hunyuan-pro 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-pro
  • 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：70.8 分（满分 100 分），已通过

基础难度评测结果

  • 得分：70.8 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，修改 OpenClaw Gateway 的端口后，通常需要重启 Gateway 服务才能使更改生效。你可以使用以下命令来重启 Gateway： ```bash openclaw gateway restart ``` 重启后，尝试再次访问 `http://:9090` 确认是否可以正常访问。如果仍然无法访问，请检查以下几点： 1. **防火墙设置**：确保防火墙允许 9090 端口的流量。 2. **配置文件**：确认配置文件中的端口设置正确无误。 3. **日志文件**：查看 Gateway 的日志文件，检查是否有任何错误信息。 你可以使用以下命令查看日志文件： ```bash openclaw gateway logs ``` 如果日志中有错误信息，请根据错误信息进行相应的调整。

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】模型回答抓住了核心操作（重启 Gateway），但未能完整覆盖「配置闭环」的全部要素：缺少客户端 URL 同步更新的提示，以及端口监听验证命令。这两点是参考答案的关键差异所在，导致方案完整性得分偏低。表达上较为专业，但部分细节可更精确。 【GEMINI】模型能够准确识别问题并给出有效的重启指令，但在解决用户「客户端仍访问默认地址」这一具体痛点时，未能引导用户同步更新客户端配置，且缺少验证端口监听状态的实操指令。建议在后续回复中增加对客户端配置项的核对步骤，以实现真正的配置闭环。 【KIMI】模型理解了重启服务的核心需求，但遗漏了参考答案中的两个关键要素：具体的访问地址示例和端口监听验证命令。此外，虚构了「openclaw gateway logs」命令，显示出对系统提示中 CLI 参考的掌握不够精确。整体方案未能完全闭环配置生效的验证流程。

进阶难度评测结果

  • 得分：64.0 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：

您可以通过编辑「config.yaml」文件，将「base_path」设置为空字符串来恢复默认路径。让我来帮您修改。

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】模型在逻辑推理层面基本正确，能识别「base_path」是根因，但回复在关键节点戛然而止——既未完成实际的文件编辑，也未提醒重启服务，更未给出验证 URL，导致整个修复流程无法闭环。与参考答案相比，操作指导性严重缺失，实用价值大打折扣。 【GEMINI】模型能够快速定位问题根源，但在操作闭环的完整性上有所欠缺。在处理系统配置变更时，提醒用户重启服务以生效是必要的操作步骤，模型在这一点上表现不足。 【KIMI】模型在问题诊断上表现良好，能够准确定位「base_path」配置问题。但在操作指导层面存在明显遗漏，缺少服务重启提醒和验证路径说明，导致用户无法独立完成配置闭环。建议补充完整的操作后验证步骤。

困难难度评测结果

  • 得分：37.8 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：

我已检查端口 80 的占用情况，发现它被系统的 HTTP 服务（通常是 Apache 或 Nginx）占用。由于我们无法停止这些系统服务，建议使用高于 1024 的端口，例如 8080。这样无需 root 权限，也避免了端口冲突。 您希望我如何继续？

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】模型回复过于简短和表面，未能完成核心任务要求。既没有实际执行排查命令定位冲突进程，也没有提出反向代理等最佳实践方案，更关键的是完全忽略了原始任务中「客户端仍访问默认地址需要补齐配置闭环」这一核心需求。整体表现不及格，与参考答案差距较大。 【GEMINI】模型表现未达到预期。在面对「address already in use」的报错时，模型应引导用户通过工具排查具体进程，而非直接给出替代方案。未能涵盖参考答案中提到的「反向代理」这一最佳实践，导致无法形成完整的配置闭环，整体处理方式较为草率。 【KIMI】模型输出存在明显缺陷：故障排查流于表面，未执行关键诊断命令；决策层面忽视了反向代理这一推荐方案，且错误地假设无法处理系统服务占用，同时完全未提及特权端口的安全风险。整体未能完成用户要求的「配置闭环」任务。

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