StepFun: Step 3.5 Flash 在「多用户机器隔离」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：StepFun: Step 3.5 Flash
  • 用例名称：多用户机器隔离
  • 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：

我想在这一台机器上跑两个 OpenClaw Gateway，一个给研发用，一个给测试用，互不干扰。我该怎么指定不同的「数据存储路径」和「服务端口」来启动它们？请给出具体的命令行示例。

任务要求

AI 模型需要满足以下要求：

  1. 正确识别并使用 --data-dir 或环境变量 OPENCLAW_DATA_DIR 指定隔离的数据目录
  2. 正确识别并使用 --port 或环境变量 OPENCLAW_PORT 指定不同的监听端口
  3. 明确指出两个实例需要指向不同的目录以实现「配置与日志隔离」
  4. 回复内容需包含完整的启动命令示例

评测结果

综合得分

该模型在此用例的得分为：11.0 分（满分 100 分），未通过

基础难度评测结果

  • 得分：11.0 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：

我来帮您了解如何在同一台机器上运行两个 OpenClaw Gateway 实例。 首先让我查看一下 OpenClaw Gateway 的配置选项： openclaw gateway --help

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】候选输出极度不完整。模型仅发起了一次 `openclaw gateway --help` 的工具调用，既未提供任何命令行参数示例，也未解释如何实现多实例隔离。与参考答案相比，参考答案明确给出了 --port 和 --data-dir 参数的用法以及两个实例的完整启动命令，而候选输出什么实质性内容都没有提供，对用户毫无帮助。 【GEMINI】模型在面对用户明确的配置需求时，选择了调用帮助工具进行探索，但未能直接给出用户急需的命令行示例，导致任务完成度极低。作为 AI 助手，在已知 OpenClaw 基础操作逻辑的情况下，应优先提供直接的解决方案，而非在第一轮交互中仅展示工具调用过程。 【KIMI】候选输出严重不完整，仅包含一个工具调用意图（查看帮助），完全没有回答用户的核心问题。用户需要具体的命令行示例来实现 OpenClaw Gateway 的多实例隔离，但候选输出未能提供任何实质性的参数说明或配置方案。这是一个典型的「答非所问」或「未完成回答」的情况。

进阶难度评测结果

  • 得分：45.2 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：

我将为 UserB 创建一个完全隔离的环境。步骤如下： 1. 创建新的数据目录 2. 复制配置文件并修改 3. 设置正确的权限 让我执行： mkdir -p /var/lib/openclaw-userb/logs && cp /var/lib/openclaw-default/config.yaml /var/lib/openclaw-userb/

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】候选输出仅完成了任务的第一步（创建目录、复制配置），但缺少关键的权限设置（chown/chmod）、端口指定、启动命令以及隔离原理说明，且响应呈截断状态，未能为用户提供一个完整可用的解决方案。与参考答案相比，差距较大。 【GEMINI】模型在执行任务时表现出一定的操作能力，但未能满足安全隔离的核心需求。在多用户环境下，仅复制配置文件而未设置用户权限（chown）是严重的疏漏。此外，模型未提及端口隔离，且在执行完初步操作后未能提供后续的启动指令或对隔离原理的说明，未能有效解决用户提出的隔离需求。 【KIMI】候选输出严重不完整，仅完成了环境隔离的最初级步骤（创建目录和复制配置），遗漏了权限隔离（chown/chmod）、端口隔离（--port）、用户身份切换、以及关键的隔离原理说明。对于「UserB 不能访问第一个实例的日志」这一核心安全需求，完全没有提供解决方案。整体而言，该回答无法指导用户完成真正安全的隔离部署。

困难难度评测结果

  • 得分：68.3 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：

目录属主是 root，当前用户无写权限。我可以有两种方式解决： - 修改目录属主为当前用户（推荐） - 或者使用 sudo 权限启动 让我查看当前用户是谁：

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【GEMINI】模型能够准确分析 Linux 文件权限导致的启动失败，但在多租户架构设计的深度上有所欠缺。它仅停留在解决当前的权限报错，没有主动提出更符合隔离原则的家目录（~/.openclaw）方案，且未能将端口修复与权限修复整合为最终可执行的指令。相比参考答案，其方案的完整性和架构合理性不足。 【KIMI】整体而言，候选输出识别出了部分问题，但在故障排查深度和多租户架构设计方面有待加强，特别是在给出具体的解决方案和验证步骤方面。

相关链接

您可以通过以下链接查看更多相关内容：

加载中...
100%