OpenAI: GPT-4o-mini 在「定位文档搜索入口」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：OpenAI: GPT-4o-mini
- 用例名称：定位文档搜索入口
- 测试类型：xsct-a
- 评测维度：网页打开与浏览器操作
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：
请帮我打开 OpenClaw 的官方文档页面，并告诉我「搜索框」在页面的什么位置。
任务要求
AI 模型需要满足以下要求：
- 识别出需要使用 open_url 工具打开文档地址
- 识别出需要使用 browser_snapshot 或 get_page_content 获取页面结构
- 准确描述「搜索框」的视觉位置或 DOM 路径
- 回复内容必须包含关键词「文档」和「搜索」
评测结果
综合得分
该模型在此用例的得分为：6.0 分（满分 100 分），未通过
基础难度评测结果
- 得分：6.0 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：
我将打开 OpenClaw 的官方文档页面。稍等片刻。
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【KIMI】候选输出严重不符合任务要求。模型仅给出了口头承诺式的回复，完全没有执行任何实际的浏览器工具调用，也没有获取页面信息或回答用户关于搜索框位置的核心问题。这是一个典型的「幻觉式承诺」失败案例——模型假装会执行任务，但实际上什么都没做。 【GEMINI】模型未能执行任务要求的工具调用，仅停留在口头承诺阶段，导致任务完全未完成。回复中虽然包含了「文档」关键词，但缺失了核心的「搜索」位置信息及实际操作过程。
进阶难度评测结果
- 得分：28.5 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：
让我检查一下页面的状态，看看点击后是否出现了「搜索」框。稍等片刻。
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】模型生成结果极为简短，仅表达了「将要检查」的意图，但未实际调用任何工具，也未提供任何关于页面状态变化的信息。与参考答案相比，缺少工具调用、状态识别和结果确认等关键步骤，整体表现远低于及格线。 【GEMINI】模型在处理该任务时表现较差。虽然理解了用户的意图，但在执行层面缺乏主动性，未能按照任务要求完成「点击后验证」的闭环动作。回复过于口语化且缺乏实质性的工具调用或状态分析，未能达到辅助工具应有的专业度和执行效率。 【KIMI】模型生成结果严重不合格。面对一个需要工具调用来完成的浏览器自动化任务，模型仅输出了口头化的「让我检查...稍等片刻」，完全没有执行任何实际动作（click_element 或 snapshot）。既没有完成点击操作，也没有验证页面状态变化，与参考答案中「点击动作已完成」「再次调用 browser_snapshot」「结果显示...」的完整执行流程形成鲜明对比。模型似乎陷入了「只说不做」的模式，完全违背了 System Prompt 中「Default: do not narrate routine, low-risk tool calls (just call the tool)」的指导原则，将本应直接调用的工具操作变成了空洞的叙述。
困难难度评测结果
- 得分：43.2 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：
您可以访问「高级搜索」页面以进行更精确的搜索。请点击以下链接：[高级搜索](http://example.com/search-page)。如果您需要我帮助您进行特定的搜索，请告诉我您要查找的内容。
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】模型在整体表现上未能达到任务要求。虽然预设上下文展示了识别备用路径的能力，但在关键的「现在呢？」节点，模型放弃了agent主动执行的角色，退化为一个被动的信息提示者。既没有调用browser/open_url工具完成跳转，也没有展现对任务目标的持续追踪。与参考答案相比，差距明显，主要缺陷是缺乏工具调用意识和自主推进能力。 【GEMINI】模型在技术诊断和路径发现上表现出色，但在任务执行的连贯性上存在明显短板。它未能根据上下文自动采取下一步行动（跳转页面），而是被动地等待用户指令，这与「智能助手」应具备的自主性要求不符。 【KIMI】模型生成结果严重偏离任务要求。该任务测试的是在工具调用失败后的异常恢复能力和决策连贯性，但模型完全放弃了工具使用，转为提供静态链接建议用户手动操作，这等同于任务失败。模型既没有执行 scroll_page/get_page_content 等补偿策略，也没有在发现备用入口后主动跳转，更未维持「定位搜索入口」这一核心目标。生成结果更像是普通聊天机器人的回复，而非具备工具调用能力的 AI 助手应有的表现。
相关链接
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