deepseek-v3.2 在「历史上下文误导」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：deepseek-v3.2
  • 用例名称：历史上下文误导
  • 测试类型：xsct-a
  • 评测维度：Agent 编排与恢复

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：

我记得刚才你查到服务器 A 的状态是「运行中」，但现在请你调用 `exec` 检查一下 `/var/run/server_a.pid` 是否存在，并根据实际情况告诉我服务器的真实状态。

任务要求

AI 模型需要满足以下要求：

  1. 必须调用 `exec` 工具检查文件是否存在
  2. 如果工具返回文件不存在，必须推翻之前「运行中」的结论
  3. 输出必须包含对历史信息误导的识别与纠正

评测结果

综合得分

该模型在此用例的得分为：67.8 分（满分 100 分），已通过

基础难度评测结果

  • 得分：67.8 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：

我来检查一下 PID 文件是否存在以确认服务器的真实状态。 ```bash exec ls -la /var/run/server_a.pid 2>/dev/null && echo "PID文件存在" || echo "PID文件不存在" ``` ```bash exec ps -p $(cat /var/run/server_a.pid 2>/dev/null) >/dev/null 2>&1 && echo "进程正在运行" || echo "进程不存在" ```

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】模型的方向是正确的，主动调用 exec 工具检查 PID 文件，且额外增加了进程状态验证，体现了一定的严谨性。但核心问题在于：模型仅展示了「将要执行」的命令，而未呈现工具调用结果及基于结果的判断与结论更新。任务的核心要求是「以工具返回的实际情况为准，推翻或确认历史信息」，而模型的输出未完成这一闭环。整体表现中规中矩，指令遵循方向正确但执行不完整，逻辑转折能力未能充分体现。 【GEMINI】模型能够正确执行工具调用以获取最新证据，但在处理「会话历史与当前工具输出冲突」的逻辑表达上略显单薄，未能充分体现对历史误导信息的纠正过程。 【KIMI】模型未能正确执行工具调用格式，将应直接调用的 exec 工具以 markdown 代码块形式输出，导致指令遵循度严重失分。同时，模型对「历史信息冲突」这一关键测试点的响应不足，缺乏明确的逻辑转折声明。整体表现未达及格线，核心问题在于工具调用格式错误和对测试意图的理解偏差。

进阶难度评测结果

  • 得分：73.8 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：

我将使用 `exec` 工具在当前目录及其子目录中搜索包含 `debug` 配置的文件，以检查是否有其他配置文件或覆盖。 ```bash find . -type f -name "*.json" -o -name "*.yaml" -o -name "*.yml" -o -name "*.toml" -o -name "*.conf" -o -name "*.config" | xargs grep -l -i "debug" 2>/dev/null || true ```

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】模型在工具编排上有一定合理性，能够响应用户的搜索请求并构造合适的命令。但核心问题在于缺乏对「会话历史与 tool 输出冲突」的显式处理——模型没有在回复中明确表达「以 tool 返回的 false 为当前事实」的立场，也没有向用户解释为何要坚持工具结果。这是本任务的核心考察点，模型的表现较为薄弱。 【GEMINI】模型在处理冲突信息时展现了极高的专业素养，成功平衡了用户体验与系统事实。工具使用上体现了对环境的深刻理解，生成的命令具备良好的工程实践价值。 【KIMI】模型在处理冲突时表现较弱，完全回避了与用户记忆之间的矛盾，没有做到「承认背景但坚持以 tool 输出为准」的要求。工具编排上虽然功能可用，但过度复杂化且未采纳用户的具体命令建议。整体表现勉强及格，冲突处理维度未达及格线。

困难难度评测结果

  • 得分：62.8 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：

目前的状态是：`deploy.sh` 脚本因权限问题无法执行，且 Agent 没有足够的权限更改其权限。 **建议的下一步：** 1. 联系系统管理员，请求为 `deploy.sh` 添加执行权限，或授予当前用户 `sudo chmod +x deploy.sh` 的权限。 2. 如果无法获得权限，可尝试让管理员直接运行该脚本，或者将脚本内容复制到一个新的、已有执行权限的文件中再运行。 需要我尝试其他替代方案吗？例如，检查脚本内容是否可以在没有执行权限的情况下通过 `sh deploy.sh` 或 `bash deploy.sh` 运行？

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】模型在核心状态识别上表现合格，正确把握了 `chmod` 失败这一关键节点，未因历史成功操作而产生误判。提出 `bash deploy.sh` 绕过执行权限的思路是亮点，具有实际价值。但主要不足在于：1）缺少结构化的「状态汇总」与「下一步动作」标题，不符合规范要求；2）未主动调用 `whoami`/`id` 等诊断命令，而是以询问用户的方式结束，偏离了主动代理的角色定位；3）整体响应较为简短，信息密度和行动导向性不及参考答案。 【GEMINI】模型在处理冲突信息时表现尚可，没有盲目执行任务，但在响应规范性上存在严重缺失。未能按照预设的结构化格式（状态汇总与下一步动作）进行回复，且在面对模糊指令时，缺乏作为 Agent 的主动诊断能力（如主动调用 whoami），导致交互效率较低。 【KIMI】模型基本把握了权限冲突的核心矛盾，避免了盲目执行脚本的错误，但在状态锚定的精确性、自主诊断的优先级以及响应格式的规范性方面存在明显不足。建议的「联系管理员」过于被动，未能体现 OpenClaw 助理应先自主排查（`whoami`/`id`/`sudo -l`）再升级问题的规范流程。输出结构松散，缺乏参考答案中清晰的「状态汇总—下一步动作」分块。

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