Meituan: LongCat Flash Chat 在「Docker 部署后 API 不通」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：Docker 部署后 API 不通
- 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：
我用 Docker 跑起了 OpenClaw Gateway，容器状态是「Up」，但是访问「http://localhost:8081/health」却提示拒绝连接，我该怎么检查？
任务要求
AI 模型需要满足以下要求：
- 要求检查 Docker 端口映射配置（-p 参数）
- 要求检查容器内服务监听地址是否为「0.0.0.0」而非「127.0.0.1」
- 要求检查宿主机防火墙或安全组设置
- 建议查看容器日志以确认服务是否真正启动成功
评测结果
综合得分
该模型在此用例的得分为：92.0 分（满分 100 分），已通过
基础难度评测结果
- 得分：92.0 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：
[[reply_to_current]] 要排查 Docker 容器运行 OpenClaw Gateway 但无法访问 `/health` 的问题，可以按照以下步骤检查： ### 1. 检查容器端口映射 确认你运行容器时是否正确映射了端口。例如，OpenClaw Gateway 默认监听 `8081`，需要确保宿主机端口映射正确。 **查看运行命令或 compose 配置：** ```sh docker ps ``` 输出中找你的容器，看 `PORTS` 列，例如： ``` 0.0.0.0:8081->8081/tcp ``` 如果没有 `8081->8081` 映射，说明端口没有正确暴露。 **修复：** - 如果手动运行，确保包含 `-p 8081:8081`。 - 如果是 `docker-compose.yml`，确认有： ```yaml ports: - "8081:8081" ``` --- ### 2. 检查容器内服务是否真正启动 容器“Up”不代表 Gateway 服务正常运行。 **查看容器日志：** ```sh docker logs ``` 看看日志有没有报错，如端口被占用、配置错误、启动失败等。 **进入容器检查进程：** ```sh docker exec -it sh # 查看进程 ps aux | grep gateway # 或检查监听端口 netstat -tlnp | grep 8081 ``` 如果没看到 `8081` 监听，说明服务没启动。 --- ### 3. 检查 Gateway 配置 确认 Gateway 配置是否正确绑定到 `0.0.0.0:8081`（而不是 `127.0.0.1`，否则只能容器内访问）。 **查看配置：** ```sh docker exec -it cat /path/to/gateway/config.yaml ``` 或查看启动参数、环境变量。如果配置为 `bind: 127.0.0.1:8081`，会导致宿主机无法访问。 **修复：** 确保 Gateway 配置中绑定地址为 `0.0.0.0:8081`。 --- ### 4. 检查宿主机防火墙或安全组 - 本地开发环境：检查宿主机防火墙是否放行 `8081` 端口。 - 云环境：检查安全组或网络 ACL 是否放行 `8081`。 --- ### 5. 检查是否能从容器内部访问 进入容器，用 `curl` 测试： ```sh docker exec -it curl -v http://localhost:8081/health ``` - 如果成功：说明服务正常，问题在端口映射或网络。 - 如果失败：说明 Gateway 没运行或配置错误。 --- ### 6. 检查 Docker 网络模式 如果你用了自定义网络或特殊网络模式（如 `host`），确认端口绑定是否生效。 - 默认 `bridge` 模式：确保 `-p 8081:8081`。 - `host` 模式：不需要端口映射，但需确认 Gateway 绑定在 `0.0.0.0:8081`。 --- ### 7. 检查端口冲突 宿主机 `8081` 端口是否被占用： ```sh lsof -i :8081 # 或 netstat -tlnp | grep 8081 ``` 如果被占用，换端口或关闭占用进程。 --- ### 8. 快速测试命令 ```sh # 查看容器端口映射 docker port # 查看网关日志（关键！） docker logs # 进入容器测试服务 docker exec -it sh curl http://localhost:8081/health ``` --- ### 总结排查顺序 1. `docker logs` 看 Gateway 启动日志。 2. `docker port ` 看端口映射。 3. `docker exec curl` 看服务是否运行。 4. 检查配置是否绑定 `0.0.0.0`。 5. 检查宿主机防火墙和网络。 如果日志无报错，端口映射正确，服务监听 `0.0.0.0:8081`，则 `http://localhost:8081/health` 应可访问。请告诉我你检查到的关键信息（如日志内容、端口映射、curl 结果），我可以进一步帮你分析。
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】候选回答结构清晰、逻辑完整，完整覆盖了参考答案的四个核心排查维度（端口映射、监听地址、日志检查、防火墙），并在此基础上提供了进入容器验证、端口冲突排查、网络模式说明等有价值的补充内容。排查顺序合理，命令示例具体可操作，最后的「总结排查顺序」也便于用户快速上手。整体是一份高质量的技术排查指南。
进阶难度评测结果
- 得分：50.0 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：
需要同时修改两个地方：1. 修改容器内的配置文件；2. 调整宿主机的端口映射范围。先修改容器内的配置文件。
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】候选输出识别出了问题的双重性质，但整体回答过于简略，缺乏具体的修复步骤和命令。既未给出 config.yaml 的具体修改内容，也未提供正确的 docker 端口映射命令，更未提及认证配置的影响。回答更像是一个思路提示而非可执行的解决方案，实用价值有限。
困难难度评测结果
- 得分：63.5 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：
我建议立即杀掉该占用进程以释放端口，使得新 Gateway 容器可以正常启动。 需要执行：`kill -9 1234` 确认是否执行该操作，或您也可以选择修改新容器的端口映射。请指示我下一步。
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】候选输出在故障排查链路上表现尚可，能够准确定位端口冲突并给出基本修复思路，但在「现在呢」这一关键追问的综合解决方案中，缺少重启容器命令和健康检查验证步骤，且以询问方式结尾而非给出完整可执行方案，导致恢复决策水平得分偏低。整体表现中规中矩，未能达到参考答案的完整性要求。
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