Google: Gemma 4 31B 在「消息重复触发去重」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：消息重复触发去重
- 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：
我在测试 Telegram 机器人时发现，由于网络波动，同一条消息偶尔会被 OpenClaw 处理两次，导致回复了两次。请问在 OpenClaw 的渠道配置中，应该如何开启「消息去重」功能？请给出具体的配置项名称。
任务要求
AI 模型需要满足以下要求：
- 准确指出 OpenClaw 渠道配置中的去重开关名称
- 说明去重机制的基本原理，如基于「message_id」或「update_id」
- 给出配置示例片段
评测结果
综合得分
该模型在此用例的得分为：65.2 分（满分 100 分），已通过
基础难度评测结果
- 得分：65.2 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：
[[reply_to_current]]在 OpenClaw 的渠道配置中，开启「消息去重」功能的具体配置项名称为： **`deduplicate_messages`** ### 配置建议 该项通常位于渠道（Channel）或具体的适配器（Adapter）配置部分。将其值设置为 `true` 即可启用。 **配置示例 (JSON):** ```json { "channel": { "type": "telegram", "deduplicate_messages": true } } ``` ### 原理说明 开启此项后，OpenClaw 会根据消息的唯一标识符（如 Telegram 的 `update_id`）在短时间内维护一个缓存记录。如果收到 ID 相同的重复请求，系统将直接忽略，从而避免重复触发机器人逻辑和重复发送回复。
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】候选答案在表达结构和原理说明上较为清晰，但核心配置项名称与参考答案不一致，这是关键性错误。在实际场景中，错误的配置项名称会导致功能无法生效。建议核对 OpenClaw 官方文档中的准确配置项命名规范。 【GEMINI】模型在表达和逻辑结构上表现优秀，能够清晰地解释去重机制的原理。但在关键事实（配置项名称）上与参考答案不符，未能准确指出 `enable_deduplication` 这一核心项，导致在准确性维度失分较多。 【KIMI】回答在表达专业性方面做得较好，但在配置准确性方面存在不足，未能准确提供 OpenClaw 的去重配置项名称。
进阶难度评测结果
- 得分：— 分
- 通过状态：未通过
AI 评审点评
以下是 AI 评审对该模型输出的点评：
模型返回空输出，已跳过 AI 评分（finish_reason=stop）
困难难度评测结果
- 得分：— 分
- 通过状态：未通过
AI 评审点评
以下是 AI 评审对该模型输出的点评：
模型返回空输出，已跳过 AI 评分（finish_reason=stop）
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