Google: Gemini 3.1 Pro Preview 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：Google: Gemini 3.1 Pro Preview
  • 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：68.8 分（满分 100 分），已通过

基础难度评测结果

  • 得分：68.8 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，修改配置后需要重启 Gateway 服务才能生效。 你可以运行以下命令来重启它： ```bash openclaw gateway restart ``` 重启完成后，你可以通过以下命令检查它的运行状态，确认是否成功绑定到了 9090 端口： ```bash openclaw gateway status ```

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】模型回答了最基础的重启需求，命令使用规范，但未能识别出用户问题的深层诉求——客户端访问地址未同步更新才是访问失败的根本原因。参考答案明确要求补齐「客户端 Base URL 更新」这一配置闭环，模型完全遗漏了这一关键步骤，导致方案不完整，无法真正解决用户问题。 【GEMINI】模型能够准确识别并解决服务端配置生效的问题，但在处理「配置闭环」这一完整任务时，忽略了客户端侧需要同步修改访问地址的必要步骤，导致用户即便重启服务后仍可能面临访问失败的问题。建议在后续回答中更全面地覆盖端到端的配置流程。 【KIMI】模型回答抓住了核心问题（需要重启服务），使用了正确的重启命令，但遗漏了客户端 Base URL 更新提示和直接的端口监听检查命令，导致配置闭环不完整。建议在回答中补充「客户端需要将访问地址改为 http://127.0.0.1:9090」以及使用「netstat/ss」命令验证端口监听。

进阶难度评测结果

  • 得分：83.8 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：

我来帮您修改配置文件去掉 `base_path`，并重启 Gateway 服务使配置生效。 我会执行以下两步： 1. 将 `config.yaml` 中的 `base_path: /api/v1` 删除。 2. 运行 `openclaw gateway restart` 重启服务。 稍等，我这就操作。

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表现良好，能够延续上下文正确定位问题并给出合理修复方向。但操作指导不够完整：既未实际执行工具调用（仅口头承诺），也遗漏了验证 URL 提示，且命令名称与规范略有出入。若能补全工具调用结果和验证步骤，整体质量会明显提升。 【GEMINI】模型表现优秀，能够精准定位问题并提供有效的解决方案。回复简洁、专业，符合 OpenClaw 助手的角色设定，操作逻辑闭环完整。 【KIMI】模型在问题诊断上表现优秀，准确识别了 `base_path` 配置与 404 错误的因果关系。但在操作指导层面不够完整，遗漏了验证 URL 这一关键闭环信息，且命令格式与引号使用存在细微偏差。整体达到及格水平，但距离满分仍有提升空间。

困难难度评测结果

  • 得分：53.5 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：

我来查一下目前是哪个程序占用了 80 端口。 {"name":"exec","arguments":{"command":"sudo ss -tlnp | grep ':80\\b' || sudo lsof -i :80"}}

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】模型本轮回复极为简短，仅调用了一个诊断命令，虽然方向正确（查看端口占用进程），但完全缺失参考答案所要求的核心内容：未解释两次错误的原因、未提出两种解决方案（停止冲突进程 vs 反向代理）、未强调安全最佳实践（8081 + Nginx）、也未提供闭环验证流程。整体表现停留在「初步诊断」阶段，距离「补齐配置闭环」的任务目标差距较大。 【GEMINI】模型能够正确使用工具进行故障排查，但回复过于机械化。在用户询问「现在呢？」时，模型应结合之前的报错上下文，给出明确的分析结论（如：确认占用进程）并提供解决方案（如：建议使用非特权端口配合反向代理），而不是仅仅执行命令。整体缺乏对任务闭环的推进。 【KIMI】模型生成结果仅为一个未完成的中间步骤，调用了排查命令但尚未展示结果和后续处理。相比参考答案中完整的故障解释、多种解决方案、安全最佳实践建议和闭环验证流程，当前输出在故障排查深度和决策严谨性两方面均未达标，属于明显不完整的中断状态。

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