{"run": {"rewrites": 0, "run_command": "set -euo pipefail\n: \"${TASK:?TASK must contain the task text}\"\nH=\"${HARNESS_HOME:-/opt/harness}\"\nHPY=\"$H/venv/bin/python\"\nOUT=\"${OUT_DIR:-/out}\"\nmkdir -p \"$OUT\" 2>/dev/null || { OUT=/tmp/out; mkdir -p \"$OUT\"; }\nSTATE=\"${OPENHANDS_STATE_DIR:-/tmp/openhands-harness}\"\nPORT=\"${OPENHANDS_AGENT_SERVER_PORT:-18000}\"\nexport OH_SESSION_API_KEYS_0=\"${OH_SESSION_API_KEYS_0:-$(\"$HPY\" -c 'import secrets;print(secrets.token_hex(16))')}\"\nexport OH_PERSISTENCE_DIR=\"$STATE\" OH_CONVERSATIONS_PATH=\"$OUT/conversations\" OH_BASH_EVENTS_DIR=\"$STATE/bash_events\"\nexport OH_WORKSPACE_PATH=\"$PWD\" OH_ENABLE_VSCODE=false OH_TELEMETRY_EXPORTER=none DO_NOT_TRACK=1\nexport OH_EXTRA_PYTHON_PATH=\"$H/src/tools\" LITELLM_LOCAL_MODEL_COST_MAP=True PYTHONUTF8=1\nexport HARNESS_PORT=\"$PORT\" HARNESS_OUT=\"$OUT\" HARNESS_WORKDIR=\"$PWD\" TMUX_TMPDIR=\"${TMUX_TMPDIR:-/tmp/openhands-tmux}\"\nmkdir -p \"$OH_CONVERSATIONS_PATH\" \"$OH_BASH_EVENTS_DIR\" \"$TMUX_TMPDIR\"\n# The agent-server runs `git init` in a non-git workspace (for its Changes tab); undo that side effect unless asked to keep it.\nHAD_GIT=0; [ -e .git ] && HAD_GIT=1\ncleanup() { kill \"$SERVER_PID\" 2>/dev/null; wait \"$SERVER_PID\" 2>/dev/null || true; [ \"$HAD_GIT\" = 1 ] || [ \"${HARNESS_KEEP_GIT:-0}\" = 1 ] || rm -rf .git; }\n\"$H/venv/bin/agent-server\" --host 127.0.0.1 --port \"$PORT\" --import-modules canvas_ui_tool >\"$OUT/agent-server.log\" 2>&1 &\nSERVER_PID=$!\ntrap cleanup EXIT\n\"$HPY\" - \"$TASK\" <<'PY'\nimport json, os, sys, time, urllib.request, urllib.error\ntask = sys.argv[1]\nbase = f\"http://127.0.0.1:{os.environ['HARNESS_PORT']}\"\nout = os.environ[\"HARNESS_OUT\"]\nhdr = {\"X-Session-API-Key\": os.environ[\"OH_SESSION_API_KEYS_0\"], \"Content-Type\": \"application/json\"}\ndef call(method, path, body=None):\n    data = json.dumps(body).encode() if body is not None else None\n    req = urllib.request.Request(base + path, data=data, method=method, headers=hdr)\n    try:\n        with urllib.request.urlopen(req, timeout=60) as r:\n            return json.loads(r.read() or b\"null\")\n    except urllib.error.HTTPError as e:\n        raise RuntimeError(f\"{method} {path} -> HTTP {e.code}: {e.read()[:2000].decode(errors='replace')}\") from None\nt0 = time.time()\nwhile True:\n    try:\n        call(\"GET\", \"/health\"); break\n    except Exception as e:\n        if time.time() - t0 > 180: sys.exit(f\"agent-server did not start: {e}\")\n        time.sleep(1)\nllm = {\"model\": os.environ.get(\"LLM_MODEL\", \"openai/gpt-4.1\"),\n       \"api_key\": os.environ.get(\"LLM_API_KEY\", \"proxy\"),\n       \"base_url\": os.environ.get(\"LLM_BASE_URL\") or None,\n       \"api_mode\": \"chat\", \"native_tool_calling\": True}\nreq = {\"agent_settings\": {\"agent_kind\": \"openhands\", \"llm\": llm, \"enable_switch_llm_tool\": False},\n       \"workspace\": {\"kind\": \"LocalWorkspace\", \"working_dir\": os.environ[\"HARNESS_WORKDIR\"]},\n       \"worktree\": False, \"autotitle\": False, \"stuck_detection\": True,\n       \"confirmation_policy\": {\"kind\": \"NeverConfirm\"},\n       \"max_iterations\": int(os.environ.get(\"HARNESS_MAX_ITERATIONS\", \"200\")),\n       \"initial_message\": {\"role\": \"user\", \"content\": [{\"type\": \"text\", \"text\": task}], \"run\": True}}\ninfo = call(\"POST\", \"/api/conversations\", req)\ncid = info[\"id\"]\nprint(f\"[harness] conversation {cid} started in {os.environ['HARNESS_WORKDIR']}\", flush=True)\ndeadline = time.time() + float(os.environ.get(\"HARNESS_TIMEOUT_SECONDS\", \"3600\"))\nseen_running, last, started = False, None, time.time()\nwhile True:\n    info = call(\"GET\", f\"/api/conversations/{cid}\")\n    st = info.get(\"execution_status\")\n    if st != last:\n        print(f\"[harness] status: {st}\", flush=True); last = st\n    if st == \"running\": seen_running = True\n    if st in (\"finished\", \"error\", \"stuck\", \"paused\") or (st == \"idle\" and (seen_running or time.time() - started > 300)):\n        break\n    if time.time() > deadline:\n        print(\"[harness] timeout; pausing conversation\", flush=True)\n        try: call(\"POST\", f\"/api/conversations/{cid}/pause\")\n        except Exception: pass\n        st = \"timeout\"; break\n    time.sleep(2)\nevents, page = [], None\nwhile True:\n    q = \"?limit=100\" + (f\"&page_id={page}\" if page else \"\")\n    pg = call(\"GET\", f\"/api/conversations/{cid}/events/search{q}\")\n    events += pg.get(\"items\", []); page = pg.get(\"next_page_id\")\n    if not page: break\njson.dump(events, open(os.path.join(out, \"trajectory.json\"), \"w\"), indent=1)\njson.dump(info, open(os.path.join(out, \"conversation.json\"), \"w\"), indent=1, default=str)\nfinal = \"\"\nfor ev in events:\n    if ev.get(\"kind\") == \"MessageEvent\" and ev.get(\"source\") == \"agent\":\n        final = \"\".join(c.get(\"text\", \"\") for c in ev.get(\"llm_message\", {}).get(\"content\", []))\n    elif ev.get(\"kind\") == \"ActionEvent\" and ev.get(\"action\", {}).get(\"kind\") == \"FinishAction\":\n        final = ev[\"action\"].get(\"message\", final)\nprint(f\"[harness] final status={st} events={len(events)}\\n{final}\", flush=True)\nsys.exit(0 if st in (\"finished\", \"idle\") else 1)\nPY", "task": {"name": "python-12", "taskset": "humanevalfix", "taskset_dir": "/opt/harbor-tasks/datasets/humanevalfix"}, "reward": 1, "tests": {"summary": "1 passed", "total": 1, "passed": 1, "failed": 0, "agent_written": 0, "failed_names": []}, "status": "done", "routes": null, "verifier_rc": 0, "seconds": 40, "kind": "harbor", "files": ["agent", "agent-server.log", "calls.jsonl", "command.sh", "conversation.json", "conversations", "proxy.log", "recipe.json", "run.json", "stderr.log", "stdout.log", "task.txt", "trajectory.json", "verifier"], "egress": {"tls_failed": 0, "blocked": 0, "connections": 0, "verify_phase": 0, "hosts": []}, "output_tokens": 1786, "errors": 0, "models": [{"calls": 9, "requested": "gpt-4.1", "served": "us.anthropic.claude-haiku-4-5-20251001-v1:0"}], "prompt": null, "model": "bedrock/us.anthropic.claude-haiku-4-5-20251001-v1:0", "calls": 9, "flags": {}, "harness": {"name": "openhands-openhands", "commit": "7dc6805406ea3c76cb4a3ce407c3c72d481b0ac6", "api_style": "openai", "repo": "https://github.com/OpenHands/OpenHands"}, "run": "20260925T090253-openhands-op-python-12", "started": "2026-09-25T16:09:04", "finished": "2026-09-25T16:09:49", "rc": 0, "workdir": "/workspace", "interception": {"block_urls": [], "egress": "record", "policy": "flag"}, "provenance": {"proxy": {"commit": null, "sha256": "d0e3bd0bc2f4c74d", "modified": true}, "emulated": false, "overlay_image": {"tag": "hr-openhands-openhands/humanevalfix:python-12", "id": "sha256:e86677593e28f4578a21a0b646f00d3924b670c90b2ab79afa7d3e16f88e206e"}, "recipe": {"commit": "7dc6805406ea3c76cb4a3ce407c3c72d481b0ac6", "changed_vs_previous": false, "seeded_from": "5ddcd7276ca869ebf4e3e7f9e98bd36080c6b9c2", "analyzed_now": true, "file": "recipes/openhands-openhands@7dc6805406ea3c76cb4a3ce407c3c72d481b0ac6.json", "sha256": "c4950bc00b375af6"}, "host_platform": "linux/amd64", "platform": "linux/amd64", "docker": "29.8.1", "task_image": {"tag": "hr-task/humanevalfix:python-12", "id": "sha256:972914c231b73b93b647d9a6605cb31f8822475d3e79c9281c6ac31d69aaf055"}}, "input_tokens": 81736, "last_action": "file_editor: view", "has_run_json": true}}