deepseek-v3.2 在「自定义端口后访问异常」的评测结果

基本信息

• 模型名称：deepseek-v3.2
• 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：45.0 分（满分 100 分），未通过

基础难度评测结果

• 得分：45.0 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：

[[reply_to_current]] 我来帮你检查一下 OpenClaw Gateway 的端口配置和状态。 首先查看当前 Gateway 的状态和配置： ```bash openclaw gateway status ``` ```bash cat ~/.openclaw/config.yaml | grep -A 2 -B 2 gateway ``` ```bash netstat -tlnp | grep 9090 ```

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【KIMI】候选输出仅停留在诊断探查阶段，未能形成完整的解决方案闭环。用户明确询问是否需要重启，但回答完全回避了这一问题，也未给出客户端应使用的正确访问地址，导致用户无法完成配置迁移。这是一个典型的「答非所问」案例，诊断动作本身正确但缺乏解决问题的核心指导。

进阶难度评测结果

• 得分：74.2 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：

您可以编辑 `config.yaml` 文件，将 `base_path` 的值修改为 `/` 或直接删除这一行（如果配置支持默认值）。 我来为您修改： ```bash edit config.yaml ``` ```yaml gateway: port: 8888 base_path: / auth: enabled: false ```

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尚可，正确定位了「base_path」配置问题并给出了修改方向。但在操作指导完整性上存在明显短板：遗漏了「重启服务」这一关键步骤，导致用户即使修改了配置文件也无法立即生效；同时缺少修改后的验证 URL 提示。整体回答能解决部分问题，但配置闭环不完整。 【GEMINI】模型在逻辑推理方面表现优秀，能够快速定位并给出正确的修改方案。但在操作指导的完整性上有所欠缺，遗漏了「重启服务」这一关键步骤以及「验证路径」的说明，未能完全满足任务中「补齐配置闭环」的要求。 【KIMI】模型在问题诊断上表现良好，准确识别了 base_path 配置的影响。但在操作指导层面存在关键遗漏：未提醒重启服务、未给出验证 URL，导致配置修改无法形成完整闭环。这是一个典型的「知错但未闭环」场景，用户按此操作后问题依然存在。

困难难度评测结果

• 得分：32.2 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：

我来检查 80 端口被哪个进程占用，然后决定如何处理。 ```bash sudo ss -tlnp | grep ':80' ```

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，仅提供了一条用于查看端口占用进程的命令，属于故障排查的起点动作，但缺乏对已有错误信息的分析解释、解决方案的提出以及最佳实践的建议。与参考答案相比，差距显著——参考答案包含了原因分析、两种解决路径（停止进程或反向代理）、安全规范建议以及完整闭环。此次回答未能满足用户「现在呢？」的期望，即在已知端口冲突的情况下给出完整的处理方案。 【GEMINI】模型表现不佳。面对用户提出的「现在呢？」这一询问，模型未能提供完整的上下文闭环，仅简单执行了一个命令，没有体现出作为专业 AI 助手应有的诊断逻辑、方案建议和安全最佳实践指导。未能达到参考答案中要求的故障排查深度与决策严谨性。 【KIMI】模型生成结果严重不完整，仅提供了一个端口检查命令，完全没有回应用户「现在呢？」所期待的完整解决方案。历史上下文中已经经历了「permission denied」和「address already in use」两个错误阶段，但模型既未总结这些故障原因，也未提供任何解决方案或最佳实践建议。与参考答案相比，缺失了故障解释、双路径解决方案、安全最佳实践和闭环验证等核心内容，无法满足用户的配置闭环需求。

相关链接

您可以通过以下链接查看更多相关内容：

• 查看所有模型在此用例的表现：「自定义端口后访问异常」
• 查看该模型的所有评测结果：deepseek-v3.2
• 浏览同维度的其他用例：「Gateway 配置与管理」
• 返回排行榜首页