{"id":107879,"date":"2026-09-20T14:56:49","date_gmt":"2026-09-20T06:56:49","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/107879.html"},"modified":"2026-09-20T14:56:49","modified_gmt":"2026-09-20T06:56:49","slug":"jev-%e8%af%a6%e7%bb%86%e4%bb%8b%e7%bb%8d%ef%bc%9atypesafe-ai-%e7%9a%84%e7%ac%ac%e4%b8%80%e4%b8%aa-system-one-%e6%a8%a1%e5%9e%8b","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/107879.html","title":{"rendered":"Jev \u8be6\u7ec6\u4ecb\u7ecd\uff1aTypeSafe AI \u7684\u7b2c\u4e00\u4e2a System One \u6a21\u578b"},"content":{"rendered":"

\"#\" \u5b98\u65b9\u535a\u6587\u5728\u8fd9\u91cc，\u611f\u5174\u8da3\u7684\u8bdd\u53ef\u4ee5\u81ea\u884c\u79fb\u6b65\u9605\u8bfb\u3002<\/p>\n

\u76ee\u5f55<\/h3>\n
  • \u4e00\u53e5\u8bdd\u6982\u8ff0<\/li>\n
  • \u80cc\u666f：\u4e3a\u4ec0\u4e48\u9700\u8981 Jev<\/li>\n
  • \u516c\u53f8\u4e0e\u56e2\u961f<\/li>\n
  • \u6838\u5fc3\u601d\u60f3：\u4ece"\u804a\u5929\u667a\u80fd"\u5230"\u673a\u5668\u539f\u751f\u667a\u80fd"<\/li>\n
  • \u4ec0\u4e48\u662f System One \u6a21\u578b<\/li>\n
  • Jev \u6a21\u578b\u89c4\u683c\u4e00\u89c8<\/li>\n
  • \u4e09\u79cd AI \u539f\u8bed（Primitives）<\/li>\n
  • \u8bad\u7ec3\u65b9\u6cd5：RLCD \u4e0e\u6821\u51c6\u51b3\u7b56<\/li>\n
  • \u7f6e\u4fe1\u5ea6（Confidence）\u4f53\u7cfb<\/li>\n
  • API \u4e0e SDK \u4f7f\u7528\u65b9\u5f0f<\/li>\n
  • \u5b98\u65b9\u8bc4\u6d4b：Workflow Evals<\/li>\n
  • \u5e7b\u89c9\u4e0e\u7c7b\u578b\u5b89\u5168<\/li>\n
  • \u6f14\u793a\u6848\u4f8b<\/li>\n
  • \u5178\u578b\u5e94\u7528\u573a\u666f<\/li>\n
  • \u5c40\u9650\u6027\u4e0e\u6ce8\u610f\u4e8b\u9879<\/li>\n
  • \u5f00\u6e90\u60c5\u51b5\u4e0e\u793e\u533a\u751f\u6001<\/li>\n
  • \u4e0e\u4f20\u7edf LLM \u7684\u5168\u65b9\u4f4d\u5bf9\u6bd4<\/li>\n
  • \u547d\u540d\u7531\u6765\u4e0e\u613f\u666f<\/li>\n
  • \u53c2\u8003\u8d44\u6599<\/li>\n
    \n

    1. \u4e00\u53e5\u8bdd\u6982\u8ff0<\/h3>\n

    Jev \u662f TypeSafe AI \u4e8e 2026 \u5e74 9 \u6708 15 \u65e5\u53d1\u5e03\u7684\u7b2c\u4e00\u4e2a \u201cSystem One \u6a21\u578b\u201d\u2014\u2014\u4e00\u4e2a\u4e0d\u751f\u6210\u6587\u672c\u3001\u4e13\u95e8\u505a\u5feb\u901f\u7ed3\u6784\u5316\u51b3\u7b56\u7684\u524d\u6cbf\u6a21\u578b\u3002\u5b83\u63a5\u6536\u975e\u7ed3\u6784\u5316\u7684"\u72b6\u6001（state）\u201c\u548c\u4e00\u7ec4\u7c7b\u578b\u5316\u7684"\u95ee\u9898（questions）\u201d，\u5355\u6b21\u67e5\u8be2\u5e76\u884c\u8fd4\u56de\u5e26\u6821\u51c6\u6982\u7387\u7684\u7c7b\u578b\u5316\u7b54\u6848，\u53ef\u4ee5\u76f4\u63a5\u88ab\u8f6f\u4ef6\u4ee3\u7801\u4f7f\u7528，\u5b98\u65b9\u79f0\u4e4b\u4e3a"\u524d\u6cbf\u667a\u80fd\u7684\u51fd\u6570\u8c03\u7528"：\u975e\u7ed3\u6784\u5316\u72b6\u6001\u8fdb，\u5e26\u6982\u7387\u7684\u7c7b\u578b\u5316\u51b3\u7b56\u51fa\u3002<\/p>\n

    \n

    2. \u80cc\u666f：\u4e3a\u4ec0\u4e48\u9700\u8981 Jev<\/h3>\n

    \u53d1\u5e03\u535a\u5ba2\u5f00\u7bc7\u5c31\u63d0\u51fa\u4e86\u4f5c\u8005\u7684"\u7075\u9b42\u62f7\u95ee"：<\/p>\n

    \u201c\u6a21\u578b\u5728\u804a\u5929\u4e0a\u65e9\u5df2\u8d85\u8d8a\u4eba\u7c7b\u591a\u5e74，\u90a3\u4e48，\u81ea\u52a8\u5316\u5728\u54ea\u91cc？\u201d<\/p>\n

    \u73b0\u6709 LLM（GPT\u3001Claude \u7b49）\u672c\u8d28\u4e0a\u662f\u4e3a\u4eba\u4e0e\u4eba\u673a\u5bf9\u8bdd\u8bbe\u8ba1\u7684：\u5b83\u4eec\u8f93\u51fa\u81ea\u7531\u5b57\u7b26\u4e32，\u4f9b\u4eba\u9605\u8bfb\u3002\u4f46\u5f53\u4ee3\u7801\u9700\u8981\u6d88\u8d39 AI \u7684\u5224\u65ad\u65f6，\u5c31\u4ea7\u751f\u4e86\u6839\u672c\u6027\u7684\u9519\u914d：<\/p>\n

      \n
    • \u4f60\u8981"\u80c1\u8feb"\u4e00\u4e2a\u6587\u672c\u751f\u6210\u7cfb\u7edf\u8f93\u51fa\u7ed3\u6784\u5316\u51b3\u7b56；<\/li>\n
    • \u7136\u540e\u518d\u628a\u7ed3\u679c\u89e3\u6790\u3001\u6821\u9a8c\u56de\u4ee3\u7801\u80fd\u4f9d\u8d56\u7684\u5f62\u5f0f；<\/li>\n
    • \u5373\u4fbf\u5982\u6b64，\u6a21\u578b\u4ecd\u53ef\u80fd\u5e7b\u89c9\u3001\u4ea7\u751f\u7c7b\u578b\u9519\u8bef\u3001\u6216\u8005\u5e72\u8106"\u8131\u8f68"\u3002<\/li>\n<\/ul>\n

      \u5728 agent \u573a\u666f\u4e2d，\u4e00\u6b21\u5e7b\u89c9\u7684\u5de5\u5177\u8c03\u7528\u53ea\u662f\u4e0d\u4fbf；\u4f46\u5728\u6709\u5ef6\u8fdf\u4fdd\u8bc1\u7684\u751f\u4ea7\u7cfb\u7edf\u91cc\u3001\u5728\u4f9d\u8d56\u94fe\u6df1\u5904，\u5e7b\u89c9\u548c\u7c7b\u578b\u9519\u8bef\u662f\u81f4\u547d\u7684\u3002\u6b64\u5916，LLM \u9010 token \u987a\u5e8f\u751f\u6210\u7684\u65b9\u5f0f\u5bfc\u81f4\u7aef\u5230\u7aef\u54cd\u5e94\u65f6\u95f4\u957f\u8fbe 3\u2013329 \u79d2，\u5bf9\u4eba\u6765\u8bf4\u591f\u7528，\u5bf9\u4ee3\u7801\u96c6\u6210\u6765\u8bf4\u662f\u5de8\u5927\u74f6\u9888\u3002<\/p>\n

      TypeSafe AI \u7684\u5224\u65ad\u662f：\u5927\u89c4\u6a21\u81ea\u52a8\u5316\u5c06\u7531 AI-to-AI \u548c AI-to-software \u7684\u4ea4\u4e92\u4e3b\u5bfc（\u9884\u8ba1 99% \u662f\u673a\u5668\u5bf9\u673a\u5668\u30011% \u662f\u4eba\u673a\u4ea4\u4e92），\u56e0\u6b64"\u673a\u5668\u63a5\u53e3"\u6bd4"\u804a\u5929\u63a5\u53e3"\u66f4\u91cd\u8981\u3002 \u56f4\u7ed5\u8fd9\u4e2a\u5224\u65ad，\u4ed6\u4eec\u653e\u5f03\u5728\u73b0\u6709 LLM \u8def\u7ebf\u4e0a\u4fee\u4fee\u8865\u8865，\u800c\u662f\u4ece\u6a21\u578b\u67b6\u6784\u3001\u91c7\u6837\u5668\u5230\u8bad\u7ec3\u65b9\u6cd5\u5168\u90e8\u91cd\u5efa\u3002<\/p>\n

      \n

      3. \u516c\u53f8\u4e0e\u56e2\u961f<\/h3>\n\n\u9879\u76ee\u4fe1\u606f<\/tr>\n\n\n\n\n\n\n\n\n
      \u516c\u53f8<\/td>\nTypeSafe AI（\u65e7\u91d1\u5c71）<\/td>\n<\/tr>\n
      \u6210\u7acb\u65f6\u95f4<\/td>\n2024 \u5e74， stealth（\u9690\u8eab）\u4e24\u5e74\u540e\u4e8e 2026-09-15 \u968f Jev \u4e00\u8d77\u51fa\u5708<\/td>\n<\/tr>\n
      \u521b\u59cb\u4eba<\/td>\nDiogo Almeida（CEO）\u2014\u2014\u524d OpenAI \/ Google Brain \u7814\u7a76\u5458，RLHF \u7684\u5171\u540c\u53d1\u660e\u4eba，ChatGPT \u80cc\u540e\u6307\u4ee4\u9075\u5faa\u7814\u7a76\u7684\u6838\u5fc3\u8d21\u732e\u8005<\/td>\n<\/tr>\n
      \u8054\u5408\u521b\u59cb\u4eba<\/td>\nErik Gafni\u3001Sasha Sheng<\/td>\n<\/tr>\n
      \u878d\u8d44<\/td>\n\u7ea6 4000 \u4e07\u7f8e\u5143\u79cd\u5b50\u8f6e，DCVC \u9886\u6295<\/td>\n<\/tr>\n
      \u4ea7\u54c1<\/td>\nJev（\u7b2c\u4e00\u4e2a System One \u6a21\u578b），\u6258\u7ba1 API \u670d\u52a1<\/td>\n<\/tr>\n
      \u5b98\u7f51<\/td>\ntypesafe.ai \/ docs.typesafe.ai \/ evals.typesafe.ai<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      \u503c\u5f97\u6ce8\u610f\u7684\u620f\u5267\u6027\u7ec6\u8282：RLHF \u7684\u5171\u540c\u53d1\u660e\u4eba，\u73b0\u5728\u516c\u5f00\u8bba\u8bc1 RLHF \u7684\u5c40\u9650（\u89c1\u7b2c 8 \u8282），\u5e76\u63d0\u51fa\u7b2c\u4e09\u6761\u540e\u8bad\u7ec3\u8def\u7ebf RLCD\u3002<\/p>\n

      \n

      4. \u6838\u5fc3\u601d\u60f3：\u4ece"\u804a\u5929\u667a\u80fd"\u5230"\u673a\u5668\u539f\u751f\u667a\u80fd"<\/h3>\n

      TypeSafe \u628a\u4ed6\u4eec\u7684\u8bbe\u8ba1\u54f2\u5b66\u79f0\u4e3a Machine Native Intelligence（\u673a\u5668\u539f\u751f\u667a\u80fd）：AI \u5e94\u5f53\u5177\u5907\u7c7b\u4f3c\u8f6f\u4ef6\u7684\u6027\u8d28\u2014\u2014<\/p>\n

        \n
      • \u7ed3\u6784\u5316（structure）：\u8f93\u51fa\u662f\u9884\u5b9a\u4e49\u7c7b\u578b\u7684\u503c，\u4e0d\u662f\u81ea\u7531\u6587\u672c；<\/li>\n
      • \u53ef\u9760（reliability）：\u6570\u5b66\u4e0a\u4e0d\u53ef\u80fd\u4ea7\u751f\u7c7b\u578b\u9519\u8bef；<\/li>\n
      • \u53ef\u89c2\u6d4b（observability）：\u6bcf\u4e2a\u7b54\u6848\u90fd\u5e26\u6982\u7387\u5206\u5e03\u548c\u7f6e\u4fe1\u5ea6；<\/li>\n
      • \u53ef\u6d4b\u8bd5（testability）：\u76f8\u540c\u8f93\u5165\u503e\u5411\u7ed9\u51fa\u4e00\u81f4\u7b54\u6848；<\/li>\n
      • \u5feb\u901f（speed）：\u6beb\u79d2\u7ea7\u54cd\u5e94；<\/li>\n
      • \u4e00\u81f4（consistency） \u4e0e \u4f4e\u6210\u672c（low cost）\u3002<\/li>\n<\/ul>\n

        \u4ed6\u4eec\u7528\u4e00\u53e5\u8bdd\u6982\u62ec\u81ea\u5df1\u7684\u8def\u7ebf：\u201cBuilding prod, not God\u201d（\u9020\u751f\u4ea7\u7cfb\u7edf，\u800c\u4e0d\u662f\u9020\u4e0a\u5e1d）\u2014\u2014\u4e0d\u8ffd\u6c42\u4e00\u4e2a\u65e0\u6240\u4e0d\u80fd\u7684\u6a21\u578b，\u800c\u662f\u9020\u4e00\u4e2a\u5728\u751f\u4ea7\u7cfb\u7edf\u91cc\u80fd\u88ab\u4ee3\u7801\u68c0\u67e5\u3001\u7ec4\u5408\u3001\u4f9d\u8d56\u7684\u7a84\u51b3\u7b56\u7ec4\u4ef6\u3002<\/p>\n

        \u6838\u5fc3\u53d6\u820d\u975e\u5e38\u6e05\u6670：\u653e\u5f03\u5b57\u7b26\u4e32\u751f\u6210（\u901a\u7528\u6027），\u6362\u53d6\u7c7b\u578b\u5b89\u5168\u3001\u6821\u51c6\u7f6e\u4fe1\u5ea6\u3001\u6781\u81f4\u901f\u5ea6\u3002 \u5b57\u7b26\u4e32\u6781\u5176\u5f3a\u5927\u548c\u901a\u7528，\u4f46\u4ee3\u4ef7\u9ad8\u6602；\u201c\u653e\u5f03\u5b57\u7b26\u4e32"\u53cd\u800c\u5e26\u6765\u4e00\u7cfb\u5217"\u8d85\u80fd\u529b\u201d：\u5e76\u884c\u91c7\u6837\u3001\u65e0\u5e7b\u89c9\u3001\u8f93\u51fa\u514d\u8d39\u3001\u6beb\u79d2\u7ea7\u5ef6\u8fdf\u3002<\/p>\n

        \n

        5. \u4ec0\u4e48\u662f System One \u6a21\u578b<\/h3>\n

        5.1 \u5b9a\u4e49<\/h4>\n

        System One \u6a21\u578b\u662f\u4e00\u7c7b\u4e3a\u8f6f\u4ef6\u505a\u5feb\u901f\u7ed3\u6784\u5316\u51b3\u7b56\u7684 AI \u6a21\u578b\u3002\u548c LLM \u4e00\u6837，\u5b83\u80fd\u7406\u89e3\u81ea\u7136\u8bed\u8a00\u8f93\u5165；\u4e0d\u540c\u7684\u662f，\u5b83\u8bc4\u4f30\u4e00\u4e2a state（\u72b6\u6001） \u5e76\u8fd4\u56de\u7c7b\u578b\u5316\u7b54\u6848\u548c\u6982\u7387，\u800c\u4e0d\u662f\u751f\u6210\u6587\u672c\u3002<\/p>\n

        \u5de5\u4f5c\u65b9\u5f0f：<\/p>\n

      • \u4f60\u63d0\u4f9b\u4e00\u4e2a state\u2014\u2014\u975e\u7ed3\u6784\u5316\u6570\u636e（\u6587\u672c\u5b57\u7b26\u4e32\u3001JSON \u5bf9\u8c61\u3001\u6587\u672c\u6570\u7ec4），\u4f8b\u5982\u4e00\u5c01\u5ba2\u6237\u90ae\u4ef6\u3001\u4e00\u6bb5\u5bf9\u8bdd\u8bb0\u5f55\u3001\u4e00\u4efd\u5de5\u5355\u53ca\u5176\u5173\u8054\u7684\u8ba2\u5355\u548c\u653f\u7b56；<\/li>\n
      • \u4f60\u5b9a\u4e49\u4e00\u7ec4\u7c7b\u578b\u5316\u95ee\u9898（Choice \/ Score \/ Noul，\u89c1\u7b2c 7 \u8282）；<\/li>\n
      • \u6a21\u578b\u5728\u4e00\u6b21\u67e5\u8be2\u4e2d\u5e76\u884c\u8bc4\u4f30\u6240\u6709\u95ee\u9898，\u8fd4\u56de\u6bcf\u4e2a\u95ee\u9898\u7684\u7c7b\u578b\u5316\u7b54\u6848\u3001\u6982\u7387\u5206\u5e03\u548c\u7f6e\u4fe1\u5ea6；<\/li>\n
      • \u4f60\u7684\u4ee3\u7801\u57fa\u4e8e\u8fd9\u4e9b\u7ed3\u679c\u505a\u5206\u652f\u3001\u6392\u5e8f\u3001\u8def\u7531\u3002<\/li>\n

        5.2 \u547d\u540d<\/h4>\n

        \u540d\u5b57\u53d6\u81ea\u4e39\u5c3c\u5c14\u00b7\u5361\u5c3c\u66fc\u300a\u601d\u8003，\u5feb\u4e0e\u6162\u300b\u4e2d"\u7cfb\u7edf\u4e00"（\u5feb\u901f\u3001\u76f4\u89c9）\u4e0e"\u7cfb\u7edf\u4e8c"（\u7f13\u6162\u3001\u5ba1\u614e）\u7684\u533a\u5206\u3002\u4f20\u7edf\u4e0a"\u7cfb\u7edf\u4e00\u601d\u7ef4"\u4e5f\u610f\u5473\u7740\u5bb9\u6613\u51fa\u9519，\u4f46 TypeSafe \u8ba4\u4e3a System One \u6a21\u578b\u53ef\u4ee5\u505a\u5f97\u6bd4\u66ff\u4ee3\u65b9\u6848\u66f4\u53ef\u9760（\u7406\u7531\u5c06\u5728\u672a\u6765\u516c\u5e03）\u3002<\/p>\n

        5.3 \u4e0e LLM \u7684\u672c\u8d28\u533a\u522b<\/h4>\n\n\u7ef4\u5ea6\u4f20\u7edf LLMSystem One \u6a21\u578b（Jev）<\/tr>\n\n\n\n\n\n\n\n\n
        \u8bad\u7ec3\u4f18\u5316<\/td>\nRLHF \/ RLVR<\/td>\nRLCD（\u6821\u51c6\u51b3\u7b56\u5f3a\u5316\u5b66\u4e60）<\/td>\n<\/tr>\n
        \u4f18\u5316\u76ee\u6807<\/td>\n\u4eba\u7c7b\u504f\u597d\u7684\u6587\u672c \/ \u53ef\u9a8c\u8bc1\u7684\u6b63\u786e\u7b54\u6848<\/td>\n\u8ba4\u77e5\u4e0a\u8bda\u5b9e\u7684\u6982\u7387\u4e0e\u51b3\u7b56<\/td>\n<\/tr>\n
        \u8f93\u5165\u4fa7\u91cd<\/td>\n\u987a\u5e8f\u7684\u5bf9\u8bdd\u6d88\u606f<\/td>\n\u7ed3\u6784\u5316\u7684\u7a0b\u5e8f\u72b6\u6001<\/td>\n<\/tr>\n
        \u8f93\u51fa<\/td>\n\u81ea\u7531\u5b57\u7b26\u4e32（\u9700\u89e3\u6790\u6821\u9a8c）<\/td>\n\u7c7b\u578b\u5b89\u5168\u7684\u7ed3\u6784\u5316\u503c（\u9884\u5b9a\u4e49\u7b54\u6848\u7a7a\u95f4）<\/td>\n<\/tr>\n
        \u91c7\u6837<\/td>\n\u81ea\u56de\u5f52\u3001\u9010 token \u987a\u5e8f\u751f\u6210<\/td>\n\u5355\u6b21\u67e5\u8be2\u5e76\u884c\u4ea7\u51fa\u5168\u90e8\u8f93\u51fa<\/td>\n<\/tr>\n
        \u5e7b\u89c9<\/td>\n\u59cb\u7ec8\u5b58\u5728\u98ce\u9669<\/td>\n\u67b6\u6784\u4e0a\u65e0\u6cd5\u4ea7\u751f schema \u5916\u8f93\u51fa<\/td>\n<\/tr>\n
        \u7f6e\u4fe1\u5ea6<\/td>\n\u63d0\u793a\u8bcd\u903c\u51fa\u6765\u7684\u3001\u5f80\u5f80\u8fc7\u5ea6\u81ea\u4fe1<\/td>\n\u6bcf\u4e2a\u8f93\u51fa\u81ea\u5e26\u6821\u51c6\u6982\u7387<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
        \n

        6. Jev \u6a21\u578b\u89c4\u683c\u4e00\u89c8<\/h3>\n

        \u5f53\u524d\u7248\u672c\u4e3a Jev 1.13（jev-1.13.0）：<\/p>\n\n\u89c4\u683c\u6570\u503c<\/tr>\n\n\n\n\n\n\n\n\n\n\n\n\n
        \u7aef\u70b9<\/td>\nPOST https:\/\/api.typesafe.ai\/v1\/systemone<\/td>\n<\/tr>\n
        \u6a21\u578b\u522b\u540d<\/td>\njev-latest（\u7a33\u5b9a\u7248，SDK \u9ed8\u8ba4）\u3001jev-preview（\u9884\u89c8\u7248，\u5f53\u524d\u4e0e latest \u76f8\u540c）<\/td>\n<\/tr>\n
        \u8f93\u5165<\/td>\n\u4ec5\u6587\u672c：\u5b57\u7b26\u4e32\u3001JSON \u5bf9\u8c61\u3001\u6587\u672c\u6570\u7ec4（\u4e0d\u652f\u6301\u56fe\u50cf\/\u97f3\u9891\/\u89c6\u9891）<\/td>\n<\/tr>\n
        \u4e0a\u4e0b\u6587\u957f\u5ea6<\/td>\n\u5355\u6b21\u8bf7\u6c42\u603b\u8ba1 64k tokens（state + \u6240\u6709\u95ee\u9898）；state + \u6700\u957f\u5355\u4e2a\u95ee\u9898 32k tokens<\/td>\n<\/tr>\n
        \u5ef6\u8fdf<\/td>\n\u7aef\u5230\u7aef 70\u2013500ms（\u5b98\u65b9\u4ece\u7f8e\u56fd\u897f\u5cb8\u7b14\u8bb0\u672c\u5b9e\u6d4b；\u6bd4\u524d\u6cbf LLM \u5feb 40\u2013200 \u500d）<\/td>\n<\/tr>\n
        \u4ef7\u683c<\/td>\n\u8f93\u5165 $0.042 \/ \u767e\u4e07 tokens（$42 \/ \u5341\u4ebf tokens）；\u8f93\u51fa tokens \u514d\u8d39<\/td>\n<\/tr>\n
        \u901f\u7387\u9650\u5236<\/td>\n250,000 tokens\/\u79d2，1,200 \u8bf7\u6c42\/\u5206\u949f（early access \u671f\u95f4\u52a8\u6001\u8c03\u6574；\u8d85\u9650\u8fd4\u56de 429，SDK \u81ea\u52a8\u9000\u907f\u91cd\u8bd5）<\/td>\n<\/tr>\n
        Choice \u57fa\u6570\u4e0a\u9650<\/td>\n\u6700\u591a 255 \u4e2a\u9009\u9879；\u66f4\u9ad8\u57fa\u6570\u8d70"\u5148\u72ec\u7acb\u6253\u5206\u3001\u518d\u663e\u5f0f\u9009\u62e9"\u7684\u4e24\u9636\u6bb5\u65b9\u6848<\/td>\n<\/tr>\n
        \u8bed\u8a00<\/td>\n\u82f1\u8bed\u4e3a\u4e3b\u8981\u8bad\u7ec3\u8bed\u8a00\u3001\u6548\u679c\u6700\u597d；\u5176\u4ed6\u8bed\u8a00（\u542b\u4e2d\u65e5\u97e9）\u53ef\u7528\u4f46\u6548\u679c\u4e0d\u7b49，\u9700\u81ea\u884c\u6d4b\u8bd5<\/td>\n<\/tr>\n
        \u5fae\u8c03<\/td>\n\u4e0d\u652f\u6301\u7528\u5ba2\u6237\u6570\u636e\u5fae\u8c03\u6216 LoRA；\u6240\u6709\u8d26\u6237\u5171\u4eab\u540c\u4e00\u6743\u91cd，\u901a\u8fc7 state \u548c instructions \u5b9a\u5236<\/td>\n<\/tr>\n
        \u6570\u636e\u653f\u7b56<\/td>\n\u4e0d\u7528\u5ba2\u6237\u8bf7\u6c42\/\u54cd\u5e94\u505a\u8bad\u7ec3；\u4f01\u4e1a\u5ba2\u6237\u652f\u6301\u96f6\u6570\u636e\u4fdd\u7559（ZDR）<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

        \u5173\u4e8e\u522b\u540d：\u522b\u540d\u4f1a\u968f\u65b0\u7248\u672c\u53d1\u5e03\u800c\u79fb\u52a8，\u54cd\u5e94\u4e2d\u7684 model \u5b57\u6bb5\u4f1a\u8fd4\u56de\u5b9e\u9645\u7684\u7248\u672c\u5316 ID\u3002\u5982\u679c\u4f60\u9488\u5bf9\u67d0\u4e2a\u7248\u672c\u8c03\u597d\u4e86\u7f6e\u4fe1\u5ea6\u9608\u503c，\u5e94\u5f53 pin \u4f4f\u5177\u4f53\u7248\u672c\u53f7（\u5982 jev-1.13.0）\u800c\u4e0d\u662f\u7528\u522b\u540d\u3002<\/p>\n

        \n

        7. \u4e09\u79cd AI \u539f\u8bed（Primitives）<\/h3>\n

        TypeSafe \u63d0\u4f9b\u4e09\u79cd"AI \u539f\u8bed"\u2014\u2014\u7c7b\u4f3c\u8f6f\u4ef6\u539f\u8bed，\u6a21\u5757\u5316\u3001\u53ef\u7ec4\u5408\u3001\u7ed3\u6784\u5316\u3001\u53ef\u9760\u3001\u5feb\u901f\u3002\u6bcf\u4e2a\u539f\u8bed = \u4e00\u4e2a\u95ee\u9898（\u5b9a\u4e49\u4e00\u6b21\u5224\u65ad）+ \u4e00\u4e2a\u7c7b\u578b\u5316\u7b54\u6848\u3002<\/p>\n\n\u539f\u8bed\u56de\u7b54\u4ec0\u4e48\u8fd4\u56de\u5b57\u6bb5\u5178\u578b\u573a\u666f<\/tr>\n\n\n\n\n
        Choice<\/td>\n\u4ece\u8fd9\u4e9b\u9009\u9879\u4e2d\u9009\u54ea\u4e2a？<\/td>\nchoice\u3001probabilities\u3001confidence<\/td>\n\u5de5\u5355\u8def\u7531\u3001\u6587\u6863\u5206\u7c7b\u3001\u8bed\u8a00\u8bc6\u522b（\u6700\u591a 255 \u4e2a\u9009\u9879）<\/td>\n<\/tr>\n
        Score<\/td>\n\u5904\u4e8e\u91cf\u8868\u4e0a\u54ea\u4e00\u7ea7？<\/td>\nscore\u3001legend\u3001probabilities\u3001confidence<\/td>\n\u4e25\u91cd\u5ea6\u3001\u5ba2\u6237\u632b\u8d25\u611f\u3001\u6280\u80fd\u6c34\u5e73（2\u201310 \u4e2a\u6709\u5e8f\u7b49\u7ea7）<\/td>\n<\/tr>\n
        Noul<\/td>\n\u8fd9\u4e2a\u8bf4\u6cd5\u4e3a\u771f\u5417？<\/td>\nnoul（0\u20131 \u7684\u6982\u7387）<\/td>\n\u662f\u5426\u8bf7\u6c42\u9000\u6b3e\u3001\u662f\u5426\u62a5 bug\u3001\u7b80\u5386\u662f\u5426\u63d0\u5230\u5206\u5e03\u5f0f\u7cfb\u7edf<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

        \u201cNoul\u201d \u662f TypeSafe \u81ea\u9020\u7684\u672f\u8bed，\u8868\u793a\u4e00\u4e2a\u662f\u975e\u5224\u65ad\u7684\u6982\u7387\u3002<\/p>\n

        7.1 \u95ee\u9898\u7684\u7ed3\u6784<\/h4>\n

        \u6bcf\u4e2a\u95ee\u9898\u5305\u542b：<\/p>\n

          \n
        • ID：\u4f60\u81ea\u5df1\u9009\u7684\u952e（\u5982 refund_requested），\u4ec5\u7528\u4e8e\u4ee3\u7801，\u4e0d\u53d1\u9001\u7ed9\u6a21\u578b；<\/li>\n
        • type：choice \/ score \/ noul；<\/li>\n
        • instructions：\u8bc4\u4f30\u903b\u8f91\u6240\u5728\u2014\u2014\u6e05\u6670\u3001\u5177\u4f53\u7684\u95ee\u9898\u6216\u5f85\u5224\u65ad\u7684\u9648\u8ff0；<\/li>\n
        • criteria（Choice\/Score \u5fc5\u586b，Noul \u53ef\u9009）：\u53ef\u9009\u7b54\u6848\u7a7a\u95f4\u2014\u2014Choice \u7684\u9009\u9879\u6620\u5c04\u3001Score \u7684\u6709\u5e8f\u7b49\u7ea7\u5217\u8868\u3001Noul \u5bf9"\u662f\/\u5426"\u542b\u4e49\u7684\u6f84\u6e05\u3002<\/li>\n<\/ul>\n

          7.2 \u5982\u4f55\u9009\u62e9\u539f\u8bed\u7c7b\u578b<\/h4>\n
            \n
          • \u7b54\u6848\u662f\u65e0\u5e8f\u5df2\u77e5\u96c6\u5408\u4e4b\u4e00 \u2192 Choice（\u5efa\u8bae\u52a0\u4e00\u4e2a other \/ "\u4ee5\u4e0a\u7686\u975e"\u9009\u9879\u515c\u5e95）；<\/li>\n
          • \u7b54\u6848\u5728\u4e00\u4e2a\u8fde\u7eed\u8c31\u4e0a\u3001\u4e14\u6bcf\u4e00\u7ea7\u53ef\u4ee5\u660e\u786e\u5b9a\u4e49 \u2192 Score；<\/li>\n
          • \u5e72\u51c0\u7684\u662f\u975e\u5224\u65ad\u3001\u6982\u7387\u672c\u8eab\u5c31\u662f\u6709\u7528\u4fe1\u53f7 \u2192 Noul；<\/li>\n
          • \u5982\u679c\u4e24\u79cd\u90fd\u5408\u9002，\u9009\u4ee3\u7801\u80fd\u76f4\u63a5\u6d88\u8d39\u7684\u90a3\u4e2a：Choice \u6620\u5c04\u5230\u5206\u652f\u3001Score \u6620\u5c04\u5230\u9608\u503c\u3001Noul \u6620\u5c04\u5230 if\u3002<\/li>\n<\/ul>\n

            \u4e00\u4e2a\u5e38\u89c1\u9677\u9631：Noul \u8fd4\u56de 0.5 \u8868\u793a"\u662f\/\u5426\u6982\u7387\u76f8\u7b49"（\u6a21\u578b\u4e0d\u786e\u5b9a），\u4e0d\u8868\u793a"\u7a0b\u5ea6\u4e2d\u7b49"\u3002\u60f3\u6d4b\u7a0b\u5ea6\u8bf7\u7528 Score\u3002<\/p>\n

            7.3 \u5e76\u884c\u4e0e\u72ec\u7acb<\/h4>\n

            \u4e00\u6b21\u8bf7\u6c42\u4e2d\u7684\u6240\u6709\u95ee\u9898\u9488\u5bf9\u540c\u4e00\u4e2a state \u5e76\u884c\u3001\u72ec\u7acb\u8bc4\u4f30：<\/p>\n

              \n
            • \u589e\u52a0\u95ee\u9898\u51e0\u4e4e\u4e0d\u589e\u52a0\u54cd\u5e94\u65f6\u95f4（\u6210\u672c\u53ea\u662f\u591a\u51e0\u4e2a\u95ee\u9898\u7684\u8f93\u5165 token，\u5f88\u4fbf\u5b9c）；<\/li>\n
            • \u95ee\u9898\u4e4b\u95f4\u76f8\u4e92\u72ec\u7acb，\u4e0d\u4f1a\u4ea7\u751f context-rot（\u4e0a\u4e0b\u6587\u8150\u5316），\u589e\u5220\u95ee\u9898\u4e0d\u5f71\u54cd\u5176\u4ed6\u95ee\u9898\u7684\u7ed3\u679c；<\/li>\n
            • \u5b98\u65b9\u5efa\u8bae：\u201c\u95ee\u4e00\u4e2a\u4f60\u53ef\u80fd\u4e0d\u9700\u8981\u7684\u95ee\u9898，\u6210\u672c\u63a5\u8fd1\u4e8e\u96f6\u3002\u201d<\/li>\n<\/ul>\n

              7.4 \u539f\u5b50\u5316\u95ee\u9898，\u4ee3\u7801\u4e2d\u7ec4\u5408（\u6700\u91cd\u8981\u7684\u65b9\u6cd5\u8bba）<\/h4>\n

              System One \u6a21\u578b\u7684\u6700\u4f73\u5b9e\u8df5\u662f：\u6bcf\u4e2a\u95ee\u9898\u53ea\u95ee\u4e00\u4ef6\u5177\u4f53\u3001\u8303\u56f4\u660e\u786e\u7684\u4e8b\u2014\u2014\u4e00\u4e2a\u77e5\u8bc6\u4e30\u5bcc\u7684\u4eba\u51e0\u79d2\u949f\u5185\u80fd\u505a\u7684\u90a3\u79cd"\u76f4\u89c9\u5224\u65ad"\u3002\u9700\u8981\u957f\u7bc7\u63a8\u7406\u6216\u591a\u56e0\u7d20\u6743\u8861\u7684\u95ee\u9898，\u5e94\u5f53\u62c6\u6210\u591a\u4e2a\u539f\u5b50\u95ee\u9898，\u7136\u540e\u5728\u4ee3\u7801\u91cc\u52a0\u6743\u7ec4\u5408\u3002<\/p>\n

              \u4f8b\u5982\u4e0d\u8981\u95ee"\u7ed9\u8fd9\u4e2a\u521b\u4e1a pitch \u6253\u5206"，\u800c\u662f\u5206\u522b\u95ee\u5e02\u573a\u89c4\u6a21\u3001\u6280\u672f\u53ef\u884c\u6027\u3001\u5dee\u5f02\u5316，\u518d\u7528\u81ea\u5df1\u7684\u516c\u5f0f\u5408\u6210\u3002\u4f18\u5148\u7ea7\u53d8\u5316\u65f6，\u6539\u4ee3\u7801\u91cc\u7684\u7cfb\u6570，\u800c\u4e0d\u662f\u91cd\u5199 prompt\u3002<\/p>\n

              \u95ee\u9898\u8fd8\u53ef\u4ee5\u7528\u53cd\u5f15\u53f7\u8def\u5f84\u5f15\u7528 state \u4e2d\u7684\u7279\u5b9a\u5b57\u6bb5，\u4f8b\u5982：<\/p>\n

              {<\/span>
              \n "refund_requested"<\/span>:<\/span> {<\/span>
              \n "type"<\/span>:<\/span> "noul"<\/span>,<\/span>
              \n "instructions"<\/span>:<\/span> "Does `ticket.messages[0].text` request a refund?"<\/span>
              \n }<\/span>
              \n}<\/span><\/p>\n

              \n

              8. \u8bad\u7ec3\u65b9\u6cd5：RLCD \u4e0e\u6821\u51c6\u51b3\u7b56<\/h3>\n

              8.1 \u4e09\u79cd\u540e\u8bad\u7ec3\u8def\u7ebf<\/h4>\n

              \u9884\u8bad\u7ec3\u8bed\u8a00\u6a21\u578b\u4e4b\u540e，\u4e1a\u754c\u6709\u4e24\u6761\u4e3b\u8981\u540e\u8bad\u7ec3\u8def\u7ebf，TypeSafe \u63d0\u51fa\u4e86\u7b2c\u4e09\u6761：<\/p>\n\n\u8def\u7ebf\u5168\u79f0\u9020\u5c31\u4e86\u4ec0\u4e48\u4f18\u5316\u76ee\u6807<\/tr>\n\n\n\n\n
              RLHF<\/td>\n\u4eba\u7c7b\u53cd\u9988\u5f3a\u5316\u5b66\u4e60<\/td>\n\u804a\u5929\u673a\u5668\u4eba（InstructGPT\/ChatGPT）<\/td>\n\u4eba\u7c7b\u504f\u597d\u7684\u56de\u7b54<\/td>\n<\/tr>\n
              RLVR<\/td>\n\u53ef\u9a8c\u8bc1\u5956\u52b1\u5f3a\u5316\u5b66\u4e60<\/td>\n\u63a8\u7406\u6a21\u578b（\u6570\u5b66\u7b49\u4efb\u52a1\u5f3a，\u4f46\u6162\u4e14\u8d35）<\/td>\n\u53ef\u7a0b\u5e8f\u5316\u9a8c\u8bc1\u7684\u6b63\u786e\u6027<\/td>\n<\/tr>\n
              RLCD<\/td>\n\u6821\u51c6\u51b3\u7b56\u5f3a\u5316\u5b66\u4e60（Reinforcement Learning for Calibrated Decisions）<\/td>\nSystem One \u51b3\u7b56\u6a21\u578b<\/td>\n\u51b3\u7b56 + \u6821\u51c6\u6982\u7387，\u66f4\u9ad8\u7684\u6982\u7387\u5e94\u5bf9\u5e94\u66f4\u9ad8\u7684\u6b63\u786e\u7387<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

              8.2 RLHF \u7684\u95ee\u9898（RLHF \u5171\u540c\u53d1\u660e\u4eba\u7684\u81ea\u6211\u6279\u5224）<\/h4>\n
                \n
              • RLHF \u8bad\u7ec3\u6a21\u578b\u8bf4"\u4eba\u4eec\u559c\u6b22\u542c\u7684\u8bdd"\u2014\u2014\u8fd9\u5bf9\u804a\u5929\u673a\u5668\u4eba\u6709\u6548，\u4f46\u4e5f\u4f1a\u5956\u52b1\u8c04\u5a9a（sycophancy）\u548c\u542c\u8d77\u6765\u81ea\u4fe1\u7684\u5e7b\u89c9；<\/li>\n
              • \u504f\u597d\u4f18\u5316\u5bfc\u81f4 mode dropping（\u6a21\u6001\u6389\u843d）：\u6a21\u578b\u504f\u5411\u67d0\u79cd\u98ce\u683c（\u5982\u6307\u4ee4\u9075\u5faa），\u538b\u4f4e\u5176\u4ed6\u53ef\u80fd\u8f93\u51fa\u7684\u6982\u7387\u2014\u2014\u8fd9\u662f GAN \u4e2d"\u6a21\u6001\u5d29\u584c"\u7684\u6e29\u548c\u7248\u672c；<\/li>\n
              • \u4e00\u4e2a\u5bf9\u4eba\u6765\u8bf4"\u8bfb\u8d77\u6765\u6709\u8bf4\u670d\u529b"\u7684\u8f93\u51fa，\u672a\u5fc5\u53ef\u9760\u5230\u53ef\u4ee5\u65e0\u4eba\u503c\u5b88\u5730\u81ea\u52a8\u5316\u3002\u4eba\u7c7b\u504f\u597d\u4e0e\u673a\u5668\u53ef\u4fe1\u662f\u4e24\u4e2a\u4e0d\u540c\u7684\u4f18\u5316\u76ee\u6807\u3002<\/li>\n<\/ul>\n

                8.3 \u6821\u51c6（Calibration）\u662f\u4ec0\u4e48<\/h4>\n

                RLCD \u4f18\u5316\u7684\u8f93\u51fa\u5951\u7ea6：\u6a21\u578b\u4e0d\u751f\u6210\u6587\u672c，\u53ea\u8fd4\u56de\u51b3\u7b56\u548c\u6982\u7387，\u4e14\u6982\u7387\u5e94\u5f53\u8ba4\u77e5\u8bda\u5b9e\u2014\u2014<\/p>\n

                  \n
                • \u88ab\u8d4b\u4e88 0.2 \u6982\u7387\u7684\u7ed3\u679c，\u5e94\u5728\u7ea6 20% \u7684\u60c5\u51b5\u4e0b\u53d1\u751f；<\/li>\n
                • \u88ab\u8d4b\u4e88 0.8 \u6982\u7387\u7684\u7ed3\u679c，\u5e94\u5728\u7ea6 80% \u7684\u60c5\u51b5\u4e0b\u53d1\u751f；<\/li>\n
                • \u88ab\u8d4b\u4e88 1.0 \u6982\u7387\u7684\u7ed3\u679c，\u5e94 100% \u53d1\u751f\u3002<\/li>\n<\/ul>\n

                  \u6ce8\u610f：\u6821\u51c6\u662f\u5bf9\u6210\u7ec4\u9884\u6d4b\u7684\u7edf\u8ba1\u6027\u8d28，\u4e0d\u662f\u5bf9\u5355\u4e2a\u7b54\u6848\u6b63\u786e\u7684\u4fdd\u8bc1\u3002<\/p>\n

                  \u4e3a\u4ec0\u4e48\u8fd9\u5bf9\u81ea\u52a8\u5316\u662f"\u5165\u573a\u5238"：\u5982\u679c\u4e00\u4e2a\u6a21\u578b\u80fd\u4ee5 95% \u7684\u51c6\u786e\u7387\u5b8c\u6210\u4efb\u52a1\u3001\u4f46\u4e0d\u8bf4\u81ea\u5df1\u4ec0\u4e48\u65f6\u5019\u5728\u90a3 5% \u91cc，\u8fd9\u4e2a\u4efb\u52a1\u5c31\u65e0\u6cd5\u88ab\u81ea\u52a8\u5316\u3002LLM \u5373\u4f7f\u88ab\u8981\u6c42\u8f93\u51fa\u7f6e\u4fe1\u5ea6，\u4e5f\u5f80\u5f80\u8fc7\u5ea6\u81ea\u4fe1\u4e14\u4e0d\u4e00\u81f4\u3002<\/p>\n

                  \n

                  9. \u7f6e\u4fe1\u5ea6（Confidence）\u4f53\u7cfb<\/h3>\n

                  9.1 \u5b9a\u4e49<\/h4>\n
                    \n
                  • Choice \u548c Score \u7684\u7b54\u6848\u90fd\u5e26 probabilities（\u9009\u9879\/\u7b49\u7ea7\u4e0a\u7684\u5b8c\u6574\u6982\u7387\u5206\u5e03）；<\/li>\n
                  • \u5206\u5e03\u7684\u5f62\u72b6\u8bf4\u660e\u786e\u5b9a\u6027：\u96c6\u4e2d\u5728\u4e00\u4e2a\u7ed3\u679c\u4e0a = \u81ea\u4fe1；\u5e73\u5766\u644a\u5f00 = \u4e0d\u786e\u5b9a；<\/li>\n
                  • confidence \u662f\u628a\u5206\u5e03\u5f62\u72b6\u6298\u53e0\u6210\u7684 0\u20131 \u5355\u503c\u7edf\u8ba1\u91cf，\u65b9\u4fbf\u76f4\u63a5\u8bbe\u9608\u503c（Noul \u6ca1\u6709\u5355\u72ec\u7684 confidence，\u5176\u6982\u7387\u672c\u8eab\u5c31\u662f\u4fe1\u53f7）；<\/li>\n
                  • \u5b98\u65b9\u63d0\u4f9b confidence \u53ea\u662f"\u7a33\u59a5\u7684\u9ed8\u8ba4\u503c"\u2014\u2014\u54cd\u5e94\u91cc\u6c38\u8fdc\u5e26\u7740\u5b8c\u6574 probabilities，\u4f60\u53ef\u4ee5\u6309\u81ea\u5df1\u7684\u573a\u666f\u5b9a\u4e49\u66f4\u597d\u7684\u786e\u5b9a\u6027\u5ea6\u91cf\u3002<\/li>\n<\/ul>\n

                    9.2 "\u6211\u4e0d\u77e5\u9053"\u662f\u6709\u7528\u7684\u4fe1\u53f7<\/h4>\n

                    \u5982\u679c\u4e00\u4e2a\u667a\u80fd\u7cfb\u7edf（\u65e0\u8bba\u4eba\u8fd8\u662f\u673a\u5668）\u65e0\u6cd5\u8868\u8fbe\u8bda\u5b9e\u7684\u4e0d\u786e\u5b9a\u6027，\u8fd9\u4e2a\u7cfb\u7edf\u5c31\u4e0d\u53ef\u4fe1\u3002<\/p>\n

                    \u7f6e\u4fe1\u5ea6\u8ba9\u4ee3\u7801\u53ef\u4ee5\u9488\u5bf9\u4e0d\u540c\u786e\u5b9a\u7a0b\u5ea6\u5b9e\u73b0\u4e0d\u540c\u884c\u4e3a，\u8fd9\u662f\u6784\u5efa\u53ef\u9760\u7cfb\u7edf\u7684\u57fa\u7840\u3002<\/p>\n

                    9.3 \u4e09\u6bb5\u5f0f\u4f7f\u7528\u6a21\u5f0f<\/h4>\n
                      \n
                    • \u9ad8\u7f6e\u4fe1\u5ea6 \u2192 \u81ea\u52a8\u6267\u884c；<\/li>\n
                    • \u4e2d\u7f6e\u4fe1\u5ea6 \u2192 \u8c28\u614e\u63a8\u8fdb：\u8bf7\u7528\u6237\u786e\u8ba4\u3001\u6807\u8bb0\u5f85\u5ba1\u3001\u6216\u5148\u6536\u96c6\u66f4\u591a\u4fe1\u606f；<\/li>\n
                    • \u4f4e\u7f6e\u4fe1\u5ea6 \u2192 \u4e0d\u884c\u52a8：\u8def\u7531\u7ed9\u4eba\u5de5\u3001\u8bf7\u6c42\u6f84\u6e05\u3001\u6216\u56de\u9000\u5230\u5176\u4ed6\u7cfb\u7edf\u3002<\/li>\n<\/ul>\n

                      9.4 \u9608\u503c\u5e94\u968f\u98ce\u9669\u5206\u7ea7<\/h4>\n

                      \u7f6e\u4fe1\u5ea6\u9608\u503c\u4e0d\u662f\u4e00\u4e2a\u6570\u5b57：\u540c\u4e00\u7cfb\u7edf\u4e2d\u4e0d\u540c\u64cd\u4f5c\u5e94\u6309\u51fa\u9519\u540e\u679c\u8bbe\u7f6e\u4e0d\u540c\u95e8\u69db\u3002\u5b98\u65b9\u793a\u4f8b：\u67e5\u4f59\u989d（\u4f4e\u98ce\u9669，confidence > 0.5 \u5373\u53ef\u6267\u884c）vs \u6279\u51c6\u8f6c\u8d26（\u9ad8\u98ce\u9669，confidence > 0.9 \u624d\u81ea\u52a8\u6267\u884c，\u5426\u5219\u8ba9\u7528\u6237\u786e\u8ba4）\u3002\u5177\u4f53\u9608\u503c\u9700\u7ed3\u5408\u4f60\u81ea\u5df1\u7684\u6570\u636e\u5b9e\u6d4b\u8c03\u6574\u3002<\/p>\n

                      \n

                      10. API \u4e0e SDK \u4f7f\u7528\u65b9\u5f0f<\/h3>\n

                      10.1 HTTP API<\/h4>\n

                      curl<\/span> -X<\/span> POST https:\/\/api.typesafe.ai\/v1\/systemone \\\\<\/span>
                      \n -H<\/span> "Authorization: Bearer $TYPESAFE_API_KEY<\/span>"<\/span> \\\\<\/span>
                      \n -H<\/span> "Content-Type: application\/json"<\/span> \\\\<\/span>
                      \n -d<\/span> '{
                      \n "state": "Hi, I'<\/span>\\\\<\/span>''ve been trying to connect my Stripe account for 3 days and it keeps failing. I'<\/span>\\\\<\/span>''m losing sales. Please help ASAP.",
                      \n "model": "jev-latest",
                      \n "questions": {
                      \n "urgency": {
                      \n "type": "noul",
                      \n "instructions": "Does this message express urgency?"
                      \n }
                      \n }
                      \n }'<\/span><\/p>\n

                      \u54cd\u5e94\u793a\u4f8b（\u771f\u5b9e\u683c\u5f0f）：<\/p>\n

                      {<\/span>
                      \n "model"<\/span>:<\/span> "jev-latest"<\/span>,<\/span>
                      \n "answers"<\/span>:<\/span> {<\/span>
                      \n "department"<\/span>:<\/span> {<\/span>
                      \n "type"<\/span>:<\/span> "choice"<\/span>,<\/span>
                      \n "choice"<\/span>:<\/span> "billing"<\/span>,<\/span>
                      \n "probabilities"<\/span>:<\/span> {<\/span> "billing"<\/span>:<\/span> 0.84<\/span>,<\/span> "technical"<\/span>:<\/span> 0.159<\/span>,<\/span> "sales"<\/span>:<\/span> 0.001<\/span> }<\/span>,<\/span>
                      \n "confidence"<\/span>:<\/span> 0.596<\/span>
                      \n }<\/span>,<\/span>
                      \n "frustration"<\/span>:<\/span> {<\/span>
                      \n "type"<\/span>:<\/span> "score"<\/span>,<\/span>
                      \n "score"<\/span>:<\/span> 1.035<\/span>,<\/span>
                      \n "legend"<\/span>:<\/span> {<\/span> "0"<\/span>:<\/span> "Calm, just stating facts"<\/span>,<\/span> "1"<\/span>:<\/span> "Frustrated but civil"<\/span>,<\/span> "2"<\/span>:<\/span> "Very angry, strong language"<\/span> }<\/span>,<\/span>
                      \n "confidence"<\/span>:<\/span> 0.842<\/span>
                      \n }<\/span>,<\/span>
                      \n "is_urgent"<\/span>:<\/span> {<\/span> "type"<\/span>:<\/span> "noul"<\/span>,<\/span> "noul"<\/span>:<\/span> 0.999<\/span> }<\/span>
                      \n }<\/span>,<\/span>
                      \n "usage"<\/span>:<\/span> {<\/span> "input_tokens"<\/span>:<\/span> 312<\/span>,<\/span> "output_tokens"<\/span>:<\/span> 48<\/span> }<\/span>
                      \n}<\/span><\/p>\n

                      10.2 Python SDK<\/h4>\n

                      pip install<\/span> typesafe-sdk # \u9700\u8981 Python >= 3.10<\/span><\/p>\n

                      from<\/span> typesafe_sdk import<\/span> Choice,<\/span> Noul,<\/span> Score,<\/span> TypeSafeClient<\/p>\n

                      client =<\/span> TypeSafeClient(<\/span>)<\/span> # \u4ece\u73af\u5883\u53d8\u91cf TYPESAFE_API_KEY \u8bfb\u53d6\u5bc6\u94a5，\u9ed8\u8ba4\u8c03\u7528 jev-latest<\/span><\/p>\n

                      response =<\/span> client.<\/span>system_one(<\/span>
                      \n state=<\/span>ticket,<\/span>
                      \n questions=<\/span>{<\/span>
                      \n "department"<\/span>:<\/span> Choice(<\/span>
                      \n instructions=<\/span>"Which team should handle this"<\/span>,<\/span>
                      \n criteria=<\/span>{<\/span>
                      \n "billing"<\/span>:<\/span> "Payment or subscription issues"<\/span>,<\/span>
                      \n "technical"<\/span>:<\/span> "Bugs or integration problems"<\/span>,<\/span>
                      \n "sales"<\/span>:<\/span> "Pricing or account questions"<\/span>,<\/span>
                      \n }<\/span>,<\/span>
                      \n )<\/span>,<\/span>
                      \n "frustration"<\/span>:<\/span> Score(<\/span>
                      \n instructions=<\/span>"How frustrated the customer appears"<\/span>,<\/span>
                      \n criteria=<\/span>[<\/span>"Calm, just stating facts"<\/span>,<\/span> "Frustrated but civil"<\/span>,<\/span> "Very angry, strong language"<\/span>]<\/span>,<\/span>
                      \n )<\/span>,<\/span>
                      \n "is_urgent"<\/span>:<\/span> Noul(<\/span>instructions=<\/span>"The message conveys urgency or time-sensitivity"<\/span>)<\/span>,<\/span>
                      \n }<\/span>,<\/span>
                      \n)<\/span><\/p>\n

                      print<\/span>(<\/span>response.<\/span>answers[<\/span>"department"<\/span>]<\/span>.<\/span>choice)<\/span> # "billing"<\/span>
                      \nprint<\/span>(<\/span>response.<\/span>answers[<\/span>"frustration"<\/span>]<\/span>.<\/span>score)<\/span> # 1.035<\/span>
                      \nprint<\/span>(<\/span>response.<\/span>answers[<\/span>"is_urgent"<\/span>]<\/span>.<\/span>noul)<\/span> # 0.999<\/span><\/p>\n

                      \u6b64\u5916\u8fd8\u6709 JavaScript SDK\u3001GET \/v1\/models \u6a21\u578b\u5217\u8868\u63a5\u53e3\u3001\u4ee5\u53ca\u9762\u5411\u7f16\u7a0b agent \u7684\u5b98\u65b9 Skill（Claude Code \u63d2\u4ef6\u6216 npx skills add typesafe-ai\/skills）\u3002<\/p>\n

                      10.3 \u8bd5\u7528\u5165\u53e3<\/h4>\n
                        \n
                      • Playground（\u514d\u5199\u4ee3\u7801）：console.typesafe.ai\/playground<\/li>\n
                      • API key \u7533\u8bf7：console.typesafe.ai\/keys（early access，\u9700\u6392\u961f）<\/li>\n<\/ul>\n
                        \n

                        11. \u5b98\u65b9\u8bc4\u6d4b：Workflow Evals<\/h3>\n

                        TypeSafe \u4e13\u95e8\u5efa\u7acb\u4e86\u4e00\u7c7b\u65b0\u8bc4\u6d4b（evals.typesafe.ai），\u8861\u91cf AI \u5d4c\u5165\u4ee3\u7801\u5de5\u4f5c\u6d41\u4e2d\u7684\u8868\u73b0，\u800c\u975e\u5b64\u7acb benchmark：<\/p>\n

                        11.1 \u65b9\u6cd5<\/h4>\n
                          \n
                        • \u5047\u8bbe\u5b58\u5728\u4e00\u4e2a\u6b63\u786e\u7684\u8ba1\u7b97\u56fe（\u7528\u4ee3\u7801\u8868\u8fbe\u7684"\u5de5\u4f5c\u6d41"），\u628a\u4efb\u52a1\u5206\u89e3\u4e3a\u7a0b\u5e8f\u5316\u89c4\u5219 + \u82e5\u5e72\u72ec\u7acb\u7684\u539f\u5b50\u95ee\u9898（Noul\/Choice\/Score）；<\/li>\n
                        • \u53c2\u7167\u6807\u7b7e：\u7528\u5f53\u65f6\u6700\u5927\u6700\u8d35\u7684\u6a21\u578b\u2014\u2014GPT-6 Astra \u548c Claude Fable 5.1（\u5747\u5f00\u9ad8\u6863\u601d\u8003）\u5bf9\u6bcf\u4e2a\u95ee\u9898\u4f5c\u7b54\u540e\u53d6\u5e73\u5747；<\/li>\n
                        • \u5176\u4ed6\u6a21\u578b\u4ee5\u5404\u81ea\u9ed8\u8ba4\u63a8\u7406\u6863\u4f4d\u8dd1\u540c\u4e00\u5de5\u4f5c\u6d41；<\/li>\n
                        • \u5bf9\u6bd4"\u5de5\u4f5c\u6d41\u65b9\u5f0f"\u4e0e"\u5355\u4e00\u5927 prompt（\u8ba9\u6a21\u578b\u5728\u601d\u7ef4\u94fe\u91cc\u505a\u5168\u90e8\u903b\u8f91）"\u4e24\u79cd\u65b9\u5f0f\u3002<\/li>\n<\/ul>\n

                          11.2 \u7ed3\u8bba<\/h4>\n
                            \n
                          • \u6bcf\u4e2a\u6a21\u578b\u7528\u5de5\u4f5c\u6d41\u65b9\u5f0f\u90fd\u6bd4\u7528\u5927 prompt \u66f4\u51c6\u786e\u3001\u66f4\u4fbf\u5b9c\u3001\u66f4\u5feb\u2014\u2014\u201c\u7ed3\u6784\u603b\u662f\u66f4\u597d\u201d；<\/li>\n
                          • Jev \u4f4d\u4e8e\u5e15\u7d2f\u6258\u524d\u6cbf，\u5728\u76f8\u8fd1\u667a\u80fd\u6c34\u5e73\u4e0b\u901f\u5ea6\/\u6210\u672c\u9886\u5148\u7ea6\u4e24\u4e2a\u6570\u91cf\u7ea7\u2014\u2014\u5b98\u7f51"\u5feb 193.6 \u500d\u3001\u4fbf\u5b9c 444.6 \u500d"\u7684\u8bf4\u6cd5\u5373\u6765\u6e90\u4e8e\u6b64（\u5b98\u65b9\u81ea\u8bc4，\u975e\u72ec\u7acb\u5ba1\u8ba1）；<\/li>\n
                          • \u56db\u4e2a\u516c\u5f00\u5de5\u4f5c\u6d41：\u5b89\u5168\u4e8b\u4ef6\u5904\u7f6e\u3001Agent \u8f68\u8ff9\u53ef\u89c2\u6d4b\u6027\u5ba1\u67e5\u3001\u53d1\u7968\u5904\u7406\u3001\u5ba2\u6237\u670d\u52a1\u3002<\/li>\n<\/ul>\n

                            11.3 \u5b98\u65b9\u81ea\u66dd\u7684\u504f\u5dee（"Nuance"\u5c0f\u8282，\u503c\u5f97\u79f0\u9053）<\/h4>\n
                              \n
                            • 193.6x\/444.6x \u5c5e\u4e8e\u771f\u5b9e\u4e16\u754c\u6536\u76ca\u7684\u504f\u9ad8\u7aef\u4f30\u8ba1；<\/li>\n
                            • \u5de5\u4f5c\u6d41\u7531\u5176\u6a21\u578b\u80fd\u529b\u56e2\u961f\u6210\u5458\u7f16\u5199，\u867d\u975e\u523b\u610f\u7f8e\u5316\u3001\u4e5f\u4e0d\u5728\u8bad\u7ec3\u5206\u5e03\u5185，\u4f46\u504f\u5dee\u53ef\u80fd\u5b58\u5728；<\/li>\n
                            • \u53c2\u7167\u7b54\u6848\u53d6 OpenAI \u4e0e Anthropic \u6a21\u578b\u7684\u5e73\u5747，\u53ef\u80fd\u4f4e\u4f30\u4e86 Jev \u4e0e DeepSeek \u7684\u76f8\u5bf9\u8868\u73b0；<\/li>\n
                            • LLM \u901a\u8fc7\u5b98\u65b9\u7684 System One adapter \u5305\u88c5\u6765\u8f93\u51fa\u7ed3\u6784\u5316\u51b3\u7b56\u2014\u2014\u5b98\u65b9\u8ba4\u4e3a\u8fd9\u662f\u4ece LLM \u83b7\u53d6\u51b3\u7b56\u6700\u51c6\u7684\u65b9\u5f0f，\u4f46\u6bd4"\u4e0d\u5e26\u6982\u7387\u76f4\u63a5\u7ed9\u7b54\u6848"\u66f4\u6162\u66f4\u8d35；<\/li>\n
                            • \u901f\u5ea6\/\u6210\u672c\u58f0\u660e\u65e0\u6cd5\u8bc1\u660e\u6ca1\u6709\u8865\u8d34，\u53ef\u6301\u7eed\u6027\u9700\u957f\u671f\u9a8c\u8bc1\u3002<\/li>\n<\/ul>\n
                              \n

                              12. \u5e7b\u89c9\u4e0e\u7c7b\u578b\u5b89\u5168<\/h3>\n

                              TypeSafe \u7684\u6838\u5fc3\u4e3b\u5f20\u4e4b\u4e00：\u5e7b\u89c9\u4e0e\u7c7b\u578b\u5b89\u5168\u672c\u8d28\u76f8\u5173，\u540e\u8005\u662f\u81ea\u52a8\u5316\u7684\u5165\u573a\u5238\u3002<\/p>\n

                                \n
                              • Jev \u653e\u5f03\u5b57\u7b26\u4e32\u751f\u6210，\u8f93\u51fa\u88ab\u7ea6\u675f\u5728\u9884\u5b9a\u4e49\u7684\u7b54\u6848\u7a7a\u95f4\u5185\u2014\u2014schema \u5339\u914d\u662f\u6570\u5b66\u4fdd\u8bc1，\u4e0d\u662f\u7ecf\u9a8c\u6bd4\u7387（\u5b98\u65b9\u8bc4\u6d4b\u56fe\u4e2d 0% \u7c7b\u578b\u9519\u8bef\u7387\u5c31\u662f\u8fd9\u4e48\u6765\u7684：\u76f4\u63a5\u5199 0，\u56e0\u4e3a\u4e0d\u53ef\u80fd\u51fa\u73b0\u53cd\u4f8b）；<\/li>\n
                              • \u73b0\u6709\u6a21\u578b\u65e0\u8bba\u591a\u806a\u660e，\u4ecd\u7136\u4f1a\u5e7b\u89c9\u3001\u4f1a\u4ea7\u751f\u7c7b\u578b\u9519\u8bef（OpenRouter \u6570\u636e\u4f50\u8bc1，\u5b98\u65b9\u4e5f\u627f\u8ba4\u8be5\u6570\u636e\u6709\u8def\u7531\u504f\u5dee）；<\/li>\n
                              • \u9700\u8981\u6ce8\u610f\u7684\u7cbe\u786e\u542b\u4e49："\u65e0\u6cd5\u5e7b\u89c9"\u6307\u65e0\u6cd5\u8fd4\u56de\u683c\u5f0f\u9519\u8bef\u6216 schema \u5916\u7684\u7b54\u6848，\u4f46\u4ecd\u7136\u53ef\u80fd\u5728 schema \u5185\u9009\u9519\u2014\u2014\u4e00\u4e2a\u683c\u5f0f\u826f\u597d\u7684\u9519\u8bef\u7b54\u6848\u4f9d\u7136\u662f\u9519\u7684\u3002\u53ea\u4e0d\u8fc7\u6b64\u65f6\u4f60\u6709\u6821\u51c6\u6982\u7387\u544a\u8bc9\u4f60\u5b83\u6709\u591a\u786e\u5b9a\u3002<\/li>\n<\/ul>\n
                                \n

                                13. \u6f14\u793a\u6848\u4f8b<\/h3>\n

                                13.1 \u5b9e\u65f6\u73a9 Doom<\/h4>\n

                                \u7528 Jev \u73a9 Doom：\u6e38\u620f\u72b6\u6001\u4ee5\u7ed3\u6784\u5316\u6570\u636e（\u6587\u672c\u5f62\u5f0f，\u975e\u56fe\u50cf）\u5582\u7ed9\u6a21\u578b，\u6bcf\u79d2\u7ea6 10 \u6b21\u67e5\u8be2（\u6210\u672c\u7ea6 $7\/\u5c0f\u65f6）\u3002\u5b98\u65b9\u627f\u8ba4\u975e AI \u7684 Doom bot \u53ef\u4ee5\u73a9\u5f97\u66f4\u597d，\u4f46\u91cd\u70b9\u5728\u4e8e\u5c55\u793a\u5b9e\u65f6\u667a\u80fd + \u5bf9\u4e0d\u540c\u72b6\u6001\u8868\u793a\u7684\u54cd\u5e94\u80fd\u529b + \u6307\u4ee4\u9075\u5faa\u3002\u5b98\u65b9\u8ba1\u5212\u53d1\u5e03\u6df1\u5ea6\u6559\u7a0b\u5e76\u4e3e\u529e\u9ed1\u5ba2\u677e\u3002<\/p>\n

                                13.2 Wikiracing（\u7ef4\u57fa\u7ade\u901f）<\/h4>\n

                                \u4ece\u4e00\u4e2a\u7ef4\u57fa\u767e\u79d1\u9875\u9762\u51fa\u53d1\u3001\u53ea\u6cbf\u94fe\u63a5\u8df3\u5230\u76ee\u6807\u9875\u9762，\u6bcf\u6b65\u8981\u5728\u6210\u767e\u4e0a\u5343\u4e2a\u94fe\u63a5\u4e2d\u9009\u62e9\u3002\u8fd9\u4e2a\u4efb\u52a1\u540c\u65f6\u5c55\u793a：<\/p>\n

                                  \n
                                • \u6bcf\u79d2\u667a\u80fd（intelligence-per-second）；<\/li>\n
                                • \u9ad8\u57fa\u6570\u9009\u62e9\u4e0b\u4e0d\u5e7b\u89c9\u7684\u590d\u5229\u4f18\u52bf（\u6bcf\u6b65\u90fd\u9009\u5bf9\u94fe\u63a5，\u9519\u8bef\u4f1a\u6307\u6570\u7ea7\u653e\u5927）\u3002<\/li>\n<\/ul>\n

                                  \u5b98\u65b9\u8bf4\u660e：\u8be5\u5bf9\u6bd4\u4e2d LLM \u8dd1\u7684\u662f\u975e\u63a8\u7406\u6a21\u5f0f（\u4e3a\u4e86\u6f14\u793a\u53ef\u89c2\u6027），\u6240\u4ee5 LLM \u663e\u5f97\u6bd4\u5f00\u63a8\u7406\u65f6\u5dee；Jev \u5b8c\u6210\u7684\u6b65\u6570\u66f4\u5c11（\u667a\u80fd\u66f4\u9ad8\u7684\u4fe1\u53f7）\u3002\u8d85\u8fc7 255 \u4e2a\u9009\u9879\u65f6，Jev \u7528"\u5148\u72ec\u7acb\u6253\u5206\u3001\u518d\u663e\u5f0f\u9009\u62e9"\u7684\u4e24\u9636\u6bb5\u65b9\u6848\u3002<\/p>\n

                                  \n

                                  14. \u5178\u578b\u5e94\u7528\u573a\u666f<\/h3>\n\n\u573a\u666f\u8bf4\u660e<\/tr>\n\n\n\n\n\n\n\n
                                  AI \u5de5\u4f5c\u6d41 \/ \u667a\u80fd if \u8bed\u53e5<\/td>\n\u5728\u624b\u5199\u89c4\u5219\u592a\u8106\u5f31\u7684\u5730\u65b9\u505a\u5206\u7c7b\u3001\u8def\u7531\u3001\u6253\u5206\u3001\u62bd\u53d6\u3001\u5206\u652f；\u5468\u56f4\u4ee3\u7801\u7ea6\u675f\u5176\u81ea\u7531\u5ea6，\u4f7f\u5176\u53ef\u7ec4\u5408\u6210\u53ef\u9760\u7cfb\u7edf<\/td>\n<\/tr>\n
                                  \u5927\u6570\u636e Map-Reduce<\/td>\n\u628a PB \u7ea7\u6570\u636e\u53d8\u6210\u7279\u5f81\u548c\u6d1e\u5bdf（\u8f93\u5165\u4fbf\u5b9c\u3001\u8f93\u51fa\u514d\u8d39\u3001\u53ef\u5927\u89c4\u6a21\u5e76\u884c）<\/td>\n<\/tr>\n
                                  \u5b9e\u65f6\u5e94\u7528<\/td>\n100ms \u7ea7\u5ef6\u8fdf\u4f7f AI \u53ef\u7528\u4e8e UX \u5173\u952e\u7684\u4ea4\u4e92\u573a\u666f<\/td>\n<\/tr>\n
                                  Verify Everything<\/td>\n\u7ed9\u5176\u4ed6 LLM \u7684 prompt \/ \u63a8\u7406\u8f68\u8ff9 \/ \u8f93\u51fa\u505a\u6253\u5206\u3001\u88c1\u5224\u3001\u6821\u9a8c\u3001\u62a4\u680f\u3001\u8d8a\u72f1\u68c0\u6d4b<\/td>\n<\/tr>\n
                                  \u9000\u6b3e\u5ba1\u6279\u7c7b\u51b3\u7b56<\/td>\nstate = \u5ba2\u6237\u6d88\u606f + \u4ea4\u6613\u8bb0\u5f55 + \u9000\u6b3e\u653f\u7b56；\u5e76\u884c\u95ee"\u662f\u5426\u8bf7\u6c42\u9000\u6b3e\/\u662f\u5426\u91cd\u590d\u6263\u6b3e\/\u653f\u7b56\u662f\u5426\u652f\u6301"，\u4ee3\u7801\u5408\u6210\u51b3\u7b56<\/td>\n<\/tr>\n
                                  \u4e0b\u6e38\u6a21\u578b\u84b8\u998f<\/td>\n\u5b98\u65b9 cookbook \u6f14\u793a\u7528 Jev \u7684\u6982\u7387\u8bad\u7ec3\u4e0b\u6e38\u7ecf\u5178\u6a21\u578b（AutoResearch \u7279\u5f81\u53d1\u73b0）<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

                                  \u53cd\u8fc7\u6765\u8bf4，Jev \u4e0d\u9002\u5408：\u5199\u6563\u6587\u3001\u804a\u5929\u3001\u5199\u4ee3\u7801\u3001\u751f\u6210\u5de5\u5177\u8c03\u7528\u5b57\u7b26\u4e32\u3001\u4efb\u4f55\u9700\u8981\u81ea\u7531\u6587\u672c\u8f93\u51fa\u7684\u573a\u666f\u2014\u2014\u5b83\u6839\u672c\u4e0d\u662f\u4e3a\u6b64\u8bbe\u8ba1\u7684\u3002<\/p>\n

                                  \n

                                  15. \u5c40\u9650\u6027\u4e0e\u6ce8\u610f\u4e8b\u9879<\/h3>\n
                                • \u95ed\u6e90\u6258\u7ba1 API：\u6743\u91cd\u4e0d\u516c\u5f00\u3001\u4e0d\u80fd\u81ea\u6258\u7ba1，\u6570\u636e\u8981\u53d1\u5230 TypeSafe \u7684\u670d\u52a1\u5668（\u7f8e\u56fd\u897f\u5cb8）；\u4f01\u4e1a\u5ba2\u6237\u6709 ZDR \u9009\u9879\u3002<\/li>\n
                                • \u4ec5\u6587\u672c\u8f93\u5165：\u56fe\u50cf\/\u97f3\u9891\/\u89c6\u9891\u9700\u8981\u5148\u9884\u5904\u7406\u6210\u6587\u672c\u6216\u7ed3\u6784\u5316\u5b57\u6bb5\u3002<\/li>\n
                                • \u82f1\u8bed\u4f18\u5148：\u5176\u4ed6\u8bed\u8a00（\u542b\u4e2d\u6587）\u53ef\u7528\u4f46\u51c6\u786e\u7387\u4e0d\u5728\u540c\u4e00\u6c34\u5e73，\u4e0a\u7ebf\u524d\u9700\u81ea\u884c\u5b9e\u6d4b\u5e76\u5584\u7528 confidence \u8def\u7531\u3002<\/li>\n
                                • \u4e0d\u80fd\u751f\u6210\u6587\u672c：\u5b83\u662f\u8f6f\u4ef6\u91cc\u7684\u51b3\u7b56\u51fd\u6570，\u4e0d\u662f LLM \u66ff\u4ee3\u54c1；\u9700\u8981\u63a8\u7406\u7684\u4efb\u52a1\u5e94\u62c6\u6210\u539f\u5b50\u95ee\u9898 + \u4ee3\u7801\u7ec4\u5408，\u5fc5\u8981\u65f6\u628a\u4f4e\u7f6e\u4fe1\u5ea6 case \u5347\u7ea7\u7ed9\u63a8\u7406\u6a21\u578b\u6216\u4eba\u5de5\u3002<\/li>\n
                                • \u201c\u4e0d\u4f1a\u9519"\u2260"\u603b\u662f\u5bf9\u201d：\u7c7b\u578b\u5b89\u5168\u4fdd\u8bc1\u7684\u662f\u8f93\u51fa\u683c\u5f0f，\u4e0d\u4fdd\u8bc1\u5185\u5bb9\u6b63\u786e；\u6821\u51c6\u662f\u5bf9\u6210\u7ec4\u9884\u6d4b\u7684\u7edf\u8ba1\u6027\u8d28\u3002<\/li>\n
                                • \u5b98\u65b9\u8bc4\u6d4b\u975e\u72ec\u7acb\u5ba1\u8ba1：\u901f\u5ea6\/\u6210\u672c\u500d\u6570\u6765\u81ea\u5382\u5546\u81ea\u5df1\u7684\u5de5\u4f5c\u6d41\u8bc4\u6d4b，\u4e14\u5b98\u65b9\u627f\u8ba4\u5904\u4e8e\u6536\u76ca\u4f30\u8ba1\u7684\u504f\u9ad8\u7aef\u3002<\/li>\n
                                • \u7248\u672c\u6f02\u79fb：\u522b\u540d\u4f1a\u79fb\u52a8，\u8c03\u597d\u9608\u503c\u540e\u5e94 pin \u7248\u672c\u53f7\u3002<\/li>\n
                                • \u901f\u7387\u9650\u5236\u52a8\u6001\u8c03\u6574：early access \u671f\u95f4 250k tokens\/s\u30011200 req\/min \u7684\u9650\u989d\u53ef\u80fd\u968f\u65f6\u53d8\u5316\u3002<\/li>\n
                                • \u9009\u62e9\u57fa\u6570\u4e0a\u9650 255：\u8d85\u8fc7\u9700\u4e24\u9636\u6bb5\u65b9\u6848\u3002<\/li>\n
                                  \n

                                  16. \u5f00\u6e90\u60c5\u51b5\u4e0e\u793e\u533a\u751f\u6001<\/h3>\n
                                    \n
                                  • Jev \u672c\u8eab\u5b8c\u5168\u95ed\u6e90：\u65e0\u6743\u91cd\u3001\u65e0\u81ea\u6258\u7ba1\u8def\u5f84\u3001\u65e0\u672c\u5730\u90e8\u7f72\u3002\u5b98\u65b9\u4e5f\u4ece\u672a\u627f\u8bfa\u4f1a\u5f00\u6e90\u3002<\/li>\n
                                  • \u5b98\u65b9\u552f\u4e00\u5f00\u6e90\u7269：system-one-adapter-python（GitHub: typesafe-ai\/system-one-adapter-python）\u2014\u2014\u4e00\u4e2a TypeSafeClient \u7684"drop-in \u66ff\u6362"，\u5e95\u5c42\u8c03\u7528 OpenAI\/Anthropic \u7b49 LLM API，\u628a\u666e\u901a LLM \u5305\u88c5\u6210\u7b26\u5408 System One API \u7684\u7ed3\u6784\u5316\u51b3\u7b56\u8f93\u51fa\u3002\u7528\u9014\u662f\u8ba9\u5f00\u53d1\u8005\u81ea\u884c\u5bf9\u6bd4 Jev \u4e0e LLM \u5728\u6210\u672c\/\u901f\u5ea6\/\u667a\u80fd\u4e0a\u7684\u5dee\u5f02\u3002\u652f\u6301 structured outputs \u6a21\u5f0f\u3001\u6982\u7387\/\u79bb\u6563\u4e24\u79cd\u56de\u7b54\u6a21\u5f0f\u3001\u6982\u7387\u5f52\u4e00\u5316\u3001\u7578\u5f62\u8f93\u51fa\u7ea0\u6b63\u91cd\u8bd5\u3001\u5b8c\u6574 attempt \u8c03\u8bd5\u8bb0\u5f55\u7b49\u3002<\/li>\n
                                  • \u793e\u533a\u590d\u73b0：Hugging Face \/ GitHub \u4e0a\u51fa\u73b0\u4e86 OpenJev\u3001jevlike \u7b49\u72ec\u7acb\u9879\u76ee，\u590d\u523b"\u5355\u6b21\u524d\u5411\u4f20\u64ad\u5bf9 N \u4e2a\u9009\u9879\u5404\u51fa\u4e00\u4e2a\u6982\u7387"\u7684\u63a5\u53e3\u5f62\u6001（\u4f8b\u5982\u7528\u51bb\u7ed3\u7684 Qwen2.5-0.5B \u7f16\u7801\u5668 + \u53ef\u8bad\u7ec3\u7684 option-attention \u6253\u5206\u7c7b\u5934，\u5728 8 \u9009\u9879\u4efb\u52a1\u4e0a\u6bd4\u5c0f\u578b\u81ea\u56de\u5f52\u89e3\u7801\u5668\u5feb\u7ea6 100 \u500d）\u3002\u8fd9\u4e9b\u662f\u72ec\u7acb\u5b9e\u73b0，\u4e0e TypeSafe \u65e0\u5173，\u6ca1\u6709 RLCD \u6821\u51c6\u8bad\u7ec3\u548c\u5e76\u884c\u91c7\u6837\u5668，\u8d28\u91cf\u4e5f\u8fdc\u4e0d\u53ca Jev\u3002<\/li>\n
                                  • \u672c\u5730\u5316"\u5e73\u66ff"\u601d\u8def：\u7528 llama.cpp \/ Ollama + \u5c0f\u6a21\u578b + \u8bed\u6cd5\u7ea6\u675f\u89e3\u7801（grammar-constrained decoding）\u4e5f\u80fd\u5b9e\u73b0"schema \u5185\u4e0d\u53ef\u80fd\u5e7b\u89c9"\u7684\u6548\u679c（\u8be5\u80fd\u529b 2023 \u5e74\u8d77\u672c\u5730\u8fd0\u884c\u65f6\u5c31\u6709）；Jev \u771f\u6b63\u989d\u5916\u5356\u7684\u662f RLCD \u6821\u51c6\u7684\u6982\u7387\u548c\u771f\u00b7\u5e76\u884c\u591a\u95ee\u9898\u3002<\/li>\n<\/ul>\n
                                    \n

                                    17. \u4e0e\u4f20\u7edf LLM \u7684\u5168\u65b9\u4f4d\u5bf9\u6bd4<\/h3>\n\n\u7ef4\u5ea6\u73b0\u6709 LLMJev（System One）<\/tr>\n\n\n\n\n\n\n\n\n\n\n\n
                                    \u540e\u8bad\u7ec3<\/td>\nRLHF \/ RLVR<\/td>\nRLCD<\/td>\n<\/tr>\n
                                    \u4f18\u5316\u76ee\u6807<\/td>\n\u4eba\u7c7b\u504f\u597d \/ \u53ef\u9a8c\u8bc1\u5956\u52b1<\/td>\n\u6821\u51c6\u51b3\u7b56（\u8ba4\u77e5\u8bda\u5b9e\u7684\u6982\u7387）<\/td>\n<\/tr>\n
                                    \u8f93\u5165<\/td>\n\u975e\u7ed3\u6784\u5316\u6570\u636e，\u4fa7\u91cd\u987a\u5e8f\u6d88\u606f<\/td>\n\u975e\u7ed3\u6784\u5316\u6570\u636e，\u4fa7\u91cd\u7ed3\u6784\u5316\u7a0b\u5e8f\u72b6\u6001<\/td>\n<\/tr>\n
                                    \u8f93\u51fa<\/td>\n\u5b57\u7b26\u4e32（\u9700\u89e3\u6790+\u6821\u9a8c，\u53ef\u80fd\u8131\u8f68）<\/td>\n\u7c7b\u578b\u5b89\u5168\u7ed3\u6784\u5316\u503c（\u9884\u5b9a\u4e49\u7b54\u6848\u7a7a\u95f4，\u65e0\u7c7b\u578b\u9519\u8bef）<\/td>\n<\/tr>\n
                                    \u91c7\u6837<\/td>\n\u9010 token \u987a\u5e8f\u751f\u6210<\/td>\n\u5355\u6b21\u67e5\u8be2\u5e76\u884c\u4ea7\u51fa\u5168\u90e8\u8f93\u51fa<\/td>\n<\/tr>\n
                                    \u8f93\u5165\u4ef7\u683c<\/td>\n$0.20\u2013$10 \/ \u767e\u4e07 tokens<\/td>\n$0.042 \/ \u767e\u4e07 tokens<\/td>\n<\/tr>\n
                                    \u8f93\u51fa\u4ef7\u683c<\/td>\n\u7ea6\u4e3a\u8f93\u5165\u7684 5 \u500d<\/td>\n\u514d\u8d39（\u4fbf\u5b9c\u5230\u4e0d\u503c\u5f97\u8ba1\u91cf）<\/td>\n<\/tr>\n
                                    \u7aef\u5230\u7aef\u5ef6\u8fdf<\/td>\n3\u2013329 \u79d2<\/td>\n70\u2013500ms（\u540c\u667a\u80fd\u6c34\u5e73\u5feb 40\u2013200 \u500d）<\/td>\n<\/tr>\n
                                    \u7f6e\u4fe1\u5ea6<\/td>\n\u903c\u51fa\u6765\u7684\u3001\u8fc7\u5ea6\u81ea\u4fe1\u3001\u4e0d\u4e00\u81f4<\/td>\n\u6bcf\u4e2a\u8f93\u51fa\u81ea\u5e26，\u6821\u51c6\u3001\u4e00\u81f4<\/td>\n<\/tr>\n
                                    \u9002\u5408<\/td>\n\u4eba\u5728\u56de\u8def（chatbot\/copilot\/\u7f16\u7a0b agent）\u3001\u53ef\u9a8c\u8bc1\u95ee\u9898（\u6570\u5b66\u8bc1\u660e\/\u5185\u6838\u4f18\u5316）\u3001\u5feb\u901f\u539f\u578b demo<\/td>\n\u751f\u4ea7\u4ee3\u7801\u4e2d\u7684\u667a\u80fd\u5206\u652f\u3001\u5927\u89c4\u6a21 map-reduce\u3001\u5b9e\u65f6\u5e94\u7528\u3001LLM \u8f93\u51fa\u6821\u9a8c<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
                                    \n

                                    18. \u547d\u540d\u7531\u6765\u4e0e\u613f\u666f<\/h3>\n
                                      \n
                                    • System One：\u81f4\u656c\u5361\u5c3c\u66fc\u300a\u601d\u8003，\u5feb\u4e0e\u6162\u300b\u2014\u2014\u5feb\u901f\u76f4\u89c9\u7684"\u7cfb\u7edf\u4e00"\u601d\u7ef4\u3002\u5b98\u65b9\u8ba4\u4e3a System One \u6a21\u578b\u53ef\u4ee5\u6bd4\u66ff\u4ee3\u65b9\u6848\u66f4\u53ef\u9760\u3002<\/li>\n
                                    • Jev：\u81f4\u656c\u7ecf\u6d4e\u5b66\u5bb6 William Stanley Jevons（\u6770\u6587\u65af\u6096\u8bba：\u84b8\u6c7d\u673a\u6548\u7387\u63d0\u5347\u53cd\u800c\u589e\u52a0\u4e86\u7164\u70ad\u603b\u9700\u6c42）\u3002TypeSafe \u9884\u671f\u673a\u5668\u667a\u80fd\u4f1a\u8d70\u540c\u6837\u7684\u8def\u2014\u2014\u667a\u80fd\u6210\u672c\u6bcf\u4e0b\u964d\u4e00\u4e2a\u6570\u91cf\u7ea7，\u5c31\u4f1a\u89e3\u9501\u6570\u91cf\u7ea7\u66f4\u591a\u7684\u5e94\u7528\u573a\u666f\u3002<\/li>\n
                                    • \u521b\u59cb\u613f\u666f：\u201cAI \u9700\u8981\u4e00\u4e2a\u8f6f\u4ef6\u53ef\u4ee5\u4f9d\u8d56\u7684\u63a5\u53e3\u201d\u2014\u2014\u8ba9\u65b0\u7528\u4f8b\u5728\u793e\u533a\u548c\u7ecf\u6d4e\u4e2d\u6301\u7eed\u6269\u6563（continuously diffuse）\u3002<\/li>\n<\/ul>\n
                                      \n

                                      19. \u53c2\u8003\u8d44\u6599<\/h3>\n\n\u8d44\u6599\u94fe\u63a5<\/tr>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
                                      \u5b98\u65b9\u53d1\u5e03\u535a\u5ba2：Introducing System One Models & Jev<\/td>\nhttps:\/\/typesafe.ai\/blog\/introducing-system-one-models-and-jev<\/td>\n<\/tr>\n
                                      \u5b98\u65b9\u6587\u6863<\/td>\nhttps:\/\/docs.typesafe.ai\/<\/td>\n<\/tr>\n
                                      System One \u6982\u5ff5\u9875<\/td>\nhttps:\/\/docs.typesafe.ai\/concepts\/system-one<\/td>\n<\/tr>\n
                                      AI Primer（RLCD \/ \u6821\u51c6 \/ RLHF \u6279\u5224）<\/td>\nhttps:\/\/docs.typesafe.ai\/introduction\/machine-learning-primer<\/td>\n<\/tr>\n
                                      Primitives（Choice\/Score\/Noul）<\/td>\nhttps:\/\/docs.typesafe.ai\/primitives<\/td>\n<\/tr>\n
                                      Confidence \u7f6e\u4fe1\u5ea6<\/td>\nhttps:\/\/docs.typesafe.ai\/confidence<\/td>\n<\/tr>\n
                                      Models（\u89c4\u683c\/\u4ef7\u683c\/\u9650\u989d）<\/td>\nhttps:\/\/docs.typesafe.ai\/models<\/td>\n<\/tr>\n
                                      Quickstart<\/td>\nhttps:\/\/docs.typesafe.ai\/introduction\/quickstart<\/td>\n<\/tr>\n
                                      Workflow Evals \u8bc4\u6d4b\u7ad9<\/td>\nhttps:\/\/evals.typesafe.ai\/<\/td>\n<\/tr>\n
                                      System One Adapter（\u5b98\u65b9\u5f00\u6e90 LLM \u9002\u914d\u5668）<\/td>\nhttps:\/\/github.com\/typesafe-ai\/system-one-adapter-python<\/td>\n<\/tr>\n
                                      Playground \/ API Keys<\/td>\nhttps:\/\/console.typesafe.ai\/playground<\/td>\n<\/tr>\n
                                      TypeSafe Manifesto<\/td>\nhttps:\/\/typesafe.ai\/manifesto<\/td>\n<\/tr>\n
                                      \u793e\u533a\u590d\u73b0 jevlike<\/td>\nhttps:\/\/github.com\/vinnylarouge（jevlike \u9879\u76ee）<\/td>\n<\/tr>\n
                                      \u7b2c\u4e09\u65b9\u5206\u6790：Can You Run TypeSafe\u2019s Model Locally?<\/td>\nhttps:\/\/www.modemguides.com\/blogs\/ai-news\/jev-typesafe-reality-check-run-locally<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

                                      \u5b98\u65b9\u535a\u6587\u5728\u8fd9\u91cc，\u611f\u5174\u8da3\u7684\u8bdd\u53ef\u4ee5\u81ea\u884c\u79fb\u6b65\u9605\u8bfb\u3002
                                      \n\u76ee\u5f55
                                      \n\u4e00\u53e5\u8bdd\u6982\u8ff0\u80cc\u666f：\u4e3a\u4ec0\u4e48\u9700\u8981 Jev\u516c\u53f8\u4e0e\u56e2\u961f\u6838\u5fc3\u601d\u60f3：\u4ece\\”\u804a\u5929\u667a\u80fd\\”\u5230\\”\u673a\u5668\u539f\u751f\u667a\u80fd\\”\u4ec0\u4e48\u662f System One \u6a21\u578bJev \u6a21\u578b\u89c4\u683c\u4e00\u89c8\u4e09\u79cd AI \u539f\u8bed（Primitives）\u8bad\u7ec3\u65b9\u6cd5：RLCD \u4e0e\u6821\u51c6\u51b3\u7b56\u7f6e\u4fe1\u5ea6（Confidence）\u4f53\u7cfbAPI \u4e0e SDK \u4f7f\u7528\u65b9\u5f0f\u5b98\u65b9\u8bc4\u6d4b：Workflow<\/p>\n","protected":false},"author":2,"featured_media":107878,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[12293,12294,74,75],"topic":[],"class_list":["post-107879","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-jev","tag-12294","tag-agent","tag-llm"],"yoast_head":"\nJev \u8be6\u7ec6\u4ecb\u7ecd\uff1aTypeSafe AI \u7684\u7b2c\u4e00\u4e2a System One \u6a21\u578b - 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