{"id":15077,"date":"2024-06-20T17:41:07","date_gmt":"2024-06-20T09:41:07","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=15077"},"modified":"2024-12-09T17:46:06","modified_gmt":"2024-12-09T09:46:06","slug":"dify-v069jiangziding","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/de\/dify-v069jiangziding\/","title":{"rendered":"Dify v0.6.9\u5c06\u81ea\u5b9a\u4e49\u5de5\u4f5c\u6d41\u4f5c\u4e3a\u5de5\u5177"},"content":{"rendered":"

\u53ef\u4ee5\u5728 Dify<\/a> v0.6.9\u4e2d\u53d1\u5e03\u4eba\u5de5\u667a\u80fd\u5de5\u4f5c\u6d41\u7a0b\u4f5c\u4e3a\u53ef\u590d\u7528\u7684\u5de5\u5177\uff08\u5728Agent\u6216Workflow\u4e2d\u4f7f\u7528\uff09\u3002\u8fd9\u4f7f\u5f97\u5b83\u53ef\u4ee5\u4e0e\u65b0\u7684agents\u548c\u5176\u5b83workflows\u96c6\u6210\uff0c\u4ece\u800c\u6d88\u9664\u91cd\u590d\u7684\u5de5\u4f5c\u3002\u65b0\u589e\u4e86\u4e24\u4e2a\u5de5\u4f5c\u6d41\u8282\u70b9\u548c\u4e00\u4e2a\u6539\u8fdb\u7684\u8282\u70b9\uff1a<\/p>\n

\u8fed\u4ee3\uff1a<\/strong>\u786e\u4fdd\u8f93\u5165\u4e3a\u6570\u7ec4\u3002\u8fed\u4ee3\u8282\u70b9\u5c06\u4f9d\u6b21\u5904\u7406\u6570\u7ec4\u4e2d\u7684\u6bcf\u4e2a\u9879\u76ee\uff0c\u76f4\u5230\u6240\u6709\u9879\u76ee\u90fd\u88ab\u5904\u7406\u3002\u4f8b\u5982\uff0c\u5982\u679c\u4f60\u9700\u8981\u4e00\u7bc7\u957f\u6587\u7ae0\uff0c\u53ea\u9700\u8f93\u5165\u51e0\u4e2a\u6807\u9898\u3002\u8fd9\u5c06\u751f\u6210\u4e00\u7bc7\u5305\u542b\u6bcf\u4e2a\u6807\u9898\u6bb5\u843d\u7684\u6587\u7ae0\uff0c\u514d\u53bb\u4e86\u590d\u6742\u7684\u63d0\u793a\u7f16\u6392\u7684\u9700\u6c42\u3002<\/p>\n

\u53c2\u6570\u63d0\u53d6\u5668\uff1a<\/strong>\u4f7f\u7528\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u4ece\u81ea\u7136\u8bed\u8a00\u4e2d\u63d0\u53d6\u7ed3\u6784\u5316\u53c2\u6570\uff0c\u7b80\u5316\u4e86\u5728\u5de5\u4f5c\u6d41\u4e2d\u4f7f\u7528\u5de5\u5177\u548c\u8fdb\u884cHTTP\u8bf7\u6c42\u7684\u8fc7\u7a0b\u3002<\/p>\n

\u53d8\u91cf\u805a\u5408\u5668\uff1a<\/strong>\u6539\u8fdb\u7684\u53d8\u91cf\u8d4b\u503c\u5668\u652f\u6301\u66f4\u7075\u6d3b\u7684\u53d8\u91cf\u9009\u62e9\u3002\u540c\u65f6\uff0c\u901a\u8fc7\u6539\u8fdb\u8282\u70b9\u8fde\u63a5\u65b9\u5f0f\uff0c\u589e\u5f3a\u4e86\u7528\u6237\u4f53\u9a8c\u3002<\/p>\n

Dify\u4e2d\u7684\u5de5\u4f5c\u6d41\u5206\u4e3aChatflow \u548c Workflow<\/a> \u4e24\u79cd\uff1aChatflow<\/strong>\u9762\u5411\u5bf9\u8bdd\u7c7b\u60c5\u666f\uff0c\u5305\u62ec\u5ba2\u6237\u670d\u52a1\u3001\u8bed\u4e49\u641c\u7d22\u3001\u53ca\u5728\u6784\u5efa\u54cd\u5e94\u65f6\u8fdb\u884c\u591a\u6b65\u903b\u8f91\u7684\u5bf9\u8bdd\u5f0f\u5e94\u7528\u7a0b\u5e8f\u3002Workflow<\/strong>\uff1a\u9762\u5411\u81ea\u52a8\u5316\u548c\u6279\u5904\u7406\u60c5\u666f\uff0c\u9002\u5408\u9ad8\u8d28\u91cf\u7ffb\u8bd1\u3001\u6570\u636e\u5206\u6790\u3001\u5185\u5bb9\u751f\u6210\u3001\u7535\u5b50\u90ae\u4ef6\u81ea\u52a8\u5316\u7b49\u5e94\u7528\u7a0b\u5e8f\u3002<\/p>\n

\"-1\"<\/p>\n

Chatflow\u4f7f\u7528\u5165\u53e3<\/p>\n

\"-2\"<\/p>\n

Workflow\u4f7f\u7528\u5165\u53e3<\/p>\n

\u4e00.\u4e09\u6b65\u7ffb\u8bd1\u5de5\u4f5c\u6d41<\/h2>\n
1.\u5f00\u59cb\u8282\u70b9<\/h6>\n

\"-3\"<\/p>\n

\u5728\u300c\u5f00\u59cb\u300d\u8282\u70b9\u5185\u5b9a\u4e49\u8f93\u5165\u53d8\u91cf\u652f\u6301\u56db\u79cd\u7c7b\u578b\uff1a\u6587\u672c\u3001\u6bb5\u843d\u3001\u4e0b\u62c9\u9009\u9879\u548c\u6570\u5b57\u3002\u5982\u4e0b\u6240\u793a\uff1a<\/p>\n

\"-4\"<\/p>\n

\u5728 Chatflow \u4e2d\uff0c\u5f00\u59cb\u8282\u70b9\u4f1a\u63d0\u4f9b\u7cfb\u7edf\u5185\u7f6e\u53d8\u91cf\uff1asys.query \u548c sys.files\uff0csys.query \u7528\u4e8e\u5bf9\u8bdd\u578b\u5e94\u7528\u4e2d\u7684\u7528\u6237\u95ee\u9898\u8f93\u5165\uff0csys.files \u7528\u4e8e\u5bf9\u8bdd\u4e2d\u4e0a\u4f20\u6587\u4ef6\uff0c\u5982\u4e0a\u4f20\u4e00\u5f20\u56fe\u7247\u7528\u4e8e\u7406\u89e3\u542b\u4e49\uff0c\u9700\u8981\u914d\u5408\u56fe\u50cf\u7406\u89e3\u6a21\u578b\u6216\u8005\u56fe\u7247\u8f93\u5165\u7684\u5de5\u5177\u6765\u4f7f\u7528\u3002<\/p>\n

2.LLM\uff08\u8bc6\u522b\u4e13\u6709\u540d\u8bcd\uff09\u8282\u70b9<\/h6>\n

\"-5\"<\/p>\n

SYSTEM\u4e3a\u5bf9\u8bdd\u63d0\u4f9b\u9ad8\u5c42\u6307\u5bfc\uff0c\u5982\u4e0b\u6240\u793a\uff1a<\/p>\n

<\u4efb\u52a1> \u8bc6\u522b\u7528\u6237\u8f93\u5165\u7684\u6280\u672f\u672f\u8bed\u3002\u8bf7\u7528{XXX} -> {XXX}\u7684\u683c\u5f0f\u5c55\u793a\u7ffb\u8bd1\u524d\u540e\u7684\u6280\u672f\u672f\u8bed\u5bf9\u5e94\u5173\u7cfb\u3002\r\n<\u8f93\u5165\u6587\u672c>\r\n{{#1711067409646.input_text#}}\r\n<\u793a\u4f8b>\r\nTransformer<\/a> -> Transformer\r\nToken<\/a> -> Token\r\n\u96f6\u6837\u672c -> Zero Shot\r\n\u5c11\u6837\u672c -> Few Shot\r\n<\u4e13\u6709\u540d\u8bcd>\r\n<\/code><\/pre>\n
\u5728 LLM \u8282\u70b9\u5185\uff0c\u53ef\u81ea\u5b9a\u4e49\u6a21\u578b\u8f93\u5165\u63d0\u793a\u8bcd\u3002\u5982\u679c\u9009\u62e9\u804a\u5929\u6a21\u578b\uff08Chat model\uff09\uff0c\u53ef\u81ea\u5b9a\u4e49\u7cfb\u7edf\u63d0\u793a\u8bcd\uff08SYSTEM\uff09\/\u7528\u6237\uff08USER\uff09\/\u52a9\u624b\uff08ASSISTANT\uff09\u4e09\u90e8\u5206\u5185\u5bb9\u3002\u5982\u4e0b\u6240\u793a\uff1a<\/p>\n
\"-6\"<\/p>\n\n\n\n\n\n\n\n
\u5e8f\u53f7<\/strong><\/th>\n<\/th>\n\u89e3\u91ca<\/strong><\/th>\n\u5907\u6ce8<\/th>\n<\/tr>\n<\/thead>\n
1<\/td>\nSYSTEM\uff08\u63d0\u793a\u8bcd\uff09<\/td>\n\u4e3a\u5bf9\u8bdd\u63d0\u4f9b\u9ad8\u5c42\u6307\u5bfc<\/td>\n\u63d0\u793a\u8bcd<\/td>\n<\/tr>\n
2<\/td>\nUSER\uff08\u7528\u6237\uff09<\/td>\n\u5411\u6a21\u578b\u63d0\u4f9b\u6307\u4ee4\u3001\u67e5\u8be2\u6216\u4efb\u4f55\u57fa\u4e8e\u6587\u672c\u7684\u8f93\u5165<\/td>\n\u7528\u6237\u95ee\u9898<\/td>\n<\/tr>\n
3<\/td>\nASSISTANT\uff08\u52a9\u624b\uff09<\/td>\n\u57fa\u4e8e\u7528\u6237\u6d88\u606f\u7684\u6a21\u578b\u56de\u590d<\/td>\n\u52a9\u624b\u7b54\u6848<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
3.LLM2\uff08\u76f4\u63a5\u7ffb\u8bd1\uff09\u8282\u70b9<\/h6>\n
\"-7\"<\/p>\n
SYSTEM\u4e3a\u5bf9\u8bdd\u63d0\u4f9b\u9ad8\u5c42\u6307\u5bfc\uff0c\u5982\u4e0b\u6240\u793a\uff1a<\/p>\n
<\u4efb\u52a1> \u60a8\u662f\u4e00\u540d\u7cbe\u901a\u82f1\u6587\u7684\u4e13\u4e1a\u8bd1\u8005\uff0c\u7279\u522b\u662f\u5728\u5c06\u4e13\u4e1a\u7684\u5b66\u672f\u8bba\u6587\u8f6c\u6362\u4e3a\u901a\u4fd7\u6613\u61c2\u7684\u79d1\u666e\u6587\u7ae0\u65b9\u9762\u6709\u7740\u975e\u51e1\u7684\u80fd\u529b\u3002\u8bf7\u534f\u52a9\u6211\u628a\u4e0b\u9762\u7684\u4e2d\u6587\u6bb5\u843d\u7ffb\u8bd1\u6210\u82f1\u6587\uff0c\u4f7f\u5176\u98ce\u683c\u4e0e\u82f1\u6587\u7684\u79d1\u666e\u6587\u7ae0\u76f8\u4f3c\u3002\r\n<\u9650\u5236> \r\n\u8bf7\u6839\u636e\u4e2d\u6587\u5185\u5bb9\u76f4\u63a5\u7ffb\u8bd1\uff0c\u7ef4\u6301\u539f\u6709\u7684\u683c\u5f0f\uff0c\u4e0d\u7701\u7565\u4efb\u4f55\u4fe1\u606f\u3002\r\n<\u7ffb\u8bd1\u524d> \r\n{{#1711067409646.input_text#}}\r\n<\u76f4\u63a5\u7ffb\u8bd1>\r\n<\/code><\/pre>\n
4.LLM3\uff08\u6307\u51fa\u76f4\u63a5\u7ffb\u8bd1\u7684\u95ee\u9898\uff09<\/h6>\n
\"-8\"<\/p>\n
SYSTEM\u4e3a\u5bf9\u8bdd\u63d0\u4f9b\u9ad8\u5c42\u6307\u5bfc\uff0c\u5982\u4e0b\u6240\u793a\uff1a<\/p>\n
<\u4efb\u52a1>\r\n\u6839\u636e\u76f4\u63a5\u7ffb\u8bd1\u7684\u7ed3\u679c\uff0c\u6307\u51fa\u5176\u5177\u4f53\u5b58\u5728\u7684\u95ee\u9898\u3002\u9700\u8981\u63d0\u4f9b\u7cbe\u786e\u63cf\u8ff0\uff0c\u907f\u514d\u542b\u7cca\u5176\u8f9e\uff0c\u5e76\u4e14\u65e0\u9700\u589e\u6dfb\u539f\u6587\u4e2d\u672a\u5305\u542b\u7684\u5185\u5bb9\u6216\u683c\u5f0f\u3002\u5177\u4f53\u5305\u62ec\u4f46\u4e0d\u9650\u4e8e\uff1a\r\n\u4e0d\u7b26\u5408\u82f1\u6587\u7684\u8868\u8fbe\u4e60\u60ef\uff0c\u8bf7\u660e\u786e\u6307\u51fa\u54ea\u91cc\u4e0d\u5408\u9002\u53e5\u5b50\u7ed3\u6784\u7b28\u62d9\uff0c\u8bf7\u6307\u51fa\u5177\u4f53\u4f4d\u7f6e\uff0c\u65e0\u9700\u63d0\u4f9b\u4fee\u6539\u5efa\u8bae\uff0c\u6211\u4eec\u5c06\u5728\u540e\u7eed\u7684\u81ea\u7531\u7ffb\u8bd1\u4e2d\u8fdb\u884c\u8c03\u6574\u8868\u8fbe\u542b\u7cca\u4e0d\u6e05\uff0c\u96be\u4ee5\u7406\u89e3\uff0c\u5982\u679c\u53ef\u80fd\uff0c\u53ef\u4ee5\u8bd5\u56fe\u8fdb\u884c\u89e3\u91ca\r\n<\u76f4\u63a5\u7ffb\u8bd1>\r\n{{#1711067578643.text#}}\r\n<\u539f\u6587>\r\n{{#1711067409646.input_text#}}\r\n<\u76f4\u63a5\u7ffb\u8bd1\u7684\u95ee\u9898>\r\n<\/code><\/pre>\n
5.LLM4\uff08\u610f\u8bd1 – \u7b2c\u4e8c\u6b21\u7ffb\u8bd1\uff09<\/h6>\n
\"-9\"<\/p>\n
SYSTEM\u4e3a\u5bf9\u8bdd\u63d0\u4f9b\u9ad8\u5c42\u6307\u5bfc\uff0c\u5982\u4e0b\u6240\u793a\uff1a<\/p>\n
<\u4efb\u52a1>\u57fa\u4e8e\u521d\u6b21\u76f4\u63a5\u7ffb\u8bd1\u7684\u6210\u679c\u53ca\u968f\u540e\u8bc6\u522b\u7684\u5404\u9879\u95ee\u9898\uff0c\u6211\u4eec\u5c06\u8fdb\u884c\u4e00\u6b21\u91cd\u65b0\u7ffb\u8bd1\uff0c\u65e8\u5728\u66f4\u51c6\u786e\u5730\u4f20\u8fbe\u539f\u6587\u7684\u610f\u4e49\u3002\u5728\u8fd9\u4e00\u8fc7\u7a0b\u4e2d\uff0c\u6211\u4eec\u5c06\u81f4\u529b\u4e8e\u786e\u4fdd\u5185\u5bb9\u65e2\u5fe0\u4e8e\u539f\u610f\uff0c\u53c8\u66f4\u52a0\u8d34\u8fd1\u82f1\u6587\u7684\u8868\u8fbe\u65b9\u5f0f\uff0c\u66f4\u5bb9\u6613\u88ab\u7406\u89e3\u3002\u5728\u6b64\u8fc7\u7a0b\u4e2d\uff0c\u6211\u4eec\u5c06\u4fdd\u6301\u539f\u6709\u683c\u5f0f\u4e0d\u53d8\u3002\r\n<\u76f4\u63a5\u7ffb\u8bd1> \r\n{{#1711067578643.text#}}\r\n<\u7b2c\u4e00\u6b21\u7ffb\u8bd1\u7684\u95ee\u9898>\r\n{{#1711067817657.text#}}\r\n<\u610f\u8bd1>\r\n<\/code><\/pre>\n
6.\u7ed3\u675f\u8282\u70b9<\/h6>\n
\"-10\"<\/p>\n
\u5b9a\u4e49\u8f93\u51fa\u53d8\u91cf\u540d\u5b57second_translation<\/code>\u3002<\/p>\n
7.\u5c06Workflow\u53d1\u5e03\u4e3a\u5de5\u5177<\/h6>\n
\u5c06Workflow\u53d1\u5e03\u4e3a\u5de5\u5177\uff0c\u624d\u80fd\u5728Agent\u4e2d\u4f7f\u7528\uff0c\u5982\u4e0b\u6240\u793a\uff1a<\/p>\n
\"-11\"<\/p>\n
\u70b9\u51fb\u8bbf\u95ee\u5de5\u5177\u9875\uff0c\u5982\u4e0b\u6240\u793a\uff1a<\/p>\n
\"-12\"<\/p>\n
8.Jinja\u6a21\u7248<\/h6>\n
\u5728\u5199Prompt\u65f6\u5019\uff0c\u53d1\u73b0\u652f\u6301Jinja\u6a21\u677f\u3002\u5177\u4f53\u53ef\u53c2\u8003[3][4]\u3002<\/p>\n
\u4e8c.\u5728Workflow\u4e2d\u4f7f\u7528Workflow<\/h2>\n
\"-13\"<\/p>\n
\u4e09.\u5728Agent\u4e2d\u4f7f\u7528Workflow<\/h2>\n
\u672c\u8d28\u4e0a\u628aWorkflow\u5f53\u6210\u5de5\u5177\uff0c\u4ece\u800c\u6269\u5c55Agent\u80fd\u529b\uff0c\u548c\u5176\u5b83\u5de5\u5177\u7c7b\u4f3c\uff0c\u6bd4\u5982\u4e92\u8054\u7f51\u641c\u7d22\u3001\u79d1\u5b66\u8ba1\u7b97\u7b49\u3002<\/p>\n
\"-14\"<\/p>\n
\"-15\"<\/p>\n
\u56db.\u5355\u72ec\u6d4b\u8bd5\u4e09\u6b65\u7ffb\u8bd1\u5de5\u4f5c\u6d41<\/h2>\n
\"-16\"<\/p>\n
\u8f93\u5165\u5185\u5bb9\u5982\u4e0b\u6240\u793a\uff1a<\/p>\n
Transformer\u662f\u5927\u8bed\u8a00\u6a21\u578b\u7684\u57fa\u7840\u3002\r\n<\/code><\/pre>\n
\u8f93\u51fa\u5185\u5bb9\u5982\u4e0b\u6240\u793a\uff1a<\/p>\n
The Transformer serves as the cornerstone for large-scale language models.\r\n<\/code><\/pre>\n
\u8be6\u60c5\u9875\u9762\u5982\u4e0b\u6240\u793a\uff1a<\/p>\n
\"-17\"<\/p>\n
\u8ffd\u8e2a\u9875\u9762\u5982\u4e0b\u6240\u793a\uff1a<\/p>\n
\"-18\"<\/p>\n
1.\u5f00\u59cb<\/h6>\n
\uff081\uff09\u8f93\u5165<\/p>\n
{\r\n\"input_text\": \"Transformer\u662f\u5927\u8bed\u8a00\u6a21\u578b\u7684\u57fa\u7840\u3002\",\r\n\"sys.files\": [],\r\n\"sys.user_id\": \"7d8864c3-c456-4588-9b0a-9368c94ca377\"\r\n}\r\n<\/code><\/pre>\n
\uff082\uff09\u8f93\u51fa<\/p>\n
{\r\n\"input_text\": \"Transformer\u662f\u5927\u8bed\u8a00\u6a21\u578b\u7684\u57fa\u7840\u3002\",\r\n\"sys.files\": [],\r\n\"sys.user_id\": \"7d8864c3-c456-4588-9b0a-9368c94ca377\"\r\n}\r\n<\/code><\/pre>\n
2.LLM<\/h6>\n
\uff081\uff09\u6570\u636e\u5904\u7406<\/p>\n
{\r\n\"model_mode\": \"chat\",\r\n\"prompts\": [\r\n{\r\n\"role\": \"system\",\r\n\"text\": \"<\u4efb\u52a1> \u8bc6\u522b\u7528\u6237\u8f93\u5165\u7684\u6280\u672f\u672f\u8bed\u3002\u8bf7\u7528{XXX} -> {XXX}\u7684\u683c\u5f0f\u5c55\u793a\u7ffb\u8bd1\u524d\u540e\u7684\u6280\u672f\u672f\u8bed\u5bf9\u5e94\u5173\u7cfb\u3002\\n<\u8f93\u5165\u6587\u672c>\\nTransformer\u662f\u5927\u8bed\u8a00\u6a21\u578b\u7684\u57fa\u7840\u3002\\n<\u793a\u4f8b>\\nTransformer -> Transformer\\nToken -> Token\\n\u96f6\u6837\u672c -> Zero Shot \\n\u5c11\u6837\u672c -> Few Shot\\n<\u4e13\u6709\u540d\u8bcd>\",\r\n\"files\": []\r\n}\r\n]\r\n}\r\n<\/code><\/pre>\n
\uff082\uff09\u8f93\u51fa<\/p>\n
{\r\n\"text\": \"Transformer -> Transformer\",\r\n\"usage\": {\r\n\"prompt_tokens\": 107,\r\n\"prompt_unit_price\": \"0.01\",\r\n\"prompt_price_unit\": \"0.001\",\r\n\"prompt_price\": \"0.0010700\",\r\n\"completion_tokens\": 3,\r\n\"completion_unit_price\": \"0.03\",\r\n\"completion_price_unit\": \"0.001\",\r\n\"completion_price\": \"0.0000900\",\r\n\"total_tokens\": 110,\r\n\"total_price\": \"0.0011600\",\r\n\"currency\": \"USD\",\r\n\"latency\": 1.0182260260044131\r\n}\r\n}\r\n<\/code><\/pre>\n
3.LLM 2<\/h6>\n
\uff081\uff09\u6570\u636e\u5904\u7406<\/p>\n
{\r\n\"model_mode\": \"chat\",\r\n\"prompts\": [\r\n{\r\n\"role\": \"system\",\r\n\"text\": \"<\u4efb\u52a1> \u60a8\u662f\u4e00\u540d\u7cbe\u901a\u82f1\u6587\u7684\u4e13\u4e1a\u8bd1\u8005\uff0c\u7279\u522b\u662f\u5728\u5c06\u4e13\u4e1a\u7684\u5b66\u672f\u8bba\u6587\u8f6c\u6362\u4e3a\u901a\u4fd7\u6613\u61c2\u7684\u79d1\u666e\u6587\u7ae0\u65b9\u9762\u6709\u7740\u975e\u51e1\u7684\u80fd\u529b\u3002\u8bf7\u534f\u52a9\u6211\u628a\u4e0b\u9762\u7684\u4e2d\u6587\u6bb5\u843d\u7ffb\u8bd1\u6210\u82f1\u6587\uff0c\u4f7f\u5176\u98ce\u683c\u4e0e\u82f1\u6587\u7684\u79d1\u666e\u6587\u7ae0\u76f8\u4f3c\u3002\\n<\u9650\u5236> \\n\u8bf7\u6839\u636e\u4e2d\u6587\u5185\u5bb9\u76f4\u63a5\u7ffb\u8bd1\uff0c\u7ef4\u6301\u539f\u6709\u7684\u683c\u5f0f\uff0c\u4e0d\u7701\u7565\u4efb\u4f55\u4fe1\u606f\u3002\\n<\u7ffb\u8bd1\u524d> \\nTransformer\u662f\u5927\u8bed\u8a00\u6a21\u578b\u7684\u57fa\u7840\u3002\\n<\u76f4\u63a5\u7ffb\u8bd1> \",\r\n\"files\": []\r\n}\r\n]\r\n}\r\n<\/code><\/pre>\n
\uff082\uff09\u8f93\u51fa<\/p>\n
{\r\n\"text\": \"The Transformer is the foundation of large language models.\",\r\n\"usage\": {\r\n\"prompt_tokens\": 176,\r\n\"prompt_unit_price\": \"0.001\",\r\n\"prompt_price_unit\": \"0.001\",\r\n\"prompt_price\": \"0.0001760\",\r\n\"completion_tokens\": 10,\r\n\"completion_unit_price\": \"0.002\",\r\n\"completion_price_unit\": \"0.001\",\r\n\"completion_price\": \"0.0000200\",\r\n\"total_tokens\": 186,\r\n\"total_price\": \"0.0001960\",\r\n\"currency\": \"USD\",\r\n\"latency\": 0.516718350991141\r\n}\r\n}\r\n<\/code><\/pre>\n
4.LLM 3<\/h6>\n
\uff081\uff09\u6570\u636e\u5904\u7406<\/p>\n
{\r\n\"model_mode\": \"chat\",\r\n\"prompts\": [\r\n{\r\n\"role\": \"system\",\r\n\"text\": \"<\u4efb\u52a1>\\n\u6839\u636e\u76f4\u63a5\u7ffb\u8bd1\u7684\u7ed3\u679c\uff0c\u6307\u51fa\u5176\u5177\u4f53\u5b58\u5728\u7684\u95ee\u9898\u3002\u9700\u8981\u63d0\u4f9b\u7cbe\u786e\u63cf\u8ff0\uff0c\u907f\u514d\u542b\u7cca\u5176\u8f9e\uff0c\u5e76\u4e14\u65e0\u9700\u589e\u6dfb\u539f\u6587\u4e2d\u672a\u5305\u542b\u7684\u5185\u5bb9\u6216\u683c\u5f0f\u3002\u5177\u4f53\u5305\u62ec\u4f46\u4e0d\u9650\u4e8e\uff1a\\n\u4e0d\u7b26\u5408\u82f1\u6587\u7684\u8868\u8fbe\u4e60\u60ef\uff0c\u8bf7\u660e\u786e\u6307\u51fa\u54ea\u91cc\u4e0d\u5408\u9002\u53e5\u5b50\u7ed3\u6784\u7b28\u62d9\uff0c\u8bf7\u6307\u51fa\u5177\u4f53\u4f4d\u7f6e\uff0c\u65e0\u9700\u63d0\u4f9b\u4fee\u6539\u5efa\u8bae\uff0c\u6211\u4eec\u5c06\u5728\u540e\u7eed\u7684\u81ea\u7531\u7ffb\u8bd1\u4e2d\u8fdb\u884c\u8c03\u6574\u8868\u8fbe\u542b\u7cca\u4e0d\u6e05\uff0c\u96be\u4ee5\u7406\u89e3\uff0c\u5982\u679c\u53ef\u80fd\uff0c\u53ef\u4ee5\u8bd5\u56fe\u8fdb\u884c\u89e3\u91ca\\n<\u76f4\u63a5\u7ffb\u8bd1>\\nThe Transformer is the foundation of large language models.\\n<\u539f\u6587>\\nTransformer\u662f\u5927\u8bed\u8a00\u6a21\u578b\u7684\u57fa\u7840\u3002\\n<\u76f4\u63a5\u7ffb\u8bd1\u7684\u95ee\u9898>\",\r\n\"files\": []\r\n}\r\n]\r\n}\r\n<\/code><\/pre>\n
\uff082\uff09\u8f93\u51fa<\/p>\n
{\r\n\"text\": \"\u53e5\u5b50\u7ed3\u6784\u7b28\u62d9\uff0c\u4e0d\u7b26\u5408\u82f1\u6587\u8868\u8fbe\u4e60\u60ef\u3002\",\r\n\"usage\": {\r\n\"prompt_tokens\": 217,\r\n\"prompt_unit_price\": \"0.001\",\r\n\"prompt_price_unit\": \"0.001\",\r\n\"prompt_price\": \"0.0002170\",\r\n\"completion_tokens\": 22,\r\n\"completion_unit_price\": \"0.002\",\r\n\"completion_price_unit\": \"0.001\",\r\n\"completion_price\": \"0.0000440\",\r\n\"total_tokens\": 239,\r\n\"total_price\": \"0.0002610\",\r\n\"currency\": \"USD\",\r\n\"latency\": 0.8566757979860995\r\n}\r\n}\r\n<\/code><\/pre>\n
5.LLM 4<\/h6>\n
\uff081\uff09\u6570\u636e\u5904\u7406<\/p>\n
{\r\n\"model_mode\": \"chat\",\r\n\"prompts\": [\r\n{\r\n\"role\": \"system\",\r\n\"text\": \"<\u4efb\u52a1>\u57fa\u4e8e\u521d\u6b21\u76f4\u63a5\u7ffb\u8bd1\u7684\u6210\u679c\u53ca\u968f\u540e\u8bc6\u522b\u7684\u5404\u9879\u95ee\u9898\uff0c\u6211\u4eec\u5c06\u8fdb\u884c\u4e00\u6b21\u91cd\u65b0\u7ffb\u8bd1\uff0c\u65e8\u5728\u66f4\u51c6\u786e\u5730\u4f20\u8fbe\u539f\u6587\u7684\u610f\u4e49\u3002\u5728\u8fd9\u4e00\u8fc7\u7a0b\u4e2d\uff0c\u6211\u4eec\u5c06\u81f4\u529b\u4e8e\u786e\u4fdd\u5185\u5bb9\u65e2\u5fe0\u4e8e\u539f\u610f\uff0c\u53c8\u66f4\u52a0\u8d34\u8fd1\u82f1\u6587\u7684\u8868\u8fbe\u65b9\u5f0f\uff0c\u66f4\u5bb9\u6613\u88ab\u7406\u89e3\u3002\u5728\u6b64\u8fc7\u7a0b\u4e2d\uff0c\u6211\u4eec\u5c06\u4fdd\u6301\u539f\u6709\u683c\u5f0f\u4e0d\u53d8\u3002\\n<\u76f4\u63a5\u7ffb\u8bd1> \\nThe Transformer is the foundation of large language models.\\n<\u7b2c\u4e00\u6b21\u7ffb\u8bd1\u7684\u95ee\u9898>\\n\u53e5\u5b50\u7ed3\u6784\u7b28\u62d9\uff0c\u4e0d\u7b26\u5408\u82f1\u6587\u8868\u8fbe\u4e60\u60ef\u3002\\n<\u610f\u8bd1> \",\r\n\"files\": []\r\n}\r\n]\r\n}\r\n<\/code><\/pre>\n
\uff082\uff09\u8f93\u51fa<\/p>\n
{\r\n\"text\": \"The Transformer serves as the cornerstone for large-scale language models.\",\r\n\"usage\": {\r\n\"prompt_tokens\": 187,\r\n\"prompt_unit_price\": \"0.01\",\r\n\"prompt_price_unit\": \"0.001\",\r\n\"prompt_price\": \"0.0018700\",\r\n\"completion_tokens\": 12,\r\n\"completion_unit_price\": \"0.03\",\r\n\"completion_price_unit\": \"0.001\",\r\n\"completion_price\": \"0.0003600\",\r\n\"total_tokens\": 199,\r\n\"total_price\": \"0.0022300\",\r\n\"currency\": \"USD\",\r\n\"latency\": 1.3619857440062333\r\n}\r\n}\r\n<\/code><\/pre>\n
6.\u7ed3\u675f<\/h6>\n
\uff081\uff09\u8f93\u5165<\/p>\n
{\r\n\"second_translation\": \"The Transformer serves as the cornerstone for large-scale language models.\"\r\n}\r\n<\/code><\/pre>\n
\uff082\uff09\u8f93\u51fa<\/p>\n
{\r\n\"second_translation\": \"The Transformer serves as the cornerstone for large-scale language models.\"\r\n}\r\n<\/code><\/pre>\n
\u4e94.\u5728Agent\u4e2d\u6d4b\u8bd5\u4e09\u6b65\u7ffb\u8bd1\u5de5\u4f5c\u6d41<\/h2>\n
\u5f53\u542f\u52a8\u5de5\u5177\u7684\u65f6\u5019\uff1a<\/p>\n
\"-19\"<\/p>\n
\u5f53\u5173\u95ed\u5de5\u5177\u7684\u65f6\u5019\uff1a<\/p>\n
\"-20\"<\/p>\n
\u516d.\u76f8\u5173\u95ee\u9898<\/h2>\n
1.Agent\u4e2d\u7684Workflow\u4f55\u65f6\u88ab\u89e6\u53d1<\/h6>\n
\u548c\u5de5\u5177\u4e00\u6837\uff0c\u901a\u8fc7\u5de5\u5177\u63cf\u8ff0\u89e6\u53d1\u3002\u5177\u4f53\u5b9e\u73b0\u53ea\u6709\u770b\u6e90\u7801\u624d\u80fd\u6e05\u695a\u3002<\/p>\n
\u53c2\u8003\u6587\u732e<\/h1>\n
[1] \u5de5\u4f5c\u6d41\uff1ahttps:\/\/docs.dify.ai\/v\/zh-hans\/guides\/workflow<\/p>\n
[2] \u624b\u6478\u624b\u6559\u4f60\u628a Dify \u63a5\u5165\u5fae\u4fe1\u751f\u6001\uff1ahttps:\/\/docs.dify.ai\/v\/zh-hans\/learn-more\/use-cases\/dify-on-wechat<\/p>\n
[3] Jinja\u5b98\u65b9\u6587\u6863\uff1ahttps:\/\/jinja.palletsprojects.com\/en\/3.0.x\/<\/p>\n
[4] Jinja\u6a21\u677f\uff1ahttps:\/\/jinja.palletsprojects.com\/en\/3.1.x\/templates\/<\/p>\n","protected":false},"excerpt":{"rendered":"
\u53ef\u4ee5\u5728 Dify v0.6.9\u4e2d\u53d1\u5e03\u4eba\u5de5\u667a\u80fd\u5de5\u4f5c\u6d41\u7a0b\u4f5c\u4e3a\u53ef\u590d\u7528\u7684\u5de5\u5177\uff08\u5728Agent\u6216Workflow\u4e2d\u4f7f\u7528\uff09\u3002\u8fd9\u4f7f\u5f97\u5b83\u53ef\u4ee5\u4e0e\u65b0\u7684agents\u548c\u5176\u5b83workflows\u96c6\u6210\uff0c\u4ece\u800c\u6d88\u9664\u91cd\u590d\u7684\u5de5\u4f5c\u3002\u65b0\u589e\u4e86\u4e24\u4e2a\u5de5\u4f5c\u6d41\u8282\u70b9\u548c\u4e00\u4e2a\u6539\u8fdb\u7684\u8282\u70b9\uff1a \u8fed\u4ee3\uff1a\u786e\u4fdd…<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[182],"tags":[],"class_list":["post-15077","post","type-post","status-publish","format-standard","hentry","category-shicao"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/posts\/15077","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/comments?post=15077"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/posts\/15077\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/media?parent=15077"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/categories?post=15077"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/tags?post=15077"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}