{"run": {"run_command": "set -euo pipefail\nexport OUT=/out\nmkdir -p \"$OUT\"\n/opt/harness/venv/bin/python -P - <<'PY'\nimport os, pathlib, sqlite3, uuid\ndb = os.environ[\"DATABASE_URL\"].removeprefix(\"sqlite:///\")\npathlib.Path(db).parent.mkdir(parents=True, exist_ok=True)\npathlib.Path(db).unlink(missing_ok=True)\ntask = os.environ.get(\"TASK\", \"\").strip() or \"(empty task)\"\ntitle = task.splitlines()[0][:200]\nurl = \"https://github.com/%s/%s/issues/1\" % (os.environ[\"REPO_OWNER\"], os.environ[\"REPO_NAME\"])\ncon = sqlite3.connect(db)\ncon.execute('CREATE TABLE \"open-issues\" (id CHAR(32) PRIMARY KEY, github_number INTEGER UNIQUE, title TEXT, original_question TEXT, body_summary TEXT, url TEXT, created_at TIMESTAMP, tags TEXT, embeddings TEXT)')\ncon.execute('INSERT INTO \"open-issues\" VALUES (?,?,?,?,?,?,?,?,?)', (uuid.uuid4().hex, 1, title, task, task, url, None, \"{}\", \"[\" + \",\".join([\"0\"] * 1024) + \"]\"))\ncon.commit()\ncon.close()\nPY\n/opt/harness/venv/bin/python -P - <<'PY'\nimport asyncio, json, os\nfrom agent.run import run_agent\nfinal = asyncio.run(run_agent(1))\nout = os.environ[\"OUT\"]\nwith open(os.path.join(out, \"docent_result.json\"), \"w\") as f:\n    json.dump({\"draft\": final[\"draft\"], \"research_brief\": final[\"research_brief\"], \"needs_escalation\": final[\"needs_escalation\"], \"tool_calls\": final[\"tool_calls\"]}, f, indent=2)\nwith open(os.path.join(out, \"docent_messages.json\"), \"w\") as f:\n    json.dump([m.model_dump() for m in final[\"messages\"]], f, indent=2, default=str)\nprint(final[\"draft\"])\nPY", "task": {"name": "polyglot_python_bowling", "taskset": "aider_polyglot", "taskset_dir": "/Users/aj/Desktop/harbor-tasks/datasets/aider_polyglot"}, "reward": 0, "tests": {"summary": "31 failed", "total": 31, "passed": 0, "failed": 31, "agent_written": 0, "failed_names": ["test_a_roll_cannot_score_more_than_10_points", "test_a_spare_followed_by_zeros_is_worth_ten_points", "test_a_spare_in_the_last_frame_gets_a_one_roll_bonus_that_is_counted_once", "test_a_strike_earns_ten_points_in_a_frame_with_a_single_roll", "test_a_strike_in_the_last_frame_gets_a_two_roll_bonus_that_is_counted_once", "test_a_strike_with_the_one_roll_bonus_after_a_spare_in_the_last_frame_does_not_get_a_bonus", "test_all_strikes_is_a_perfect_game", "test_an_incomplete_game_cannot_be_scored", "test_an_unstarted_game_cannot_be_scored", "test_bonus_roll_after_a_strike_in_the_last_frame_cannot_score_more_than_10_points", "test_bonus_roll_for_a_spare_in_the_last_frame_must_be_rolled_before_score_can_be_calculated", "test_bonus_rolls_for_a_strike_in_the_last_frame_must_be_rolled_before_score_can_be_calculated", "test_both_bonus_rolls_for_a_strike_in_the_last_frame_must_be_rolled_before_score_can_be_calculated", "test_cannot_roll_after_bonus_roll_for_spare", "test_cannot_roll_after_bonus_rolls_for_strike", "test_cannot_roll_if_game_already_has_ten_frames", "test_consecutive_spares_each_get_a_one_roll_bonus", "test_consecutive_strikes_each_get_the_two_roll_bonus", "test_last_two_strikes_followed_by_only_last_bonus_with_non_strike_points", "test_points_scored_in_the_roll_after_a_spare_are_counted_twice", "test_points_scored_in_the_two_rolls_after_a_strike_are_counted_twice_as_a_bonus", "test_rolling_a_spare_with_the_two_roll_bonus_does_not_get_a_bonus_roll", "test_rolls_cannot_score_negative_points", "test_second_bonus_roll_after_a_strike_in_the_last_frame_cannot_score_more_than_10_points", "test_should_be_able_to_score_a_game_with_all_zeros", "test_should_be_able_to_score_a_game_with_no_strikes_or_spares", "test_strikes_with_the_two_roll_bonus_do_not_get_bonus_rolls", "test_the_second_bonus_rolls_after_a_strike_in_the_last_frame_cannot_be_a_strike_if_the_first_one_is_not_a_strike", "test_two_bonus_rolls_after_a_strike_in_the_last_frame_can_score_more_than_10_points_if_one_is_a_strike", "test_two_bonus_rolls_after_a_strike_in_the_last_frame_cannot_score_more_than_10_points", "test_two_rolls_in_a_frame_cannot_score_more_than_10_points"]}, "status": "done", "verifier_rc": 0, "seconds": 15, "kind": "harbor", "files": ["agent", "calls.jsonl", "command.sh", "docent_messages.json", "docent_result.json", "proxy.log", "recipe.json", "run.json", "stderr.log", "stdout.log", "task.txt", "verifier"], "output_tokens": 1381, "errors": 0, "prompt": null, "model": "bedrock/us.anthropic.claude-haiku-4-5-20251001-v1:0", "calls": 3, "harness": {"name": "emanuelecz-docent", "commit": "33561785cc1915dad25a1759149caf56dc815925", "api_style": "anthropic", "repo": "https://github.com/emanuelecz/Docent"}, "run": "20260923T132057-emanuelecz-d-polyglot_python_bowling", "started": "2026-09-23T13:32:22", "finished": "2026-09-23T13:32:41", "rc": 0, "workdir": "/app", "input_tokens": 5872, "last_action": "ResearchBrief: {\"problem_restatement\": \"Issue #1 titled \\\"Instructions\\\" contains a complete bowling game scoring kata/exercise problem\u2026", "has_run_json": true}}