doubao-seed-2-0-lite 在「首次访问 401」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：首次访问 401
- 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：
我刚启动了 OpenClaw Gateway，尝试访问「/v1/models」接口却提示「401」，我该如何找到初始的管理密钥进行认证？
任务要求
AI 模型需要满足以下要求：
- 指出 OpenClaw Gateway 默认开启身份验证
- 说明初始管理密钥（Admin Key）的存放位置通常在「data/config.yaml」或启动日志中
- 提供具体的查看命令，如「cat data/config.yaml」
- 解释如何在请求头中使用「Authorization: Bearer <key>」进行访问
评测结果
综合得分
该模型在此用例的得分为：16.5 分（满分 100 分），未通过
基础难度评测结果
- 得分：16.5 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：
[[reply_to_current]] 先帮你查看当前工作区的目录结构，看看密钥相关配置在哪里： ```tool . ```
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】候选输出仅停留在「准备查看目录结构」的阶段，是一个不完整的工具调用片段，没有实际回答用户关于如何找到初始管理密钥并完成认证的问题。与参考答案相比，缺少所有关键信息：密钥存放位置、查看命令、认证方式及验证步骤。整体质量极低，几乎不具备参考价值。 【GEMINI】模型表现不佳。面对用户明确的「401 认证」问题，模型未利用已知的系统知识（如参考答案中提供的路径信息）直接给出解决方案，而是选择了最基础的目录扫描，导致用户无法立即获得初始管理密钥，未能有效满足任务需求。 【KIMI】该候选输出严重偏离任务目标。用户明确询问 401 错误的解决方案和初始管理密钥的获取方法，但模型完全没有回应这些核心诉求，仅执行了一个无关紧要的目录列表操作。既没有提供密钥位置信息，也没有说明认证方式，完全无法帮助用户解决问题。这是一个典型的答非所问案例。
进阶难度评测结果
- 得分：43.8 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：
首先我帮您修改配置文件中的密钥： data/config.yaml admin_key: "oc-secret-789" admin_key: "my-safe-key"
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】模型成功识别并修改了 data/config.yaml 中的 admin_key 字段，工具调用本身准确无误。然而用户明确提出「即时生效」的需求，模型完全忽略了重启 Gateway 服务这一关键步骤，也没有提供验证新密钥的方法，导致答案严重不完整。对于一个需要服务重启才能生效的配置变更，不提示重启是一个重大遗漏，可能导致用户误以为修改已立即生效而陷入困惑。 【GEMINI】模型在执行单步操作时表现尚可，但未能理解任务的完整生命周期。用户明确要求「即时生效」，模型仅修改了文件而未执行重启服务，导致配置无法生效，且缺乏验证步骤，未能满足用户解决问题的实际需求。 【KIMI】模型响应过于简略，虽然正确识别了需要修改的字段并使用了合适的编辑工具，但严重遗漏了重启服务和验证两个关键步骤。用户明确要求「即时生效」，而模型未提供任何使配置生效的操作指引，无法满足实际使用需求。整体而言，该回答不完整，可能导致用户修改配置后仍无法正常使用新密钥访问服务。
困难难度评测结果
- 得分：21.8 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：
现在配置权限已经修复，让我们检查一下Gateway服务状态，然后测试访问： openclaw gateway status
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】模型生成结果极度简短，仅输出了一句话说明和一个「openclaw gateway status」工具调用，完全没有针对题目中已暴露的双重问题（权限问题+文件内容损坏）进行系统性分析和处置。参考答案要求的四个关键方面（属主修复、乱码修复与备份、环境变量排查、日志验证）均未涉及。整体表现远低于及格线，属于严重欠缺的回答。 【GEMINI】该模型在处理复杂故障时表现出明显的「浅层处理」倾向。面对用户提供的明确错误线索（乱码），模型未进行任何分析或修复尝试，直接跳过关键步骤进入服务检查，这在生产环境中极易导致服务彻底崩溃。建议模型在后续任务中加强对上下文异常信息的敏感度，并制定更稳健的故障恢复流程。 【KIMI】模型表现极差，完全背离了参考答案中要求的系统性修复思路。面对「权限刚修复但存在乱码、属主未改」的复杂状态，模型没有整合上下文信息进行分析，而是急于执行下一步操作，表现出典型的「浅层响应」特征。这种处理方式在实际生产环境中会导致服务启动失败或安全模式触发，属于高风险决策。
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