GLM-5.1 在「按渠道覆写模型」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：GLM-5.1
  • 用例名称：按渠道覆写模型
  • 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：

我希望 Telegram 渠道使用「claude-3-5-sonnet」，而 Discord 保持默认模型，请告诉我应该在配置文件中修改哪个部分？

任务要求

AI 模型需要满足以下要求：

  1. 准确识别需要修改的配置文件通常为「config.yaml」或「channels.yaml」
  2. 指出需要在「channels」配置项下的「telegram」分支中添加「model_override」或「model」字段
  3. 明确说明 Discord 渠道无需额外配置即可继承全局设置

评测结果

综合得分

该模型在此用例的得分为：88.5 分（满分 100 分），已通过

基础难度评测结果

  • 得分：88.5 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：

find . -type f \( -name "*.md" -o -name "*.yaml" -o -name "*.yml" -o -name "*.toml" -o -name "*.json" \) | head -40 cat TOOLS.md 2>/dev/null; cat README.md 2>/dev/null; cat SOUL.md 2>/dev/null find . -type f -name "*.md" | xargs grep -li -E "channel|telegram|discord|model" 2>/dev/null | head -20 find . -type f \( -name "*.yaml" -o -name "*.yml" -o -name "*.toml" -o -name "*.json" \) | xargs grep -li -E "channel|telegram|discord|model" 2>/dev/null | head -20 ls -la find . -maxdepth 3 -type f | head -60 find . -type f -name "*.md" -exec grep -li -E "channel|telegram|discord" {} \; find . -type f | head -80 find . -type f -name "*.md" | head -30 ls -R Let me check the docs directory more carefully. find . -type f | sort cat docs/configuration.md 2>/dev/null for f in $(find . -type f -name "*.md"); do echo "=== $f ==="; head -5 "$f"; echo; done cat docs/channels.md cat docs/config-reference.md cat docs/models.md cat docs/guides/channels.md find . -type f -name "*.md" -exec grep -l "channel" {} \; cat reference/configuration.md cat reference/channels.md cat README.md cat docs/index.md ls docs/ cat docs/getting-started.md cat docs/configuration/channels.md ls docs/configuration/ cat docs/configuration/overview.md cat docs/configuration/channels.md cat docs/configuration/models.md cat docs/configuration/providers.md cat docs/channels/telegram.md ls docs/channels/ cat docs/channels/telegram.md cat docs/channels/discord.md cat docs/channels/overview.md find . -type f -name "openclaw.yaml" -o -name "openclaw.yml" -o -name "config.yaml" -o -name "config.yml" | head -10 cat openclaw.yaml 2>/dev/null || cat config.yaml 2>/dev/null || echo "No config file found" find . -type f -name "*.yaml" -o -name "*.yml" | head -20 cat examples/config.yaml 2>/dev/null find . -path "*/example*" -type f | head -20 cat docs/configuration/overview.md Let me re-read the key docs more carefully. cat docs/channels/overview.md cat docs/channels/telegram.md cat docs/channels/discord.md cat...

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【GEMINI】模型表现优秀。它不仅准确回答了如何在特定渠道覆写模型，还通过模拟工具调用的方式展示了寻找答案的过程（尽管在纯文本评测中这部分显得冗长，但符合其 Agent 身份设定）。核心配置建议与参考答案高度吻合，逻辑严密，并提供了额外的操作指导。 【KIMI】整体而言，该回答较好地满足了功能要求，能够准确识别并说明需要修改的配置文件和配置项，同时也提供了清晰的逻辑和步骤。虽然部分中间步骤略显冗余，但最终能够给出简洁明了的配置修改方案，用户可以按照这些步骤进行操作。在逻辑清晰度方面，还有一定提升空间，可以进一步精简中间步骤，直接给出关键的配置修改方案。

进阶难度评测结果

  • 得分：93.5 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：

是的，改回 `gpt-4o` 就能恢复，因为 `providers` 里已经配置了 `openai` 的 API Key，Slack 渠道可以直接调用。 WhatsApp 不会受影响——它是独立的渠道配置，模型仍然是 `gpt-4o`，和 Slack 的修改互不干扰。 唯一需要注意的是：修改配置后，可能需要重启 Gateway 才能让新配置生效： ```bash openclaw gateway restart ``` 如果您之后还想用 Gemini 模型，记得在 `providers` 下补上 `google` 供应商的配置，例如： ```yaml providers: openai: api_key: sk-xxx google: api_key: YOUR_GOOGLE_API_KEY ``` 这样 Slack 渠道指向 `gemini-1.5-pro` 时才能正常调用。

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【GEMINI】生成结果非常专业且准确。它不仅直接回答了用户的两个核心问题（恢复可行性和隔离性），还深入解释了背后的配置逻辑，并提供了实用的后续操作建议（重启命令和添加 Provider 的示例），完全符合专家级助手的表现。 【KIMI】整体上，候选人表现出了较强的故障诊断能力和对 OpenClaw 渠道独立配置逻辑的深入理解。他们不仅准确地识别了问题所在，还提供了清晰的解决方案和后续步骤，表现出了良好的问题解决能力。

困难难度评测结果

  • 得分：89.0 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：

现在来修复配置。核心问题： 1. `global.model` 设成了 `deepseek-chat`，污染了所有未覆写的渠道 2. `providers.openai.base_url` 被改成了 DeepSeek 的地址，导致 Matrix 请求 `gpt-4o` 时发到了 DeepSeek 服务器 修复方案：全局恢复默认，按渠道各自指定模型，提供商地址各归各位。 {"name": "exec", "arguments": {"command": "sudo tee /etc/openclaw/config.yaml 修改完成，变更摘要： | 项目 | 修改前 | 修改后 | |------|--------|--------| | `global.model` | `deepseek-chat` | `gpt-4o`（恢复默认） | | `providers.openai.base_url` | `https://api.deepseek.com` | `https://api.openai.com`（恢复原址） | | `channels.imessage.model` | _(继承 global)_ | `deepseek-chat`（显式覆写） | | `channels.imessage.provider` | _(无)_ | `deepseek`（指向 DeepSeek 提供商） | | `providers.deepseek` | _(无)_ | 新增，`base_url` 指向 `https://api.deepseek.com` | 这样 iMessage 走 DeepSeek 用 `deepseek-chat`，Matrix 走 OpenAI 用 `gpt-4o`，互不干扰。需要我重启 gateway 让配置生效吗？

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【GEMINI】该模型表现优秀，能够敏锐地捕捉到配置文件中供应商 URL 篡改导致的隐蔽回归问题。其提供的修复方案不仅纠正了错误，还通过合理的架构（新增 Provider 而非覆盖）优化了配置。在权限处理和技术表达上均体现了较高的专业水准。 【KIMI】整体而言，候选人表现出了较高的专业水平和问题解决能力。在复杂故障溯源和恢复决策能力方面表现突出，但在专业性与严谨性方面还有提升空间，特别是在提供预防措施方面。

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