{ "run_id": "vinnylarouge--jevlike-gpt-6-luna-1792811971047734057", "date": "2026-10-24T03:23:44.033587+00:00", "repo": "vinnylarouge/jevlike", "kind": "repo", "source": "https://github.com/vinnylarouge/jevlike", "commit": "94f5fd1b0b11d52bbdfdf4e0ee6aa96b568f8452", "model": "gpt-6-luna", "model_version": "gpt-6-luna", "test_version": "readme-f72312298d35d84837d4fc5f6f22b138d54d456600b5ed431e36e8f5db931dbf", "pass": true, "outcome": "pass", "time_to_working_s": 220.7338978271, "total_s": 252.98583149909973, "steps": [ "pwd; rg --files -g 'README*' -g 'AGENTS.md' -g 'pyproject.toml' -g 'package.json' -g 'Makefile' -g '*.md' | head -80; git status --short --branch; python3 --version; id -u; ls -la", "cat AGENTS.md; cat README.md; cat pyproject.toml; find . -maxdepth 3 -type f | sort; vault-search 'jevlike MCP scheduling README prior work' || true; ls -la 2>/dev/null || true; git init; git remote add origin https://github.com/vinnylarouge/jevlike; git fetch --depth 1 origin 94f5fd1b0b11d52bbdfdf4e0ee6aa96b568f8452; git reset --mixed FETCH_HEAD", "command -v uv || true; command -v sudo; sudo -n true; command -v pip3; python3 -m pip --version; sed -n '1,180p' jevlike/predict.py; sed -n '1,160p' jevlike/data.py", "sudo -n apt-get update && sudo -n apt-get install -y uv python3-venv python3-pip; uv --version; mkdir -p .coldpass; uv venv; .venv/bin/python --version; .venv/bin/python -m pip --version; uv pip install -e '.[dev]'", "curl -LsSf https://astral.sh/uv/install.sh | sh; ls -la ; venv; pip install -e '.[dev]'", "UV=; $UV venv; $UV pip install -e '.[dev]'; source .venv/bin/activate; jevlike-data synthetic --output data/synthetic; jevlike-train data/synthetic/train.jsonl --validation data/synthetic/validation.jsonl --output runs/synthetic.pt; jevlike-eval runs/synthetic.pt data/synthetic/test.jsonl; jevlike-predict runs/synthetic.pt --context 'Choose the exact badge amber badger. Badge: amber badger.' --option 'azure crane' --option 'amber badger' --option 'gold heron'", "mkdir -p .coldpass; cat > .coldpass/probe.json <<'EOF'\n{\"kind\":\"cli\",\"argv\":[\"\",\"runs/synthetic.pt\",\"--context\",\"Choose the exact badge amber badger. Badge: amber badger.\",\"--option\",\"azure crane\",\"--option\",\"amber badger\",\"--option\",\"gold heron\"],\"cwd\":\"\",\"expected_text\":\"\\\"option\\\": \\\"amber badger\\\"\"}\nEOF\ncat > .coldpass/claims.json <<'EOF'\n[{\"kind\":\"claim\",\"claim\":\"The quickstart scores a new menu using the trained model.\",\"source\":\"Run these commands from the repository root. They create local synthetic data, train on it, evaluate the saved model and score one new menu.\",\"input\":\"Choose the exact badge amber badger; options azure crane, amber badger, gold heron.\",\"expected\":\"amber badger has the highest probability\",\"probe_kind\":\"cli\",\"argv\":[\"\",\"runs/synthetic.pt\",\"--context\",\"Choose the exact badge amber badger. Badge: amber badger.\",\"--option\",\"azure crane\",\"--option\",\"amber badger\",\"--option\",\"gold heron\"],\"expected_text\":\"\\\"option\\\": \\\"amber badger\\\"\",\"cwd\":\"\"}]\nEOF\ncat > .coldpass/examples.json <<'EOF'\n[{\"kind\":\"example\",\"claim\":\"README Quickstart: generate data, train, evaluate and predict\",\"source\":\"README.md / Quickstart\",\"input\":\"Synthetic menus with amber badger choice\",\"expected\":\"evaluation and prediction results printed\",\"argv\":[\"/bin/bash\",\"-c\",\"source .venv/bin/activate && jevlike-eval runs/synthetic.pt data/synthetic/test.jsonl && jevlike-predict runs/synthetic.pt --context 'Choose the exact badge amber badger. Badge: amber badger.' --option 'azure crane' --option 'amber badger' --option 'gold heron'\"],\"cwd\":\"\",\"expected_text\":\"amber badger\"}]\nEOF\ncat > .coldpass/cycles.json <<'EOF'\n{\"detected\":false,\"reason\":\"Inspected README and package entry points: this package provides data generation, training, evaluation, and prediction commands; no product scheduler, webhook, or recurring cycle is documented.\"}\nEOF\n= python3 -I --validate --replay", "cat > .coldpass/report.json <<'EOF'\n{\"outcome\":\"working\",\"fault_owner\":null,\"operation\":\"README synthetic text quickstart: data generation, training, evaluation and scoring a new menu\",\"operation_scope\":\"Python 3.12.3 with uv-managed .venv and CPU; editable install with dev extras\",\"steps\":[\"Installed uv using the README-compatible Astral installer after apt had no uv package.\",\"uv venv\",\"uv pip install -e '.[dev]'\",\"jevlike-data synthetic --output data/synthetic\",\"jevlike-train data/synthetic/train.jsonl --validation data/synthetic/validation.jsonl --output runs/synthetic.pt\",\"jevlike-eval runs/synthetic.pt data/synthetic/test.jsonl\",\"jevlike-predict runs/synthetic.pt --context 'Choose the exact badge amber badger. Badge: amber badger.' --option 'azure crane' --option 'amber badger' --option 'gold heron'\"] ,\"deviations\":[\"sudo apt-get install -y uv python3-venv python3-pip failed because Ubuntu could not locate package uv; pip package not present in system Python. Installed uv with curl -LsSf https://astral.sh/uv/install.sh | sh; subsequent documented operation succeeded in uv venv.\"],\"stuck_step\":null,\"main_blocker\":null,\"plain_failure\":null,\"suggested_fix\":null}\nEOF\n= python3 -I --validate --replay" ], "stuck_step": null, "error_excerpt": null, "what_it_did": "README synthetic text quickstart: data generation, training, evaluation and scoring a new menu", "suggested_fix": null, "tokens_in": 143300, "tokens_out": 1890, "cost_usd": null, "usage_complete": true, "checks": [ { "check": "operation", "status": "PASS", "details": { "working": true, "argv": [ "", "runs/synthetic.pt", "--context", "Choose the exact badge amber badger. Badge: amber badger.", "--option", "azure crane", "--option", "amber badger", "--option", "gold heron" ], "kind": "cli", "returncode": 0, "stdout": "[\n {\n \"option\": \"azure crane\",\n \"probability\": 1.0349754830940583e-08\n },\n {\n \"option\": \"amber badger\",\n \"probability\": 1.0\n },\n {\n \"option\": \"gold heron\",\n \"probability\": 4.981465195896817e-08\n[excerpt truncated]", "stderr": "", "needs_credentials": false, "needs_browser": false, "scope": "product operation" } } ], "safety": { "version": "z2x-1", "rules_version": "z2x-1", "summary": "No problems traced to this repository code in these checks.", "findings": [], "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=vinnylarouge--jevlike-gpt-6-luna-1792811971047734057", "evidence_file": "/data/safety/vinnylarouge--jevlike-gpt-6-luna-1792811971047734057.json.gz" }, "agent_execution": "native_agent", "agent_runtime": "codex", "agent_runtime_version": "codex-cli 0.163.0", "tool_transport": "mcp-assigned-vm", "platform": "linux", "reasoning": "low", "service_tier": "standard", "resources": { "cpus": 2, "memory_mib": 4096, "disk_mib": 32768 }, "native_tool_calls": 8, "native_bundle": null, "architecture": null, "backend": "hyperv", "platform_details": { "backend": "hyperv", "os": "linux" }, "platform_conflicts": null, "sandbox_source": null, "source_pin": { "commit": "94f5fd1b0b11d52bbdfdf4e0ee6aa96b568f8452", "url": "https://github.com/vinnylarouge/jevlike" }, "purpose": "initial", "profile": { "model": "gpt-6-luna", "reasoning": "low" }, "fault": { "owner": null, "status": "resolved", "reason": null }, "fix_id": null, "verifies_run_id": null, "hosting": null, "operation_scope": "product operation", "tool_calls": 8, "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/vinnylarouge/jevlike", "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": "Inspected README and package entry points: this package provides data generation, training, evaluation, and prediction commands; no product scheduler, webhook, or recurring cycle is documented.", "evidence": "Inspected README and package entry points: this package provides data generation, training, evaluation, and prediction commands; no product scheduler, webhook, or recurring cycle is documented.", "command": "" } ], "claims": [ { "kind": "claim", "claim": "The quickstart scores a new menu using the trained model.", "source": "Run these commands from the repository root. They create local synthetic data, train on it, evaluate the saved model and score one new menu.", "input": "Choose the exact badge amber badger; options azure crane, amber badger, gold heron.", "expected": "amber badger has the highest probability", "command": " runs/synthetic.pt --context 'Choose the exact badge amber badger. Badge: amber badger.' --option 'azure crane' --option 'amber badger' --option 'gold heron'", "verdict": "yes", "outcome": "Real input produced the expected result: \"option\": \"amber badger\"", "evidence": "\"option\": \"amber badger\",\n \"probability\": 1.0\n },\n {\n \"option\": \"gold heron\",\n \"probability\": 4.981465195896817e-08\n }\n]\n", "returncode": 0, "source_checked": true, "source_file": "README.md" } ], "claims_note": null, "example_checks": [ { "kind": "example", "claim": "README Quickstart: generate data, train, evaluate and predict", "source": "README.md / Quickstart", "input": "Synthetic menus with amber badger choice", "command": "/bin/bash -c 'source .venv/bin/activate && jevlike-eval runs/synthetic.pt data/synthetic/test.jsonl && jevlike-predict runs/synthetic.pt --context '\"'\"'Choose the exact badge amber badger. Badge: amber badger.'\"'\"' --option '\"'\"'azure crane'\"'\"' --option '\"'\"'amber badger'\"'\"' --option '\"'\"'gold heron'\"'\"''", "evidence": "{\n \"model\": {\n \"top1\": 0.9975,\n \"top3\": 1.0,\n \"ece\": 0.004109145622351207,\n \"examples\": 400\n },\n \"shuffled_context\": {\n \"top1\": 0.2275,\n \"top3\": 0.6825,\n \"ece\": 0.6250184109667316,\n \"examples\": 400\n },\n \"device\": \"cpu\"\n}\n[\n {\n \"option\": \"azure crane\",\n \"probability\": 1.0349754830940583e-08\n },\n {\n \"option\": \"amber badger\",\n \"probability\": 1.0\n },\n {\n \"option\": \"gold heron\",\n \"probability\": 4.981465195896817e-08\n }\n]", "deferred": false, "expected": "evaluation and prediction results printed", "returncode": 0, "verdict": "yes", "outcome": "command completed successfully" } ], "does_what_it_says": "yes", "maintenance": { "archived": false, "commits_90d": 3, "last_commit_at": "2026-09-16T18:12:49Z", "last_release_at": null, "median_reply_hours": null, "merged_prs_90d": 0, "note": "slow: last commit 37 days ago; 3 commits and 0 merged PRs in 90 days; 3 open issues, 5 open PRs; 0 of 8 recent threads got a maintainer reply; no releases", "open_issues": 3, "open_prs": 5, "reply_share": 0.0, "reply_threads": 8, "verdict": "slow" }, "maintenance_verdict": "slow", "maintenance_note": "slow: last commit 37 days ago; 3 commits and 0 merged PRs in 90 days; 3 open issues, 5 open PRs; 0 of 8 recent threads got a maintainer reply; no releases", "maintained": "active", "maintained_note": "last commit 37 days ago; 3 open issues, 0 answered or closed", "last_commit_at": "2026-09-16T18:12:53Z", "last_release_at": null, "open_issues": 3, "answered_issues": 0, "platforms_claimed": [ "linux" ], "topic": "other", "agent_interfaces": [ { "interface": "cli", "evidence": "independent checker", "observed": true, "operation_checked": true } ], "agent_interfaces_note": "README metadata is a discovery hint, not pinned documentation proof. Observed interfaces were exercised in this run. An empty list means unknown.", "mcp_context": null, "tested_at": "2026-10-24T03:23:44.033587+00:00", "tested_commit": "94f5fd1b0b11d52bbdfdf4e0ee6aa96b568f8452", "tested_with": { "agent": "codex", "agent_version": "codex-cli 0.163.0", "model": "gpt-6-luna", "model_route": "gpt-6-luna", "reasoning": "low", "os": "linux", "backend": "hyperv", "transport": "mcp-assigned-vm" }, "setup_identity": { "repo": "vinnylarouge/jevlike", "source": "https://github.com/vinnylarouge/jevlike", "commit": "94f5fd1b0b11d52bbdfdf4e0ee6aa96b568f8452", "source_revision": null, "os": "linux", "architecture": null, "backend": "hyperv", "model": "gpt-6-luna", "model_version": "gpt-6-luna", "agent_execution": "native_agent", "agent_runtime": "codex", "agent_runtime_version": "codex-cli 0.163.0", "tool_transport": "mcp-assigned-vm", "runtime": null, "runtime_version": null, "runtime_revision": null, "sandbox_source": null, "guest_setup": null, "source_pin": { "commit": "94f5fd1b0b11d52bbdfdf4e0ee6aa96b568f8452", "url": "https://github.com/vinnylarouge/jevlike" }, "platform_details": { "os": "linux", "backend": "hyperv" }, "platform_conflicts": null, "reasoning": "low", "service_tier": "standard", "resources": { "cpus": 2, "memory_mib": 4096, "disk_mib": 32768 }, "operation": "README synthetic text quickstart: data generation, training, evaluation and scoring a new menu", "operation_scope": "product operation", "hosting": null, "kind": "repo", "test_version": "readme-f72312298d35d84837d4fc5f6f22b138d54d456600b5ed431e36e8f5db931dbf", "evidence_version": null }, "other_model": null, "other_run_id": null, "models_agree": null, "furthest_model": null, "transcript_url": null, "report_url": "/reports/vinnylarouge--jevlike-gpt-6-luna-1792811971047734057.json" }