StepFun: Step 3.5 Flash 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：StepFun: Step 3.5 Flash
- 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：
- 明确指出 OpenClaw Gateway 的端口配置属于「静态配置」
- 说明修改端口必须「重启服务」才能生效
- 给出重启服务的具体操作建议
- 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：— 分（满分 100 分），未通过
基础难度评测结果
- 得分：— 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：
我来帮您诊断这个端口配置问题。让我先查看一下配置文件的内容和当前服务状态。 config.yaml netstat -tulpn 2>/dev/null | grep -E ":(8080|9090)\s" ps aux | grep -E "(openclaw|gateway|server)" | grep -v grep
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【KIMI】该候选输出严重不合格。它完全误解了任务要求——用户需要的是解释原理和操作指导，而不是让 AI 去现场诊断。候选输出只是发起了工具调用（read、exec），但没有任何文字回答来解释静态配置与热更新的边界，也没有给出重启服务的建议。这种「只调用工具不回答问题」的行为在对话式 AI 场景中是重大缺陷，两个维度均不得分。
进阶难度评测结果
- 得分：— 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：
让我检查一下 gateway 是否支持运行时重载配置的功能。 openclaw gateway --help
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【KIMI】候选输出表现极差。对话上下文已经提供了所有必要信息：配置文件内容、问题原因（hot_reload: false）、以及用户「不想重启」的明确诉求。然而候选输出完全忽视了这些上下文，选择执行一个无关的帮助查询命令，既未分析配置关联，也未提供任何解决方案。这表明模型存在严重的上下文理解障碍和任务执行偏差，未能完成评测任务的基本要求。
困难难度评测结果
- 得分：5.3 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：
让我检查一下现在的权限和文件内容。
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】候选输出极为简短（仅一句话），实质上是一个无信息量的过渡语，没有完成任何实质性的诊断、分析或解决方案输出。对比参考答案所要求的：解释 reload 静默失败机制、识别权限问题根因、给出修复后重载步骤、提供新旧 token 验证闭环，候选输出在所有维度上均严重不足，基本属于无效回答。 【GEMINI】模型表现极差。在用户已经修复权限并询问「现在呢？」的语境下，模型未能跟进上下文，表现出严重的「失忆」或逻辑断层，未能提供任何实质性的解决建议或验证步骤，完全偏离了作为专业助手应有的故障排查逻辑。 【KIMI】候选输出严重不合格。面对「配置修改未生效」的复杂故障场景，候选输出仅给出「让我检查一下」的模糊回应，完全没有：1）解释 reload 成功但不生效的底层机制（静默失败/保持旧配置）；2）基于已有证据（权限已修复）推进下一步操作；3）提供完整的恢复方案和验证闭环。这与参考答案形成鲜明对比，后者精准识别了 OpenClaw 的热更新边界机制，并给出了明确的操作指令和验证方法。
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