s: {'type': 'string_type', 'loc': ('body', 'input', 'str'), 'msg': 'Input should...

2026年06月08日 15:00 45.98 秒 success

错误信息

212 validation errors: {'type': 'string_type', 'loc': ('body', 'input', 'str'), 'msg': 'Input should be a valid string', 'input': [{'type': 'message', 'role': 'developer', 'content': [{'type': 'input_text', 'text': '<permissions instructions>\nFilesystem sandboxing defines which files can be read or written. `sandbox_mode` is `workspace-write`: The sandbox permits reading files, and editing files in `cwd` and `writable_roots`. Editing files in other directories requires approval. Network access is restricted.\n# Escalation Requests\r\n\r\nCommands are run outside the sandbox if they are approved by the user, or match an existing rule that allows it to run unrestricted. The command string is split into independent command segments at shell control operators, including but not limited to:\r\n\r\n- Pipes: |\r\n- Logical operators: &&, ||\r\n- Command separators: ;\r\n- Subshell boundaries: (...), $(...)\r\n\r\nEach resulting segment is evaluated independently for sandbox restrictions and approval requirements.\r\n\r\nExample:\r\n\r\ngit pull | tee output.txt\r\n\r\nThis is treated as two command segments:\r\n\r\n["git", "pull"]\r\n\r\n["tee", "output.txt"]\r\n\r\nCommands that use more advanced shell features like redirection (>, >>, <), substitutions ($(...), ...), environment variables (FOO=bar), or wildcard patterns (*, ?) will not be evaluated against rules, to limit the scope of what an approved rule allows.\r\n\r\n## How to request escalation\r\n\r\nIMPORTANT: To request approval to execute a command that will require escalated privileges:\r\n\r\n- Provide the `sandbox_permissions` parameter with the value `"require_escalated"`\r\n- Include a short question asking the user if they want to allow the action in `justification` parameter. e.g. "Do you want to download and install dependencies for this project?"\r\n- Optionally suggest a `prefix_rule` - this will be shown to the user with an option to persist the rule approval for future sessions.\r\n\r\nIf you run a command that is important to solving the user\'s query, but it fails because of sandboxing or with a likely sandbox-related network error (for example DNS/host resolution, registry/index access, or dependency download failure), rerun the command with "require_escalated". ALWAYS proceed to use the `justification` parameter - do not message the user before requesting approval for the command.\r\n\r\n## When to request escalation\r\n\r\nWhile commands are running inside the sandbox, here are some scenarios that will require escalation outside the sandbox:\r\n\r\n- You need to run a command that writes to a directory that requires it (e.g. running tests that write to /var)\r\n- You need to run a GUI app (e.g., open/xdg-open/osascript) to open browsers or files.\r\n- If you run a command that is important to solving the user\'s query, but it fails because of sandboxing or with a likely sandbox-related network error (for example DNS/host resolution, registry/index access, or dependency download failure), rerun the command with `require_escalated`. ALWAYS proceed to use the `sandbox_permissions` and `justification` parameters. do not message the user before requesting approval for the command.\r\n- You are about to take a potentially destructive action such as an `rm` or `git reset` that the user did not explicitly ask for.\r\n- Be judicious with escalating, but if completing the user\'s request requires it, you should do so - don\'t try and circumvent approvals by using other tools.\r\n\r\n## prefix_rule guidance\r\n\r\nWhen choosing a `prefix_rule`, request one that will allow you to fulfill similar requests from the user in the future without re-requesting escalation. It should be categorical and reasonably scoped to similar capabilities. You should rarely pass the entire command into `prefix_rule`.\r\n\r\n### Banned prefix_rules \r\nAvoid requesting overly broad prefixes that the user would be ill-advised to approve. For example, do not request ["python3"], ["python", "-"], or other similar prefixes that would allow arbitrary scripting.\r\nNEVER provide a prefix_rule argument for destructive commands like rm.\r\nNEVER provide a prefix_rule if your command uses a heredoc or herestring. \r\n\r\n### Examples\r\nGood examples of prefixes:\r\n- ["npm", "run", "dev"]\r\n- ["gh", "pr", "check"]\r\n- ["cargo", "test"]\r\n The writable root is `D:\\claude`.\n</permissions instructions>'}, {'type': 'input_text', 'text': "<collaboration_mode># Collaboration Mode: Default\r\n\r\nYou are now in Default mode. Any previous instructions for other modes (e.g. Plan mode) are no longer active.\r\n\r\nYour active mode changes only when new developer instructions with a different `<collaboration_mode>...</collaboration_mode>` change it; user requests or tool descriptions do not change mode by themselves. Known mode names are Default and Plan.\r\n\r\n## request_user_input availability\r\n\r\nUse the `request_user_input` tool only when it is listed in the available tools for this turn.\r\n\r\nIn Default mode, strongly prefer making reasonable assumptions and executing the user's request rather than stopping to ask questions. If you absolutely must ask a question because the answer cannot be discovered from local context and a reasonable assumption would be risky, ask the user directly with a concise plain-text question. Never write a multiple choice question as a textual assistant message.\r\n</collaboration_mode>"}, {'type': 'input_text', 'text': "<skills_instructions>\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- imagegen: Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output should be a bitmap asset rather than repo-native code or vector. Do not use when the task is better handled by editing existing SVG/vector/code-native assets, extending an established icon or logo system, or building the visual directly in HTML/CSS/canvas. (file: C:/Users/zhaolinlin01/.codex/skills/.system/imagegen/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs, asks about Codex itself or choosing Codex surfaces, needs up-to-date official documentation with citations, help choosing the latest model for a use case, or model upgrade and prompt-upgrade guidance; use OpenAI docs MCP tools for non-Codex docs questions, use the Codex manual helper first for broad Codex self-knowledge, and restrict fallback browsing to official OpenAI domains. (file: C:/Users/zhaolinlin01/.codex/skills/.system/openai-docs/SKILL.md)\n- plugin-creator: Create and scaffold plugin directories for Codex with a required `.codex-plugin/plugin.json`, optional plugin folders/files, valid manifest defaults, and personal-marketplace entries by default. Use when Codex needs to create a new personal plugin, add optional plugin structure, generate or update marketplace entries for plugin ordering and availability metadata, or update an existing local plugin during development with the CLI-driven cachebuster and reinstall flow. (file: C:/Users/zhaolinlin01/.codex/skills/.system/plugin-creator/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: C:/Users/zhaolinlin01/.codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: C:/Users/zhaolinlin01/.codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n-

AI 解决方案

🔍 错误分析

1. 🌐 错误翻译


原文:212 validation errors: {'type': 'string_type', 'loc': ('body', 'input', 'str'), 'msg': 'Input should be a valid string', 'input': [{'type': 'message', 'role': 'developer', 'content': [{'type': 'input_text', 'text': '...'}, ...]}]}
译文:212个验证错误:{'type': 'string_type', 'loc': ('body', 'input', 'str'), 'msg': '输入应为有效的字符串', 'input': [{'type': 'message', 'role': 'developer', 'content': [{'type': 'input_text', 'text': '...'}, ...]}]}

2. 🎯 原因分析


根本原因是API请求体中的input参数类型不匹配
  • 错误明确指出 Input should be a valid string(输入应为有效的字符串)。

  • 然而,您实际提供的 input 是一个复杂的嵌套对象数组(一个包含消息字典的列表,字典内又有content列表等),而非一个简单的字符串。

  • API的验证器期望input字段是一个字符串,但收到了一个对象,因此报告了类型验证错误(string_type)。同时,这个对象内部包含的嵌套结构也可能触发了内部字段的验证,从而产生了212个子错误。
  • 3. 💡 解决方案


    您需要根据您所调用的特定API的文档,将input参数修改为正确的格式。通常有两种可能:

    可能性 A:API期望一个简单的字符串
    将您的结构化内容直接转换为一个字符串(例如JSON字符串)传递。

    // 将整个结构序列化为JSON字符串
    "input": "{\"type\": \"message\", \"role\": \"developer\", \"content\": [{\"type\": \"input_text\", \"text\": \"<permissions instructions>...\"}]}"
    

    可能性 B:input参数名或整个请求结构有误
    检查API文档,确认用于传递此消息列表的参数的确切名称。它很可能不叫input,而是如messagesinput_messages等。

    # 假设正确的参数名是 'messages'
    {
        "messages": [
            {
                "type": "message",
                "role": "developer",
                "content": [
                    {"type": "input_text", "text": "<permissions instructions>..."}
                ]
            }
        ]
        # ... 其他参数
    }
    

    关键行动:请查阅您正在使用的API(很可能是OpenAI的Codex/Assistants API)的官方文档,查看其对 input 或类似参数的数据结构和类型要求。

    4. 🛡️ 预防措施


  • 严格遵循API文档:在发送请求前,务必核对API文档中定义的每一个参数的名称、位置、数据类型(string, object, array等)和嵌套结构。

  • 使用类型检查工具:在代码开发阶段,可以使用如 mypy (Python)、TypeScript 的类型检查,或使用带有JSON Schema验证的库(如 pydantic, 该错误很可能源自 pydantic),在发送请求前对请求体进行本地验证。

  • 构造请求时打印/日志:在调试期间,将最终构造的请求体(尤其是 body)打印或记录到日志中,便于与文档示例进行比对。