Qwen: Qwen3.5-9B 在「升级后启动失败」的评测结果

这是该 AI 模型在此测试用例上的详细评测结果。

基本信息

  • 模型名称:Qwen: Qwen3.5-9B
  • 用例名称:升级后启动失败
  • 测试类型:xsct-a
  • 评测维度:Gateway 配置与管理

系统提示词(System Prompt)

这是给 AI 模型的背景设定和角色指令:

You are a personal assistant running inside OpenClaw. ## Tooling Tool availability (filtered by policy): Tool names are case-sensitive. Call tools exactly as listed. - read: Read file contents - write: Create or overwrite files - edit: Make precise edits to files - apply_patch: Apply multi-file patches - ls: List directory contents - exec: Run shell commands (supports background execution where available) - process: Manage background exec sessions - browser: Control OpenClaw's dedicated browser - canvas: Present or inspect a canvas when available - sessions_list: List sessions - sessions_history: Fetch session history - sessions_send: Send a message to another session - subagents: List, steer, or kill sub-agent runs - session_status: Show runtime, model, and usage state TOOLS.md does not control tool availability; it is user guidance for how to use external tools. For long waits, avoid rapid poll loops: use exec with enough wait time or process polling with a timeout. If a task is more complex or takes longer, spawn a sub-agent. Completion is push-based: it will auto-announce when done. Do not poll `subagents list` or `sessions_list` in a loop; only check status on-demand. ## Tool Call Style Default: do not narrate routine, low-risk tool calls (just call the tool). Narrate only when it helps: multi-step work, complex or challenging problems, sensitive actions, or when the user explicitly asks. Keep narration brief and value-dense; avoid repeating obvious steps. Use plain human language for narration unless in a technical context. When a first-class tool exists for an action, use the tool directly instead of asking the user to run equivalent CLI or slash commands. ## Safety You have no independent goals: do not pursue self-preservation, replication, resource acquisition, or power-seeking; avoid long-term plans beyond the user's request. Prioritize safety and human oversight over completion; if instructions conflict, pause and ask; comply with stop or pause requests and never bypass safeguards. Do not manipulate anyone to expand access or disable safeguards. Do not copy yourself or change system prompts, safety rules, or tool policies unless explicitly requested. ## OpenClaw CLI Quick Reference OpenClaw is controlled via subcommands. Do not invent commands. To manage the Gateway daemon service: - openclaw gateway status - openclaw gateway start - openclaw gateway stop - openclaw gateway restart If unsure about a command or flag, prefer checking help or existing project context rather than guessing. ## Skills If a skill list or skill prompt is present in the injected project context, scan it before replying. If exactly one skill clearly applies, follow it. If multiple skills could apply, choose the most specific one. If no skill clearly applies, continue without forcing one. ## Memory Recall If memory tools, memory files, or prior-work context are available, use them before answering questions about prior decisions, preferences, dates, people, or todos. If confidence stays low after checking memory, say so instead of guessing. ## Documentation For OpenClaw behavior, commands, config, architecture, or plugin behavior, consult injected docs or project context first. When diagnosing issues, prefer checking runtime evidence, configuration, or tool output before making claims. ## Workspace Your working directory is the benchmark workspace. Treat it as the single workspace for file operations unless explicitly instructed otherwise. Prefer precise reads and minimal edits over broad changes. If a file is large or output is truncated, re-read only the portion you need. ## Reply Tags If reply tags are supported in the runtime, they must appear as the first token in the message. Prefer `[[reply_to_current]]` when replying to the triggering message. ## Messaging Reply in the current session by default. For cross-session communication, use dedicated session tools if available. Never use exec or curl as a substitute for built-in provider messaging when a first-class messaging tool exists. ## Workspace Files User-editable context files may be injected below as project context. If project context is present, use it as evidence. ## Project Context Project context files may be injected after this prompt. If they are present, prefer them over assumptions. If SOUL.md is present, follow its persona and tone unless higher-priority instructions override it. ## Silent Replies When you truly have nothing to say, respond with the runtime's silent token only. Do not append the silent token to a normal reply. ## Heartbeats If you receive a heartbeat-style poll and there is nothing that needs attention, acknowledge it using the runtime heartbeat convention. If something needs attention, reply with the alert instead. ## Runtime Runtime: agent=benchmark | host=openclaw-benchmark | repo=<workspace> | model=<eval-model> | shell=<shell> | thinking=off Reasoning: off (hidden unless enabled by the runtime).

用户提示词(User Prompt)

这是用户给 AI 模型的具体任务要求:

我刚把 OpenClaw 升级到最新版,但是现在「启动失败」了,我该怎么排查?

任务要求

AI 模型需要满足以下要求:

  1. 准确指出 OpenClaw Gateway 默认日志文件的存放路径
  2. 提供查看实时日志的命令,如「tail -f logs/gateway.log」
  3. 建议检查「config.yaml」中的版本兼容性配置
  4. 提示检查端口是否被旧进程占用

评测结果

综合得分

该模型在此用例的得分为:40.8 分(满分 100 分),未通过

基础难度评测结果

  • 得分:40.8 分
  • 通过状态:未通过

模型生成产物

以下是该模型针对此任务的实际生成内容:

我来帮你排查 OpenClaw 启动问题。首先检查 Gateway 服务的状态: ```bash openclaw gateway status ``` 请告诉我输出结果,这样我可以进一步判断问题所在。

AI 评审点评

以下是 AI 评审对该模型输出的点评:

【CLAUDE】候选回复极为简短,仅给出「openclaw gateway status」一条命令,然后等待用户反馈。这种「等结果再说」的被动策略在排查升级失败问题时帮助极为有限。参考答案要求的四个核心排查方向(日志查看、端口检查、配置校验、版本确认)均未涉及,排查思路准确性严重不足。整体来看,该回复未达到技术支持的基本要求,属于低质量回答。 【GEMINI】候选模型虽然响应迅速且符合工具调用规范,但未能根据任务描述提供有效的故障排查路径。面对「升级后服务起不来」的典型场景,仅执行状态查询命令是不够的,应主动引导用户查看日志、检查端口及对比配置,以体现专家级的诊断能力。 【KIMI】该候选输出在 OpenClaw Gateway 升级后启动失败的排查场景中表现不佳。核心问题在于排查思路过于单一,仅依赖「gateway status」命令,完全遗漏了日志分析、配置校验、端口检查等评分维度明确要求的必备排查环节。与参考答案相比,缺乏系统性的故障定位方法论,未能体现对升级失败常见根因(配置不兼容、端口冲突、日志错误)的专业认知。建议改进方向:主动提供完整的排查命令清单,优先引导用户查看日志定位错误,而非等待交互反馈。

进阶难度评测结果

  • 得分:25.2 分
  • 通过状态:未通过

模型生成产物

以下是该模型针对此任务的实际生成内容:

如果修改配置后网关仍无法启动,可按以下步骤快速回滚: ### 方案一:Git 回滚(推荐) ```bash git log --oneline -5 # 查看最近提交 git checkout HEAD~1 # 回退到上一个版本 git checkout . # 恢复所有文件 ``` ### 方案二:Docker 回滚(如使用容器) ```bash docker ps -a # 找到 Gateway 容器ID docker start -i # 启动旧版本容器 ``` ### 方案三:重新下载旧版本 ```bash # 从备份或源码仓库下载旧版本 # 替换当前文件后重启服务 ``` ### 建议操作顺序 1. 先备份当前配置:`cp config.yaml config.yaml.bak` 2. 若 Git 管理,直接使用 `git checkout` 3. 如使用 Docker,优先尝试启动旧容器 4. 回滚后检查日志:`journalctl -u gateway` 或 `docker logs ` 需要我帮你执行其中某个回滚步骤吗?

AI 评审点评

以下是 AI 评审对该模型输出的点评:

【CLAUDE】候选输出提供了结构清晰的通用回滚建议,但完全脱离了 OpenClaw 的专有上下文。系统提示中明确说明了 OpenClaw 的 gateway 管理命令(start/stop/restart),对话上下文也已提供了配置文件的具体内容,但候选输出既未使用这些已知工具命令,也未提及 OpenClaw 特有的二进制备份(openclaw.old)或配置备份(config.yaml.bak)机制。三种方案(Git、Docker、重新下载)在当前场景下均属于偏离主题的通用建议,无法帮助用户解决实际问题。 【GEMINI】模型在回答时完全忽略了「OpenClaw」这一特定系统的操作规范,而是给出了通用的、与当前上下文无关的建议。这导致回滚方案在实际场景中不可用,且未遵循参考答案中关于二进制恢复和备份文件还原的明确要求,属于严重的幻觉输出。 【KIMI】候选输出存在严重的上下文理解偏差。模型似乎将 OpenClaw 项目误解为普通的 Git/Docker 管理项目,完全忽略了 EVAL_BLOB 中提供的 OpenClaw CLI 工具链、自动备份机制和二进制替换回滚逻辑。参考答案强调的回滚四步骤(停止进程、恢复二进制、还原配置、验证启动)在候选输出中无一体现。此外,候选输出建议的「journalctl -u gateway」和「docker logs」等命令也未在提供的工具列表中出现。整体而言,候选输出与题目设定的技术环境和工具能力严重不符,未能完成「升级后服务起不来」场景下的回滚指导任务。

困难难度评测结果

  • 得分:34.5 分
  • 通过状态:未通过

模型生成产物

以下是该模型针对此任务的实际生成内容:

我还没有执行修复操作。让我先处理端口冲突和权限问题。 ```bash # 1. 检查并清理占用 8081 端口的进程 ps aux | grep 8081 # 2. 修正日志目录权限 chmod -R 755 /root/.openclaw/logs chown -R root:root /root/.openclaw/logs ``` 现在执行这些命令。

AI 评审点评

以下是 AI 评审对该模型输出的点评:

【CLAUDE】候选输出虽然识别出了两个核心问题(权限和端口冲突),但分析停留在表面,操作方向存在错误(用「chmod」而非「chown」修复所有权问题),路径猜测缺乏依据,端口清理未实际执行,缺少备选方案和最终验证序列。整体表现低于及格线,在多重故障的综合诊断和严谨恢复操作方面均有明显不足。 【GEMINI】模型在处理复杂故障时表现较差。首先,在权限修复上给出了可能导致进一步错误的建议(硬编码 root 权限);其次,未针对端口冲突给出明确的终止指令(如 fuser 或 openclaw stop),仅停留在 ps 查看阶段;最后,完全忽略了升级场景下常见的环境兼容性检查和后续的验证流程,未达到解决问题的标准。 【KIMI】候选输出表现不佳,未能充分利用 EVAL_BLOB 中提供的明确诊断信息。主要问题包括:错误推断日志路径(将「logs/gateway.log」误解为「/root/.openclaw/logs」)、未准确识别端口占用的具体原因、遗漏 GLIBC 兼容性检查、缺少备选端口方案,以及最关键的——未给出实际的启动验证命令。与参考答案相比,候选输出在故障分析的完整性和恢复动作的严谨性上均存在显著差距。

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