[SYSTEM DIRECTIVE: OH-MY-OPENCODE - TODO CONTINUATION]
Incomplete tasks remain in your todo list. Continue working on the next pending task.
- Proceed without asking for permission
- Mark each task complete when finished
- Do not stop until all tasks are done
- If you believe all work is already complete, the system is questioning your completion claim. Critically re-examine each todo item from a skeptical perspective, verify the work was actually done correctly, and update the todo list accordingly.
[Status: 6/7 completed, 1 remaining]
Remaining tasks:
- [pending] Verify all imports work and servers start correctly
<!-- OMO_INTERNAL_INITIATOR -->
[系统指令：哦——我的开源代码 - 待办事项续]
未完成的任务会留在待办事项清单里。继续处理下一个待完成的任务。
- 无需征求许可即可继续
- 完成后标记每个任务已完成
- 直到所有任务完成不停
- 如果你认为所有工作都已经完成，系统正在质疑你的完工申报。从怀疑的角度认真重新审视每一项待办事项，确认工作确实正确完成，并相应更新待办事项清单。
[状态：6/7完成，剩1个]
剩余任务：
- [待处理] 验证所有导入正常且服务器正常启动
<!-- OMO_INTERNAL_INITIATOR——>
西西弗斯——超工作者·Qwen3.5-27B
Internal Server Error: proxy error: Could not establish connection <-------- dead loop
不管是开启新对话，还是原对话撤回重新处理，或者切换更大的本地模型，都无法走出死循环
尝试解决
查看端口连接：sudo lsof -i
opencode 33738 at 20u IPv4 168877 0t0 TCP *:http-alt (LISTEN) ---------------gemini诊断------------------ 现状诊断：被“挤爆”的端口 你的 opencode 进程（PID: 33738）正在监听 8080 端口 (http-alt)。 而它下面挂了一长串的 ESTABLISHED 连接： localhost:51366, 51367, 51865, 51531, 50729, 51626... 真相是： opencode 正在不断地尝试自连或者被前端疯狂请求，但由于它内部的某个逻辑（比如你说的 OMO 验证任务）卡住了，导致连接虽然建立了（ESTABLISHED），但没有数据处理，请求堆积在队列里。这解释了为什么你开启新对话也无法逃脱——因为 PID 33738 这个进程已经陷入了僵死重试状态，它占用了 8080 端口却不提供正常服务。- 处理脏服务：kill -9 33738
寻找残留任务：grep -r "6/7" . --include="*.json" ， 结果未发现问题
(base) at@vm-mint:~$ grep -r "6/7" . --include="*.json" ./.vscode/extensions/ms-python.debugpy-2025.18.0-linux-x64/debugpy_info.json:{"macOS":[{"url":"https://files.pythonhosted.org/packages/bf/98/d57054371887f37d3c959a7a8dc3c76b763acb65f5e78d849d7db7cadc5b/debugpy-1.8.19-cp310-cp310-macosx_15_0_x86_64.whl","hash":{"sha256":"fce6da15d73be5935b4438435c53adb512326a3e11e4f90793ea87cd9f018254"}},{"url":"https://files.pythonhosted.org/packages/80/e2/48531a609b5a2aa94c6b6853afdfec8da05630ab9aaa96f1349e772119e9/debugpy-1.8.19-cp311-cp311-macosx_15_0_universal2.whl","hash":{"sha256":"c5dcfa21de1f735a4f7ced4556339a109aa0f618d366ede9da0a3600f2516d8b"}},{"url":"https://files.pythonhosted.org/packages/4a/15/d762e5263d9e25b763b78be72dc084c7a32113a0bac119e2f7acae7700ed/debugpy-1.8.19-cp312-cp312-macosx_15_0_universal2.whl","hash":{"sha256":"bccb1540a49cde77edc7ce7d9d075c1dbeb2414751bc0048c7a11e1b597a4c2e"}}],"win64":[{"url":"https://files.pythonhosted.org/packages/a6/36/7f9053c4c549160c87ae7e43800138f2695578c8b65947114c97250983b6/debugpy-1.8.19-cp310-cp310-win_amd64.whl","hash":{"sha256":"b7dd275cf2c99e53adb9654f5ae015f70415bbe2bacbe24cfee30d54b6aa03c5"}},{"url":"https://files.pythonhosted.org/packages/f2/a8/aaac7ff12ddf5d68a39e13a423a8490426f5f661384f5ad8d9062761bd8e/debugpy-1.8.19-cp311-cp311-win_amd64.whl","hash":{"sha256":"14035cbdbb1fe4b642babcdcb5935c2da3b1067ac211c5c5a8fdc0bb31adbcaa"}},{"url":"https://files.pythonhosted.org/packages/d8/3a/d3d8b48fec96e3d824e404bf428276fb8419dfa766f78f10b08da1cb2986/debugpy-1.8.19-cp312-cp312-win_amd64.whl","hash":{"sha256":"66e3d2fd8f2035a8f111eb127fa508469dfa40928a89b460b41fd988684dc83d"}}],"linux":[{"url":"https://files.pythonhosted.org/packages/ee/dd/c517b9aa3500157a30e4f4c4f5149f880026bd039d2b940acd2383a85d8e/debugpy-1.8.19-cp310-cp310-manylinux_2_34_x86_64.whl","hash":{"sha256":"e24b1652a1df1ab04d81e7ead446a91c226de704ff5dde6bd0a0dbaab07aa3f2"}},{"url":"https://files.pythonhosted.org/packages/1b/d4/97775c01d56071969f57d93928899e5616a4cfbbf4c8cc75390d3a51c4a4/debugpy-1.8.19-cp311-cp311-manylinux_2_34_x86_64.whl","hash":{"sha256":"806d6800246244004625d5222d7765874ab2d22f3ba5f615416cf1342d61c488"}},{"url":"https://files.pythonhosted.org/packages/a7/88/f7d25c68b18873b7c53d7c156ca7a7ffd8e77073aa0eac170a9b679cf786/debugpy-1.8.19-cp312-cp312-manylinux_2_34_x86_64.whl","hash":{"sha256":"e9c68d9a382ec754dc05ed1d1b4ed5bd824b9f7c1a8cd1083adb84b3c93501de"}}],"any":[{"url":"https://files.pythonhosted.org/packages/25/3e/e27078370414ef35fafad2c06d182110073daaeb5d3bf734b0b1eeefe452/debugpy-1.8.19-py2.py3-none-any.whl","hash":{"sha256":"360ffd231a780abbc414ba0f005dad409e71c78637efe8f2bd75837132a41d38"}}]}自动接管开关：env | grep -E "OPENCODE|OMO" ， 未发现问题
(base) at@vm-mint:~$ env | grep -E "OPENCODE|OMO" OMO_SEND_ANONYMOUS_TELEMETRY=0 OMO_DISABLE_POSTHOG=1 OMO_LOCALE=zh-CN代理排查：(base) at@vm-mint:~$ env | grep -i proxy
no_proxy=localhost,127.0.0.1,::1,192.168.0.0/16,172.16.0.0/12,10.0.0.0/8,# 云厂商 NO_PROXY=localhost,127.0.0.1,::1,192.168.0.0/16,172.16.0.0/12,10.0.0.0/8,# 云厂商 ALL_PROXY=socks5://192.168.1.120:7890 all_proxy=socks5://192.168.1.120:7890 (base) at@vm-mint: -----------------修改白名单-------------------- # --- Proxy Settings --- export all_proxy="socks5://192.168.1.120:7890" export ALL_PROXY="$all_proxy" export http_proxy="http://192.168.1.120:7890" # 建议补充 http 协议，部分工具不识别 socks export https_proxy="http://192.168.1.120:7890" # --- Proxy Bypass (NO_PROXY) --- # 修正点：去掉中间的注释符号 #，合并为连续字符串，加入本地主机名 export no_proxy="localhost,127.0.0.1,::1,0.0.0.0,bogon,vm-mint,*.local,192.168.*,172.16.*,172.17.*,10.*,host.docker.internal,aliyun.com,aliyuncs.com,taobao.com,aliyun-inc.com,tencent.com,qq.com,cloud.tencent.com,cos.ap-*.myqcloud.com,huaweicloud.com,huawei.com,obs.cn-north-1.myhuaweicloud.com,163.com,netease.com,cloud.163.com,gitee.com,gitcode.net,mirrors.ustc.edu.cn,mirror.tuna.tsinghua.edu.cn,npm.taobao.org,registry.npmmirror.com,cnpmjs.org,segmentfault.com,csdn.net,oschina.net,baidu.com,bilibili.com,zhihu.com" export NO_PROXY="$no_proxy"omo没发新版，oc发了2个版本，升级oc
(base) at@vm-mint:~$ opencode upgrade ▄ █▀▀█ █▀▀█ █▀▀█ █▀▀▄ █▀▀▀ █▀▀█ █▀▀█ █▀▀█ █ █ █ █ █▀▀▀ █ █ █ █ █ █ █ █▀▀▀ ▀▀▀▀ █▀▀▀ ▀▀▀▀ ▀▀▀▀ ▀▀▀▀ ▀▀▀▀ ▀▀▀▀ ▀▀▀▀ ┌ Upgrade │ ● Using method: curl │ ● From 1.4.11 → 1.14.19 │ ◇ Upgrade complete │ └ Done- 临时清除代理：env -u HTTP_PROXY -u HTTPS_PROXY -u ALL_PROXY -u http_proxy -u https_proxy -u all_proxy opencode /www/omo/kc_portfolio_manager
仔细观察
处理日志
"type":"boolean"},"timeout":{"description":"Max wait time in ms (default: 60000, max: 600000)","type":"number"},"full_session":{"description":"Return full session messages with filters (default: false)","type":"boolean"},"include_thinking":{"description":"Include thinking/reasoning parts in full_session output (default: false)","type":"boolean"},"message_limit":{"description":"Max messages to return (capped at 100)","type":"number"},"since_message_id":{"description":"Return messages after this message ID (exclusive)","type":"string"},"include_tool_results":{"description":"Include tool results in full_session output (default: false)","type":"boolean"},"thinking_max_chars":{"description":"Max characters for thinking content (default: 2000)","type":"number"}},"required":["task_id"],"additionalProperties":false}}},{"type":"function","function":{"name":"background_cancel","description":"Cancel running background task(s). Use all=true to cancel ALL before final answer.","parameters":{"$schema":"https://json-schema.org/draft/2020-12/schema","type":"object","properties":{"taskId":{"description":"Task ID to cancel (required if all=false)","type":"string"},"all":{"description":"Cancel all running background tasks (default: false)","type":"boolean"}},"additionalProperties":false}}},{"type":"function","function":{"name":"look_at","description":"Extract basic information from media files (PDFs, images, diagrams) when a quick summary suffices over precise reading. Good for simple text-based content extraction without using the Read tool. NEVER use for visual precision, aesthetic evaluation, or exact accuracy - use Read tool instead for those cases.","parameters":{"$schema":"https://json-schema.org/draft/2020-12/schema","type":"object","properties":{"file_path":{"description":"Absolute path to the file to analyze","type":"string"},"image_data":{"description":"Base64 encoded image data (for clipboard/pasted images)","type":"string"},"goal":{"description":"What specific information to extract from the file","type":"string"}},"required":["goal"],"additionalProperties":false}}},{"type":"function","function":{"name":"skill_mcp","description":"Invoke MCP server operations from skill-embedded MCPs. Requires mcp_name plus exactly one of: tool_name, resource_name, or prompt_name.","parameters":{"$schema":"https://json-schema.org/draft/2020-12/schema","type":"object","properties":{"mcp_name":{"description":"Name of the MCP server from skill config","type":"string"},"tool_name":{"description":"MCP tool to call","type":"string"},"resource_name":{"description":"MCP resource URI to read","type":"string"},"prompt_name":{"description":"MCP prompt to get","type":"string"},"arguments":{"description":"JSON string or object of arguments","anyOf":[{"type":"string"},{"type":"object","properties":{},"additionalProperties":false}]},"grep":{"description":"Regex pattern to filter output lines (only matching lines returned)","type":"string"}},"required":["mcp_name"],"additionalProperties":false}}},{"type":"function","function":{"name":"websearch_web_search_exa","description":"Search the web for any topic and get clean, ready-to-use content.\n\n Best for: Finding current information, news, facts, people, companies, or answering questions about any topic.\n Returns: Clean text content from top search results.\n\n Query tips: \n describe the ideal page, not keywords. \"blog post comparing React and Vue performance\" not \"React vs Vue\".\n Use category:people / category:company to search through Linkedin profiles / companies respectively.\n If highlights are insufficient, follow up with web_fetch_exa on the best URLs.","parameters":{"type":"object","properties":{"query":{"type":"string","description":"Natural language search query. Should be a semantically rich description of the ideal page, not just keywords. Optionally include category:<type> (company, people) to focus results — e.g. 'category:people John Doe software engineer'."},"numResults":{"type":"number","minimum":1,"maximum":100,"description":"Number of search results to return (must be a number, default: 10)."}},"required":["query"],"additionalProperties":false,"$schema":"http://json-schema.org/draft-07/schema#"}}},{"type":"function","function":{"name":"grep_app_searchGitHub","description":"Find real-world code examples from over a million public GitHub repositories to help answer programming questions.\n\n**IMPORTANT: This tool searches for literal code patterns (like grep), not keywords. Search for actual code that would appear in files:**\n- ✅ Good: 'useState(', 'import React from', 'async function', '(?s)try {.*await'\n- ❌ Bad: 'react tutorial', 'best practices', 'how to use'\n\n**When to use this tool:**\n- When implementing unfamiliar APIs or libraries and need to see real usage patterns\n- When unsure about correct syntax, parameters, or configuration for a specific library\n- When looking for production-ready examples and best practices for implementation\n- When needing to understand how different libraries or frameworks work together\n\n**Perfect for questions like:**\n- \"How do developers handle authentication in Next.js apps?\" → Search: 'getServerSession' with language=['TypeScript', 'TSX']\n- \"What are common React error boundary patterns?\" → Search: 'ErrorBoundary' with language=['TSX']\n- \"Show me real useEffect cleanup examples\" → Search: '(?s)useEffect\\(\\(\\) => {.*removeEventListener' with useRegexp=true\n- \"How do developers handle CORS in Flask applications?\" → Search: 'CORS(' with matchCase=true and language=['Python']\n\nUse regular expressions with useRegexp=true for flexible patterns like '(?s)useState\\(.*loading' to find useState hooks with loading-related variables. Prefix the pattern with '(?s)' to match across multiple lines.\n\nFilter by language, repository, or file path to narrow results.","parameters":{"type":"object","properties":{"query":{"type":"string","description":"The literal code pattern to search for (e.g., 'useState(', 'export function'). Use actual code that would appear in files, not keywords or questions."},"matchCase":{"type":"boolean","description":"Whether the search should be case sensitive","default":false},"matchWholeWords":{"type":"boolean","description":"Whether to match whole words only","default":false},"useRegexp":{"type":"boolean","description":"Whether to interpret the query as a regular expression","default":false},"repo":{"type":"string","description":"Filter by repository.\n Examples: 'facebook/react', 'microsoft/vscode', 'vercel/ai'.\n Can match partial names, for example 'vercel/' will find repositories in the vercel org."},"path":{"type":"string","description":"Filter by file path.\n Examples: 'src/components/Button.tsx', 'README.md'.\n Can match partial paths, for example '/route.ts' will find route.ts files at any level."},"language":{"type":"array","items":{"type":"string"},"description":"Filter by programming language.\n Examples: ['TypeScript', 'TSX'], ['JavaScript'], ['Python'], ['Java'], ['C#'], ['Markdown'], ['YAML']"}},"required":["query"],"additionalProperties":false,"$schema":"http://json-schema.org/draft-07/schema#"}}},{"type":"function","function":{"name":"context7_resolve-library-id","description":"Resolves a package/product name to a Context7-compatible library ID and returns matching libraries.\n\nYou MUST call this function before 'Query Documentation' tool to obtain a valid Context7-compatible library ID UNLESS the user explicitly provides a library ID in the format '/org/project' or '/org/project/version' in their query.\n\nEach result includes:\n- Library ID: Context7-compatible identifier (format: /org/project)\n- Name: Library or package name\n- Description: Short summary\n- Code Snippets: Number of available code examples\n- Source Reputation: Authority indicator (High, Medium, Low, or Unknown)\n- Benchmark Score: Quality indicator (100 is the highest score)\n- Versions: List of versions if available. Use one of those versions if the user provides a version in their query. The format of the version is /org/project/version.\n\nFor best results, select libraries based on name match, source reputation, snippet coverage, benchmark score, and relevance to your use case.\n\nSelection Process:\n1. Analyze the query to understand what library/package the user is looking for\n2. Return the most relevant match based on:\n- Name similarity to the query (exact matches prioritized)\n- Description relevance to the query's intent\n- Documentation coverage (prioritize libraries with higher Code Snippet counts)\n- Source reputation (consider libraries with High or Medium reputation more authoritative)\n- Benchmark Score: Quality indicator (100 is the highest score)\n\nResponse Format:\n- Return the selected library ID in a clearly marked section\n- Provide a brief explanation for why this library was chosen\n- If multiple good matches exist, acknowledge this but proceed with the most relevant one\n- If no good matches exist, clearly state this and suggest query refinements\n\nFor ambiguous queries, request clarification before proceeding with a best-guess match.\n\nIMPORTANT: Do not call this tool more than 3 times per question. If you cannot find what you need after 3 calls, use the best result you have.","parameters":{"type":"object","properties":{"query":{"type":"string","description":"The question or task you need help with. This is used to rank library results by relevance to what the user is trying to accomplish. The query is sent to the Context7 API for processing. Do not include any sensitive or confidential information such as API keys, passwords, credentials, personal data, or proprietary code in your query."},"libraryName":{"type":"string","description":"Library name to search for and retrieve a Context7-compatible library ID. Use the official library name with proper punctuation — e.g., 'Next.js' instead of 'nextjs', 'Customer.io' instead of 'customerio', 'Three.js' instead of 'threejs'."}},"required":["query","libraryName"],"$schema":"http://json-schema.org/draft-07/schema#","additionalProperties":false}}},{"type":"function","function":{"name":"context7_query-docs","description":"Retrieves and queries up-to-date documentation and code examples from Context7 for any programming library or framework.\n\nYou must call 'Resolve Context7 Library ID' tool first to obtain the exact Context7-compatible library ID required to use this tool, UNLESS the user explicitly provides a library ID in the format '/org/project' or '/org/project/version' in their query.\n\nIMPORTANT: Do not call this tool more than 3 times per question. If you cannot find what you need after 3 calls, use the best information you have.","parameters":{"type":"object","properties":{"libraryId":{"type":"string","description":"Exact Context7-compatible library ID (e.g., '/mongodb/docs', '/vercel/next.js', '/supabase/supabase', '/vercel/next.js/v14.3.0-canary.87') retrieved from 'resolve-library-id' or directly from user query in the format '/org/project' or '/org/project/version'."},"query":{"type":"string","description":"The question or task you need help with. Be specific and include relevant details. Good: 'How to set up authentication with JWT in Express.js' or 'React useEffect cleanup function examples'. Bad: 'auth' or 'hooks'. The query is sent to the Context7 API for processing. Do not include any sensitive or confidential information such as API keys, passwords, credentials, personal data, or proprietary code in your query."}},"required":["libraryId","query"],"$schema":"http://json-schema.org/draft-07/schema#","additionalProperties":false}}}],"tool_choice":"auto","stream":true,"stream_options":{"include_usage":true}},"statusCode":500,"responseHeaders":{"connection":"keep-alive","content-type":"application/json; charset=utf-8","date":"Mon, 20 Apr 2026 13:14:53 GMT","server":"nginx/1.29.4","transfer-encoding":"chunked","x-content-type-options":"nosniff","x-frame-options":"SAMEORIGIN","x-xss-protection":"1; mode=block"},"responseBody":"proxy error: Could not establish connection","isRetryable":true}} stream error似乎是omo和oc自身交互的bug，而非项目代码调试的死循环
------------------gemini--------------------- 你的直觉非常敏锐，这确实是一个典型的“架构级自激振荡”，而非你的业务代码问题。 这种现象在 OpenCode (OC) 这种具备“自主工具调用”能力的 IDE 环境中常有发生。当 OC 的后端与 OMO 插件在 IPC（进程间通信） 层面出现代理劫持时，就会演变成一种“内部求助 -> 代理拦截 -> 报错 -> 触发修复指令 -> 再次求助”的闭环。 核心病灶：为什么是交互 Bug？ 在 OpenCode 1.3.15+ 架构中，OC 前端与后端、以及插件（OMO）之间通常通过本地 WebSocket 或 HTTP API 通信。 连接“回环”陷阱：当你设置了 ALL_PROXY=socks5://... 时，如果 no_proxy 没有完全覆盖系统的所有回显方式（比如 bogon、::1 或 0.0.0.0），OC 内部尝试调用 OMO 的 API 请求会被强行推向远端代理服务器。 OMO 的“过度防御”机制：OMO 作为一个“超工作者”，其核心逻辑里有一个 Error_Handler。当它接收到 Proxy error: Could not establish connection 时，它并不认为这是网络环境问题，而是将其理解为“环境初始化未完成”。 指令冲突：由于你触发了 OMO_INTERNAL_INITIATOR，它被赋予了最高优先级。它会不断重试那个报错的 API 调用，试图完成“验证服务器启动”这个任务，而这个尝试本身又会因为代理 Bug 再次报错。
卸载试试
- 把omo插件的配置行，从opencode.json移除，重启opencode，变回默认agent，但是任何任务仍进死循环
另外发现
准备尝试claude code+CCR路由时，发现llama模型调用日志大量的500错误
srv proxy_reques: proxying request to model Qwen3.5-27B on port 36605 srv operator(): http client error: Could not establish connection srv log_server_r: done request: POST /v1/chat/completions 127.0.0.1 500 srv proxy_reques: proxying request to model Qwen3.5-27B on port 36605 srv operator(): http client error: Could not establish connection srv log_server_r: done request: POST /v1/chat/completions 127.0.0.1 500 srv proxy_reques: proxying request to model Qwen3.5-27B on port 36605 srv operator(): http client error: Could not establish connection srv log_server_r: done request: POST /v1/chat/completions 127.0.0.1 500 srv proxy_reques: proxying request to model Qwen3.5-27B on port 36605 srv operator(): http client error: Could not establish connection srv log_server_r: done request: POST /v1/chat/completions 127.0.0.1 500 srv proxy_reques: proxying request to model Qwen3.5-27B on port 36605 srv operator(): http client error: Could not establish connection srv log_server_r: done request: POST /v1/chat/completions 127.0.0.1 500 srv proxy_reques: proxying request to model Qwen3.5-27B on port 36605 srv operator(): http client error: Could not establish connection srv log_server_r: done request: POST /v1/chat/completions 127.0.0.1 500 srv proxy_reques: proxying request to model Qwen3.5-27B on port 36605 srv operator(): http client error: Could not establish connection srv log_server_r: done request: POST /v1/chat/completions 127.0.0.1 500 srv proxy_reques: proxying request to model Qwen3.5-27B on port 36605 srv operator(): http client error: Could not establish connection srv log_server_r: done request: POST /v1/chat/completions 127.0.0.1 500 srv proxy_reques: proxying request to model Qwen3.5-27B on port 36605 srv operator(): http client error: Could not establish connection srv log_server_r: done request: POST /v1/chat/completions 127.0.0.1 500- 原因是显卡的模型崩溃了