hunyuan-turbo 在「自定义端口后访问异常」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:hunyuan-turbo
  • 用例名称:自定义端口后访问异常
  • 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:

我把 OpenClaw Gateway 的端口改成 9090 了,但是访问不了,是不是还要重启什么东西?

任务要求

AI 模型需要满足以下要求:

  1. 明确指出需要重启「openclaw-gateway」服务或进程
  2. 提供修改后的访问地址示例,如「http://localhost:9090」
  3. 给出检查端口监听状态的命令,如「netstat」或「ss」

评测结果

综合得分

该模型在此用例的得分为:65.8 分(满分 100 分),已通过

基础难度评测结果

  • 得分:65.8 分
  • 通过状态:已通过

模型生成产物

以下是该模型针对此任务的实际生成内容:

是的,更改 OpenClaw Gateway 的端口后,通常需要重启 Gateway 服务以使更改生效。你可以使用以下命令来重启 Gateway: ```sh openclaw gateway restart ``` 执行这个命令后,Gateway 服务将会停止并重新启动,新的端口设置(9090)将会生效。 如果重启后仍然无法访问,可以检查以下几点: 1. **防火墙设置**:确保防火墙允许通过 9090 端口的流量。 2. **配置文件**:确认配置文件中端口设置正确,并且没有其他地方覆盖了这个设置。 3. **日志文件**:查看 Gateway 的日志文件,可能会提供一些关于为什么无法访问的线索。 你可以使用以下命令查看日志文件(假设日志文件路径为 `/var/log/openclaw/gateway.log`): ```sh tail -f /var/log/openclaw/gateway.log ``` 这将实时显示日志文件的内容,帮助你诊断问题。

AI 评审点评

以下是 AI 评审对该模型输出的点评:

【CLAUDE】模型抓住了「重启服务」这一核心动作,但未能完成「配置闭环」的完整闭合——既未提示用户更新客户端访问地址,也未提供端口监听验证命令。这两个缺失直接导致方案完整性得分偏低。表达上较为规范,但存在路径猜测等小瑕疵。整体回答对于普通用户有一定参考价值,但对于「补齐配置闭环」这一具体任务目标而言,覆盖度不足。 【GEMINI】模型能够识别重启服务的必要性并给出正确的操作指令,但在解决「客户端仍访问默认地址」这一核心问题上,未能引导用户同步更新客户端配置,导致方案未能形成完整的闭环。建议在后续回答中更全面地覆盖配置生效后的客户端侧同步操作。 【KIMI】模型回答抓住了重启服务这一核心动作,但未能完整覆盖题目要求的三个功能点:重启服务、提供新访问地址示例、给出端口监听检查命令。用户问题的本质是「配置闭环」,即服务端修改后客户端如何同步,模型未针对此给出明确的客户端配置指导,导致方案完整性不足。建议补充具体的访问地址示例和端口验证命令,以形成完整的配置生效闭环。

进阶难度评测结果

  • 得分:58.2 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:

您可以将「base_path」设置为空字符串,这样服务就会监听根路径。让我来修改配置文件。

AI 评审点评

以下是 AI 评审对该模型输出的点评:

【CLAUDE】模型生成结果过于简短且被截断,仅给出了修改方向但未完成完整的操作指导。关键缺失点包括:未提醒重启服务、未提供验证 URL、未给出重启命令,且建议的修改值(空字符串)与参考答案(「/」或删除该行)存在偏差。整体回答不完整,无法帮助用户完成配置闭环。 【GEMINI】模型逻辑清晰,能够快速定位问题根源。但在操作指导方面表现一般,未能提醒用户修改配置后必须重启服务以使配置生效,这在实际运维场景中属于关键遗漏。 【KIMI】模型基本理解了问题根源(base_path 影响访问路径),但给出的解决方案不够精确(空字符串 vs /),且严重遗漏了服务重启提醒和验证 URL,导致用户无法形成完整的配置修改闭环。操作指导性未达到及格标准。

困难难度评测结果

  • 得分:18.8 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:

我正在运行命令来查找占用 80 端口的进程。稍等片刻。

AI 评审点评

以下是 AI 评审对该模型输出的点评:

【CLAUDE】模型生成结果极为简短且无实质内容,仅告知用户「正在运行命令」并要求等待,没有提供任何技术分析、解决方案或操作建议。与参考答案相比,差距悬殊——参考答案提供了明确的诊断步骤、两种解决方案及最佳实践建议。该回复在当前对话上下文中(已经历两轮故障排查)应当给出具体的下一步行动和分析,而非仅是一句空洞的过渡语。整体质量不及格。 【GEMINI】该模型的生成结果极其敷衍,未能完成用户提出的补齐配置闭环的任务。模型不仅没有展示任何排查过程,也没有给出任何技术建议或解决方案,完全没有体现出作为 OpenClaw 助手应有的专业能力,未能达到及格标准。 【KIMI】模型生成结果严重不完整,仅是一个未完成的过渡性语句,完全没有回应用户「现在呢?」的询问。该回复缺失了故障排查的所有核心要素(权限解释、冲突分析、进程定位)以及决策建议(两种解决方案、最佳实践、安全原则),与参考答案相比内容覆盖率不足 10%,无法满足用户解决端口配置闭环的需求。

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