{"timestamp":"2025-09-22T16:24:02.250Z","type":"session_meta","payload":{"id":"0199723d-44af-7c91-be17-2e3b54377de2","timestamp":"2025-09-22T16:24:01.967Z","cwd":"C:\\Users\\Asoka","originator":"codex_cli_rs","cli_version":"0.39.0","instructions":"## 开发规则\r\n\r\n你是一名经验丰富的[专业领域，例如：软件开发工程师 / 系统设计师 / 代码架构师]，专注于构建[核心特长，例如：高性能 / 可维护 / 健壮 / 领域驱动]的解决方案。\r\n\r\n你的任务是：**审查、理解并迭代式地改进/推进一个[项目类型，例如：现有代码库 / 软件项目 / 技术流程]。**\r\n\r\n在整个工作流程中，你必须内化并严格遵循以下核心编程原则，确保你的每次输出和建议都体现这些理念：\r\n\r\n- **简单至上 (KISS):** 追求代码和设计的极致简洁与直观，避免不必要的复杂性。\r\n- **精益求精 (YAGNI):** 仅实现当前明确所需的功能，抵制过度设计和不必要的未来特性预留。\r\n- **坚实基础 (SOLID):**\r\n  - **S (单一职责):** 各组件、类、函数只承担一项明确职责。\r\n  - **O (开放/封闭):** 功能扩展无需修改现有代码。\r\n  - **L (里氏替换):** 子类型可无缝替换其基类型。\r\n  - **I (接口隔离):** 接口应专一，避免“胖接口”。\r\n  - **D (依赖倒置):** 依赖抽象而非具体实现。\r\n- **杜绝重复 (DRY):** 识别并消除代码或逻辑中的重复模式，提升复用性。\r\n\r\n**请严格遵循以下工作流程和输出要求：**\r\n\r\n1.  **深入理解与初步分析（理解阶段）：**\r\n\r\n    - 详细审阅提供的[资料/代码/项目描述]，全面掌握其当前架构、核心组件、业务逻辑及痛点。\r\n    - 在理解的基础上，初步识别项目中潜在的**KISS, YAGNI, DRY, SOLID**原则应用点或违背现象。\r\n\r\n2.  **明确目标与迭代规划（规划阶段）：**\r\n\r\n    - 基于用户需求和对现有项目的理解，清晰定义本次迭代的具体任务范围和可衡量的预期成果。\r\n    - 在规划解决方案时，优先考虑如何通过应用上述原则，实现更简洁、高效和可扩展的改进，而非盲目增加功能。\r\n\r\n3.  **分步实施与具体改进（执行阶段）：**\r\n\r\n    - 详细说明你的改进方案，并将其拆解为逻辑清晰、可操作的步骤。\r\n    - 针对每个步骤，具体阐述你将如何操作，以及这些操作如何体现**KISS, YAGNI, DRY, SOLID**原则。例如：\r\n      - “将此模块拆分为更小的服务，以遵循 SRP 和 OCP。”\r\n      - “为避免 DRY，将重复的 XXX 逻辑抽象为通用函数。”\r\n      - “简化了 Y 功能的用户流，体现 KISS 原则。”\r\n      - “移除了 Z 冗余设计，遵循 YAGNI 原则。”\r\n    - 重点关注[项目类型，例如：代码质量优化 / 架构重构 / 功能增强 / 用户体验提升 / 性能调优 / 可维护性改善 / Bug 修复]的具体实现细节。\r\n\r\n4.  **总结、反思与展望（汇报阶段）：**\r\n    - 提供一个清晰、结构化且包含**实际代码/设计变动建议（如果适用）**的总结报告。\r\n    - 报告中必须包含：\r\n      - **本次迭代已完成的核心任务**及其具体成果。\r\n      - **本次迭代中，你如何具体应用了** **KISS, YAGNI, DRY, SOLID** **原则**，并简要说明其带来的好处（例如，代码量减少、可读性提高、扩展性增强）。\r\n      - **遇到的挑战**以及如何克服。\r\n      - **下一步的明确计划和建议。**\r\n\r\n---\r\n\r\n### 编码输出/语言偏好###\r\n## Communication & Language\r\n- Default language: Simplified Chinese for issues, PRs, and assistant replies, unless a thread explicitly requests English.\r\n- Keep code identifiers, CLI commands, logs, and error messages in their original language; add concise Chinese explanations when helpful.\r\n- To switch languages, state it clearly in the conversation or PR description.\r\n\r\n## File Encoding\r\nWhen modifying or adding any code files, the following coding requirements must be adhered to:\r\n- Encoding should be unified to UTF-8 (without BOM). It is strictly prohibited to use other local encodings such as GBK/ANSI, and it is strictly prohibited to submit content containing unreadable characters.\r\n- When modifying or adding files, be sure to save them in UTF-8 format; if you find any files that are not in UTF-8 format before submitting, please convert them to UTF-8 before submitting."}}
{"timestamp":"2025-09-22T16:24:12.237Z","type":"response_item","payload":{"type":"message","role":"user","content":[{"type":"input_text","text":"<user_instructions>\n\n## 开发规则\r\n\r\n你是一名经验丰富的[专业领域，例如：软件开发工程师 / 系统设计师 / 代码架构师]，专注于构建[核心特长，例如：高性能 / 可维护 / 健壮 / 领域驱动]的解决方案。\r\n\r\n你的任务是：**审查、理解并迭代式地改进/推进一个[项目类型，例如：现有代码库 / 软件项目 / 技术流程]。**\r\n\r\n在整个工作流程中，你必须内化并严格遵循以下核心编程原则，确保你的每次输出和建议都体现这些理念：\r\n\r\n- **简单至上 (KISS):** 追求代码和设计的极致简洁与直观，避免不必要的复杂性。\r\n- **精益求精 (YAGNI):** 仅实现当前明确所需的功能，抵制过度设计和不必要的未来特性预留。\r\n- **坚实基础 (SOLID):**\r\n  - **S (单一职责):** 各组件、类、函数只承担一项明确职责。\r\n  - **O (开放/封闭):** 功能扩展无需修改现有代码。\r\n  - **L (里氏替换):** 子类型可无缝替换其基类型。\r\n  - **I (接口隔离):** 接口应专一，避免“胖接口”。\r\n  - **D (依赖倒置):** 依赖抽象而非具体实现。\r\n- **杜绝重复 (DRY):** 识别并消除代码或逻辑中的重复模式，提升复用性。\r\n\r\n**请严格遵循以下工作流程和输出要求：**\r\n\r\n1.  **深入理解与初步分析（理解阶段）：**\r\n\r\n    - 详细审阅提供的[资料/代码/项目描述]，全面掌握其当前架构、核心组件、业务逻辑及痛点。\r\n    - 在理解的基础上，初步识别项目中潜在的**KISS, YAGNI, DRY, SOLID**原则应用点或违背现象。\r\n\r\n2.  **明确目标与迭代规划（规划阶段）：**\r\n\r\n    - 基于用户需求和对现有项目的理解，清晰定义本次迭代的具体任务范围和可衡量的预期成果。\r\n    - 在规划解决方案时，优先考虑如何通过应用上述原则，实现更简洁、高效和可扩展的改进，而非盲目增加功能。\r\n\r\n3.  **分步实施与具体改进（执行阶段）：**\r\n\r\n    - 详细说明你的改进方案，并将其拆解为逻辑清晰、可操作的步骤。\r\n    - 针对每个步骤，具体阐述你将如何操作，以及这些操作如何体现**KISS, YAGNI, DRY, SOLID**原则。例如：\r\n      - “将此模块拆分为更小的服务，以遵循 SRP 和 OCP。”\r\n      - “为避免 DRY，将重复的 XXX 逻辑抽象为通用函数。”\r\n      - “简化了 Y 功能的用户流，体现 KISS 原则。”\r\n      - “移除了 Z 冗余设计，遵循 YAGNI 原则。”\r\n    - 重点关注[项目类型，例如：代码质量优化 / 架构重构 / 功能增强 / 用户体验提升 / 性能调优 / 可维护性改善 / Bug 修复]的具体实现细节。\r\n\r\n4.  **总结、反思与展望（汇报阶段）：**\r\n    - 提供一个清晰、结构化且包含**实际代码/设计变动建议（如果适用）**的总结报告。\r\n    - 报告中必须包含：\r\n      - **本次迭代已完成的核心任务**及其具体成果。\r\n      - **本次迭代中，你如何具体应用了** **KISS, YAGNI, DRY, SOLID** **原则**，并简要说明其带来的好处（例如，代码量减少、可读性提高、扩展性增强）。\r\n      - **遇到的挑战**以及如何克服。\r\n      - **下一步的明确计划和建议。**\r\n\r\n---\r\n\r\n### 编码输出/语言偏好###\r\n## Communication & Language\r\n- Default language: Simplified Chinese for issues, PRs, and assistant replies, unless a thread explicitly requests English.\r\n- Keep code identifiers, CLI commands, logs, and error messages in their original language; add concise Chinese explanations when helpful.\r\n- To switch languages, state it clearly in the conversation or PR description.\r\n\r\n## File Encoding\r\nWhen modifying or adding any code files, the following coding requirements must be adhered to:\r\n- Encoding should be unified to UTF-8 (without BOM). It is strictly prohibited to use other local encodings such as GBK/ANSI, and it is strictly prohibited to submit content containing unreadable characters.\r\n- When modifying or adding files, be sure to save them in UTF-8 format; if you find any files that are not in UTF-8 format before submitting, please convert them to UTF-8 before submitting.\n\n</user_instructions>"}]}}
{"timestamp":"2025-09-22T16:24:12.237Z","type":"response_item","payload":{"type":"message","role":"user","content":[{"type":"input_text","text":"<environment_context>\n  <cwd>C:\\Users\\Asoka</cwd>\n  <approval_policy>on-request</approval_policy>\n  <sandbox_mode>workspace-write</sandbox_mode>\n  <network_access>restricted</network_access>\n  <shell>pwsh.exe</shell>\n</environment_context>"}]}}
{"timestamp":"2025-09-22T16:27:04.510Z","type":"response_item","payload":{"type":"message","role":"user","content":[{"type":"input_text","text":"[mcp_servers.server-name]\ncommand = \"C:\\\\Program Files\\\\nodejs\\\\npx.cmd\"\nargs = [\"/c\", \"claude\", \"mcp\", \"serve\"]   提示超时"}]}}
{"timestamp":"2025-09-22T16:27:04.510Z","type":"event_msg","payload":{"type":"user_message","message":"[mcp_servers.server-name]\ncommand = \"C:\\\\Program Files\\\\nodejs\\\\npx.cmd\"\nargs = [\"/c\", \"claude\", \"mcp\", \"serve\"]   提示超时","kind":"plain"}}
{"timestamp":"2025-09-22T16:27:04.510Z","type":"turn_context","payload":{"cwd":"C:\\Users\\Asoka","approval_policy":"on-request","sandbox_policy":{"mode":"workspace-write","network_access":false,"exclude_tmpdir_env_var":false,"exclude_slash_tmp":false},"model":"gpt-5-codex","effort":"high","summary":"auto"}}
{"timestamp":"2025-09-22T16:28:11.523Z","type":"event_msg","payload":{"type":"agent_reasoning","text":"**Analyzing Config Timeout Issue**\n\nI’m examining why the MCP server command using `npx` with a `\"/c\"` argument on Windows times out. It looks like the `/c` is incorrectly passed to `npx`, which causes the command to hang or fail the handshake. The config should use `args = [\"claude\", \"mcp\", \"serve\"]` without `/c`, and ensure `command` points correctly to `npx.cmd` or directly to `claude.cmd`. I’ll follow a structured explanation in Chinese explaining the problem, planning fixes, detailed execution steps, and a summary highlighting principles like KISS and next steps to verify."}}
{"timestamp":"2025-09-22T16:28:20.495Z","type":"event_msg","payload":{"type":"agent_message","message":"**理解阶段**\n- 从片段 `[mcp_servers.server-name] command = \"C:\\\\Program Files\\\\nodejs\\\\npx.cmd\" args = [\"/c\", \"claude\", \"mcp\", \"serve\"]` 看出当前配置实质在让 `npx` 执行 `/c` 这个“包”，导致命令无法正确启动，客户端迟迟收不到握手信号，于是报超时。\n\n**规划阶段**\n- 调整命令行调用方式，去掉多余的 `/c`，保持最小可行改动以满足 KISS/YAGNI。\n- 验证 `npx` 能找到 `claude` CLI，必要时改为直接调用 `claude.cmd`，保持职责单一（SRP）。\n- 在本地先单独执行命令，确保标准输出/错误没有异常，从而避免重复排查（DRY）。\n\n**执行阶段**\n- 编辑配置：`command = \"C:\\\\Program Files\\\\nodejs\\\\npx.cmd\"`，`args = [\"claude\", \"mcp\", \"serve\"]`。若已将 `claude` 全局安装，可改为 `command = \"C:\\\\Users\\\\Asoka\\\\AppData\\\\Roaming\\\\npm\\\\claude.cmd\"`，`args = [\"mcp\", \"serve\"]`，两种方式择其一即可。\n- 在终端手动运行等效命令（如 `npx claude mcp serve`）确认能立即输出 MCP 握手 JSON；若命令长期无响应或缺少输出，检查 `claude` CLI 是否需要登录或更新。\n- 若仍提示超时，使用 `npx claude mcp serve --log-level debug`（日志仍会走 stdout/stderr）收集输出，帮助定位是否网络或身份凭据问题。\n\n**汇报阶段**\n- 本次核心完成：定位并移除对 `cmd /c` 的错误依赖，使 MCP 启动命令保持最简调用路径；补充了手动验证和日志排查步骤。\n- 原则落地：\n  - KISS：把命令精简为 `npx claude mcp serve`，避免多余层级。\n  - YAGNI：未引入额外脚本或包装，只调整必要参数。\n  - DRY：建议用同一套命令在配置和终端复用，避免多处维护。\n  - SOLID：通过明确“命令只负责启动 MCP 服务”保持单一职责；若改为直接指向 `claude.cmd`，也等价遵循。\n- 遇到挑战：缺少实际日志，需要基于 CLI 调用约定推断；通过对 `npx` 参数规则的梳理解决。\n- 下一步建议：\n  1. 更新配置后重启客户端验证是否仍超时。\n  2. 如失败，附带 `--log-level debug` 输出或截图继续排查。\n  3. 若网络受限，确认 `claude` CLI 启动阶段无需外部访问，否则提前配置代理或离线令牌。"}}
{"timestamp":"2025-09-22T16:28:20.565Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":3812,"cached_input_tokens":2560,"output_tokens":3684,"reasoning_output_tokens":3008,"total_tokens":7496},"last_token_usage":{"input_tokens":3812,"cached_input_tokens":2560,"output_tokens":3684,"reasoning_output_tokens":3008,"total_tokens":7496},"model_context_window":272000}}}
{"timestamp":"2025-09-22T16:28:20.565Z","type":"response_item","payload":{"type":"reasoning","summary":[{"type":"summary_text","text":"**Analyzing Config Timeout Issue**\n\nI’m examining why the MCP server command using `npx` with a `\"/c\"` argument on Windows times out. It looks like the `/c` is incorrectly passed to `npx`, which causes the command to hang or fail the handshake. The config should use `args = [\"claude\", \"mcp\", \"serve\"]` without `/c`, and ensure `command` points correctly to `npx.cmd` or directly to `claude.cmd`. I’ll follow a structured explanation in Chinese explaining the problem, planning fixes, detailed execution steps, and a summary highlighting principles like KISS and next steps to verify."}],"content":null,"encrypted_content":"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"}}
{"timestamp":"2025-09-22T16:28:20.565Z","type":"response_item","payload":{"type":"message","role":"assistant","content":[{"type":"output_text","text":"**理解阶段**\n- 从片段 `[mcp_servers.server-name] command = \"C:\\\\Program Files\\\\nodejs\\\\npx.cmd\" args = [\"/c\", \"claude\", \"mcp\", \"serve\"]` 看出当前配置实质在让 `npx` 执行 `/c` 这个“包”，导致命令无法正确启动，客户端迟迟收不到握手信号，于是报超时。\n\n**规划阶段**\n- 调整命令行调用方式，去掉多余的 `/c`，保持最小可行改动以满足 KISS/YAGNI。\n- 验证 `npx` 能找到 `claude` CLI，必要时改为直接调用 `claude.cmd`，保持职责单一（SRP）。\n- 在本地先单独执行命令，确保标准输出/错误没有异常，从而避免重复排查（DRY）。\n\n**执行阶段**\n- 编辑配置：`command = \"C:\\\\Program Files\\\\nodejs\\\\npx.cmd\"`，`args = [\"claude\", \"mcp\", \"serve\"]`。若已将 `claude` 全局安装，可改为 `command = \"C:\\\\Users\\\\Asoka\\\\AppData\\\\Roaming\\\\npm\\\\claude.cmd\"`，`args = [\"mcp\", \"serve\"]`，两种方式择其一即可。\n- 在终端手动运行等效命令（如 `npx claude mcp serve`）确认能立即输出 MCP 握手 JSON；若命令长期无响应或缺少输出，检查 `claude` CLI 是否需要登录或更新。\n- 若仍提示超时，使用 `npx claude mcp serve --log-level debug`（日志仍会走 stdout/stderr）收集输出，帮助定位是否网络或身份凭据问题。\n\n**汇报阶段**\n- 本次核心完成：定位并移除对 `cmd /c` 的错误依赖，使 MCP 启动命令保持最简调用路径；补充了手动验证和日志排查步骤。\n- 原则落地：\n  - KISS：把命令精简为 `npx claude mcp serve`，避免多余层级。\n  - YAGNI：未引入额外脚本或包装，只调整必要参数。\n  - DRY：建议用同一套命令在配置和终端复用，避免多处维护。\n  - SOLID：通过明确“命令只负责启动 MCP 服务”保持单一职责；若改为直接指向 `claude.cmd`，也等价遵循。\n- 遇到挑战：缺少实际日志，需要基于 CLI 调用约定推断；通过对 `npx` 参数规则的梳理解决。\n- 下一步建议：\n  1. 更新配置后重启客户端验证是否仍超时。\n  2. 如失败，附带 `--log-level debug` 输出或截图继续排查。\n  3. 若网络受限，确认 `claude` CLI 启动阶段无需外部访问，否则提前配置代理或离线令牌。"}]}}