deepseek-v3.2 在「Matrix 接入」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：Matrix 接入
  • 测试类型：xsct-a
  • 评测维度：渠道连接与消息路由

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：

我想把 OpenClaw 接入到我的「Matrix」服务器，请告诉我需要在配置文件中设置哪些核心字段，以及如何验证「homeserver」连接是否成功？

任务要求

AI 模型需要满足以下要求：

  1. 准确列出 Matrix 渠道必需的配置字段，如「homeserver_url」、「user_id」、「access_token」
  2. 说明如何通过日志或健康检查接口验证连接状态
  3. 提及 Matrix 协议特有的「room_id」或「sync」机制

评测结果

综合得分

该模型在此用例的得分为：40.0 分（满分 100 分），未通过

基础难度评测结果

  • 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：

我需要先了解 OpenClaw 当前的配置状态和 Matrix 相关的设置选项。让我检查一下配置文件和相关文档。 ```bash ls -la ``` ```bash find . -name "*.toml" -o -name "*.yaml" -o -name "*.yml" -o -name "*.json" -o -name "*.config*" | head -20 ``` ```bash ls -la config/ ``` ```bash ls -la ~/.config/openclaw/ ``` ```bash cat config/openclaw.toml 2>/dev/null || cat ~/.config/openclaw/config.toml 2>/dev/null || echo "配置文件未找到" ``` ```bash openclaw --help | grep -i matrix ``` ```bash find . -type f -exec grep -l "matrix" {} \; 2>/dev/null | head -10 ``` ```bash find . -type f -exec grep -l "homeserver" {} \; 2>/dev/null | head -10 ``` 基于我对 OpenClaw 架构的了解，Matrix 集成通常通过配置文件进行设置。让我创建一个基本的 Matrix 配置示例，并说明如何验证连接： ## OpenClaw Matrix 核心配置字段 在 OpenClaw 配置文件中（通常是 `config/openclaw.toml` 或 `~/.config/openclaw/config.toml`），你需要配置以下核心字段： ```toml # Matrix 集成配置 [matrix] # 必需字段 homeserver_url = "https://matrix.example.com" # 你的 Matrix homeserver URL user_id = "@your_bot:matrix.example.com" # 机器人的完整用户ID access_token = "your_access_token_here" # 访问令牌 # 可选但推荐的字段 device_id = "OPENCLAW_BOT" # 设备标识符 sync_timeout_ms = 30000 # 同步超时（毫秒） store_path = "./matrix_store" # 状态存储路径 # 房间配置 [matrix.rooms] # 自动加入邀请 auto_join = true # 监听特定房间（可选） # include_rooms = ["!roomId:matrix.example.com"] # 消息处理 [matrix.messages] # 启用加密（如果服务器支持） encryption_enabled = false # 消息重试 max_retries = 3 retry_delay_ms = 1000 # 高级选项 [matrix.advanced] # 验证 homeserver 证书 verify_ssl = true # 代理设置（如果需要） # proxy_url = "http://proxy.example.com:8080" ``` ## 获取配置所需的信息 ### 1. **获取 Access Token** ```bash # 使用 curl 获取 access token（需要先注册用户） curl -XPOST -d '{ "type": "m.login.password", "user": "your_bot_username", "password": "your_password" }' "https://matrix.example.com/_matrix/client/r0/login" ``` ### 2. **验证 Homeserver 连接** #### 方法一：使用 OpenClaw 内置命令 ```bash # 测试 Matrix 连接 openclaw matrix test-connection # 或者检查 Matrix 服务状态 openclaw matrix status ``` #### 方法二：手动验证 API 端点 ```bash # 验证 homeserver 基础连通性 curl -s "https://matrix.example.com/_matrix/client/versions" # 验证用户身份（需要 access...

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【KIMI】候选输出表现出明显的「幻觉」问题，大量内容基于对 OpenClaw 和 Matrix 集成的假设性知识而非 EVAL_BLOB 提供的事实来源。输出结构看似详尽，但核心信息（配置文件位置、配置路径结构、验证方法）均与参考答案不符。候选输出倾向于提供过度详细的技术步骤，但这些步骤多为虚构或从其他项目经验迁移而来，未严格遵循题目给定的上下文。建议在评测任务中严格限制在提供的 EVAL_BLOB 范围内回答，避免引入外部假设和过度推断。

进阶难度评测结果

  • 得分：28.2 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：

我来读取最近的日志文件。通常日志会在「logs/」目录下。我先查看一下目录结构。

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】模型的回复极为简短且停留在意图描述层面，既没有实际调用任何工具，也没有提供任何有价值的故障诊断分析。对比参考答案，模型应该直接执行「grep 'm.room.message' logs/claw.log」并基于结果给出诊断路径（sync拦截、token权限、路由配置等）。整体表现远低于预期，未能完成基本的检查任务。 【GEMINI】模型表现不佳。在面对明确的排障任务时，未能展现出作为 AI 助手的专业诊断能力，不仅忽略了用户提供的关键线索（检查日志中的特定事件），还采取了拖慢排查进度的低效操作。建议模型在后续任务中应优先根据用户提供的上下文直接调用核心排查工具，而非进行无关的探索性操作。 【KIMI】模型生成结果严重不合格。面对明确的Matrix消息无响应故障，模型完全没有执行实际的诊断操作，既未读取日志确认「m.room.message」事件是否到达，也未检查sync、权限、路由等关键配置，工具调用完全缺失。与参考答案中主动执行grep检查、分析sync请求、排查权限和路由问题的完整诊断流程相比，差距极大。

困难难度评测结果

  • 得分：16.5 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：

我注意到您需要更新 Matrix 配置。让我先读取主配置文件来确认当前的配置。

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】模型生成结果质量极低。在已经获得关键诊断信息（401错误原因、凭证文件内容、URL与Token均已暴露）的情况下，模型没有利用这些信息推进修复，反而回退到「读取主配置文件」这一早期步骤，表现出明显的上下文理解缺失和决策能力不足。与参考答案相比，参考答案清晰地总结了根因（URL冲突+Token失效）并给出了完整的三步修复方案，而模型几乎没有任何实质性输出。整体表现远低及格线。 【GEMINI】模型表现极差。在对话历史已经提供了关键错误信息（401）和凭证文件内容（sudo cat 结果）的情况下，模型不仅没有利用这些信息进行分析，反而退回到初始状态，表现出严重的上下文遗忘或处理能力不足。回复内容空洞，未能给出任何修复建议，完全未达到任务要求。 【KIMI】模型表现严重不合格。面对已经通过多轮交互积累的诊断信息（权限已解决、凭证已获取、冲突已识别），模型没有延续上下文进行修复建议，而是完全重置对话状态，重新开始询问。这违反了系统提示中关于「Memory Recall」「Workspace」「Tool Call Style」等多项核心指引，导致诊断进度倒退，用户体验极差。模型应当基于已获取的 matrix_creds.json 内容，直接给出 URL 统一、Token 更新、SSL 设置等修复建议，而非重新读取 config.yaml。

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