OpenAI #FtMODEL: Delete

// GraalJS standard mode Script Script (engine type: 3)
// cf. 'engine type: 2': "GraalJS Nashorn compatible mode" (renamed from "GraalJS" at 20230526)


//////// START "main()" /////////////////////////////////////////////////////////////////

main();
function main(){ 

////// == Config Retrieving / 工程コンフィグの参照 ==
const strAuthzSetting     = configs.get( "AuthzConfU1" );             /// REQUIRED
  engine.log( " AutomatedTask Config: Authz Setting: " + strAuthzSetting );
const strOrgId            = configs.get( "StrConfU2" );               // NotRequired
  engine.log( " AutomatedTask Config: OpenAI-Organization: " + strOrgId );
const strModelId            = configs.get( "StrConfA1" );             /// REQUIRED
  if( strModelId          === "" ){
    throw new Error( "\n AutomatedTask ConfigError:" +
                     " Config {A1: MODEL Id} must be non-empty string \n" );
  }



////// == Data Retrieving / ワークフローデータの参照 ==
// (Nothing. Retrieved via Expression Language in Config Retrieving)



////// == Calculating / 演算 ==

//// OpenAI API > Documentation > API REFERENCE > Fine-tunes > Delete fine-tune model
//// https://platform.openai.com/docs/api-reference/fine-tunes/delete-model

/// prepare request1
let request1Uri = "https://api.openai.com/v1/models/" + strModelId;
let request1 = httpClient.begin(); // HttpRequestWrapper
    request1 = request1.authSetting( strAuthzSetting ); // with "Authorization: Bearer XX"
    if ( strOrgId !== "" ){
      request1 = request1.header( "OpenAI-Organization", strOrgId );
    }

/// try request1
const response1     = request1.delete( request1Uri ); // HttpResponseWrapper
engine.log( " AutomatedTask ApiRequest1 Start: " + request1Uri );
const response1Code = response1.getStatusCode() + ""; // JavaNum to string
const response1Body = response1.getResponseAsString();
engine.log( " AutomatedTask ApiResponse1 Status: " + response1Code );
if( response1Code !== "200"){
  throw new Error( "\n AutomatedTask UnexpectedResponseError: " +
                    response1Code + "\n" + response1Body + "\n" );
}

/* engine.log( response1Body ); // debug
{
  "id": "curie:ft-questetra-2023-07-26-10-23-43",
  "object": "model",
  "deleted": true
}
*/

/// parse response1
const response1Obj = JSON.parse( response1Body );
engine.log( " AutomatedTask OpenAI #FtModel deleted " + response1Obj.id );



////// == Data Updating / ワークフローデータへの代入 ==
// (Nothing)



} //////// END "main()" /////////////////////////////////////////////////////////////////



/*
Notes:
- This "Automated Step" will delete the fine-tuned MODEL (FtMODEL) by FtMODEL_ID.
    - Example of FtMODEL ID: "curie:ft-acmeco-2021-03-03-21-44-20"
- If you place this "Automated Step" in the Workflow diagram, the request will be automatically sent every time the process token arrives.
    - A request is automatically sent to the OpenAI API server. (REST API)
    - The response from the OpenAI API server is automatically parsed.

APPENDIX
- To activate a Workflow App that includes this Automated Step, "HTTP Authz Setting" is required
    - Obtain a "Secret API Key" in advance.
    - Set the key as the communication token in "Token Fixed Value"


Notes-ja:
- この［自動工程］は、FtMODEL_ID で FtMODEL （ファインチューン済みMODEL）を削除します。
    - Example of FtMODEL ID: "curie:ft-acmeco-2021-03-03-21-44-20"
- この［自動工程］をワークフロー図に配置すれば、案件が到達する度にリクエストが自動送信されます。
    - OpenAI API サーバに対してリクエストが自動送出されます。（REST API通信）
    - OpenAI API サーバからのレスポンスが自動保存解析されます。

APPENDIX-ja
- この［アドオン自動工程］を含むワークフローアプリを運用するには［HTTP 認証設定］が必要です。
    - あらかじめ "Secret API Key" を取得しておいてください。
    - "Secret API Key" を通信トークンとしてセットします。［トークン直接指定］
*/