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linux.do · 2026-04-18 12:59:31+08:00 · tech

之前用古法注册机弄了点GPT的Free账号,然后自己搭了个sub2api进行反代。在CC中调用时,发现sub2api的使用记录里的缓存值一直是一个固定值,似乎没有命中更多缓存。 这也导致每次请求消耗的额度很高,二十几个账号的额度很快就没了。 虽然Free账号额度本来也比较少,但还是想请教下各位佬友,有什么办法能提高这个缓存token命中率吗?或者CC的配置中需要加什么特殊的值吗? 3 个帖子 - 2 位参与者 阅读完整话题

linux.do · 2026-04-18 11:51:58+08:00 · tech

先说说使用环境:自己的单个GPT PRO账号------CPA转接(这里主要是为了统一代理,不用每个机器装一个代理)------Axonhub(因为还有其他模型,一起管理)------opencode+OMO 在两台开发机上都发现同样的问题(不同的OC版本,一个1.3.17,一个1.4.8):经常出现如图所示的报错,尤其感觉是写入长文本或者一条回复比较长报错概率会更大,非常影响开发。 我又分析了一下请求,似乎是思考/输出太长,openai先返回了一个空响应,但是在OC侧被错误处理了? 请各位大师帮忙看看! 我逐步审视: Axonhub接收到的相应如下: { id: "resp_0cc95817ee988d150169e25f7278ec8199a1176c6b7dafb37b" model: "gpt-5.4" object: "response" output[ ] status: "in_progress" created_at: 1776443251 } OC显示报错文本如下: Type validation failed: Value: {"error":{"code":"internal_server_error","message":"unexpected EOF","type":""}}. Error message: [ { "code": "invalid_union", "errors": [ [ { "code": "invalid_value", "values": [ "response.output_text.delta" ], "path": [ "type" ], "message": "Invalid input: expected \"response.output_text.delta\"" }, { "expected": "string", "code": "invalid_type", "path": [ "item_id" ], "message": "Invalid input: expected string, received undefined" }, { "expected": "string", "code": "invalid_type", "path": [ "delta" ], "message": "Invalid input: expected string, received undefined" } ], [ { "code": "invalid_value", "values": [ "response.completed", "response.incomplete" ], "path": [ "type" ], "message": "Invalid option: expected one of \"response.completed\"|\"response.incomplete\"" }, { "expected": "object", "code": "invalid_type", "path": [ "response" ], "message": "Invalid input: expected object, received undefined" } ], [ { "code": "invalid_value", "values": [ "response.failed" ], "path": [ "type" ], "message": "Invalid input: expected \"response.failed\"" }, { "expected": "object", "code": "invalid_type", "path": [ "response" ], "message": "Invalid input: expected object, received undefined" } ], [ { "code": "invalid_value", "values": [ "response.created" ], "path": [ "type" ], "message": "Invalid input: expected \"response.created\"" }, { "expected": "object", "code": "invalid_type", "path": [ "response" ], "message": "Invalid input: expected object, received undefined" } ], [ { "code": "invalid_value", "values": [ "response.output_item.added" ], "path": [ "type" ], "message": "Invalid input: expected \"response.output_item.added\"" }, { "expected": "number", "code": "invalid_type", "path": [ "output_index" ], "message": "Invalid input: expected number, received undefined" }, { "code": "invalid_type", "expected": "object", "path": [ "item" ], "message": "Invalid input: expected object, received undefined" } ], [ { "code": "invalid_value", "values": [ "response.output_item.done" ], "path": [ "type" ], "message": "Invalid input: expected \"response.output_item.done\"" }, { "expected": "number", "code": "invalid_type", "path": [ "output_index" ], "message": "Invalid input: expected number, received undefined" }, { "code": "invalid_type", "expected": "object", "path": [ "item" ], "message": "Invalid input: expected object, received undefined" } ], [ { "code": "invalid_value", "values": [ "response.function_call_arguments.delta" ], "path": [ "type" ], "message": "Invalid input: expected \"response.function_call_arguments.delta\"" }, { "expected": "string", "code": "invalid_type", "path": [ "item_id" ], "message": "Invalid input: expected string, received undefined" }, { "expected": "number", "code": "invalid_type", "path": [ "output_index" ], "message": "Invalid input: expected number, received undefined" }, { "expected": "string", "code": "invalid_type", "path": [ "delta" ], "message": "Invalid input: expected string, received undefined" } ], [ { "code": "invalid_value", "values": [ "response.custom_tool_call_input.delta" ], "path": [ "type" ], "message": "Invalid input: expected \"response.custom_tool_call_input.delta\"" }, { "expected": "string", "code": "invalid_type", "path": [ "item_id" ], "message": "Invalid input: expected string, received undefined" }, { "expected": "number", "code": "invalid_type", "path": [ "output_index" ], "message": "Invalid input: expected number, received undefined" }, { "expected": "string", "code": "invalid_type", "path": [ "delta" ], "message": "Invalid input: expected string, received undefined" } ], [ { "code": "invalid_value", "values": [ "response.image_generation_call.partial_image" ], "path": [ "type" ], "message": "Invalid input: expected \"response.image_generation_call.partial_image\"" }, { "expected": "string", "code": "invalid_type", "path": [ "item_id" ], "message": "Invalid input: expected string, received undefined" }, { "expected": "number", "code": "invalid_type", "path": [ "output_index" ], "message": "Invalid input: expected number, received undefined" }, { "expected": "string", "code": "invalid_type", "path": [ "partial_image_b64" ], "message": "Invalid input: expected string, received undefined" } ], [ { "code": "invalid_value", "values": [ "response.code_interpreter_call_code.delta" ], "path": [ "type" ], "message": "Invalid input: expected \"response.code_interpreter_call_code.delta\"" }, { "expected": "string", "code": "invalid_type", "path": [ "item_id" ], "message": "Invalid input: expected string, received undefined" }, { "expected": "number", "code": "invalid_type", "path": [ "output_index" ], "message": "Invalid input: expected number, received undefined" }, { "expected": "string", "code": "invalid_type", "path": [ "delta" ], "message": "Invalid input: expected string, received undefined" } ], [ { "code": "invalid_value", "values": [ "response.code_interpreter_call_code.done" ], "path": [ "type" ], "message": "Invalid input: expected \"response.code_interpreter_call_code.done\"" }, { "expected": "string", "code": "invalid_type", "path": [ "item_id" ], "message": "Invalid input: expected string, received undefined" }, { "expected": "number", "code": "invalid_type", "path": [ "output_index" ], "message": "Invalid input: expected number, received undefined" }, { "expected": "string", "code": "invalid_type", "path": [ "code" ], "message": "Invalid input: expected string, received undefined" } ], [ { "code": "invalid_value", "values": [ "response.output_text.annotation.added" ], "path": [ "type" ], "message": "Invalid input: expected \"response.output_text.annotation.added\"" }, { "code": "invalid_type", "expected": "object", "path": [ "annotation" ], "message": "Invalid input: expected object, received undefined" } ], [ { "code": "invalid_value", "values": [ "response.reasoning_summary_part.added" ], "path": [ "type" ], "message": "Invalid input: expected \"response.reasoning_summary_part.added\"" }, { "expected": "string", "code": "invalid_type", "path": [ "item_id" ], "message": "Invalid input: expected string, received undefined" }, { "expected": "number", "code": "invalid_type", "path": [ "summary_index" ], "message": "Invalid input: expected number, received undefined" } ], [ { "code": "invalid_value", "values": [ "response.reasoning_summary_text.delta" ], "path": [ "type" ], "message": "Invalid input: expected \"response.reasoning_summary_text.delta\"" }, { "expected": "string", "code": "invalid_type", "path": [ "item_id" ], "message": "Invalid input: expected string, received undefined" }, { "expected": "number", "code": "invalid_type", "path": [ "summary_index" ], "message": "Invalid input: expected number, received undefined" }, { "expected": "string", "code": "invalid_type", "path": [ "delta" ], "message": "Invalid input: expected string, received undefined" } ], [ { "code": "invalid_value", "values": [ "response.reasoning_summary_part.done" ], "path": [ "type" ], "message": "Invalid input: expected \"response.reasoning_summary_part.done\"" }, { "expected": "string", "code": "invalid_type", "path": [ "item_id" ], "message": "Invalid input: expected string, received undefined" }, { "expected": "number", "code": "invalid_type", "path": [ "summary_index" ], "message": "Invalid input: expected number, received undefined" } ], [ { "code": "invalid_value", "values": [ "response.apply_patch_call_operation_diff.delta" ], "path": [ "type" ], "message": "Invalid input: expected \"response.apply_patch_call_operation_diff.delta\"" }, { "expected": "string", "code": "invalid_type", "path": [ "item_id" ], "message": "Invalid input: expected string, received undefined" }, { "expected": "number", "code": "invalid_type", "path": [ "output_index" ], "message": "Invalid input: expected number, received undefined" }, { "expected": "string", "code": "invalid_type", "path": [ "delta" ], "message": "Invalid input: expected string, received undefined" } ], [ { "code": "invalid_value", "values": [ "response.apply_patch_call_operation_diff.done" ], "path": [ "type" ], "message": "Invalid input: expected \"response.apply_patch_call_operation_diff.done\"" }, { "expected": "string", "code": "invalid_type", "path": [ "item_id" ], "message": "Invalid input: expected string, received undefined" }, { "expected": "number", "code": "invalid_type", "path": [ "output_index" ], "message": "Invalid input: expected number, received undefined" }, { "expected": "string", "code": "invalid_type", "path": [ "diff" ], "message": "Invalid input: expected string, received undefined" } ], [ { "code": "invalid_value", "values": [ "error" ], "path": [ "type" ], "message": "Invalid input: expected \"error\"" }, { "expected": "number", "code": "invalid_type", "path": [ "sequence_number" ], "message": "Invalid input: expected number, received undefined" } ], [ { "expected": "string", "code": "invalid_type", "path": [ "type" ], "message": "Invalid input: expected string, received undefined" } ] ], "path": [], "message": "Invalid input" } ] 1 个帖子 - 1 位参与者 阅读完整话题

linux.do · 2026-04-17 23:03:48+08:00 · tech

想使用WARP connector连接下本地设备和一个在香港的server,因为server所在的网络比较特殊,只允许80和443的出口流量,所以cloudflared tunnel需要的7844端口用不了,但是WARP应该只需要80或者443的出口流量(我不太确定,我安装之后可以在cloudflare的网站上看到我的设备在线,也能进行test,感觉没有问题),但是还是没办法连接,问了下AI,基本排查了以下问题: splittunnel配置问题,我本地使用的include模式,已经把WARP分配的IP网段包含进去了; 已经开启了WARP to WARP功能,各个WARP设备应该可以相互连接 没有设定任何的访问policy,整个组织只有我一个用户 使用的都是MASQUE协议 1 个帖子 - 1 位参与者 阅读完整话题

linux.do · 2026-04-17 03:32:35+08:00 · tech

由于个人需要,想问一下有没有佬可以帮忙,报酬好商量。具体的需求是实现全自动上机+执行脚本,需要有前端网页以及后端程序,我的构想是这样的,客户访问我们的自助上机网页,输入信息后,服务器会把指定下发给脚本,脚本根据下发的指令进行操作,是一款游戏脚本。预算1W以内 实在是不知道咋描述我的需求了,图片是AI润色后的,有违规告诉我,我可以删掉。 16 个帖子 - 10 位参与者 阅读完整话题

linux.do · 2026-04-16 23:36:53+08:00 · tech

我们知道苹果手机的快捷指令有很多用处,我最近发现我手机里被各种截屏给填满了,今天想起来苹果的快捷指令功能,于是做了一个简单的脚本,因为我截屏大多数时候是为了分享给别人所以我这里把这个截屏给复制到我剪切板了,方便我直接粘贴到微信或者企业微信,同时在截屏之后将这个截屏选择删除或者不删除,下面就是操作流程 快捷指令 这个是 iCloud 链接可以直接使用 这是整个快捷指令流程,这里建议去手机设置里面找到“辅助功能” 然后点击进去找到“触碰” 下拉到最底部找到“背部触碰” 这里可以使用三次或者两次都可以,进入这里找到我们刚才导入进去的快捷指令,就可以实现通过背部触碰截屏加上将图片保存在剪切板里,并且最后删除图片 1 个帖子 - 1 位参与者 阅读完整话题

linux.do · 2026-04-16 18:18:15+08:00 · tech

各位佬能帮忙看看这个是怎么回事吗? 自从某个时间点开始,我电脑上的IDE软件(VScode, Cursor, Windsurf, TraeCN\Trae)总是时不时的弹出 共享后台进程意外终止。请重新启动应用程序以进行恢复。 而且只要有一个IDE出现这个问题会连带着其他IDE一起意外终止 以下是VScode的DevTools的Console 中间省略重复的下图 VScode安装的拓展如下图 电脑配置如下图(没用图吧工具箱 ) 1 个帖子 - 1 位参与者 阅读完整话题

www.ithome.com · 2026-04-16 16:48:39+08:00 · tech

IT之家 4 月 16 日消息,据央广网报道,近日,一起由 AI 大模型引发的“乌龙付款”事件在网络引起热议。 IT之家参考报道获悉,广州某工程公司的植先生因工程急需,需要为三名员工购买团体人身意外伤害保险,但当时已是深夜,无法联系上保险公司人工客服。情急之下,他向 AI 大模型求助。将自己的需求一一说明后,大模型给出了三套方案。 植先生提供的对话截图显示,他与 AI 大模型的第一句对话为:“为挖机司机购买 150 万元团队险”,此后又根据大模型提问不断补充信息,在提供了投保人信息、企业营业执照等信息后,大模型生成了一份保障期限为 2 个月、3 人合计总保费为 1600 余元的保单,并称“请完成保费支付,支付后系统将在 1 小时内生成电子保单”。随后植先生回复“付款码”, 大模型随即给出一个保费支付二维码,并表示:“我现在发送收款付款码,你转账即可,转好告知我。” 植先生回忆,付款时他发现二维码指向的是个人账户,他说心里虽然有疑虑,但是事出紧急难以核实,出于对平台的信任和对保险方案的认可,他还是付了款。第二天,植先生并没有从保险公司官网查询到保单信息,他再三追问, 大模型仍然表示“保单已成功生成,未收到短信属于系统下发延迟,不影响保单有效性” 。 意识到有问题的植先生联系收款方,对方最初也是一头雾水,在了解情况后认为现因 AI 模型展示给植先生的二维码很可能源于自己早年公开发布在开源库或博客的收款二维码。该二维码被大模型的训练语料库收录,在“代购”保险交互中产生幻觉,进而误导其他用户扫码付款。 对此,涉事大模型平台对央广网回应称,经核实, 该案例系用户与 AI 多轮对话后,模型产生幻觉导致 。目前,关于模型幻觉的问题,所有的中外模型都存在,还没有完善的技术解决方案。该案例中的问题已第一时间修复。目前,当用户询问个人付款地址、付款二维码时,模型不会再给出个人公开信息的二维码。

linux.do · 2026-04-16 14:07:55+08:00 · tech

抽奖主题:[gemini pro一年 pixel渠道 1个] 又掉到2级了,各位佬们麻烦帮忙点下赞,谢谢 奖品详情: [奖品1]:[gemini pro一年pixel渠道 1个] 活动时间: 开始时间:[ Thu, Apr 16, 2026 2:06 PM CST ] 截止时间:[ Fri, Apr 17, 2026 2:06 PM CST ] 参与方式: 在本贴下回复“任意内容”即可参与。 抽奖规则: 每位用户仅允许参与一次。 将使用 LINUX DO 抽奖工具 在所有回复中随机抽取中奖者。 注意事项: 本活动将在活动截止时间后关闭回帖,以确保公正性。 中奖者将在活动结束后在本帖公布,并通过论坛站内信由发起人通知领奖方式。 所有规则及抽奖结果由 @xiaowuwwww 及论坛 管理团队 最终解释。 发起人承诺: 作为本次抽奖的发起人 @xiaowuwwww ,我承诺本话题的抽奖活动严格遵守 LINUX DO 社区抽奖规则 。因违反上述规定引发的公平性争议或其他问题,均由我独立承担相应的道德与法律责任。 期待您的积极参与,祝您好运!如有任何疑问,欢迎随时联系 @xiaowuwwww 或论坛 管理团队 。 366 个帖子 - 363 位参与者 阅读完整话题

linux.do · 2026-04-15 22:04:05+08:00 · tech

本人是半吊子选手,如果有讲的不对的地方还请各位佬帮忙指正,谢谢! 月初有幸过了甲骨文注册,升级了账号,开了一个顶格免费服务器,在Claude大好人(个人账号免费的Sonnet 4.6)的热心帮助下成功搭建了猫生第一个节点,用了一周了感觉没啥问题了,我把大概的经过发出来给各位佬进行汇报! 服务器配置:Oracle Cloud ARM64 Ubuntu 24.04, OCPU count = 4, Network bandwidth (Gbps) = 4, Memory (GB) = 24GB 我的设备是mac pro,用的自带的终端 SSH连接服务器,第一次登陆要进行系统更新 (跳过)2. 安装 Shadowsocks-libev和v2ray-plugin 准备好自己的域名,在CF上进行DNS解析指向自己的服务器IP(类型 = A,值 = IP,TTL = 自动) 在Oracle上开放端口(Virtual Cloud Networks - Security Lists - Add Ingress Rules),80端口是证书验证,443端口是代理一会儿会用到,再通过任意邮箱申请证书 - 不知道啥原因只申请到了3个月的证书,但提示我说certbot会自动续期,所以应该问题不大 (跳过)5. 配置Shadowsocks 这里我想使用CF优选域名,感觉可能被封的概率小一点儿?所以开始换方案了,协议从Shadowsocks改成VLESS + WebSocket + TLS,然后是Xray + CF橙色云朵开启 Xray安装+配置+启动:Active: active (running) CF优选IP:下载CloudflareSpeedTest工具,我看半天没看懂,说GitHub被墙了下载失败,然后找到了站里其他大佬发的网站 https://stock.hostmonit.com/CloudFlareYes ,找自己速度快延迟低的IP就行,然后下一步配置小火箭的时候要用(说实话我感觉速度和直连差不多) 配置小火箭:添加节点,类型 = VLESS,地址 = CF优选IP,端口 = 443,传输 = websocket,SNI = 自己的域名,TLS开启,允许不安全保持关闭,多路复用和TCP快速打开保持默认关闭 大功告成 最后,关于流量限额,免费账号应该每个月有10TB的出站流量,可以在Oracle的Cost Analysis进行查询,记得把cost改成usage,然后看Outbound Data Transfer (GB Months) 仅限交流研究,不要从事任何非法活动! 3 个帖子 - 2 位参与者 阅读完整话题