{"id":154390,"date":"2023-11-10T16:18:27","date_gmt":"2023-11-10T07:18:27","guid":{"rendered":"https:\/\/support.questetra.com\/?p=154390"},"modified":"2023-11-13T16:46:50","modified_gmt":"2023-11-13T07:46:50","slug":"openai-chat-answer-text-prompt-202311","status":"publish","type":"post","link":"https:\/\/support.questetra.com\/en\/addons\/openai-chat-answer-text-prompt-202311\/","title":{"rendered":"OpenAI #Chat: Answer Text Prompt"},"content":{"rendered":"\n

OpenAI #Chat: Answer Text Prompt<\/strong><\/h4>\n\n\n\n

translate<\/span> OpenAI #Chat: Text\u30d7\u30ed\u30f3\u30d7\u30c8\u306b\u56de\u7b54<\/a><\/p>\n\n\n\n

Generates a response to the Text Prompt. By default, it is generated by accessing \u201cgpt-4-1106-preview MODEL\u201d (can be changed to any MODEL). Text prompts for starting a conversation are defined separately for system messages and user messages. Generally, the system message contains the answer rules and the personality of the answering character, and the user message contains the question text. You can also request multiple answers.<\/p>\n\n\n\n

\"Auto<\/figure>\n\n\n\n
\n
Configs for this Auto Step<\/summary>
\n
\n
AuthzConfU1<\/dt>
U1: Select HTTP_Authz Setting (Secret API Key as “Fixed Value”) *<\/span><\/dd>\n
StrConfA1<\/dt>
A1: Set SYSTEM Message Prompt#{EL}<\/sup><\/span><\/dd>\n
StrConfA2<\/dt>
A2: Set USER Message Prompt#{EL}<\/sup><\/span><\/dd>\n
StrConfB1<\/dt>
B1: Set Number of Responses (default 1 upto 4)#{EL}<\/sup><\/span><\/dd>\n
SelectConfC1<\/dt>
C1: Select STRING where Response1 will be stored (update) *<\/span><\/dd>\n
SelectConfC2<\/dt>
C2: Select STRING where Response2 will be stored (update)<\/dd>\n
SelectConfC3<\/dt>
C3: Select STRING where Response3 will be stored (update)<\/dd>\n
SelectConfC4<\/dt>
C4: Select STRING where Response4 will be stored (update)<\/dd>\n<\/div>\n
StrConfM<\/dt>
M: Set MODEL Name (default “gpt-4-1106-preview”)#{EL}<\/sup><\/span><\/dd>\n
StrConfU2<\/dt>
U2: Set OpenAI Organization ID (“org-xxxx”)#{EL}<\/sup><\/span><\/dd>\n
StrConfU3<\/dt>
U3: Set End-User ID for Monitoring or Detecting (“user123456”)#{EL}<\/sup><\/span><\/dd>\n
StrConfB2<\/dt>
B2: Set Limit of Response Tokens (default 4095)#{EL}<\/sup><\/span><\/dd>\n
StrConfB3<\/dt>
B3: Set Stop Sequences for each lines (eg “.”)#{EL}<\/sup><\/span><\/dd>\n
SelectConfD1<\/dt>
D1: Select NUMERIC where PROMPT Tokens will be stored (update)<\/dd>\n
SelectConfD2<\/dt>
D2: Select NUM where COMPLETION Tokens will be stored (update)<\/dd>\n
SelectConfD3<\/dt>
D3: Select NUM where Total Tokens will be stored (update)<\/dd>\n
SelectConfD4<\/dt>
D4: Select STRING where Finish Reasons will be stored (update)<\/dd>\n<\/div>\n\n<\/dl>\n<\/div><\/details><\/div>\n<\/div>\n\n\n\n
\n
Script (click to open)<\/summary>
\n
\/\/ Script Example of Business Process Automation\n\/\/ for 'engine type: 3' ("GraalJS standard mode")\n\/\/ cf. 'engine type: 2' ("GraalJS Nashorn compatible mode") (renamed from "GraalJS" at 20230526)\n\n\/\/\/\/\/\/\/\/ START "main()" \/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\n\nmain();\nfunction main(){ \n\n\/\/\/\/\/\/ == Config Retrieving \/ \u5de5\u7a0b\u30b3\u30f3\u30d5\u30a3\u30b0\u306e\u53c2\u7167 ==\nconst strAuthzSetting           = configs.get      ( "AuthzConfU1" );  \/\/\/ REQUIRED\n  engine.log( " AutomatedTask Config: Authz Setting: " + strAuthzSetting );\nconst strOrgId                  = configs.get      ( "StrConfU2" );    \/\/ NotRequired\n  engine.log( " AutomatedTask Config: OpenAI-Organization: " + strOrgId );\nconst strEndUserId              = configs.get      ( "StrConfU3" ) !== "" ?  \/\/ NotRequired\n                                  configs.get      ( "StrConfU3" ) :\n                                  "m" + processInstance.getProcessModelInfoId().toString(); \/\/ (default)\n  engine.log( " AutomatedTask Config: End User IDs: " + strEndUserId );\n\nconst strModel                  = configs.get      ( "StrConfM" ) !== "" ?   \/\/ NotRequired\n                                  configs.get      ( "StrConfM" ) : "gpt-4-1106-preview"; \/\/ (default)\n  engine.log( " AutomatedTask Config: OpenAI Model: " + strModel );\n\nconst strSystemMsg              = configs.get      ( "StrConfA1" );    \/\/ NotRequired\nconst strUserMsg                = configs.get      ( "StrConfA2" );    \/\/ NotRequired\n  if( strUserMsg === "" && strSystemMsg    === ""){\n    throw new Error( "\\n AutomatedTask ConfigError:" +\n                     " Config {A1:SystemMsg} or {A2:UserMsg} required \\n" );\n  }\nconst strChoises                = configs.get      ( "StrConfB1" );    \/\/ NotRequired\nconst numChoises                = isNaN(parseInt(strChoises,10)) ?\n                                  1 : parseInt(strChoises,10);\nconst strLimit                  = configs.get      ( "StrConfB2" );    \/\/ NotRequired\nconst numLimit                  = isNaN(parseInt(strLimit,10)) ?\n                                  4095 : parseInt(strLimit,10);\nconst strStops                  = configs.get      ( "StrConfB3" );    \/\/ NotRequired\nconst arrStops                  = strStops !== "" ?\n                                  strStops.split("\\n") : null;\n\nconst strPocketResponse1        = configs.getObject( "SelectConfC1" ); \/\/\/ REQUIRED\nconst strPocketResponse2        = configs.getObject( "SelectConfC2" ); \/\/ NotRequired\nconst strPocketResponse3        = configs.getObject( "SelectConfC3" ); \/\/ NotRequired\nconst strPocketResponse4        = configs.getObject( "SelectConfC4" ); \/\/ NotRequired\nconst numPocketPromptTokens     = configs.getObject( "SelectConfD1" ); \/\/ NotRequired\nconst numPocketCompletionTokens = configs.getObject( "SelectConfD2" ); \/\/ NotRequired\nconst numPocketTotalTokens      = configs.getObject( "SelectConfD3" ); \/\/ NotRequired\nconst strPocketFinishReasons    = configs.getObject( "SelectConfD4" ); \/\/ NotRequired\n\n\n\n\/\/\/\/\/\/ == Data Retrieving \/ \u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u30c7\u30fc\u30bf\u306e\u53c2\u7167 ==\n\/\/ (Nothing. Retrieved via Expression Language in Config Retrieving)\n\n\n\/\/\/\/\/\/ == Calculating \/ \u6f14\u7b97 ==\n\n\/\/\/\/ OpenAI API > Documentation > API REFERENCE > CHAT\n\/\/\/\/ https:\/\/platform.openai.com\/docs\/api-reference\/chat\n\n\/\/\/ prepare json\nlet strJson = {};\n    strJson.model = strModel;\n    strJson.user  = strEndUserId;\n    \/\/  strJson.response_format = {};\n    \/\/  strJson.response_format.type = "json_object"; \/\/ valid JSON mode\n    \/\/  To Make response_content JSON ('json' required in Request Msg)\n    strJson.n          = numChoises;\n    strJson.max_tokens = numLimit;\n    if ( arrStops !== null ){\n      strJson.stop = [];\n      \/\/ Up to 4 sequences where the API will stop generating further tokens.\n      const numMaxSeq = 4;\n      for ( let i = 0; i < arrStops.length && i < numMaxSeq; i++ ){\n        if ( arrStops[i] === "- - -" ){\n          strJson.stop.push ( "\\n" );\n        }else{\n          strJson.stop.push ( arrStops[i] );\n        }\n      }\n    }\n    strJson.messages = [];\n    if ( strSystemMsg !=="" ) {\n      let objSystemMsg = {};\n          objSystemMsg.role = "system";\n          objSystemMsg.content = strSystemMsg;\n      strJson.messages.push ( objSystemMsg );\n    }\n    if ( strUserMsg !=="" ) {\n      let objUserMsg = {};\n          objUserMsg.role = "user";\n          objUserMsg.content = strUserMsg;\n      strJson.messages.push ( objUserMsg );\n    }\n\n\/\/\/ prepare request1\nlet request1Uri = "https:\/\/api.openai.com\/v1\/chat\/completions";\nlet request1 = httpClient.begin(); \/\/ HttpRequestWrapper\n    request1 = request1.authSetting( strAuthzSetting ); \/\/ with "Authorization: Bearer XX"\n    if ( strOrgId !== "" ){\n      request1 = request1.header( "OpenAI-Organization", strOrgId );\n    }\n    request1 = request1.body( JSON.stringify( strJson ), "application\/json" );\n\n\/\/\/ try request1\nconst response1     = request1.post( request1Uri ); \/\/ HttpResponseWrapper\nengine.log( " AutomatedTask ApiRequest1 Start: " + request1Uri );\nconst response1Code = response1.getStatusCode() + ""; \/\/ JavaNum to string\nconst response1Body = response1.getResponseAsString();\nengine.log( " AutomatedTask ApiResponse1 Status: " + response1Code );\nif( response1Code !== "200"){\n  throw new Error( "\\n AutomatedTask UnexpectedResponseError: " +\n                    response1Code + "\\n" + response1Body + "\\n" );\n}\n\n\n\/\/\/ parse response1\n\/* engine.log( response1Body ); \/\/ debug\n{\n  "id": "chatcmpl-8JF1v1NheMIZfeX2AcBjKunKUMN8p",\n  "object": "chat.completion",\n  "created": 1699596699,\n  "model": "gpt-4-1106-preview",\n  "choices": [\n    {\n      "index": 0,\n      "message": {\n        "role": "assistant",\n        "content": "\u304a\u5ba2\u69d8\u3001\u3053\u306e\u8a71\u984c\u306b\u3064 ... ... "\n      },\n      "finish_reason": "stop"\n    },\n    {\n      "index": 1,\n      "message": {\n        "role": "assistant",\n        "content": "\u3053\u306e\u5ea6\u306e\u65b0\u805e\u8a18\u4e8b\u306b\u95a2\u3057 ... ... "\n      },\n      "finish_reason": "stop"\n    }\n  ],\n  "usage": {\n    "prompt_tokens": 1678,\n    "completion_tokens": 1401,\n    "total_tokens": 3079\n  },\n  "system_fingerprint": "fp_a24b4d720c"\n}\n*\/\nconst response1Obj = JSON.parse( response1Body );\n\nlet arrFinishReasons = [];\nfor ( let i = 0; i < response1Obj.choices.length; i++ ){\n  arrFinishReasons.push ( response1Obj.choices[i].finish_reason );\n}\n\n\n\/\/\/\/\/\/ == Data Updating \/ \u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u30c7\u30fc\u30bf\u3078\u306e\u4ee3\u5165 ==\n\nif( strPocketResponse1 !== null ){\n  engine.setData( strPocketResponse1,\n                  response1Obj.choices[0]?.message.content ?? ""\n                );  \/\/ optional chaining - nullish coalescing\n}\nif( strPocketResponse2 !== null ){\n  engine.setData( strPocketResponse2, response1Obj.choices[1]?.message.content ?? "" );\n}\nif( strPocketResponse3 !== null ){\n  engine.setData( strPocketResponse3, response1Obj.choices[2]?.message.content ?? "" );\n}\nif( strPocketResponse4 !== null ){\n  engine.setData( strPocketResponse4, response1Obj.choices[3]?.message.content ?? "" );\n}\n\nif( numPocketPromptTokens !== null ){\n  engine.setData( numPocketPromptTokens, new java.math.BigDecimal(\n                  response1Obj.usage.prompt_tokens ?? 0\n                ));\n}\nif( numPocketCompletionTokens !== null ){\n  engine.setData( numPocketCompletionTokens, new java.math.BigDecimal(\n                  response1Obj.usage.completion_tokens ?? 0\n                ));\n}\nif( numPocketTotalTokens !== null ){\n  engine.setData( numPocketTotalTokens, new java.math.BigDecimal(\n                  response1Obj.usage.total_tokens ?? 0\n                ));\n}\n\/\/ "??": Nullish coalescing operator (ES11)\n\/\/ https:\/\/developer.mozilla.org\/docs\/Web\/JavaScript\/Reference\/Operators\/Nullish_coalescing\n\nif( strPocketFinishReasons !== null ){\n  engine.setData( strPocketFinishReasons, arrFinishReasons.join('\\n') );\n}\n\n} \/\/\/\/\/\/\/\/ END "main()" \/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\n\n\n\/*\nNotes:\n- This [Automated Step] obtains the Text Response via OpenAI API (Chat endpoint).\n    - Up to 4 Text can be genarated (default: 1)\n- If place this [Automated Atep] in the workflow diagram, communication will occur every time a process arrives.\n    - Request from the Questetra BPM Suite server to the OpenAI server.\n    - Analyzes the response from the OpenAI server and stores the necessary information.\n- [HTTP Authz Settings] is required for workflow apps that include this [Automated Step].\n    - An API key is required to use OpenAI API. Please obtain an API key in advance.\n        - https:\/\/platform.openai.com\/api-keys\n    - Set 'Secret API Key' as communication token. [HTTP Authz Settings] > [Token Fixed Value]\n- Model endpoint compatibility (as of Nov 2023)\n    - `gpt-4` (dated model releases)\n    - `gpt-4-1106-preview`\n    - `gpt-4-32k` (dated model releases)\n    - `gpt-3.5-turbo` (dated model releases)\n    - `gpt-3.5-turbo-16k` (dated model releases)\n    - fine-tuned versions of `gpt-3.5-turbo`\n    - see: https:\/\/platform.openai.com\/docs\/models\/model-endpoint-compatibility (\/v1\/chat\/completions)\n- GPT-4 Turbo with 128K context\n    - `gpt-4-1106-preview`: a preview of the next generation of GPT-4 (GPT-4 Turbo)\n        - the first version of GPT-4 in March 2023 (available to all developers in July 2023)\n    - has knowledge of world events up to April 2023.\n        - CEO Altman, "We will try to never let it get that out of date again." \n    - has a 128k context window so it can fit the equivalent of more than 300 pages of text in a single prompt.\n    - at a 3x cheaper price for input tokens and a 2x cheaper price for output tokens compared to GPT-4.\n\nAPPENDIX\n- Large amount of allowable response sentences to be generated may exceed the system limit.\n    - Generation will be aborted if the allowable amount is reached.\n        - `"finish_reason":"length",`\n        - If a large number is set for "Number of Responses," the response is more likely to be interrupted.\n    - For English, one word or symbol often counts as one token.\n        - For average English, it is about 1 token for 4 characters.\n        - In Japanese, a single character may be divided into multiple tokens.\n        - In the case of average Japanese, a single character is about one token.\n    - You can check the approximate number of word tokens at tokenizer.\n        - https:\/\/platform.openai.com\/tokenizer\n- Stop Sequences can be set up to four (invalid after the fifth line)\n    - If set `\\t` or other characters, they will be escaped.\n    - To set a newline code (`\\n`), set `- - -`. (experimental)\n        - The response will always be a single line.\n- Note that the workflow app ID is automatically assigned to the `user` parameter of the OpenAI API. (experimental)\n    - `processInstance.getProcessModelInfoId()`\n- In settings that refer to numeric type data, be careful not to mix in digit separators.\n    - The formatting function `#sformat` is useful. (Java String.format)\n    - e.g. `#{#sformat("%1.1f", #q_numeric)}` (rounded to one decimal place)\n    - "R2272: Output of Strings via EL"\n        - https:\/\/questetra.zendesk.com\/hc\/en-us\/articles\/360024292872-R2272-Output-of-Strings-via-EL-syntax\n- If the number of responses is set to more than one, "Finish Reasons" will be in multiple lines.\n     - If multiple lines are expected, set the data item to be stored as a multiline string.\n\nNotes-ja:\n- \u3053\u306e\uff3b\u81ea\u52d5\u5de5\u7a0b\uff3d\u306f\u3001OpenAI API \uff08Chat \u30a8\u30f3\u30c9\u30dd\u30a4\u30f3\u30c8\uff09\u3092\u901a\u3058\u3066\u3001\u56de\u7b54\u6587\u7ae0\u3092\u53d6\u5f97\u3057\u307e\u3059\u3002\n    - \u3053\u306e\uff3b\u81ea\u52d5\u5de5\u7a0b\uff3d\u3067\u751f\u6210\u3067\u304d\u308b\u6587\u7ae0\u306f\u6700\u59274\u3064\u3067\u3059\u3002\uff08\u30c7\u30d5\u30a9\u30eb\u30c8\uff1a\uff11\uff09\n- \u3053\u306e\uff3b\u81ea\u52d5\u5de5\u7a0b\uff3d\u3092\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u56f3\u306b\u914d\u7f6e\u3059\u308c\u3070\u3001\u6848\u4ef6\u5230\u9054\u306e\u5ea6\u306b\u901a\u4fe1\u304c\u767a\u751f\u3057\u307e\u3059\u3002\n    - Questetra BPM Suite \u30b5\u30fc\u30d0\u304b\u3089 OpenAI \u30b5\u30fc\u30d0\u306b\u5bfe\u3057\u3066\u30ea\u30af\u30a8\u30b9\u30c8\u3057\u307e\u3059\u3002\n    - OpenAI \u30b5\u30fc\u30d0\u304b\u3089\u306e\u30ec\u30b9\u30dd\u30f3\u30b9\u3092\u89e3\u6790\u3057\u3001\u5fc5\u8981\u60c5\u5831\u3092\u683c\u7d0d\u3057\u307e\u3059\u3002\n- \u3053\u306e\uff3b\u81ea\u52d5\u5de5\u7a0b\uff3d\u3092\u542b\u3080\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u30a2\u30d7\u30ea\u306b\u306f\u3001\uff3bHTTP \u8a8d\u8a3c\u8a2d\u5b9a\uff3d\u304c\u5fc5\u8981\u3067\u3059\u3002\n    - OpenAI API \u306e\u5229\u7528\u306b\u306f API key \u304c\u5fc5\u8981\u3067\u3059\u3002\u3042\u3089\u304b\u3058\u3081 API Key \u3092\u53d6\u5f97\u3057\u3066\u304a\u3044\u3066\u304f\u3060\u3055\u3044\u3002\n        - https:\/\/platform.openai.com\/api-keys\n    - 'Secret API Key' \u3092\u901a\u4fe1\u30c8\u30fc\u30af\u30f3\u3068\u3057\u3066\u30bb\u30c3\u30c8\u3057\u307e\u3059\u3002\uff3bHTTP \u8a8d\u8a3c\u8a2d\u5b9a\uff3d\uff1e\uff3b\u30c8\u30fc\u30af\u30f3\u76f4\u63a5\u6307\u5b9a\uff3d\n- \u5bfe\u5fdc MODEL (2023\u5e7411\u6708\u73fe\u5728)\n    - `gpt-4` (dated model releases)\n    - `gpt-4-1106-preview`\n    - `gpt-4-32k` (dated model releases)\n    - `gpt-3.5-turbo` (dated model releases)\n    - `gpt-3.5-turbo-16k` (dated model releases)\n    - fine-tuned versions of `gpt-3.5-turbo`\n    - see: https:\/\/platform.openai.com\/docs\/models\/model-endpoint-compatibility (\/v1\/chat\/completions)\n- 128K \u30b3\u30f3\u30c6\u30ad\u30b9\u30c8\u3092\u5099\u3048\u305f GPT-4 Turbo \u3068\u306f\uff1f\n    - `gpt-4-1106-preview`: \u6b21\u4e16\u4ee3 GPT-4 (GPT-4 Turbo) \u306e\u30d7\u30ec\u30d3\u30e5\u30fc\u7248\n        - GPT-4 \u306e\u521d\u7248\u306f 2023\u5e743\u6708\u30ea\u30ea\u30fc\u30b9 (2023\u5e747\u6708\u306b\u5168\u958b\u767a\u8005\u304c\u5229\u7528\u53ef\u80fd)\n    - 2023\u5e744\u6708\u307e\u3067\u306e\u51fa\u6765\u4e8b\u306b\u77e5\u8b58\u304c\u3042\u308b\u3002\n        - \u30a2\u30eb\u30c8\u30de\u30f3CEO\u3001\u300c2\u5ea6\u3068\u6642\u4ee3\u9045\u308c\u306b\u306a\u3089\u306a\u3044\u3088\u3046\u306b\u3059\u308b\u300d\n    - 128k \u30b3\u30f3\u30c6\u30ad\u30b9\u30c8\u3067\u3001300\u30da\u30fc\u30b8\u3092\u8d85\u3048\u308b\u30c6\u30ad\u30b9\u30c8\u306b\u76f8\u5f53\u3059\u308b\u60c5\u5831\u30921\u30d7\u30ed\u30f3\u30d7\u30c8\u306b\u53ce\u7d0d\u53ef\u3002\n    - GPT-4 \u3068\u6bd4\u8f03\u3057\u3066\u3001\u5165\u529b\u30c8\u30fc\u30af\u30f3\u4fa1\u683c\u304c3\u500d\u3001\u51fa\u529b\u30c8\u30fc\u30af\u30f3\u306e\u4fa1\u683c\u304c2\u500d\u3001\u5b89\u304f\u306a\u3063\u305f\u3002\n\nAPPENDIX-ja\n- \u30ec\u30b9\u30dd\u30f3\u30b9\u6587\u306e\u751f\u6210\u8a31\u5bb9\u91cf\u3092\u5927\u304d\u304f\u8a2d\u5b9a\u3057\u305f\u5834\u5408\u3001\u30b7\u30b9\u30c6\u30e0\u5236\u9650\u3092\u8d85\u3048\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002\n    - \u6587\u7ae0\u306e\u9014\u4e2d\u3067\u3042\u3063\u3066\u3082\u8a31\u5bb9\u91cf\u306b\u5230\u9054\u3059\u308c\u3070\u751f\u6210\u304c\u4e2d\u65ad\u3055\u308c\u307e\u3059\u3002\n        - `"finish_reason":"length",`\n        - "\u30ec\u30b9\u30dd\u30f3\u30b9\u6570" \u306b\u5927\u304d\u306a\u6570\u5b57\u3092\u30bb\u30c3\u30c8\u3059\u308b\u3068\u3001\u30ec\u30b9\u30dd\u30f3\u30b9\u4e2d\u65ad\u306e\u53ef\u80fd\u6027\u304c\u9ad8\u304f\u306a\u308a\u307e\u3059\u3002\n    - \u82f1\u8a9e\u306e\u5834\u5408\u3001\u5358\u8a9e\u3084\u8a18\u53f7\u3054\u3068\u306b1\u30c8\u30fc\u30af\u30f3\u306b\u306a\u308a\u307e\u3059\u3002\n        - \u5e73\u5747\u7684\u306a\u82f1\u8a9e\u306e\u5834\u5408\u30014\u6587\u5b57\u30671\u30c8\u30fc\u30af\u30f3\u7a0b\u5ea6\u306b\u306a\u308a\u307e\u3059\u3002\n        - \u65e5\u672c\u8a9e\u306e\u5834\u5408\u30011\u6587\u5b57\u304c\u8907\u6570\u30c8\u30fc\u30af\u30f3\u306b\u5206\u5272\u3055\u308c\u308b\u3053\u3068\u3082\u3042\u308a\u307e\u3059\u3002\n        - \u5e73\u5747\u7684\u306a\u65e5\u672c\u8a9e\u306e\u5834\u5408\u30011\u6587\u5b57\u30671\u30c8\u30fc\u30af\u30f3\u7a0b\u5ea6\u306b\u306a\u308a\u307e\u3059\u3002\n    - \u30ef\u30fc\u30c9\u30c8\u30fc\u30af\u30f3\u6570\u306e\u76ee\u5b89\u306f tokenizer \u306b\u3066\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002\n        - https:\/\/platform.openai.com\/tokenizer\n- "\u4e2d\u65ad\u6587\u5b57\u5217" \u3068\u3057\u3066\u30bb\u30c3\u30c8\u3067\u304d\u308b\u6587\u7bc0\u306f\uff14\u3064\u307e\u3067\u3067\u3059\u3002\uff085\u884c\u76ee\u4ee5\u964d\u306f\u7121\u52b9\uff09\n    - "\u4e2d\u65ad\u6587\u5b57\u5217" \u306b `\\t` \u7b49\u3092\u8a2d\u5b9a\u3057\u305f\u5834\u5408\u3001\u30a8\u30b9\u30b1\u30fc\u30d7\u51e6\u7406\u3055\u308c\u307e\u3059\u3002\n    - "\u4e2d\u65ad\u6587\u5b57\u5217" \u306b\u6539\u884c\u30b3\u30fc\u30c9\uff08`\\n`\uff09\u3092\u30bb\u30c3\u30c8\u3057\u305f\u3044\u5834\u5408\u3001`- - -` \u3092\u30bb\u30c3\u30c8\u3057\u307e\u3059\u3002\uff08\u8a66\u9a13\u7684\uff09\n        - \u30ec\u30b9\u30dd\u30f3\u30b9\u306f\u5e38\u306b\u4e00\u884c\u306b\u306a\u308a\u307e\u3059\u3002\n- \u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u30a2\u30d7\u30eaID\u304c\u3001OpenAI API \u306e `user` \u30d1\u30e9\u30e1\u30fc\u30bf\u306b\u81ea\u52d5\u7684\u306b\u4ee3\u5165\u3055\u308c\u307e\u3059\u3002\uff08\u8a66\u9a13\u7684\uff09\n    - `processInstance.getProcessModelInfoId()`\n- \u6570\u5024\u578b\u30c7\u30fc\u30bf\u3092\u53c2\u7167\u3059\u308b\u8a2d\u5b9a\u3067\u306f\u3001\u6841\u533a\u5207\u308a\u6587\u5b57\u304c\u6df7\u5165\u3057\u306a\u3044\u3088\u3046\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002\n    - \u30d5\u30a9\u30fc\u30de\u30c3\u30c8\u95a2\u6570 `#sformat` \u3092\u4f7f\u3046\u3068\u4fbf\u5229\u3067\u3059\u3002\uff08Java String.format\uff09\n    - e.g. `#{#sformat("%1.1f", #q_numeric)}` \uff08\u5c0f\u6570\u7b2c\u4e00\u4f4d\u307e\u3067\u56db\u6368\u4e94\u5165\uff09\n    - "R2272: \u6587\u5b57\u5217\u3068\u3057\u3066\u306e\u51fa\u529b"\n        - https:\/\/questetra.zendesk.com\/hc\/en-us\/articles\/360024292872-R2272\n- \u30ec\u30b9\u30dd\u30f3\u30b9\u6570\u306e\u8a2d\u5b9a\u304c\u8907\u6570\u306e\u5834\u5408\u3001"\u751f\u6210\u7d42\u4e86\u7406\u7531" \u304c\u8907\u6570\u884c\u306b\u306a\u308a\u307e\u3059\u3002\n    - \u8907\u6570\u884c\u304c\u60f3\u5b9a\u3055\u308c\u308b\u5834\u5408\u3001\u683c\u7d0d\u3059\u308b\u30c7\u30fc\u30bf\u9805\u76ee\u306f\u8907\u6570\u884c\u6587\u5b57\u5217\u3092\u8a2d\u5b9a\u3057\u3066\u304f\u3060\u3055\u3044\u3002\n*\/\n\n<\/code><\/pre><\/div>\n<\/div><\/details><\/div>\n<\/div>\n\n\n\n
Download<\/span><\/h3>\n\n\n\n