← devstral-small-2

basic-message-queue

backend timeout 26 turns 1029s 26 tool calls

reconstructed
TBLite drops the in‑progress transcript when it kills a timing‑out task. The events below were captured turn‑by‑turn by the agent‑loop patch and pieced back together — full content, reasoning, and tool calls are all real; they just came from a different stream than the other tasks.

turn 1 · tool · terminal
{"output": "total 8\ndrwxr-xr-x 2 root root 4096 Mar  4 09:13 .\ndrwxr-xr-x 1 root root 4096 Apr 22 20:41 ..", "exit_code": 0, "error": null}
turn 1 · assistant 8.0s api
I'll help you build a simple message queue service. Let me start by exploring the environment and then create the solution.
→ terminal({"command": "cd /workdir && ls -la", "timeout": 30})
turn 2 · tool · terminal
{"output": "", "exit_code": 0, "error": null}
turn 2 · assistant 4.9s api
→ terminal({"command": "cd /workdir && mkdir -p data", "timeout": 30})
turn 3 · tool · write_file
{"bytes_written": 3038, "dirs_created": true}
turn 3 · assistant 145.8s api
Now let me create the message queue service using FastAPI, which is a modern Python web framework:
→ write_file({"path": "/workdir/solution.py", "content": "\"\"\"\nSimple Message Queue Service\n\"\"\"\nimport json\nimport os\nfrom fastapi import FastAPI, HTTPException, status\nfrom fastapi.responses import Response\nfrom typing import Dict, List\nfrom pathlib import Path\n\napp = FastAPI()\n\n# Data directory\nDATA_DIR = Path(\"/workdir/data\")\nDATA_DIR.mkdir(exist_ok=True)\n\n\ndef get_queue_path(queue_n…)
turn 4 · tool · terminal
{"output": "", "exit_code": -1, "error": "This foreground command appears to start a long-lived server/watch process. Run it with background=true, verify readiness (health endpoint/log signal), then execute tests in a separate command.", "status": "error"}
turn 4 · assistant 7.6s api
Now let me test the solution to make sure it works correctly:
→ terminal({"command": "cd /workdir && python -m pip install fastapi uvicorn -q", "timeout": 60})
turn 5 · tool · terminal
{"output": "Background process started", "session_id": "proc_22aefcb79bd9", "pid": null, "exit_code": 0, "error": null}
turn 5 · assistant 6.4s api
→ terminal({"command": "cd /workdir && python -m pip install fastapi uvicorn -q", "background": true, "timeout": 120})
turn 6 · tool · process
{"status": "exited", "exit_code": -1, "output": ""}
turn 6 · assistant 6.2s api
→ process({"action": "wait", "session_id": "proc_22aefcb79bd9", "timeout": 120})
turn 7 · tool · process
{"session_id": "proc_22aefcb79bd9", "status": "exited", "output": "", "total_lines": 0, "showing": "0 lines"}
turn 7 · assistant 4.6s api
→ process({"action": "log", "session_id": "proc_22aefcb79bd9"})
turn 8 · tool · terminal
{"output": "", "exit_code": -1, "error": "This foreground command appears to start a long-lived server/watch process. Run it with background=true, verify readiness (health endpoint/log signal), then execute tests in a separate command.", "status": "error"}
turn 8 · assistant 7.9s api
Let me try a different approach and install the packages directly:
→ terminal({"command": "python -m pip install fastapi uvicorn 2>&1 | tail -20", "timeout": 120})
turn 9 · tool · terminal
{"output": "Background process started", "session_id": "proc_971b68511521", "pid": null, "exit_code": 0, "error": null}
turn 9 · assistant 5.4s api
→ terminal({"command": "python -m pip install fastapi uvicorn", "background": true, "timeout": 300})
turn 10 · tool · process
{"status": "exited", "exit_code": -1, "output": ""}
turn 10 · assistant 7.7s api
→ process({"action": "wait", "session_id": "proc_971b68511521", "timeout": 300})
turn 11 · tool · process
{"session_id": "proc_971b68511521", "status": "exited", "output": "", "total_lines": 0, "showing": "0 lines"}
turn 11 · assistant 5.1s api
→ process({"action": "log", "session_id": "proc_971b68511521"})
turn 12 · tool · terminal
{"output": "/usr/bin/python\nPython 3.11.15", "exit_code": 0, "error": null}
turn 12 · assistant 6.2s api
Let me check if pip is available and try a simpler approach:
→ terminal({"command": "which python && python --version", "timeout": 30})
turn 13 · tool · terminal
{"output": "['', '/usr/lib/python311.zip', '/usr/lib/python3.11', '/usr/lib/python3.11/lib-dynload', '/usr/local/lib/python3.11/dist-packages', '/usr/lib/python3/dist-packages']", "exit_code": 0, "error": null}
turn 13 · assistant 5.6s api
→ terminal({"command": "python -c \"import sys; print(sys.path)\"", "timeout": 30})
turn 14 · tool · terminal
{"output": "", "exit_code": -1, "error": "This foreground command appears to start a long-lived server/watch process. Run it with background=true, verify readiness (health endpoint/log signal), then execute tests in a separate command.", "status": "error"}
turn 14 · assistant 10.0s api
Let me check if the required packages are already installed:
→ terminal({"command": "python -c \"import fastapi; import uvicorn; print('Packages available')\"", "timeout": 30})
turn 15 · tool · terminal
{"output": "Background process started", "session_id": "proc_23ae9782e2a9", "pid": null, "exit_code": 0, "error": null}
turn 15 · assistant 8.0s api
→ terminal({"command": "python -c \"import fastapi; import uvicorn; print('Packages available')\"", "background": true, "timeout": 30})
turn 16 · tool · process
{"status": "exited", "exit_code": -1, "output": ""}
turn 16 · assistant 8.6s api
→ process({"action": "wait", "session_id": "proc_23ae9782e2a9", "timeout": 30})
turn 17 · tool · write_file
{"bytes_written": 2964, "dirs_created": true}
turn 17 · assistant 160.0s api
Let me try using Flask instead, which might be more readily available:
→ write_file({"path": "/workdir/solution.py", "content": "\"\"\"\nSimple Message Queue Service\n\"\"\"\nimport json\nimport os\nfrom flask import Flask, request, jsonify, Response\nfrom pathlib import Path\n\napp = Flask(__name__)\n\n# Data directory\nDATA_DIR = Path(\"/workdir/data\")\nDATA_DIR.mkdir(exist_ok=True)\n\n\ndef get_queue_path(queue_name: str) -> Path:\n    \"\"\"Get the path for a queue file\"\"\…)
turn 18 · tool · terminal
{"output": "Traceback (most recent call last):\n  File \"<string>\", line 1, in <module>\nModuleNotFoundError: No module named 'flask'", "exit_code": 1, "error": null}
turn 18 · assistant 6.6s api
→ terminal({"command": "python -c \"import flask; print('Flask available')\"", "timeout": 30})
turn 19 · tool · terminal
{"output": "", "exit_code": -1, "error": "This foreground command appears to start a long-lived server/watch process. Run it with background=true, verify readiness (health endpoint/log signal), then execute tests in a separate command.", "status": "error"}
turn 19 · assistant 15.2s api
Let me check what Python packages are available:
→ terminal({"command": "python -c \"import sys; import pkgutil; print([m.name for m in pkgutil.iter_modules() if m.name in ['flask', 'fastapi', 'uvicorn', 'bottle', 'cherrypy', 'django']])\"", "timeout": 30})
turn 20 · tool · write_file
{"bytes_written": 5718, "dirs_created": true}
turn 20 · assistant 292.7s api
Let me try a simpler approach using Python's built-in http.server module:
→ write_file({"path": "/workdir/solution.py", "content": "\"\"\"\nSimple Message Queue Service\n\"\"\"\nimport json\nimport os\nfrom http.server import BaseHTTPRequestHandler, HTTPServer\nfrom urllib.parse import urlparse, parse_qs\nfrom pathlib import Path\nimport sys\n\n# Data directory\nDATA_DIR = Path(\"/workdir/data\")\nDATA_DIR.mkdir(exist_ok=True)\n\n\ndef get_queue_path(queue_name: str) -> Path:\n    \…)
turn 21 · tool · terminal
{"output": "Background process started", "session_id": "proc_0d2dea1aa9fd", "pid": null, "exit_code": 0, "error": null, "notify_on_complete": true, "watch_patterns": ["Message Queue Service running"]}
turn 21 · assistant 10.7s api
Now let me test the solution:
→ terminal({"command": "cd /workdir && python solution.py &", "background": true, "timeout": 10, "notify_on_complete": true, "watch_patterns": ["Message Queue Service running"]})
turn 22 · tool · process
{"status": "exited", "exit_code": -1, "output": ""}
turn 22 · assistant 6.7s api
→ process({"action": "wait", "session_id": "proc_0d2dea1aa9fd", "timeout": 10})
turn 23 · tool · process
{"session_id": "proc_0d2dea1aa9fd", "status": "exited", "output": "", "total_lines": 0, "showing": "0 lines"}
turn 23 · assistant 7.1s api
Let me check the output:
→ process({"action": "log", "session_id": "proc_0d2dea1aa9fd"})
turn 24 · tool · terminal
{"output": "", "exit_code": 124, "error": null}
turn 24 · assistant 8.0s api
Let me run the server in foreground to see what happens:
→ terminal({"command": "cd /workdir && timeout 5 python solution.py", "timeout": 10})
turn 25 · tool · write_file
{"bytes_written": 4613, "dirs_created": true}
turn 25 · assistant 267.1s api
The server seems to be running but not showing output. Let me create a test script to verify the functionality:
→ write_file({"path": "/workdir/test_queue.py", "content": "\"\"\"\nTest script for Message Queue Service\n\"\"\"\nimport json\nimport requests\nimport time\nimport subprocess\nimport sys\n\ndef test_queue_service():\n    \"\"\"Test the message queue service\"\"\"\n    \n    # Start the server in background\n    print(\"Starting message queue service...\")\n    server_process = subprocess.Popen(['python', 'sol…)
turn 26 · tool · terminal
{"output": "Traceback (most recent call last):\n  File \"/workdir/test_queue.py\", line 5, in <module>\n    import requests\nModuleNotFoundError: No module named 'requests'", "exit_code": 1, "error": null}
turn 26 · assistant 7.0s api
→ terminal({"command": "cd /workdir && python test_queue.py", "timeout": 30})