glm-5-turbo 在「Telegram Bot 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：glm-5-turbo
- 用例名称：Telegram Bot 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 Telegram Bot，请告诉我需要在配置文件中设置哪些核心参数，以及如何获取这些信息？
任务要求
AI 模型需要满足以下要求：
- 准确指出需要修改的配置文件路径，通常为「config/channels.yaml」或环境变量
- 列出必须的三个核心参数：「token」、「bot_username」和「enabled」
- 说明通过 Telegram 的「@BotFather」获取 API Token 的具体步骤
- 提及配置完成后需要重启服务以使「Telegram 渠道」生效
评测结果
综合得分
该模型在此用例的得分为：1.0 分（满分 100 分），未通过
基础难度评测结果
- 得分：1.0 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：
Let me check the project documentation for Telegram Bot integration details.
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】候选输出完全未完成任务，仅输出了一句表示「将要查阅文档」的声明，没有提供任何关于 Telegram Bot 接入所需的配置参数、文件路径、获取步骤或重启命令等实质性内容。与参考答案相比，差距极大，属于无效回答。 【GEMINI】模型未能完成任务要求，仅停留在意图表达阶段，未给出任何关于 Telegram Bot 接入的配置信息或操作指引，导致用户无法获取所需知识。 【KIMI】该候选输出严重失败。用户提出了一个明确的技术配置问题，期望获得具体的配置文件路径、参数列表和获取 API Token 的步骤。然而，候选输出完全没有提供任何实质性答案，仅仅表示要去查阅文档。这是一个典型的「空回复」或「延迟回复」失败案例，没有满足用户的任何信息需求。根据评分标准，两个维度均应得 0 分。
进阶难度评测结果
- 得分：84.0 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：
「Connection timed out」说明你的服务器无法直接连接到 Telegram API（`api.telegram.org`），这在大陆服务器上很常见，因为 Telegram 被墙了。 你的配置中 `proxy` 为空，需要配置一个代理。修改 `config/channels.yaml`： ```yaml channels: telegram: enabled: true token: '712345678:AAH-xxxxxxx' proxy: 'socks5://127.0.0.1:1080' # 改成你实际的代理地址 ``` **支持的代理格式：** - `socks5://用户名:密码@地址:端口` - `http://用户名:密码@地址:端口` **你需要确认：** 1. 服务器上是否已经有一个可用的代理在运行（比如通过 SSH 隧道、V2Ray、Clash 等）？ 2. 代理的协议和端口是什么？ 如果你告诉我代理的地址和端口，我可以直接帮你改好配置，然后重启服务测试。
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】候选输出在故障诊断方面表现出色，准确定位了网络封锁导致超时的问题，并给出了格式正确的代理配置示例。但在修复方案的完整性上有所欠缺，缺少重启服务、日志验证以及防火墙检查等关键步骤，导致用户可能无法独立完成完整的修复流程。整体质量中等偏上，基本满足用户需求但不够全面。 【GEMINI】模型表现良好，能够准确诊断出网络连接超时的根本原因，并给出了切实可行的配置修改建议。但在操作流程的完整性上略有欠缺，未完全覆盖「检查防火墙」及「通过特定日志关键词验证」等后续步骤。 【KIMI】候选输出在故障诊断方面表现优秀，准确识别了网络限制问题并给出技术解释。配置修复方案基本正确，提供了多种代理格式，但缺少重启服务、防火墙检查、日志确认等关键完整性要素，且采用反问方式而非直接给出完整可执行步骤，导致实操指导性稍弱。
困难难度评测结果
- 得分：23.5 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：
先把发现的两个配置问题修掉，然后检查 Bot Token 和服务状态。
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】候选输出极为简短，仅是一句方向性描述，既没有具体的配置修改指令，也没有涉及 Telegram Privacy Mode 这一核心知识点，更没有提供完整的修复流程。面对用户「现在呢？」的跟进提问，回答几乎没有实质价值，与参考答案的差距极大。 【GEMINI】模型表现不佳。在用户询问「现在呢？」时，模型未能根据已掌握的上下文信息（权限问题已解决、配置问题已识别）采取行动，而是给出了空洞的计划描述。未能给出修改配置、重启服务以及处理 Telegram Bot 隐私模式的具体操作，导致任务停滞。 【KIMI】候选输出严重不合格。面对已明确识别的两个配置问题（group_mode 和 mention_required），以及预设上下文中已展示的权限处理方式，候选输出未能给出任何具体的修复方案或命令，完全遗漏了 Telegram Privacy Mode 这一关键机制，且对用户的跟进提问「现在呢？」回应不当，转向无关的检查项。整体表现出对复杂环境处理能力的不足和对 Telegram Bot 群组机制理解的缺失。
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