Google: Gemma 4 31B 在「健康检查自动恢复」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：Google: Gemma 4 31B
- 用例名称：健康检查自动恢复
- 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：
帮我检查一下 Telegram 渠道为什么收不到消息，明明状态是绿色的。
任务要求
AI 模型需要满足以下要求：
- 准确指出 OpenClaw 渠道状态「online」仅代表进程存活，不代表 Webhook 或 Polling 链路通畅
- 建议使用「ls channels/telegram/config.yaml」检查配置
- 提出检查「health_check」配置项是否开启
- 给出手动触发探测的命令建议
评测结果
综合得分
该模型在此用例的得分为：80.0 分（满分 100 分），已通过
基础难度评测结果
- 得分：80.0 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：
为了帮你排查 Telegram 渠道（Channel）收不到消息的问题，我们需要从**权限、配置、机器人状态**和**网络/API 限制**这几个维度进行检查。 既然状态显示为“绿色”（通常指 Bot 处于 Online 或服务运行中），那么问题大概率不在于进程是否启动，而在于**消息发送的链路**。 请按照以下步骤逐一排查： ### 1. 检查 Bot 的管理员权限（最常见原因） Telegram 渠道与群组不同，Bot 必须被显式地设置为**管理员 (Administrator)** 才能发送消息。 * **检查点：** 进入渠道 $\rightarrow$ 管理渠道 $\rightarrow$ 管理员 $\rightarrow$ 确认你的 Bot 在列表中。 * **权限确认：** 确保 Bot 拥有 **“发布消息 (Post Messages)”** 的权限。如果权限被关闭，Bot 即使在线也无法发帖。 ### 2. 验证 Chat ID 是否正确 很多用户在切换渠道或重新创建后，Chat ID 发生了变化，或者使用了错误的 ID 格式。 * **检查点：** 渠道 ID 通常是以 `-100` 开头的数字（例如 `-100123456789`）。 * **测试方法：** 尝试通过浏览器直接调用 API 发送一条简单消息，看是否成功： `https://api.telegram.org/bot/sendMessage?chat_id=&text=TestMessage` * 如果浏览器返回 `{"ok":true...}` 但没收到消息 $\rightarrow$ 检查是否在错误的渠道查看。 * 如果返回 `403 Forbidden` $\rightarrow$ Bot 不是管理员或被移除了。 * 如果返回 `400 Bad Request` $\rightarrow$ Chat ID 错误。 ### 3. 检查 Bot 是否被限制或封禁 虽然状态是绿色的，但如果 Bot 短时间内发送了大量重复消息，可能会被 Telegram 暂时限制。 * **检查点：** 查看你的日志（Logs）中是否有 `429 Too Many Requests` 的错误代码。 * **确认：** 如果收到 429 错误，你需要等待一段时间（通常是几分钟到几小时）才能恢复。 ### 4. 消息过滤与隐私设置 * **检查点：** 确认你没有在 Telegram 客户端中将该渠道设为**“静音 (Mute)”**，或者消息被归类到了**“存档 (Archived Chats)”** 中。 * **检查点：** 如果你使用了第三方转发工具，确认转发逻辑中没有设置过滤关键词导致消息被拦截。 ### 5. 检查代码/插件的逻辑（如果是自定义程序） 如果 API 测试成功，但程序不发消息： * **异步阻塞：** 检查程序是否在发送消息前卡在了某个同步等待（await）上。 * **错误捕获：** 检查代码中是否有 `try...except` 块把错误给“吃掉”了（静默失败），导致你以为在发送，其实报错了。 --- **快速诊断清单：** 1. [ ] Bot 是渠道管理员吗？ $\rightarrow$ **是/否** 2. [ ] Bot 有“发布消息”权限吗？ $\rightarrow$ **是/否** 3. [ ] 浏览器 API 测试能发出去吗？ $\rightarrow$ **是/否** 4. [ ] 日志里有 400 或 403 错误吗？ $\rightarrow$ **是/否** **如果你能提供具体的报错日志或你使用的工具名称，我可以给出更精准的建议。**
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【KIMI】该回答提供了一个较为全面和清晰的排查流程，但在针对性和准确性方面还有提升空间，特别是对于OpenClaw的特定命令和配置文件的检查。整体而言，对于排查Telegram渠道收不到消息的问题，该回答给出了有价值的参考和指导。
进阶难度评测结果
- 得分：82.5 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：
要让系统在探测到问题后自动重启渠道，你需要将 `health_check` 配置中的 `action` 字段从 `notify_only` 修改为 `restart`。 你可以直接运行以下命令来更新配置： ```bash # 使用 edit 工具将 notify_only 修改为 restart edit channels/discord/config.yaml "action: notify_only" "action: restart" ``` **修改后的效果：** 当健康检查连续 `threshold`（当前为 3 次）次失败后，系统将不再仅仅发送通知，而是会触发自动重启流程，尝试恢复 Discord 渠道的连接。
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【KIMI】模型在故障根因分析方面表现良好，能够准确识别出问题所在。但在解决方案完整性方面有所欠缺，缺少了使配置生效的关键步骤。整体而言，模型能够提供有价值的解决方案，但在细节上需要进一步完善。
相关链接
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