fix: lint

cortex-js/src/infrastructure/commanders/chat.command.ts

@@ -93,7 +93,7 @@ export class ChatCommand extends BaseCommand {
     ) {
       console.log('Downloading engine...');
       await this.cortex.engines.init(engine);
-      await downloadProgress(this.cortex, undefined, DownloadType.Engine)
+      await downloadProgress(this.cortex, undefined, DownloadType.Engine);
     }
 
     if (!message) options.attach = true;
@@ -108,13 +108,13 @@ export class ChatCommand extends BaseCommand {
     );
 
     const preset = await this.fileService.getPreset(options.preset);
-      
+
     return this.chatClient.chat(
-        modelId,
-        options.threadId,
-        message, // Accept both message from inputs or arguments
-        preset ? preset : {},
-      )
+      modelId,
+      options.threadId,
+      message, // Accept both message from inputs or arguments
+      preset ? preset : {},
+    );
   }
 
   modelInquiry = async (models: Cortex.Model[]) => {

cortex-js/src/infrastructure/commanders/cortex-command.commander.ts

@@ -84,10 +84,7 @@ export class CortexCommand extends CommandRunner {
     return this.startServer(showLogs, dataFolderPath);
   }
 
-  private async startServer(
-    attach: boolean,
-    dataFolderPath?: string,
-  ) {
+  private async startServer(attach: boolean, dataFolderPath?: string) {
     const config = await this.fileManagerService.getConfig();
     try {
       const startEngineSpinner = ora('Starting Cortex engine...');
@@ -119,9 +116,13 @@ export class CortexCommand extends CommandRunner {
       } else {
         await this.cortexUseCases.startServerDetached(this.host, this.port);
       }
-      console.log(chalk.blue(`Started server at http://${this.host}:${this.port}`));
       console.log(
-        chalk.blue(`API Playground available at http://${this.host}:${this.port}/api`),
+        chalk.blue(`Started server at http://${this.host}:${this.port}`),
+      );
+      console.log(
+        chalk.blue(
+          `API Playground available at http://${this.host}:${this.port}/api`,
+        ),
       );
       await this.fileManagerService.writeConfigFile({
         ...config,

cortex-js/src/infrastructure/commanders/services/chat-client.ts

@@ -55,7 +55,14 @@ export class ChatClient {
     });
 
     rl.on('line', (input) =>
-      this.sendCompletionMessage(input, messages, modelId, thread.id, rl, settings),
+      this.sendCompletionMessage(
+        input,
+        messages,
+        modelId,
+        thread.id,
+        rl,
+        settings,
+      ),
     );
   }
 

cortex-js/src/infrastructure/commanders/test/helpers.command.spec.ts

@@ -97,11 +97,9 @@ describe('Helper commands', () => {
     'Show stop running models',
     async () => {
       // const tableMock = stubMethod(console, 'table');
-
       // const logMock = stubMethod(console, 'log');
       // await CommandTestFactory.run(commandInstance, ['stop']);
       // await CommandTestFactory.run(commandInstance, ['ps']);
-
       // expect(logMock.firstCall?.args[0]).toEqual('API server stopped');
       // expect(tableMock.firstCall?.args[0]).toBeInstanceOf(Array);
       // expect(tableMock.firstCall?.args[0].length).toEqual(0);
@@ -114,7 +112,6 @@ describe('Helper commands', () => {
     // expect(stdoutSpy.firstCall?.args).toBeInstanceOf(Array);
     // expect(stdoutSpy.firstCall?.args.length).toBe(1);
     // expect(stdoutSpy.firstCall?.args[0]).toContain('display help for command');
-
     // expect(exitSpy.callCount).toBeGreaterThan(1);
     // expect(exitSpy.firstCall?.args[0]).toBe(0);
   });

cortex-js/src/infrastructure/commanders/types/model-tokenizer.interface.ts

@@ -2,5 +2,5 @@ export interface ModelMetadata {
   stopWord?: string;
   promptTemplate: string;
   version: number;
-  name?: string
+  name?: string;
 }

cortex-js/src/infrastructure/constants/benchmark.ts

@@ -28,7 +28,7 @@ export const defaultBenchmarkConfiguration: BenchmarkConfig = {
     min: 1024,
     max: 2048,
     samples: 10,
-  },  
+  },
   output: 'table',
   hardware: ['cpu', 'gpu', 'psu', 'chassis', 'ram'],
   concurrency: 1,

cortex-js/src/infrastructure/controllers/engines.controller.ts

@@ -80,15 +80,19 @@ export class EnginesController {
     description: 'The unique identifier of the engine.',
   })
   @Post(':name(*)/init')
-  initialize(@Param('name') name: string, @Body() body: InitEngineDto | undefined, @Res() res: Response) {
-    try{
-    this.initUsescases.installEngine(body, name, true);
-    res.json({
+  initialize(
+    @Param('name') name: string,
+    @Body() body: InitEngineDto | undefined,
+    @Res() res: Response,
+  ) {
+    try {
+      this.initUsescases.installEngine(body, name, true);
+      res.json({
         message: 'Engine initialization started successfully.',
-    })
-  } catch (error) {
-    res.status(400).send(error.message);
-  }
+      });
+    } catch (error) {
+      res.status(400).send(error.message);
+    }
   }
 
   @HttpCode(200)

cortex-js/src/infrastructure/controllers/models.controller.ts

@@ -138,10 +138,11 @@ export class ModelsController {
   @Post(':modelId(*)/pull')
   pullModel(
     @Param('modelId') modelId: string,
-    @Body() body?: {
+    @Body()
+    body?: {
       fileName?: string;
       persistedModelId?: string;
-    }
+    },
   ) {
     const { fileName, persistedModelId } = body || {};
     this.modelsUsecases

cortex-js/src/infrastructure/controllers/system.controller.ts

@@ -51,7 +51,7 @@ export class SystemController {
   }
 
   @ApiOperation({
-    summary: "Get health status",
+    summary: 'Get health status',
     description: "Retrieves the health status of your Cortex's system.",
   })
   @HttpCode(200)

cortex-js/src/infrastructure/database/providers/assistant.providers.ts

@@ -4,7 +4,7 @@ import { Sequelize } from 'sequelize-typescript';
 export const assistantProviders = [
   {
     provide: 'ASSISTANT_REPOSITORY',
-    useFactory: async(sequelize: Sequelize) =>{
+    useFactory: async (sequelize: Sequelize) => {
       return sequelize.getRepository(AssistantEntity);
     },
     inject: ['DATA_SOURCE'],

cortex-js/src/infrastructure/database/providers/message.providers.ts

@@ -1,10 +1,10 @@
-import { MessageEntity } from "@/infrastructure/entities/message.entity";
-import { Sequelize } from "sequelize-typescript";
+import { MessageEntity } from '@/infrastructure/entities/message.entity';
+import { Sequelize } from 'sequelize-typescript';
 
 export const messageProviders = [
   {
     provide: 'MESSAGE_REPOSITORY',
-    useFactory: async(sequelize: Sequelize) =>{
+    useFactory: async (sequelize: Sequelize) => {
       return sequelize.getRepository(MessageEntity);
     },
     inject: ['DATA_SOURCE'],

cortex-js/src/infrastructure/database/providers/thread.providers.ts

@@ -4,10 +4,9 @@ import { Sequelize } from 'sequelize-typescript';
 export const threadProviders = [
   {
     provide: 'THREAD_REPOSITORY',
-    useFactory: async(sequelize: Sequelize) =>{
+    useFactory: async (sequelize: Sequelize) => {
       return sequelize.getRepository(ThreadEntity);
     },
     inject: ['DATA_SOURCE'],
   },
 ];
-

cortex-js/src/infrastructure/dtos/chat/chat-completion-message.dto.ts

@@ -2,13 +2,13 @@ import { IsString } from 'class-validator';
 import { ApiProperty } from '@nestjs/swagger';
 
 export class ChatCompletionMessage {
-  @ApiProperty({ description: 'The Content of the chat message.',  })
+  @ApiProperty({ description: 'The Content of the chat message.' })
   @IsString()
   content: string;
 
   @ApiProperty({
     description: 'The role of the entity in the chat completion.',
-    example: 'user'
+    example: 'user',
   })
   role: 'user' | 'assistant';
 }

cortex-js/src/infrastructure/dtos/chat/create-chat-completion.dto.ts

@@ -30,7 +30,7 @@ export class CreateChatCompletionDto {
   @ApiProperty({
     description:
       'Determines the format for output generation. If set to `true`, the output is generated continuously, allowing for real-time streaming of responses. If set to `false`, the output is delivered in a single JSON file.',
-      example: true,
+    example: true,
   })
   @IsOptional()
   @IsBoolean()
@@ -39,7 +39,7 @@ export class CreateChatCompletionDto {
   @ApiProperty({
     description:
       'Sets the upper limit on the number of tokens the model can generate in a single output.',
-      example: 4096,
+    example: 4096,
   })
   @IsOptional()
   @IsNumber()
@@ -48,7 +48,7 @@ export class CreateChatCompletionDto {
   @ApiProperty({
     description:
       'Defines specific tokens or phrases that signal the model to stop producing further output.',
-      example: ["End"],
+    example: ['End'],
   })
   @IsOptional()
   @IsArray()
@@ -57,7 +57,7 @@ export class CreateChatCompletionDto {
   @ApiProperty({
     description:
       'Modifies the likelihood of the model repeating the same words or phrases within a single output.',
-      example: 0.2,
+    example: 0.2,
   })
   @IsOptional()
   @IsNumber()
@@ -66,7 +66,7 @@ export class CreateChatCompletionDto {
   @ApiProperty({
     description:
       'Reduces the likelihood of repeating tokens, promoting novelty in the output.',
-      example: 0.6,
+    example: 0.6,
   })
   @IsOptional()
   @IsNumber()

cortex-js/src/infrastructure/dtos/chat/embeddings-response.dto.ts

@@ -15,13 +15,15 @@ export class EmbeddingsResponseDto {
   model: string;
 
   @ApiProperty({
-    description: 'The embedding vector represented as an array of floating-point numbers. ',
+    description:
+      'The embedding vector represented as an array of floating-point numbers. ',
     type: [Number],
   })
   embedding: [number];
 
   @ApiProperty({
-    description: 'Details of token usage, including prompt_tokens and total_tokens.',
+    description:
+      'Details of token usage, including prompt_tokens and total_tokens.',
     type: UsageDto,
   })
   usage: UsageDto;

cortex-js/src/infrastructure/dtos/messages/create-message.dto.ts

@@ -28,8 +28,8 @@ export class CreateMessageDto implements Partial<Message> {
     example: [
       {
         type: 'text',
-        data: 'Hello, how can I help you today?'
-      }
+        data: 'Hello, how can I help you today?',
+      },
     ],
     description: 'The content of the messages.',
   })
@@ -44,7 +44,8 @@ export class CreateMessageDto implements Partial<Message> {
 
   @ApiProperty({
     example: { urgency: 'high', tags: ['customer_support'] },
-    description: 'Optional dictionary for additional unstructured message information.',
+    description:
+      'Optional dictionary for additional unstructured message information.',
   })
   metadata?: Record<string, unknown>;
 
@@ -55,4 +56,3 @@ export class CreateMessageDto implements Partial<Message> {
   @IsString()
   type?: string;
 }
-

cortex-js/src/infrastructure/dtos/models/create-model.dto.ts

@@ -12,7 +12,10 @@ import { ApiProperty, getSchemaPath } from '@nestjs/swagger';
 
 export class CreateModelDto implements Partial<Model> {
   // Cortex Meta
-  @ApiProperty({ description: 'The unique identifier of the model.', example: 'mistral' })
+  @ApiProperty({
+    description: 'The unique identifier of the model.',
+    example: 'mistral',
+  })
   @IsString()
   model: string;
 
@@ -21,7 +24,8 @@ export class CreateModelDto implements Partial<Model> {
   name?: string;
 
   @ApiProperty({
-    description: 'The URL sources from which the model downloaded or accessed.', example: ['https://huggingface.co/cortexso/mistral/tree/gguf'],
+    description: 'The URL sources from which the model downloaded or accessed.',
+    example: ['https://huggingface.co/cortexso/mistral/tree/gguf'],
     oneOf: [
       { type: 'array', items: { type: 'string' } },
       { $ref: getSchemaPath(ModelArtifactDto) },
@@ -33,16 +37,18 @@ export class CreateModelDto implements Partial<Model> {
   // Model Input / Output Syntax
   @ApiProperty({
     description:
-      "A predefined text or framework that guides the AI model's response generation.", example: `
-      You are an expert in {subject}. Provide a detailed and thorough explanation on the topic of {topic}.` 
+      "A predefined text or framework that guides the AI model's response generation.",
+    example: `
+      You are an expert in {subject}. Provide a detailed and thorough explanation on the topic of {topic}.`,
   })
   @IsOptional()
   @IsString()
   prompt_template?: string;
 
   @ApiProperty({
     description:
-      'Defines specific tokens or phrases that signal the model to stop producing further output.', example: ['End']
+      'Defines specific tokens or phrases that signal the model to stop producing further output.',
+    example: ['End'],
   })
   @IsOptional()
   @IsArray()
@@ -59,38 +65,43 @@ export class CreateModelDto implements Partial<Model> {
   max_tokens?: number;
 
   @ApiProperty({
-    description: 'Sets probability threshold for more relevant outputs.', example: 0.9
+    description: 'Sets probability threshold for more relevant outputs.',
+    example: 0.9,
   })
   @IsOptional()
   @IsNumber()
   top_p?: number;
 
   @ApiProperty({
-    description: "Influences the randomness of the model's output.", example: 0.7
+    description: "Influences the randomness of the model's output.",
+    example: 0.7,
   })
   @IsOptional()
   @IsNumber()
   temperature?: number;
 
   @ApiProperty({
     description:
-      'Modifies the likelihood of the model repeating the same words or phrases within a single output.', example: 0.5
+      'Modifies the likelihood of the model repeating the same words or phrases within a single output.',
+    example: 0.5,
   })
   @IsOptional()
   @IsNumber()
   frequency_penalty?: number;
 
   @ApiProperty({
     description:
-      'Reduces the likelihood of repeating tokens, promoting novelty in the output.', example: 0.6
+      'Reduces the likelihood of repeating tokens, promoting novelty in the output.',
+    example: 0.6,
   })
   @IsOptional()
   @IsNumber()
   presence_penalty?: number;
 
   @ApiProperty({
     description:
-      'Determines the format for output generation. If set to `true`, the output is generated continuously, allowing for real-time streaming of responses. If set to `false`, the output is delivered in a single JSON file.', example: true
+      'Determines the format for output generation. If set to `true`, the output is generated continuously, allowing for real-time streaming of responses. If set to `false`, the output is delivered in a single JSON file.',
+    example: true,
   })
   @IsOptional()
   @IsBoolean()