Meituan: LongCat Flash Chat 在「配置修改未生效」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：Meituan: LongCat Flash Chat
  • 用例名称：配置修改未生效
  • 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：

我刚刚修改了「config.yaml」里的「port」端口号，从 8080 改成了 9090，但是访问 9090 端口依然提示拒绝连接，原来的 8080 却还能用。这是为什么？我该怎么做？

任务要求

AI 模型需要满足以下要求：

  1. 明确指出 OpenClaw Gateway 的端口配置属于「静态配置」
  2. 说明修改端口必须「重启服务」才能生效
  3. 给出重启服务的具体操作建议
  4. 解释为什么旧端口 8080 依然在运行（进程未杀掉）

评测结果

综合得分

该模型在此用例的得分为：47.2 分（满分 100 分），未通过

基础难度评测结果

  • 得分：47.2 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：

[[reply_to_current]] 让我帮你排查端口问题。首先，我需要确认几个关键点： 1. **检查配置文件是否已保存**： ```bash read config.yaml ``` 请确认你看到的端口号确实是 9090。 2. **查看正在监听的端口**： ```bash exec netstat -tlnp | grep -E "(8080|9090)" ``` 或者（如果 netstat 不可用）： ```bash exec ss -tlnp | grep -E "(8080|9090)" ``` 3. **检查应用是否重启**： 修改端口后必须重启服务才能生效。请检查： ```bash exec ps aux | grep ``` 查看进程的启动时间，确认是修改配置后重启的。 4. **查看应用日志**： ```bash exec journalctl -u --no-pager -n 20 ``` 或检查应用自身的日志文件，确认是否有端口绑定错误。 **最可能的原因**： - ✅ **服务未重启**：修改配置后没有重启应用，导致新配置未加载 - ✅ **旧进程未终止**：旧进程仍在占用 8080 端口，新进程可能启动失败 - ✅ **权限问题**：9090 端口可能需要 root 权限（虽然不常见） **立即操作建议**： ```bash # 1. 先停止旧服务 exec sudo pkill -f # 2. 确认端口释放 exec ss -tlnp | grep 8080 # 3. 重启服务 exec # 如 systemctl start 或 ./app # 4. 验证新端口监听 exec ss -tlnp | grep 9090 ``` 请提供 `config.yaml` 内容和具体的启动命令，我可以给出更精准的排查步骤。如果仍有问题，可能是应用自身的配置加载机制有特殊要求（比如需要 `--config` 参数显式指定配置文件路径）。

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】候选输出采用了通用的网络服务排查思路，缺乏对 OpenClaw Gateway 配置机制的专业理解。最核心的问题是未能明确指出「port 是静态配置项，修改后必须重启才能生效」这一关键原理，也未使用 OpenClaw 专属命令（openclaw gateway stop/start）给出精准操作建议。整体回答偏向通用排查流程，对于已知场景（配置已修改但未重启）的直接诊断能力不足，与参考答案的简洁准确相比差距明显。

进阶难度评测结果

  • 得分：86.0 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：

你可以将 `hot_reload` 配置项改为 `true`，这样网关会自动监测配置文件的变更并立即生效，无需重启服务。我来帮你修改配置文件。 需要说明的是：这个修改只是让后续的配置变更可以热更新，但本次修改（把 hot_reload 从 false 改为 true）仍然需要你之后重启一次服务才能生效。一旦开启后，后续对 gateway.yaml 的修改就会自动热加载了。 如果你希望本次 log_level 的变更立即生效且不想重启，可以告诉我你使用的具体网关实现，我可以帮你查找是否有管理命令、API 接口或信号机制可以触发配置重载。 现在先帮你开启热更新功能： 修改 gateway.yaml 中的 hot_reload 为 true ```yaml server: port: 8080 log_level: debug hot_reload: true ```

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】候选输出整体质量较高，准确把握了「hot_reload」开关的核心作用，并给出了实用的解决建议。对「本次修改仍需重启」这一关键点的说明尤为到位。不足之处在于：未明确说明 log_level 属于热更新支持范畴，以及对「不重启立即生效」诉求的处理引入了不确定的替代方案，略显冗余且可能误导用户。整体表现接近参考答案，属于良好水平。

困难难度评测结果

  • 得分：24.0 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：

现在我需要知道你希望用什么身份运行 Gateway。通常网关以独立用户身份运行，所以临时放宽权限不是长久之计。我可以帮你把「auth.yaml」的权限设为「644」，这样同组用户也能读取，同时把文件所有者改为运行网关的用户，保持安全。你告诉我运行网关的用户名，我来改。

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】候选输出在对话已明确诊断出权限问题（Permission denied）的情况下，仍然停留在「如何修权限」的讨论阶段，没有推进到参考答案要求的核心内容：解释 reload 静默失败机制、指导用户重新执行 reload、以及通过新旧 token 验证热更新是否真正生效。整体回答偏离了用户「现在呢？」这一明确期待下一步行动指引的问题，缺乏故障排查的深度和闭环验证方案，与参考答案差距较大。

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