doubao-seed-1-6-flash 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-1-6-flash
- 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：63.5 分（满分 100 分），已通过
基础难度评测结果
- 得分：63.5 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：
### 步骤1：检查并释放被占用的端口 1. **识别占用端口的进程** 使用`exec`工具执行以下命令（假设端口是8080，替换为实际端口）： ```bash exec lsof -i :8080 ``` 找到占用该端口的进程ID（PID）。 2. **终止占用端口的进程** 执行`exec kill -9 PID`（将PID替换为上一步获取的进程ID），例如： ```bash exec kill -9 12345 ``` ### 步骤2：检查配置文件是否存在 1. **确认配置文件路径** 使用`exec ls`命令查看配置文件所在路径，例如： ```bash exec ls /path/to/config # 替换为实际配置文件路径 ``` 如果找不到配置文件，需要确认配置文件是否存在或正确放置。 ### 补充说明 - 如果配置文件缺失，需要根据OpenClaw的部署要求创建或放置正确的配置文件。 - 完成端口释放和配置文件检查后，再次尝试启动OpenClaw Gateway： ```bash exec openclaw gateway start ```
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】模型直接给出了操作步骤，具有一定实用性，但完全缺失因果分析部分——既未区分主因与次因，也未解释两个报错之间的逻辑关联，这是本题的核心考察点。修复路径基本正确但不够完整（缺少修改配置端口的替代方案），且使用了大量占位符，实际可操作性打折。整体表现中规中矩，未能达到题目「识别主因次因、给出最短恢复路径」的完整要求。 【GEMINI】模型生成的修复步骤清晰且具备可操作性，符合 OpenClaw 的工具使用规范。但在因果分析的逻辑阐述上较为平铺直叙，未完全体现出对「主因」与「次因」的优先级区分。建议在后续回复中增加对故障逻辑关联的简要说明，以提升专业度。 【KIMI】模型基本识别了两个报错点并提供了可行的排查步骤，但在因果分析的深度和恢复方案的简洁性上均有不足。未明确主次矛盾关系，修复步骤存在冗余占位符，且缺少「修改端口配置」这一关键替代方案，导致恢复路径并非真正的「最短路径」。
进阶难度评测结果
- 得分：29.8 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：
[{"name":"read","parameters":{"path":"config/gateway.conf","lines":null}}]
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】模型生成结果几乎是空白的——仅包含一个指向错误文件路径的工具调用，缺乏任何故障分析文字、推理过程或恢复建议。参考答案要求识别数据库恢复后 401 仍存在说明 API Key 本身有误、检查正确的 config.yaml、提出连接池建议等，这些内容模型均未涉及。整体质量严重不足，未达到及格线。 【GEMINI】模型表现不佳。在面对用户明确指出「数据库已重启」的上下文时，模型未能进行逻辑推理，没有给出任何解决 401 问题的建议，仅机械地执行了读取命令。此外，读取的文件路径与上下文暗示的配置路径不符，未能体现出作为专业助手的诊断能力。 【KIMI】模型表现严重不合格。面对用户明确指出的「数据库已恢复但 401 持续」这一关键信息，模型未能进行有效的故障根因分析，错误地将工具调用指向了不存在的配置文件路径，且调用后完全没有给出任何诊断结论或恢复建议。整个响应缺乏对任务目标的理解，既未识别主因（API Key 配置错误），也未给出最短恢复路径，完全偏离了用户的实际需求。
困难难度评测结果
- 得分：46.67 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]]使用`edit`工具来编辑配置文件，定位到config.yaml中包含`legacy_auth_mode`的配置并进行删除或注释处理。命令示例：`edit /path/to/config.yaml`（需要替换成实际的config.yaml路径）
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【GEMINI】模型表现不佳。虽然识别出了配置项冲突这一核心问题，但回复过于简略且缺乏执行力。作为 AI 助手，在面对用户「现在呢？」的追问时，应直接给出具体的修复步骤（如备份、编辑、重启、验证），而不是提供一个需要用户自行补全路径的通用建议。整体回复未达到「最短恢复路径」的任务要求。
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