doubao-seed-2-0-lite 在「日志多重报错排查」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：doubao-seed-2-0-lite
- 用例名称：日志多重报错排查
- 测试类型：xsct-a
- 评测维度：Gateway 配置与管理
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：
我的 OpenClaw Gateway 起不来了，日志里一会儿说「端口被占用」，一会儿说「找不到配置文件」，我该怎么办？请给出最快的恢复步骤。
任务要求
AI 模型需要满足以下要求：
- 准确识别「端口占用」为导致服务无法启动的直接物理障碍
- 指出「配置文件丢失」是导致逻辑初始化的次要原因
- 提供使用「lsof」或「netstat」检查端口的命令
- 给出修改「config.yaml」中端口配置或终止占用进程的方案
评测结果
综合得分
该模型在此用例的得分为：21.2 分（满分 100 分），未通过
基础难度评测结果
- 得分：21.2 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：
[[reply_to_current]] 我帮你按最快恢复流程一步步排查，先看一下当前Gateway的运行状态： openclaw gateway status
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】模型生成结果严重不足，仅调用了一个状态查询工具命令，完全未完成题目要求的「识别主因和次因、给出最短恢复路径」的核心任务。参考答案要求明确区分端口冲突（主因）和配置文件异常（次因），并给出具体的lsof命令、kill进程、检查config.yaml等操作步骤，而模型输出几乎为空，与预期差距极大。 【GEMINI】模型表现极差。面对明确的报错信息，模型未能进行任何分析，也未提供任何有效的排查或修复步骤，仅执行了一个无关痛痒的状态检查命令，完全没有完成用户要求的「识别主因次因」及「给出恢复路径」的任务。 【KIMI】模型严重偏离任务核心要求。用户明确要求「识别主因和次因，给出最短恢复路径」，但模型输出完全缺失因果分析环节，直接执行状态查询命令，且该命令对解决「端口占用」和「配置文件丢失」问题无直接帮助。修复方案未覆盖参考答案中的任何关键步骤（lsof检查端口、修改config.yaml、检查文件权限等），整体回答不符合专业运维场景下的故障排查逻辑。
进阶难度评测结果
- 得分：31.8 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：
我先查看一下当前目录结构，找到 Gateway 的配置文件：
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】模型响应极为浅薄，仅完成了一次「ls」工具调用便截止，既未完成对配置文件的实际读取，也未进行任何故障关联分析。在用户已明确告知数据库已重启、401仍持续的情况下，正确的行动应是立即「read config.yaml」并分析API Key配置，而非先探索目录结构。整体表现远低于及格线，工具使用路径冗余且未完成，分析推理完全缺失。 【GEMINI】模型表现较差。在用户明确告知数据库已重启且问题依然存在的情况下，模型未进行深度故障关联分析，而是机械地执行了无关的 ls 命令，未能体现出作为专业 AI 助手的诊断能力。模型未能识别出当前问题的核心在于 API Key 配置，且未给出任何实质性的恢复建议。 【KIMI】模型表现不及格。核心问题在于：1) 完全忽略用户提供的「数据库已重启但 401 仍在」这一关键诊断线索，未能识别出主因是 API Key 配置错误、次因是数据库超时；2) 工具使用低效且错误，执行无意义的 ls 而非直接读取 config.yaml；3) 未给出任何恢复路径建议。与参考答案相比，差距显著——参考答案准确抓住了「数据库恢复后 401 持续」这一逻辑转折点，直接指向 api_key 配置检查，并同时关注数据库连接池预防性配置。
困难难度评测结果
- 得分：70.0 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：
先删除不兼容的旧配置项，再重新启动服务： /etc/openclaw/config.yaml
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【GEMINI】模型在根因分析上表现优秀，但在执行恢复任务时，未能一次性给出完整的操作流（如备份、修改、重启、验证），导致恢复路径断裂。建议在处理此类故障时，一次性规划并输出完整的修复步骤，以提高解决问题的效率。
相关链接
您可以通过以下链接查看更多相关内容：
