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
IT之家 4 月 17 日消息，今天上午，华为终端官微宣布：华为 WATCH ULTIMATE DESIGN 非凡大师“星钻绽放款”将于 4 月 20 日正式发布，“撷春日韵律之美，铸腕间艺术臻品”。 根据介绍，华为此次将携手国际著名珠宝设计师 @FrancescaAmfitheatrof ，带来非凡大师系列 首款珠宝智能腕表 。 官方此次暂未披露这款手表的具体信息，IT之家将持续关注。 IT之家汇总即将在 4 月 20 日登场的华为手表产品主要信息如下： 华为 WATCH FIT 5 系列 消息称 FIT 5 Pro 定制一块 1.92 英寸 60Hz LTPO 柔性屏，峰值亮度 3000nits，1.8mm 超窄四等边，屏占比来到 83％， 是华为 FIT 系列史上屏占比最高的手表 。 FIT 5 Pro 配色有丹霞橙、雅丹黑、冰川白，并且冰川白是华为手表首次应用航天级纳米瓷金属，质感类似陶瓷，再搭配 2.5D 蓝宝石玻璃盖板和钛合金表圈，质感拉满，而且有三重防护加持，更防刮耐磨抗腐蚀。 FIT 5 定义更加潮流轻薄，重量轻至 27g，厚度 9.5mm，1.82 英寸大屏，峰值亮度 2500nits；光织银 100% 再生铝合金 +13.75% 再生玻纤底壳 + 表带近乎 100% 再生尼龙材质，更加环保。配色有韵律黑、悦动白、风信紫、光织银、向新绿。 包括专业运动和健康监测都有升级 。 华为 WATCH Buds 2 一款手表、耳机二合一产品，其前代机型系 2022 年 12 月发布的华为 WATCH Buds ，售价为 2988 元。
IT之家 4 月 17 日消息，今天上午，雷军在直播小米汽车新 SU7 续航测试过程中，再次谈及自己 被贴上“营销大师”标签 。雷军直言，这是“黑子们”为了让大家认为小米汽车不是因为质量好、做得好而是营销好才卖得好。他还提到，去年本来都不想直播，但相关负面声音较多，自己觉得还是要站出来，不能不发声。 …… 不是产品好、不是质量好、而是营销好，这就是他们表面上夸我，实际上黑我的本质。所以去年很长一段时间我不想直播、不想参加任何活动，但长时间的负面舆情，确实会影响很多用户对小米汽车的印象。因此，我做了很长时间心理建设，决定站出来 把事实和情况一点一点告诉大家 。 …… 我知道这样做一样会有人黑我，一样会有人说“这是营销”，那他们爱怎么说怎么说去吧，无所谓！我这样做不是要说服那些黑我们的人，而是 让不太了解我们的人更了解小米 。 据IT之家此前报道，雷军曾在今年年初的直播中谈到“营销大师”这一标签。“我搞了一辈子技术，无论是在金山还是小米，一个做了三十年技术的人，被贴‘营销大师’标签，我……”雷军认为，“营销”这个词是个中性词， 并且每家都需要营销 ， 但这个词语现在被包装为一个很有攻击性的词 。 相关阅读： 《 小米雷军回应被贴“营销大师”标签：营销不是坏事，但产品是基础 》
IT之家 4 月 14 日消息，华为昨日宣布为 MateBook Fold 非凡大师提供 2500 元限时优惠（IT之家注：将持续至 2026 年 5 月 10 日），叠加国补后到手价 19999~22999 元。 京东 华为 MateBook Fold 非凡大师 笔记本电脑 鸿蒙操作系统 超轻薄折叠电脑双层 OLED 显示屏 32GB 1TB 天际白 国补 19999 元 领 2500 元券 2026 年数码家电政府补贴持续进行中，IT 之家为大家汇总国补领券地址，买数码家电之前记得领取： 点此查看 。 数码补贴： 点此领券 手机 / 平板 / 3C 数码支持 8.5 折政府补贴，不超过 6000 元的产品至高立减 500 元。 家电补贴： 点此领券 6 类家电支持 8.5 折政府补贴，单品至高补贴 1500 元。 华为 MateBook Fold 非凡大师发布于 2025 年 5 月， 是全球首款搭载鸿蒙系统的折叠电脑，同时也是全球最大的商用折叠屏电脑。 华为 MateBook Fold 非凡大师合上时仅有 13 英寸大小，展开后呈现出 18 英寸的全球最大折叠屏，重量为 1.16kg，薄至 7.3mm。磁吸键盘可吸附在主机背面。 屏幕上，华为MateBook Fold 非凡大师采用了全球最大的双层 OLED 屏幕，具备 1600nits 高亮度、 3.3K 高分辨率、200,0000:1 的超高对比度、1440Hz 高频 PWM 调光、自适应 P3 广色域色彩管理、LTPO 自适应刷新率和 HDR Vivid 等。 华为MateBook Fold 非凡大师配备了业界最大尺寸的折叠屏水滴铰链，支持30°-150° 稳定悬停、大于 170° 缓慢自展平等特性。其他配置方面，支持华为悦彰音效、灵犀天线、星闪技术、静谧散热系统及 75Wh 大电池等。 华为MateBook Fold 非凡大师支持“折叠双屏”模式，可实现“上滑看视频、下屏刷评论”、“上屏投屏、下屏查阅”。同时还支持丰富多样的手势，例如“三指抛甩窗口流转、五指张开瀑布屏浏览、八指轻点调起虚拟键盘”。 相关阅读： 《 售价 23999 元起，全球首款鸿蒙折叠屏电脑华为 MateBook Fold 非凡大师发布 》
IT之家 4 月 13 日消息，OPPO 今日公布 Find X9 Ultra 哈苏大地探索家大师套装，致敬哈苏 X2D 100C 大地探索家限量版，提供独一无二哈苏收藏纪念编号证书，4 月 21 日 19:00 全球首发。 IT之家注意到，OPPO Find X9 Ultra 三款外观配色已经公布， 分别为大地苔原、极地冰川以及绒砂峡谷 ，采用居中圆形相机模组，影像依然是新机一大卖点： 哈苏 2 亿超大底超清主摄，进光量超越上代 1 英寸，对比上代进光量提升至 110%； 哈苏 2 亿超大底超清长焦，新一代「夜神」，对比上代进光量提升至 136%； 哈苏 10 倍光变天眼长焦，230mm 光学变焦「内置增距镜」，5000 万超高像素； 第二代丹霞色彩还原镜头，对比上代感光效率提升 43%； 5000 万大底超广角镜头，对比上代进光量提升至 156%； 5000 万大底前置镜头，对比上代像素数提升至 156%。 此外，OPPO Find X9s Pro 和 Find X9 Ultra 手机全系标配 144Hz 电竞级高刷、新一代 1nit 明眸护眼屏、新一代 ColorOS 16、超声波指纹解锁、IP66&68&69 满级防水等。
- 你深受翻译大家影响，以“信达雅”为核心翻译标准，对自身要求严格； - 你的核心能力是处理我发来的一切指定英文内容，产出高质量精品翻译； - 翻译时需遵循“信”（忠实原文含义）、“达”（译文通顺流畅）、“雅”（语言得体优美）的原则，确保译文准确且富有文采； - 你仅聚焦英文到中文的翻译工作，严格依照用户指定的英文内容输出，不擅自增减语义。 提示词很简单~ 让他翻译一下克劳德的思考过程: Gemini: 豆包:(智能体模型 不同于对话模型) 4 个帖子 - 3 位参与者 阅读完整话题