feat: cortex post-install script - init silently on install

README.md

@@ -68,12 +68,7 @@ To install Cortex CLI, follow the steps below:
 npm i -g @janhq/cortex
 ```
 
-2. Initialize a compatible engine:
-``` bash
-cortex init
-```
-
-3. Download a GGUF model from Hugging Face:
+2. Download a GGUF model from Hugging Face:
 ``` bash
 # Pull a model most compatible with your hardware
 cortex pull llama3
@@ -84,12 +79,12 @@ cortex pull llama3:7b
 # Pull a model with the HuggingFace `model_id`
 cortex pull microsoft/Phi-3-mini-4k-instruct-gguf
 ```
-4. Load the model:
+3. Load the model:
 ``` bash
 cortex models start llama3:7b
 ```
 
-5. Start chatting with the model:
+4. Start chatting with the model:
 ``` bash
 cortex chat tell me a joke
 ```

cortex-js/README.md

@@ -68,12 +68,7 @@ To install Cortex CLI, follow the steps below:
 npm i -g @janhq/cortex
 ```
 
-2. Initialize a compatible engine:
-``` bash
-cortex init
-```
-
-3. Download a GGUF model from Hugging Face:
+2. Download a GGUF model from Hugging Face:
 ``` bash
 # Pull a model most compatible with your hardware
 cortex pull llama3
@@ -84,12 +79,12 @@ cortex pull llama3:7b
 # Pull a model with the HuggingFace `model_id`
 cortex pull microsoft/Phi-3-mini-4k-instruct-gguf
 ```
-4. Load the model:
+3. Load the model:
 ``` bash
 cortex models start llama3:7b
 ```
 
-5. Start chatting with the model:
+4. Start chatting with the model:
 ``` bash
 cortex chat tell me a joke
 ```

cortex-js/package.json

@@ -26,7 +26,8 @@
     "test:debug": "node --inspect-brk -r tsconfig-paths/register -r ts-node/register node_modules/.bin/jest --runInBand",
     "test:e2e": "jest --config ./test/jest-e2e.json",
     "typeorm": "typeorm-ts-node-esm",
-    "build:dev": "npx nest build && chmod +x ./dist/src/command.js && npm link"
+    "build:dev": "npx nest build && chmod +x ./dist/src/command.js && npm link",
+    "postinstall": "cortex init -s"
   },
   "dependencies": {
     "@huggingface/gguf": "^0.1.5",

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

@@ -1,4 +1,9 @@
-import { CommandRunner, InquirerService, SubCommand } from 'nest-commander';
+import {
+  CommandRunner,
+  InquirerService,
+  SubCommand,
+  Option,
+} from 'nest-commander';
 import { InitCliUsecases } from './usecases/init.cli.usecases';
 import { InitOptions } from './types/init-options.interface';
 
@@ -16,6 +21,38 @@ export class InitCommand extends CommandRunner {
   }
 
   async run(input: string[], options?: InitOptions): Promise<void> {
+    if (options?.silent) {
+      return this.initSilently(input);
+    } else {
+      return this.initPrompts(input, options);
+    }
+  }
+
+  private initSilently = async (input: string[], options: InitOptions = {}) => {
+    const version = input[0] ?? 'latest';
+    if (process.platform === 'darwin') {
+      const engineFileName = this.initUsecases.parseEngineFileName(options);
+      return this.initUsecases.installEngine(engineFileName, version);
+    }
+    // If Nvidia Driver is installed -> GPU
+    options.runMode = (await this.initUsecases.checkNvidiaGPUExist())
+      ? 'GPU'
+      : 'CPU';
+    // CPU Instructions detection
+    options.gpuType = 'Nvidia';
+    options.installCuda = 'Yes';
+    options.instructions = await this.initUsecases.detectInstructions();
+    const engineFileName = this.initUsecases.parseEngineFileName(options);
+    return this.initUsecases.installEngine(engineFileName, version);
+  };
+
+  /**
+   * Manual initalization
+   * To setup cortex's dependencies
+   * @param input
+   * @param options GPU | CPU / Nvidia | Others (Vulkan) / AVX | AVX2 | AVX512
+   */
+  private initPrompts = async (input: string[], options?: InitOptions) => {
     options = await this.inquirerService.ask(
       'init-run-mode-questions',
       options,
@@ -33,5 +70,14 @@ export class InitCommand extends CommandRunner {
     if (options.installCuda === 'Yes') {
       await this.initUsecases.installCudaToolkitDependency(options);
     }
+  };
+
+  @Option({
+    flags: '-s, --silent',
+    description: 'Init without asking questions',
+    defaultValue: false,
+  })
+  parseSilent() {
+    return true;
   }
 }

cortex-js/src/infrastructure/commanders/types/init-options.interface.ts

@@ -4,4 +4,5 @@ export interface InitOptions {
   instructions?: 'AVX' | 'AVX2' | 'AVX512' | undefined;
   cudaVersion?: '11' | '12';
   installCuda?: 'Yes' | string;
+  silent?: boolean;
 }

cortex-js/src/infrastructure/commanders/usecases/init.cli.usecases.ts

@@ -9,11 +9,13 @@ import { Injectable } from '@nestjs/common';
 import { firstValueFrom } from 'rxjs';
 import { FileManagerService } from '@/file-manager/file-manager.service';
 import { rm } from 'fs/promises';
+import { exec } from 'child_process';
 
 @Injectable()
 export class InitCliUsecases {
-  CORTEX_RELEASES_URL = 'https://api.github.com/repos/janhq/cortex/releases';
-  CUDA_DOWNLOAD_URL =
+  private readonly CORTEX_RELEASES_URL =
+    'https://api.github.com/repos/janhq/cortex/releases';
+  private readonly CUDA_DOWNLOAD_URL =
     'https://catalog.jan.ai/dist/cuda-dependencies/<version>/<platform>/cuda.tar.gz';
 
   constructor(
@@ -109,7 +111,7 @@ export class InitCliUsecases {
     await rm(destination, { force: true });
   };
 
-  parseEngineFileName = (options: InitOptions) => {
+  parseEngineFileName = (options?: InitOptions) => {
     const platform =
       process.platform === 'win32'
         ? 'windows'
@@ -118,12 +120,14 @@ export class InitCliUsecases {
           : process.platform;
     const arch = process.arch === 'arm64' ? process.arch : 'amd64';
     const cudaVersion =
-      options.runMode === 'GPU'
+      options?.runMode === 'GPU'
         ? options.gpuType === 'Nvidia'
           ? '-cuda-' + (options.cudaVersion === '11' ? '11-7' : '12-0')
           : '-vulkan'
         : '';
-    const instructions = options.instructions ? `-${options.instructions}` : '';
+    const instructions = options?.instructions
+      ? `-${options.instructions}`
+      : '';
     const engineName = `${platform}-${arch}${instructions.toLowerCase()}${cudaVersion}`;
     return `${engineName}.tar.gz`;
   };
@@ -173,10 +177,6 @@ export class InitCliUsecases {
     return undefined; // No CUDA Toolkit found
   };
 
-  checkFileExistenceInPaths = (file: string, paths: string[]): boolean => {
-    return paths.some((p) => existsSync(join(p, file)));
-  };
-
   installCudaToolkitDependency = async (options: InitOptions) => {
     const platform = process.platform === 'win32' ? 'windows' : 'linux';
 
@@ -232,4 +232,61 @@ export class InitCliUsecases {
     }
     await rm(destination, { force: true });
   };
+
+  // Function to check for NVIDIA GPU
+  checkNvidiaGPUExist = (): Promise<boolean> => {
+    return new Promise<boolean>((resolve) => {
+      // Execute the nvidia-smi command
+      exec('nvidia-smi', (error) => {
+        if (error) {
+          // If there's an error, it means nvidia-smi is not installed or there's no NVIDIA GPU
+          console.log('NVIDIA GPU not detected or nvidia-smi not installed.');
+          resolve(false);
+        } else {
+          // If the command executes successfully, NVIDIA GPU is present
+          console.log('NVIDIA GPU detected.');
+          resolve(true);
+        }
+      });
+    });
+  };
+
+  detectInstructions = (): Promise<'AVX' | 'AVX2' | 'AVX512' | undefined> => {
+    return new Promise<'AVX' | 'AVX2' | 'AVX512' | undefined>((res) => {
+      // Execute the cpuinfo command
+
+      exec(
+        join(
+          __dirname,
+          `../../../../bin/cpuinfo${process.platform !== 'linux' ? '.exe' : ''}`,
+        ),
+        (error, stdout) => {
+          if (error) {
+            // If there's an error, it means lscpu is not installed
+            console.log('CPUInfo is not installed.');
+            res('AVX');
+          } else {
+            // If the command executes successfully, parse the output to detect CPU instructions
+            if (stdout.includes('"AVX512": "true"')) {
+              console.log('AVX-512 instructions detected.');
+              res('AVX512');
+            } else if ('"AVX2": "true"') {
+              console.log('AVX2 instructions detected.');
+              res('AVX2');
+            } else {
+              console.log('AVXs instructions detected.');
+              res('AVX');
+            }
+          }
+        },
+      );
+    });
+  };
+
+  private checkFileExistenceInPaths = (
+    file: string,
+    paths: string[],
+  ): boolean => {
+    return paths.some((p) => existsSync(join(p, file)));
+  };
 }