网页版PRO的知识库是2026年4月，难道也在灰度V4吗
回答和之前的V3完全不一样
本帖最后由 jyj256 于 2026-8-2 10:17 编辑
novem 发表于 2026-8-2 10:03
网页版PRO的知识库是2026年4月，难道也在灰度V4吗
回答和之前的V3完全不一样 ...
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**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**qnAblZ0X9oFlXmfe8p7tX3nDV4yYsc593aDd8Ry6MA3Mp82jQTmcMvPpsS8WyrjdYp7F3ahBdkqSgL7DKTyg1j3Cz7gtzkPbtnKi5D/LOnY0BdO130SetjkEeWV7Vp1QebPMTqXZOKlHp1NpR7tfl8TrPp1LRcg7lNdtQJvzlqNrzKbcZ98OGey0nXdc863b1eNbXQUyRUfd9jGscdx4T9qth/2WmHrNO31AMAiAAAiBw9giMJ05un9snTs//8j6t/GnWJET0Zo/ujH6qVz9xOqTdP63Rjb8eER0f0nezL+jB/S9od++wPLliu4Y3Rm+TdbsTCicGBKa9t4mmgGM3BElbO+3TiF6bHCwPb95+4JWsSpt/rsPXEmQay81F4FQHjd1rE2jHQIXrpiSLZVUJ19A4iG4v0DNGDlyIjK7Nmq2xf0DoxFvSNw7etB7nPPSxDgxzoBr0Ob6R5c5jd/LBsR8kCa+WhU/cVwZevSpB6UQgoRr7XSe4rn2S+1wSp/2tql3FhMc6+5fyP4d31x8qls2YmA8pog6ZU4WH1u3ZXJXV/TY4YwDftVf1TezIzVluSciKfbmGOkk2S/8rtlwxyNuc0fT1S3OYso7Y9ai2tx4LmV/SiXI9rvf6LPh3NQ4iKHbWPnHyePDrfkqGW8cIxQUIgAAIgMAZJrBQ4vTmYIc2Vj8wr9txQOM9IUrvmQ8FxvwdqnX9HacYSHz21YxurF+ijVuf0mcfX6M/rK/RhWsP6fkvaUQOUmLCm9mUTTvVkcDBDGzciJvAxNSpLrxNNAUeMWhVn2hK09E2UrE+TrVP6TS21PKGr+sAxqstQc++PBXhgFMFGalRCXYqKWzfDm2rXxBkmSpQdIPJavy68it1Jkmp7y143dPdK2+46jFyfKOpr+ycxKrDUs/HYKt93akoYR0V73LXPxtqY++p4Lenw2FStNZzIsnryQoNNW8WFOZL5bNGp9Vh7WeBVftYX/PlNoMfHjk2lE6mM2tHLEz9Fdmhb/XreI2c9DQsJJ+mn6mi4aPWEpHTtPHsSk+BcoKbGjdtU72Oj7pzf9V/Ndbti/MdpyyTfaTqH9vn7SPKP5w+CBocQQAEQAAEzj6B+ROnw5DMXKQbM/1dJrUZN8zi5qQDCV1FkrDtA/X6Xd7wPiBT/vNT+mR9jTb0d6GCsM5m1gtetf5y3gY85V7nrLfR6sCN66iN1wtuuMzbsNsyL7Hr9tMEQX4fOGieK3ApnxjL0wEODOsgSanr2RfbL8BdyQ6nc/VBj00lZ5FLv2/R5/PrZ0pww0qPkePHTX0lyz9dnKcE+Dm4HPKL7ngX/UFePe9ZRxoDOefEW49Lmlfs64oJj7OuZwBEvVMSB93MGz/Wk/sX5cq8E5vL07ww1mV+x/ubdL1iJxz4fpadLKnXCG1gPrd2hOIoa8Z/umD7INzfpO2tzcGnx2IHi02cm/HWjGvbmvVLuLdrVSOXmZT1I/dB62vkZwB84o1X6YuVTdXTopa9lzgNy+jtNdZKXIEACIAACJxVAvMlTpw0rdHG1kHz3aN+UBM3pzvf6sQo4oxJU5uExQ1vzf2O08svr9DKh4/tK4EquNID1d1kdaV8HgMAE1jke50TT68OhFMzw8YLDJw2rcY2cIp14i9EsY7q0+YYxM37N6Si1DbI6CeouW4vEKuCSA6ocrC0APcKzuRxnsS5Ej5y6ekW7uF1pzqQz6xErrbJ8aemvrTrHZV/TW0r9pZkIAlnWSUp6Kk05aZNFZhKsJ/G3iTe2R/0d1Yqn0v+JUlM0Rv1+IF6HdCrwDizr9vrPtt517IKbaV+8uWtg/R325JcSZR69nO5yCi9smfWjnBvfyv0pS0P99qxT7bpvw3n+Fv7RC59MCHjo/wr2jdVfzWWtnPpyrHRrZcK2ZZ6fOU6sNFj4zGJ45P9KY1P60dqbDxmQzbiHgiAAAiAwJkiMD1xOj6g7Y2YNNW//xCIvP7rTVpZV0GJYPrpMV1ufkWPiOTJ1Vf2yVVsdkiPPqx+ZS/J44CgShB6nwJ6Qa2Y1R7n3LSDAG8TzcGY1qA2cO/+YAAggUA85k1ei5fzyh5OpiRokzrqyPe9pGZKmQRSbpCmlIz+HHnFfQqLgT5FzYG344vWrHdyVftY9M8SaEXG5boJaLU/VOMXDGzqyxM2l4Fl6bVtO23blPsxqJzrg4QUxJvX/rhP5Ts4nk+yndmfvGC2jCW3z3Xl+1T9Vw1Lf2I/tW2SuJU6Xp9jO5l31tbQMrQp45tlJT/O/BKHfJ0rqj5MmHdiR2lu7ZPy2i/lx2WMfsffvMTJ9FH7KytLXCfYHhMSGct529l1sHma6/WlKmvnw7CvRZbV+FYyhTeOIAACIAAC54PAtMTpl5g0vXfrqX3Soxn99Jiurl6k+snSyy+v0cq/PaTnum5Kmi7vtE+upNrz++/TytXqyRId05Nba/ln0GNQWm2oUzdwHXyxUj8AEXvco7eJNoFF1dK775VVzSTw0YETBwJT+1vVMwFUo8sP2N1EsRPca5FtEKfvRu7ZnsBiIOmpgx/2AU4iVIDz6oj49S9HTqivGWpLFjkvfYtBWAgOa/lsYyqv7TeBquNPTf2BRJT1KL/22oY+cj1JvJh3G/ibOqHRFB/tyOK2rC8Fy6I7AWc7k911HxqfY0aRMbdzxrgdxzQ2ik1bJ9nW1LHrgrY1ylB+xwWOHySbs49Xyqf1w9pRRHjlE8scfxsd5yl+MGFNKPanM/YdSars3cin9VFZEzmJSn3hX6GUMaxsZTnG9+JY5fla8Yh61f4S2lZ1rKW4AgEQAAEQOOsExhOnX36kR+FvMf3hNj3a26PvzL8X9Fp+P5zSH7a99BE9enFEx8dH9MPX9/gP4vKv4wnJn/fos401Wrm2Q98YWUH2j+VX835+Fr/PdHtGz4+O6fjoR3py7wpdWP2Atr9vX/sT8foYgrBesKLr8TlviN7m3NQsBd4mWm3WpXI8481YB4lVQtO+JqI2bl3XBAC1lhg4DSUg0oIDVS139LwNbtqARKTH4/A4RFvzOA0EUEGa0WXGrA5gY12Ry/3cmtHrgxl//yQHS8nUeP/AGj7hKvbtgL9n0nwKrtqL3XLMt7S/iD8xg/hLc+WHN6RFPyiu9Te6kgg9Hl6/uV2VkLwOyaj+2XAxR45s+9h8q8Y6tWV9YU4kGWZshInoqRO/XF4SFsMhsRQ/yNXNSWorAbe5Zy+yrblY+12ad0pOZBnnsG9DajM4n4Myb9w75e4ccto7bMcSp7r/un8Lr11p3KW9Hn/2Oe+JnviBsFZ9YZu24ne/NPNYrud4HPegL+qxa21sq8fXectA2a7tzu6BExAAARAAgTNFYDxxkiDODajrROOQvrl7jd6TuutX6M7sR/N9qOGNtgrKD5/SnauX8pedL/zLTfr8e+9FQX9MwmaoN06/Vixlu2QTHqqo76lNUzZ9PnbljARJSZ7ZgCcFfsqobFP6G0BpLKZyEEltkOEEDamyW1cEDTwhiVUik2yfG/QVYUVXzbIEQaW2nFX3AiMzRtV9aTbhOI+PBXHF/iTcm18qiG7qpx9OyT4i463aiNnc1vQz3NEBdNvvGEDaechyZE6HY6MrymnLxRLb12x7KvbtTDe5f9aeSmpzaYPgkbbCv+HUiOUCfzzCOnhA20ZGYpKD/g6jNH41k1a7Hjd9ty6PevJ8ylVjudEjvqPHNpybfmQB2XdGx9nzcy1m8DzN62zTyPiJrNpPnHXEH7v2CbGIjMfATe1zRo9ib8qtBFyBAAiAAAicHQLjidMiff3nWzo+PjYJ0yJicpv6j97mG8Mn04PauAG2wcawfPe1jbBh58CjDgLCJ5p1IGDrBBvCp/vyH5+bAEdt4lJJApUUbJjgiOukoC3cb4LeIqQOkFs5pa4+awMSfTd+mttnW7GXQDYHTvZTYE5MO32o7Z+WzPYTQtsL/8oG6Y6tXj+S/bltpz+s0Yx9kp/qx/76/hCtVeOu7Uj+Gdtrf+zUbwJHFWzKeDl98MbD8wOul+dMxdkJgKsa5VKzcuwpFeUs9tezSWqEYx6nxNDMi0anms+NDYlv7mu6bupp7XIe6npjHfVFmwbksZ1Vey7T41+/kqn6kv2n1K+5mPmW63fmRGYg/QvHZD+3jbYaHV4b8b/QJt/XTIp89jPDOuoz41mqp7OKu/FHpcdj2chCAQiAAAiAwGkn8OskTr8TKmHTHQuKgqmDgduv2RcJusxmPqIwBQphs9dBxZR+5r4638MZ0Xqmb7cB1fTuTvUxkbiMLpHxuzkqX1zGpnb+6QB6YA7roNkEzstYM2dbEzCnRCMH8J4sFWybINypW/fPXSeKPF4PVB3mqhKYqWuEY8mvUyTrX7axJGWewtwf1Uev3vSyKYlTlJZ1139HSo3RcAI23SrUBAEQAAEQ+P0SONOJ0yTsvPFVn8ROaohKIAACIAACIAACIAACIAAC54UAEqfzMtLoJwiAAAiAAAiAAAiAAAiAwMIEkDgtjA4NQQAEQAAEQAAEQAAEQAAEzgsBJE7nZaTRTxAAARAAARAAARAAARAAgYUJIHFaGB0aggAIgAAIgAAIgAAIgAAInBcCSJzOy0ijnyAAAiAAAiAAAiAAAiAAAgsTQOK0MDo0BAEQAAEQAAEQAAEQAAEQOC8EkDidl5FGP0EABEAABEAABEAABEAABBYmgMRpYXRoCAIgAAIgAAIgAAIgAAIgcF4IIHE6LyONfoIACIAACIAACIAACIAACCxMAInTwujQEARAAARAAARAAARAAARA4LwQQOJ0XkYa/QQBEAABEAABEAABEAABEFiYABKnhdGhIQiAAAiAAAiAAAiAAAiAwHkhgMTpvIw0+gkCIAACIAACIAACIAACILAwASROC6NDQxAAARAAARAAARAAARAAgfNCAInTeRlp9BMEQAAEQAAEQAAEQAAEQGBhAkicFkaHhiAAAiAAAiAAAiAAAiAAAueFABKn8zLS6CcIgAAIgAAIgAAIgAAIgMDCBJA4LYwODUEABEAABEAABEAABEAABM4LASRO52Wk0U8QAAEQAAEQAAEQAAEQAIGFCSBxWhgdGoIACIAACIAACIAACIAACJwXAkiczstIo58gAAIgAAIgAAIgAAIgAAILE0DitDA6NAQBEAABEAABEAABEAABEDgvBJA4nZeRRj9BAARAAARAAARAAARAAAQWJoDEaWF0aAgCIAACIAACIAACIAACIHBeCCBxOi8jjX6CAAiAAAiAAAiAAAiAAAgsTACJ08Lo0BAEQAAEQAAEQAAEQAAEQOC8EEDidF5GGv0EARAAARAAARAAARAAARBYmAASp4XRoSEIgAAIgAAIgAAIgAAIgMB5ITA5cdrfWqPrs6PflEuwYWXrINlwRLub+vo3NQ3KlyVwsEMrqzu0v6ycX7P9gI3WN39NI7TsOAeWmZfzzut+P6Mt2zI9tZm/+vkBba9u0u6rnqJgW8+3xtpWMisfeD3b/P37bdUFXIIACIAACIAACCxGYGLitFxQFIOLNVpZnfbPDwRDgLNGOTB7NaPrkwLt2G6q7livBFkcKE602+jYnNHrMCYcaE3rt25v++m3354FBv69ICvLIKLXBzN68PEmXf7wCt26+5i+6+TAx39/Wuptzej5z55jHdPLZ4/pzq0rdPnDTfrk/lP64dirR/R6b0q9JROA40P65vGndOvDK3R58zY9+PpHcs1hn+nzKvz9ILyfZIwH34v4kR4/n+40bovoFhZ2LnpzUFgtt0b4/Yulrf07tD82ljL/WES0rf7QJfMNc9Spn+8r49iW6sMbr55qglMQAAEQAAEQAIEzQmBi4tQLDPtJiQ4mOHEygUmg58kcCASrT3rbYKoOiEvy44+Vp9+vaUurdmMJXBOUWWntVWSa+Y3JZwED3Ijo5ewmXVi9RNfvPqYnXz+mO5uXaGX9Cn3+wmo/3vuUNlYv0uU/P6TdmdS7SbuHut5b2t/6gNvfuj+jJ7OHdOvfL9LKpdv0jUmy3tLz+1fowvq/0o27D+nB/Xup3kf0pH4yMBYEN8mhBOtE9MsBbW+s0YV//4gezJ7S7v2P6PL6Gr13+1mbPE1iWY1v6Hov+ZUAund/QmIf/NgmJ5r12PnwuI+1Dvfn0l/5Ms9rYUDRluy3U5TPXSfqKAmQCKjGrLIz1orzSljbfte2V/JEDa9Z6gOJ7riXtejX5ZENwwkIgAAIgAAIgMAJEBhMnIaeFMUAJAYjNjhoy4bkyCfb+ijBje6/CXRCANwkYqq2CpxCOy178nkOCGN/JrfjIF8lbcoWZeHAacVvSrA/VOf4GX2yuka3vtbPYN7Sd3cv0srHKrl4s0efra/R1S91lnRIuzcv0sqtpyUJefGQ/rj6Pj0wSdchPbq6Rn/8iyp88ZA2Vq/R5//QXY31LmS28V4YI+tDpdzzBS3x+V/ep5V/e0jPdeFPj+lqYyMRDXHK7QN/lZiFcmcMS9IQgu6qvrRJidPCPhh8qWKVzeSTGPCPMYptUtLRJKGd+dHorXVNkedwsR2Y64qZ87yfPicNmzCOqV9l/JIJ6l7XT4wfhP4P9c/xo7l6i8ogAAIgAAIgAAK/NwKDiZMYWwcZJYmpgnxu0JaVgEckhqMXWNTBWarPAa8E17GODrSLPaG+lWHvjemP921/6/5UdtfBeH3dBFudQDUngpW+LC+WlwQuJGd1mZItge/hM3pw/zHt67wpvLoXvpux8QX9kJC8+fZTWlm9Td9U9YgTpRIgvvl+Rg/uP6OXGmV6crFy+xm9SeX7Wxdp5e5evs7Vfzmm4+O3+dJLSuRmf+ykxlt6/tVDevA3neyFe5HLJ8+UnlCcWUp77xjalv5yDTOGsY34iBwbSaHNO3riFDiUcZ/vvMyTdt4Emz3GrE/8RzrG/VFPxxomvnxpvvSR9VfjkoVWY9bYliuWE5anPuAod+LcyPNRbsT+DSZeqg37hbqOUtJ8rdmKChxBAARAAARAAAR+1wQmJE42EZHEJAZkMRAowVnoa1vWDyLqQKjWFdlJ4Mh6QvBbBR4m+OPguMiVe2xD/rQ93JdgKwUz6V74hNoGw3V/pF0a1zoYr69NENcJLk2dSl+Wp/R6ZcrNrP3qRj5tnzjxk5s/zZqEiN7s0Z3q+1JZTD6pnzgd0u6f1ujGX4+Ijg/pu9kX9OD+F7S7d1ieXHFb1acsq5zI2JWSiWeDT5ymJB7Ff1ijGZ9oQ2Q846cO21ub7ROzpk0c18kJUBN0e32PMs1TFa8al6XAP8+BEQ5mjhXboy5vnnZ8u2vPPDeifrPO8BwY6EPmV2xfMQlxKK/GWXFqmIbxDOyYS+hrlXSZ8fb4BOHJFsN2Hg6oCwIgAAIgAAIg8FsSmJA41QGGvo6BgAloeonT1IBtVX2qHchIwDIQvC8WYOt+DA1B7OPkgJf7qYIqJ6CyvFIfq0Av1/GSJK+MOUW9Y4nTm4Md2lj9wLxuFxi6T4jSeDaBpELG36Fa199xisw++2pGN9Yv0catT+mzj6/RH9bX6MK1h/T8l9T4YCd+v2csCK59J7NSRuTT+HrhBf0aotzL3KTAOzp+YcYwtjGMWW4VhDdtHLmdJz5DT+GMxcJtiUB8ytxh39g6UE+nQl+Uj7NRv2LixL6tk6Rad8W2YR8MrOrIU9KanTeWkvDkxMmMQrxwdTr1UAQCIAACIAACIHBqCYwnThy0qEDFBJ8hGJFX6IRBW8ZBZhPstoGMPM0qQbrIkqPoiK8YyS9h5eAvBZI56SjV41OkHIAPP3FSzfKnxEVm79Pk1MrwqZOiTnBpgq6qr1me4uWVqXEyQb3tDNFhSGYu0o2Zfb1NguO6unxKXsbE1pAkbPtAvxYX+7Cy+gGZ8p+f0ifra7ShvwsVxOX+WNl5XG3xwFX64YqNHdqX5EzXVox0sT1XnOUGt9OBezrXQXclu/V5YeLIyX6p7jXzRYwpx6hjc8KvS0a/myv5z/pD2zj/h8ej49vF3Hdz5vqKM2aNNqdONWahiTcPpEyOWTS3TwlzOGdmibX2jdwAJyAAAiAAAiAAAqeZwGjiVAcLNiiPwWBJKgIKr8xD5AQydbUQJHEAUsu018FGCezZ3hz01QLfwbUTbA1KzQFVqNUJLk0d27eSVCheOXhUZcouO0bKOk6a1mhj66D57lGfW7Tnzrc6MYoyY9LUJmHiA94TrJdfXqGVDx/bVwJzf5Stvacxtoq6kl/7q38FUFVRjFRpdaqYyh0zPrGwZWwD5pjUpJ+k5yaO3F4fHX1iSjlGfcHvtf+X+9PO3LYd/bkuc1RJnpf4Sdk7SCDYN5OczHXUhuoJoPPESeajfG8pzrX6g6DAuSSOuW6dZGlmbFutf9p4oBYIgAAIgAAIgMDvl8Bo4hRM58CFX82pA/8YVPcTp3h/rk+6JeAyrwJZPTl4SlxzQBeuOQhPwU86X0z/Ju3+LX2vIds0MVhM9ZmLDqhS4uTak5M929cmcZolm7h+qFt/4p1++KEOWI/jz3aHpKn+/YeA7fVfb9LKunqymNjST4/psvcLdfLk6iv75Co2O6RHH1a/spfk8diZsZUxa3WbcRV7OseXX92kC+sDSZP8IMaksayCXjOG0QDuR81YJYDt/TnnQvaHToc5OE/M9HlTPSV0k/rt+Lfq4/B41GtDY8jiBap/vg1qHnS1dOrk9SJxUv2tRQXdOXHidspPjI+My6pl4xoEQAAEQAAEQOD3T2BS4hS6EQPeEFjpADcGg/3EyQcQA5AdDvrDF+vlaZFfO5QqPTnQKbXrYIrljwSeJggqogbOYjDk2xrty0GVluIEVJZX/Tqf6muQk9uHchWosY5SpgN1fc7V0t86eu/WU/ukR9vJP6hwkeonSy+/vNb+3HdKmi7vtE+uROTz++/TytXqyRId05Nba/ln0HkMFg3o1fjG71hdsa8FiiHqOMUvoq9VnPMYFGEN43KLz8buS/Vgk+9TUsM7Rh/R7RaT4/+qXvE5q3tYx6+YOMkHDpvhtcQwNrH/7gcQ2p+Uj5hxfTWj3YPSNx4rbqfXtnJfzth/OLFyEqPaR8J1M19FEo4gAAIgAAIgAAKnkcDkxMn/kYYYwNhEwCtLaEzSE+rFAJUDFxPk1CiLTA5eqrpNQFd9GsxtdEA1dl7JD9YYGfp+6pObNIWGdUBVd625Ln0Nt0oAXniF8v0tCSDDMQVymqd8cv7Lj/Qo/C2mP9ymR3t79J3594Jey++HU3rV7dJH9OjFER0fH9EPX9/jP4jLv44ndv68R59trNHKtR36xsgKsn8sT7N+fha/z3R7Rs+Pjun46Ed6cu8KXQjfe/q+fe1PxOtjM676Zjo//jbYuEZXd55Vfduj7/6hn61FrjrZcMSlJD36Zb7vjGEZl1zLnLC/yBjU/jPmf+m+b6sTtLNm6zfGGEk8JurlhET7eBI2PB5TEqdYx++Xtbi5Gpxndm40bbkg1UlPbMuaJXMnfChUjXslKI+plxQ1PuL1NY5Rd62o9OESBEAABEAABEDg90VgWuKkE550HoOfFAg4AVkJTFLyEOqYYKwKdiQwMnUEVtR**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**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**UICCIAACIAACIAACIAACIDAGSeAxOmMDzC6BwIgAAIgAAIgAAIgAAIgsDwBJE7LM4QEEAABEAABEAABEAABEACBM04AidMZH2B0DwRAAARAAARAAARAAARAYHkCSJyWZwgJIAACIAACIAACIAACIAACZ5wAEqczPsDoHgiAAAiAAAiAAAiAAAiAwPIEkDgtzxASQAAEQAAEQAAEQAAEQAAEzjgBJE5nfIDRPRAAARAAARAAARAAARAAgeUJIHFaniEkgAAIgAAIgAAIgAAIgAAInHECSJzO+ACjeyAAAiAAAiAAAiAAAiAAAssTQOK0PENIAAEQAAEQAAEQAAEQAAEQOOMEkDid8QFG90AABEAABEAABEAABEAABJYngMRpeYaQAAIgAAIgAAIgAAIgAAIgcMYJIHE64wOM7oEACIAACIAACIAACIAACCxPAInT8gwhAQRAAARAAARAAARAAARA4IwTQOJ0xgcY3QMBEAABEAABEAABEAABEFieABKnZRm+mtH11R3aX1bO1PYHO7SydcC1X8826frsSLU8oO3VTdp9pYpwCgIgAAIgAAIgAAIgAAIgsDSB85U4haSjm+Qc0e7mGm3HnGQ62F8pcdrfWlNJUUiI1mhl6N/mjF4HW8JxuvVz1hxOzEIiF2ycm+GcVpza6oP+d4p6tWw/ps6Zgx01B34dPnaeaR1xPZAPKfQdcz425wKrzpzk+dK5Jzq69p0AG7EBRxAAARAAARAAgUjg5BMnDpq8pyLDQXkwVwLzwQSiSi5MEG8CvhQYSf2tWUycZuEJUklScntuW8qn2iDtx2yXeuKYQwGTBHNBpn7i1NNRyxYdcx8HgkCSe2OBZFIa+if9mGzHmxe0e/8ZvQwNXu3R51/smSTx9cGMHny8SZc/vEK37j6m7/TDOKXk+O9PS72tGT3/Wd1Up1Pl0dEePbr7Eeu9/vFDevL3YyVFTqO/6fGSO5OOx4f0zeNP6daHV+jy5m168PWP5Gkhnl9T/NSbg5MsIR7r7gcQScZkOzxb4xPc1yE50In4pDmon/4e0/7jh/Tgqxf0ho5p/8uH9OCvP9Ib6SbL63AYuiftw/HVEe0GX/ae9CYG/vyb5g+9daBm05v79Trl26I7hHMQAAEQAAEQAIEegRNPnHiD39w0yUm9udfXstnHtvUTlRiASJ3S0fiUxpRzMCSBVd1u7LpINmccHIlMc2fihWMnETUB01Agyp9aV3JC/ZFPsycaSL1gPCcBFYPG9kbREb1+Fe3NMpo6TsHBDl3404wTp+O/3aaVu3s5CH45u0kXVi/R9buP6cnXj+nO5iVaWb9Cn7+wco73PqWN1Yt0+c8PaXcm9W7S7qGtN1Xem+8f0uX1i/SHG5/Sg/sP6bM/X2E7bn1dZW1D46cS9eL7KqD/5YC2N9bowr9/RA9mT2n3/kd0eX2N3rv9rE2eqrGwvZKrwF7Jl+KpRzOPpjZS9SbZmOpPTWBC9UbuIT36cI0ufxkG94A+W12jT/4m6Wb0v8JbJXCD65PPjT8IMPNtxL+TP+T1ifsZbbg+O+APcVrbKt3zsKF6fVPjgVMQAAEQAAEQAIFJBE44cYrBRA4WjInjwdzCiVMKUkwgIk+Y8qt5dWBRXxtjy0UTrJVb0858Jib5CDpMUKYkp3v74enT1k6uF1jNlZQokf5ph4fbf79PjVxuWwWDTaVS8Pwv79PKvTBgb+m7u2v0x7+krOj4GX2yuka3vpagOLQJdS7SyscquXizR5+tr9FVDqRF7iHt3rxIK7eeliRkqjx6QQ821ujqFz+KMD6+/PIarazbZDqMp+f3ZpyNlHLB/f63h/S8FBH99Jiurr5PD6rEsE0edCM5H59rUtM9zpM4qYTAzL+xZFEpnsKIq9e++GaP7ggj42vRl+Nru61f63Wmrzv6+HifVEKmntKxDsUg+kZrS9Hvj1m47/mVwpdOW9ltHZSAAAiAAAiAAAgMETjRxEkHJPF1Hx1U+Oc6KDDtc696AYETvJuAL7bLgU9OpGy56A8BSq6rAp7RsvRDDsHcIRmiR7pVAiYpqdunwDwEhFsHtL8VE5DIKDzRs4F7kbLgWR2UBjHpE+/rmw6brR3+Xlbdr1q7P6Z1rXBtnx5sr6unB4fP6MH9x7Sv8yZ5tXPjC/ohiXvz7ae0snqbvqnq0YuH9Ef9BGaivND/C6uf0nf53a+k6J9v6fj4OD8NY06dxNcbZ9v7t/T8q4f04G/VIzGK/v3Js7e2ujdOtgY/fRl94sRynHGd4vu6r8FH9HWwxbORy6Yn0U2XPLmHM7ouCWyw48PH8TXPxqYw55PuxjZ1z1VaFzrrTl0ljV09N3gubB2MvpJct6P0NGloLdo+iOta05bnsP4+ZWMsCkAABEAABEAABBKBk0ucJBCTIIo3bB3c15+oths9BxZTAjdVxwQKRmctf/jaC3CjPboP1q8kEIqlUX77FMgPtDx9khzFQCnpDX3KyVnUIQGU6bs1be4r6YscY9LU73tU4PetKC/2jtr66il98uEV2v6ft0T/eEw3PtykR38vktqz9okTP7lJr/qZ+vxkYuyT+1bey682aeXmU3pNx/Ryb0af339In8/26KVJzGq/NprbVzLt7f7V4BOnKQnP4knKmN8bo1NgLj45fFzcJtZZJz0HD+nyzgEnsK//9ild/1I9GZzLLuE5xb4xn5fEUWSG4w7t17YniGUdGPYjw9y9qNe3VClxaNclVwgKQQAEQAAEQOBcE5iUOP3v/76ie1s79B//+V98DNfz/Zc27S316TNv2CrwbgKHdqPngE0Sr2xAWy/ecgKYrPOAdtP3CErAXsux1yWAKYGPDTaivpLEpB+zkKQmJY5FX+6Ae2L0pRqhrASeO7Sdrst3ImxgF+vbMlfZaGFhkRMneaKjklTd9yDS64NRxUw2aXem/MJUWPzizcEObax+YF5lYx7qe1FFehw7O57lbjjryrs341f93tv4iO7cu01X/+Uiraxfowcv0pMg+fWzNP5l/PRYOueNn2t74uuFF/RriHK7mUdyQx+XC8KX9qsJNsbkLHFRLEy59r18rtYU3eWp5xNsGxblrDudBr25VOZz7RdpLuukT9aXjo5SXOZwKcMZCIAACIAACIDAPAQmJU6SNIXESZKneZTwqzlhgw8bvgRBevPPQU8dKNinABxoSPtsQC8gcAKYrDMEV7HdWCDbJDoDAfBQ4B2f0ExPYkaTjtz/kziJLC2rHdrV36MKbDmIC3Vj8DrWBw7AeTx7Y7hg3w5ndGP9It2Y2dfbWJ8baMb+dcdvSN7qGm1sxaca0dpjevLxRVrZqL6T1AnIxxi1BN7S/tYHtLKxQ/u/tHenPwmc7otWS2IVfkDB/A0xW4uv8nxr57X1pXK/mW9Bhprz/hqQdHcYO5b1iybJmLZ2+H0siZ1OnMSgUKYZFP8I3O2Y1e3Zv5u1VNq84zkmBuMIAiAAAiAAAueIwKTESRImfVyIURUEWRl1YNBu9HWgENu39WJ5DPAkCOG2HFSUwMXq78mxtcxVCgxzAJmSKtGp6xb9JUjUgVXdpgRMSUqSrduMn/f6qi2b71yPQTjPfQ8s5kmcalaDvjGHjZzk1MlMbM+BpQrCi9ToK3e+rb4vFCqMyfO+4/TTY7q8eoUe/VQ0uN/rmfJUTokIP3jBSdN6+yuAuRr75Ni413Mttx4/EfmTEoyOOLdtZ/5VfsH+545hR5dTPDYXx+ZVPVe1CklehupEX7DrgMyj0H67+pMI2h4tV8/FYEOzZvB3qZA46fHBOQiAAAiAAAgsQ2BS4rT0EyexsAqCzEbvBlPSMB4lKNGBxNg5BxqvZrQdPh2XoI/FxWB5sL37dEL9Pal037dLAhbbh/bKJnhy37CRws5xnrodEZOLdbDWBKBzJE7MzATAMXCWAHKyQbricfzZ7vAEyHzNKNV5/debza/d8S1OdJxfqBuR9/LLK7RS/9pdEFgnhbmsTWjmGbuXX92kC0NJk/f6ZPMEQgL2qf6Z4PFBj5E+13XSOc810TXvUdlWrRnsc8ZvHN3vsGie8Qk/ec5PhQ4GfgVT2VbmkiSN4aj67iZDRUBpH8taW3WCLDpKe5yBAAiAAAiAAAjMR2BS4rT8d5ySUVUQFAONNX4VJ/ycdv0dGduVXqDWCwichMQkTlF6G2x0At9QPQXEXrKlPwmOktsgyPYnXbFMGyyFO55dTaLSDYolUG0DddeGOQqLDZu0vbXgEyceh7bPvacyk8xLf+vovVtP4y+neY34BxUuUv1kiX8+vE6ApsjjX+O7Zp8sEdHx1x/lX+8L4+j5y6QylSDw35Vav0LbB85TMdVX1qfaqVvqVAfUqnjkNI698qkJH3a4It12nXlcrRlsw2j/XK0LFXrzsCeI2acPU4KdYx8CcF/kwxmeE8FX4iuwPf/QMk17d83Q49zh2+sMykEABEAABEAABBoCkxKnptWiBVUQFMXEDT0ECm3yoRSlpKWt0wsIpiVO8lO+RW5spwMUZYVz2tPvVPWK3CDST5y85qFsnuAuJidO0tITHsoT+xzMqeAwl4UkbsoTpySrx3ehwPiXH+lR+FtMf7hNj/b26Dvz7wW9zj8Xnl51u/QRPXpxRMfHR/TD1/f4D+Le+Kv6g7WT5R3TN/x9ptu0q+SFP067sfOi/Bz5ANspY3f8bbBxja7uPKv6tkff/UM/W5vquzqgHjBO3+oku4PjlZOB6cljmYdJebVmDOoLTTrzSXdF5rzx3dEPIVIfOkkbJ03mTwDEdaHn58EeSXxez3Zo91Wcx/WHR0P+Ie1Dn8MT9WhDzVrmemedYl5Sx1LCFQiAAAiAAAiAgCXw2yZOOSBPv6wmwYsTnHBQ4JRLENQEXPLajP4BQA7k1CfmmUUKcjY349MB+RQ437cnbEuuowOSGLjWwY9tba96gWAdMPlBUR0kedc2KOrps1b1r3KwlgK/HBgGtplJbF/3IT9hrOpZbZFnLcvWqa4GA3Tb//D3oL65e43eE19bv0J3Zj/aJGceef88pCdG3r/Sjf9+4b4qWFnNly2julbiIfbWR82S7a77W8sL1/MlT**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**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**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**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**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**1uPaS4AAAQIECBAgQIDAZAHBaTKZFQgQIECAAAECBAgQmJuA4DS3HtdeAgQIECBAgAABAgQmCwhOk8msQIAAAQIECBAgQIDA3AQEp7n1uPYSIECAAAECBAgQIDBZQHCaTGYFAgQIECBAgAABAgTmJiA4za3HtZcAAQIECBAgQIAAgckCgtNkMisQIECAAAECBAgQIDA3AcFpbj2uvQQIECBAgAABAgQITBYQnCaTWYEAAQIECBAgQIAAgbkJCE5z63HtJUCAAAECBAgQIEBgsoDgNJnMCgQIECBAgAABAgQIzE1AcJpbj2svAQIECBAgQIAAAQKTBQSnyWRWIECAAAECBAgQIEBgbgKC09x6XHsJECBAgAABAgQIEJgsIDhNJrMCAQIECBAgQIAAAQJzExCc5tbj2kuAAAECBAgQIECAwGQBwWkymRUIECBAgAABAgQIEJibgOA0tx7XXgIECBAgQIAAAQIEJgsITpPJrECAAAECBAgQIECAwNwEBKe59bj2EiBAgAABAgQIECAwWUBwmkxmBQIECBAgQIAAAQIE5iYgOM2tx7WXAAECBAgQIECAAIHJAoLTZDIrECBAgAABAgQIECAwNwHBaW49rr0ECBAgQIAAAQIECEwWEJwmk1mBAAECBAgQIECAAIG5CQhOc+tx7SVAgAABAgQIECBAYLKA4DSZzAoECBAgQIAAAQIECMxNQHCaW49rLwECBAgQIECAAAECkwUEp8lkViBAgAABAgQIECBAYG4CgtPcelx7CRAgQIAAAQIECBCYLCA4TSazAgECBAgQIECAAAECcxMQnObW49pLgAABAgQIECBAgMBkAcFpMpkVCBAgQIAAAQIECBCYm4DgNLce114CBAgQIECAAAECBCYLCE6TyaxAgAABAgQIECBAgMDcBASnufW49hIgQIAAAQIECBAgMFlAcJpMZgUCBAgQIECAAAECBOYmIDjNrce1lwABAgQIECBAgACByQKC02QyKxAgQIAAAQIECBAgMDcBwWluPa69BAgQIECAAAECBAhMFhCcJpNZgQABAgQIECBAgACBuQkITnPrce0lQIAAAQIECBAgQGCygOA0mcwKBAgQIECAAAECBAjMTUBwmluPay8BAgQIECBAgAABApMFBKfJZFYgQIAAAQIECBAgQGBuAoLT3HpcewkQIECAAAECBAgQmCwgOE0mswIBAgQIECBAgAABAnMTE**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**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为什么我的显示还是24年7月 检查一下是不是模型幻觉了
昨天就有人说网页版pro好像变了
—— 来自 vivo V2520A, Android 16, 鹅球 v3.5.99-alpha
アコ 发表于 2026-8-2 09:58
帮我助力，一起拿大奖！完成注册即可获得68元免费token额度
https://tokenrhythm.studio/i/rf_tr_4C00s8CJf ...
这个站的V4F还是preview版本
漫无止境的八月初开始了
アコ 发表于 2026-8-2 09:58
帮我助力，一起拿大奖！完成注册即可获得68元免费token额度
https://tokenrhythm.studio/i/rf_tr_4C00s8CJf ...
帮我助力，一起拿大奖！完成注册即可获得68元免费token额度
https://tokenrhythm.studio/i/rf_tr_Xo7qCRL2xImqZIs_bKz8J3Sx
我也接一个
1.新版V4F的写作能力也是提升的
2.专门的coding模型早就有了，后面厂家还是默默换回通用大模型
3.文科理科分科本来就是不科学的
4.现在主要没有厂家专门去提升写作能力
奈落的孤火花 发表于 2026-8-2 09:36
感谢，不过看了一下怎么dsv4f不支持response api，难道还是老款，我看官方新款已经支持了 ...
responses只是一种请求结构，是需要供应商自己来适配实现的，不是ds自己做了其他人就能直接拿来用，这个接口本身和模型版本没有联系
大佬们请教下，你们搞规模较大的工程时，怎么确保执行时不乱写的？想参考下工作流或者方法
怎么还天天去检查知识库的日期, 模型根本不知道自己是啥时候, 全是幻觉
梁圣什么时候搞出来持续学习，对写文是有跨时代巨大帮助的
chenyedgg 发表于 2026-8-2 10:35
1.新版V4F的写作能力也是提升的
2.专门的coding模型早就有了，后面厂家还是默默换回通用大模型
感觉v4f还是太小了 我这几天和k3比较过写文还是不如k3 k3的问题是甲太厚 类脑的预设也破不了 只能等v4p正式版了
帮我助力，一起拿大奖！完成注册即可获得68元免费token额度
https://tokenrhythm.studio/i/rf_tr_M7nBXPFooQSBG-WRbq43IPAV
拿到赶紧蹬了，免得像硅基一样赖账
flash的token用量确实是上涨的感觉
以前opencode free的flash的免费额度能用到晚上才用完 现在一个上午就没了
—— 来自 OnePlus PJX110, Android 14, 鹅球 v3.5.99
neptunehs 发表于 2026-8-2 11:28
flash的token用量确实是上涨的感觉
以前opencode free的flash的免费额度能用到晚上才用完 现在一个上午就没 ...
换个harness，然后再配个识图的小模型，会好一点，不然现在会反复截图验证，但是没法识图额外消耗token，甚至容易左右互搏
这两天测了一下酒馆的效果，用了几个不同的预设。感觉这个和以前的思路都不一样。如果用的是激活原生思维链的预设，那么他会在思维链先打一个草稿然后检查符不符合预设的每一个要求，如果预设要求复杂，甚至可能出现在思维链里面修改7、8遍的情况，不过这个对指令的遵守又确实是特别强的。
—— 来自 HONOR PTP-AN70, Android 16, 鹅球 v3.5.99
https://deng.codexradar.com/
Codex雷达多了V4flash, 和luna max差不多, 价格是1/5. 算了下20刀Plus=400刀 API可用于 luna max=等效80刀DS 4flash=10刀OpenCode GO/月给的60刀额度.
nxmonitor 发表于 2026-8-2 11:36
换个harness，然后再配个识图的小模型，会好一点，不然现在会反复截图验证，但是没法识图额外消耗token， ...
opencode free哪能换 又不是opencode go
—— 来自 OnePlus PJX110, Android 14, 鹅球 v3.5.99
serj005 发表于 2026-8-2 10:36
responses只是一种请求结构，是需要供应商自己来适配实现的，不是ds自己做了其他人就能直接拿来用，这个 ...
转发的就可以吧
—— 来自 Xiaomi 22041211AC, Android 12, 鹅球 v4.0-alpha
→熙← 发表于 2026-8-2 10:54
怎么还天天去检查知识库的日期, 模型根本不知道自己是啥时候, 全是幻觉
有道理，下次应该问一问相关新闻是否知道
我看了 ds 关于 codex 的文档，客户端是不是必须先登录进去才能用 ds？单位电脑禁止挂梯子，有没有跳过的办法？
北呱南飞去 发表于 2026-8-2 11:59
我看了 ds 关于 codex 的文档，客户端是不是必须先登录进去才能用 ds？单位电脑禁止挂梯子，有没有跳过的办 ...
直接换一个就行，比如zcode或者PI，codex测下来并不是很好
北呱南飞去 发表于 2026-8-2 11:59
我看了 ds 关于 codex 的文档，客户端是不是必须先登录进去才能用 ds？单位电脑禁止挂梯子，有没有跳过的办 ...
不用，安装完 codex 启动一下，不用登录，再把它完全关了，运行官方文档给的那个指令就行
opencode也不错，其他有更好的么？
专门用来识图的模型用哪个好呢
抽搐一下 发表于 2026-8-2 12:26
专门用来识图的模型用哪个好呢
GPT 5.6 LUNA
话说国产harness和ccoc到底有多大差距
—— 来自 HONOR AAK-AN00, Android 16, 鹅球 v3.5.99
lactone 发表于 2026-8-2 12:36
话说国产harness和ccoc到底有多大差距
—— 来自 HONOR AAK-AN00, Android 16, 鹅球 v3.5.99 ...
代码不好说但是日常办公workbuddy完胜，非程序员无脑选workbuddy就行了
北呱南飞去 发表于 2026-8-2 11:59
我看了 ds 关于 codex 的文档，客户端是不是必须先登录进去才能用 ds？单位电脑禁止挂梯子，有没有跳过的办 ...
我是直接让claude code搞定的每次这俩哪个有问题就让另一个来检查身体但我用的cli
jyj256 发表于 2026-8-2 11:02
感觉v4f还是太小了 我这几天和k3比较过写文还是不如k3 k3的问题是甲太厚 类脑的预设也破不了 只能等v4p ...
k3 能破，你用的什么渠道 k3
—— 来自 鹅球 v4.0-alpha
探讨了一下llm的两项能力，觉得挺有趣发出来：LLM 生成是前向一次 pass，注意力是自回归的——它"看到"的上下文里有什么才会联想什么。它的联想能力其实是"上下文内联想"：如果错误 C 在上下文里（比如代码文件已经被读过、在上下文中），那模型"可能"会发现它——但这依赖：
错误 C 是否在上下文中
注意力是否分配到那里
有没有余力（token budget）去注意
人脑是并行激活的——潜意识一直在后台跑，联觉、直觉、走神都是并行处理的表现。LLM 没有"后台进程"。
但我要补充一些反驳/深化：
其实 LLM 有某种"内隐联想"——预训练让模型对模式敏感，你给它代码片段，它可能"感觉到"哪里不对（就像人看到熟悉的模式异常）。但这种能力不稳定，而且只在生成路径中被激活。
解决思路现实路径：
多轮/多角度生成：让一个模型看代码两次（一次实现 B，一次专门审查）——这其实就是"对抗性审查"子代理的原理，我们已经在用了！用户自己也建立过这套（派子代理对抗审查）。
专门的"审查 pass"：实现 B 之后再跑一个"顺手检查"轮次，把"发现 C"变成显式任务。这比依赖生成时偶然联想可靠得多。——gpt就在用这个
工具辅助：静态分析、lint、搜索——把"联想"外部化。代码里有没有同类 bug（用户自己举过例：修 batch_sensenova.py 时没看 extract_pipeline_v3.py 的 CharacterRegister——这就是联想失败的实例，解决办法是 grep 3 个相关文件）。
结构化上下文：把"项目全貌"放进去（AGENTS.md 就是干这个的）——联想需要材料，材料在上下文里才能联想。
有意思的补充：多模型并行生成（用户说的理想方案）其实技术上已经有雏形——MoE（混合专家）内部就是多个专家网络同时参与；还有 speculative decoding。但"多个完整 LLM 并行生成再综合"（ensemble）确实贵。不过对关键任务，可以先并行跑 2 个不同模型看同一问题，比对答案——这也是一种"多大脑"。成本翻倍，但关键任务值得。
很久就在那边l 发表于 2026-8-2 12:44
代码不好说但是日常办公workbuddy完胜，非程序员无脑选workbuddy就行了
不太想用企鹅的东西
—— 来自 HUAWEI ALN-AL10, Android 12, 鹅球 v3.5.99
asier 发表于 2026-8-2 11:22
帮我助力，一起拿大奖！完成注册即可获得68元免费token额度
https://tokenrhythm.studio/i/rf_tr_M7nBXPFoo ...
帮我助力，一起拿大奖！完成注册即可获得68元免费token额度
https://tokenrhythm.studio/i/rf_tr_F2ejBlz-c88SGu81og8TKEW3
传下去
冤枉呐 发表于 2026-8-2 15:25
帮我助力，一起拿大奖！完成注册即可获得68元免费token额度
https://tokenrhythm.studio/i/rf_tr_F2ejBlz ...
活动暂未开放 都结束了吗（
—— 来自 OnePlus PJX110, Android 14, 鹅球 v3.5.99
很快啊，上午开放下午就没有羊毛了
neptunehs 发表于 2026-8-2 15:58
活动暂未开放 都结束了吗（
—— 来自 OnePlus PJX110, Android 14, 鹅球 v3.5.99
我好像已经是最后一个了……刚复制出来一刷新没了
那个羊毛，我注册了之后让codex给我试了试，搞得我都不想用了。。。。
对。按这次实测，我不建议把这两个模型当成“可精确控制、可以放心长期跑复杂任务”的正式来源。
但两个模型的问题程度不一样。
GLM-5.2 是明确不可靠。`high` 虽然能正常完成题目，思考、流式、工具调用也都通，但 `max` 在官方 128K 最大输出下仍把所有 token 消耗在 reasoning，最终一个字的正文都没有。这不是轻微波动，而是严重的停止行为异常。更麻烦的是，基元律动还拒绝 GLM 官方的 `thinking.type=enabled`，而 `disabled` 和 `reasoning_effort=none` 又关不掉思考。这说明通过这个渠道无法完整控制 GLM 的官方思考协议。
Qwen3.7 Max 稍好一些。它的回答、流式 reasoning、工具调用都能正常工作，六位密码题也答对了。但基元律动拒绝 Qwen 官方的 `enable_thinking`，故意写一个非法的 `reasoning_effort` 也照样接受。也就是说，它目前更像一个“默认一直思考、但控制旋钮是假的”模型。普通使用可以，不能相信界面上的档位，也不能保证将来网关行为变动后仍保持现在的默认思考状态。
所以我的实际判断是：
| 用途 | GLM-5.2 | Qwen3.7 Max |
|---|---|---|
| 偶尔短问答 | 勉强可用，只限 high | 可用 |
| 简单工具任务 | 可用，但必须限制在 high | 可用 |
| 长推理、复杂证明 | 不建议 | 可以尝试，但不能控制思考预算 |
| 无人看管长任务 | 不建议 | 不建议 |
| 依赖稳定 effort 的工作流 | 不可用 | 不可用 |
| 替代官方 API | 不可以 | 不可以 |
| 作为高优先级默认来源 | 不应该 | 我也不建议 |
我之前已经把 GLM 的真实出站档位锁到 high，把 Qwen 的假档位撤掉了，所以当前配置不会再轻易踩到最严重的问题。但“经过防护后不容易炸”和“这个渠道本身可靠”是两回事。
更合适的处置是把这两个来源从“高优先级正式模型”降成“手动选择的赠送额度实验模型”：
```text
默认工作
→ 官方 DeepSeek / 已验证的 Kimi / 原生 GPT 等现有稳定来源
用户手动点名，或任务失败代价很低
→ 基元律动 Qwen3.7 Max
只做短期试用并固定 high
→ 基元律动 GLM-5.2
```
如果你希望的是“平时交给 Claude Code 或 Codex 自动选，而且优先消耗这三把赠送额度”，那我认为不合适。自动高优先级最怕的不是直接报错，而是这种请求返回 200、模型也一直生成，看起来一切正常，十几分钟后才发现 128K 全烧完却没有正文。
从可靠性角度，最干净的选择其实是：保留 Key 和实验记录，但把 GLM-5.2、Qwen3.7 Max 从 CPA 与 OpenCodex 的日常模型选择器中移除。以后基元律动明确补齐官方字段支持，或者我们复测确认协议已经修好，再重新接入。现在这两个模型留在正式选择器里的收益主要是赠送额度，代价是行为不可控，我认为不值。
opencode go订阅蹬flash 也太爽了，用不完的感觉啊
看了下东山奈央的评测文章，看起来ds的第一方harness还真有说法