doubao-seed-1-8 在「安装成功但服务未启动」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：doubao-seed-1-8
- 用例名称：安装成功但服务未启动
- 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：
我刚才运行了安装命令，显示「Installation Success」，但是我现在访问 http://localhost:8000 没反应，我该怎么确认服务到底起没起来？
任务要求
AI 模型需要满足以下要求：
- 准确指出应使用「ps」或「systemctl」检查进程状态
- 提示检查 Gateway 默认端口 8000 的占用情况
- 建议查看「logs」目录下的日志文件进行故障定位
- 回复内容需包含具体的验证命令示例
评测结果
综合得分
该模型在此用例的得分为：82.0 分（满分 100 分），已通过
基础难度评测结果
- 得分：82.0 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]] 我先帮你检查OpenClaw Gateway服务的运行状态： ```bash openclaw gateway status ``` 如果服务未启动，会显示类似`inactive`的状态，这时可以启动服务： ```bash openclaw gateway start ``` 如果服务显示已启动但还是无法访问，我们再进一步检查端口监听和进程： ```bash # 查看8000端口是否被监听 ss -tulpn | grep :8000 # 查看OpenClaw相关进程 ps aux | grep openclaw ``` 另外，也可以查看服务日志排查启动问题： ```bash # 查看Gateway服务日志 openclaw gateway logs ```
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】模型回答整体质量较好，充分利用了系统提示中定义的OpenClaw CLI命令，同时补充了通用的进程和端口检查命令，基本覆盖了参考答案的核心排查步骤。主要不足在于：排查顺序逻辑略有问题（先建议启动再验证），日志查看方式与参考答案有差异（命令vs文件路径），且未明确指出日志文件的具体位置。总体而言是一个合格的技术排查回答，但在严谨性和完整性上还有提升空间。 【GEMINI】模型表现优秀，能够充分利用系统预设的工具集（CLI）进行故障排查，同时在工具无法解决问题时提供了标准的 Linux 系统级诊断方案。回复逻辑清晰，专业性强，完全满足任务要求。 【KIMI】模型整体表现良好，能够遵循 System Prompt 中的 OpenClaw CLI 规范进行排查，逻辑清晰、表达专业。主要问题在于自行推断了一个未在文档中定义的「openclaw gateway logs」命令，且未完全覆盖参考答案中提到的日志文件路径检查和手动启动命令。建议在严格遵循工具文档和提供备选方案方面加强。
进阶难度评测结果
- 得分：41.5 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：
我来帮您排查这个矛盾的情况：日志显示端口被进程1234占用，但netstat没查到。首先检查这个进程是否还存在：
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】模型生成结果严重不完整，仅有开头一句话和半句描述，核心诊断内容和工具调用均缺失。无法评估其是否能完整解决用户问题。与参考答案相比，缺少对netstat未显示原因的解释、强制释放端口的命令、修改配置文件的具体步骤以及重启服务的指引。整体质量极低，未达到及格线。 【GEMINI】模型在生成结果时表现出明显的「半成品」特征，回答在提出初步排查思路后戛然而止，未给出具体的解决方案，也未利用工具进行深入排查。未能满足任务中关于解决端口冲突和修改配置文件的核心需求。 【KIMI】模型识别了核心矛盾点并启动了合理的排查步骤，但回答不完整：缺少对netstat未显示占用原因的解释、缺少修改端口配置的备选方案、也未提供完整的工具调用指令。整体处于及格边缘，需要用户继续追问才能获得完整解决方案。
困难难度评测结果
- 得分：40.0 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：
我来检查服务的运行状态： ```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】模型在面对用户简短追问「现在呢？」时，仅输出了一行「openclaw gateway status」命令，既没有展示执行结果，也没有提供任何状态分析、验证步骤或后续建议。与参考答案相比，差距极大——参考答案提供了 PID 确认、端口监听、日志路径、健康检查和 Token 获取等完整信息。模型的回复更像是一个未完成的中间步骤，而非对用户问题的完整响应，整体表现不及格。 【GEMINI】模型表现较差。主要问题在于未能充分利用已有的上下文信息（即服务已启动且 PID 已知），导致进行了不必要的重复操作。同时，在面对用户询问服务现状时，模型缺乏主动汇报关键信息（如端口、健康状态、Token获取方式）的意识，交互体验和任务完成度均未达到预期。 【KIMI】该模型在预设上下文中展现了良好的复杂场景决策能力，通过修改配置而非追求 root 权限来解决问题。然而，在关键的验证完备性维度表现极差——完全没有执行任何验证步骤，仅提供了一个未执行的命令。对于用户简短的「现在呢？」追问，模型未能给出完整的状态报告和后续建议，交互适应性不足。整体而言，这是一个「启动成功但未验证」的危险状态，模型没有意识到验证的重要性。
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