000002, "usage_complete": true, "checks": [ { "check": "operation", "status": "PASS", "details": { "working": true, "argv": [ "", "run", "--no-project", "--python", ".venv", "python", "benchmarks/bench_laya_cpu.py", "--model", ".cache/model/typed-decisions", "--threads", "4", "--warmup", "1", "--repeats", "1", "--counts", "1,3", "--output", ".cache/probe-run.json" ], "kind": "cli", "returncode": 0, "stdout": "timing 1 questions ...\n p50=965.1 ms p95=965.1 ms 1.04 q/s RSS=2056.2 MiB CPU=106.3%\ntiming 3 questions ...\n p50=2298.6 ms p95=2298.6 ms 1.30 q/s RSS=2060.1 MiB CPU=123.9%\nwrote .cache/probe-run.json", "stderr": "", "needs_credentials": false, "needs_browser": false, "scope": "product operation" } } ], "safety": { "version": "z2x-1", "rules_version": "z2x-1", "summary": "Review signals: 1 connection review.", "findings": [ { "kind": "connection-review", "count": 1, "note": "Repository processes attempted these non-loopback connections; proxies can hide the final hostname.", "location_count": 35, "process_count": 14 } ], "context": [], "limitations": [ "A short run cannot establish that code is safe.", "Connections show IP addresses; proxies can hide the final hostname.", "Tracing covers dispatched commands and their children, not the whole OS; guest root can interfere with tracing." ], "static": { "dependency_note": "OSV scanned supported lockfiles; unpinned dependencies and unsupported formats are outside this check." }, "evidence_url": "/safety/?run=TayHCode--sysone-cpu-claude-haiku-5-5-1792644887338465139", "evidence_file": "/data/safety/TayHCode--sysone-cpu-claude-haiku-5-5-1792644887338465139.json.gz" }, "agent_execution": "native_agent", "agent_runtime": "claude-code", "agent_runtime_version": "2.1.300 (Claude Code)", "tool_transport": "mcp-assigned-vm", "platform": "linux", "reasoning": "low", "service_tier": null, "resources": { "cpus": 2, "memory_mib": 4096, "disk_mib": 32768 }, "native_tool_calls": 14, "native_bundle": null, "architecture": null, "backend": "hyperv", "platform_details": { "backend": "hyperv", "os": "linux" }, "platform_conflicts": null, "sandbox_source": null, "source_pin": { "commit": "c236055c37fc05a0e3f5e9a2933dd8eb946e4f89", "url": "https://github.com/TayHCode/sysone-cpu" }, "purpose": "initial", "profile": { "model": "claude-haiku-5-5", "reasoning": "low" }, "fault": { "owner": null, "status": "resolved", "reason": null }, "fix_id": null, "verifies_run_id": null, "hosting": null, "operation_scope": "product operation", "tool_calls": 14, "guest_setup": null, "runtime": null, "runtime_version": null, "runtime_revision": null, "source_revision": null, "evidence_version": null, "failure_origin": null, "evidence_strength": "readme_checked", "works": "yes", "install_s": null, "first_use_s": null, "mcp": "none", "needs": [], "needs_which": null, "agent_interface": [ "cli" ], "license": "MIT", "repo_url": "https://github.com/TayHCode/sysone-cpu", "cost_to_try": "free", "hardware": "GPU", "what_failed": null, "local_or_hosted": "local", "cycle_checks": [ { "kind": "cycle", "claim": "Scheduled or looping main behavior", "source": "repository entry points", "input": "source inspection", "expected": "identify the product trigger", "verdict": "yes", "outcome": "Entry points inspected: README.md, scripts/ (download_model.py, download_onnx.py, parity.py, check_syntax.py, onnx_runtime.py), benchmarks/ (bench_laya_cpu.py, bench_laya_ort.py). Searched for cron, schedule, loop, --once, --now, webhook and daemon; no product scheduler or recurring cycle exists. The product is a one-shot CLI run per command, and README states no server, background service or model weights ship here.", "evidence": "Entry points inspected: README.md, scripts/ (download_model.py, download_onnx.py, parity.py, check_syntax.py, onnx_runtime.py), benchmarks/ (bench_laya_cpu.py, bench_laya_ort.py). Searched for cron, schedule, loop, --once, --now, webhook and daemon; no product scheduler or recurring cycle exists. The product is a one-shot CLI run per command, and README states no server, background service or model weights ship here.", "command": "" } ], "claims": [ { "kind": "claim", "claim": "The README quickstart benchmark command runs PyTorch FP32 inference on CPU and writes its results file", "source": "uv run --no-project --python .venv python benchmarks/bench_laya_cpu.py --model .cache/model/typed-decisions --threads 4 --warmup 1 --repeats 1 --counts 1,3 --output .cache/first-run.json", "input": "same command with --output .cache/claim-bench.json", "expected": "stdout reports the file was written", "command": " run --no-project --python .venv python benchmarks/bench_laya_cpu.py --model .cache/model/typed-decisions --threads 4 --warmup 1 --repeats 1 --counts 1,3 --output .cache/claim-bench.json", "verdict": "yes", "outcome": "Real input produced the expected result: wrote .cache/claim-bench.json", "evidence": "wrote .cache/claim-bench.json\n", "returncode": 0, "source_checked": true, "source_file": "README.md" }, { "kind": "claim", "claim": "The checkpoint downloader verifies the pinned typed-decisions checkpoint", "source": "uv run --no-project --python .venv python scripts/download_model.py", "input": "download and verify the pinned checkpoint", "expected": "prints that the pinned checkpoint is verified", "command": " run --no-project --python .venv python scripts/download_model.py", "verdict": "yes", "outcome": "Real input produced the expected result: Pinned typed-decisions checkpoint verified.", "evidence": "Pinned typed-decisions checkpoint verified.\n\rFetching 5 files: 0%| | 0/5 [00:00