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      "details": {
        "working": true,
        "argv": [
          "first turn",
          "second turn"
        ],
        "kind": "cli",
        "returncode": 0,
        "stdout": "you> first turn\nassistant> Turn 3: the model received the complete conversation through turn 3.\nyou> second turn\nassistant> Turn 4: the model received the complete conversation through turn 4.",
        "stderr": "",
        "needs_credentials": false,
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  "steps": [
    "cd <host-path> && ls -la && cat README.md 2>/dev/null | head -200",
    "cat <host-path> 2>/dev/null | head -50; echo; env | grep -i -E 'CDP|PROXY' ",
    "cd <host-path> && cat docs/a13n-harness/getting-started.md | head -150; echo ---; cat .python-version; python3 --version; which uv node docker; ls <host-path> 2>/dev/null",
    "cd <host-path> && (command -v uv || (curl -LsSf https://astral.sh/uv/install.sh | sh)) 2>&1 | tail -3; export PATH=$HOME/.local/bin:$PATH; export NODE_USE_ENV_PROXY=1; uv --version && uv sync --locked --package a13n-harness 2>&1 | tail -20; echo EXIT=$?",
    "cd <host-path> && export PATH=$HOME/.local/bin:$PATH && ls .venv/bin | grep -i a13n; grep -rhoE \"(uv run|a13n-harness|make) [^\\`\\\"]{0,80}\" docs/a13n-harness/*.md dev/harness-ui/README.md 2>/dev/null | sort | uniq -c | sort -rn | head -40",
    "mkdir -p <host-path> && cd <host-path> && cat > app.py <<'EOF'\nimport asyncio\nfrom collections.abc import AsyncIterator\n\nfrom a13n_harness import (\n    AgentSpec,\n    HarnessBuilder,\n)\nfrom pydantic_ai.messages import ModelMessage\nfrom pydantic_ai.models.function import AgentInfo, FunctionModel\n\n\nasync def respond(\n    messages: list[ModelMessage],\n    info: AgentInfo,\n) -> AsyncIterator[str]:\n    del messages, info\n    yield \"Hello from the Harness\"\n\n\nasync def main() -> None:\n    executable = HarnessBuilder().build(\n        AgentSpec(),\n        output_type=str,\n        model=FunctionModel(stream_function=respond),\n    )\n\n    result = await executable.run(\"Say hello\")\n    print(result.output_or_raise())\n\n\nif __name__ == \"__main__\":\n    asyncio.run(main())\nEOF\n<host-path> app.py; echo EXIT=$?",
    "cd <host-path> && mkdir -p .coldpass && cat > .coldpass/probe.json <<'EOF'\n{\"kind\":\"cli\",\"argv\":[\"<host-path>\",\"app.py\"],\"cwd\":\"<host-path>\"}\nEOF\ncat > .coldpass/report.json <<'EOF'\n{\"outcome\":\"working\",\"operation\":\"Run the offline Harness quickstart Agent (docs/a13n-harness/getting-started.md, 'Run an offline Agent') and confirm it prints 'Hello from the Harness'.\",\"operation_scope\":\"Offline only: uses Pydantic AI FunctionModel, no model provider key needed. Model-backed runs, Docker Compose Service, Harness UI and browser (CDP) paths were not exercised.\",\"steps\":[\"curl -LsSf https://astral.sh/uv/install.sh | sh (uv 0.13.1 installed; uv needed for the quickstart)\",\"uv sync --locked --package a13n-harness (succeeded; installed Python 3.13 venv in <host-path>)\",\"Created <host-path> with the quickstart contents and ran <host-path> app.py (exit 0, printed 'Hello from the Harness')\"],\"deviations\":[\"Guest had Python 3.12.3 only; uv sync provided the required Python 3.13 per .python-version.\",\"uv was not installed; installed it with the official install script (the quickstart links to uv but has no install command).\"],\"stuck_step\":null,\"main_blocker\":null,\"suggested_fix\":null}\nEOF\n<env-var>=<host-path> python3 -I <host-path> --validate; echo EXIT=$?",
    "cd <host-path> && sed -n 1,60p examples/README.md; ls examples; ls .venv/bin | grep -i -E \"harness|a13n\"",
    "export PATH=$HOME/.local/bin:$PATH; cd <host-path> && uv sync --locked 2>&1 | tail -3; echo SYNC=$?; ls -d .venv/bin/agent-app-example && timeout 240 .venv/bin/agent-app-example \"first turn\" \"second turn\"; echo EXIT=$?",
    "cd <host-path> && rm -rf <host-path> && cat > .coldpass/probe.json <<'EOF'\n{\"kind\":\"cli\",\"argv\":[\"<host-path>\",\"first turn\",\"second turn\"],\"cwd\":\"<host-path>\"}\nEOF\ncat > .coldpass/report.json <<'EOF'\n{\"outcome\":\"working\",\"operation\":\"Run the offline agent-app example CLI from examples/agent-app/README.md with two turns: 'uv run agent-app-example \\\"first turn\\\" \\\"second turn\\\"'. Both turns returned assistant replies and the process exited 0.\",\"operation_scope\":\"Offline only: the example uses a deterministic model, no provider key needed. Model-backed runs, Docker Compose Service, Harness UI, MCP and browser (CDP) paths were not exercised. The example's own pytest suite was not run (smoke scope).\",\"steps\":[\"curl -LsSf https://astral.sh/uv/install.sh | sh (uv 0.13.1)\",\"uv sync --locked --package a13n-harness (repo root, Python 3.13 venv)\",\"cd examples/agent-app && uv sync --locked\",\"cd examples/agent-app && .venv/bin/agent-app-example \\\"first turn\\\" \\\"second turn\\\" (exit 0)\"],\"deviations\":[\"Guest had Python 3.12.3 only; uv provided Python 3.13 per .python-version.\",\"uv was not installed; installed with the official install script.\",\"Quickstart app.py attempt was rejected by checker as agent-written code; switched to the shipped agent-app example command.\",\"Did not run the root quickstart app.py as the probe; it ran successfully as a check before the switch, then the scratch file was removed.\"],\"stuck_step\":null,\"main_blocker\":null,\"suggested_fix\":null}\nEOF\n<env-var>=<host-path> python3 -I <host-path> --validate; echo EXIT=$?"
  ],
  "platform_conflicts": null,
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  "repo": "converge-ai-labs/agent-foundation",
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  "operation_scope": "product operation",
  "reasoning": "low",
  "claims": [],
  "platform": "linux",
  "cost_to_try": null,
  "backend": null,
  "tool_transport": "mcp-assigned-vm",
  "hardware": null,
  "agent_interface": null,
  "profile": {
    "model": "claude-haiku-5-5",
    "reasoning": "low"
  },
  "date": "2026-10-18T15:46:35.746451+00:00",
  "kind": "repo",
  "resources": {
    "cpus": 2,
    "memory_mib": 4096,
    "disk_mib": 32768
  },
  "error_excerpt": null,
  "pass": true,
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  "run_id": "converge-ai-labs--agent-foundation-claude-haiku-5-5-1792338302371165187",
  "last_release_at": null,
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  "model": "claude-haiku-5-5",
  "what_it_did": "Run the offline agent-app example CLI from examples/agent-app/README.md with two turns: 'uv run agent-app-example \"first turn\" \"second turn\"'. Both turns returned assistant replies and the process exited 0.",
  "sandbox_source": null,
  "other_run_id": null,
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  "test_version": "readme-03aea4c41d53955e3723c330e9927d2a9df627f6642624cc0078a97c73a53c8a",
  "recovery": {
    "source": "legacy-oct16-18",
    "original_run_id": "converge-ai-labs--agent-foundation-claude-haiku-5-5-1792338302371165187",
    "historical": true,
    "ledger_sha256": "c5e6a833c182c1e2aecf69d0bd0020aec63c65d98f3e933e4b32232340312736"
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  "transcript_url": "/transcripts/converge-ai-labs--agent-foundation-claude-haiku-5-5-1792338302371165187.txt",
  "report_url": "/reports/converge-ai-labs--agent-foundation-claude-haiku-5-5-1792338302371165187.json"
}