{"id":148778,"date":"2023-08-01T10:21:47","date_gmt":"2023-08-01T01:21:47","guid":{"rendered":"https:\/\/support.questetra.com\/?p=148778"},"modified":"2023-08-01T10:21:49","modified_gmt":"2023-08-01T01:21:49","slug":"openai-models-list-2023","status":"publish","type":"post","link":"https:\/\/support.questetra.com\/ja\/addons\/openai-models-list-2023\/","title":{"rendered":"OpenAI #MODELs: \u30ea\u30b9\u30c8"},"content":{"rendered":"\n

OpenAI #MODELs: \u30ea\u30b9\u30c8<\/strong><\/h4>\n\n\n\n

translate<\/span> OpenAI #MODELs: List<\/a><\/p>\n\n\n\n

API \u3067\u5229\u7528\u53ef\u80fd\u306aMODEL\uff08AI\u30e2\u30c7\u30eb\uff09\u3092\u30ea\u30b9\u30c8\u3057\u307e\u3059\u3002Fine-Tuned Models (FtMODEL) \u3092\u542b\u307f\u307e\u3059\u3002\u5168\u30e2\u30c7\u30eb\u6570\u3068\u5404\u30e2\u30c7\u30eb\u306e\u57fa\u672c\u60c5\u5831TSV\uff08\u4f5c\u6210\u6642\u523b\u30fb\u6240\u6709\u8005\u30fb\u30eb\u30fc\u30c8\u30e2\u30c7\u30eb\u30fb\u30e2\u30c7\u30ebID\uff09\u304c\u53d6\u5f97\u53ef\u80fd\u3067\u3059\u3002<\/p>\n\n\n\n

\"Auto<\/figure>\n\n\n\n
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Configs for this Auto Step<\/summary>
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AuthzConfU1<\/dt>
U1: HTTP\u8a8d\u8a3c\u8a2d\u5b9a\u3092\u9078\u629e\u3057\u3066\u304f\u3060\u3055\u3044\uff08Secret API Key \uff20\u30c8\u30fc\u30af\u30f3\u76f4\u63a5\u6307\u5b9a\uff09 *<\/span><\/dd>\n
SelectConfB1<\/dt>
B1: MODEL\u306e\u6570\u304c\u683c\u7d0d\u3055\u308c\u308b\u6570\u5024\u578b\u30c7\u30fc\u30bf\u9805\u76ee\u3092\u9078\u629e\u3057\u3066\u304f\u3060\u3055\u3044\uff08\u66f4\u65b0\uff09<\/dd>\n
SelectConfB3<\/dt>
B3: MODELs\u306e\u4e00\u89a7TSV\u304c\u683c\u7d0d\u3055\u308c\u308b\u6587\u5b57\u5217\u578b\u30c7\u30fc\u30bf\u9805\u76ee\u3092\u9078\u629e\u3057\u3066\u304f\u3060\u3055\u3044\uff08\u66f4\u65b0\uff09<\/dd>\n<\/div>\n
StrConfU2<\/dt>
U2: OpenAI Organization ID \u3092\u30bb\u30c3\u30c8\u3057\u3066\u304f\u3060\u3055\u3044\uff08”org-xxxx”\uff09#{EL}<\/sup><\/span><\/dd>\n<\/div>\n\n<\/dl>\n<\/div><\/details><\/div>\n<\/div>\n\n\n\n
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Script (click to open)<\/summary>
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\/\/ GraalJS standard mode Script Script (engine type: 3)\n\/\/ cf. 'engine type: 2': "GraalJS Nashorn compatible mode" (renamed from "GraalJS" at 20230526)\n\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 numPocketModels     = configs.getObject( "SelectConfB1" );      \/\/ NotRequired\nconst strPocketModelsTsv  = configs.getObject( "SelectConfB3" );      \/\/ 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\n\/\/\/\/\/\/ == Calculating \/ \u6f14\u7b97 ==\n\n\/\/\/\/ OpenAI API > Documentation > API REFERENCE > Models > List models\n\/\/\/\/ https:\/\/platform.openai.com\/docs\/api-reference\/models\/list\n\n\/\/\/ prepare request1\nlet request1Uri = "https:\/\/api.openai.com\/v1\/models";\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\n\/\/\/ try request1\nconst response1     = request1.get( 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\/* engine.log( response1Body ); \/\/ debug\n{\n  "data": [\n    {...},\n    {\n      "id": "gpt-3.5-turbo",\n      "object": "model",\n      "created": 1677610602,\n      "owned_by": "openai",\n      "permission": [\n        {\n          "id": "modelperm-ILldYg889l2lED1b99xWEfey",\n          "object": "model_permission",\n          "created": 1689885359,\n          "allow_create_engine": false,\n          "allow_sampling": true,\n          "allow_logprobs": true,\n          "allow_search_indices": false,\n          "allow_view": true,\n          "allow_fine_tuning": false,\n          "organization": "*",\n          "group": null,\n          "is_blocking": false\n        }\n      ],\n      "root": "gpt-3.5-turbo",\n      "parent": null\n    },\n    {\n      "id": "curie:ft-questetra-2023-07-26-10-23-43",\n      "object": "model",\n      "created": 1690367023,\n      "owned_by": "questetra",\n      "permission": [\n        {\n          "id": "snapperm-JrqscbqEqor5uPKpW2b7g9uE",\n          "object": "model_permission",\n          "created": 1690367023,\n          "allow_create_engine": true,\n          "allow_sampling": true,\n          "allow_logprobs": true,\n          "allow_search_indices": false,\n          "allow_view": true,\n          "allow_fine_tuning": true,\n          "organization": "org-xxxxxyyyyyzzzzzXXXXXYYYY",\n          "group": null,\n          "is_blocking": false\n        }\n      ],\n      "root": "curie:2020-05-03",\n      "parent": "curie:2020-05-03"\n    },\n    {\n      "id": "curie:ft-questetra-2023-07-26-12-16-05",\n      "object": "model",\n      "created": 1690373765,\n      "owned_by": "questetra",\n      "permission": [\n        {\n          "id": "snapperm-ZntlMpN2Xu1HfmTx5T5Uftla",\n          "object": "model_permission",\n          "created": 1690373765,\n          "allow_create_engine": true,\n          "allow_sampling": true,\n          "allow_logprobs": true,\n          "allow_search_indices": false,\n          "allow_view": true,\n          "allow_fine_tuning": true,\n          "organization": "org-xxxxxyyyyyzzzzzXXXXXYYYY",\n          "group": null,\n          "is_blocking": false\n        }\n      ],\n      "root": "curie:2020-05-03",\n      "parent": "curie:2020-05-03"\n    }\n  ]\n}\n*\/\n\n\/\/\/ parse response1\nconst response1Obj = JSON.parse( response1Body );\nlet numModels = response1Obj?.data?.length ?? 0;\nlet arrModelsData = [];\nfor ( let i = 0; i < numModels; i++ ) { \/\/ Model ID, owned_by,\n  const dateTmpCreated = new Date ( response1Obj.data[i].created * 1000 );\n  arrModelsData.push ( \n    dateTmpCreated.toISOString() + '\\t' +\n    response1Obj.data[i].owned_by + '\\t' +\n    response1Obj.data[i].root + '\\t' +\n    response1Obj.data[i].id\n  );\n}\n\n\n\n\n\/\/\/\/\/\/ == Data Updating \/ \u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u30c7\u30fc\u30bf\u3078\u306e\u4ee3\u5165 ==\nif( numPocketModels !== null ){\n  engine.setData( numPocketModels, new java.math.BigDecimal( numModels ) );\n}\nif( strPocketModelsTsv !== null ){\n  engine.setData( strPocketModelsTsv, arrModelsData.join('\\n') );\n}\n\n\n\n} \/\/\/\/\/\/\/\/ END "main()" \/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\n\n\n\n\/*\nNotes:\n- This "Automated Step" will list the MODELs available in the API.\n    - Including Fine-Tuned MODELs (FtMODELs).\n- If you place this "Automated Step" in the Workflow diagram, the request will be automatically sent every time the process token arrives.\n    - A request is automatically sent to the OpenAI API server. (REST API)\n    - The response from the OpenAI API server is automatically parsed.\n\nAPPENDIX\n- To activate a Workflow App that includes this Automated Step, "HTTP Authz Setting" is required\n    - Obtain a "Secret API Key" in advance.\n    - Set the key as the communication token in "Token Fixed Value"\n\n\nNotes-ja:\n- \u3053\u306e\uff3b\u81ea\u52d5\u5de5\u7a0b\uff3d\u306f\u3001API \u3067\u5229\u7528\u53ef\u80fd\u306a MODEL \u3092\u30ea\u30b9\u30c8\u3057\u307e\u3059\u3002\n    - \u30d5\u30a1\u30a4\u30f3\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0\u6e08\u307f\u306e MODEL (FtMODEL) \u3082\u542b\u307e\u308c\u307e\u3059\u3002\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\u304c\u5230\u9054\u3059\u308b\u5ea6\u306b\u30ea\u30af\u30a8\u30b9\u30c8\u304c\u81ea\u52d5\u9001\u4fe1\u3055\u308c\u307e\u3059\u3002\n    - OpenAI API \u30b5\u30fc\u30d0\u306b\u5bfe\u3057\u3066\u30ea\u30af\u30a8\u30b9\u30c8\u304c\u81ea\u52d5\u9001\u51fa\u3055\u308c\u307e\u3059\u3002\uff08REST API\u901a\u4fe1\uff09\n    - OpenAI API \u30b5\u30fc\u30d0\u304b\u3089\u306e\u30ec\u30b9\u30dd\u30f3\u30b9\u304c\u81ea\u52d5\u4fdd\u5b58\u89e3\u6790\u3055\u308c\u307e\u3059\u3002\n\nAPPENDIX-ja\n- \u3053\u306e\uff3b\u30a2\u30c9\u30aa\u30f3\u81ea\u52d5\u5de5\u7a0b\uff3d\u3092\u542b\u3080\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u30a2\u30d7\u30ea\u3092\u904b\u7528\u3059\u308b\u306b\u306f\uff3bHTTP \u8a8d\u8a3c\u8a2d\u5b9a\uff3d\u304c\u5fc5\u8981\u3067\u3059\u3002\n    - \u3042\u3089\u304b\u3058\u3081 "Secret API Key" \u3092\u53d6\u5f97\u3057\u3066\u304a\u3044\u3066\u304f\u3060\u3055\u3044\u3002\n    - "Secret API Key" \u3092\u901a\u4fe1\u30c8\u30fc\u30af\u30f3\u3068\u3057\u3066\u30bb\u30c3\u30c8\u3057\u307e\u3059\u3002\uff3b\u30c8\u30fc\u30af\u30f3\u76f4\u63a5\u6307\u5b9a\uff3d\n*\/\n\n<\/code><\/pre><\/div>\n<\/div><\/details><\/div>\n<\/div>\n\n\n\n
Download<\/span><\/h3>\n\n\n\n