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          "/tmp/agentl-venv/bin/agentl",
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        "stdout": "run.started {\"steps\": 5}\nstep.started [invoices] {\"kind\": \"use\"}\nstep.started [customers] {\"kind\": \"use\"}\nstep.succeeded [invoices] {\"records\": 3, \"seconds\": 0.033}\nstep.succeeded [customers] {\"records\": 2, \"seconds\": 0.047}\nstep.started [matched] {\"kind\": \"use\"}\nstep.succeeded [matched] {\"records\": 3, \"seconds\": 0.023}\nstep.started [classify] {\"kind\": \"agent\"}\nstep.succeeded [classify] {\"records\": 3, \"seconds\": 0.104, \"input_tokens\": 0, \"output_tokens\": 0, \"cache_read_tokens\": 0, \"llm_calls\": 3, \"tool_calls\": 0, \"cost_usd\": 0.0, \"model\": \"claude-opus-5-5\", \"cache_hits\": 0, \"models\": {\"claude-opus-5-5\": {\"llm_calls\": 3, \"input_tokens\": 0, \"output_tokens\": 0, \"cost_usd\": 0.0}}, \"answered_by\": {\"default\": 3}}\nstep.started [save] {\"kind\": \"use\"}\nstep.succeeded [save] {\"records\": 3, \"written\": 3, \"seconds\": 0.022}\nrun.succeeded {\"outcome\": \"success\", \"seconds\": 0.473, \"input_tokens\": 0, \"output_tokens\": 0, \"cost_usd\": 0.0, \"rejected\": 0}",
        "stderr": "",
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  "steps": [
    "cd <host-path> && ls -la && cat README* 2>/dev/null | head -300",
    "ls -la <host-path> 2>/dev/null; echo \"CDP=$CDP_URL $<env-var>\"; ls -la <host-path> 2>/dev/null; git -C <host-path> log --oneline -1 2>/dev/null",
    "cd <host-path> && python3 --version && (python3 -m venv /tmp/agentl-venv 2>&1 || (apt-get update -qq && apt-get install -y -qq python3-venv >/dev/null 2>&1 && python3 -m venv /tmp/agentl-venv)) && /tmp/agentl-venv/bin/pip install -q agentl-etl 2>&1 | tail -5; echo rc=$?; ls /tmp/agentl-venv/bin | grep agentl; ls examples; ",
    "sudo -n apt-get update -qq >/dev/null 2>&1; sudo -n apt-get install -y -qq python3.12-venv >/tmp/apt.log 2>&1; echo apt=$?; rm -rf /tmp/agentl-venv; python3 -m venv /tmp/agentl-venv && /tmp/agentl-venv/bin/pip install -q agentl-etl 2>&1 | tail -5; echo pip=$?; ls /tmp/agentl-venv/bin | grep agentl",
    "cd <host-path> && cat quickstart.yaml && ls -R data | head -20; /tmp/agentl-venv/bin/agentl --version; /tmp/agentl-venv/bin/agentl --help | head -30",
    "cd <host-path> && /tmp/agentl-venv/bin/agentl run examples/quickstart.yaml 2>&1 | tail -30; echo rc=${PIPESTATUS[0]}; ls -la out 2>/dev/null; head -c 600 out/invoices.json 2>/dev/null",
    "cd <host-path> && rm -rf out .agentl && mkdir -p .coldpass && cat > .coldpass/probe.json <<'EOF'\n{\"kind\":\"cli\",\"argv\":[\"/tmp/agentl-venv/bin/agentl\",\"run\",\"examples/quickstart.yaml\"],\"cwd\":\"<host-path>\"}\nEOF\ncat > .coldpass/report.json <<'EOF'\n{\"outcome\":\"working\",\"operation\":\"agentl run examples/quickstart.yaml (offline echo provider): CSV + JSON read, join, agent classify over 3 records, json.write to out/invoices.json\",\"operation_scope\":\"Offline echo LLM provider; no Anthropic API key needed or used. Real-model classification not exercised. Full unit/lint suites not run per task instructions.\",\"steps\":[\"pip install agentl-etl into /tmp/agentl-venv (venv needed sudo apt install python3.12-venv first)\",\"/tmp/agentl-venv/bin/agentl --version -> agentl 0.12.0\",\"agentl run examples/quickstart.yaml -> run.succeeded, rc=0, 3 records written\"],\"deviations\":[\"README 'pip install agentl-etl' failed because python3 -m venv lacked ensurepip; ran 'sudo apt-get install python3.12-venv' then created venv at /tmp/agentl-venv and installed there.\",\"Installed from PyPI (agentl-etl 0.12.0) rather than the pinned checkout source, since README documents the PyPI install; the checkout's own version is beta 0.10 per README badge text.\"],\"stuck_step\":null,\"main_blocker\":null,\"suggested_fix\":null}\nEOF\n<env-var>=<host-path> python3 -I <host-path> --validate; echo rc=$?"
  ],
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  "repo": "arimayuji/agentl",
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  "operation_scope": "product operation",
  "reasoning": "low",
  "claims": [],
  "platform": "linux",
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  "backend": null,
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  "profile": {
    "model": "claude-haiku-5-5",
    "reasoning": "low"
  },
  "date": "2026-10-18T17:42:16.327291+00:00",
  "kind": "repo",
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    "disk_mib": 32768
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  "what_it_did": "agentl run examples/quickstart.yaml (offline echo provider): CSV + JSON read, join, agent classify over 3 records, json.write to out/invoices.json",
  "sandbox_source": null,
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  "test_version": "readme-50129ada4255164f0ea15af10e5fd3b6478bb717aeea9ab520723f8597db9e85",
  "recovery": {
    "source": "legacy-oct16-18",
    "original_run_id": "arimayuji--agentl-claude-haiku-5-5-1792345275144207439",
    "historical": true,
    "ledger_sha256": "c5e6a833c182c1e2aecf69d0bd0020aec63c65d98f3e933e4b32232340312736"
  },
  "transcript_url": "/transcripts/arimayuji--agentl-claude-haiku-5-5-1792345275144207439.txt",
  "report_url": "/reports/arimayuji--agentl-claude-haiku-5-5-1792345275144207439.json"
}
