diff --git a/.github/scripts/rename-uninstaller.sh b/.github/scripts/rename-uninstaller.sh index 7d3992fd0..e20a55662 100644 --- a/.github/scripts/rename-uninstaller.sh +++ b/.github/scripts/rename-uninstaller.sh @@ -18,6 +18,7 @@ if [ ! -f "$FILE_PATH" ]; then fi # Perform the replacements +sed -i -e "s#Jan#Jan-$CHANNEL#g" "$FILE_PATH" sed -i -e "s#jan#jan-$CHANNEL#g" "$FILE_PATH" # Notify completion diff --git a/.github/workflows/jan-electron-linter-and-test.yml b/.github/workflows/jan-electron-linter-and-test.yml index b2105acb4..8cf5ebab4 100644 --- a/.github/workflows/jan-electron-linter-and-test.yml +++ b/.github/workflows/jan-electron-linter-and-test.yml @@ -44,16 +44,17 @@ jobs: - uses: actions/checkout@v3 with: ref: ${{ github.base_ref }} - - name: Use Node.js v20.9.0 + - name: Use Node.js 20.x uses: actions/setup-node@v3 with: - node-version: v20.9.0 + node-version: 20 - name: Install dependencies run: | + make config-yarn yarn - yarn build:core yarn build:joi + yarn build:core - name: Run test coverage run: yarn test:coverage @@ -66,7 +67,7 @@ jobs: test-on-macos: if: (github.event_name == 'pull_request' && github.event.pull_request.head.repo.full_name == github.repository) || github.event_name == 'push' || github.event_name == 'workflow_dispatch' - runs-on: [self-hosted, macOS, macos-desktop] + runs-on: macos-latest steps: - name: Getting the repo uses: actions/checkout@v3 @@ -78,6 +79,10 @@ jobs: with: node-version: 20 + - name: Set IS_TEST environment variable + run: | + echo "IS_TEST=true" >> $GITHUB_ENV + - name: 'Cleanup cache' continue-on-error: true run: | @@ -94,24 +99,19 @@ jobs: run: | echo "REPORT_PORTAL_DESCRIPTION=${{github.sha}})" >> $GITHUB_ENV - - name: 'Config report portal' - run: | - make update-playwright-config REPORT_PORTAL_URL=${{ secrets.REPORT_PORTAL_URL }} REPORT_PORTAL_API_KEY=${{ secrets.REPORT_PORTAL_API_KEY }} REPORT_PORTAL_PROJECT_NAME=${{ secrets.REPORT_PORTAL_PROJECT_NAME }} REPORT_PORTAL_LAUNCH_NAME="Jan App macos" REPORT_PORTAL_DESCRIPTION="${{env.REPORT_PORTAL_DESCRIPTION}}" + # - name: 'Config report portal' + # run: | + # make update-playwright-config REPORT_PORTAL_URL=${{ secrets.REPORT_PORTAL_URL }} REPORT_PORTAL_API_KEY=${{ secrets.REPORT_PORTAL_API_KEY }} REPORT_PORTAL_PROJECT_NAME=${{ secrets.REPORT_PORTAL_PROJECT_NAME }} REPORT_PORTAL_LAUNCH_NAME="Jan App macos" REPORT_PORTAL_DESCRIPTION="${{env.REPORT_PORTAL_DESCRIPTION}}" - name: Linter and test run: | - npm config set registry ${{ secrets.NPM_PROXY }} --global - yarn config set registry ${{ secrets.NPM_PROXY }} --global make test env: CSC_IDENTITY_AUTO_DISCOVERY: 'false' - # TURBO_API: '${{ secrets.TURBO_API }}' - # TURBO_TEAM: 'macos' - # TURBO_TOKEN: '${{ secrets.TURBO_TOKEN }}' test-on-macos-pr-target: if: github.event_name == 'pull_request' && github.event.pull_request.head.repo.full_name != github.repository - runs-on: [self-hosted, macOS, macos-desktop] + runs-on: macos-latest steps: - name: Getting the repo uses: actions/checkout@v3 @@ -131,8 +131,6 @@ jobs: - name: Linter and test run: | - npm config set registry https://registry.npmjs.org --global - yarn config set registry https://registry.npmjs.org --global make test env: CSC_IDENTITY_AUTO_DISCOVERY: 'false' @@ -174,24 +172,19 @@ jobs: run: | echo "REPORT_PORTAL_DESCRIPTION=${{github.sha}}" >> $GITHUB_ENV - - name: 'Config report portal' - shell: bash - run: | - make update-playwright-config REPORT_PORTAL_URL=${{ secrets.REPORT_PORTAL_URL }} REPORT_PORTAL_API_KEY=${{ secrets.REPORT_PORTAL_API_KEY }} REPORT_PORTAL_PROJECT_NAME=${{ secrets.REPORT_PORTAL_PROJECT_NAME }} REPORT_PORTAL_LAUNCH_NAME="Jan App Windows ${{ matrix.antivirus-tools }}" REPORT_PORTAL_DESCRIPTION="${{env.REPORT_PORTAL_DESCRIPTION}}" + # - name: 'Config report portal' + # shell: bash + # run: | + # make update-playwright-config REPORT_PORTAL_URL=${{ secrets.REPORT_PORTAL_URL }} REPORT_PORTAL_API_KEY=${{ secrets.REPORT_PORTAL_API_KEY }} REPORT_PORTAL_PROJECT_NAME=${{ secrets.REPORT_PORTAL_PROJECT_NAME }} REPORT_PORTAL_LAUNCH_NAME="Jan App Windows ${{ matrix.antivirus-tools }}" REPORT_PORTAL_DESCRIPTION="${{env.REPORT_PORTAL_DESCRIPTION}}" - name: Linter and test shell: powershell run: | - npm config set registry ${{ secrets.NPM_PROXY }} --global - yarn config set registry ${{ secrets.NPM_PROXY }} --global make test - # env: - # TURBO_API: '${{ secrets.TURBO_API }}' - # TURBO_TEAM: 'windows' - # TURBO_TOKEN: '${{ secrets.TURBO_TOKEN }}' + test-on-windows-pr: - if: (github.event_name == 'pull_request' && github.event.pull_request.head.repo.full_name == github.repository) - runs-on: windows-desktop-default-windows-security + if: (github.event_name == 'pull_request' && github.event.pull_request.head.repo.full_name == github.repository) || github.event_name == 'workflow_dispatch' + runs-on: windows-latest steps: - name: Getting the repo uses: actions/checkout@v3 @@ -199,7 +192,7 @@ jobs: fetch-depth: 0 - name: Installing node - uses: actions/setup-node@v1 + uses: actions/setup-node@v3 with: node-version: 20 @@ -222,25 +215,19 @@ jobs: run: | echo "REPORT_PORTAL_DESCRIPTION=${{github.event.after}}" >> $GITHUB_ENV - - name: 'Config report portal' - shell: bash - run: | - make update-playwright-config REPORT_PORTAL_URL=${{ secrets.REPORT_PORTAL_URL }} REPORT_PORTAL_API_KEY=${{ secrets.REPORT_PORTAL_API_KEY }} REPORT_PORTAL_PROJECT_NAME=${{ secrets.REPORT_PORTAL_PROJECT_NAME }} REPORT_PORTAL_LAUNCH_NAME="Jan App Windows" REPORT_PORTAL_DESCRIPTION="${{env.REPORT_PORTAL_DESCRIPTION}}" + # - name: 'Config report portal' + # shell: bash + # run: | + # make update-playwright-config REPORT_PORTAL_URL=${{ secrets.REPORT_PORTAL_URL }} REPORT_PORTAL_API_KEY=${{ secrets.REPORT_PORTAL_API_KEY }} REPORT_PORTAL_PROJECT_NAME=${{ secrets.REPORT_PORTAL_PROJECT_NAME }} REPORT_PORTAL_LAUNCH_NAME="Jan App Windows" REPORT_PORTAL_DESCRIPTION="${{env.REPORT_PORTAL_DESCRIPTION}}" - name: Linter and test shell: powershell run: | - npm config set registry ${{ secrets.NPM_PROXY }} --global - yarn config set registry ${{ secrets.NPM_PROXY }} --global make test - # env: - # TURBO_API: '${{ secrets.TURBO_API }}' - # TURBO_TEAM: 'windows' - # TURBO_TOKEN: '${{ secrets.TURBO_TOKEN }}' test-on-windows-pr-target: if: github.event_name == 'pull_request' && github.event.pull_request.head.repo.full_name != github.repository - runs-on: windows-desktop-default-windows-security + runs-on: windows-latest steps: - name: Getting the repo uses: actions/checkout@v3 @@ -268,12 +255,10 @@ jobs: - name: Linter and test shell: powershell run: | - npm config set registry https://registry.npmjs.org --global - yarn config set registry https://registry.npmjs.org --global make test test-on-ubuntu: - runs-on: [self-hosted, Linux, ubuntu-desktop] + runs-on: ubuntu-latest if: (github.event_name == 'pull_request' && github.event.pull_request.head.repo.full_name == github.repository) || github.event_name == 'push' || github.event_name == 'workflow_dispatch' steps: - name: Getting the repo @@ -302,22 +287,16 @@ jobs: run: | echo "REPORT_PORTAL_DESCRIPTION=${{github.sha}}" >> $GITHUB_ENV - - name: 'Config report portal' - shell: bash - run: | - make update-playwright-config REPORT_PORTAL_URL=${{ secrets.REPORT_PORTAL_URL }} REPORT_PORTAL_API_KEY=${{ secrets.REPORT_PORTAL_API_KEY }} REPORT_PORTAL_PROJECT_NAME=${{ secrets.REPORT_PORTAL_PROJECT_NAME }} REPORT_PORTAL_LAUNCH_NAME="Jan App Linux" REPORT_PORTAL_DESCRIPTION="${{env.REPORT_PORTAL_DESCRIPTION}}" + # - name: 'Config report portal' + # shell: bash + # run: | + # make update-playwright-config REPORT_PORTAL_URL=${{ secrets.REPORT_PORTAL_URL }} REPORT_PORTAL_API_KEY=${{ secrets.REPORT_PORTAL_API_KEY }} REPORT_PORTAL_PROJECT_NAME=${{ secrets.REPORT_PORTAL_PROJECT_NAME }} REPORT_PORTAL_LAUNCH_NAME="Jan App Linux" REPORT_PORTAL_DESCRIPTION="${{env.REPORT_PORTAL_DESCRIPTION}}" - name: Linter and test run: | export DISPLAY=$(w -h | awk 'NR==1 {print $2}') echo -e "Display ID: $DISPLAY" - npm config set registry ${{ secrets.NPM_PROXY }} --global - yarn config set registry ${{ secrets.NPM_PROXY }} --global make test - # env: - # TURBO_API: '${{ secrets.TURBO_API }}' - # TURBO_TEAM: 'linux' - # TURBO_TOKEN: '${{ secrets.TURBO_TOKEN }}' - uses: actions/upload-artifact@v4 if: always() @@ -327,7 +306,7 @@ jobs: retention-days: 2 coverage-check: - runs-on: [self-hosted, Linux, ubuntu-desktop] + runs-on: ubuntu-latest needs: base_branch_cov if: (github.event_name == 'pull_request' && github.event.pull_request.head.repo.full_name == github.repository) || github.event_name == 'push' || github.event_name == 'workflow_dispatch' steps: @@ -341,6 +320,9 @@ jobs: with: node-version: 20 + - name: Install yarn + run: npm install -g yarn + - name: 'Cleanup cache' continue-on-error: true run: | @@ -356,15 +338,9 @@ jobs: run: | export DISPLAY=$(w -h | awk 'NR==1 {print $2}') echo -e "Display ID: $DISPLAY" - npm config set registry ${{ secrets.NPM_PROXY }} --global - yarn config set registry ${{ secrets.NPM_PROXY }} --global make lint yarn build:test yarn test:coverage - # env: - # TURBO_API: '${{ secrets.TURBO_API }}' - # TURBO_TEAM: 'linux' - # TURBO_TOKEN: '${{ secrets.TURBO_TOKEN }}' - name: Generate Code Coverage report id: code-coverage @@ -377,7 +353,7 @@ jobs: show-annotations: 'warning' test-on-ubuntu-pr-target: - runs-on: [self-hosted, Linux, ubuntu-desktop] + runs-on: ubuntu-latest if: github.event_name == 'pull_request' && github.event.pull_request.head.repo.full_name != github.repository steps: - name: Getting the repo @@ -400,6 +376,4 @@ jobs: run: | export DISPLAY=$(w -h | awk 'NR==1 {print $2}') echo -e "Display ID: $DISPLAY" - npm config set registry https://registry.npmjs.org --global - yarn config set registry https://registry.npmjs.org --global make test diff --git a/.github/workflows/publish-npm-core.yml b/.github/workflows/publish-npm-core.yml index b6d400957..462dbdc8e 100644 --- a/.github/workflows/publish-npm-core.yml +++ b/.github/workflows/publish-npm-core.yml @@ -1,10 +1,10 @@ -name: Publish plugin models Package to npmjs +name: Publish core Package to npmjs on: push: tags: ["v[0-9]+.[0-9]+.[0-9]+-core"] - paths: ["core/**"] + paths: ["core/**", ".github/workflows/publish-npm-core.yml"] pull_request: - paths: ["core/**"] + paths: ["core/**", ".github/workflows/publish-npm-core.yml"] jobs: build-and-publish-plugins: environment: production @@ -45,7 +45,7 @@ jobs: node-version: "20.x" registry-url: "https://registry.npmjs.org" - - run: cd core && yarn install && yarn build + - run: cd core && corepack enable && corepack prepare yarn@4.5.3 --activate && yarn --version && yarn config set -H enableImmutableInstalls false && yarn install && yarn build - run: cd core && yarn publish --access public if: github.event_name == 'push' diff --git a/.github/workflows/publish-npm-joi.yml b/.github/workflows/publish-npm-joi.yml index c943468d8..867ad80fe 100644 --- a/.github/workflows/publish-npm-joi.yml +++ b/.github/workflows/publish-npm-joi.yml @@ -1,10 +1,10 @@ -name: Publish plugin models Package to npmjs +name: Publish joi Package to npmjs on: push: tags: ["v[0-9]+.[0-9]+.[0-9]+-joi"] - paths: ["joi/**"] + paths: ["joi/**", ".github/workflows/publish-npm-joi.yml"] pull_request: - paths: ["joi/**"] + paths: ["joi/**", ".github/workflows/publish-npm-joi.yml"] jobs: build-and-publish-plugins: environment: production @@ -45,7 +45,7 @@ jobs: node-version: "20.x" registry-url: "https://registry.npmjs.org" - - run: cd joi && yarn install && yarn build + - run: cd joi && corepack enable && corepack prepare yarn@4.5.3 --activate && yarn --version && yarn config set -H enableImmutableInstalls false && yarn install && yarn build - run: cd joi && yarn publish --access public if: github.event_name == 'push' diff --git a/.gitignore b/.gitignore index ab815678a..bbf7c059f 100644 --- a/.gitignore +++ b/.gitignore @@ -8,7 +8,6 @@ error.log node_modules *.tgz !charts/server/charts/*.tgz -yarn.lock dist build .DS_Store @@ -48,3 +47,7 @@ coverage test_results.html *.tsbuildinfo electron/shared/** + +# docs +docs/yarn.lock +electron/.version.bak diff --git a/.yarnrc.yml b/.yarnrc.yml new file mode 100644 index 000000000..74febbee3 --- /dev/null +++ b/.yarnrc.yml @@ -0,0 +1,3 @@ +nmHoistingLimits: workspaces +nodeLinker: node-modules +checksumBehavior: update diff --git a/Makefile b/Makefile index e0750f306..0c2a2ef8a 100644 --- a/Makefile +++ b/Makefile @@ -10,23 +10,23 @@ REPORT_PORTAL_DESCRIPTION ?= "Jan App report" all: @echo "Specify a target to run" -# Builds the UI kit -build-joi: -ifeq ($(OS),Windows_NT) - cd joi && yarn config set network-timeout 300000 && yarn install && yarn build -else - cd joi && yarn install && yarn build -endif +# Config yarn version + +config-yarn: + corepack enable + corepack prepare yarn@4.5.3 --activate + yarn --version + yarn config set -H enableImmutableInstalls false # Installs yarn dependencies and builds core and extensions -install-and-build: build-joi +install-and-build: config-yarn ifeq ($(OS),Windows_NT) - yarn config set network-timeout 300000 + echo "skip" endif - yarn global add turbo@1.13.2 + yarn install + yarn build:joi yarn build:core yarn build:server - yarn install yarn build:extensions check-file-counts: install-and-build @@ -117,9 +117,8 @@ build: check-file-counts clean: ifeq ($(OS),Windows_NT) - -powershell -Command "Get-ChildItem -Path . -Include node_modules, .next, dist, build, out, .turbo -Recurse -Directory | Remove-Item -Recurse -Force" - -powershell -Command "Get-ChildItem -Path . -Include package-lock.json -Recurse -File | Remove-Item -Recurse -Force" - -powershell -Command "Get-ChildItem -Path . -Include yarn.lock -Recurse -File | Remove-Item -Recurse -Force" + -powershell -Command "Get-ChildItem -Path . -Include node_modules, .next, dist, build, out, .turbo, .yarn -Recurse -Directory | Remove-Item -Recurse -Force" + -powershell -Command "Get-ChildItem -Path . -Include package-lock.json, tsconfig.tsbuildinfo -Recurse -File | Remove-Item -Recurse -Force" -powershell -Command "Remove-Item -Recurse -Force ./pre-install/*.tgz" -powershell -Command "Remove-Item -Recurse -Force ./extensions/*/*.tgz" -powershell -Command "Remove-Item -Recurse -Force ./electron/pre-install/*.tgz" @@ -131,8 +130,8 @@ else ifeq ($(shell uname -s),Linux) find . -name "build" -type d -exec rm -rf '{}' + find . -name "out" -type d -exec rm -rf '{}' + find . -name ".turbo" -type d -exec rm -rf '{}' + + find . -name ".yarn" -type d -exec rm -rf '{}' + find . -name "packake-lock.json" -type f -exec rm -rf '{}' + - find . -name "yarn.lock" -type f -exec rm -rf '{}' + find . -name "package-lock.json" -type f -exec rm -rf '{}' + rm -rf ./pre-install/*.tgz rm -rf ./extensions/*/*.tgz @@ -146,8 +145,8 @@ else find . -name "build" -type d -exec rm -rf '{}' + find . -name "out" -type d -exec rm -rf '{}' + find . -name ".turbo" -type d -exec rm -rf '{}' + + find . -name ".yarn" -type d -exec rm -rf '{}' + find . -name "package-lock.json" -type f -exec rm -rf '{}' + - find . -name "yarn.lock" -type f -exec rm -rf '{}' + rm -rf ./pre-install/*.tgz rm -rf ./extensions/*/*.tgz rm -rf ./electron/pre-install/*.tgz diff --git a/ai.menlo.jan.desktop b/ai.menlo.jan.desktop new file mode 100644 index 000000000..779bffb27 --- /dev/null +++ b/ai.menlo.jan.desktop @@ -0,0 +1,9 @@ +[Desktop Entry] +Name=Jan +Comment=Local AI Assistant that runs 100% offline +Exec=run.sh +Icon=ai.menlo.jan +Type=Application +Categories=Development; +Keywords=AI;Assistant;LLM;ChatGPT;Local;Offline; +StartupNotify=true \ No newline at end of file diff --git a/ai.menlo.jan.metainfo.xml b/ai.menlo.jan.metainfo.xml new file mode 100644 index 000000000..713471d26 --- /dev/null +++ b/ai.menlo.jan.metainfo.xml @@ -0,0 +1,42 @@ + + + ai.menlo.jan + FSFAP + AGPL-3.0-only + Jan + Local AI Assistant that runs 100% offline on your device + + +

+ Jan is a ChatGPT-alternative that runs 100% offline on your device. Our goal is to make it easy for anyone to download and run LLMs and use AI with full control and privacy. +

+

Features:

+ + + + ai.menlo.jan.desktop + + + + https://catalog.jan.ai/flatpak/demo.gif + + + + https://jan.ai/ + https://github.com/janhq/jan/issues + + + + + + +

Latest stable release of Jan AI

+ + + + \ No newline at end of file diff --git a/core/package.json b/core/package.json index ac3305014..d63fedb98 100644 --- a/core/package.json +++ b/core/package.json @@ -1,15 +1,16 @@ { "name": "@janhq/core", "version": "0.1.10", - "description": "Jan app core lib", + "description": "Core library for the Jan AI application framework", "keywords": [ "jan", "core" ], "homepage": "https://jan.ai", "license": "AGPL-3.0", - "main": "dist/core.es5.js", - "module": "dist/core.cjs.js", + "browser": "dist/index.js", + "main": "dist/index.js", + "module": "dist/node/index.cjs.js", "typings": "dist/types/index.d.ts", "files": [ "dist", @@ -17,13 +18,13 @@ ], "author": "Jan ", "exports": { - ".": "./dist/core.es5.js", + ".": "./dist/index.js", "./node": "./dist/node/index.cjs.js" }, "typesVersions": { "*": { ".": [ - "./dist/core.es5.js.map", + "./dist/index.js.map", "./dist/types/index.d.ts" ], "node": [ @@ -36,25 +37,25 @@ "lint": "tslint --project tsconfig.json -t codeFrame 'src/**/*.ts' 'test/**/*.ts'", "test": "jest", "prebuild": "rimraf dist", - "build": "tsc --module commonjs && rollup -c rollup.config.ts", - "start": "rollup -c rollup.config.ts -w" + "build": "tsc -p . && rolldown -c rolldown.config.mjs" }, "devDependencies": { - "@rollup/plugin-replace": "^5.0.5", - "@types/jest": "^29.5.12", - "@types/node": "^20.11.4", + "@npmcli/arborist": "^7.1.0", + "@types/jest": "^29.5.14", + "@types/node": "^22.10.0", + "@types/pacote": "^11.1.7", + "@types/request": "^2.48.12", + "electron": "33.2.1", "eslint": "8.57.0", "eslint-plugin-jest": "^27.9.0", "jest": "^29.7.0", "jest-junit": "^16.0.0", "jest-runner": "^29.7.0", + "pacote": "^21.0.0", + "request": "^2.88.2", + "request-progress": "^3.0.0", "rimraf": "^3.0.2", - "rollup": "^2.38.5", - "rollup-plugin-commonjs": "^9.1.8", - "rollup-plugin-json": "^3.1.0", - "rollup-plugin-node-resolve": "^5.2.0", - "rollup-plugin-sourcemaps": "^0.6.3", - "rollup-plugin-typescript2": "^0.36.0", + "rolldown": "1.0.0-beta.1", "ts-jest": "^29.2.5", "tslib": "^2.6.2", "typescript": "^5.3.3" @@ -62,5 +63,6 @@ "dependencies": { "rxjs": "^7.8.1", "ulidx": "^2.3.0" - } + }, + "packageManager": "yarn@4.5.3" } diff --git a/core/rolldown.config.mjs b/core/rolldown.config.mjs new file mode 100644 index 000000000..d95f8de8e --- /dev/null +++ b/core/rolldown.config.mjs @@ -0,0 +1,51 @@ +import { defineConfig } from 'rolldown' +import pkgJson from './package.json' with { type: 'json' } + +export default defineConfig([ + { + input: 'src/index.ts', + output: { + format: 'esm', + file: 'dist/index.js', + sourcemap: true, + }, + platform: 'browser', + external: ['path'], + define: { + NODE: JSON.stringify(`${pkgJson.name}/${pkgJson.node}`), + VERSION: JSON.stringify(pkgJson.version), + }, + }, + { + input: 'src/node/index.ts', + external: [ + 'fs/promises', + 'path', + 'pacote', + '@types/pacote', + '@npmcli/arborist', + 'ulidx', + 'node-fetch', + 'fs', + 'request', + 'crypto', + 'url', + 'http', + 'os', + 'util', + 'child_process', + 'electron', + 'request-progress', + ], + output: { + format: 'cjs', + file: 'dist/node/index.cjs.js', + sourcemap: true, + inlineDynamicImports: true, + }, + resolve: { + extensions: ['.js', '.ts'], + }, + platform: 'node', + }, +]) diff --git a/core/rollup.config.ts b/core/rollup.config.ts deleted file mode 100644 index e3336bfad..000000000 --- a/core/rollup.config.ts +++ /dev/null @@ -1,85 +0,0 @@ -import resolve from 'rollup-plugin-node-resolve' -import commonjs from 'rollup-plugin-commonjs' -import sourceMaps from 'rollup-plugin-sourcemaps' -import typescript from 'rollup-plugin-typescript2' -import json from 'rollup-plugin-json' -import replace from '@rollup/plugin-replace' - -const pkg = require('./package.json') - -export default [ - { - input: `src/index.ts`, - output: [ - // { file: pkg.main, name: libraryName, format: 'umd', sourcemap: true }, - { file: pkg.main, format: 'es', sourcemap: true }, - ], - // Indicate here external modules you don't wanna include in your bundle (i.e.: 'lodash') - external: ['path'], - watch: { - include: 'src/**', - }, - plugins: [ - // Allow json resolution - json(), - // Compile TypeScript files - typescript({ useTsconfigDeclarationDir: true }), - // Allow bundling cjs modules (unlike webpack, rollup doesn't understand cjs) - commonjs(), - // Allow node_modules resolution, so you can use 'external' to control - // which external modules to include in the bundle - // https://github.com/rollup/rollup-plugin-node-resolve#usage - replace({ - 'preventAssignment': true, - 'node:crypto': 'crypto', - 'delimiters': ['"', '"'], - }), - resolve({ - browser: true, - }), - - // Resolve source maps to the original source - sourceMaps(), - ], - }, - { - input: `src/node/index.ts`, - output: [{ file: 'dist/node/index.cjs.js', format: 'cjs', sourcemap: true }], - // Indicate here external modules you don't wanna include in your bundle (i.e.: 'lodash') - external: [ - 'fs/promises', - 'path', - 'pacote', - '@types/pacote', - '@npmcli/arborist', - 'ulidx', - 'node-fetch', - 'fs', - 'request', - 'crypto', - 'url', - 'http', - 'os', - 'util', - 'child_process', - ], - watch: { - include: 'src/node/**', - }, - plugins: [ - // Allow json resolution - json(), - // Compile TypeScript files - typescript({ useTsconfigDeclarationDir: true }), - // Allow bundling cjs modules (unlike webpack, rollup doesn't understand cjs) - commonjs(), - // Allow node_modules resolution, so you can use 'external' to control - // which external modules to include in the bundle - // https://github.com/rollup/rollup-plugin-node-resolve#usage - resolve(), - - // Resolve source maps to the original source - sourceMaps(), - ], - }, -] diff --git a/core/src/browser/core.ts b/core/src/browser/core.ts index 7058fc172..a0abbb43e 100644 --- a/core/src/browser/core.ts +++ b/core/src/browser/core.ts @@ -1,4 +1,9 @@ -import { DownloadRequest, FileStat, NetworkConfig, SystemInformation } from '../types' +import { + DownloadRequest, + FileStat, + NetworkConfig, + SystemInformation, +} from '../types' /** * Execute a extension module function in main process @@ -9,11 +14,12 @@ import { DownloadRequest, FileStat, NetworkConfig, SystemInformation } from '../ * @returns Promise * */ -const executeOnMain: (extension: string, method: string, ...args: any[]) => Promise = ( - extension, - method, - ...args -) => globalThis.core?.api?.invokeExtensionFunc(extension, method, ...args) +const executeOnMain: ( + extension: string, + method: string, + ...args: any[] +) => Promise = (extension, method, ...args) => + globalThis.core?.api?.invokeExtensionFunc(extension, method, ...args) /** * Downloads a file from a URL and saves it to the local file system. @@ -23,10 +29,11 @@ const executeOnMain: (extension: string, method: string, ...args: any[]) => Prom * * @returns {Promise} A promise that resolves when the file is downloaded. */ -const downloadFile: (downloadRequest: DownloadRequest, network?: NetworkConfig) => Promise = ( - downloadRequest, - network -) => globalThis.core?.api?.downloadFile(downloadRequest, network) +const downloadFile: ( + downloadRequest: DownloadRequest, + network?: NetworkConfig +) => Promise = (downloadRequest, network) => + globalThis.core?.api?.downloadFile(downloadRequest, network) /** * Aborts the download of a specific file. @@ -41,7 +48,8 @@ const abortDownload: (fileName: string) => Promise = (fileName) => * * @returns {Promise} A Promise that resolves with Jan's data folder path. */ -const getJanDataFolderPath = (): Promise => globalThis.core.api?.getJanDataFolderPath() +const getJanDataFolderPath = (): Promise => + globalThis.core.api?.getJanDataFolderPath() /** * Opens the file explorer at a specific path. @@ -64,14 +72,16 @@ const joinPath: (paths: string[]) => Promise = (paths) => * @param path - The file path to retrieve dirname. * @returns {Promise} A promise that resolves the dirname. */ -const dirName: (path: string) => Promise = (path) => globalThis.core.api?.dirName(path) +const dirName: (path: string) => Promise = (path) => + globalThis.core.api?.dirName(path) /** * Retrieve the basename from an url. * @param path - The path to retrieve. * @returns {Promise} A promise that resolves with the basename. */ -const baseName: (paths: string) => Promise = (path) => globalThis.core.api?.baseName(path) +const baseName: (paths: string) => Promise = (path) => + globalThis.core.api?.baseName(path) /** * Opens an external URL in the default web browser. @@ -87,13 +97,15 @@ const openExternalUrl: (url: string) => Promise = (url) => * * @returns {Promise} - A promise that resolves with the resource path. */ -const getResourcePath: () => Promise = () => globalThis.core.api?.getResourcePath() +const getResourcePath: () => Promise = () => + globalThis.core.api?.getResourcePath() /** * Gets the user's home path. * @returns return user's home path */ -const getUserHomePath = (): Promise => globalThis.core.api?.getUserHomePath() +const getUserHomePath = (): Promise => + globalThis.core.api?.getUserHomePath() /** * Log to file from browser processes. @@ -111,8 +123,10 @@ const log: (message: string, fileName?: string) => void = (message, fileName) => * * @returns {Promise} - A promise that resolves with a boolean indicating whether the path is a subdirectory. */ -const isSubdirectory: (from: string, to: string) => Promise = (from: string, to: string) => - globalThis.core.api?.isSubdirectory(from, to) +const isSubdirectory: (from: string, to: string) => Promise = ( + from: string, + to: string +) => globalThis.core.api?.isSubdirectory(from, to) /** * Get system information @@ -159,5 +173,4 @@ export { systemInformation, showToast, dirName, - FileStat, } diff --git a/core/src/browser/extension.ts b/core/src/browser/extension.ts index b7a9fca4e..1d641980b 100644 --- a/core/src/browser/extension.ts +++ b/core/src/browser/extension.ts @@ -11,6 +11,7 @@ export enum ExtensionTypeEnum { Model = 'model', SystemMonitoring = 'systemMonitoring', HuggingFace = 'huggingFace', + Engine = 'engine', } export interface ExtensionType { diff --git a/core/src/browser/extensions/engines/helpers/sse.ts b/core/src/browser/extensions/engines/helpers/sse.ts index 153d741da..aaafbf7e5 100644 --- a/core/src/browser/extensions/engines/helpers/sse.ts +++ b/core/src/browser/extensions/engines/helpers/sse.ts @@ -22,7 +22,9 @@ export function requestInference( headers: { 'Content-Type': 'application/json', 'Access-Control-Allow-Origin': '*', - 'Accept': model.parameters?.stream ? 'text/event-stream' : 'application/json', + 'Accept': model.parameters?.stream + ? 'text/event-stream' + : 'application/json', ...headers, }, body: JSON.stringify(requestBody), @@ -47,12 +49,24 @@ export function requestInference( } // There could be overriden stream parameter in the model // that is set in request body (transformed payload) - if (requestBody?.stream === false || model.parameters?.stream === false) { + if ( + requestBody?.stream === false || + model.parameters?.stream === false + ) { const data = await response.json() + if (data.error || data.message) { + subscriber.error(data.error ?? data) + subscriber.complete() + return + } if (transformResponse) { subscriber.next(transformResponse(data)) } else { - subscriber.next(data.choices[0]?.message?.content ?? '') + subscriber.next( + data.choices + ? data.choices[0]?.message?.content + : (data.content[0]?.text ?? '') + ) } } else { const stream = response.body diff --git a/core/src/browser/extensions/enginesManagement.ts b/core/src/browser/extensions/enginesManagement.ts new file mode 100644 index 000000000..66dff87df --- /dev/null +++ b/core/src/browser/extensions/enginesManagement.ts @@ -0,0 +1,110 @@ +import { + InferenceEngine, + Engines, + EngineVariant, + EngineReleased, + EngineConfig, + DefaultEngineVariant, +} from '../../types' +import { BaseExtension, ExtensionTypeEnum } from '../extension' + +/** + * Engine management extension. Persists and retrieves engine management. + * @abstract + * @extends BaseExtension + */ +export abstract class EngineManagementExtension extends BaseExtension { + type(): ExtensionTypeEnum | undefined { + return ExtensionTypeEnum.Engine + } + + /** + * @returns A Promise that resolves to an object of list engines. + */ + abstract getEngines(): Promise + + /** + * @param name - Inference engine name. + * @returns A Promise that resolves to an array of installed engine. + */ + abstract getInstalledEngines(name: InferenceEngine): Promise + + /** + * @param name - Inference engine name. + * @param version - Version of the engine. + * @param platform - Optional to sort by operating system. macOS, linux, windows. + * @returns A Promise that resolves to an array of latest released engine by version. + */ + abstract getReleasedEnginesByVersion( + name: InferenceEngine, + version: string, + platform?: string + ): Promise + + /** + * @param name - Inference engine name. + * @param platform - Optional to sort by operating system. macOS, linux, windows. + * @returns A Promise that resolves to an array of latest released engine. + */ + abstract getLatestReleasedEngine( + name: InferenceEngine, + platform?: string + ): Promise + + /** + * @param name - Inference engine name. + * @returns A Promise that resolves to intall of engine. + */ + abstract installEngine( + name: string, + engineConfig: EngineConfig + ): Promise<{ messages: string }> + + /** + * Add a new remote engine + * @returns A Promise that resolves to intall of engine. + */ + abstract addRemoteEngine( + engineConfig: EngineConfig + ): Promise<{ messages: string }> + + /** + * @param name - Inference engine name. + * @returns A Promise that resolves to unintall of engine. + */ + abstract uninstallEngine( + name: InferenceEngine, + engineConfig: EngineConfig + ): Promise<{ messages: string }> + + /** + * @param name - Inference engine name. + * @returns A Promise that resolves to an object of default engine. + */ + abstract getDefaultEngineVariant( + name: InferenceEngine + ): Promise + + /** + * @body variant - string + * @body version - string + * @returns A Promise that resolves to set default engine. + */ + abstract setDefaultEngineVariant( + name: InferenceEngine, + engineConfig: EngineConfig + ): Promise<{ messages: string }> + + /** + * @returns A Promise that resolves to update engine. + */ + abstract updateEngine( + name: InferenceEngine, + engineConfig?: EngineConfig + ): Promise<{ messages: string }> + + /** + * @returns A Promise that resolves to an object of remote models list . + */ + abstract getRemoteModels(name: InferenceEngine | string): Promise +} diff --git a/core/src/browser/extensions/index.ts b/core/src/browser/extensions/index.ts index 85d5a8583..9dbfe1afe 100644 --- a/core/src/browser/extensions/index.ts +++ b/core/src/browser/extensions/index.ts @@ -28,3 +28,8 @@ export { ModelExtension } from './model' * Base AI Engines. */ export * from './engines' + +/** + * Engines Management + */ +export * from './enginesManagement' diff --git a/core/src/node/api/processors/app.test.ts b/core/src/node/api/processors/app.test.ts index f09c6cb6b..f0e45af74 100644 --- a/core/src/node/api/processors/app.test.ts +++ b/core/src/node/api/processors/app.test.ts @@ -4,16 +4,6 @@ jest.mock('../../helper', () => ({ })) import { App } from './app' -it('should call stopServer', () => { - const app = new App() - const stopServerMock = jest.fn().mockResolvedValue('Server stopped') - jest.mock('@janhq/server', () => ({ - stopServer: stopServerMock, - })) - app.stopServer() - expect(stopServerMock).toHaveBeenCalled() -}) - it('should correctly retrieve basename', () => { const app = new App() const result = app.baseName('/path/to/file.txt') @@ -23,7 +13,8 @@ it('should correctly retrieve basename', () => { it('should correctly identify subdirectories', () => { const app = new App() const basePath = process.platform === 'win32' ? 'C:\\path\\to' : '/path/to' - const subPath = process.platform === 'win32' ? 'C:\\path\\to\\subdir' : '/path/to/subdir' + const subPath = + process.platform === 'win32' ? 'C:\\path\\to\\subdir' : '/path/to/subdir' const result = app.isSubdirectory(basePath, subPath) expect(result).toBe(true) }) @@ -31,7 +22,8 @@ it('should correctly identify subdirectories', () => { it('should correctly join multiple paths', () => { const app = new App() const result = app.joinPath(['path', 'to', 'file']) - const expectedPath = process.platform === 'win32' ? 'path\\to\\file' : 'path/to/file' + const expectedPath = + process.platform === 'win32' ? 'path\\to\\file' : 'path/to/file' expect(result).toBe(expectedPath) }) @@ -52,5 +44,7 @@ it('should retrieve the directory name from a file path (Unix/Windows)', async ( it('should retrieve the directory name when using file protocol', async () => { const app = new App() const path = 'file:/models/file.txt' - expect(await app.dirName(path)).toBe(process.platform === 'win32' ? 'app\\models' : 'app/models') + expect(await app.dirName(path)).toBe( + process.platform === 'win32' ? 'app\\models' : 'app/models' + ) }) diff --git a/core/src/node/api/processors/app.ts b/core/src/node/api/processors/app.ts index 96af8468e..d86e6265c 100644 --- a/core/src/node/api/processors/app.ts +++ b/core/src/node/api/processors/app.ts @@ -44,11 +44,8 @@ export class App implements Processor { /** * Checks if the given path is a subdirectory of the given directory. * - * @param _event - The IPC event object. * @param from - The path to check. * @param to - The directory to check against. - * - * @returns {Promise} - A promise that resolves with the result. */ isSubdirectory(from: any, to: any) { const rel = relative(from, to) @@ -79,26 +76,4 @@ export class App implements Processor { async updateAppConfiguration(args: any) { await updateAppConfiguration(args) } - - /** - * Start Jan API Server. - */ - async startServer(args?: any) { - const { startServer } = require('@janhq/server') - return startServer({ - host: args?.host, - port: args?.port, - isCorsEnabled: args?.isCorsEnabled, - isVerboseEnabled: args?.isVerboseEnabled, - prefix: args?.prefix, - }) - } - - /** - * Stop Jan API Server. - */ - stopServer() { - const { stopServer } = require('@janhq/server') - return stopServer() - } } diff --git a/core/src/node/extension/extension.ts b/core/src/node/extension/extension.ts index 849f2d5f2..aea14f705 100644 --- a/core/src/node/extension/extension.ts +++ b/core/src/node/extension/extension.ts @@ -57,7 +57,10 @@ export default class Extension { * @type {string} */ get specifier() { - return this.origin + (this.installOptions.version ? '@' + this.installOptions.version : '') + return ( + this.origin + + (this.installOptions.version ? '@' + this.installOptions.version : '') + ) } /** @@ -75,8 +78,10 @@ export default class Extension { async getManifest() { // Get the package's manifest (package.json object) try { - await import('pacote').then((pacote) => { - return pacote.manifest(this.specifier, this.installOptions).then((mnf) => { + const pacote = require('pacote') + return pacote + .manifest(this.specifier, this.installOptions) + .then((mnf: any) => { // set the Package properties based on the it's manifest this.name = mnf.name this.productName = mnf.productName as string | undefined @@ -84,9 +89,10 @@ export default class Extension { this.main = mnf.main this.description = mnf.description }) - }) } catch (error) { - throw new Error(`Package ${this.origin} does not contain a valid manifest: ${error}`) + throw new Error( + `Package ${this.origin} does not contain a valid manifest: ${error}` + ) } return true @@ -103,10 +109,13 @@ export default class Extension { await this.getManifest() // Install the package in a child folder of the given folder - const pacote = await import('pacote') + const pacote = require('pacote') await pacote.extract( this.specifier, - join(ExtensionManager.instance.getExtensionsPath() ?? '', this.name ?? ''), + join( + ExtensionManager.instance.getExtensionsPath() ?? '', + this.name ?? '' + ), this.installOptions ) @@ -169,13 +178,12 @@ export default class Extension { * @returns the latest available version if a new version is available or false if not. */ async isUpdateAvailable() { - return import('pacote').then((pacote) => { - if (this.origin) { - return pacote.manifest(this.origin).then((mnf) => { - return mnf.version !== this.version ? mnf.version : false - }) - } - }) + const pacote = require('pacote') + if (this.origin) { + return pacote.manifest(this.origin).then((mnf: any) => { + return mnf.version !== this.version ? mnf.version : false + }) + } } /** diff --git a/core/src/node/helper/config.test.ts b/core/src/node/helper/config.test.ts index d46750d5f..617a8f7ef 100644 --- a/core/src/node/helper/config.test.ts +++ b/core/src/node/helper/config.test.ts @@ -1,28 +1,19 @@ -import { getEngineConfiguration } from './config'; -import { getAppConfigurations, defaultAppConfig } from './config'; - -import { getJanExtensionsPath } from './config'; -import { getJanDataFolderPath } from './config'; -it('should return undefined for invalid engine ID', async () => { - const config = await getEngineConfiguration('invalid_engine'); - expect(config).toBeUndefined(); -}); +import { getAppConfigurations, defaultAppConfig } from './config' +import { getJanExtensionsPath, getJanDataFolderPath } from './config' it('should return default config when CI is e2e', () => { - process.env.CI = 'e2e'; - const config = getAppConfigurations(); - expect(config).toEqual(defaultAppConfig()); -}); - + process.env.CI = 'e2e' + const config = getAppConfigurations() + expect(config).toEqual(defaultAppConfig()) +}) it('should return extensions path when retrieved successfully', () => { - const extensionsPath = getJanExtensionsPath(); - expect(extensionsPath).not.toBeUndefined(); -}); - + const extensionsPath = getJanExtensionsPath() + expect(extensionsPath).not.toBeUndefined() +}) it('should return data folder path when retrieved successfully', () => { - const dataFolderPath = getJanDataFolderPath(); - expect(dataFolderPath).not.toBeUndefined(); -}); + const dataFolderPath = getJanDataFolderPath() + expect(dataFolderPath).not.toBeUndefined() +}) diff --git a/core/src/node/helper/config.ts b/core/src/node/helper/config.ts index 8bf48d629..6fb28d01f 100644 --- a/core/src/node/helper/config.ts +++ b/core/src/node/helper/config.ts @@ -1,8 +1,7 @@ -import { AppConfiguration, SettingComponentProps } from '../../types' +import { AppConfiguration } from '../../types' import { join, resolve } from 'path' import fs from 'fs' import os from 'os' -import childProcess from 'child_process' const configurationFileName = 'settings.json' /** @@ -19,7 +18,9 @@ export const getAppConfigurations = (): AppConfiguration => { if (!fs.existsSync(configurationFile)) { // create default app config if we don't have one - console.debug(`App config not found, creating default config at ${configurationFile}`) + console.debug( + `App config not found, creating default config at ${configurationFile}` + ) fs.writeFileSync(configurationFile, JSON.stringify(appDefaultConfiguration)) return appDefaultConfiguration } @@ -30,20 +31,28 @@ export const getAppConfigurations = (): AppConfiguration => { ) return appConfigurations } catch (err) { - console.error(`Failed to read app config, return default config instead! Err: ${err}`) + console.error( + `Failed to read app config, return default config instead! Err: ${err}` + ) return defaultAppConfig() } } const getConfigurationFilePath = () => join( - global.core?.appPath() || process.env[process.platform == 'win32' ? 'USERPROFILE' : 'HOME'], + global.core?.appPath() || + process.env[process.platform == 'win32' ? 'USERPROFILE' : 'HOME'], configurationFileName ) -export const updateAppConfiguration = (configuration: AppConfiguration): Promise => { +export const updateAppConfiguration = ( + configuration: AppConfiguration +): Promise => { const configurationFile = getConfigurationFilePath() - console.debug('updateAppConfiguration, configurationFile: ', configurationFile) + console.debug( + 'updateAppConfiguration, configurationFile: ', + configurationFile + ) fs.writeFileSync(configurationFile, JSON.stringify(configuration)) return Promise.resolve() @@ -69,86 +78,6 @@ export const getJanExtensionsPath = (): string => { return join(appConfigurations.data_folder, 'extensions') } -/** - * Utility function to physical cpu count - * - * @returns {number} The physical cpu count. - */ -export const physicalCpuCount = async (): Promise => { - const platform = os.platform() - try { - if (platform === 'linux') { - const output = await exec('lscpu -p | egrep -v "^#" | sort -u -t, -k 2,4 | wc -l') - return parseInt(output.trim(), 10) - } else if (platform === 'darwin') { - const output = await exec('sysctl -n hw.physicalcpu_max') - return parseInt(output.trim(), 10) - } else if (platform === 'win32') { - const output = await exec('WMIC CPU Get NumberOfCores') - return output - .split(os.EOL) - .map((line: string) => parseInt(line)) - .filter((value: number) => !isNaN(value)) - .reduce((sum: number, number: number) => sum + number, 1) - } else { - const cores = os.cpus().filter((cpu: any, index: number) => { - const hasHyperthreading = cpu.model.includes('Intel') - const isOdd = index % 2 === 1 - return !hasHyperthreading || isOdd - }) - return cores.length - } - } catch (err) { - console.warn('Failed to get physical CPU count', err) - // Divide by 2 to get rid of hyper threading - const coreCount = Math.ceil(os.cpus().length / 2) - console.debug('Using node API to get physical CPU count:', coreCount) - return coreCount - } -} - -const exec = async (command: string): Promise => { - return new Promise((resolve, reject) => { - childProcess.exec(command, { encoding: 'utf8' }, (error, stdout) => { - if (error) { - reject(error) - } else { - resolve(stdout) - } - }) - }) -} - -// a hacky way to get the api key. we should comes up with a better -// way to handle this -export const getEngineConfiguration = async (engineId: string) => { - if (engineId !== 'openai' && engineId !== 'groq') return undefined - - const settingDirectoryPath = join( - getJanDataFolderPath(), - 'settings', - '@janhq', - engineId === 'openai' ? 'inference-openai-extension' : 'inference-groq-extension', - 'settings.json' - ) - - const content = fs.readFileSync(settingDirectoryPath, 'utf-8') - const settings: SettingComponentProps[] = JSON.parse(content) - const apiKeyId = engineId === 'openai' ? 'openai-api-key' : 'groq-api-key' - const keySetting = settings.find((setting) => setting.key === apiKeyId) - let fullUrl = settings.find((setting) => setting.key === 'chat-completions-endpoint') - ?.controllerProps.value - - let apiKey = keySetting?.controllerProps.value - if (typeof apiKey !== 'string') apiKey = '' - if (typeof fullUrl !== 'string') fullUrl = '' - - return { - api_key: apiKey, - full_url: fullUrl, - } -} - /** * Default app configurations * App Data Folder default to Electron's userData @@ -158,7 +87,10 @@ export const getEngineConfiguration = async (engineId: string) => { */ export const defaultAppConfig = (): AppConfiguration => { const { app } = require('electron') - const defaultJanDataFolder = join(app?.getPath('userData') ?? os?.homedir() ?? '', 'data') + const defaultJanDataFolder = join( + app?.getPath('userData') ?? os?.homedir() ?? '', + 'data' + ) return { data_folder: process.env.CI === 'e2e' diff --git a/core/src/node/helper/resource.test.ts b/core/src/node/helper/resource.test.ts index aaeab9d65..c82d481db 100644 --- a/core/src/node/helper/resource.test.ts +++ b/core/src/node/helper/resource.test.ts @@ -1,15 +1,9 @@ -import { getSystemResourceInfo } from './resource'; +import { getSystemResourceInfo } from './resource' it('should return the correct system resource information with a valid CPU count', async () => { - const mockCpuCount = 4; - jest.spyOn(require('./config'), 'physicalCpuCount').mockResolvedValue(mockCpuCount); - const logSpy = jest.spyOn(require('./logger'), 'log').mockImplementation(() => {}); - - const result = await getSystemResourceInfo(); + const result = await getSystemResourceInfo() expect(result).toEqual({ - numCpuPhysicalCore: mockCpuCount, memAvailable: 0, - }); - expect(logSpy).toHaveBeenCalledWith(`[CORTEX]::CPU information - ${mockCpuCount}`); -}); + }) +}) diff --git a/core/src/node/helper/resource.ts b/core/src/node/helper/resource.ts index c7bfbf20c..5d75e54eb 100644 --- a/core/src/node/helper/resource.ts +++ b/core/src/node/helper/resource.ts @@ -1,13 +1,7 @@ import { SystemResourceInfo } from '../../types' -import { physicalCpuCount } from './config' -import { log } from './logger' export const getSystemResourceInfo = async (): Promise => { - const cpu = await physicalCpuCount() - log(`[CORTEX]::CPU information - ${cpu}`) - return { - numCpuPhysicalCore: cpu, memAvailable: 0, // TODO: this should not be 0 } } diff --git a/core/src/types/api/index.ts b/core/src/types/api/index.ts index dc9afcb00..63b0eb10e 100644 --- a/core/src/types/api/index.ts +++ b/core/src/types/api/index.ts @@ -27,7 +27,10 @@ export enum NativeRoute { quickAskSizeUpdated = 'quickAskSizeUpdated', ackDeepLink = 'ackDeepLink', - factoryReset = 'factoryReset' + factoryReset = 'factoryReset', + + startServer = 'startServer', + stopServer = 'stopServer', } /** @@ -41,8 +44,6 @@ export enum AppRoute { dirName = 'dirName', isSubdirectory = 'isSubdirectory', baseName = 'baseName', - startServer = 'startServer', - stopServer = 'stopServer', log = 'log', systemInformation = 'systemInformation', showToast = 'showToast', diff --git a/core/src/types/engine/index.ts b/core/src/types/engine/index.ts new file mode 100644 index 000000000..7c848a279 --- /dev/null +++ b/core/src/types/engine/index.ts @@ -0,0 +1,54 @@ +import { InferenceEngine } from '../../types' + +export type Engines = { + [key in InferenceEngine]: (EngineVariant & EngineConfig)[] +} + +export type EngineMetadata = { + get_models_url?: string + header_template?: string + transform_req?: { + chat_completions?: { + url?: string + template?: string + } + } + transform_resp?: { + chat_completions?: { + template?: string + } + } +} + +export type EngineVariant = { + engine: InferenceEngine + name: string + version: string +} + +export type DefaultEngineVariant = { + engine: InferenceEngine + variant: string + version: string +} + +export type EngineReleased = { + created_at: string + download_count: number + name: string + size: number +} + +export type EngineConfig = { + engine?: string + version?: string + variant?: string + type?: string + url?: string + api_key?: string + metadata?: EngineMetadata +} + +export enum EngineEvent { + OnEngineUpdate = 'OnEngineUpdate', +} diff --git a/core/src/types/index.ts b/core/src/types/index.ts index 6627ebff9..e30dd18c3 100644 --- a/core/src/types/index.ts +++ b/core/src/types/index.ts @@ -10,3 +10,4 @@ export * from './huggingface' export * from './miscellaneous' export * from './api' export * from './setting' +export * from './engine' diff --git a/core/src/types/message/messageEntity.ts b/core/src/types/message/messageEntity.ts index 302b824ee..edd253a57 100644 --- a/core/src/types/message/messageEntity.ts +++ b/core/src/types/message/messageEntity.ts @@ -32,9 +32,8 @@ export type ThreadMessage = { completed_at: number /** The additional metadata of this message. **/ metadata?: Record - + /** Type of the message */ type?: string - /** The error code which explain what error type. Used in conjunction with MessageStatus.Error */ error_code?: ErrorCode } @@ -72,6 +71,10 @@ export type MessageRequest = { // TODO: deprecate threadId field thread?: Thread + /** Engine name to process */ + engine?: string + + /** Message type */ type?: string } @@ -147,7 +150,9 @@ export interface Attachment { /** * The tools to add this file to. */ - tools?: Array + tools?: Array< + CodeInterpreterTool | Attachment.AssistantToolsFileSearchTypeOnly + > } export namespace Attachment { @@ -166,5 +171,10 @@ export interface IncompleteDetails { /** * The reason the message is incomplete. */ - reason: 'content_filter' | 'max_tokens' | 'run_cancelled' | 'run_expired' | 'run_failed' + reason: + | 'content_filter' + | 'max_tokens' + | 'run_cancelled' + | 'run_expired' + | 'run_failed' } diff --git a/core/src/types/miscellaneous/systemResourceInfo.ts b/core/src/types/miscellaneous/systemResourceInfo.ts index 6ceea0822..82db5d941 100644 --- a/core/src/types/miscellaneous/systemResourceInfo.ts +++ b/core/src/types/miscellaneous/systemResourceInfo.ts @@ -1,5 +1,4 @@ export type SystemResourceInfo = { - numCpuPhysicalCore: number memAvailable: number } diff --git a/core/src/types/setting/settingComponent.ts b/core/src/types/setting/settingComponent.ts index 2474f6bd4..7294b0bbe 100644 --- a/core/src/types/setting/settingComponent.ts +++ b/core/src/types/setting/settingComponent.ts @@ -3,7 +3,11 @@ export type SettingComponentProps = { title: string description: string controllerType: ControllerType - controllerProps: SliderComponentProps | CheckboxComponentProps | InputComponentProps + controllerProps: + | SliderComponentProps + | CheckboxComponentProps + | InputComponentProps + | DropdownComponentProps extensionName?: string requireModelReload?: boolean @@ -12,13 +16,26 @@ export type SettingComponentProps = { export type ConfigType = 'runtime' | 'setting' -export type ControllerType = 'slider' | 'checkbox' | 'input' | 'tag' +export type ControllerType = + | 'slider' + | 'checkbox' + | 'input' + | 'tag' + | 'dropdown' -export type InputType = 'password' | 'text' | 'email' | 'number' | 'tel' | 'url' +export type InputType = + | 'password' + | 'text' + | 'email' + | 'number' + | 'tel' + | 'url' + | 'dropdown' const InputActions = ['unobscure', 'copy'] as const export type InputActionsTuple = typeof InputActions export type InputAction = InputActionsTuple[number] +export type DropdownOption = { name: string; value: string } export type InputComponentProps = { placeholder: string @@ -38,3 +55,9 @@ export type SliderComponentProps = { export type CheckboxComponentProps = { value: boolean } + +export type DropdownComponentProps = { + value: string + type?: InputType + options?: DropdownOption[] +} diff --git a/core/tsconfig.json b/core/tsconfig.json index bf79a8720..3c1e7f57a 100644 --- a/core/tsconfig.json +++ b/core/tsconfig.json @@ -11,11 +11,10 @@ "experimentalDecorators": true, "emitDecoratorMetadata": true, "declarationDir": "dist/types", - "outDir": "dist/lib", + "outDir": "dist", "importHelpers": true, - "types": ["@types/jest"], - "resolveJsonModule": true + "types": ["jest", "node"] }, "include": ["src"], - "exclude": ["**/*.test.ts"] + "exclude": ["src/**/*.test.ts"] } diff --git a/docs/package.json b/docs/package.json index b2b74aba7..ac2fab87b 100644 --- a/docs/package.json +++ b/docs/package.json @@ -58,5 +58,5 @@ "prettier": "^3.2.5", "typescript": "^5" }, - "packageManager": "yarn@1.22.22+sha512.a6b2f7906b721bba3d67d4aff083df04dad64c399707841b7acf00f6b133b7ac24255f2652fa22ae3534329dc6180534e98d17432037ff6fd140556e2bb3137e" + "packageManager": "yarn@1.22.22" } diff --git a/docs/public/assets/images/changelog/jan-v0.5.10.gif b/docs/public/assets/images/changelog/jan-v0.5.10.gif new file mode 100644 index 000000000..31e6ecdc1 Binary files /dev/null and b/docs/public/assets/images/changelog/jan-v0.5.10.gif differ diff --git a/docs/public/assets/images/changelog/jan-v0.5.11.gif 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a/docs/src/pages/docs/_assets/download.gif and b/docs/public/assets/images/changelog/jan-v0.5.9.gif differ diff --git a/docs/public/sitemap-0.xml b/docs/public/sitemap-0.xml index b74cbb237..2b4a04975 100644 --- a/docs/public/sitemap-0.xml +++ b/docs/public/sitemap-0.xml @@ -93,7 +93,7 @@ https://jan.ai/docs/desktop/windows2024-09-09T08:19:45.722Zdaily1 https://jan.ai/docs/error-codes2024-09-09T08:19:45.722Zdaily1 https://jan.ai/docs/extensions2024-09-09T08:19:45.722Zdaily1 -https://jan.ai/docs/installing-extension2024-09-09T08:19:45.722Zdaily1 +https://jan.ai/docs/install-extensions2024-09-09T08:19:45.722Zdaily1 https://jan.ai/docs/models2024-09-09T08:19:45.722Zdaily1 https://jan.ai/docs/models/manage-models2024-09-09T08:19:45.722Zdaily1 https://jan.ai/docs/models/model-parameters2024-09-09T08:19:45.722Zdaily1 diff --git a/docs/src/pages/changelog/2024-11-22-jan-bugs.mdx b/docs/src/pages/changelog/2024-11-22-jan-bugs.mdx new file mode 100644 index 000000000..2b7462d1d --- /dev/null +++ b/docs/src/pages/changelog/2024-11-22-jan-bugs.mdx @@ -0,0 +1,25 @@ +--- +title: "Model downloads & running issues fixed" +version: 0.5.9 +description: "Jan v0.5.9 is here: fixing what needed fixing." +date: 2024-11-22 +ogImage: "/assets/images/changelog/jan-v0.5.9.gif" +--- + +import ChangelogHeader from "@/components/Changelog/ChangelogHeader" + + + +Jan v0.5.9 is here: fixing what needed fixing + +### Highlights 🎉 + +- Model downloads & running issues fixed +- Document upload bugs resolved +- System glitches addressed: Factory Reset, HTTP Proxy, Hugging Face tokens +- Fixed issues with code blocks in streaming responses +- Improved the UX of the Local API Server page + +Update your product or download the latest: https://jan.ai + +For more details, see the [GitHub release notes](https://github.com/janhq/jan/releases/tag/v0.5.9). \ No newline at end of file diff --git a/docs/src/pages/changelog/2024-11.14-jan-supports-qwen-coder.mdx b/docs/src/pages/changelog/2024-11.14-jan-supports-qwen-coder.mdx new file mode 100644 index 000000000..b4589e8d6 --- /dev/null +++ b/docs/src/pages/changelog/2024-11.14-jan-supports-qwen-coder.mdx @@ -0,0 +1,25 @@ +--- +title: "Jan supports Qwen2.5-Coder 14B & 32B" +version: 0.5.8 +description: "Jan v0.5.8 is out: Jan supports Qwen2.5-Coder 14B & 32B through Cortex" +date: 2024-11-14 +ogImage: "/assets/images/changelog/jan-v0.5.8.gif" +--- + +import ChangelogHeader from "@/components/Changelog/ChangelogHeader" + + + +Jan v0.5.8 is out: Jan supports Qwen2.5-Coder 14B & 32B through Cortex + +### Highlights 🎉 + +- A new engine: Jan now run models via [Cortex](https://cortex.so) +- SupportsAlibaba_Qwen's Coder 14B & 32B Support +- Supports markdown rendering on user messages + +and various UI/UX enhancements 💫 + +Update your product or download the latest: https://jan.ai + +For more details, see the [GitHub release notes](https://github.com/janhq/jan/releases/tag/v0.5.8). \ No newline at end of file diff --git a/docs/src/pages/changelog/2024-12-03-jan-is-faster.mdx b/docs/src/pages/changelog/2024-12-03-jan-is-faster.mdx new file mode 100644 index 000000000..119758234 --- /dev/null +++ b/docs/src/pages/changelog/2024-12-03-jan-is-faster.mdx @@ -0,0 +1,22 @@ +--- +title: "Jan v0.5.10 is live" +version: 0.5.10 +description: "Jan is faster, smoother, and more reliable." +date: 2024-12-03 +ogImage: "/assets/images/changelog/jan-v0.5.10.gif" +--- + +import ChangelogHeader from "@/components/Changelog/ChangelogHeader" + + + +Jan v0.5.10 is live: Jan is faster, smoother, and more reliable. + +### Highlights 🎉 + +- Resolved model startup issues, memory leaks, and improved token limits +- Clearer error messages and subtle UX improvements + +Update your product or download the latest: https://jan.ai + +For more details, see the [GitHub release notes](https://github.com/janhq/jan/releases/tag/v0.5.10). \ No newline at end of file diff --git a/docs/src/pages/changelog/2024-12-05-jan-hot-fix-mac.mdx b/docs/src/pages/changelog/2024-12-05-jan-hot-fix-mac.mdx new file mode 100644 index 000000000..b38b506ec --- /dev/null +++ b/docs/src/pages/changelog/2024-12-05-jan-hot-fix-mac.mdx @@ -0,0 +1,26 @@ +--- +title: "Jan v0.5.11 is here!" +version: 0.5.11 +description: "Critical issues fixed, Mac installation updated." +date: 2024-12-05 +ogImage: "/assets/images/changelog/jan-v0.5.11.gif" +--- + +import ChangelogHeader from "@/components/Changelog/ChangelogHeader" + + + +Jan v0.5.11 is here - critical issues fixed, Mac installation updated. + +### Highlights 🎉 + +- Crashes (markdown & code highlighting) +- Thread switching & auto-scroll +- Syntax highlighting bugs +- API issues (Anthropic, OpenRouter) +- Title glitches with special characters +- Model settings inconsistencies + +Update your product or download the latest: https://jan.ai + +For more details, see the [GitHub release notes](https://github.com/janhq/jan/releases/tag/v0.5.11). \ No newline at end of file diff --git a/docs/src/pages/changelog/2024-12-30-jan-new-privacy.mdx b/docs/src/pages/changelog/2024-12-30-jan-new-privacy.mdx new file mode 100644 index 000000000..c5a737e02 --- /dev/null +++ b/docs/src/pages/changelog/2024-12-30-jan-new-privacy.mdx @@ -0,0 +1,28 @@ +--- +title: "Jan gives you full control over your privacy" +version: 0.5.12 +description: "Improved Privacy settings to give full control over analytics." +date: 2024-12-30 +ogImage: "/assets/images/changelog/jan-v0.5.12.gif" +--- + +import ChangelogHeader from "@/components/Changelog/ChangelogHeader" + + + +Jan v0.5.11 is here - critical issues fixed, Mac installation updated. + +### Highlights 🎉 + +- Updated privacy settings with opt-in/out options for Jan Analytics +- Adjustable chat width +- The right sidebar and input box are now optimized for new users + +### Fixes 💫 +- Updated privacy settings with opt-in/out options for Jan Analytics +- Adjustable chat width +- The right sidebar and input box are now optimized for new users + +Update your product or download the latest: https://jan.ai + +For more details, see the [GitHub release notes](https://github.com/janhq/jan/releases/tag/v0.5.12). \ No newline at end of file diff --git a/docs/src/pages/docs/_assets/Anthropic-1.gif b/docs/src/pages/docs/_assets/Anthropic-1.gif deleted file mode 100644 index 594c53172..000000000 Binary files a/docs/src/pages/docs/_assets/Anthropic-1.gif and /dev/null differ diff --git a/docs/src/pages/docs/_assets/Anthropic-2.gif b/docs/src/pages/docs/_assets/Anthropic-2.gif deleted file mode 100644 index 63e76cc3b..000000000 Binary files a/docs/src/pages/docs/_assets/Anthropic-2.gif and /dev/null differ diff --git a/docs/src/pages/docs/_assets/Cohere-1.gif b/docs/src/pages/docs/_assets/Cohere-1.gif deleted file mode 100644 index 6441bd8a9..000000000 Binary files a/docs/src/pages/docs/_assets/Cohere-1.gif and /dev/null differ diff 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Shortcuts", + "api-server": "Local API Server", "inference-engines": { - "title": "MODEL PROVIDER", + "title": "ENGINES", "type": "separator" }, - "built-in": "Built-in Models", - "remote-models": "Remote APIs", + "local-engines": "Local Engines", + "remote-models": "Remote Engines", + "install-engines": "Install Engines", "extensions-separator": { "title": "EXTENSIONS", "type": "separator" }, "extensions": "Overview", - "installing-extension": "Installing an Extension", + "extensions-settings": "Extension Settings", + "configure-extensions": "Configure Extensions", + "install-extensions": "Install Extensions", "troubleshooting-separator": { "title": "TROUBLESHOOTING", "type": "separator" }, "troubleshooting": "Troubleshooting", - "error-codes": "Error Codes" + "error-codes": { + "type": "page", + "display": "hidden", + "title": "Error Codes" + } } diff --git a/docs/src/pages/docs/api-server.mdx b/docs/src/pages/docs/api-server.mdx new file mode 100644 index 000000000..0be8a59a1 --- /dev/null +++ b/docs/src/pages/docs/api-server.mdx @@ -0,0 +1,123 @@ +--- +title: Local API Server +description: Learn how to run Jan's local API server. + [ + Jan, + Customizable Intelligence, LLM, + local AI, + privacy focus, + free and open source, + private and offline, + conversational AI, + no-subscription fee, + large language models, + Jan Extensions, + Extensions, + ] +--- + +import { Callout, Steps } from 'nextra/components' +import { Settings, EllipsisVertical } from 'lucide-react' + +# Local API Server + +Jan includes a built-in API server that is compatible with OpenAI's API specification, allowing you to interact with AI models through a local HTTP interface. This means you can use Jan as a drop-in replacement for OpenAI's API, but running entirely on your computer. + +Jan uses **Cortex** as its core engine for running AI models. If you need a standalone API server without Jan's desktop interface (for example, in server environments or for command-line usage), you can use Cortex directly: https://cortex.so. + + +Full API documentation is available at [Cortex's API Reference](https://cortex.so/api-reference#tag/chat). + + +
+![Local API Server](./_assets/api-server.png) +
+ +## Start Server + + + +### Step 1: Start Server +1. Navigate to the **Local API Server** +2. Configure [Server Settings](/docs/api-server#server-settings) +3. Click **Start Server** button +4. Wait for the confirmation message in the logs panel, your server is ready when you see: `JAN API listening at: http://127.0.0.1:1337` + + +### Step 2: Test Server +The easiest way to test your server is through the API Playground: +1. Click the **API Playground** button to open its testing interface +2. Select a model from the dropdown menu in Jan interface +3. Try a simple [chat completion](https://cortex.so/api-reference#tag/chat/post/v1/chat/completions) request +4. View the response in real-time + +### Step 3: Use the API +Navigate to [Cortex's API Reference](https://cortex.so/api-reference#tag/chat) to see full API endpoints for your use case. + + + +## Server Settings + +#### Host Address Options +- **127.0.0.1 (Recommended)**: + - Only accessible from your computer + - Most secure option for personal use +- **0.0.0.0**: + - Makes server accessible from other devices on your network + - Use with caution and only when necessary + +#### Port Number +- Default: `1337` +- Can be any number between 1-65535 +- Avoid common ports (80, 443, 3000, 8080) that might be used by other applications + +#### API Prefix +- Default: `/v1` +- Defines the base path for all API endpoints +- Example: http://127.0.0.1:1337/v1/chat/completions + +#### Cross-Origin Resource Sharing (CORS) +CORS controls which websites can access your API, which is important for web applications running in browsers. + +**When to enable:** +- If you're building a web application that needs to access the API +- If you're using browser extensions + +**When to leave disabled:** +- If you're only using the API from your local applications +- If you're concerned about security + +#### Verbose Server Logs +Enable to show: +- Detailed information about each API request +- Error messages and debugging information +- Server status updates + +## Troubleshooting Guide + + +Enable **Verbose Server Logs** for detailed error messages. + + +**1. Common Issues** + - Confirm the server is running + - Check if model is successfully loaded in Jan + + - Check if the port is already in use by another application + - Verify you have admin/sudo rights if needed + - Make sure your API endpoint matches your server settings. Example: Using `http://localhost:1337` when you set a different port. + - Make sure the model name in your API request matches exactly what's shown in Jan. Example: If you selected "Llama 3.2 1B Instruct Q8" in Jan, use `llama3.2-1b-instruct` in your API request. + - Verify your JSON request format is correct + - Verify firewall settings + - Look for detailed error messages in the logs + +**2. CORS Errors in Web Apps** + - Enable CORS in server settings if using from a webpage + - Verify the origin of the request + - Verify your web app's request URL matches the server address exactly + - Check browser console for specific error messages + +**3. Performance Issues** + - Monitor system resources (CPU, RAM, and GPU usage) + - Try to reduce the context length or `ngl` (number of GPU layers) + - Check for other resource-intensive applications diff --git a/docs/src/pages/docs/assistants.mdx b/docs/src/pages/docs/assistants.mdx index 7f2af63e0..6a895c815 100644 --- a/docs/src/pages/docs/assistants.mdx +++ b/docs/src/pages/docs/assistants.mdx @@ -20,15 +20,47 @@ keywords: import { Callout, Steps } from 'nextra/components' # Assistants -This guide explains how to set the Assistant instructions in the Jan application. +Assistant is a configuration profile that determines how the AI should behave and respond to your inputs. It consists of: +- A set of instructions that guide the AI's behavior +- Model settings for AI responses +- Tool configurations (like [knowlegde retrieval](/docs/tools/retrieval) settings) + +Currently, Jan comes with a single default Assistant named **Jan**, which is used across all your threads. We're working on the ability to create and switch between multiple assistants. + +## Set Assistant Instructions +By modifying assistant instructions, you can customize how Jan understands and responds to your queries, what context it should consider, and how it should format its responses. + +1. In any **Thread**, click the **Assistant** tab in the **right sidebar** +2. Enter your custom instructions in **Instructions** input field +3. Your instructions will be applied to the current thread right after you click out of the instruction field . + +![Set Instructions](./_assets/quick-start-02.png) + +**Best Practices for Instructions:** +- Be clear and specific about the desired behavior +- Include any consistent preferences for formatting, tone, or style + +**Examples:** +``` +Act as a software development mentor focused on Python and JavaScript. +Provide detailed explanations with code examples when relevant. +Use markdown formatting for code blocks. +``` +``` +Respond in a casual, friendly tone. Keep explanations brief and use simple language. +Provide examples when explaining complex topics. +``` + + +## Apply Instructions to New Threads +You can save Assistant instructions to be automatically applied to all new threads: + +1. In any **Thread**, click the **Assistant** tab in the **right sidebar** +2. Toggle the **Save instructions for new threads** slider +3. When enabled, all **new threads** will use these instructions as their default, old threads are not affected -## Applied the Instructions to All Threads -To apply the instructions to all the new threads, follow these steps: -1. Select a **Thread**. -2. Click the **Assistant** tab. -3. Toggle the **slider** to ensure these instructions are applied to all new threads. (Activate the **Experimental Mode** feature to enable this option.)
-![Assistant Slider](./_assets/assistant-slider.png) +![Assistant Slider](./_assets/assistant-01.png)
\ No newline at end of file diff --git a/docs/src/pages/docs/built-in/_meta.json b/docs/src/pages/docs/built-in/_meta.json deleted file mode 100644 index 0b15c47f2..000000000 --- a/docs/src/pages/docs/built-in/_meta.json +++ /dev/null @@ -1,10 +0,0 @@ -{ - "llama-cpp": { - "title": "llama.cpp", - "href": "/docs/built-in/llama-cpp" - }, - "tensorrt-llm": { - "title": "TensorRT-LLM", - "href": "/docs/built-in/tensorrt-llm" - } -} diff --git a/docs/src/pages/docs/built-in/llama-cpp.mdx b/docs/src/pages/docs/built-in/llama-cpp.mdx deleted file mode 100644 index 5b7b0453a..000000000 --- a/docs/src/pages/docs/built-in/llama-cpp.mdx +++ /dev/null @@ -1,137 +0,0 @@ ---- -title: llama.cpp -description: A step-by-step guide on how to customize the llama.cpp engine. -keywords: - [ - Jan, - Customizable Intelligence, LLM, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - Llama CPP integration, - llama.cpp Engine, - Intel CPU, - AMD CPU, - NVIDIA GPU, - AMD GPU Radeon, - Apple Silicon, - Intel Arc GPU, - ] ---- - -import { Tabs } from 'nextra/components' -import { Callout, Steps } from 'nextra/components' - -# llama.cpp (Default) - -## Overview - -Jan has a default [C++ inference server](https://github.com/janhq/cortex) built on top of [llama.cpp](https://github.com/ggerganov/llama.cpp). This server provides an OpenAI-compatible API, queues, scaling, and additional features on top of the wide capabilities of `llama.cpp`. - -## llama.cpp Engine - -This guide shows you how to initialize the `llama.cpp` to download and install the required dependencies to start chatting with a model using the `llama.cpp` engine. - -## Prerequisites -- Mac Intel: - - Make sure you're using an Intel-based Mac. For a complete list of supported Intel CPUs, please see [here](https://en.wikipedia.org/wiki/MacBook_Pro_(Intel-based)). - - For Mac Intel, it is recommended to utilize smaller models. -- Mac Sillicon: - - Make sure you're using a Mac Silicon. For a complete list of supported Apple Silicon CPUs, please see [here](https://en.wikipedia.org/wiki/Apple_Silicon). - - Using an adequate model size based on your hardware is recommended for Mac Silicon. - - This can use Apple GPU with Metal by default for acceleration. Apple ANE is not supported yet. - -- Windows: - - Ensure that you have **Windows with x86_64** architecture. -- Linux: - - Ensure that you have **Linux with x86_64** architecture. - -#### GPU Acceleration Options -Enable the GPU acceleration option within the Jan application by following the [Installation Setup](/docs/desktop-installation) guide. -## Step-by-step Guide - -### Step 1: Open the `model.json` -1. Navigate to the **Advanced Settings**. -
-![Settings](../_assets/advance-set.png) -
-2. On the **Jan Data Folder** click the **folder icon (📂)** to access the data. -
-![Jan Data Folder](../_assets/data-folder.png) -
-3. Select **models** folder > Click the **name** of the model folder that you want to modify > click the `model.json`. -4. This will open up a `model.json`. For example, the `model.json` of `TinyLlama Chat 1.1B Q4` is shown below: -```json -{ - "sources": [ - { - "filename": "tinyllama-1.1b-chat-v1.0.Q4_K_M.gguf", - "url": "https://huggingface.co/TheBloke/TinyLlama-1.1B-Chat-v1.0-GGUF/resolve/main/tinyllama-1.1b-chat-v1.0.Q4_K_M.gguf" - } - ], - "id": "tinyllama-1.1b", - "object": "model", - "name": "TinyLlama Chat 1.1B Q4", - "version": "1.0", - "description": "TinyLlama is a tiny model with only 1.1B. It's a good model for less powerful computers.", - "format": "gguf", - "settings": { - "ctx_len": 4096, - "prompt_template": "<|system|>\n{system_message}<|user|>\n{prompt}<|assistant|>", - "llama_model_path": "tinyllama-1.1b-chat-v1.0.Q4_K_M.gguf" - }, - "parameters": { - "temperature": 0.7, - "top_p": 0.95, - "stream": true, - "max_tokens": 2048, - "stop": [], - "frequency_penalty": 0, - "presence_penalty": 0 - }, - "metadata": { - "author": "TinyLlama", - "tags": [ - "Tiny", - "Foundation Model" - ], - "size": 669000000 - }, - "engine": "nitro" -} -``` -### Step 2: Modify the `model.json` -1. Modify the model's engine settings under the settings array. You can modify the settings with the following parameters: - -| Parameter | Type | Description | -| --------------- | ----------- | ---------------------------------------------------------------------------------------------------------------------------------- | -| `ctx_len` | **Integer** | Provides ample context for model operations like `GPT-3.5`. The default value is `2048` (_Maximum_: `4096`, _Minimum_: `1`). | -| `prompt_template` | **String** | Defines the template used to format prompts | -| `model_path` | **String** | Specifies the path to the model `.GGUF` file. | -| `ngl` | **Integer** | Determines GPU layer usage. The default value is `100`. | -| `cpu_threads` | **Integer** | Determines CPU inference threads, limited by hardware and OS. (_Maximum_ determined by system) | -| `cont_batching` | **Integer** | Controls continuous batching, enhancing throughput for LLM inference. | -| `embedding` | **Integer** | Enables embedding utilization for tasks like document-enhanced chat in RAG-based applications. | -2. Save the `model.json` file. - - If you use a different model, you must set it up again. As this only affects the selected model. - -### Step 3: Start the Model -1. Restart the Jan application to apply your settings. -2. Navigate to the **Threads**. -3. Chat with your model. - - - - To utilize the embedding feature, include the JSON parameter `"embedding": true`. It will enable Nitro to process inferences with embedding capabilities. Please refer to the [Embedding in the Nitro documentation](https://nitro.jan.ai/features/embed) for a more detailed explanation. - - To utilize the continuous batching feature for boosting throughput and minimizing latency in large language model (LLM) inference, include `cont_batching: true`. For details, please refer to the [Continuous Batching in the Nitro documentation](https://nitro.jan.ai/features/cont-batch). - - - - - If you have questions, please join our [Discord community](https://discord.gg/Dt7MxDyNNZ) for support, updates, and discussions. - diff --git a/docs/src/pages/docs/built-in/tensorrt-llm.mdx b/docs/src/pages/docs/built-in/tensorrt-llm.mdx deleted file mode 100644 index b165dedc9..000000000 --- a/docs/src/pages/docs/built-in/tensorrt-llm.mdx +++ /dev/null @@ -1,91 +0,0 @@ ---- -title: TensorRT-LLM -description: A step-by-step guide on customizing the TensorRT-LLM engine. -keywords: - [ - Jan, - Customizable Intelligence, LLM, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - TensorRT-LLM Engine, - TensorRT, - tensorRT, - engine, - ] ---- - -import { Callout, Steps } from 'nextra/components' - -# TensorRT-LLM - -## Overview - -This guide walks you through installing Jan's official [TensorRT-LLM Engine](https://github.com/janhq/nitro-tensorrt-llm). This engine uses [Cortex-TensorRT-LLM](https://github.com/janhq/cortex.tensorrt-llm) as the AI engine instead of the default [Cortex-Llama-CPP](https://github.com/janhq/cortex). It includes an efficient C++ server that executes the [TRT-LLM C++ runtime](https://nvidia.github.io/TensorRT-LLM/gpt_runtime.html) natively. It also includes features and performance improvements like OpenAI compatibility, tokenizer improvements, and queues. - - - This feature is only available for Windows users. Linux is coming soon. - - -### Pre-requisites - -- A **Windows** PC. -- **Nvidia GPU(s)**: Ada or Ampere series (i.e. RTX 4000s & 3000s). More will be supported soon. -- Sufficient disk space for the TensorRT-LLM models and data files (space requirements vary depending on the model size). - - - -### Step 1: Install TensorRT-Extension - -1. Click the **Gear Icon (⚙️)** on the bottom left of your screen. -
-![Settings](../_assets/settings.png) -
-2. Select the **TensorRT-LLM** under the **Model Provider** section. -
-![Click Tensor](../_assets/tensor.png) -
-3. Click **Install** to install the required dependencies to use TensorRT-LLM. -
-![Install Extension](../_assets/install-tensor.png) -
-3. Check that files are correctly downloaded. - -```bash -ls ~/jan/data/extensions/@janhq/tensorrt-llm-extension/dist/bin -# Your Extension Folder should now include `nitro.exe`, among other artifacts needed to run TRT-LLM -``` - -### Step 2: Download a Compatible Model - -TensorRT-LLM can only run models in `TensorRT` format. These models, aka "TensorRT Engines", are prebuilt for each target OS+GPU architecture. - -We offer a handful of precompiled models for Ampere and Ada cards that you can immediately download and play with: - -1. Restart the application and go to the Hub. -2. Look for models with the `TensorRT-LLM` label in the recommended models list > Click **Download**. - - - This step might take some time. 🙏 - - -![image](https://hackmd.io/_uploads/rJewrEgRp.png) - -3. Click **Download** to download the model. - -### Step 3: Configure Settings - -1. Navigate to the Thread section. -2. Select the model that you have downloaded. -3. Customize the default parameters of the model for how Jan runs TensorRT-LLM. - - Please see [here](/docs/models/model-parameters) for more detailed model parameters. - -
-![Specific Conversation](../_assets/model-parameters.png) - - \ No newline at end of file diff --git a/docs/src/pages/docs/configure-extensions.mdx b/docs/src/pages/docs/configure-extensions.mdx new file mode 100644 index 000000000..c72d8c6a5 --- /dev/null +++ b/docs/src/pages/docs/configure-extensions.mdx @@ -0,0 +1,301 @@ +--- +title: Configure Extensions +description: Learn about Jan's default extensions and explore how to configure them. + [ + Jan, + Customizable Intelligence, LLM, + local AI, + privacy focus, + free and open source, + private and offline, + conversational AI, + no-subscription fee, + large language models, + Jan Extensions, + Extensions, + ] +--- + +# Configure Extensions +Extensions in Jan are configured through a JSON file that defines their behavior and metadata. While most users won't need to modify this file directly, advanced users can customize extension settings for specific needs. + +## Access extensions.json + +1. Navigate to [Jan Data Folder](/docs/data-folder): +2. Open the `extensions.json` file in any text editor + +## Configuration Options + +| Option | Description | Example | +|--------|-------------|---------| +| `_active` | Enable/disable the extension | `true` or `false` | +| `listeners` | Event listeners configuration | `{}` for default | +| `origin` | Installation path of the extension | `"C:\\Users\\...\\jan\\resources\\app.asar.unpacked\\..."` | +| `installOptions` | Installation configuration | `{"version": false, "fullMetadata": true}` | +| `name` | Internal extension identifier | `"@janhq/conversational-extension"` | +| `productName` | Display name shown in UI | `"Conversational"` | +| `version` | Extension version number | `"1.0.0"` | +| `main` | Entry point file path | `"dist/index.js"` | +| `description` | Extension description | `"This extension enables conversations..."` | +| `url` | Extension repository URL | `"extension://@janhq/conversational-extension/dist/index.js"` | + +## Full Example Configuration + +```json title="~/jan/data/extensions/extensions.json" +{ + "@janhq/conversational-extension": { + "_active": true, + "listeners": {}, + "origin": "C:\\Users\\ACER\\AppData\\Local\\Programs\\jan\\resources\\app.asar.unpacked\\pre-install\\janhq-conversational-extension-1.0.0.tgz", + "installOptions": { + "version": false, + "fullMetadata": true + }, + "name": "@janhq/conversational-extension", + "productName": "Conversational", + "version": "1.0.0", + "main": "dist/index.js", + "description": "This extension enables conversations and state persistence via your filesystem", + "url": "extension://@janhq/conversational-extension/dist/index.js" + }, + "@janhq/inference-anthropic-extension": { + "_active": true, + "listeners": {}, + "origin": "C:\\Users\\ACER\\AppData\\Local\\Programs\\jan\\resources\\app.asar.unpacked\\pre-install\\janhq-inference-anthropic-extension-1.0.2.tgz", + "installOptions": { + "version": false, + "fullMetadata": true + }, + "name": "@janhq/inference-anthropic-extension", + "productName": "Anthropic Inference Engine", + "version": "1.0.2", + "main": "dist/index.js", + "description": "This extension enables Anthropic chat completion API calls", + "url": "extension://@janhq/inference-anthropic-extension/dist/index.js" + }, + "@janhq/inference-triton-trt-llm-extension": { + "_active": true, + "listeners": {}, + "origin": "C:\\Users\\ACER\\AppData\\Local\\Programs\\jan\\resources\\app.asar.unpacked\\pre-install\\janhq-inference-triton-trt-llm-extension-1.0.0.tgz", + "installOptions": { + "version": false, + "fullMetadata": true + }, + "name": "@janhq/inference-triton-trt-llm-extension", + "productName": "Triton-TRT-LLM Inference Engine", + "version": "1.0.0", + "main": "dist/index.js", + "description": "This extension enables Nvidia's TensorRT-LLM as an inference engine option", + "url": "extension://@janhq/inference-triton-trt-llm-extension/dist/index.js" + }, + "@janhq/inference-mistral-extension": { + "_active": true, + "listeners": {}, + "origin": "C:\\Users\\ACER\\AppData\\Local\\Programs\\jan\\resources\\app.asar.unpacked\\pre-install\\janhq-inference-mistral-extension-1.0.1.tgz", + "installOptions": { + "version": false, + "fullMetadata": true + }, + "name": "@janhq/inference-mistral-extension", + "productName": "MistralAI Inference Engine", + "version": "1.0.1", + "main": "dist/index.js", + "description": "This extension enables Mistral chat completion API calls", + "url": "extension://@janhq/inference-mistral-extension/dist/index.js" + }, + "@janhq/inference-martian-extension": { + "_active": true, + "listeners": {}, + "origin": "C:\\Users\\ACER\\AppData\\Local\\Programs\\jan\\resources\\app.asar.unpacked\\pre-install\\janhq-inference-martian-extension-1.0.1.tgz", + "installOptions": { + "version": false, + "fullMetadata": true + }, + "name": "@janhq/inference-martian-extension", + "productName": "Martian Inference Engine", + "version": "1.0.1", + "main": "dist/index.js", + "description": "This extension enables Martian chat completion API calls", + "url": "extension://@janhq/inference-martian-extension/dist/index.js" + }, + "@janhq/inference-openrouter-extension": { + "_active": true, + "listeners": {}, + "origin": "C:\\Users\\ACER\\AppData\\Local\\Programs\\jan\\resources\\app.asar.unpacked\\pre-install\\janhq-inference-openrouter-extension-1.0.0.tgz", + "installOptions": { + "version": false, + "fullMetadata": true + }, + "name": "@janhq/inference-openrouter-extension", + "productName": "OpenRouter Inference Engine", + "version": "1.0.0", + "main": "dist/index.js", + "description": "This extension enables Open Router chat completion API calls", + "url": "extension://@janhq/inference-openrouter-extension/dist/index.js" + }, + "@janhq/inference-nvidia-extension": { + "_active": true, + "listeners": {}, + "origin": "C:\\Users\\ACER\\AppData\\Local\\Programs\\jan\\resources\\app.asar.unpacked\\pre-install\\janhq-inference-nvidia-extension-1.0.1.tgz", + "installOptions": { + "version": false, + "fullMetadata": true + }, + "name": "@janhq/inference-nvidia-extension", + "productName": "NVIDIA NIM Inference Engine", + "version": "1.0.1", + "main": "dist/index.js", + "description": "This extension enables NVIDIA chat completion API calls", + "url": "extension://@janhq/inference-nvidia-extension/dist/index.js" + }, + "@janhq/inference-groq-extension": { + "_active": true, + "listeners": {}, + "origin": "C:\\Users\\ACER\\AppData\\Local\\Programs\\jan\\resources\\app.asar.unpacked\\pre-install\\janhq-inference-groq-extension-1.0.1.tgz", + "installOptions": { + "version": false, + "fullMetadata": true + }, + "name": "@janhq/inference-groq-extension", + "productName": "Groq Inference Engine", + "version": "1.0.1", + "main": "dist/index.js", + "description": "This extension enables fast Groq chat completion API calls", + "url": "extension://@janhq/inference-groq-extension/dist/index.js" + }, + "@janhq/inference-openai-extension": { + "_active": true, + "listeners": {}, + "origin": "C:\\Users\\ACER\\AppData\\Local\\Programs\\jan\\resources\\app.asar.unpacked\\pre-install\\janhq-inference-openai-extension-1.0.2.tgz", + "installOptions": { + "version": false, + "fullMetadata": true + }, + "name": "@janhq/inference-openai-extension", + "productName": "OpenAI Inference Engine", + "version": "1.0.2", + "main": "dist/index.js", + "description": "This extension enables OpenAI chat completion API calls", + "url": "extension://@janhq/inference-openai-extension/dist/index.js" + }, + "@janhq/inference-cohere-extension": { + "_active": true, + "listeners": {}, + "origin": "C:\\Users\\ACER\\AppData\\Local\\Programs\\jan\\resources\\app.asar.unpacked\\pre-install\\janhq-inference-cohere-extension-1.0.0.tgz", + "installOptions": { + "version": false, + "fullMetadata": true + }, + "name": "@janhq/inference-cohere-extension", + "productName": "Cohere Inference Engine", + "version": "1.0.0", + "main": "dist/index.js", + "description": "This extension enables Cohere chat completion API calls", + "url": "extension://@janhq/inference-cohere-extension/dist/index.js" + }, + "@janhq/model-extension": { + "_active": true, + "listeners": {}, + "origin": "C:\\Users\\ACER\\AppData\\Local\\Programs\\jan\\resources\\app.asar.unpacked\\pre-install\\janhq-model-extension-1.0.33.tgz", + "installOptions": { + "version": false, + "fullMetadata": true + }, + "name": "@janhq/model-extension", + "productName": "Model Management", + "version": "1.0.33", + "main": "dist/index.js", + "description": "Model Management Extension provides model exploration and seamless downloads", + "url": "extension://@janhq/model-extension/dist/index.js" + }, + "@janhq/monitoring-extension": { + "_active": true, + "listeners": {}, + "origin": "C:\\Users\\ACER\\AppData\\Local\\Programs\\jan\\resources\\app.asar.unpacked\\pre-install\\janhq-monitoring-extension-1.0.10.tgz", + "installOptions": { + "version": false, + "fullMetadata": true + }, + "name": "@janhq/monitoring-extension", + "productName": "System Monitoring", + "version": "1.0.10", + "main": "dist/index.js", + "description": "This extension provides system health and OS level data", + "url": "extension://@janhq/monitoring-extension/dist/index.js" + }, + "@janhq/assistant-extension": { + "_active": true, + "listeners": {}, + "origin": "C:\\Users\\ACER\\AppData\\Local\\Programs\\jan\\resources\\app.asar.unpacked\\pre-install\\janhq-assistant-extension-1.0.1.tgz", + "installOptions": { + "version": false, + "fullMetadata": true + }, + "name": "@janhq/assistant-extension", + "productName": "Jan Assistant", + "version": "1.0.1", + "main": "dist/index.js", + "description": "This extension enables assistants, including Jan, a default assistant that can call all downloaded models", + "url": "extension://@janhq/assistant-extension/dist/index.js" + }, + "@janhq/tensorrt-llm-extension": { + "_active": true, + "listeners": {}, + "origin": "C:\\Users\\ACER\\AppData\\Local\\Programs\\jan\\resources\\app.asar.unpacked\\pre-install\\janhq-tensorrt-llm-extension-0.0.3.tgz", + "installOptions": { + "version": false, + "fullMetadata": true + }, + "name": "@janhq/tensorrt-llm-extension", + "productName": "TensorRT-LLM Inference Engine", + "version": "0.0.3", + "main": "dist/index.js", + "description": "This extension enables Nvidia's TensorRT-LLM for the fastest GPU acceleration. See the [setup guide](https://jan.ai/guides/providers/tensorrt-llm/) for next steps.", + "url": "extension://@janhq/tensorrt-llm-extension/dist/index.js" + }, + "@janhq/inference-cortex-extension": { + "_active": true, + "listeners": {}, + "origin": "C:\\Users\\ACER\\AppData\\Local\\Programs\\jan\\resources\\app.asar.unpacked\\pre-install\\janhq-inference-cortex-extension-1.0.15.tgz", + "installOptions": { + "version": false, + "fullMetadata": true + }, + "name": "@janhq/inference-cortex-extension", + "productName": "Cortex Inference Engine", + "version": "1.0.15", + "main": "dist/index.js", + "description": "This extension embeds cortex.cpp, a lightweight inference engine written in C++. See https://nitro.jan.ai.\nAdditional dependencies could be installed to run without Cuda Toolkit installation.", + "url": "extension://@janhq/inference-cortex-extension/dist/index.js" + } +} +``` + +## Common Use Cases + +1. **Disable an Extension** + ```json + { + "@janhq/example-extension": { + "_active": false + // other settings... + } + } + ``` + +2. **Update Entry Point** + ```json + { + "@janhq/example-extension": { + "main": "new/path/index.js" + // other settings... + } + } + ``` + +## Important Notes + +- Always backup the `extensions.json` file before making changes +- Invalid JSON syntax can prevent Jan from starting properly +- Most users should manage extensions through Jan's Settings UI +- Changes require restarting Jan to take effect diff --git a/docs/src/pages/docs/data-folder.mdx b/docs/src/pages/docs/data-folder.mdx index 8d7999759..a77cd6772 100644 --- a/docs/src/pages/docs/data-folder.mdx +++ b/docs/src/pages/docs/data-folder.mdx @@ -21,29 +21,34 @@ keywords: import { Tabs } from 'nextra/components' import { Callout, Steps } from 'nextra/components' +import { Settings, FolderOpen } from 'lucide-react' + # Jan Data Folder Jan stores your data locally in your own filesystem in a universal file format (JSON). We build for privacy by default and do not collect or sell your data. This guide helps you understand where and how this data is stored. -## Open the Data Folder +## Open Jan Data Folder -To open the Jan data folder from the app: -1. Click the System monitor button on your Jan app. -2. Click the App Log button. -3. This redirects you to the Jan data folder. +To open from Jan's interface: +1. In Jan, navigate to **Settings** () > **Advanced Settings** +2. Click icon to open Jan Data Folder +
+![Open Jan Data Folder](./_assets/settings-11.png) +
+To open through Terminal: ```bash # Windows -~/AppData/Roaming/Jan/data +%APPDATA%/Jan/data # Mac -~/Library/Application\ Support/Jan/data +~/Library/Application Support/Jan/data # Linux ## Custom installation directory -$XDG_CONFIG_HOME = /home/username/custom_config +$XDG_CONFIG_HOME/Jan/data or @@ -233,18 +238,8 @@ Threads history is kept in this directory. Each session or thread is stored in a | `model` | The selected model and its settings/parameters for the thread. Changes made by users to thread settings are written here, rather than in model.json. Also contains the ID and engine of the selected model for quick querying by extensions. | | `metadata` | Additional thread data, such as `lastMessage`, which provides GUI information but does not use OpenAI-compatible fields. | -## Open the Data Folder - -To open the Jan data folder, follow the steps in the [Settings](/docs/settings#access-the-jan-data-folder) guide. ## Delete Jan Data Folder -If you have uninstalled the Jan app, you may also want to delete the Jan data folder. You can automatically remove this folder during uninstallation by selecting **OK** when prompted. - -![Delete Data Folder](./_assets/delete-data.png) - -If you missed this step and need to delete the folder manually, please follow these instructions: - -1. Go to the root data folder in your Users directory. -2. Locate the Jan data folder. -3. Delete the folder manually. \ No newline at end of file +If you have uninstalled Jan, you may also want to delete the Jan data folder. +See detail instructions on [Mac](/docs/desktop/mac#step-2-clean-up-data-optional), [Window](/docs/desktop/windows#step-2-handle-jan-data), [Linux](docs/desktop/linux#uninstall-jan). \ No newline at end of file diff --git a/docs/src/pages/docs/desktop.mdx b/docs/src/pages/docs/desktop.mdx index c7f0de4c9..ba59ae0da 100644 --- a/docs/src/pages/docs/desktop.mdx +++ b/docs/src/pages/docs/desktop.mdx @@ -1,5 +1,5 @@ --- -title: Desktop Installation +title: Installation description: Jan is a ChatGPT-alternative that runs on your computer, with a local API server. keywords: [ @@ -20,7 +20,7 @@ keywords: import { Cards, Card } from 'nextra/components' import childPages from './desktop/_meta.json'; -# Desktop Installation +# Installation
diff --git a/docs/src/pages/docs/desktop/linux.mdx b/docs/src/pages/docs/desktop/linux.mdx index d82ca4503..188ab100b 100644 --- a/docs/src/pages/docs/desktop/linux.mdx +++ b/docs/src/pages/docs/desktop/linux.mdx @@ -20,179 +20,167 @@ keywords: ] --- -import { Tabs } from 'nextra/components' -import { Callout } from 'nextra/components' + import FAQBox from '@/components/FaqBox' +import { Tabs, Callout, Steps } from 'nextra/components' +import { Settings } from 'lucide-react' + # Linux Installation To install Jan desktop on Linux, follow the steps below: ## Compatibility - Ensure that your system meets the following requirements to use Jan effectively: + + -- Debian-based (Supports `.deb` and `AppImage` ) - - Ubuntu-based - - Ubuntu Desktop LTS (official)/ Ubuntu Server LTS (only for server) - - Edubuntu (Mainly desktop) - - Kubuntu (Desktop only) - - Lubuntu (Both desktop and server, though mainly desktop) - - Ubuntu Budgie (Mainly desktop) - - Ubuntu Cinnamon (Desktop only) - - Ubuntu Kylin (Both desktop and server) - - Ubuntu MATE (Desktop only) -- Pacman-based - - Arch Linux based - - Arch Linux (Mainly desktop) - - SteamOS (Desktop only) -- RPM-based (Supports `.rpm` and `AppImage` ) -- Fedora-based - - RHEL-based (Server only) +#### Debian-based (Supports `.deb` and `AppImage`) +- Debian +- Ubuntu and derivatives: + - Ubuntu Desktop LTS (official)/Ubuntu Server LTS (only for server) + - Edubuntu (Mainly desktop) + - Kubuntu (Desktop only) + - Lubuntu (Both desktop and server, though mainly desktop) + - Ubuntu Budgie (Mainly desktop) + - Ubuntu Cinnamon (Desktop only) + - Ubuntu Kylin (Both desktop and server) + - Ubuntu MATE (Desktop only) + +#### RHEL-based (Supports `.rpm` and `AppImage`) +- RHEL-based (Server only) +- Fedora + +#### Arch-based +- Arch Linux (Mainly desktop) +- SteamOS (Desktop only) + +#### Independent - openSUSE (Both desktop and server) - - - Please check whether your Linux distribution supports desktop, server, or both environments. - - - - - - -- Jan supports a processor that can handle AVX2. For the full list, please see [here](https://en.wikipedia.org/wiki/Advanced_Vector_Extensions#CPUs_with_AVX2). -- We support older processors with AVX and AVX-512, though this is not recommended. +Please check whether your Linux distribution supports desktop, server, or both environments. -- Haswell processors (Q2 2013) and newer. -- Tiger Lake (Q3 2020) and newer for Celeron and Pentium processors. + +- Haswell processors (Q2 2013) and newer +- Tiger Lake (Q3 2020) and newer for Celeron and Pentium processors +- Excavator processors (Q2 2015) and newer + -- Jan supports a processor that can handle AVX2. For the full list, please see [here](https://en.wikipedia.org/wiki/Advanced_Vector_Extensions#CPUs_with_AVX2). -- We support older processors with AVX and AVX-512, though this is not recommended. +Jan requires a processor with **AVX2 or newer** for optimal performance. See [full list of supported processors](https://en.wikipedia.org/wiki/Advanced_Vector_Extensions#CPUs_with_AVX2). While Jan may run on processors with only AVX support, performance will be significantly reduced. -- Excavator processors (Q2 2015) and newer. + + +- 8GB → up to 3B parameter models (int4) +- 16GB → up to 7B parameter models (int4) +- 32GB → up to 13B parameter models (int4) + + +DDR2 RAM minimum supported, newer generations recommended for better performance. + + + + +- 6GB → up to 3B parameter models (int4) +- 8GB → up to 7B parameter models (int4) +- 12GB → up to 13B parameter models (int4) + + +Minimum 6GB VRAM recommended for NVIDIA, AMD, or Intel Arc GPUs. + + + + +At least **10GB** for app installation and model downloads. + + - - -- 8GB for running up to 3B models (int4). -- 16GB for running up to 7B models (int4). -- 32GB for running up to 13B models (int4). - -We support DDR2 RAM as the minimum requirement but recommend using newer generations of RAM for improved performance. - - - - -- 6GB can load the 3B model (int4) with `ngl` at 120 ~ full speed on CPU/ GPU. -- 8GB can load the 7B model (int4) with `ngl` at 120 ~ full speed on CPU/ GPU. -- 12GB can load the 13B model (int4) with `ngl` at 120 ~ full speed on CPU/ GPU. - - -Having at least 6GB VRAM when using NVIDIA, AMD, or Intel Arc GPUs is recommended. - - - - -- At least 10GB for app storage and model download. - - -## Prerequisites - -- **System Libraries**: - - glibc 2.27 or higher. You can verify this by running `ldd --version`. - - Install gcc-11, g++-11, cpp-11, or later versions. Refer to the [Ubuntu installation guide](https://gcc.gnu.org/projects/cxx-status.html#cxx17) for assistance. -- **Post-Installation Actions**: - - Add CUDA libraries to the `LD_LIBRARY_PATH` per the instructions in the [Post-installation Actions](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#post-installation-actions). - -## Installing Jan +## Install Jan To install Jan, follow the steps below: -### Step 1: Download the Jan Application + -Jan provides two types of releases: - +### Step 1: Download Application + +Jan provides 3 types of releases: + -#### Stable Releases +Please download Jan from official distributions, or build it from source. + - Download Jan on **Ubuntu**: [jan.deb](https://app.jan.ai/download/latest/linux-amd64-deb) + - Download Jan on **Fedora**: [jan.AppImage](https://app.jan.ai/download/latest/linux-amd64-appimage) +- Official Website: https://jan.ai/download -The stable release is a stable version of Jan. You can download a stable release Jan app via the following: + + -- **Official Website**: [https://jan.ai](https://jan.ai/) -- **Jan GitHub repository**: [Github](https://github.com/janhq/jan/releases) +Beta releases let you test new features, which may be buggy: + - Download Jan's Beta Version on **Ubuntu**: [jan.deb](https://app.jan.ai/download/beta/linux-amd64-deb) + - Download Jan's Beta Version on **Fedora**: [jan.AppImage](https://app.jan.ai/download/beta/linux-amd64-appimage) -Make sure to verify the URL to ensure that it's the official Jan website and GitHub repository. +Keep in mind that this build might crash frequently or contain bugs! -#### Nightly Releases -The nightly Release allows you to test out new features and get a sneak peek at what might be included in future stable releases. You can download this version via: +Nightly releases are for internal team to test new feature builds everyday, which is very buggy: -- **Jan GitHub repository**: [Github](https://github.com/janhq/jan/actions/workflows/jan-electron-build-nightly.yml) + - Download Jan's Nightly Version on **Ubuntu**: [jan.deb](https://app.jan.ai/download/nightly/linux-amd64-deb) + - Download Jan's Nightly Version on **Fedora**: [jan.AppImage](https://app.jan.ai/download/nightly/linux-amd64-appimage) -Keep in mind that this build might crash frequently and may contain bugs! +Keep in mind that this build crashes frequently or contains bugs! -For Linux, Jan provides two types of downloads: -1. **Ubuntu**: `.deb` -2. **Fedora**: `.AppImage` - -### Step 2: Install the Jan Application +### Step 2: Install Application Here are the steps to install Jan on Linux based on your Linux distribution: + -### Ubuntu -Install Jan using the following command: - - - -``` +Install Jan using either **dpkg** or **apt-get**: +##### dpkg +```bash # Install Jan using dpkg sudo dpkg -i jan-linux-amd64-{version}.deb - ``` - - -```json +##### apt-get +```bash # Install Jan using apt-get sudo apt-get install ./jan-linux-amd64-{version}.deb # where jan-linux-amd64-{version}.deb is the path to the Jan package ``` - - + -### Fedora - 1. Make the AppImage executable using the following command: - -``` - chmod +x jan-linux-x86_64-{version}.AppImage - +```bash +chmod +x jan-linux-x86_64-{version}.AppImage ``` 2. Run the AppImage file using the following command: - -``` - ./jan-linux-x86_64-{version}.AppImage - +```bash +./jan-linux-x86_64-{version}.AppImage ``` + + + + ## Data Folder By default, Jan is installed in the following directory: -``` +```bash # Custom installation directory $XDG_CONFIG_HOME = /home/username/custom_config @@ -202,65 +190,105 @@ or ~/.config/Jan/data ``` +See [Jan Data Folder](/docs/data-folder) for more details about the data folder structure. - -- Please see the [Jan Data Folder](/docs/data-folder) for more details about the data folder structure. - ## GPU Acceleration - Once Jan is installed and you have a GPU, you can use your GPU to accelerate the model's performance. -### NVIDIA GPU + -To enable the use of your NVIDIA GPU in the Jan app, follow the steps below: + + - -Ensure that you have installed the following to use NVIDIA GPU: -- NVIDIA GPU with CUDA Toolkit 11.7 or higher. -- NVIDIA driver 470.63.01 or higher. +### Step 1: Verify Hardware & Install Dependencies +**1.1. Check GPU Detection** - +To verify that your system recognizes the NVIDIA GPU: +``` +lspci | grep -i nvidia +``` + +**1.2. Install Required components** +**NVIDIA Driver:** +1. Install [NVIDIA Driver](https://www.nvidia.com/en-us/drivers/) for your GPU (NVIDIA driver **470.63.01 or higher**). +2. Verify installation: + +``` +nvidia-smi +``` +Expected output should show your GPU model and driver version. + +**CUDA Toolkit:** +1. Download and install [CUDA toolkit](https://developer.nvidia.com/cuda-downloads) (**CUDA 11.7 or higher**) +2. Verify installation: + +``` +nvcc --version +``` +**Linux Additional Requirements:** +1. Required packages are installed: +``` +sudo apt update +sudo apt install gcc-11 g++-11 cpp-11 +``` +2. Set up CUDA environment: +``` +export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64 +``` +See [detailed instructions](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#post-installation-actions). + +### Step 2: Enable GPU Acceleration +1. Navigate to **Settings** () > **Advanced Settings** +2. At **GPU Acceleration**, toggle on and select your preferred GPU(s) +3. App reload is required after the selection -1. Open Jan application. -2. Go to **Settings** -> **Advanced Settings** -> **GPU Acceleration**. -3. Enable and choose the NVIDIA GPU you want. -4. A success notification saying **Successfully turned on GPU acceleration** will appear when GPU acceleration is activated. While **Vulkan** can enable Nvidia GPU acceleration in the Jan app, **CUDA** is recommended for faster performance. - -### AMD GPU + -To enable the use of your AMD GPU in the Jan app, you need to activate the Vulkan support first by following the steps below: + -1. Open Jan application. -2. Go to **Settings** -> **Advanced Settings** -> enable the **Experimental Mode**. -3. Enable the **Vulkan Support** under the **GPU Acceleration**. -4. Enable the **GPU Acceleration** and choose the GPU you want to use. -5. A success notification saying **Successfully turned on GPU acceleration** will appear when GPU acceleration is activated. + +AMD GPUs require **Vulkan** support. -### Intel Arc GPU + + This feature is currently experimental and must be enabled through [Experimental Mode](/docs/settings#experimental-mode) in **Advanced Settings**. + -To enable the use of your Intel Arc GPU in the Jan app, you need to activate the Vulkan support first by following the steps below: +1. Navigate to **Settings** () > **Advanced Settings** +2. Enable **Experimental Mode** +3. Under **GPU Acceleration**, enable **Vulkan Support** +4. At **GPU Acceleration**, toggle on and select your preferred GPU(s) +5. App reload is required after the selection -1. Open Jan application. -2. Go to **Settings** -> **Advanced Settings** -> enable the **Experimental Mode**. -3. Enable the **Vulkan Support** under the **GPU Acceleration**. -4. Enable the **GPU Acceleration** and choose the GPU you want to use. -5. A success notification saying **Successfully turned on GPU acceleration** will appear when GPU acceleration is activated. + + +Intel Arc GPUs require **Vulkan** support. -## Uninstalling Jan + + This feature is currently experimental and must be enabled through [Experimental Mode](/docs/settings#experimental-mode) in **Advanced Settings**. + -To uninstall Jan, follow the steps below: +1. Navigate to **Settings** () > **Advanced Settings** +2. Enable **Experimental Mode** +3. Under **GPU Acceleration**, enable **Vulkan Support** +4. At **GPU Acceleration**, toggle on and select your preferred GPU(s) +5. App reload is required after the selection + + + + +## Uninstall Jan + +Open **Terminal** and run these commands to remove all Jan-related data: -### Ubuntu - ```bash # Uninstall Jan sudo apt-get remove jan @@ -276,7 +304,6 @@ rm -rf ~/.config/Jan/cache ``` -### Fedora ```bash # Uninstall Jan @@ -291,9 +318,8 @@ rm -rf ~/.config/Jan/cache - -The deleted Data Folder cannot be restored. - + +Deleted data folders cannot be restored. Make sure to backup any important data before proceeding with deletion. {/* ## FAQs diff --git a/docs/src/pages/docs/desktop/mac.mdx b/docs/src/pages/docs/desktop/mac.mdx index b1f952da7..6dac155dc 100644 --- a/docs/src/pages/docs/desktop/mac.mdx +++ b/docs/src/pages/docs/desktop/mac.mdx @@ -21,105 +21,89 @@ keywords: --- import { Tabs } from 'nextra/components' -import { Callout } from 'nextra/components' import FAQBox from '@/components/FaqBox' +import { Callout, Steps } from 'nextra/components' + # Mac Installation Jan has been developed as a Mac Universal application, allowing it to run natively on both Apple Silicon and Intel-based Macs. ## Compatibility - +### Minimum Requirements Ensure that your system meets the following requirements to use Jan effectively: - - - - -- MacOSX 13.6 or higher. - - -- 8GB for running up to 3B models. -- 16GB for running up to 7B models. -- 32GB for running up to 13B models. - - -- At least 10GB for app and model download. - - - - - - -- MacOSX 13.6 or higher. - - -- 8GB for running up to 3B models. -- 16GB for running up to 7B models. -- 32GB for running up to 13B models. - -Apple Silicon Macs leverage Metal for GPU acceleration, providing faster performance than Intel Macs, which rely solely on CPU processing. +- **Operating System:** MacOSX 13.6 or higher +- **Memory:** + - 8GB → up to 3B parameter models + - 16GB → up to 7B parameter models + - 32GB → up to 13B parameter models +- **Storage:** 10GB+ free space +### Mac Performance Guide + +**Apple Silicon Macs** leverage Metal for GPU acceleration, providing faster performance than **Appple Intel Macs**, which rely solely on CPU processing. - - -- At least 10GB for app and model download. - - - - -## Installing Jan +**Apple Silicon (M1, M2, M3)** +- Metal acceleration enabled by default, no configuration required +- Optimized GPU-accelerated performance + +**Intel-based Mac** +- CPU-only processing +- Uses regular processor, works slower + +_To verify your Mac's processor architecture: Apple menu  → About This Mac._ + +## Install Jan To install Jan, follow the steps below: -### Step 1: Download the Jan Application + -Jan provides two types of releases: - +### Step 1: Download Application + +Jan provides 3 types of releases: + -#### Stable Releases - Please download Jan from official distributions, or build it from source. -- **Official Website**: [https://jan.ai](https://jan.ai/) -- **Jan GitHub repository**: [Github](https://github.com/janhq/jan/releases) +- [Download Jan's Stable Version](https://app.jan.ai/download/latest/mac-universal) +- Official Website: https://jan.ai/download + + + + +Beta releases let you test new features, which may be buggy: + +[Download Jan's Beta Version](https://app.jan.ai/download/beta/mac-universal) -Make sure to verify the URL to ensure that it's the official Jan website and GitHub repository. +Keep in mind that this build might crash frequently or contain bugs! -#### Nightly Releases -Nightly Releases let you test out new features, which may be buggy: +Nightly releases are for internal team to test new feature builds everyday, which is very buggy: -- **Jan GitHub repository**: [Github](https://github.com/janhq/jan/actions/workflows/jan-electron-build-nightly.yml) +[Download Jan's Nightly Version](https://app.jan.ai/download/nightly/mac-universal) -Keep in mind that this build might crash frequently and may contain bugs! +Keep in mind that this build crashes frequently or contains bugs! -### Step 2: Install the Jan Application -1. Once you have downloaded the Jan app `.dmg` file, open the file. -2. Drag the application icon to the Applications folder shortcut. -3. Wait for the installation process. -4. Once installed, you can access Jan on your machine. -#### Install Jan with Homebrew +### Step 2: Install Application -You can also install Jan using the following Homebrew command: +1. Download and open the Jan installer (`.dmg` file) +2. Drag the Jan icon to your **Applications** folder +3. Installation will take a few moments to complete +4. Launch Jan from your Applications folder -```bash -brew install --cask jan -``` + - -- Ensure that you have installed Homebrew and its dependencies. -- Homebrew package installation is currently limited to **Apple Silicon Macs**, with upcoming support for Windows and Linux. - -## Data Folder +## Jan Data Folder By default, Jan is installed in the following directory: @@ -127,43 +111,34 @@ By default, Jan is installed in the following directory: # Default installation directory ~/Library/Application\ Support/Jan/data ``` +See [Jan Data Folder](/docs/data-folder) for more details about the data folder structure. - -- Please see the [Jan Data Folder](/docs/data-folder) for more details about the data folder structure. - -## Metal Acceleration +## Uninstall Jan -Jan is specially designed to work well on Mac Silicon, using `llama.cpp` as its main engine for processing AI tasks efficiently. It **automatically uses [Metal](https://developer.apple.com/documentation/metal)**, Apple's latest technology that can be used for GPU acceleration, so you don’t need to turn on this feature manually. + - -💡 Metal, used for GPU acceleration, is not supported on Intel-based Mac devices. +### Step 1: Remove Application +1. If Jan is currently open, exit the app +2. Open **Finder** menu. +3. Navigate to **Applications** +4. Locate Jan (or use the search bar) +5. Remove the application using any method: + - Drag to **Trash** + - Right-click → **Move to Trash** + - Select and press **Command-Delete** - +### Step 2: Clean Up Data (Optional) -## Uninstalling Jan - -To uninstall Jan, follow the steps below: - -1. If the app is currently open, exit the app before continuing. -2. Open the **Finder** menu. -3. Click the **Applications** option from the sidebar. -4. Find the **Jan** app or type in the search bar. -5. Use any of these ways to move the **Jan** app to the Trash: -- Drag the app to the Trash. -- Select the app and choose the Move to Trash option. -- Select the app and press Command-Delete on your keyboard. -6. Use the following command to delete Jan's user data and app cache: +Open **Terminal** and run these commands to remove all Jan-related data: ```bash -# Remove all user data -rm -rf ~/jan - -# Delete the application data rm -rf ~/Library/Application\ Support/Jan/data - -# Delete the application cache -rm -rf ~/Library/Application\ Support/Jan/cache ``` + + + +Deleted data folders cannot be restored. Make sure to backup any important data before proceeding with deletion. + {/* ## FAQs diff --git a/docs/src/pages/docs/desktop/windows.mdx b/docs/src/pages/docs/desktop/windows.mdx index 30f0b9918..eed0b46b2 100644 --- a/docs/src/pages/docs/desktop/windows.mdx +++ b/docs/src/pages/docs/desktop/windows.mdx @@ -22,98 +22,97 @@ keywords: import { Tabs, Callout, Steps } from 'nextra/components' import FAQBox from '@/components/FaqBox' +import { Settings } from 'lucide-react' # Windows Installation To install Jan desktop on Windows, follow the steps below: ## Compatibility - Ensure that your system meets the following requirements to use Jan effectively: - - -- Windows 10 or higher. - - +- **Operating System**: Windows 10 or higher. +- **CPU** - -- Jan supports a processor that can handle AVX2. For the full list, please see [here](https://en.wikipedia.org/wiki/Advanced_Vector_Extensions#CPUs_with_AVX2). -- We support older processors with AVX and AVX-512, though this is not recommended. - -- Haswell processors (Q2 2013) and newer. -- Tiger Lake (Q3 2020) and newer for Celeron and Pentium processors. +- Intel: Haswell (Q2 2013) or newer +- Intel Celeron/Pentium: Tiger Lake (Q3 2020) or newer - -- Jan supports a processor that can handle AVX2. For the full list, please see [here](https://en.wikipedia.org/wiki/Advanced_Vector_Extensions#CPUs_with_AVX2). -- We support older processors with AVX and AVX-512, though this is not recommended. - - Excavator processors (Q2 2015) and newer. - - -- 8GB for running up to 3B models (int4). -- 16GB for running up to 7B models (int4). -- 32GB for running up to 13B models (int4). -We support DDR2 RAM as the minimum requirement but recommend using newer generations of RAM for improved performance. - +Jan requires a processor with **AVX2 or newer** for optimal performance. See [full list of supported processors](https://en.wikipedia.org/wiki/Advanced_Vector_Extensions#CPUs_with_AVX2). While Jan may run on processors with only AVX support, performance will be significantly reduced. - - -- 6GB can load the 3B model (int4) with `ngl` at 120 ~ full speed on CPU/ GPU. -- 8GB can load the 7B model (int4) with `ngl` at 120 ~ full speed on CPU/ GPU. -- 12GB can load the 13B model (int4) with `ngl` at 120 ~ full speed on CPU/ GPU. - + +- **Memory (RAM)** + - 8GB → up to 3B parameter models (int4) + - 16GB → up to 7B parameter models (int4) + - 32GB → up to 13B parameter models (int4) + -Having at least 6GB VRAM when using NVIDIA, AMD, or Intel Arc GPUs is recommended. - +DDR2 RAM is supported but newer RAM generations are recommended for better performance. - - -- At least 10GB for app storage and model download. - - -## Installing Jan + +- **GPU**: + - 6GB → up to 3B parameter models + - 8GB → up to 7B parameter models + - 12GB → up to 13B parameter models + + +Minimum 6GB VRAM recommended for NVIDIA, AMD, or Intel Arc GPUs. + + +- **Storage:** Minimum 10GB free space for application and model downloads + + +## Install Jan To install Jan, follow the steps below: -### Step 1: Download the Jan Application + -Jan provides two types of releases: - +### Step 1: Download Application + +Jan provides 3 types of releases: + -#### Stable Releases +Please download Jan from official distributions, or build it from source. -The stable release is a stable version of Jan. You can download a stable release Jan app via the following: +- [Download Jan's Stable Version](https://app.jan.ai/download/latest/win-x64) +- Official Website: https://jan.ai/download -- **Official Website**: [https://jan.ai](https://jan.ai/) -- **Jan GitHub repository**: [Github](https://github.com/janhq/jan/releases) + + + +Beta releases let you test new features, which may be buggy: + +[Download Jan's Beta Version](https://app.jan.ai/download/beta/win-x64) -Make sure to verify the URL to ensure that it's the official Jan website and GitHub repository. +Keep in mind that this build might crash frequently or contain bugs! -#### Nightly Releases -The nightly Release allows you to test out new features and get a sneak peek at what might be included in future stable releases. You can download this version via: +Nightly releases are for internal team to test new feature builds everyday, which is very buggy: -- **Jan GitHub repository**: [Github](https://github.com/janhq/jan/actions/workflows/jan-electron-build-nightly.yml) +[Download Jan's Nightly Version](https://app.jan.ai/download/nightly/win-x64) -Keep in mind that this build might crash frequently and may contain bugs! +Keep in mind that this build crashes frequently or contains bugs! -### Step 2: Install the Jan Application + +### Step 2: Install Application 1. Once you have downloaded the Jan app `.exe` file, open the file. 2. Wait for Jan to be completely installed on your machine. 3. Once installed, you can access Jan on your machine. + + ## Data Folder By default, Jan is installed in the following directory: @@ -124,78 +123,126 @@ By default, Jan is installed in the following directory: ``` - -- Please see the [Jan Data Folder](/docs/data-folder) for more details about the data folder structure. - +See [Jan Data Folder](/docs/data-folder) for more details about the data folder structure. + ## GPU Acceleration +Jan can leverage your GPU to significantly improve model performance and inference speed. Here's how to enable GPU acceleration for different hardware: -Once Jan is installed and you have a GPU, you can use your GPU to accelerate the model's performance. + -### NVIDIA GPU + -To enable the use of your NVIDIA GPU in the Jan app, follow the steps below: + + +### Step 1: Verify Hardware & Install Dependencies +**1.1. Check GPU Detection** + +To verify that your system recognizes the NVIDIA GPU: +- Right-click desktop > NVIDIA Control Panel +- Or check Device Manager > Display Adapters + +**1.2. Install Required components** +**NVIDIA Driver:** +1. Install [NVIDIA Driver](https://www.nvidia.com/en-us/drivers/) for your GPU (NVIDIA driver **470.63.01 or higher**). +2. Verify installation: + +``` +nvidia-smi +``` +Expected output should show your GPU model and driver version. + +**CUDA Toolkit:** +1. Download and install [CUDA toolkit](https://developer.nvidia.com/cuda-downloads) (**CUDA 11.7 or higher**) +2. Verify installation: + +``` +nvcc --version +``` +### Step 2: Enable GPU Acceleration +1. Navigate to **Settings** () > **Advanced Settings** +2. At **GPU Acceleration**, toggle on and select your preferred GPU(s) +3. App reload is required after the selection -Ensure that you have installed the following to use NVIDIA GPU: -- NVIDIA GPU with CUDA Toolkit 11.7 or higher. -- NVIDIA driver 470.63.01 or higher. +While Jan supports both CUDA and Vulkan for NVIDIA GPUs, we strongly recommend using CUDA for optimal performance. -1. Open Jan application. -2. Go to **Settings** -> **Advanced Settings** -> **GPU Acceleration**. -3. Enable and choose the NVIDIA GPU you want. -4. A success notification saying **Successfully turned on GPU acceleration** will appear when GPU acceleration is activated. + - -While **Vulkan** can enable Nvidia GPU acceleration in the Jan app, **CUDA** is recommended for faster performance. - + -### AMD GPU - -To enable the use of your AMD GPU in the Jan app, you need to activate the Vulkan support first by following the steps below: - -1. Open Jan application. -2. Go to **Settings** -> **Advanced Settings** -> enable the **Experimental Mode**. -3. Enable the **Vulkan Support** under the **GPU Acceleration**. -4. Enable the **GPU Acceleration** and choose the AMD GPU you want to use. -5. A success notification saying **Successfully turned on GPU acceleration** will appear when GPU acceleration is activated. - -### Intel Arc GPU - -To enable the use of your Intel Arc GPU in the Jan app, you need to activate the Vulkan support first by following the steps below: - -1. Open Jan application. -2. Go to **Settings** -> **Advanced Settings** -> enable the **Experimental Mode**. -3. Enable the **Vulkan Support** under the **GPU Acceleration**. -4. Enable the **GPU Acceleration** and choose the Intel Arc GPU you want to use. -5. A success notification saying **Successfully turned on GPU acceleration** will appear when GPU acceleration is activated. - - -## Uninstalling Jan - -To uninstall Jan, follow the steps below: - -### Step 1: Open the Control Panels - -1. Open the **Control Panels**. -2. Click **Uninstall Program** under the **Programs** section. - -### Step 2: Uninstall Jan App - -1. Search for **Jan**. -2. Click the **three dots icon** -> **Uninstall**. -3. Click **Uninstall** once again to confirm the action. -4. Click **OK**. -5. A message will appear: **"Do you also want to delete the DEFAULT Jan data folder at C:\Users\{username}\Jan?"**. -6. Click **OK** to delete the entire Jan data folder, or click **Cancel** to save your Jan Data folder so you can use this on the new installation folder. -7. Navigate to `users/{username}/AppData/Roaming`. -8. Delete the `Jan` folder that contains the app cache. + +AMD GPUs require **Vulkan** support. -The deleted Data Folder cannot be restored. + This feature is currently experimental and must be enabled through [Experimental Mode](/docs/settings#experimental-mode) in **Advanced Settings**. +1. Navigate to **Settings** () > **Advanced Settings** +2. Enable **Experimental Mode** +3. Under **GPU Acceleration**, enable **Vulkan Support** +4. At **GPU Acceleration**, toggle on and select your preferred GPU(s) +5. App reload is required after the selection + + + + +Intel Arc GPUs require **Vulkan** support. + + + This feature is currently experimental and must be enabled through [Experimental Mode](/docs/settings#experimental-mode) in **Advanced Settings**. + + +1. Navigate to **Settings** () > **Advanced Settings** +2. Enable **Experimental Mode** +3. Under **GPU Acceleration**, enable **Vulkan Support** +4. At **GPU Acceleration**, toggle on and select your preferred GPU(s) +5. App reload is required after the selection + + + + + + +## Uninstall Jan + + + +### Step 1: Remove Application through Control Panel + +1. Open **Control Panels** +2. Go to **Programs** section +3. Click **Uninstall Program** +4. Search for **Jan** +5. Click the **Three Dots Icon** > **Uninstall** +6. Click **Uninstall** again to confirm +7. Click **OK** + +### Step 2: Handle Jan Data +When prompted with: `Do you also want to delete the DEFAULT Jan data folder at C:\Users{username}\Jan?` +- Click **OK** to remove all Jan data +- Click **Cancel** to keep your Jan data for future installations + +### Step 3: Clean Up Remaining Files + +To ensure a complete uninstallation, remove the app cache: + +1. Navigate to `C:\Users\[username]\AppData\Roaming` +2. Delete Jan folder + +or through **Terminal**: +``` +cd C:\Users\%USERNAME%\AppData\Roaming +rmdir /S jan +``` + + + +Deleted data folders cannot be restored. Make sure to backup any important data before proceeding with deletion. + + + {/* ## FAQs diff --git a/docs/src/pages/docs/extensions-settings/_meta.json b/docs/src/pages/docs/extensions-settings/_meta.json new file mode 100644 index 000000000..100d720dd --- /dev/null +++ b/docs/src/pages/docs/extensions-settings/_meta.json @@ -0,0 +1,11 @@ +{ + "model-management": { + "title": "Model Management", + "href": "/docs/extensions-settings/model-management" + }, + "system-monitoring": { + "title": "System Monitoring", + "href": "/docs/extensions-settings/system-monitoring" + } +} + \ No newline at end of file diff --git a/docs/src/pages/docs/extensions-settings/model-management.mdx b/docs/src/pages/docs/extensions-settings/model-management.mdx new file mode 100644 index 000000000..fb7ae6912 --- /dev/null +++ b/docs/src/pages/docs/extensions-settings/model-management.mdx @@ -0,0 +1,43 @@ +--- +title: Model Management +description: Learn about Jan's default extensions and explore how to configure them. +keywords: + [ + Jan, + Customizable Intelligence, LLM, + local AI, + privacy focus, + free and open source, + private and offline, + conversational AI, + no-subscription fee, + large language models, + Jan Extensions, + Extensions, + ] +--- + +import { Callout } from 'nextra/components' +import { Settings, EllipsisVertical, Plus, FolderOpen, Pencil } from 'lucide-react' + +# Model Management + +This extension configures how Jan handles model downloads and management: +- Model discovery and browsing +- Version control & configuration handling +- Download management + +## Hugging Face Access Token + +Access tokens authenticate your identity to Hugging Face Hub for model downloads. +1. Get your token from [Hugging Face Tokens](https://huggingface.co/docs/hub/en/security-tokens) +2. Navigate to **Settings** () > **Core Extensions** > **Model Management** +2. Enter your token in Jan: `hf_************************` + + +Keep your access tokens secure and never share them. + + +
+![Model Management](../_assets/extensions-02.png) +
\ No newline at end of file diff --git a/docs/src/pages/docs/extensions-settings/system-monitoring.mdx b/docs/src/pages/docs/extensions-settings/system-monitoring.mdx new file mode 100644 index 000000000..f506842e6 --- /dev/null +++ b/docs/src/pages/docs/extensions-settings/system-monitoring.mdx @@ -0,0 +1,54 @@ +--- +title: System Monitoring +description: Learn about Jan's default extensions and explore how to configure them. +keywords: + [ + Jan, + Customizable Intelligence, LLM, + local AI, + privacy focus, + free and open source, + private and offline, + conversational AI, + no-subscription fee, + large language models, + Jan Extensions, + Extensions, + ] +--- +import { Callout } from 'nextra/components' +import { Settings, EllipsisVertical } from 'lucide-react' + + +# System Monitoring +Provides system health and OS level data: +- Hardware utilization tracking +- Performance monitoring +- Error logging + +You can configure your logs in Jan in **Settings** () > **Core Extensions** > **System Monitoring**: + + +## Enable App Logs +Jan can save logs locally on your computer for: +- Debugging model issues +- Crash reports +- Download troubleshooting + +To enable, toggle on **Enable App Logs**: + +
+![Model Management](../_assets/extensions-03.png) +
+ + +## Log Cleaning Interval +Set automatic log deletion interval in milliseconds: +- Default: 120000 (2 minutes); however, there's no minimum or maximum intervals +- Controls disk space usage +- Prevents log accumulation + + +You can clear Jan logs manually with [Clear logs](/docs/settings#log-management) in **Privacy**. + + diff --git a/docs/src/pages/docs/extensions.mdx b/docs/src/pages/docs/extensions.mdx index b660b365f..aa612a940 100644 --- a/docs/src/pages/docs/extensions.mdx +++ b/docs/src/pages/docs/extensions.mdx @@ -17,353 +17,59 @@ description: Learn about Jan's default extensions and explore how to configure t --- import { Callout } from 'nextra/components' +import { Settings, EllipsisVertical } from 'lucide-react' -# Extensions Overview +# Extensions -The current Jan Desktop Client has some default extensions built on this framework to enhance the user experience. There are two types of extensions: -- Model Providers: These are extensions that enable Jan to support cloud-based models and provide the engine to support additional local models. -- Core Extensions: These are built-in tools for managing and monitoring the Jan's system. +## Overview +Extensions are modular components that add functionality to Jan. Each extension is designed to handle specific features. -## List of Model Provider Extensions -| Extension Name | Version | Description | -|----------------|---------|-------------| -| Anthropic | v1.0.2 | This extension enables Anthropic chat completion API calls | -| Cohere | v1.0.0 | This extension enables Cohere chat completion API calls | -| Groq | v1.0.1 | This extension enables fast Groq chat completion API calls | -| Martian | v1.0.1 | This extension enables Martian chat completion API calls | -| MistralAI | v1.0.1 | This extension enables Mistral chat completion API calls | -| TensorRT-LLM | v0.0.3 | This extension enables Nvidia's TensorRT-LLM for the fastest GPU acceleration. See the setup guide for next steps | -| NVIDIA NIM | v1.0.1 | This extension enables NVIDIA chat completion API calls | -| OpenAI | v1.0.2 | This extension enables OpenAI chat completion API calls | -| OpenRouter | v1.0.0 | This extension enables Open Router chat completion API calls | -| Triton-TRT-LLM | v1.0.0 | This extension enables Nvidia's Triton-TRT-LLM as an inference engine option | +Extensions can be managed through **Settings** () > **Extensions**: -## List of Core Extensions -| Extension Name | Version | Description | -|---------------------|----------|-----------------------------------------------------------------------------| -| Jan Assistant | v1.0.1 | This extension enables assistants, including Jan, a default assistant that can call all downloaded models | -| Conversational | v1.0.0 | This extension enables conversations and state persistence via your filesystem | -| Model Management | v1.0.33 | Model Management Extension provides model exploration and seamless downloads | -| System Monitoring | v1.0.10 | This extension provides system health and OS level data | - - -## Configure an Extension Settings - -To configure an extension settings: - -1. Navigate to the `~/jan/data/extensions`. -2. Open the `extensions.json` file -3. Edit the file with options including: - -| Option | Description | -| ---------------- | ----------------------------------- | -| `_active` | Enable/disable the extension. | -| `listeners` | Default listener setting. | -| `origin` | Extension file path. | -| `installOptions` | Version and metadata configuration. | -| `name` | Extension name. | -| `productName` | Extension display name. | -| `version` | Extension version. | -| `main` | Main file path. | -| `description` | Extension description. | -| `url` | Extension URL. | - -```json title="~/jan/data/extensions/extensions.json" -{ - "@janhq/conversational-extension": { - "_active": true, - "listeners": {}, - "origin": "C:\\Users\\ACER\\AppData\\Local\\Programs\\jan\\resources\\app.asar.unpacked\\pre-install\\janhq-conversational-extension-1.0.0.tgz", - "installOptions": { - "version": false, - "fullMetadata": true - }, - "name": "@janhq/conversational-extension", - "productName": "Conversational", - "version": "1.0.0", - "main": "dist/index.js", - "description": "This extension enables conversations and state persistence via your filesystem", - "url": "extension://@janhq/conversational-extension/dist/index.js" - }, - "@janhq/inference-anthropic-extension": { - "_active": true, - "listeners": {}, - "origin": "C:\\Users\\ACER\\AppData\\Local\\Programs\\jan\\resources\\app.asar.unpacked\\pre-install\\janhq-inference-anthropic-extension-1.0.2.tgz", - "installOptions": { - "version": false, - "fullMetadata": true - }, - "name": "@janhq/inference-anthropic-extension", - "productName": "Anthropic Inference Engine", - "version": "1.0.2", - "main": "dist/index.js", - "description": "This extension enables Anthropic chat completion API calls", - "url": "extension://@janhq/inference-anthropic-extension/dist/index.js" - }, - "@janhq/inference-triton-trt-llm-extension": { - "_active": true, - "listeners": {}, - "origin": "C:\\Users\\ACER\\AppData\\Local\\Programs\\jan\\resources\\app.asar.unpacked\\pre-install\\janhq-inference-triton-trt-llm-extension-1.0.0.tgz", - "installOptions": { - "version": false, - "fullMetadata": true - }, - "name": "@janhq/inference-triton-trt-llm-extension", - "productName": "Triton-TRT-LLM Inference Engine", - "version": "1.0.0", - "main": "dist/index.js", - "description": "This extension enables Nvidia's TensorRT-LLM as an inference engine option", - "url": "extension://@janhq/inference-triton-trt-llm-extension/dist/index.js" - }, - "@janhq/inference-mistral-extension": { - "_active": true, - "listeners": {}, - "origin": "C:\\Users\\ACER\\AppData\\Local\\Programs\\jan\\resources\\app.asar.unpacked\\pre-install\\janhq-inference-mistral-extension-1.0.1.tgz", - "installOptions": { - "version": false, - "fullMetadata": true - }, - "name": "@janhq/inference-mistral-extension", - "productName": "MistralAI Inference Engine", - "version": "1.0.1", - "main": "dist/index.js", - "description": "This extension enables Mistral chat completion API calls", - "url": "extension://@janhq/inference-mistral-extension/dist/index.js" - }, - "@janhq/inference-martian-extension": { - "_active": true, - "listeners": {}, - "origin": "C:\\Users\\ACER\\AppData\\Local\\Programs\\jan\\resources\\app.asar.unpacked\\pre-install\\janhq-inference-martian-extension-1.0.1.tgz", - "installOptions": { - "version": false, - "fullMetadata": true - }, - "name": "@janhq/inference-martian-extension", - "productName": "Martian Inference Engine", - "version": "1.0.1", - "main": "dist/index.js", - "description": "This extension enables Martian chat completion API calls", - "url": "extension://@janhq/inference-martian-extension/dist/index.js" - }, - "@janhq/inference-openrouter-extension": { - "_active": true, - "listeners": {}, - "origin": "C:\\Users\\ACER\\AppData\\Local\\Programs\\jan\\resources\\app.asar.unpacked\\pre-install\\janhq-inference-openrouter-extension-1.0.0.tgz", - "installOptions": { - "version": false, - "fullMetadata": true - }, - "name": "@janhq/inference-openrouter-extension", - "productName": "OpenRouter Inference Engine", - "version": "1.0.0", - "main": "dist/index.js", - "description": "This extension enables Open Router chat completion API calls", - "url": "extension://@janhq/inference-openrouter-extension/dist/index.js" - }, - "@janhq/inference-nvidia-extension": { - "_active": true, - "listeners": {}, - "origin": "C:\\Users\\ACER\\AppData\\Local\\Programs\\jan\\resources\\app.asar.unpacked\\pre-install\\janhq-inference-nvidia-extension-1.0.1.tgz", - "installOptions": { - "version": false, - "fullMetadata": true - }, - "name": "@janhq/inference-nvidia-extension", - "productName": "NVIDIA NIM Inference Engine", - "version": "1.0.1", - "main": "dist/index.js", - "description": "This extension enables NVIDIA chat completion API calls", - "url": "extension://@janhq/inference-nvidia-extension/dist/index.js" - }, - "@janhq/inference-groq-extension": { - "_active": true, - "listeners": {}, - "origin": "C:\\Users\\ACER\\AppData\\Local\\Programs\\jan\\resources\\app.asar.unpacked\\pre-install\\janhq-inference-groq-extension-1.0.1.tgz", - "installOptions": { - "version": false, - "fullMetadata": true - }, - "name": "@janhq/inference-groq-extension", - "productName": "Groq Inference Engine", - "version": "1.0.1", - "main": "dist/index.js", - "description": "This extension enables fast Groq chat completion API calls", - "url": "extension://@janhq/inference-groq-extension/dist/index.js" - }, - "@janhq/inference-openai-extension": { - "_active": true, - "listeners": {}, - "origin": "C:\\Users\\ACER\\AppData\\Local\\Programs\\jan\\resources\\app.asar.unpacked\\pre-install\\janhq-inference-openai-extension-1.0.2.tgz", - "installOptions": { - "version": false, - "fullMetadata": true - }, - "name": "@janhq/inference-openai-extension", - "productName": "OpenAI Inference Engine", - "version": "1.0.2", - "main": "dist/index.js", - "description": "This extension enables OpenAI chat completion API calls", - "url": "extension://@janhq/inference-openai-extension/dist/index.js" - }, - "@janhq/inference-cohere-extension": { - "_active": true, - "listeners": {}, - "origin": "C:\\Users\\ACER\\AppData\\Local\\Programs\\jan\\resources\\app.asar.unpacked\\pre-install\\janhq-inference-cohere-extension-1.0.0.tgz", - "installOptions": { - "version": false, - "fullMetadata": true - }, - "name": "@janhq/inference-cohere-extension", - "productName": "Cohere Inference Engine", - "version": "1.0.0", - "main": "dist/index.js", - "description": "This extension enables Cohere chat completion API calls", - "url": "extension://@janhq/inference-cohere-extension/dist/index.js" - }, - "@janhq/model-extension": { - "_active": true, - "listeners": {}, - "origin": "C:\\Users\\ACER\\AppData\\Local\\Programs\\jan\\resources\\app.asar.unpacked\\pre-install\\janhq-model-extension-1.0.33.tgz", - "installOptions": { - "version": false, - "fullMetadata": true - }, - "name": "@janhq/model-extension", - "productName": "Model Management", - "version": "1.0.33", - "main": "dist/index.js", - "description": "Model Management Extension provides model exploration and seamless downloads", - "url": "extension://@janhq/model-extension/dist/index.js" - }, - "@janhq/monitoring-extension": { - "_active": true, - "listeners": {}, - "origin": "C:\\Users\\ACER\\AppData\\Local\\Programs\\jan\\resources\\app.asar.unpacked\\pre-install\\janhq-monitoring-extension-1.0.10.tgz", - "installOptions": { - "version": false, - "fullMetadata": true - }, - "name": "@janhq/monitoring-extension", - "productName": "System Monitoring", - "version": "1.0.10", - "main": "dist/index.js", - "description": "This extension provides system health and OS level data", - "url": "extension://@janhq/monitoring-extension/dist/index.js" - }, - "@janhq/assistant-extension": { - "_active": true, - "listeners": {}, - "origin": "C:\\Users\\ACER\\AppData\\Local\\Programs\\jan\\resources\\app.asar.unpacked\\pre-install\\janhq-assistant-extension-1.0.1.tgz", - "installOptions": { - "version": false, - "fullMetadata": true - }, - "name": "@janhq/assistant-extension", - "productName": "Jan Assistant", - "version": "1.0.1", - "main": "dist/index.js", - "description": "This extension enables assistants, including Jan, a default assistant that can call all downloaded models", - "url": "extension://@janhq/assistant-extension/dist/index.js" - }, - "@janhq/tensorrt-llm-extension": { - "_active": true, - "listeners": {}, - "origin": "C:\\Users\\ACER\\AppData\\Local\\Programs\\jan\\resources\\app.asar.unpacked\\pre-install\\janhq-tensorrt-llm-extension-0.0.3.tgz", - "installOptions": { - "version": false, - "fullMetadata": true - }, - "name": "@janhq/tensorrt-llm-extension", - "productName": "TensorRT-LLM Inference Engine", - "version": "0.0.3", - "main": "dist/index.js", - "description": "This extension enables Nvidia's TensorRT-LLM for the fastest GPU acceleration. See the [setup guide](https://jan.ai/guides/providers/tensorrt-llm/) for next steps.", - "url": "extension://@janhq/tensorrt-llm-extension/dist/index.js" - }, - "@janhq/inference-cortex-extension": { - "_active": true, - "listeners": {}, - "origin": "C:\\Users\\ACER\\AppData\\Local\\Programs\\jan\\resources\\app.asar.unpacked\\pre-install\\janhq-inference-cortex-extension-1.0.15.tgz", - "installOptions": { - "version": false, - "fullMetadata": true - }, - "name": "@janhq/inference-cortex-extension", - "productName": "Cortex Inference Engine", - "version": "1.0.15", - "main": "dist/index.js", - "description": "This extension embeds cortex.cpp, a lightweight inference engine written in C++. See https://nitro.jan.ai.\nAdditional dependencies could be installed to run without Cuda Toolkit installation.", - "url": "extension://@janhq/inference-cortex-extension/dist/index.js" - } -} -``` - -## Specific Extension Settings -Jan offers an Extensions settings menu for configuring extensions that have registered their settings within the application. Here, you can directly integrate Remote Inference Engines with Jan without inserting the URL and API Key directly in the `JSON` file. Additionally, you can turn the Logging extensions available on or off in Jan. To access the Extension settings, follow the steps below: -1. Navigate to the main dashboard. -2. Click the **gear icon (⚙️)** on the bottom left of your screen.
-![Settings](./_assets/settings.png) -
-3. Click **Extensions**. -
-![Extensions](./_assets/extensions-page2.png) - -## Turn Off an Extension - -To turn off the extension, follow the steps below: - -1. Click the **Gear Icon (⚙️)** on the bottom left of your screen. -
-![Settings](./_assets/settings.png) -
-2. Click the **Extensions** button. -
-![Extensions](./_assets/extensions-page2.png) -
-3. Click the slider button to turn off the extension. -
-![Extensions](./_assets/turn-off.png) -
-4. Restart the app to see that the extension has been disabled. - -## Model Management -The Model Management extension allows Jan's app to download specific models from Hugging Face repositories, which require an access token for access. -1. Navigate to the main dashboard. -2. Click the **Gear Icon (⚙️)** on the bottom left of your screen. -
-![Settings](./_assets/settings.png) -
-3. Under the **Core Extensions** section, select the **Model Management** extension. -
-![Model Management extension](./_assets/model-management1.png) -
-4. Enter the HuggingFace access token. -
-![Model Management Enable](./_assets/model-management2.png) +![Remove Model](./_assets/extensions-01.png)
-## System Monitor -The System Monitor extension now offers enhanced customization for app logging. Users can toggle the application logging feature on or off and set a custom interval for clearing the app logs. To configure the app log feature, follow these steps: -1. Navigate to the main dashboard. -2. Click the **Gear Icon (⚙️)** on the bottom left of your screen. -
-![Settings](./_assets/settings.png) -
-3. Under the **Core Extensions** section, select the **System Monitoring** extension. -
-![System Monitoring extension](./_assets/system-monitor2.png) -
-4. Use the **slider** to turn the app logging feature on or off. -
-![System Monitoring Enable](./_assets/system-slider2.png) -
-5. Specify the log cleaning interval in milliseconds. -
-![System Monitoring Interval](./_assets/system-mili2.png) -
- - - You can clear the app logs manually by clicking the **Clear logs** button in the advanced settings. - - There are no minimum or maximum intervals for setting the time. However, invalid inputs will default to `120000ms (2 minutes)`. - \ No newline at end of file +## Core Extensions + +### Cortex +The primary extension that manages both **local** and **remote engines** capabilities: + +#### Local Engines +[llama.cpp](/docs/local-engines/llama-cpp): Fast, efficient local inference engine that runs GGUF models directly on your device. Powers Jan's default local AI capabilities with support for multiple hardware configurations. + +#### Remote Engines +- [Anthropic](/docs/remote-models/anthropic): Access Claude models +- [Cohere](/docs/remote-models/cohere): Access Cohere's models +- [Groq](/docs/remote-models/groq): High-performance inference +- [Martian](/docs/remote-models/martian): Specialized model access +- [MistralAI](/docs/remote-models/mistralai): Access Mistral models +- [NVIDIA NIM](/docs/remote-models/nvidia-nim) (NVIDIA Inference Microservices): Platform for deploying and serving GPU-accelerated AI models, providing enterprise-grade reliability and scalability. +- [OpenAI](/docs/remote-models/openai): Access GPT models +- [OpenRouter](/docs/remote-models/openrouter): Multi-provider model access +- [Triton-TRT-LLM](/docs/remote-models/triton): High-performance inference backend using NVIDIA Triton Inference Server with TensorRT-LLM optimization, designed for large-scale model deployment. + + + +### Jan Assistant +Enables assistants functionality, including Jan - the default assistant that can utilize all downloaded models. This extension manages: +- Default assistant configurations +- Model selection +- Conversation management + +### Conversational +Manages all chat-related functionality and data persistence: + + +### [Model Management](/docs/extensions-settings/model-management) +Provides model exploration and seamless downloads: +- Model discovery and browsing +- Version control & configuration handling +- Download management + +### [System Monitoring](/docs/extensions-settings/system-monitoring) +Provides system health and OS level data: +- Hardware utilization tracking +- Performance monitoring +- Error logging diff --git a/docs/src/pages/docs/index.mdx b/docs/src/pages/docs/index.mdx index 0efb1ba51..23c5e3ae9 100644 --- a/docs/src/pages/docs/index.mdx +++ b/docs/src/pages/docs/index.mdx @@ -25,7 +25,7 @@ import FAQBox from '@/components/FaqBox' ![Jan's Cover Image](./_assets/jan-app.png) -Jan is a ChatGPT-alternative that runs 100% offline on your [Desktop](/docs/desktop-installation). Our goal is to make it easy for a layperson[^1] to download and run LLMs and use AI with full control and [privacy](https://www.reuters.com/legal/legalindustry/privacy-paradox-with-ai-2023-10-31/). +Jan is a ChatGPT-alternative that runs 100% offline on your desktop & mobile (*comming soon*). Our goal is to make it easy for a layperson[^1] to download and run LLMs and use AI with full control and [privacy](https://www.reuters.com/legal/legalindustry/privacy-paradox-with-ai-2023-10-31/). Jan is powered by [Cortex](https://cortex.so/), our embeddable local AI engine. @@ -37,18 +37,20 @@ You'll be able to use it with [Continue.dev](https://jan.ai/integrations/coding/ ### Features -- [Model Library](https://jan.ai/docs/models/manage-models#add-models) with popular LLMs like Llama3, Gemma or Mistral -- Connect to [Remote AI APIs](https://jan.ai/docs/remote-inference/openai) like Groq and OpenRouter -- [Local API Server](https://jan.ai/api-reference) with OpenAI-equivalent API -- [Extensions](https://jan.ai/docs/extensions) for customizing Jan +- Download popular open-source LLMs (Llama3, Gemma or Mistral,...) from [Model Hub](./docs/models/manage-models.mdx) or import any GGUF models +- Connect to [cloud model services](/docs/remote-models/openai) (OpenAI, Anthropic, Mistral, Groq,...) +- [Chat](./docs/threads.mdx) with AI models & [customize their parameters](./docs/models/model-parameters.mdx) in an intuitive interface +- Use [local API server](https://jan.ai/api-reference) with OpenAI-equivalent API +- Customize Jan with [extensions](/docs/extensions) ### Philosophy -Jan is built to be [User-owned](about#-user-owned): +Jan is built to be [user-owned](about#-user-owned): - Open source via the [AGPLv3 license](https://github.com/janhq/jan/blob/dev/LICENSE) - [Local-first](https://www.inkandswitch.com/local-first/), with all data stored locally - Runs 100% offline, with privacy by default -- We do not [collect or sell user data](/privacy) +- Free choice of AI models, both local and cloud-based +- We do not collect or sell user data. See our [Privacy](/privacy). You can read more about our [philosophy](/about#philosophy) here. @@ -70,57 +72,65 @@ Jan is built on the shoulders of many upstream open-source projects: ## FAQs - - Jan runs and trains models (LLMs) on your laptop or desktop computers. + + Jan is a customizable AI assistant that runs offline on your computer - a privacy-focused alternative to ChatGPT, with optional cloud AI support. - Download Jan Desktop on your computer, download a compatible LLM, connect to a remote AI with the API key, and start chatting. You can switch between models as needed. + Download Jan on your computer, download a compatible model or connect to a cloud AI, and start chatting. See details in our [Quick Start](/docs/quickstart) guide. - Jan is available for Mac, Windows, and Linux via Docker/Helm, ensuring wide compatibility. + See our comapatibility guide for [Mac](/docs/desktop/mac#compatibility), [Windows](/docs/desktop/windows#compatibility), and [Linux](docs/desktop/linux). + + GPU-wise, Jan supports: + - NVIDIA GPUs (CUDA) + - AMD GPUs (Vulkan) + - Intel Arc GPUs (Vulkan) + - Other GPUs with Vulkan support - GPU-wise, Jan supports Nvidia, AMD (through Vulkan), and Intel. + - - No. Not even a little. Your usage data is entirely local and private and never leaves your computer. - - We also don't track IP or other identifying information. - - -If you use Jan in remote/API mode, i.e., chatting with ChatGPT, they may still collect your info. + + No data is collected. Everything stays local on your device. + +When using cloud AI services (like GPT-4 or Claude) through Jan, their data collection is outside our control. Please check their privacy policies. + You can help improve Jan by choosing to opt in anonymous basic usage data. Even so, your chats and personal information are never collected. Read more about what data you can contribute to us at [Privacy](./docs/privacy.mdx). + No, and we never will. - Jan prioritizes your privacy by running open-source AI models 100% offline on your computer. Conversations, documents, and files stay private. You can find your own user data at `~/jan` on your local filesystem. - - - - Jan stands for “Just a Name". We are, admittedly, bad at marketing 😂. + Jan prioritizes your privacy by running open-source AI models 100% offline on your computer. Conversations, documents, and files stay on your device in [Jan Data Folder](/docs/data-folder) located at: + - Windows: `%APPDATA%/Jan/data` + - Linux: `$XDG_CONFIG_HOME/Jan/data` or `~/.config/Jan/data` + - macOS: `~/Library/Application Support/Jan/data` - Yes, Jan defaults to running locally without an internet connection. + Yes, Jan can run without an internet connection, but you'll need to [download a local model](/docs/models/manage-models#1-download-from-jan-hub-recommended) first. Once you've downloaded your preferred models, Jan will work entirely offline by default. - Jan is free to use. However, if you want to connect to remote APIs, like - GPT-4, you will need to put in your own API key. - + Jan is free and open-source. There are no subscription fees or hidden costs for all local models & features. + + To use [cloud AI models](/docs/models/manage-models#cloud-model) (like GPT-4 or Claude): + - You'll need to have your own API keys & pay the standard rates charged by those providers. + - Jan doesn't add any markup. + - You can download popular AI models through Jan's Hub or import any model you choose directly from HuggingFace. + - Models from [Jan Hub](/docs/models/manage-models#1-download-from-jan-hub-recommended) are recommended for best compatibility. + - You can also [import GGUF models](/docs/models/manage-models#2-import-from-hugging-face) from Hugging Face or from your local files. - Jan is built like VSCode and Obsidian. It supports 3rd party extensions. In fact, most of the UI-level features were built with extensions in a few lines of code. +Jan has an extensible architecture like VSCode and Obsidian - you can build custom features using our extensions API. Most of Jan's features are actually built as [extensions](/docs/extensions). @@ -128,24 +138,27 @@ If you use Jan in remote/API mode, i.e., chatting with ChatGPT, they may still c - Joining [Jan's Discord server](https://discord.gg/qSwXFx6Krr) is a great way - to get involved with the community. + Joining our [Discord](https://discord.gg/qSwXFx6Krr) is a great way to get involved with the community. - For troubleshooting, you should reach out on Discord and check GitHub for - assistance and support from the community and the development team. + For troubleshooting, please visit [Troubleshooting](./docs/troubleshooting.mdx). + + In case you can't find what you need in our troubleshooting guide, please reach out to us for extra help on our [Discord](https://discord.com/invite/FTk2MvZwJH) in the **#🆘|get-help** channel. - Yes! We love the self-hosted movement. Jan is available as a Helm chart/ - Docker composes which can be run across home servers or even production-level - environments. + Yes! We love the self-hosted movement. You can: + - [Download Jan](./download.mdx) and run it directly. + - Fork and build from our [GitHub](https://github.com/janhq/jan) repository. + + + + Jan stands for “Just a Name". We are, admittedly, bad at marketing 😂. - We often hire directly from our community. If you want to apply, - please see our careers page [here](https://homebrew.bamboohr.com/careers). + Yes! We love hiring from our community. Check out our open positions at [Careers](https://homebrew.bamboohr.com/careers). diff --git a/docs/src/pages/docs/install-engines.mdx b/docs/src/pages/docs/install-engines.mdx new file mode 100644 index 000000000..4e99d337d --- /dev/null +++ b/docs/src/pages/docs/install-engines.mdx @@ -0,0 +1,193 @@ +--- +title: Install Engines +description: Learn about Jan's default extensions and explore how to configure them. + [ + Jan, + Customizable Intelligence, LLM, + local AI, + privacy focus, + free and open source, + private and offline, + conversational AI, + no-subscription fee, + large language models, + Jan Extensions, + Extensions, + ] +--- + +import { Callout } from 'nextra/components' +import { Settings, EllipsisVertical } from 'lucide-react' + +# Install Engines + +## Install Local Engines +Jan currently doesn't support installing a local engine yet. + +## Install Remote Engines + +### Step-by-step Guide +You can add any OpenAI API-compatible providers like OpenAI, Anthropic, or others. +To add a new remote engine: + +1. Navigate to **Settings** () > **Engines** +1. At **Remote Engine** category, click **+ Install Engine** + +
+![Install Remote Engines](./_assets/install-engines-01.png) +
+ +2. Fill in the following required information: + +
+![Install Remote Engines](./_assets/install-engines-02.png) +
+ +| Field | Description | Required | +|-------|-------------|----------| +| Engine Name | Name for your engine (e.g., "OpenAI", "Claude") | ✓ | +| API URL | The base URL of the provider's API | ✓ | +| API Key | Your authentication key from the provider | ✓ | +| Model List URL | URL for fetching available models | | +| API Key Template | Custom authorization header format | | +| Request Format Conversion | Function to convert Jan's request format to provider's format | | +| Response Format Conversion | Function to convert provider's response format to Jan's format | | + + +> - The conversion functions are only needed for providers that don't follow the OpenAI API format. For OpenAI-compatible APIs, you can leave these empty. +> - For OpenAI-compatible APIs like OpenAI, Anthropic, or Groq, you only need to fill in the required fields. Leave optional fields empty. + +4. Click **Install** +5. Once completed, you should see your engine in **Engines** page: + - You can rename or uninstall your engine + - You can navigate to its own settings page + +
+![Install Remote Engines](./_assets/install-engines-03.png) +
+ +### Examples +#### OpenAI-Compatible Setup +Here's how to set up OpenAI as a remote engine: + +1. Engine Name: `OpenAI` +2. API URL: `https://api.openai.com` +3. Model List URL: `https://api.openai.com/v1/models` +4. API Key: Your OpenAI API key +5. Leave other fields as default + + +#### Custom APIs Setup +If you're integrating an API that doesn't follow OpenAI's format, you'll need to use the conversion functions. +Let's say you have a custom API with this format: + +```javascript +// Custom API Request Format +{ + "prompt": "What is AI?", + "max_length": 100, + "temperature": 0.7 +} + +// Custom API Response Format +{ + "generated_text": "AI is...", + "tokens_used": 50, + "status": "success" +} +``` + +**Here's how to set it up in Jan:** +``` +Engine Name: Custom LLM +API Key: your_api_key_here +Header template: your header template here +Transform request template: your transform request template here +Transform response template: your transform response template here +``` + +1. Header template +``` +"Authorization: Bearer {{api_key}}" +``` +2. Transform request template: +Convert from Jan's OpenAI-style format to your API's format +``` +"chat_completions": { + "url": "https://api.custom_endpoint.com/v1/messages", + "template": "{ +{% for key, value in input_request %} + {% if key == "messages" %} + "prompt": "{{ last(input_request.messages).content }}" + {% else if key == "max_tokens" or key == "temperature" %} + "{{ key }}": {{ tojson(value) }} + {% endif %} +{% endfor %} +}" +} +``` + + +3. Transform response template +Convert from your API's format back to OpenAI-style format +``` +"chat_completions": { +"template": "{ +{ + "choices": [{ + "message": { + "role": "assistant", + "content": "{{ input_request.generated_text }}" + } + }], + "usage": { + "total_tokens": {{ input_request.tokens_used }} + } +} +}" +} +``` + + + +**Expected Formats:** + +1. Jan's Request Format +``` +{ + "messages": [ + {"role": "user", "content": "What is AI?"} + ], + "max_tokens": 100, + "temperature": 0.7 +} +``` + +2. Jan's Expected Response Format +``` +{ + "choices": [{ + "message": { + "role": "assistant", + "content": "AI is..." + } + }], + "usage": { + "total_tokens": 50 + } +} +``` + + +Make sure to test your conversion functions thoroughly. Incorrect conversions may cause errors or unexpected behavior. + + + + + + + + + + + diff --git a/docs/src/pages/docs/install-extensions.mdx b/docs/src/pages/docs/install-extensions.mdx new file mode 100644 index 000000000..d5b27013c --- /dev/null +++ b/docs/src/pages/docs/install-extensions.mdx @@ -0,0 +1,143 @@ +--- +title: Install Extensions +description: A step-by-step guide on installing an extension. +keywords: + [ + Jan, + Customizable Intelligence, LLM, + local AI, + privacy focus, + free and open source, + private and offline, + conversational AI, + no-subscription fee, + large language models, + Jan Extensions, + Extensions, + ] +--- + +import { Callout } from 'nextra/components' +import { Settings, Plus } from 'lucide-react' + + +# Install Extensions + +Jan uses a modular extension system that allows developers to add new functionality to the application. By default, Jan comes with several [pre-installed extensions](/docs/extensions#core-extensions) that provide core functionalities. You can manually add custom third-party extensions at your own risk. + +## Prerequisites + +### Required Tools +- Node.js (version 20.0.0 or higher) +- Basic understanding of TypeScript + +### Jan's Architecture +Jan is built on: +- **Electron**: Powers the desktop application + - Extensions run in the main process + - Access to Node.js APIs and filesystem + - Cannot use browser-only libraries +- **Next.js**: Handles the user interface +- **Node.js**: Runs extension logic + +This architecture means your extensions: +- Can use Node.js packages and system APIs +- Need to handle client/server communication properly +- Should follow Electron's security practices + +## Create Extensions + + +Jan currently only accepts `.tgz` file format for extensions. + + +> **Heads Up:** +> - Use the following structure and setup as a **reference** only. +> - You're free to develop extensions using any approach or structure that works for your needs. Feel free to experiment and innovate. +> - If you already have your own `.tgz` extension file, please move forward to [install extension](/docs/install-extensions#install-extensions) step. + +### Extension Structure +Your extension should follow this basic structure: + +``` +my-extension/ +├── package.json # Extension metadata and dependencies +├── dist/ # Compiled JavaScript files +│ └── index.js # Main extension entry point +├── src/ # Source code +│ └── index.ts # TypeScript source +└── README.md # Extension documentation +``` + +### Required package.json Fields +```json +{ + "name": "@your-org/extension-name", + "version": "1.0.0", + "main": "dist/index.js", + "types": "dist/index.d.ts", + "jan": { + "type": "extension", + "displayName": "Your Extension Name", + "description": "Description of what your extension does" + }, + "scripts": { + "build": "tsc", + "package": "npm pack" + }, + "dependencies": { + // List your dependencies + }, + "devDependencies": { + "typescript": "^5.0.0" + } +} +``` + +### Example Extension Template + +You can find a template for creating Jan extensions in our [example repository](https://github.com/janhq/extension-template). +## Install Extensions + +To install a custom extension in Jan: + +1. Open Jan, navigate to **Settings** () > **Extensions** +2. Click ** Install Extension** +3. Select your extension `.tgz` file & save +4. Restart Jan + +After restart, the `~/jan/data/extensions/extensions.json` file will be updated automatically to include your new extension. + +
+![Install Extensions](./_assets/extensions-04.png) +
+ +## Troubleshooting +**Check Extensions Logs** + +```bash +# View application logs +~/jan/logs/app.log + +# Open Developer Tools +Mac: Cmd + Option + I +Windows/Linux: Ctrl + Shift + I +``` +**Common Error Patterns** + +1. Initialization Failures + - Extension fails to load/activate + - Verify package.json configuration + - Check extension dependencies + +2. Runtime Errors + - Node.js module errors + - API connection issues + - Authentication failures + +3. Build Problems +```bash +rm -rf dist/ +npm run build +``` + diff --git a/docs/src/pages/docs/installing-extension.mdx b/docs/src/pages/docs/installing-extension.mdx deleted file mode 100644 index 6471e9135..000000000 --- a/docs/src/pages/docs/installing-extension.mdx +++ /dev/null @@ -1,46 +0,0 @@ ---- -title: Installing an Extension -description: A step-by-step guide on installing an extension. -keywords: - [ - Jan, - Customizable Intelligence, LLM, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - Jan Extensions, - Extensions, - ] ---- - -import { Callout } from 'nextra/components' - - -## Installing an Extension - -Jan automatically installs 11 default extensions when you set up the application. You can also add a custom third-party extension at your own risk. - -Here are the steps to install a custom extension: - -Jan only accepts the `.tgz` file format for installing a custom extension. - - -1. Click the **Gear Icon (⚙️)** on the bottom left of your screen. -
-![Settings](./_assets/settings.png) -
-2. Click the **Extensions** button. -
-![Extensions](./_assets/extensions-page2.png) -
-2. Select **Install Extension** on top right corner. -
-![Install Extension](./_assets/install-ext.png) -
-3. Select a `.tgz` extension file. -4. Restart the Jan application. -5. Then, the `~/jan/data/extensions/extensions.json` file will be updated automatically. \ No newline at end of file diff --git a/docs/src/pages/docs/local-engines/_meta.json b/docs/src/pages/docs/local-engines/_meta.json new file mode 100644 index 000000000..2e323af69 --- /dev/null +++ b/docs/src/pages/docs/local-engines/_meta.json @@ -0,0 +1,6 @@ +{ + "llama-cpp": { + "title": "llama.cpp", + "href": "/docs/local-engines/llama-cpp" + } +} diff --git a/docs/src/pages/docs/local-engines/llama-cpp.mdx b/docs/src/pages/docs/local-engines/llama-cpp.mdx new file mode 100644 index 000000000..df11c48ca --- /dev/null +++ b/docs/src/pages/docs/local-engines/llama-cpp.mdx @@ -0,0 +1,171 @@ +--- +title: llama.cpp +description: A step-by-step guide on how to customize the llama.cpp engine. +keywords: + [ + Jan, + Customizable Intelligence, LLM, + local AI, + privacy focus, + free and open source, + private and offline, + conversational AI, + no-subscription fee, + large language models, + Llama CPP integration, + llama.cpp Engine, + Intel CPU, + AMD CPU, + NVIDIA GPU, + AMD GPU Radeon, + Apple Silicon, + Intel Arc GPU, + ] +--- + +import { Tabs } from 'nextra/components' +import { Callout, Steps } from 'nextra/components' +import { Settings, EllipsisVertical, Plus, FolderOpen, Pencil } from 'lucide-react' + +# llama.cpp (Cortex) + +## Overview +Jan uses **llama.cpp** for running local AI models. You can find its settings in **Settings** () > **Local Engine** > **llama.cpp**: + +
+![llama.cpp](../_assets/llama.cpp-01.png) +
+ +These settings are for advanced users, you would want to check these settings when: +- Your AI models are running slowly or not working +- You've installed new hardware (like a graphics card) +- You want to tinker & test performance with different [backends](/docs/local-engines/llama-cpp#available-backends) + +## Engine Version and Updates +- **Engine Version**: View current version of llama.cpp engine +- **Check Updates**: Verify if a newer version is available & install available updates when it's available + + +## Available Backends + +Jan offers different backend variants for **llama.cpp** based on your operating system, you can: +- Download different backends as needed +- Switch between backends for different hardware configurations +- View currently installed backends in the list + + +Choose the backend that matches your hardware. Using the wrong variant may cause performance issues or prevent models from loading. + + + + + +### CUDA Support (NVIDIA GPUs) +- `llama.cpp-avx-cuda-11-7` +- `llama.cpp-avx-cuda-12-0` +- `llama.cpp-avx2-cuda-11-7` +- `llama.cpp-avx2-cuda-12-0` +- `llama.cpp-avx512-cuda-11-7` +- `llama.cpp-avx512-cuda-12-0` +- `llama.cpp-noavx-cuda-11-7` +- `llama.cpp-noavx-cuda-12-0` + +### CPU Only +- `llama.cpp-avx` +- `llama.cpp-avx2` +- `llama.cpp-avx512` +- `llama.cpp-noavx` + +### Other Accelerators +- `llama.cpp-vulkan` + + +- For detailed hardware compatibility, please visit our guide for [Windows](/docs/desktop/windows#compatibility). +- AVX, AVX2, and AVX-512 are CPU instruction sets. For best performance, use the most advanced instruction set your CPU supports. +- CUDA versions should match your installed NVIDIA drivers. + + + + + +### CUDA Support (NVIDIA GPUs) +- `llama.cpp-avx-cuda-11-7` +- `llama.cpp-avx-cuda-12-0` +- `llama.cpp-avx2-cuda-11-7` +- `llama.cpp-avx2-cuda-12-0` +- `llama.cpp-avx512-cuda-11-7` +- `llama.cpp-avx512-cuda-12-0` +- `llama.cpp-noavx-cuda-11-7` +- `llama.cpp-noavx-cuda-12-0` + +### CPU Only +- `llama.cpp-avx` +- `llama.cpp-avx2` +- `llama.cpp-avx512` +- `llama.cpp-noavx` + +### Other Accelerators +- `llama.cpp-vulkan` +- `llama.cpp-arm64` + + +- For detailed hardware compatibility, please visit our guide for [Linux](docs/desktop/linux). +- AVX, AVX2, and AVX-512 are CPU instruction sets. For best performance, use the most advanced instruction set your CPU supports. +- CUDA versions should match your installed NVIDIA drivers. + + + + + +### Apple Silicon +- `llama.cpp-mac-arm64`: For M1/M2/M3 Macs + +### Intel +- `llama.cpp-mac-amd64`: For Intel-based Macs + + +For detailed hardware compatibility, please visit our guide for [Mac](/docs/desktop/mac#compatibility). + + + + + + + +## Performance Settings + + +| Setting | Description | Default | +|---------|-------------|---------| +| **Continuous Batching** | - Enables processing multiple requests simultaneously

- Improves throughput for concurrent operations | Enabled | +| **Parallel Operations** | - Number of prompts to run in parallel

- Affects model inference speed | 4 | +| **CPU Threads** | - Number of CPU cores to use when running without GPU

- Higher thread counts may improve performance but increase CPU usage | Auto-detected based on your system's capabilities | + + + +## Memory Settings + +| Setting | Description | Default | +|---------|-------------|---------| +| **Flash Attention** | - Optimizes attention computation

- Reduces memory usage

- Recommended for most cases | Enabled | +| **Caching** | - Enable to store recent prompts and responses

- Improves response time for repeated prompts | Enabled | +| **KV Cache Type** | - KV cache implementation type; controls memory usage and precision trade-off

- Options:

• f16 (most stable)

• q8_0 (balanced)

• q4_0 (lowest memory) | f16 | +| **mmap** | - Enables memory-mapped model loading

- Reduces memory usage

- Recommended for large models | Enabled | + + +## Best Practices +- Start with default settings +- Adjust based on your hardware capabilities +- Monitor system performance +- Test changes with your specific use case + + +Performance impact varies by hardware, model size, and usage patterns. + + + + + + + + diff --git a/docs/src/pages/docs/models/_meta.json b/docs/src/pages/docs/models/_meta.json index bdebbe23f..6b33e308e 100644 --- a/docs/src/pages/docs/models/_meta.json +++ b/docs/src/pages/docs/models/_meta.json @@ -1,6 +1,6 @@ { "manage-models": { - "title": "Managing Models", + "title": "Model Management", "href": "/docs/models/manage-models" }, "model-parameters": { diff --git a/docs/src/pages/docs/models/manage-models.mdx b/docs/src/pages/docs/models/manage-models.mdx index d9903c6da..01f0fc06f 100644 --- a/docs/src/pages/docs/models/manage-models.mdx +++ b/docs/src/pages/docs/models/manage-models.mdx @@ -17,127 +17,104 @@ keywords: thread history, ] --- -import { Callout, Steps } from 'nextra/components' +import { Callout, Steps } from 'nextra/components' +import { Settings, EllipsisVertical, Plus, FolderOpen, Pencil } from 'lucide-react' -# Overview -This guide provides comprehensive instructions on adding, customizing, and deleting models within the Jan platform. -## Add Models +# Model Management +This guide provides comprehensive instructions on adding, customizing, and deleting models within Jan. -There are various ways to add models to Jan. +## Local Model -Currently, Jan natively supports the following model formats: -- GGUF (through a llama.cpp engine) -- TensorRT (through a TRT-LLM engine) - -### Download from Jan Hub -Jan Hub provides three convenient methods to access machine learning models. Here’s a clear step-by-step guide for each method: - -#### 1. Download from the Recommended List -The Recommended List is a great starting point if you're looking for popular and pre-configured models that work well and quickly on most computers. - -1. Open the Jan app and navigate to the Hub. -
-![Jan Hub](../_assets/hub.png) -
-2. Select models, clicking the `v` dropdown for more information. +Jan offers flexible options for managing local models through its [Cortex](https://cortex.so/) engine. Currently, Jan only supports **GGUF format** models. -Models with the `Recommended` label will likely run faster on your computer. +Local models run directly on your computer, which means they use your computer's memory (RAM) and processing power. Please choose models carefully based on your hardware specifications for [Mac](/docs/desktop/mac#compatibility), [Windows](/docs/desktop/windows#compatibility), & [Linux](/docs/desktop/linux#compatibility). -3. Click **Download** to download the model. -
-![Download Model](../_assets/download-button.png) -#### 2. Download with HuggingFace Model's ID or URL -If you need a specific model from [Hugging Face](https://huggingface.co/models), Jan Hub lets you download it directly using the model’s ID or URL. +### Add Models + +#### 1. Download from Jan Hub (Recommended) +The easiest way to get started is using Jan's built-in model hub: +1. Go to **Hub** +2. Browse available models and click on any model to see details about it +3. Choose a model that fits your needs & hardware specifications +4. Click **Download** on your chosen model + + +Jan will indicate if a model might be **Slow on your device** or **Not enough RAM** based on your system specifications. + + +
+![Download Model](../_assets/model-management-01.png) +
+ +#### 2. Import from [Hugging Face](https://huggingface.co/) +You can import GGUF models directly from [Hugging Face](https://huggingface.co/): + +##### Option A: Import in Jan +1. Visit [Hugging Face Models](https://huggingface.co/models). +2. Find a GGUF model you want to use +3. Copy the **model ID** (e.g., TheBloke/Mistral-7B-v0.1-GGUF) or its **URL** +4. In Jan, paste the model ID/URL to **Search** bar in **Hub** or in **Settings** () > **My Models** +5. Select your preferred quantized version to download + +
+![Import Model](../_assets/model-management-02.png) +
+ +##### Option B: Use Deep Link +You can use Jan's deep link feature to quickly import models: +1. Visit [Hugging Face Models](https://huggingface.co/models). +2. Find the GGUF model you want to use +3. Copy the **model ID**, for example: `bartowski/Llama-3.2-3B-Instruct-GGUF` +4. Create a **deep link URL** in this format: +``` +jan://models/huggingface/ +``` +5. Enter the URL in your browser & **Enter**, for example: +``` +jan://models/huggingface/bartowski/Llama-3.2-3B-Instruct-GGUF +``` +6. A prompt will appear: `This site is trying to open Jan`, click **Open** to open Jan app. +7. Select your preferred quantized version to download + -Only `GGUF` models are supported for this feature. +Deep linking won't work for models requiring API tokens or usage agreements. You'll need to download these models manually through the Hugging Face website. -1. Go to the [Hugging Face](https://huggingface.co/models). -2. Select the model you want to use. -3. Copy the Model's ID or URL, for example: `MaziyarPanahi/Mixtral-8x22B-Instruct-v0.1-GGUF` or `https://huggingface.co/MaziyarPanahi/Mixtral-8x22B-Instruct-v0.1-GGUF`. -4. Return to the Jan app and click on the Hub tab. +
-![Jan Hub](../_assets/hub.png) +![Deep Link](../_assets/model-management-03.png)
-5. Paste the **URL** or the **model ID** you have copied into the search bar. -
-![Search Bar](../_assets/search-bar.png) -
-6. The app will show all available versions of the model. -7. Click **Download** to download the model. -
-![Download Model](../_assets/download-button2.png) -
-#### 3. Download with Deep Link -You can also use Jan's deep link feature to download a specific model from [Hugging Face](https://huggingface.co/models). The deep link format is: `jan://models/huggingface/`. + + + +#### 3. Import Local Files +If you already have GGUF model files on your computer: +1. In Jan, go to **Hub** or **Settings** () > **My Models** +2. Click **Import Model** +3. Select your **GGUF** file(s) +4. Choose how you want to import: + - **Link Files:** Creates symbolic links to your model files (saves space) + - **Duplicate:** Makes a copy of model files in Jan's directory +5. Click **Import** to complete + -The deep link feature cannot be used for models that require: -- API Token. -- Acceptance of usage agreement. - -You will need to download such models manually. +You need to own your **model configurations**, use at your own risk. Misconfigurations may result in lower quality or unexpected outputs. -1. Go to the [Hugging Face](https://huggingface.co/models). -2. Select the model you want to use. -3. Copy the Model's ID or URL, for example: `TheBloke/Magicoder-S-DS-6.7B-GGUF`. -4. Enter the deep link URL with your chosen model's ID in your browser. For example: `jan://models/huggingface/TheBloke/Magicoder-S-DS-6.7B-GGUF` -
-![Paste the URL](../_assets/browser1.png) -
-5. A prompt will appear, click **Open** to open the Jan app. -
-![Click Open](../_assets/browser2.png) -
-6. The app will show all available versions of the model. -7. Click **Download** to download the model. -
-![Download Model](../_assets/download-button3.png) -
-### Import or Symlink Local Models -You can also point to existing model binary files on your local filesystem. -This is the easiest and most space-efficient way if you have already used other local AI applications. +
+![Download Model](../_assets/model-management-04.png) +
-1. Navigate to the Settings -
-![Jan Hub](../_assets/hub.png) -
-2. Click on `My Models` at the top. -
-![Import Model](../_assets/import.png) -
-3. Click the `Import Model` button on the top-right of your screen. -4. Click the upload icon button. -
-![Download Icon](../_assets/download-icon.png) -
-4. Import using `.GGUF` file or a folder. -
-![Import Model](../_assets/import2.png) -
-5. Select the model or the folder containing multiple models. - -### Add a Model Manually -You can also add a specific model that is not available within the **Hub** section by following the steps below: -1. Open the Jan app. -2. Click the **gear icon (⚙️)** on the bottom left of your screen. -
-![Settings](../_assets/settings.png) -
-3. Under the **Settings screen**, click **Advanced Settings**. -
-![Settings](../_assets/advance-set.png) -
-4. Open the **Jan Data folder**. -
-![Jan Data Folder](../_assets/data-folder.png) -
-5. Head to the `~/jan/data/models/`. -6. Make a new model folder and put a file named `model.json` in it. -7. Insert the following `model.json` default code: -```json -{ +#### 4. Manual Setup +For advanced users who add a specific model that is not available within Jan **Hub**: + +##### Step 1: Create Model File +1. Navigate to [Jan Data Folder]() +2. Open `models` folder +3. Create a new **Folder** for your model +4. Add a `model.json` file with your configuration: +```bash "id": "", "object": "", "name": "", @@ -155,45 +132,89 @@ You can also add a specific model that is not available within the **Hub** secti }, "engine": "", "source": "" +``` +Here's model "TinyLlama Chat 1.1B Q4" as an example: +```json +{ + "sources": [ + { + "filename": "tinyllama-1.1b-chat-v1.0.Q4_K_M.gguf", + "url": "https://huggingface.co/TheBloke/TinyLlama-1.1B-Chat-v1.0-GGUF/resolve/main/tinyllama-1.1b-chat-v1.0.Q4_K_M.gguf" + } + ], + "id": "tinyllama-1.1b", + "object": "model", + "name": "TinyLlama Chat 1.1B Q4", + "version": "1.0", + "description": "TinyLlama is a tiny model with only 1.1B. It's a good model for less powerful computers.", + "format": "gguf", + "settings": { + "ctx_len": 4096, + "prompt_template": "<|system|>\n{system_message}<|user|>\n{prompt}<|assistant|>", + "llama_model_path": "tinyllama-1.1b-chat-v1.0.Q4_K_M.gguf" + }, + "parameters": { + "temperature": 0.7, + "top_p": 0.95, + "stream": true, + "max_tokens": 2048, + "stop": [], + "frequency_penalty": 0, + "presence_penalty": 0 + }, + "metadata": { + "author": "TinyLlama", + "tags": [ + "Tiny", + "Foundation Model" + ], + "size": 669000000 + }, + "engine": "nitro" } ``` -There are two important fields in `model.json` that you need to set: - -#### Settings - -This is the field where you can set your engine configurations. - -#### Parameters - -`parameters` are the adjustable settings that affect how your model operates or processes the data. -The fields in `parameters` are typically general and can be the same across models. Here is an example of model parameters: - -```json +##### Step 2: Modify Model Parameters +Modify model parameters under the settings array. Key fields to configure: +1. **Settings** is where you can set your engine configurations. +2. [**Parameters**](/docs/models/model-parameters) are the adjustable settings that affect how your model operates or processes the data. The fields in parameters are typically general and can be the same across models. Here is an example of model parameters: +``` "parameters":{ "temperature": 0.7, "top_p": 0.95, "stream": true, "max_tokens": 4096, "frequency_penalty": 0, - "presence_penalty": 0 + "presence_penalty": 0, } ``` + - -To see the complete list of a model's parameters, please see [Model Parameters](/docs/models#model-parameters). +### Delete Models +1. Go to **Settings** () > **My Models** +2. Find the model you want to remove +3. Select the three dots icon next to it and select **Delete Model** + +
+![Delete Model](../_assets/model-management-05.png) +
+ + +## Cloud model + +When using cloud models, be aware of any associated costs and rate limits from the providers. -## Delete Models -To delete a model: +Jan supports connecting to various AI cloud providers that are OpenAI API-compatible, including: OpenAI (GPT-4, o1,...), Anthropic (Claude), Groq, Mistral, and more. +1. Navigate to **Settings** () +2. Under **Remote Engines** section in the left sidebar, choose your preferred engines (OpenAI, Anthropic, etc.) +3. Enter your API key +4. The activated cloud models will be available in your model selector in **Threads** -1. Go to **Settings**.
-![Settings](../_assets/settings.png) +![Download Model](../_assets/model-management-06.png)
-2. Go to **My Models**. + +Cloud models cannot be deleted, but you can hide them by disabling their respective provider engines in **Settings** > **Engines**.
-![My Models](../_assets/mymodels.png) -
-3. Select the three dots next and select **Delete model**. -
-![Delete Model](../_assets/delete.png) \ No newline at end of file +![Download Model](../_assets/model-management-07.png) +
\ No newline at end of file diff --git a/docs/src/pages/docs/models/model-parameters.mdx b/docs/src/pages/docs/models/model-parameters.mdx index 855cc990e..2d74c306e 100644 --- a/docs/src/pages/docs/models/model-parameters.mdx +++ b/docs/src/pages/docs/models/model-parameters.mdx @@ -19,51 +19,47 @@ keywords: --- import { Callout, Steps } from 'nextra/components' -## Model Parameters -A model has three main parameters to configure: -- Inference Parameters -- Model Parameters -- Engine Parameters +# Model Parameters +To customize model settings for a conversation: +1. In any **Threads**, click **Model** tab in the **right sidebar** +2. You can customize the following parameter types: +- **Inference Parameters:** Control how the model generates responses +- **Model Parameters:** Define the model's core properties and capabilities +- **Engine Parameters:** Configure how the model runs on your hardware + +
+![Download Model](../_assets/model-parameters.png) +
### Inference Parameters -Inference parameters are settings that control how an AI model generates outputs. These parameters include the following: -| Parameter | Description | +These settings determine how the model generates and formats its outputs. +| Parameter | Description | |---------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| -| **Temperature** | - Influences the randomness of the model's output.

- A higher temperature leads to more random and diverse responses, while a lower temperature produces more predictable outputs. | -| **Top P** | - Sets a probability threshold, allowing only the most likely tokens whose cumulative probability exceeds the threshold to be considered for generation.

- A lower top-P value (e.g., 0.9) may be more suitable for focused, task-oriented applications, while a higher top-P value (e.g., 0.95 or 0.97) may be better for more open-ended, creative tasks. | -| **Stream** | - Enables real-time data processing, which is useful for applications needing immediate responses, like live interactions. It accelerates predictions by processing data as it becomes available.

- Turned on by default. | -| **Max Tokens** | - Sets the upper limit on the number of tokens the model can generate in a single output.

- A higher limit benefits detailed and complex responses, while a lower limit helps maintain conciseness.| -| **Stop Sequences** | - Defines specific tokens or phrases that signal the model to stop producing further output.

- Use common concluding phrases or tokens specific to your application’s domain to ensure outputs terminate appropriately. | -| **Frequency Penalty** | - Modifies the likelihood of the model repeating the same words or phrases within a single output, reducing redundancy in the generated text.

- Increase the penalty to avoid repetition in scenarios where varied language is preferred, such as creative writing or content generation.| -| **Presence Penalty** | - Encourages the generation of new and varied concepts by penalizing tokens that have already appeared, promoting diversity and novelty in the output.

- Use a higher penalty for tasks requiring high novelty and variety, such as brainstorming or ideation sessions.| +| **Temperature** | - Controls response randomness.

- Lower values (0.0-0.5) give focused, deterministic outputs. Higher values (0.8-2.0) produce more creative, varied responses. | +| **Top P** | - Sets the cumulative probability threshold for token selection.

- Lower values (0.1-0.7) make responses more focused and conservative. Higher values (0.8-1.0) allow more diverse word choices.| +| **Stream** | - Enables real-time response streaming. | +| **Max Tokens** | - Limits the length of the model's response.

- A higher limit benefits detailed and complex responses, while a lower limit helps maintain conciseness.| +| **Stop Sequences** | - Defines tokens or phrases that will end the model's response.

- Use common concluding phrases or tokens specific to your application’s domain to ensure outputs terminate appropriately. | +| **Frequency Penalty** | - Reduces word repetition.

- Higher values (0.5-2.0) encourage more varied language. Useful for creative writing and content generation.| +| **Presence Penalty** | - Encourages the model to explore new topics.

- Higher values (0.5-2.0) help prevent the model from fixating on already-discussed subjects.| -### Model Parameter -Model parameters are the settings that define and configure the model's behavior. These parameters include the following: + + + +### Model Parameters +This setting defines and configures the model's behavior. | Parameter | Description | |---------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| -| **Prompt Template** | - This predefined text or framework generates responses or predictions. It is a structured guide that the AI model fills in or expands upon during the generation process.

- For example, a prompt template might include placeholders or specific instructions that direct how the model should formulate its outputs. | +| **Prompt Template** | A structured format that guides how the model should respond. Contains **placeholders** and **instructions** that help shape the model's output in a consistent way.| ### Engine Parameters -Engine parameters are the settings that define how the model processes input data and generates output. These parameters include the following: +These settings parameters control how the model runs on your hardware. | Parameter | Description | |---------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| -| **Number of GPU Layers (ngl)** | - This parameter specifies the number of transformer layers in the model that are offloaded to the GPU for accelerated computation. Utilizing the GPU for these layers can significantly reduce inference time due to the parallel processing capabilities of GPUs.

- Adjusting this parameter can help balance between computational load on the GPU and CPU, potentially improving performance for different deployment scenarios. | -| **Context Length** | - This parameter determines the maximum input amount the model can generate responses. The maximum context length varies with the model used. This setting is crucial for the model’s ability to produce coherent and contextually appropriate outputs.

- For tasks like summarizing long documents that require extensive context, use a higher context length. A lower setting can quicken response times and lessen computational demand for simpler queries or brief interactions. | +| **Number of GPU Layers (ngl)** | - Controls how many layers of the model run on your GPU.

- More layers on GPU generally means faster processing, but requires more GPU memory.| +| **Context Length** | - Controls how much text the model can consider at once.

- Longer context allows the model to handle more input but uses more memory and runs slower.

- The maximum context length varies with the model used.

| -By default, Jan sets the **Context Length** to the maximum supported by your model, which may slow down response times. For lower-spec devices, reduce **Context Length** to **1024** or **2048**, depending on your device's specifications, to improve speed. +By default, Jan defaults to the minimum between **8192** and the model's maximum context length, you can adjust this based on your needs. -## Customize the Model Settings -Adjust model settings for a specific conversation: - -1. Navigate to a **thread**. -2. Click the **Model** tab. -
-![Specific Conversation](../_assets/model-tab.png) -3. You can customize the following parameters: - - Inference parameters - - Model parameters - - Engine parameters -
-![Specific Conversation](../_assets/model-parameters.png) diff --git a/docs/src/pages/docs/quickstart.mdx b/docs/src/pages/docs/quickstart.mdx index 192b63efc..62a923b51 100644 --- a/docs/src/pages/docs/quickstart.mdx +++ b/docs/src/pages/docs/quickstart.mdx @@ -1,5 +1,5 @@ --- -title: Desktop installation +title: Installation description: Get started quickly with Jan, a ChatGPT-alternative that runs on your own computer, with a local API server. Learn how to install Jan and select an AI model to start chatting. sidebar_position: 2 keywords: @@ -22,96 +22,98 @@ keywords: import { Tabs } from 'nextra/components' import { Callout, Steps } from 'nextra/components' +import { Settings } from 'lucide-react' # Quickstart ### Step 1: Install Jan -You can run Jan either on your desktop using the Jan desktop app or on a server by installing the Jan server. To get started, check out the [Desktop](/docs/desktop) installation pages. +1. [Download Jan](/download) +2. Install the application on your system ([Mac](/docs/desktop/mac), [Windows](/docs/desktop/windows), [Linux](/docs/desktop/linux)) +3. Launch Jan -Once you have installed Jan, you should see the Jan application as shown below without any local model installed: +Once installed, you'll see Jan application interface with no models pre-installed yet. You'll be able to: +- Download and run local AI models +- Connect to cloud AI providers if desired
-![Default State](./_assets/default.gif) +![Default State](./_assets/quick-start-01.png)
-### Step 2: Turn on the GPU Acceleration (Optional) -If you have a graphics card, boost model performance by enabling GPU acceleration: -1. Open Jan application. -2. Go to **Settings** -> **Advanced Settings** -> **GPU Acceleration**. -3. Click the Slider and choose your preferred GPU. -3. A success notification saying **Successfully turned on GPU acceleration** will appear when GPU acceleration is activated. +### Step 2: Download a Model +Jan offers various local AI models, from smaller efficient models to larger more capable ones: +1. Go to **Hub** +2. Browse available models and click on any model to see details about it +3. Choose a model that fits your needs & hardware specifications +4. Click **Download** to begin installation -Ensure you have installed your GPU driver. Please see [Desktop](/docs/desktop) for more information on activating the GPU acceleration. +Local models run directly on your computer, which means they use your computer's memory (RAM) and processing power. Please choose models carefully based on your hardware specifications ([Mac](/docs/desktop/mac#minimum-requirements), [Windows](/docs/desktop/windows#compatibility), [Linux](/docs/desktop/linux#compatibility)). + + +For more model installation methods, please visit [Model Management](/docs/models/manage-models). + +
+![Download a Model](./_assets/model-management-01.png) +
+ +### Step 3: Turn on GPU Acceleration (Optional) +While the model downloads, let's optimize your hardware setup. If you're on **Windows** or **Linux** and have a compatible graphics card, you can significantly boost model performance by enabling GPU acceleration. +1. Navigate to **Settings** () > **Advanced Settings** +2. At **GPU Acceleration**, toggle on and select your preferred GPU(s) +3. App reload is required after the selection + + +Ensure you have installed all required dependencies and drivers before enabling GPU acceleration. See **GPU Setup Guide** on [Windows](/docs/desktop/windows#gpu-acceleration) & [Linux](/docs/desktop/linux#gpu-acceleration) for detailed instructions.
-![Turn on GPU acceleration](./_assets/gpu2.gif) +![Turn on GPU acceleration](./_assets/trouble-shooting-01.png) -### Step 3: Download a Model +### Step 4: Customize Assistant Instructions +Once your model has been downloaded and you're ready to start your first conversation, you can customize how it responds by setting specific instructions: +1. In any **Thread**, click the **Assistant** tab in the **right sidebar** +2. Enter your instructions in **Instructions** field to define how Jan should respond -Jan offers various local AI models tailored to different needs, all ready for download directly to your device: - -1. Go to the **Hub**. -2. Select the models that you would like to install. To see model details, click the model name. -3. You can also paste the Hugging Face model's **ID** or **URL** in the search bar. - -Ensure you select the appropriate model size by balancing performance, cost, and resource considerations in line with your task's specific requirements and hardware specifications. - -4. Click the **Download** button. +You can modify these instructions at any time during your conversation to adjust Jan's behavior for that specific thread. See detailed guide at [Assistant](/docs/assistants).
-![Download a Model](./_assets/download-model2.gif) +![Assistant Instruction](./_assets/quick-start-02.png) + +
+### Step 5: Start Chatting and Fine-tune Settings +Now that your model is downloaded and instructions are set, you can begin chatting with Jan. Type your message in the **input field** at the bottom of the thread to start the conversation. + +You can further customize your experience by: +- Adjust [model parameters](/docs/models/model-parameters) in the **Model** tab in the **right sidebar** +- Try different models for different tasks by clicking the **model selector** in **Model** tab or **input field** +- [Create new threads](/docs/threads#creating-new-thread) with different instructions and model configurations + +
-5. Go to the **Thread** tab. -6. Click the **Model** tab button. -7. Choose either **On-device** or **Cloud** section. -8. Adjust the configurations as needed. - - Please see [Model Parameters](/docs/models#model-parameters) for detailed model configuration. - +![Chat with a Model](./_assets/model-parameters.png)
-![Parameters](./_assets/inf.gif) +### Step 6: Connect to cloud models (Optional) +Jan supports both local and cloud AI models. You can connect to cloud AI services that are OpenAI API-compatible, including: OpenAI (GPT-4, o1,...), Anthropic (Claude), Groq, Mistral, and more. +1. Open any **Thread** +2. Click **Model** tab in the **right sidebar** or **model selector** in input field +3. Once the selector is poped up, choose the **Cloud** tab +4. Select your preferred provider (Anthropic, OpenAI, etc.), click **Add (➕)** icon next to the provider +5. Obtain a valid API key from your chosen provider, ensure the key has sufficient credits & appropriate permissions +6. Copy & insert your **API Key** in Jan -### Step 4: Customize the Assistant Instruction -Customize Jan's assistant behavior by specifying queries, commands, or requests in the Assistant Instructions field to get the most responses from your assistant. To customize, follow the steps below: -1. On the **Thread** section, navigate to the right panel. -2. Select the **Assistant** tab menu. -3. Provide a specific guideline under the **Instructions** field. -
- -![Assistant Instruction](./_assets/asst.gif) +See [Remote APIs](/docs/remote-models/openai) for detailed configuration.
-### Step 5: Start Thread - -Once you have downloaded a model and customized your assistant instruction, you can start chatting with the model. - +![Connect Remote APIs](./_assets/quick-start-03.png)
-![Chat with a Model](./_assets/chat.gif) - -
- -### Step 6: Connect to a Remote API -Jan also offers access to remote models hosted on external servers. You can link up with any Remote AI APIs compatible with OpenAI. Jan comes with numerous extensions that facilitate connections to various remote AI APIs. To explore and connect to Remote APIs, follow these steps: -1. On the **Thread** section, navigate to the right panel. -2. Select the **Model** tab menu. -3. Next to the **OpenAI** models -> click the **Gear Icon (⚙️)**. -4. Enter your OpenAI API **Keys**. - -
- -![Connect Remote API](./_assets/server-openai2.gif) - -
 ## What's Next? diff --git a/docs/src/pages/docs/remote-models/_meta.json b/docs/src/pages/docs/remote-models/_meta.json index 97ad17bad..529047774 100644 --- a/docs/src/pages/docs/remote-models/_meta.json +++ b/docs/src/pages/docs/remote-models/_meta.json @@ -1,38 +1,39 @@ { - "openai": { - "title": "OpenAI API", - "href": "/docs/remote-models/openai" - }, - "azure": { - "title": "Azure OpenAI API", - "href": "/docs/remote-models/azure", - "display": "hidden" - }, - "groq": { "title": "Groq API", "href": "/docs/remote-models/groq" }, - "mistralai": { - "title": "Mistral AI API", - "href": "/docs/remote-models/mistralai" - }, - "openrouter": { "title": "OpenRouter", "href": "/docs/remote-models/openrouter" }, - "generic-openai": { "title": "Any OpenAI Compatible API", "href": "/docs/remote-models/generic-openai", "display": "hidden"}, - "martian": { - "title": "Martian API", - "href": "/docs/remote-models/martian" - }, - "cohere": { - "title": "Cohere API", - "href": "/docs/remote-models/cohere" - }, "anthropic": { - "title": "Anthropic API", + "title": "Anthropic", "href": "/docs/remote-models/anthropic" }, + "cohere": { + "title": "Cohere", + "href": "/docs/remote-models/cohere" + }, + "groq": { + "title": "Groq", + "href": "/docs/remote-models/groq" + }, + "martian": { + "title": "Martian", + "href": "/docs/remote-models/martian" + }, + "mistralai": { + "title": "Mistral AI", + "href": "/docs/remote-models/mistralai" + }, "nvidia-nim": { - "title": "NVIDIA NIM API", + "title": "Nvidia NIM", "href": "/docs/remote-models/nvidia-nim" }, + "openai": { + "title": "OpenAI", + "href": "/docs/remote-models/openai" + }, + "openrouter": { + "title": "OpenRouter", + "href": "/docs/remote-models/openrouter" + }, "triton": { "title": "Triton-TRT-LLM", - "href": "/docs/remote-models/triton" + "href": "/docs/remote-models/triton", + "display": "hidden" } -} +} \ No newline at end of file diff --git a/docs/src/pages/docs/remote-models/anthropic.mdx b/docs/src/pages/docs/remote-models/anthropic.mdx index 33259bb3b..8b7fdbccd 100644 --- a/docs/src/pages/docs/remote-models/anthropic.mdx +++ b/docs/src/pages/docs/remote-models/anthropic.mdx @@ -16,46 +16,71 @@ keywords: --- import { Callout, Steps } from 'nextra/components' +import { Settings, Plus } from 'lucide-react' # Anthropic -## How to Integrate Anthropic with Jan +Jan supports [Anthropic](https://anthropic.com/) API integration, allowing you to use Claude models (Claude 3, Claude 2.1, and more) through Jan's interface. -This guide provides step-by-step instructions on integrating Anthropic with Jan, enabling users to chat with Claude's LLMs within Jan's conversational interface. - -Before proceeding, ensure you have the following: -- Access to the Jan application -- Anthropic API credentials - -## Integration Steps +## Integrate Anthropic API with Jan +### Step 1: Get Your API Key +1. Visit [Anthropic Console](https://console.anthropic.com/settings/keys) and sign in +2. Create & copy a new API key or copy your existing one -### Step 1: Configure Anthropic API Key -1. Obtain Anthropic API Keys from your [Anthropic Console](https://console.anthropic.com/). -2. Copy your **Anthropic API Key**. -3. There are three ways to configure your API Key in Jan app: - - Navigate to the **Jan app** > **Gear Icon (⚙️)** > **My Models** tab > **Add Icon (➕)** next to **Anthropic**. - - Navigate to the **Jan app** > **Thread** > **Model** tab > **Add Icon (➕)** next to **Anthropic**. - - Navigate to the **Jan app** > **Gear Icon (⚙️)** > **Anthropic** section under Model Providers. -4. Insert your **Anthropic API Key**. - -### Step 2: Start Chatting with the Model - -1. Select the Anthropic model you want to use. -Anthropic is the default extension for the Jan application. All the Anthropic models are automatically installed when you install the Jan application. +Ensure your API key has sufficient credits -2. Specify the model's parameters. -3. Start the conversation with the Anthropic model. +### Step 2: Configure Jan +There are two ways to add your Anthropic API keys in Jan: +**Through Threads:** +1. In Threads, click **Model** tab in the **right sidebar** or **model selector** in input field +2. Once the selector is poped up, choose the **Cloud** tab +3. Click **Add** () icon next to **Anthropic** +4. Once you are directed to Anthropic settings, insert your **API Key** + +**Through Settings:** +1. Navigate to **Settings** () +2. Under **Remote Engines**, select **Anthropic** +3. Insert your **API Key** + +
+![Anthropic](../_assets/anthropic.png) +
+ +### Step 3: Start Using Anthropic's Models + +1. In any existing **Threads** or create a new one +2. Select an Anthropic model from **model selector** +3. Start chatting +## Available Anthropic Models + +Jan automatically includes Anthropic's available models. In case you want to use a specific Anthropic model that you cannot find in **Jan**, follow instructions in [Manual Setup](/docs/models/manage-models#4-manual-setup) to add custom models: + - See list of available models in [Anthropic Models](https://docs.anthropic.com/claude/docs/models-overview). + - The `id` property must match the model name in the list. For example, `claude-3-opus-20240229`, `claude-3-sonnet-20240229`, or `claude-2.1`. + ## Troubleshooting -If you encounter any issues during the integration process or while using Anthropic with Jan, consider the following troubleshooting steps: +Common issues and solutions: -- Double-check your API credentials to ensure they are correct. -- Check for error messages or logs that may provide insight into the issue. -- Reach out to Anthropic API support for assistance if needed. \ No newline at end of file +**1. API Key Issues** +- Verify your API key is correct and not expired +- Check if you have billing set up on your Anthropic account +- Ensure you have access to the model you're trying to use + +**2. Connection Problems** +- Check your internet connection +- Verify Anthropic's system status +- Look for error messages in [Jan's logs](/docs/troubleshooting#how-to-get-error-logs) + +**3. Model Unavailable** +- Confirm your API key has access to the model +- Check if you're using the correct model ID +- Verify your Anthropic account has the necessary permissions + +Need more help? Join our [Discord community](https://discord.gg/FTk2MvZwJH) or check the [Anthropic documentation](https://docs.anthropic.com/claude/docs). \ No newline at end of file diff --git a/docs/src/pages/docs/remote-models/azure.mdx b/docs/src/pages/docs/remote-models/azure.mdx deleted file mode 100644 index af49fe89b..000000000 --- a/docs/src/pages/docs/remote-models/azure.mdx +++ /dev/null @@ -1,58 +0,0 @@ ---- -title: Azure OpenAI -description: A step-by-step guide on integrating Jan with Azure OpenAI. -keywords: - [ - Jan, - Customizable Intelligence, LLM, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - integration, - Azure OpenAI Service, - ] ---- - -import { Callout, Steps } from 'nextra/components' - - - -# Azure OpenAI API - -## How to Integrate Azure OpenAI API with Jan -This guide provides step-by-step instructions for integrating the Azure OpenAI API with Jan, allowing users to utilize Azure's capabilities within Jan's conversational interface. - -## Integration Steps - -### Step 1: Configure OpenAI API Key -1. Obtain OpenAI API Key from your [OpenAI Platform](https://platform.openai.com/api-keys) dashboard. -2. Copy your **OpenAI API Key**. -3. There are three ways to configure your API Key in Jan app: - - Navigate to the **Jan app** > **Gear Icon (⚙️)** > **My Models** tab > **Add Icon (➕)** next to **OpenAI**. - - Navigate to the **Jan app** > **Thread** > **Model** tab > **Add Icon (➕)** next to **OpenAI**. - - Navigate to the **Jan app** > **Gear Icon (⚙️)** > **OpenAI** section under Model Providers. -4. Insert your **OpenAI API Key**. - - -The **OpenAI** fields can be used for any OpenAI-compatible API. - - -### Step 2: Start Chatting with the Model - -1. Select the OpenAI model you want to use. -2. Specify the model's parameters. -3. Start the conversation with the OpenAI model. - - - -## Troubleshooting - -If you encounter any issues during the integration process or while using OpenAI with Jan, consider the following troubleshooting steps: - -- Double-check your API credentials to ensure they are correct. -- Check for error messages or logs that may provide insight into the issue. -- Reach out to Azure OpenAI API support for assistance if needed. \ No newline at end of file diff --git a/docs/src/pages/docs/remote-models/cohere.mdx b/docs/src/pages/docs/remote-models/cohere.mdx index 8f774a0de..41e60431d 100644 --- a/docs/src/pages/docs/remote-models/cohere.mdx +++ b/docs/src/pages/docs/remote-models/cohere.mdx @@ -16,46 +16,71 @@ keywords: --- import { Callout, Steps } from 'nextra/components' +import { Settings, Plus } from 'lucide-react' # Cohere -## How to Integrate Cohere with Jan +Jan supports [Cohere](https://cohere.com/) API integration, allowing you to use Cohere's models (Command, Command-R and more) through Jan's interface. -This guide provides step-by-step instructions on integrating Cohere with Jan, enabling users to chat with Cohere's LLMs within Jan's conversational interface. - -Before proceeding, ensure you have the following: -- Access to the Jan application -- Cohere API credentials - -## Integration Steps +## Integrate Cohere API with Jan +### Step 1: Get Your API Key +1. Visit [Cohere Dashboard](https://dashboard.cohere.com/api-keys) and sign in +2. Create & copy a new API key or copy your existing one -### Step 1: Configure Cohere API Key -1. Obtain Cohere API Keys from your [Cohere Dashboard](https://dashboard.cohere.com/). -2. Copy your **Cohere API Key**. -3. There are three ways to configure your API Key in Jan app: - - Navigate to the **Jan app** > **Gear Icon (⚙️)** > **My Models** tab > **Add Icon (➕)** next to **Cohere**. - - Navigate to the **Jan app** > **Thread** > **Model** tab > **Add Icon (➕)** next to **Cohere**. - - Navigate to the **Jan app** > **Gear Icon (⚙️)** > **Cohere** section under Model Providers. -4. Insert your **Cohere API Key**. - - -### Step 2: Start Chatting with the Model - -1. Select the Cohere model you want to use. -Cohere is the default extension for the Jan application. All the Cohere models are automatically installed when you install the Jan application. +Ensure your API key has sufficient credits -2. Specify the model's parameters. -3. Start the conversation with the Cohere model. +### Step 2: Configure Jan +There are two ways to add your Cohere API keys in Jan: + +**Through Threads:** +1. In Threads, click **Model** tab in the **right sidebar** or **model selector** in input field +2. Once the selector is poped up, choose the **Cloud** tab +3. Click **Add** () icon next to **Cohere** +4. Once you are directed to Cohere settings, insert your **API Key** + +**Through Settings:** +1. Navigate to **Settings** () +2. Under **Remote Engines**, select **Cohere** +3. Insert your **API Key** + +
+![Cohere](../_assets/cohere.png) +
+ +### Step 3: Start Using Cohere's Models + +1. In any existing **Threads** or create a new one +2. Select a Cohere model from **model selector** +3. Start chatting +## Available Cohere Models + +Jan automatically includes Cohere's available models. In case you want to use a specific Cohere model that you cannot find in **Jan**, follow instructions in [Manual Setup](/docs/models/manage-models#4-manual-setup) to add custom models: + - See list of available models in [Cohere Documentation](https://docs.cohere.com/v2/docs/models). + - The `id` property must match the model name in the list. For example, `command-nightly` or `command-light`. + ## Troubleshooting -If you encounter any issues during the integration process or while using Cohere with Jan, consider the following troubleshooting steps: +Common issues and solutions: -- Double-check your API credentials to ensure they are correct. -- Check for error messages or logs that may provide insight into the issue. -- Reach out to Cohere API support for assistance if needed. \ No newline at end of file +**1. API Key Issues** +- Verify your API key is correct and not expired +- Check if you have billing set up on your Cohere account +- Ensure you have access to the model you're trying to use + +**2. Connection Problems** +- Check your internet connection +- Verify Cohere's [system status](https://status.cohere.com/) +- Look for error messages in [Jan's logs](/docs/troubleshooting#how-to-get-error-logs) + +**3. Model Unavailable** +- Confirm your API key has access to the model +- Check if you're using the correct model ID +- Verify your Cohere account has the necessary permissions + +Need more help? Join our [Discord community](https://discord.gg/FTk2MvZwJH) or check the [Cohere documentation](https://docs.cohere.com). \ No newline at end of file diff --git a/docs/src/pages/docs/remote-models/generic-openai.mdx b/docs/src/pages/docs/remote-models/generic-openai.mdx deleted file mode 100644 index 22f483372..000000000 --- a/docs/src/pages/docs/remote-models/generic-openai.mdx +++ /dev/null @@ -1,69 +0,0 @@ ---- -title: Any OpenAI Compatible API -description: A step-by-step guide on how to set up Jan to connect with any remote or local API server. -keywords: - [ - Jan, - Customizable Intelligence, LLM, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - import-models-manually, - remote server, - OAI compatible, - ] ---- - -import { Callout, Steps } from 'nextra/components' - -# Any OpenAI-compatible API -This guide outlines the process for configuring Jan as a client for both remote and local API servers, using the `mistral-ins-7b-q4` model for illustration. We'll show how to connect to Jan's API-hosting servers. - - - Currently, you can only connect to one OpenAI-compatible endpoint at a time. - - - -### Step 1: Configure a Client Connection - -1. Navigate to the **Jan app** > **Settings**. -2. Select the **OpenAI**. - - -The **OpenAI** fields can be used for any OpenAI-compatible API. - - -3. Insert the **API Key** and the **endpoint URL** into their respective fields. For example, if you're going to communicate to Jan's API server, you can configure it as follows: -```json -"full_url": "https://:1337/v1/chat/completions" -``` - - Please note that currently, the code that supports any OpenAI-compatible endpoint only reads the `~/jan/data/extensions/@janhq/inference-openai-extension/settings.json` file, which is OpenAI Inference Engines in the extensions page. Thus, it will not search any other files in this directory. - -
-![Server Setup](../_assets/OpenAi-1.gif) - -### Step 2: Start Chatting with the Model - -1. Navigate to the **Hub** section. -2. Select the model you want to use. -3. Specify the model's parameters. -4. Start the conversation with the model. -
-![Start Model](../_assets/OpenAi-2.gif) - - - If you have questions or want more preconfigured GGUF models, please join our [Discord community](https://discord.gg/Dt7MxDyNNZ) for support, updates, and discussions. - - -## Troubleshooting - -If you encounter any issues during the integration process or while using OpenAI with Jan, consider the following troubleshooting steps: - -- Double-check your API credentials to ensure they are correct. -- Check for error messages or logs that may provide insight into the issue. -- Reach out to their API support for assistance if needed. \ No newline at end of file diff --git a/docs/src/pages/docs/remote-models/groq.mdx b/docs/src/pages/docs/remote-models/groq.mdx index 32c192fc5..c0ccaf627 100644 --- a/docs/src/pages/docs/remote-models/groq.mdx +++ b/docs/src/pages/docs/remote-models/groq.mdx @@ -16,47 +16,72 @@ keywords: --- import { Callout, Steps } from 'nextra/components' +import { Settings, Plus } from 'lucide-react' -# Groq API +# Groq -## How to Integrate Groq API with Jan +Jan supports [Groq](https://groq.com/) API integration, allowing you to use Groq's high-performance LLM models (LLaMA 2, Mixtral and more) through Jan's interface. -This guide provides step-by-step instructions on integrating the Groq API with Jan, enabling users to leverage Groq's capabilities within Jan's conversational interface. - -Before proceeding, ensure you have the following: -- Access to the Jan application -- Groq API credentials - -## Integration Steps +## Integrate Groq API with Jan - -### Step 1: Configure Groq API Key -1. Obtain Groq API Keys from your [Groq Console](https://console.groq.com/keys) dashboard. -2. Copy your **Groq API Key**. -3. There are three ways to configure your API Key in Jan app: - - Navigate to the **Jan app** > **Gear Icon (⚙️)** > **My Models** tab > **Add Icon (➕)** next to **Groq**. - - Navigate to the **Jan app** > **Thread** > **Model** tab > **Add Icon (➕)** next to **Groq**. - - Navigate to the **Jan app** > **Gear Icon (⚙️)** > **Groq** section under Model Providers. -4. Insert your **Groq API Key**. - -### Step 2: Start Chatting with the Model - -1. Select the Groq model you want to use. +### Step 1: Get Your API Key +1. Visit [Groq Console](https://console.groq.com/keys) and sign in +2. Create & copy a new API key or copy your existing one - The Groq Inference Engine is the default extension for the Jan application. All the Groq models are automatically installed when you install the Jan application. +Ensure your API key has sufficient credits -2. Specify the model's parameters. -3. Start the conversation with the Groq model. + +### Step 2: Configure Jan +There are two ways to add your Groq API keys in Jan: + +**Through Threads:** +1. In Threads, click **Model** tab in the **right sidebar** or **model selector** in input field +2. Once the selector is poped up, choose the **Cloud** tab +3. Click **Add** () icon next to **Groq** +4. Once you are directed to Groq settings, insert your **API Key** + +**Through Settings:** +1. Navigate to **Settings** () +2. Under **Remote Engines**, select **Groq** +3. Insert your **API Key** + +
+![Groq](../_assets/groq.png) +
+### Step 3: Start Using Groq's Models + +1. In any existing **Threads** or create a new one +2. Select a Groq model from **model selector** +3. Start chatting +## Available Models Through Groq + +Jan automatically includes Groq's available models. In case you want to use a specific Groq model that you cannot find in **Jan**, follow instructions in [Manual Setup](/docs/models/manage-models#4-manual-setup) to add custom models: + - See list of available models in [Groq Documentation](https://console.groq.com/docs/models). + - The `id` property must match the model name in the list. For example, if you want to use Llama3.3 70B, you must set the `id` property to `llama-3.3-70b-versatile`. + ## Troubleshooting -If you encounter any issues during the integration process or while using Groq with Jan, consider the following troubleshooting steps: +Common issues and solutions: -- Double-check your API credentials to ensure they are correct. -- Check for error messages or logs that may provide insight into the issue. -- Reach out to Groq API support for assistance if needed. \ No newline at end of file +**1. API Key Issues** +- Verify your API key is correct and not expired +- Check if you have billing set up on your Groq account +- Ensure you have access to the model you're trying to use + +**2. Connection Problems** +- Check your internet connection +- Verify Groq's system status +- Look for error messages in [Jan's logs](/docs/troubleshooting#how-to-get-error-logs) + +**3. Model Unavailable** +- Confirm your API key has access to the model +- Check if you're using the correct model ID +- Verify your Groq account has the necessary permissions + +Need more help? Join our [Discord community](https://discord.gg/FTk2MvZwJH) or check the [Groq documentation](https://console.groq.com/docs). \ No newline at end of file diff --git a/docs/src/pages/docs/remote-models/martian.mdx b/docs/src/pages/docs/remote-models/martian.mdx index 03278709a..9b494419c 100644 --- a/docs/src/pages/docs/remote-models/martian.mdx +++ b/docs/src/pages/docs/remote-models/martian.mdx @@ -14,48 +14,71 @@ keywords: API integration ] --- - import { Callout, Steps } from 'nextra/components' +import { Settings, Plus } from 'lucide-react' # Martian -## How to Integrate Martian with Jan +Jan supports [Martian](https://withmartian.com/) API integration, allowing you to use Martian's models through Jan's interface. -This guide provides step-by-step instructions on integrating Martian with Jan, enabling users to leverage Martian's capabilities within Jan's conversational interface. - -Before proceeding, ensure you have the following: -- Access to the Jan application -- Martian API credentials - -## Integration Steps +## Integrate Martian with Jan +### Step 1: Get Your API Key +1. Visit [Martian API Keys](https://www.withmartian.com/dashboard/undefined/api-keys) and sign in +2. Create & copy a new API key or copy your existing one -### Step 1: Configure Martian API Key -1. Obtain Martian API Keys from your [Martian Dashboard](https://auth.withmartian.com/). -2. Copy your **Martian API Key**. -3. There are three ways to configure your API Key in Jan app: - - Navigate to the **Jan app** > **Gear Icon (⚙️)** > **My Models** tab > **Add Icon (➕)** next to **Martian**. - - Navigate to the **Jan app** > **Thread** > **Model** tab > **Add Icon (➕)** next to **Martian**. - - Navigate to the **Jan app** > **Gear Icon (⚙️)** > **Martian** section under Model Providers. -4. Insert your **Martian API Key**. - - -### Step 2: Start Chatting with the Model - -1. Select the Martian model you want to use. -Martian is the default extension for the Jan application. All the Martian models are automatically installed when you install the Jan application. +Ensure your API key has sufficient credits -2. Specify the model's parameters. -3. Start the conversation with the Martian model. +### Step 2: Configure Jan +There are two ways to add your Martian key in Jan: + +**Through Threads:** +1. In Threads, click **Model** tab in the **right sidebar** or **model selector** in input field +2. Once the selector is poped up, choose the **Cloud** tab +3. Click **Add** () icon next to **Martian** +4. Once you are directed to Martian settings, insert your **API Key** + +**Through Settings:** +1. Navigate to **Settings** () +2. Under **Remote Engines**, select **Martian** +3. Insert your **API Key** + +
+![Martian](../_assets/martian.png) +
+ +### Step 3: Start Using Martian Models + +1. In any existing **Threads** or create a new one +2. Select a Martian model from **model selector** +3. Start chatting +## Available Models + +Jan includes the Martian Model Router which automatically selects the best model for your use case. You can start using it right away after configuring your API key. See list of available models in [Martian Documentation](https://docs.withmartian.com/martian-model-router/getting-started/supported-models-gateway). + + ## Troubleshooting -If you encounter any issues during the integration process or while using Martian with Jan, consider the following troubleshooting steps: +Common issues and solutions: -- Double-check your API credentials to ensure they are correct. -- Check for error messages or logs that may provide insight into the issue. -- Reach out to Martian API support for assistance if needed. \ No newline at end of file +**1. API Key Issues** +- Verify your API key is correct and not expired +- Check if you have billing set up on your Martian account +- Ensure you have access to the model you're trying to use + +**2. Connection Problems** +- Check your internet connection +- Verify Martian's system status +- Look for error messages in [Jan's logs](/docs/troubleshooting#how-to-get-error-logs) + +**3. Model Unavailable** +- Confirm your API key has access to the model +- Check if you're using the correct model ID +- Verify your Martian account has the necessary permissions + +Need more help? Join our [Discord community](https://discord.gg/FTk2MvZwJH) or check the [Martian documentation](https://docs.withmartian.com/martian-model-router). \ No newline at end of file diff --git a/docs/src/pages/docs/remote-models/mistralai.mdx b/docs/src/pages/docs/remote-models/mistralai.mdx index 5e153dbec..c1051a703 100644 --- a/docs/src/pages/docs/remote-models/mistralai.mdx +++ b/docs/src/pages/docs/remote-models/mistralai.mdx @@ -17,49 +17,71 @@ keywords: --- import { Callout, Steps } from 'nextra/components' +import { Settings, Plus } from 'lucide-react' -# Mistral AI API +# Mistral AI -## How to Integrate Mistral AI with Jan -This guide provides step-by-step instructions for integrating the Mistral API with Jan, enabling users to utilize Mistral's capabilities within Jan's conversational interface. +Jan supports [Mistral AI](https://mistral.ai/) API integration, allowing you to use Mistral's powerful models (Mistral Large, Mistral Medium, Mistral Small and more) through Jan's interface. -Before proceeding, ensure you have the following: -- Access to the Jan Application -- Mistral API credentials +## Integrate Mistral AI with Jan -## Integration Steps - -### Step 1: Configure Mistral API Key - -1. Obtain the Mistral API Key from your [Mistral](https://console.mistral.ai/user/api-keys/) dashboard. -2. Copy your **Mistral API Key**. -3. There are three ways to configure your API Key in Jan app: - - Navigate to the **Jan app** > **Gear Icon (⚙️)** > **My Models** tab > **Add Icon (➕)** next to **Mistral**. - - Navigate to the **Jan app** > **Thread** > **Model** tab > **Add Icon (➕)** next to **Mistral**. - - Navigate to the **Jan app** > **Gear Icon (⚙️)** > **Mistral** section under Model Providers. -4. Insert your **Mistral API Key**. +### Step 1: Get Your API Key +1. Visit [Mistral AI Platform](https://console.mistral.ai/api-keys/) and sign in +2. Create & copy a new API key or copy your existing one - - Mistral AI offers various endpoints. Refer to their [endpoint documentation](https://docs.mistral.ai/platform/endpoints/) to select the one that fits your requirements. +Ensure your API key has sufficient credits -### Step 2: Start Chatting with the Model +### Step 2: Configure Jan +There are two ways to add your Mistral AI keys in Jan: -1. Select the Mistral model you want to use. +**Through Threads:** +1. In Threads, click **Model** tab in the **right sidebar** or **model selector** in input field +2. Once the selector is poped up, choose the **Cloud** tab +3. Click **Add** () icon next to **Mistral AI** +4. Once you are directed to Mistral AI settings, insert your **API Key** - - The MistralAI is the default extension for the Jan application. All the Mistral models are automatically installed when you install the Jan application. - -2. Specify the model's parameters. -3. Start the conversation with the Mistral model. +**Through Settings:** +1. Navigate to **Settings** () +2. Under **Remote Engines**, select **Mistral AI** +3. Insert your **API Key** +
+![Mistral](../_assets/mistralai.png) +
+ +### Step 3: Start Using Mistral's Models + +1. In any existing **Threads** or create a new one +2. Select a Mistral model from **model selector** +3. Start chatting +## Available Mistral Models + +Jan automatically includes Mistral's available models. In case you want to use a specific Mistral model that you cannot find in **Jan**, follow instructions in [Manual Setup](/docs/models/manage-models#4-manual-setup) to add custom models: + - See list of available models in [Mistral AI Documentation](https://docs.mistral.ai/platform/endpoints). + - The `id` property must match the model name in the list. For example, if you want to use Mistral Large, you must set the `id` property to `mistral-large-latest` + ## Troubleshooting -If you encounter any issues during the integration process or while using Mistral with Jan, consider the following troubleshooting steps: +Common issues and solutions: -- Double-check your API credentials to ensure they are correct. -- Check for error messages or logs that may provide insight into the issue. -- Reach out to Mistral API support for assistance if needed. \ No newline at end of file +**1. API Key Issues** +- Verify your API key is correct and not expired +- Check if you have billing set up on your Mistral AI account +- Ensure you have access to the model you're trying to use + +**2. Connection Problems** +- Check your internet connection +- Verify Mistral AI's system status +- Look for error messages in [Jan's logs](/docs/troubleshooting#how-to-get-error-logs) + +**3. Model Unavailable** +- Confirm your API key has access to the model +- Check if you're using the correct model ID +- Verify your Mistral AI account has the necessary permissions + +Need more help? Join our [Discord community](https://discord.gg/FTk2MvZwJH) or check the [Mistral AI documentation](https://docs.mistral.ai/). \ No newline at end of file diff --git a/docs/src/pages/docs/remote-models/nvidia-nim.mdx b/docs/src/pages/docs/remote-models/nvidia-nim.mdx index 2fafa96cd..f2e3b0d06 100644 --- a/docs/src/pages/docs/remote-models/nvidia-nim.mdx +++ b/docs/src/pages/docs/remote-models/nvidia-nim.mdx @@ -16,45 +16,76 @@ keywords: --- import { Callout, Steps } from 'nextra/components' +import { Settings, Plus } from 'lucide-react' # NVIDIA NIM -## How to Integrate NVIDIA NIM with Jan - -This guide provides step-by-step instructions on integrating NVIDIA NIM with Jan, enabling users to leverage Nvidia NIM's capabilities within Jan's conversational interface. +Jan supports [NVIDIA NIM](https://www.nvidia.com/en-us/ai/) API integration, allowing you to use NVIDIA's Large Language Models through Jan's interface. - Nvidia NIM extension is only supported on Jan version 0.5.1 or later. +NVIDIA NIM extension is only supported on Jan version 0.5.1 or later. -Before proceeding, ensure you have the following: -- Access to the Jan application -- NVIDIA NIM API credentials +## Integrate Nvidia NIM API with Jan -## Integration Steps -### Step 1: Configure Nvidia API Key -1. Obtain Nvidia API Keys from your [Nvidia dashboard](https://org.ngc.nvidia.com/setup/personal-keys). -2. Copy your **Nvidia API Key**. -3. There are three ways to configure your API Key in Jan app: - - Navigate to the **Jan app** > **Gear Icon (⚙️)** > **My Models** tab > **Add Icon (➕)** next to **Nvidia**. - - Navigate to the **Jan app** > **Thread** > **Model** tab > **Add Icon (➕)** next to **Nvidia**. - - Navigate to the **Jan app** > **Gear Icon (⚙️)** > **NVIDIA NIM** section under Model Providers. -4. Insert your **Nvidia API Key**. +### Step 1: Get Your API Key +1. Visit [NVIDIA Docs](https://docs.nvidia.com/nim/nemo-retriever/text-reranking/latest/getting-started.html#generate-an-api-key) and generate an API key +2. Copy your API key + +Ensure your API key has sufficient credits + -### Step 2: Start Chatting with the Model +### Step 2: Configure Jan +There are two ways to add your Nvidia NIM API keys in Jan: -1. Select the model you want to use. -2. Specify the model's parameters. -3. Start the conversation with the model. +**Through Threads:** +1. In Threads, click **Model** tab in the **right sidebar** or **model selector** in input field +2. Once the selector is poped up, choose the **Cloud** tab +3. Click **Add** () icon next to **Nvidia NIM** +4. Once you are directed to Nvidia NIM settings, insert your **API Key** +**Through Settings:** +1. Navigate to **Settings** () +2. Under **Remote Engines**, select **Nvidia NIM** +3. Insert your **API Key** + +
+![NVIDIA NIM](../_assets/nvidia-nim.png) +
+ +### Step 3: Start Using Nvidia NIM Models + +1. In any existing **Threads** or create a new one +2. Select a NVIDIA NIM model from **model selector** +3. Start chatting +## Available Nvidia NIM Models + +Jan automatically includes NVIDIA NIM's available models. In case you want to use a specific model that you cannot find in **Jan**, follow instructions in [Manual Setup](/docs/models/manage-models#4-manual-setup) to add custom models: + - See list of available models in [Nvidia NIM Documentation](https://build.nvidia.com/models). + - The `id` property must match the model name in the list. + ## Troubleshooting -If you encounter any issues during the integration process or while using Nvidia with Jan, consider the following troubleshooting steps: +Common issues and solutions: -- Double-check your API credentials to ensure they are correct. -- Check for error messages or logs that may provide insight into the issue. -- Reach out to Nvidia API support for assistance if needed. \ No newline at end of file +**1. API Key Issues** +- Verify your API key is correct and not expired +- Check if you have billing set up on your NVIDIA account +- Ensure you have access to the model you're trying to use + +**2. Connection Problems** +- Check your internet connection +- Verify NVIDIA's system status +- Look for error messages in [Jan's logs](/docs/troubleshooting#how-to-get-error-logs) + +**3. Model Unavailable** +- Confirm your API key has access to the model +- Check if you're using the correct model ID +- Verify your NVIDIA account has the necessary permissions +- Make sure you're using Jan version 0.5.1 or later + +Need more help? Join our [Discord community](https://discord.gg/FTk2MvZwJH) or check the [Nvidia documentation](https://docs.nvidia.com/nim/large-language-models/latest/getting-started.html). \ No newline at end of file diff --git a/docs/src/pages/docs/remote-models/openai.mdx b/docs/src/pages/docs/remote-models/openai.mdx index cd7d0454e..502891f3d 100644 --- a/docs/src/pages/docs/remote-models/openai.mdx +++ b/docs/src/pages/docs/remote-models/openai.mdx @@ -16,57 +16,73 @@ keywords: Azure OpenAI Service, ] --- - import { Callout, Steps } from 'nextra/components' +import { Settings, Plus } from 'lucide-react' +# OpenAI +Jan supports [OpenAI](https://openai.com/) and OpenAI-compatible APIs, allowing you to use all models from OpenAI (GPT-4, GPT o1 and more) through Jan's interface. -# OpenAI API +## Integrate OpenAI API with Jan - -The OpenAI Extension can be used for any OpenAI-compatible API endpoints. - - -## How to Integrate OpenAI API with Jan -This guide provides step-by-step instructions for integrating the OpenAI API with Jan, allowing users to utilize OpenAI's capabilities within Jan's conversational interface. - -## Integration Steps -### Step 1: Configure OpenAI API Key -1. Obtain OpenAI API Key from your [OpenAI Platform](https://platform.openai.com/api-keys) dashboard. -2. Copy your **OpenAI API Key**. -3. There are three ways to configure your API Key in Jan app: - - Navigate to the **Jan app** > **Gear Icon (⚙️)** > **My Models** tab > **Add Icon (➕)** next to **OpenAI**. - - Navigate to the **Jan app** > **Thread** > **Model** tab > **Add Icon (➕)** next to **OpenAI**. - - Navigate to the **Jan app** > **Gear Icon (⚙️)** > **OpenAI** section under Model Providers. -4. Insert your **OpenAI API Key**. - -### Step 2: Start Chatting with the Model - -1. Select the OpenAI model you want to use. +### Step 1: Get Your API Key +1. Visit [OpenAI Platform](https://platform.openai.com/api-keys) and sign in +2. Create & copy a new API key or copy your existing one -The OpenAI is the default extension for the Jan application. All the OpenAI models are automatically installed when you install the Jan application. +Ensure your API key has sufficient credits -2. Specify the model's parameters. -3. Start the conversation with the OpenAI model. +### Step 2: Configure Jan +There are two ways to add your OpenAI API keys in Jan: + +Through Threads: +1. In Threads, click Model tab in the right sidebar or model selector in input field +2. Once the selector is poped up, choose the Cloud tab +3. Click Add () icon next to OpenAI +4. Once you are directed to OpenAI settings, insert your API Key + +Through Settings: +1. Navigate to Settings () +2. Under Remote Engines, select OpenAI +3. Insert your API Key + +
+![OpenAI](../_assets/openai.png) +
+ +### Step 3: Start Using OpenAI's Models + +In any existing Threads or create a new one +Select an OpenAI model from model selector +Start chatting + -### OpenAI Models +## Available OpenAI Models -You can also use specific OpenAI models you cannot find in the **Hub** section by customizing the `model.yaml` file, which you can see in the `~/jan/data/models/`. Follow the steps in the [Manage Models](/docs/models/manage-models) to manually add a model. - - -- You can find the list of available models in the [OpenAI Platform](https://platform.openai.com/docs/models/overview). -- The `id` property must match the model name in the list. - - For example, if you want to use the [GPT-4 Turbo](https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo), you must set the `id` property to `gpt-4-1106-preview`. - +Jan automatically includes popular OpenAI models. In case you want to use a specific OpenAI model that you cannot find in Jan, follow instructions in [Manual Setup](/docs/models/manage-models#4-manual-setup) to add custom models: + - See list of available models in [OpenAI Platform](https://platform.openai.com/docs/models/overview). + - The id property must match the model name in the list. For example, if you want to use the [GPT-4 Turbo](https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo), you must set the id property to gpt-4-1106-preview. ## Troubleshooting -If you encounter any issues during the integration process or while using OpenAI with Jan, consider the following troubleshooting steps: +Common issues and solutions: -- Double-check your API credentials to ensure they are correct. -- Check for error messages or logs that may provide insight into the issue. -- Reach out to OpenAI API support for assistance if needed. \ No newline at end of file +1. API Key Issues +- Verify your API key is correct and not expired +- Check if you have billing set up on your OpenAI account +- Ensure you have access to the model you're trying to use + +2. Connection Problems +- Check your internet connection +- Verify OpenAI's [system status](https://status.openai.com) +- Look for error messages in [Jan's logs](/docs/troubleshooting#how-to-get-error-logs) + +3. Model Unavailable +- Confirm your API key has access to the model +- Check if you're using the correct model ID +- Verify your OpenAI account has the necessary permissions + +Need more help? Join our [Discord community](https://discord.gg/FTk2MvZwJH) or check the [OpenAI documentation](https://platform.openai.com/docs). \ No newline at end of file diff --git a/docs/src/pages/docs/remote-models/openrouter.mdx b/docs/src/pages/docs/remote-models/openrouter.mdx index 8efcd932a..a32de2423 100644 --- a/docs/src/pages/docs/remote-models/openrouter.mdx +++ b/docs/src/pages/docs/remote-models/openrouter.mdx @@ -18,38 +18,83 @@ keywords: --- import { Callout, Steps } from 'nextra/components' +import { Settings, Plus } from 'lucide-react' # OpenRouter ## Integrate OpenRouter with Jan -[OpenRouter](https://openrouter.ai/docs#quick-start) is a tool that gathers AI models. Developers can utilize its API to engage with diverse large language models, generative image models, and generative 3D object models. +[OpenRouter](https://openrouter.ai/) is a tool that gathers AI models. Developers can utilize its API to engage with diverse large language models, generative image models, and generative 3D object models with a competitive pricing. -To connect Jan with OpenRouter for accessing remote Large Language Models (LLMs) through OpenRouter, you can follow the steps below: +Jan supports OpenRouter API integration, allowing you to use models from various providers (Anthropic, Google, Meta and more) through a single API. + +## Integrate OpenRouter with Jan -### Step 1: Configure OpenRouter API Key +### Step 1: Get Your API Key +1. Visit [OpenRouter](https://openrouter.ai/keys) and sign in +2. Create & copy a new API key or copy your existing one -1. Find your API Key in the [OpenRouter API Key](https://openrouter.ai/keys). -2. Copy your **OpenRouter API Key**. -3. There are three ways to configure your API Key in Jan app: - - Navigate to the **Jan app** > **Gear Icon (⚙️)** > **My Models** tab > **Add Icon (➕)** next to **OpenRouter**. - - Navigate to the **Jan app** > **Thread** > **Model** tab > **Add Icon (➕)** next to **OpenRouter**. - - Navigate to the **Jan app** > **Gear Icon (⚙️)** > **OpenRouter** section under Model Providers. -4. Insert your **OpenRouter API Key**. -5. For **OpenRouter**, specify the model you want to use, or the system will default to the preset model linked to your **OpenRouter API Key**. + +Ensure your API key has sufficient credits. OpenRouter credits work across all available models. + -### Step 2: Start Chatting with the Model +### Step 2: Configure Jan +There are two ways to add your OpenRouter key in Jan: -1. Select the OpenRouter model you want to use. -2. Specify the model's parameters. -3. Start the conversation with the OpenRouter model. +**Through Threads:** +1. In Threads, click **Model** tab in the **right sidebar** or **model selector** in input field +2. Once the selector is poped up, choose the **Cloud** tab +3. Click **Add** () icon next to **OpenRouter** +4. Once you are directed to OpenRouter settings, insert your **API Key** + +**Through Settings:** +1. Navigate to **Settings** () +2. Under **Remote Engines**, select **OpenRouter** +3. Insert your **API Key** + +
+![OpenRouter](../_assets/openrouter.png) +
+ +### Step 3: Start Using OpenRouter Models + +1. In any existing **Threads** or create a new one +2. Select any model from **model selector** under OpenRouter +3. Start chatting +## Available Models Through OpenRouter + +Jan automatically use your default OpenRouter's available models. For custom configurations: + +**Model Field Settings:** +- Leave empty to use your account's default model +- Specify a model using the format: `organization/model-name` +- Available options can be found in [OpenRouter's Model Reference](https://openrouter.ai/models) + +**Examples of Model IDs:** +- Claude 3 Opus: `anthropic/claude-3-opus-20240229` +- Google Gemini Pro: `google/gemini-pro` +- Mistral Large: `mistralai/mistral-large` + ## Troubleshooting -If you encounter any issues during the integration process or while using OpenAI with Jan, consider the following troubleshooting steps: +Common issues and solutions: -- Double-check your API credentials to ensure they are correct. -- Check for error messages or logs that may provide insight into the issue. -- Reach out to OpenRouter API support for assistance if needed. \ No newline at end of file +**1. API Key Issues** +- Verify your API key is correct and not expired +- Check if you have sufficient credits in your OpenRouter account +- Ensure you have access to the model you're trying to use + +**2. Connection Problems** +- Check your internet connection +- Verify OpenRouter's [system status](https://status.openrouter.ai) +- Look for error messages in [Jan's logs](/docs/troubleshooting#how-to-get-error-logs) + +**3. Model Unavailable** +- Confirm the model is currently available on OpenRouter +- Check if you're using the correct model ID format +- Verify the model provider is currently operational + +Need more help? Join our [Discord community](https://discord.gg/FTk2MvZwJH) or check the [OpenRouter documentation](https://openrouter.ai/docs). \ No newline at end of file diff --git a/docs/src/pages/docs/settings.mdx b/docs/src/pages/docs/settings.mdx index 80fbb610d..9b5f3fe4d 100644 --- a/docs/src/pages/docs/settings.mdx +++ b/docs/src/pages/docs/settings.mdx @@ -21,211 +21,331 @@ keywords: --- import { Tabs, Steps, Callout } from 'nextra/components' +import { Settings, EllipsisVertical, Plus, FolderOpen, Pencil } from 'lucide-react' + # Settings -This guide will show you how to customize your Jan application settings and advanced settings. +This guide explains how to customize your Jan application settings. +To access **Settings**, click icon in the bottom left corner of Jan. -## Settings File -Settings for the Jan application are stored in a `cortex.db` file located at `~jan/`, ensuring they persist across sessions. This file contains all user preferences and configurations. -## Customize the UI -My Settings is where you can customize the color of Jan's desktop app UI. Here's how to personalize the color scheme of Jan's desktop app UI: -1. Navigate to the main dashboard. -2. Click the **Gear Icon (⚙️)** on the bottom left of your screen. -
-![Settings](./_assets/settings.png) -
-3. Select the **Appearance** section. -
-![Settings](./_assets/appearance.png) -
-4. Pick the **Appearance Scheme** for your Jan desktop app. Options include: - - Joi Light - - Joi Dark - - Dark Dimmed - - Night Blue -
-![Settings](./_assets/scheme.png) -
-5. Choose the **Interface theme** for your Jan desktop app. Options include: - - Solid - - Transparent -
-![Settings](./_assets/theme.png) +## My models + +Here's at **Settings** () > **My Models** you can manage all your installed AI models: + +### Manage Downloaded Models + +**1. Import Models:** You can import model here as how you can do in **Hub** + - Option 1: Import from [Hugging Face](/docs/models/manage-models#option-a-import-in-jan) by entering model Hugging Face URL in **Search** bar + - Option 2: [Import local files](/docs/models/manage-models#option-a-import-in-jan) -## Access the Spell Check -1. Navigate to the main dashboard. -2. Click the **Gear Icon (⚙️)** on the bottom left of your screen.
-![Settings](./_assets/settings.png) -
-3. Select the **Appearance** section. -4. Click the **Spell Check** slider to enable it. -
-![Spell](./_assets/spell.png) +![Import from HF](./_assets/model-management-04.png)
-## Access Advanced Settings -Advanced Settings is the GUI version of the `settings.json`. To access Jan's advanced settings, follow the steps below: + +**2. Remove Models**: Use the same instructions in [Delete Local Models](/docs/models/manage-models#delete-models) + +
+![Remove Model](./_assets/model-management-05.png) +
+ + +**3. Start Models** +1. Choose the model you want to start +2. Click **three dots** icon next to the model +3. Select **Start Model** + +
+![Start Model](./_assets/settings-02.png) +
+ + +### Manage Cloud Models + +1. To install cloud models, click the **Add** () icon next your preferred providers (e.g., Anthropic, OpenAI, Groq), and add **API Key** to use. See [detailed instructions](/docs/remote-models/openai) for each provider. +2. Once a provider is installed, you can use its models & manage its settings by clicking on the **Settings** () icon next to it. + +
+![Manage Cloud Provider](./_assets/settings-03.png) +
+ +## Preferences + +At **Settings** () > **Preferences**, you can customize how Jan looks. + +### Appearance & Theme +Control the visual theme of Jan's interface. +- **Joi Light:** Clean, bright theme for daytime use +- **Joi Dark:** Dark theme with high contrast +- **Dark Dimmed:** Softer dark theme to reduce eye strain +- **Night Blue:** Dark theme with blue accents + +To change: +1. Choose your preferred **Appearance** from the dropdown +2. With **Joi Dark** & **Joi Light**, you can choose additional options: + - **Solid:** Traditional opaque background + - **Translucent:** Semi-transparent interface +3. Changes apply immediately + +
+![Appearance](./_assets/settings-04.png) +
+ +### Chat Width +Adjust how chat content is displayed. +1. In **Chat Width** section, select either +- **Full Width:** Maximizes the chat area to use the full width of the window. This is ideal for viewing longer messages or when working with code snippets that benefit from more horizontal space. +- **Compact Width:** Creates a more focused chat experience with a narrower conversation view. This setting is useful for reading conversations more comfortably, especially on larger screens. +2. Changes apply immediately to your conversation view + +
+![Chat Width](./_assets/settings-05.png) +
+ + +### Spell Check +Jan includes a built-in spell check feature to help catch typing errors in your messages. +1. Switch the toggle on to enable spell checking, or off to disable it +2. Changes apply immediately for all new messages you type + +
+![Spell Check](./_assets/settings-06.png) +
+ +## Keyboard Shortcuts +At **Settings** () > **Keyboard shortcuts**, you can see Jan's shortcuts list: + +**1. Thread Management** +- `⌘ N` - Create a new thread +- `⌘ Shift Backspace` - Delete current active thread +- `⌘ Shift C` - Clean current active thread + +**2. Navigation** +- `⌘ B` - Toggle left panel +- `⌘ Shift B` - Toggle right panel +- `⌘ ,` - Navigate to settings + +**3. Message Input** +- `Enter` - Send a message (in input field) +- `Shift Enter` - Insert a new line (in input field) + +> Note: On **Windows** and **Linux**, use `Ctrl` (Control) instead of `⌘` (Command) + +## Hardware +At **Settings** () > **Hardware**, you can monitor and manage your system resources when running local models. + +### CPU & RAM + -Whenever you make changes in the Jan application's Settings screen, they are automatically saved to the `settings.json` file. This ensures your customizations are kept and applied every time the application starts. +See detailed minimum system requirements to run local models on [Mac](/docs/desktop/mac#compatibility), [Windows](/docs/desktop/windows#compatibility) & [Linux](/docs/desktop/linux#compatibility). -1. Navigate to the main dashboard. -2. Click the **Gear Icon (⚙️)** on the bottom left of your screen. +- **CPU:** important for model processing speed. With CPU only, 20-90% usage during model running is normal. + +- **RAM:** + - Different models require different amounts of RAM. + - When running local models, please keep at least **4GB free**. + - If usage is near max, try closing other applications or use smaller models. + + +### GPU Acceleration + + +Ensure you have installed all required dependencies and drivers before enabling GPU acceleration. See **GPU Setup Guide** on [Windows](/docs/desktop/windows#gpu-acceleration) & [Linux](/docs/desktop/linux#gpu-acceleration) for detailed instructions. + + +Turn on GPU acceleration to improve performance: +1. Select and **enable** your prefered GPU(s) +2. App reload is required after the selection +
-![Settings](./_assets/settings.png) +![Hardware](./_assets/trouble-shooting-01.png)
-3. Click the **Advanced Settings**. + +**GPU Performance Optimization** +- Monitor VRAM usage - should not exceed 90%. Higher **VRAM** capacity typically enables better performance for larger language models. +- Adjust `ngl` ([number of GPU Layers](/docs/models/model-parameters#engine-parameters)) in **Model** settings: + - Higher NGL = more VRAM used with faster performance + - Lower NGL = Less VRAM used with slower performance + - Start with 35 layers for 8GB VRAM. Increase if you have more VRAM available & decrease if you see **out-of-memory** errors. + + + +## Privacy +At **Settings** () > **Privacy**, you can control analytics & logs in Jan: + +### Analytics +Jan is built with privacy at its core. By default, no data is collected. Everything stays local on your device. +You can help improve Jan by sharing anonymous usage data: +1. Toggle on **Analytics** to share anonymous data +2. You can change this setting at any time + + +Read more about that we collect with opt-in users at [Privacy](/docs/privacy). + +
-![Settings](./_assets/advance-settings2.png) +![Analytics](./_assets/settings-07.png)
-4. You can configure the following settings: -| Feature | Description | -| ---------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | -| **Experimental Mode** | Enables experimental features that may be unstable. | -| **GPU Acceleration** | Enables boosting your model performance by using your GPU devices for acceleration. | -| **HTTPS Proxy** | Use a proxy server for internet connections. Please check out the guide on setting up your HTTPS proxy server [here](settings#https-proxy). | -| **Ignore SSL Certificates** | Enables the self-signed or unverified certificates. | -| **Migrate Data From Old Version Of Jan App** | Facilitates the transfer of your data from a previous version of the Jan App to the latest version. This feature helps you retain your settings, preferences, and stored information during the upgrade process. | +### Log Management +**1. View Logs** +- Logs are stored at: + - App log: `~/Library/Application\ Support/jan/data/logs/app.log` + - Cortex log: `~/Library/Application\ Support/jan/data/logs/cortex.log` +- To open logs from Jan's interface: at **Logs**, click icon to open App Logs & Cortex Logs: -## Enable the Experimental Mode - -To try out new features that are still in the testing phase, follow the steps below: - -1. Navigate to the **Advanced Settings**. -2. On the **Experimental Mode**, click the slider to enable.
-![Experimental](./_assets/exp-mode.png) +![View Logs](./_assets/settings-08.png) +
-## Enable the GPU Acceleration +**2. Clear Logs** -To enhance your model performance, follow the steps below: +Jan retains your logs for only **24 hours**. To remove all logs from Jan, at **Clear Logs**, click the **Clear** button: - Ensure you have read the [troubleshooting - guide](/docs/troubleshooting#troubleshooting-nvidia-gpu) here for further - assistance. +This action cannot be undone. -1. Navigate to the **Advanced Settings**. -2. On the **GPU Acceleration**, click the slider to enable.
-![Enable GPU](./_assets/gpu-accel.png) +![Clear Logs](./_assets/settings-09.png) +
-## Enable the Vulkan Support + +## Advanced Settings +At **Settings** () > **Advanced Settings**, Jan stores settings for advanced use cases. +### Experimental Mode - This feature is still in experimental phase. +Experimental features are unstable and are recommended only for testing purposes. Please turn on with caution! -To enable the Vulkan support for AMD or Intel ARC GPU, follow the steps below: +Current experimental features: -1. Enable the **Experimental Mode**. -2. Navigate to the **Advanced Settings**. -3. On the **Vulkan Support**, click the slider to enable. +| Feature | Description | +|---------|-------------| +| [Tools](/docs/tools/retrieval) | Advanced tooling capabilities including web search, file operations, and code interpretation | +| Vulkan Settings | GPU acceleration using Vulkan API for improved model performance | +| [Jan Quick Ask](/docs/settings#jan-quick-ask) | Streamlined interface for rapid AI queries and responses | + + +To try out these beta features, turn on **Experimental Mode** setting:
-![Vulkan](./_assets/vulkan.png) +![Experimental Mode](./_assets/settings-10.png)
-4. Restart the Jan app. -## Enable the Preserve Model Settings - - This feature is still in experimental phase. - -To enable the preserve model settings to be applied to the new thread, follow the steps below: +### Jan Data Folder +Jan stores your data locally in your own filesystem in a universal file format. See detailed [Jan Folder Structure](docs/data-folder#folder-structure). -1. Enable the **Experimental Mode**. -2. Navigate to the **Advanced Settings**. -3. On the **Preserve Model Settings**, click the slider to enable. +**1. Open Jan Data Folder** + +At **Jan Data Folder**, click icon to open Jan application's folder:
-![Preserve](./_assets/preserve.png) - - -## Access the Jan Data Folder - -To access the folder where messages, model configurations, and user data are stored, follow the steps below: - -1. Navigate to the **Advanced Settings**. +![Open Jan Data Folder](./_assets/settings-11.png)
-![Settings](./_assets/advance-set.png) -
-2. On the **Jan Data Folder** click the **folder icon (📂)** to access the data or the **pencil icon (✏️)** to change the folder where you keep your data. -
-![Jan Data Folder](./_assets/data-folder.png) -
-3. You can also access the Jan Data Folder by clicking **System Monitor** > **App Log**. - -- Uninstalling Jan in Windows and Linux will delete the default Jan Data Folder. - +**2. Edit Jan Data Folder** -## HTTPS Proxy +1. At **Jan Data Folder**, click icon to edit Jan application's folder +2. Choose a new directory & click **Select**, make sure the new folder is empty +3. Confirmation pop-up shows up: +> Are you sure you want to relocate Jan Data Folder to `new directory`? +Jan Data Folder will be duplicated into the new location while the original folder remains intact. +An app restart will be required afterward. + +4. Click **Yes, Proceed** + +
+![Edit Jan Data Folder](./_assets/settings-12.png) +
+ +### HTTPs Proxy HTTPS Proxy encrypts data between your browser and the internet, making it hard for outsiders to intercept or read. It also helps you maintain your privacy and security while bypassing regional restrictions on the internet. - - - When configuring Jan using an HTTPS proxy, the speed of the downloading model may be affected by the encryption and decryption process. It also depends on the cloud service provider's networking. - - HTTPS Proxy does not affect the remote model usage. + +- Model download speeds may be affected due to the encryption/decryption process and your cloud service provider's networking +- HTTPS Proxy does not affect the remote model usage. -Once you set up your HTTPS proxy server, follow the steps below: +1. **Enable** the proxy toggle +2. Enter your proxy server details in the following format: +``` +http://:@: +``` +Where: +- ``: Your proxy username (if authentication is required) +- ``: Your proxy password (if authentication is required) +- ``: Your proxy server's domain name or IP address +- ``: The port number for the proxy server -1. Navigate to **Settings** > **Advanced Settings**. -2. On the **HTTPS Proxy**, click the slider to enable. -3. Input your domain in the blank field.
-![HTTPS Proxy](./_assets/http.png) - - -## Ignore SSL Certificate - -To Allow self-signed or unverified certificates, follow the steps below: - -1. Navigate to the **Advanced Settings**. -2. On the **Ignore SSL Certificates**, click the slider to enable. +![HTTPs Proxy](./_assets/settings-13.png)
-![Ignore SSL](./_assets/ssl.png) -## Enable the Jan Quick Ask +**Ignore SSL Certificates** + +This setting allows Jan to accept self-signed or unverified SSL certificates. This may be necessary when: +- Working with corporate proxies using internal certificates +- Testing in development environments +- Connecting through specialized network security setups + + +Only enable this option if you trust your network environment. + + +
+![Ignore SSL Certificates](./_assets/settings-14.png) +
+ +### Jan Quick Ask +Jan Quick Ask provides a faster way to interact with Jan without opening the full application window. It's designed for quick queries and responses when you need immediate assistance. - This feature is still in experimental phase. + This feature is currently experimental and must be enabled through [Experimental Mode](/docs/settings#experimental-mode) in **Advanced Settings**. -To enable the Jan quick ask mode, follow the steps below: -1. Enable the **Experimental Mode**. -2. Navigate to the **Advanced Settings**. -3. On the **Quick Ask**, click the slider to enable. +1. Once you've turned on [Experimental Mode](/docs/settings#experimental-mode), toggle on **Jan Quick Ask** +2. App restart is required upon selection +
-![Quick Ask](./_assets/quick-ask.png) +![Jan Quick Ask](./_assets/settings-15.png)
-4. Restart the Jan app. -## Clear Logs +3. Once enabled, you can open **Quick Ask** overlay with default shortcut: `CMD/Ctr` + `J` -To clear all logs on your Jan app, follow the steps below: +
+![Jan Quick Ask](./_assets/settings-16.png) +
+ +### Factory Reset +Reset to Factory Settings restores Jan to its initial state by erasing all user data, including downloaded models and chat history. This action is irreversible and should only be used as a last resort when experiencing serious application issues. - This feature clears all the data in your **Jan Data Folder**. +This action cannot be undone. All data will be permanently deleted. -1. Navigate to the **Advanced Settings**. -2. On the **Clear Logs** click the the **Clear** button. +Only use factory reset if: +- The application is corrupted +- You're experiencing persistent technical issues that other solutions haven't fixed +- You want to completely start fresh with a clean installation + +To begin the process: +1. At **Reset to Factory Settings**, click **Reset** button
-![Clear Logs](./_assets/clear-logs.png) - -## Reset To Factory Default - -To reset the Jan app to its original state, follow the steps below: - - - This irreversible action is only recommended if the application is corrupted. - - - -1. Navigate to the **Advanced Settings**. -2. On the **Reset To Factory Default** click the the **Reset** button. +![Jan Quick Ask](./_assets/settings-17.png) +
+2. In the confirmation dialog: +- Type the word **RESET** to confirm +- Optionally check **Keep the current app data location** to maintain the same data folder +- Click **Reset Now** +3. App restart is required upon confirmation +
+![Jan Quick Ask](./_assets/settings-18.png)
-![Reset](./_assets/reset-jan.png) + + + + + diff --git a/docs/src/pages/docs/shortcuts.mdx b/docs/src/pages/docs/shortcuts.mdx deleted file mode 100644 index 3905a6f8c..000000000 --- a/docs/src/pages/docs/shortcuts.mdx +++ /dev/null @@ -1,83 +0,0 @@ ---- -title: Keyboard Shortcuts -description: Lists all the available keyboard shortcuts for Windows, Mac, and Linux. -keywords: - [ - Jan, - Customizable Intelligence, LLM, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - Advanced Settings, - HTTPS Proxy, - SSL, - settings, - Jan settings, - ] ---- - -import { Tabs, Steps, Callout } from 'nextra/components' - -## Keyboard Shortcuts -To find the list of all the available shortcuts within Jan app, please follow the steps below: -1. Navigate to the main dashboard. -2. Click the **Gear Icon (⚙️)** on the bottom left of your screen. -
-![Settings](./_assets/settings.png) -
-3. Click the **Hotkey & Shortcut**. -
-![Keyboard Shortcut](./_assets/shortcut.png) -
- -Here are some of the keyboard shortcuts that you can use in Jan. - - - - | Combination | Description | - | --------------- | -------------------------------------------------- | - | `⌘ N` | Create a new thread. | - | `⌘ B` | Toggle collapsible left panel. | - | `⌘ Shift B` | Toggle collapsible right panel. | - | `⌘ ,` | Navigate to the setting page. | - | `Enter` | Send a message. | - | `Shift + Enter` | Insert new line in input box. | - | `Arrow Up` | Navigate to the previous option (within the search dialog). | - | `Arrow Down` | Navigate to the next option (within the search dialog). | - - - - - | Combination | Description | - | --------------- | ---------------------------------------------------------- | - | `Ctrl N` | Create a new thread. | - | `Ctrl B` | Toggle collapsible left panel. | - | `Ctrl Shift B` | Toggle collapsible right panel. | - | `Ctrl ,` | Navigate to the setting page. | - | `Enter` | Send a message. | - | `Shift + Enter` | Insert new line in input box. | - | `Arrow Up` | Navigate to the previous option (within the search dialog). | - | `Arrow Down` | Navigate to the next option (within the search dialog). | - - - - - | Combination | Description | - | --------------- | ---------------------------------------------------------- | - | `Ctrl N` | Create a new thread. | - | `Ctrl B` | Toggle collapsible left panel. | - | `Ctrl Shift B` | Toggle collapsible right panel. | - | `Ctrl ,` | Navigate to the setting page. | - | `Enter` | Send a message. | - | `Shift + Enter` | Insert new line in input box. | - | `Arrow Up` | Navigate to the previous option (within the search dialog). | - | `Arrow Down` | Navigate to the next option (within the search dialog). | - - - - - diff --git a/docs/src/pages/docs/threads.mdx b/docs/src/pages/docs/threads.mdx index 9fea52d66..bc889e49a 100644 --- a/docs/src/pages/docs/threads.mdx +++ b/docs/src/pages/docs/threads.mdx @@ -19,55 +19,75 @@ keywords: --- import { Callout } from 'nextra/components' +import { SquarePen, Pencil, Ellipsis, Paintbrush, Trash2 } from 'lucide-react' + # Using Threads -Jan provides a straightforward and private solution for managing your threads with AI on your device. As you interact with AI using Jan, you'll accumulate a history of threads. -Jan offers easy tools to organize, delete, or review your past threads with AI. This guide will show you how to keep your threads private and well-organized. +Jan organizes your AI conversations into threads, making it easy to track and revisit your interactions. This guide will help you effectively manage your chat history. -## View Thread History +## Creating New Thread +1. Click **New Thread** () icon at the left of Jan top navigation +2. Select your preferred model in **Model Selector** in input field & start chatting -To view your thread history, follow the steps below: - -1. Navigate to the main dashboard. -2. Locate the list of threads screen on the left side. -3. To view a specific thread, choose the one you're interested in and then scroll up or down to explore the entire conversation.
-![History](./_assets/history.png) +![Create New Thread](./_assets/threads-02.png) -## Change the Thread's Title -To change a thread's title, follow the steps below: +## View Threads History + +1. Once you open Jan, the default screen is **Threads** +2. On the **left sidebar**, you can: +- View **Thread List**, scroll through your threads history +- Click any thread to open the full conversation -1. Navigate to the Thread that you want to edit. -2. Hover to a thread and click on the **three dots (⋮)** in the Thread section. -3. Select the **Edit Title** button.
-![Clean Thread](./_assets/title.png) +![View Threads](./_assets/threads-01.png) -## Clean Threads History -To clean all the messages from a thread, follow the steps below: -1. Navigate to the Thread that you want to clean. -2. Hover to a thread and click on the **three dots (⋮)** in the Thread section. -3. Select the **Clean Thread** button. +## Edit Thread Title +1. Navigate to the **Thread** that you want to edit title in left sidebar +2. Hover on the thread and click on **three dots** () icon +3. Select **Edit Title** +4. Add new title & save +
-![Clean Thread](./_assets/clean.png) +![Edit Thread](./_assets/threads-03.png) + +## Clean Thread + +To remove all messages while keeping the thread & its settings: + +1. Navigate to the **Thread** that you want to clean in left sidebar +2. Hover on the thread and click on **three dots** () icon +3. Select **Clean Thread** - This will delete all messages in the thread while keeping the thread settings. +This will delete all messages in the thread while preserving thread settings -### Delete Threads History - -To delete a thread, follow the steps below: - -1. Navigate to the Thread that you want to delete. -2. Hover to a thread and click on the **three dots (⋮)** in the Thread section. -3. Select the **Delete Thread** button.
-![Delete Thread](./_assets/delete-threads.png) +![Clean Thread](./_assets/threads-04.png) - - This will delete all messages and the thread settings. + +## Delete Thread + +There's no undo for thread deletion, so make sure you want to remove the thread permanently. +### Delete a specific thread +When you want to completely remove a thread: + +1. Navigate to the **Thread** that you want to delete in left sidebar +2. Hover on the thread and click on **three dots** () icon +3. Select **Delete Thread** + + +
+![Delete Thread](./_assets/threads-05.png) + +### Delete all threads at once + +In case you need to remove all threads at once, you'll need to manually delete the `threads` folder: +1. Open [Jan Data Folder](docs/settings#access-the-jan-data-folder) +2. Delete the `threads` folder +3. Restart Jan \ No newline at end of file diff --git a/docs/src/pages/docs/tools/retrieval.mdx b/docs/src/pages/docs/tools/retrieval.mdx index c0276d8ec..50e589386 100644 --- a/docs/src/pages/docs/tools/retrieval.mdx +++ b/docs/src/pages/docs/tools/retrieval.mdx @@ -22,25 +22,35 @@ keywords: import { Callout, Steps } from 'nextra/components' # Knowledge Retrieval -This article lists the capabilities of the Jan platform and guides you through using RAG to chat with PDF documents. +Chat with your documents and images using Jan's RAG (Retrieval-Augmented Generation) capability. + -To access this feature, please enable Experimental mode in the [Advanced Settings](/guides/advanced/#enable-the-experimental-mode). + This feature is currently experimental and must be enabled through [Experimental Mode](/docs/settings#experimental-mode) in **Advanced Settings**. -## Enable the Knowledge Retrieval +## Enable File Search & Vision -To chat with PDFs using RAG in Jan, follow these steps: +To chat with PDFs & images in Jan, follow these steps: + +1. In any **Thread**, click the **Tools** tab in right sidebar +2. Enable **Retrieval** -1. Create a **new thread**. -2. Click the **Tools** tab.
-![Retrieval](../_assets/tools.png) +![Retrieval](../_assets/retrieval-01.png)
-3. Enable the **Retrieval**. + +3. Once enabled, you should be able to **upload file(s) & image(s)** from threads input field + +Ensure that you are using a multimodal model. +- File Search: Jan currently supports PDF format +- Vision: only works with local models or [OpenAI](/docs/remote-models/openai) models for now + +
-![Retrieval](../_assets/retrieval1.png) +![Retrieval](../_assets/retrieval-02.png)
-4. Adjust the **Retrieval** settings as needed. These settings include the following: + +## Knowledge Retrieval Parameters | Feature | Description | |-----------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------| @@ -51,11 +61,4 @@ To chat with PDFs using RAG in Jan, follow these steps: | **Chunk Size** | - Sets the maximum number of tokens per data chunk, which is crucial for managing processing load and maintaining performance.

- Increase the chunk size for processing large blocks of text efficiently, or decrease it when dealing with smaller, more manageable texts to optimize memory usage. | | **Chunk Overlap** | - Specifies the overlap in tokens between adjacent chunks to ensure continuous context in split text segments.

- Adjust the overlap to ensure smooth transitions in text analysis, with higher overlap for complex texts where context is critical. | | **Retrieval Template**| - Defines the query structure using variables like `{CONTEXT}` and `{QUESTION}` to tailor searches to specific needs.

- Customize templates to closely align with your data's structure and the queries' nature, ensuring that retrievals are as relevant as possible. | -5. Select the model you want to use. - -To upload an image or GIF, ensure that you are using a multimodal model. If not, you are limited to uploading documents only. - -6. Click on the 📎 icon in the chat input field. -7. Select **Document** to upload a document file. -
-![Retrieval](../_assets/retrieval2.png) + diff --git a/docs/src/pages/docs/troubleshooting.mdx b/docs/src/pages/docs/troubleshooting.mdx index 88cc39cbc..f2fdf3ea8 100644 --- a/docs/src/pages/docs/troubleshooting.mdx +++ b/docs/src/pages/docs/troubleshooting.mdx @@ -23,29 +23,51 @@ keywords: --- import { Tabs } from 'nextra/components' -import { Callout } from 'nextra/components' +import { Callout, Steps } from 'nextra/components' + # Troubleshooting +## How to Get Error Logs + +Error logs are essential for troubleshooting issues and getting help from Jan team. To get error logs from Jan, follow the steps below: + +#### Through Jan Interface + +1. Open **System Monitor** in the footer +2. Choose **App Log** + +
+![App log](./_assets/trouble-shooting-02.png) +
+ +#### Through Terminal +**Application Logs** +```bash +tail -n 50 ~/Library/Application\ Support/jan/data/logs/app.log +``` +**Server Logs** +```bash +tail -n 50 ~/Library/Application\ Support/jan/data/logs/cortex.log +``` + + +Ensure to redact any private or sensitive information when sharing logs or error details. We retain your logs for only 24 hours. + + + ## Broken Build -To resolve the issue where your Jan is stuck in a broken build after installation. +To resolve the issue where Jan is stuck in a broken build after installation: - 1. Uninstall Jan. + 1. **Uninstall** Jan - 2. Delete Application Data, Cache, and User Data: + 2. **Delete** Application Data, Cache, and User Data: ```zsh - # Step 1: Delete the application data - rm -rf ~/Library/Application\ Support/jan/data - - # Step 2: Clear application cache - rm -rf ~/Library/Application\ Support/Jan/cache - - # Step 3: Remove all user data - rm -rf ~/jan + rm -rf ~/Library/Application\ Support/Jan ``` 3. If you are using a version before `0.4.2`, you need to run the following commands: @@ -56,16 +78,15 @@ To resolve the issue where your Jan is stuck in a broken build after installatio kill -9 ``` - 4. Download the latest version of Jan from our [homepage](https://jan.ai/). + 4. **Download** the [latest version of Jan](/download) - 1. Uninstall Jan on Windows, by using the [Windows Control Panel](https://support.microsoft.com/en-us/windows/uninstall-or-remove-apps-and-programs-in-windows-4b55f974-2cc6-2d2b-d092-5905080eaf98). + 1. **Uninstall** Jan, using the [Windows Control Panel](https://support.microsoft.com/en-us/windows/uninstall-or-remove-apps-and-programs-in-windows-4b55f974-2cc6-2d2b-d092-5905080eaf98) - 2. Delete Application Data, Cache, and User Data: + 2. **Delete** Application Data, Cache, and User Data: ```bash - # You can delete the `/Jan` directory in Windows's AppData Directory by visiting the following path `%APPDATA%\Jan` cd C:\Users\%USERNAME%\AppData\Roaming rmdir /S jan ``` @@ -79,51 +100,27 @@ To resolve the issue where your Jan is stuck in a broken build after installatio taskkill /F /PID ``` - 4. Download the latest version of Jan from our [homepage](https://jan.ai/). + 4. **Download** the [latest version of Jan](/download) - 1. Uninstall Jan - - - - To uninstall Jan, use your package manager's uninstall or remove option. - - This will return your system to its state before installation in Jan. - - This method can also reset all settings if you are experiencing any issues with Jan. - - - - - To uninstall Jan, run the following command.MDXContent - - ```bash - sudo apt-get remove jan - # where Jan is the name of Jan's package - ``` - - This will return your system to its state before installation in Jan. - - This method can also reset all settings if you are experiencing any issues with Jan. - - - - - You can uninstall Jan by deleting the `.AppImage` file. - - If you wish to remove all user data associated with Jan after uninstallation, you can delete the user data at `~/jan`. - - This method can also reset all settings if you are experiencing any issues with Jan. - - - + 1. **Uninstall** Jan + + Choose the appropriate method based on how you installed Jan: + + **For Debian/Ubuntu:** + ``` + sudo apt-get remove Jan + ``` + **For Others:** Delete the Jan `.AppImage` file from your system 2. Delete Application Data, Cache, and User Data: ```bash - # You can delete the user data folders located at the following `~/jan` - rm -rf ~/jan + # Default dir + ~/.config/Jan + # Custom installation directory + $XDG_CONFIG_HOME = /home/username/custom_config/Jan ``` 3. If you are using a version before `0.4.2`, you need to run the following commands: @@ -134,7 +131,7 @@ To resolve the issue where your Jan is stuck in a broken build after installatio kill -9 ``` - 4. Download the latest version of Jan from our [homepage](https://jan.ai/). + 4. **Download** the [latest version of Jan](/download) @@ -146,88 +143,81 @@ Following these steps, you can cleanly uninstall and reinstall Jan, ensuring a s ## Troubleshooting NVIDIA GPU +To resolve issues when Jan does not utilize the NVIDIA GPU on Windows and Linux systems. -To resolve issues when the Jan app does not utilize the NVIDIA GPU on Windows and Linux systems. + -#### 1. Ensure GPU Mode Requirements +### Step 1: Verify Hardware and System Requirements - - - - ##### NVIDIA Driver +#### 1.1. Check GPU Detection +First, verify that your system recognizes the NVIDIA GPU: +**Windows:** +- Right-click desktop → NVIDIA Control Panel +- Or check Device Manager → Display Adapters +**Linux:** +``` +lspci | grep -i nvidia +``` +#### 1.2. Install Required components +**NVIDIA Driver:** +1. Install [NVIDIA Driver](https://www.nvidia.com/en-us/drivers/) for your GPU (NVIDIA driver **470.63.01 or higher**). +2. Verify installation: - - Install an [NVIDIA Driver](https://www.nvidia.com/Download/index.aspx) supporting CUDA 11.7 or higher. - - Use the following command to verify the installation: +``` +nvidia-smi +``` +Expected output should show your GPU model and driver version. - ```bash - nvidia-smi - ``` +**CUDA Toolkit:** +1. Download and install [CUDA toolkit](https://developer.nvidia.com/cuda-downloads) (**CUDA 11.7 or higher**) +2. Verify installation: - ##### CUDA Toolkit +``` +nvcc --version +``` +**Linux Additional Requirements:** +1. Required packages are installed: +``` +sudo apt update +sudo apt install gcc-11 g++-11 cpp-11 +``` +See [detailed instructions](https://gcc.gnu.org/projects/cxx-status.html#cxx17). - - Install a [CUDA toolkit](https://developer.nvidia.com/cuda-downloads) compatible with your NVIDIA driver. - - Use the following command to verify the installation: +2. Set up CUDA environment: +``` +export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64 +``` +See [detailed instructions](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#post-installation-actions). - ```bash - nvcc --version - ``` + +Ensure your (V)RAM is accessible; some users with virtual RAM may require additional configuration. + - - - - ##### NVIDIA Driver +### Step 2: Turn on GPU acceleration - - Install an [NVIDIA Driver](https://www.nvidia.com/Download/index.aspx) supporting CUDA 11.7 or higher. - - Use the following command to verify the installation: +Jan manages GPU usage automatically: +- Switches to GPU mode when supported +- Automatically selects GPU with highest VRAM - ```bash - nvidia-smi - ``` +To verify GPU acceleration is turned on: +1. Open **Settings** > **Hardware** +2. Verify that **GPU Acceleration** is turned on +3. Verify your selected GPU(s) are visible in **System Monitor** from Jan's footer - ##### CUDA Toolkit - - - Install a [CUDA toolkit](https://developer.nvidia.com/cuda-downloads) compatible with your NVIDIA driver. - - Use the following command to verify the installation: - - ```bash - nvcc --version - ``` - ##### Linux Specifics - - - Ensure that `gcc-11`, `g++-11`, `cpp-11`, or higher is installed. - - See [instructions](https://gcc.gnu.org/projects/cxx-status.html#cxx17) for Ubuntu installation. - - - **Post-Installation Actions**: Add CUDA libraries to `LD_LIBRARY_PATH`. - - Follow the [Post-installation Actions](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#post-installation-actions) instructions. - - - - -#### 2. Switch to GPU Mode - -If your system supports it, Jan defaults to CPU mode but automatically switches to GPU mode, selecting the GPU with the highest VRAM. Check this setting in `Settings` > `Advanced Settings`. - -##### Troubleshooting Tips - -If GPU mode isn't enabled by default: - -1. Confirm that you have installed an NVIDIA driver supporting CUDA 11.7 or higher. Refer to [CUDA compatibility](https://docs.nvidia.com/deploy/cuda-compatibility/index.html#binary-compatibility__table-toolkit-driver). -2. Ensure compatibility of the CUDA toolkit with your NVIDIA driver. Refer to [CUDA compatibility](https://docs.nvidia.com/deploy/cuda-compatibility/index.html#binary-compatibility__table-toolkit-driver). -3. Add CUDA's `.so` libraries to the `LD_LIBRARY_PATH` for Linux. Ensure that CUDA's `.dll` libraries are in the PATH for Windows. Refer to [Windows setup](https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html#environment-setup). +
+![Hardware](./_assets/trouble-shooting-01.png) +
-If you encounter an error message indicating that loading a model requires additional dependencies, follow these steps: +### Step 3: GPU Settings Check -1. Click on **Install Additional Dependencies** in the error message. -2. You will be redirected to the **Tensor RT LLM Inference Engine** section. -3. Click the **Install** button to install additional dependencies. +1. Go to **Settings** > **Advanced Settings** > Open **Jan Data Folder** +2. Open **Settings** folder +3. Open `settings.json` file -#### 3. Check GPU Settings +Example `settings.json`: -1. Navigate to `Settings` > `Advanced Settings` > `Jan Data Folder` to access GPU settings. -2. Open the `settings.json` file in the `settings` folder. Here's an example: - -```json title="~/jan/data/settings/settings.json" +``` { "notify": true, "run_mode": "gpu", @@ -256,83 +246,59 @@ If you encounter an error message indicating that loading a model requires addit "gpu_highest_vram": "0" } ``` +**Key Configuration Values:** +- `run_mode`: Should be "gpu" for GPU acceleration +- `nvidia_driver`: Shows driver status and version +- `cuda`: Shows CUDA toolkit status and version +- `gpus`: Lists available GPUs and their VRAM (in MB) +- `gpu_highest_vram`: ID of GPU with most VRAM -#### 4. Restart Jan -Restart the Jan application to make sure it works. -##### Troubleshooting Tips +### Step 4: Restart Jan -- Ensure the `nvidia_driver` and `cuda` fields indicate installed software. -- If `gpus` field is empty or lacks your GPU, check the NVIDIA driver and CUDA toolkit installations. -- For further assistance, share the `settings.json` file. +Restart Jan to make sure it works. -#### Tested Configurations + -- **Windows 11 Pro 64-bit:** +### Tested Configurations +These configurations have been verified to work with Jan's GPU acceleration. You can use them as reference points for your setup. - - GPU: NVIDIA GeForce RTX 4070ti - - CUDA: 12.2 - - NVIDIA driver: 531.18 (Bare metal) +**Bare Metal Installations** -- **Ubuntu 22.04 LTS:** +Windows 11 Pro (64-bit) +| Component | Version/Model | +|-----------|--------------| +| GPU | NVIDIA GeForce RTX 4070Ti | +| CUDA | 12.2 | +| NVIDIA Driver | 531.18 | +| OS | Windows 11 Pro 64-bit | +| RAM | 32GB | - - GPU: NVIDIA GeForce RTX 4070ti - - CUDA: 12.2 - - NVIDIA driver: 545 (Bare metal) +Ubuntu 22.04 LTS +| Component | Version/Model | +|-----------|--------------| +| GPU | NVIDIA GeForce RTX 4070Ti | +| CUDA | 12.2 | +| NVIDIA Driver | 545 | +| OS | Ubuntu 22.04 LTS | -- **Ubuntu 20.04 LTS:** +**Virtual Machine Setups** - - GPU: NVIDIA GeForce GTX 1660ti - - CUDA: 12.1 - - NVIDIA driver: 535 (Proxmox VM passthrough GPU) +Ubuntu on Proxmox VM +| Component | Version/Model | +|-----------|--------------| +| GPU | NVIDIA GeForce GTX 1660Ti | +| CUDA | 12.1 | +| NVIDIA Driver | 535 | +| OS | Ubuntu 20.04/18.04 LTS | +| VM Type | Proxmox | -- **Ubuntu 18.04 LTS:** - - GPU: NVIDIA GeForce GTX 1660ti - - CUDA: 12.1 - - NVIDIA driver: 535 (Proxmox VM passthrough GPU) - -#### Common Issues and Solutions - -1. If the issue persists, install the [Nightly version](/guides/quickstart/#nightly-releases). -2. Ensure your (V)RAM is accessible; some users with virtual RAM may require additional configuration. -3. Seek assistance in [Jan Discord](https://discord.gg/mY69SZaMaC). - -## How to Get Error Logs - -To get the error logs of your Jan application, follow the steps below: - -#### Jan Application - -1. Navigate to the main dashboard. -2. Click the **gear icon (⚙️)** on the bottom left of your screen. -3. Under the **Settings screen**, click the **Advanced Settings**. -4. On the **Jan Data Folder** click the **folder icon (📂)** to access the data. -5. Click the **logs** folder. - -#### Jan UI - -1. Open your Unix or Linux terminal. -2. Use the following commands to get the recent 50 lines of log files: - -```bash -tail -n 50 ~/jan/data/logs/app.log - -``` - -#### Jan API Server - -1. Open your Unix or Linux terminal. -2. Use the following commands to get the recent 50 lines of log files: - -```bash -tail -n 50 ~/jan/data/logs/server.log - -``` - - -Ensure to redact any private or sensitive information when sharing logs or error details. - +**Performance Notes** +- Bare metal installations provide better performance +- VM setups require proper GPU passthrough configuration +- Some laptop GPUs may have reduced performance +- Hybrid graphics (Optimus) may need additional configuration ## Permission Denied @@ -346,7 +312,7 @@ Error EACCES: permission denied, mkdtemp '/Users/username/.npm/_cacache/tmp/ueCM Permission problems mainly cause this error during installation. To resolve this issue, follow these steps: -1. Open your terminal. +1. Open your **Terminal** 2. Execute the following command to change ownership of the `~/.npm` directory to the current user: @@ -354,63 +320,82 @@ Permission problems mainly cause this error during installation. To resolve this sudo chown -R $(whoami) ~/.npm ``` - -This command ensures that the necessary permissions are granted for Jan's installation, resolving the encountered error. - +This command ensures that the necessary permissions are granted for Jan's installation. -## Something's Amiss -When you start a chat with a model and encounter a Something's Amiss error, here's how to resolve it: +## "Failed to fetch" or "Something's Amiss" errors -1. Ensure your OS is up to date. -2. Choose a model smaller than 80% of your hardware's V/RAM. For example, on an 8GB machine, opt for models smaller than 6 GB. -3. Install the latest [Nightly release](/guides/quickstart/#nightly-releases) or [clear the application cache](#broken-build) when reinstalling Jan. -4. Confirm your V/RAM accessibility, mainly if using virtual RAM. -5. Nvidia GPU users should download [CUDA](https://developer.nvidia.com/cuda-downloads). -6. Linux users, ensure your system meets the requirements of gcc 11, g++ 11, cpp 11, or higher. Refer to this [link](#troubleshooting-nvidia-gpu) for details. -7. You might use the wrong port when you [check the app logs](#how-to-get-error-logs) and encounter the Bind address failed at 127.0.0.1:39291 error. To check the port status, try using the `netstat` command, like the following: +When you start a chat with a model and encounter a **Failed to Fetch** or **Something's Amiss** error, here are some possible solutions to resolve it: - - - ```bash - netstat -an | grep 39291 - ``` - - - ```bash - netstat -ano | find "39291" - tasklist /fi "PID eq 39291" - ``` - - - ```bash - netstat -anpe | grep "39291" - ``` - - +**1. Check System & Hardware Requirements** +- Hardware dependencies: Ensure your device meets all [hardware requirements](docs/troubleshooting#step-1-verify-hardware-and-system-requirements) +- OS: Ensure your operating system meets the minimum requirements ([Mac](/docs/desktop/mac#minimum-requirements), [Windows](/docs/desktop/windows#compatibility), [Linux](docs/desktop/linux#compatibility)) +- RAM: Choose models that use less than 80% of your available RAM + - For 8GB systems: Use models under 6GB + - For 16GB systems: Use models under 13GB +**2. Check Model Parameters** +- In **Engine Settings** in right sidebar, check your `ngl` ([number of GPU layers](/docs/models/model-parameters#engine-parameters)) setting to see if it's too high +- Start with a lower NGL value and increase gradually based on your GPU memory + +**3. Port Conflicts** + +If you check your [app logs](/docs/troubleshooting#how-to-get-error-logs) & see "Bind address failed at 127.0.0.1:39291", check port availability: +``` +# Mac +netstat -an | grep 39291 + +# Windows +netstat -ano | find "39291" +tasklist /fi "PID eq 39291" + +# Linux +netstat -anpe | grep "39291" +``` `Netstat` displays the contents of various network-related data structures for active connections. - - Jan uses the following ports: - - Jan and Cortex API Server: `1337` - - Jan Documentation: `3001` +Default Jan ports: +- Jan and Cortex API Server: `1337` +- Jan Documentation: `3001` + +**4. Factory Reset** + +A factory reset can resolve persistent issues by returning Jan to its original state. This will remove all custom settings, downloaded models, and chat history. +1. Go to **Settings** > **Advanced Settings** +2. At **Reset To Factory Settings**, click **Reset** + + +This will delete all chat history, models, and settings. -## Undefined Issue -If you experience an undefined or unusual issue, please follow the steps below: -1. Delete Jan's extension folder located at `~/jan/data`. -2. Restart the Jan application. -## Unexpected Token +**5. Try a clean installation** +- Uninstall Jan & clean Jan data folders ([Mac](/docs/desktop/mac#uninstall-jan), [Windows](/docs/desktop/windows#uninstall-jan), [Linux](docs/desktop/linux#uninstall-jan)) +- Install the latest [stable release](/download) -Encountering the `Unexpected token` error when initiating a chat with OpenAI models is mainly caused by your OpenAI key or where you access your OpenAI from. This issue can be solved through the following steps: + +This will delete all your Jan data. + -1. Obtain an OpenAI API key from [OpenAI's developer platform](https://platform.openai.com/) and integrate it into your application. +## OpenAI Unexpected Token Issue +The "Unexpected token" error usually relates to OpenAI API authentication or regional restrictions. + +**Step 1: API Key Sepup** +1. Get a valid API key from [OpenAI's developer platform](https://platform.openai.com/) +2. Ensure the key has sufficient credits & appropriate permissions + +**Step 2: Regional Access** +1. If you're in a region with restricted access, use a VPN service from a supported region +2. Verify your network can reach OpenAI's API endpoints + + +## Need Further Support? +If you can't find what you need in our troubleshooting guide, feel free reach out to us for extra help: +- **Copy** your [app logs](/docs/troubleshooting#how-to-get-error-logs) +- Go to our [Discord](https://discord.com/invite/FTk2MvZwJH) & send it to **#🆘|get-help** channel for further support. -2. Using a VPN could potentially solve the issue, especially if it's related to region locking for accessing OpenAI services. Connecting through a VPN may bypass such restrictions and successfully initiate chats with OpenAI models. - If you have any questions or are looking for support, please don't hesitate to contact us via our [Discord community](https://discord.gg/Dt7MxDyNNZ) or create a new issue in our [GitHub repository](https://github.com/janhq/jan/issues/new/choose). - +Check the logs to ensure the information is what you intend to send. We retain your logs for only **24 hours**, so report any issues promptly. + \ No newline at end of file diff --git a/docs/src/pages/index.mdx b/docs/src/pages/index.mdx index 43c0875d7..4a22a7174 100644 --- a/docs/src/pages/index.mdx +++ b/docs/src/pages/index.mdx @@ -20,7 +20,7 @@ import Home from "@/components/Home" export const getStaticProps = async() => { const resReleaseLatest = await fetch('https://api.github.com/repos/janhq/jan/releases/latest') - const resRelease = await fetch('https://api.github.com/repos/janhq/jan/releases') + const resRelease = await fetch('https://api.github.com/repos/janhq/jan/releases?per_page=500') const resRepo = await fetch('https://api.github.com/repos/janhq/jan') const repo = await resRepo.json() const latestRelease = await resReleaseLatest.json() diff --git a/docs/src/pages/integrations/workflow-automation/n8n.mdx b/docs/src/pages/integrations/workflow-automation/n8n.mdx new file mode 100644 index 000000000..28d838371 --- /dev/null +++ b/docs/src/pages/integrations/workflow-automation/n8n.mdx @@ -0,0 +1,81 @@ +--- +title: n8n +keywords: + [ + Jan, + Customizable Intelligence, LLM, + local AI, + privacy focus, + free and open source, + private and offline, + conversational AI, + no-subscription fee, + large language models, + n8n integration, + n8n, + ] +description: A step-by-step guide on integrating Jan with n8n. +--- + +import { Steps } from 'nextra/components' + +# n8n + +## Integrate n8n with Jan + +[n8n](https://n8n.io/) is an open-source workflow automation tool that allows you to connect to more than 400+ integrations and services to automate repetitive tasks. With its visual interface, you can create complex workflows conveniently. To integrate n8n with Jan, follow the steps below: + + +### Step 1: Run your preferred model with Jan server + +1. Open Jan app. +2. Go to the **Hub** and download your preferred model +3. Run the Jan server + +### Step 2: Start n8n service +Start n8n immediately using npx: + +``` +npx n8n +``` + +Or deploy with Docker: + +``` +docker run -it --rm --name n8n -p 5678:5678 docker.n8n.io/n8nio/n8n +``` + +### Step 3: Integrate Jan with n8n service using HTTP Request + +Integrate Jan by selecting the HTTP Request node in n8n and importing the following cURL command: + +```bash +curl -X 'POST' \ + 'http://127.0.0.1:1337/v1/chat/completions' \ + -H 'accept: application/json' \ + -H 'Content-Type: application/json' \ + -d '{ + "messages": [ + { + "content": "You are a helpful assistant.", + "role": "system" + }, + { + "content": "Hello!", + "role": "user" + } + ], + "model": "tinyllama-1.1b", + "stream": true, + "max_tokens": 2048, + "stop": [ + "hello" + ], + "frequency_penalty": 0, + "presence_penalty": 0, + "temperature": 0.7, + "top_p": 0.95 +}' +``` + + \ No newline at end of file diff --git a/docs/yarn.lock b/docs/yarn.lock new file mode 100644 index 000000000..da90d4b6d --- /dev/null +++ b/docs/yarn.lock @@ -0,0 +1,9167 @@ +# THIS IS AN AUTOGENERATED FILE. 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+++ b/electron/handlers/native.ts @@ -277,4 +277,39 @@ export function handleAppIPCs() { ModuleManager.instance.clearImportedModules() return createUserSpace().then(migrate).then(setupExtensions) }) + + /** + * Handles the "startServer" IPC message to start the Jan API server. + * Initializes and starts server with provided configuration options. + * @param _event - The IPC event object. + * @param args - Configuration object containing host, port, CORS settings etc. + * @returns Promise that resolves when server starts successfully + */ + ipcMain.handle( + NativeRoute.startServer, + async (_event, args): Promise => { + const { startServer } = require('@janhq/server') + return startServer({ + host: args?.host, + port: args?.port, + isCorsEnabled: args?.isCorsEnabled, + isVerboseEnabled: args?.isVerboseEnabled, + prefix: args?.prefix, + }) + } + ) + + /** + * Handles the "stopServer" IPC message to stop the Jan API server. + * Gracefully shuts down the server instance. + * @param _event - The IPC event object + * @returns Promise that resolves when server stops successfully + */ + ipcMain.handle(NativeRoute.stopServer, async (_event): Promise => { + /** + * Stop Jan API Server. + */ + const { stopServer } = require('@janhq/server') + return stopServer() + }) } diff --git a/electron/package.json b/electron/package.json index f8611734a..700f009a5 100644 --- a/electron/package.json +++ b/electron/package.json @@ -1,6 +1,6 @@ { "name": "jan", - "version": "0.1.3", + "version": "0.1.4", "main": "./build/main.js", "author": "Jan ", "license": "MIT", @@ -78,9 +78,17 @@ }, "scripts": { "lint": "eslint . --ext \".js,.jsx,.ts,.tsx\"", - "test:e2e": "playwright test --workers=1", + "test:e2e": "DEBUG=pw:browser xvfb-maybe -- playwright test --workers=1", "copy:assets": "rimraf --glob \"./pre-install/*.tgz\" && cpx \"../pre-install/*.tgz\" \"./pre-install\"", - "dev": "yarn copy:assets && tsc -p . && electron .", + "version-patch": "run-script-os", + "version-patch:darwin:linux": "jq '.version' package.json | tr -d '\"' > .version.bak && jq --arg ver \"0.1.$(date +%s)\" '.version = $ver' package.json > package.tmp && mv package.tmp package.json", + "version-patch:win32": "node -e \"const fs=require('fs');const pkg=require('./package.json');const bak=pkg.version;fs.writeFileSync('.version.bak',bak);pkg.version='0.1.'+Math.floor(Date.now()/1000);fs.writeFileSync('package.json',JSON.stringify(pkg,null,2));\"", + "version-restore": "run-script-os", + "version-restore:darwin:linux": "jq --arg ver $(cat .version.bak) '.version = $ver' package.json > package.tmp && mv package.tmp package.json && rm .version.bak", + "version-restore:win32": "node -e \"const fs=require('fs');const pkg=require('./package.json');const bak=fs.readFileSync('.version.bak','utf8');pkg.version=bak;fs.writeFileSync('package.json',JSON.stringify(pkg,null,2));\"", + "dev:darwin:linux": "yarn copy:assets && tsc -p . && yarn version-patch && electron . && yarn version-restore", + "dev:windows": "yarn copy:assets && tsc -p . && electron .", + "dev": "run-script-os", "compile": "tsc -p .", "start": "electron .", "build": "yarn copy:assets && run-script-os", @@ -98,22 +106,23 @@ }, "dependencies": { "@alumna/reflect": "^1.1.3", - "@janhq/core": "link:./core", - "@janhq/server": "link:./server", + "@janhq/core": "link:../core", + "@janhq/server": "link:../server", + "@kirillvakalov/nut-tree__nut-js": "4.2.1-2", "@npmcli/arborist": "^7.1.0", "electron-store": "^8.1.0", "electron-updater": "^6.1.7", "fs-extra": "^11.2.0", "node-fetch": "2", - "pacote": "^17.0.4", + "pacote": "^21.0.0", "request": "^2.88.2", "request-progress": "^3.0.0", - "ulidx": "^2.3.0", - "@kirillvakalov/nut-tree__nut-js": "4.2.1-2" + "ulidx": "^2.3.0" }, "devDependencies": { "@electron/notarize": "^2.5.0", "@playwright/test": "^1.38.1", + "@reportportal/agent-js-playwright": "^5.1.7", "@types/npmcli__arborist": "^5.6.4", "@types/pacote": "^11.1.7", "@types/request": "^2.48.12", @@ -129,9 +138,10 @@ "rimraf": "^5.0.5", "run-script-os": "^1.1.6", "typescript": "^5.3.3", - "@reportportal/agent-js-playwright": "^5.1.7" + "xvfb-maybe": "^0.2.1" }, "installConfig": { "hoistingLimits": "workspaces" - } + }, + "packageManager": "yarn@4.5.3" } diff --git a/electron/playwright.config.ts b/electron/playwright.config.ts index d3dff40c6..71f435f57 100644 --- a/electron/playwright.config.ts +++ b/electron/playwright.config.ts @@ -9,6 +9,6 @@ const config: PlaywrightTestConfig = { video: 'retain-on-failure', trace: 'retain-on-failure', }, - reporter: [['html', { outputFolder: './playwright-report' }]], + // reporter: [['html', { outputFolder: './playwright-report' }]], } export default config diff --git a/electron/scripts/uninstaller.nsh b/electron/scripts/uninstaller.nsh index ad6d91591..684783258 100644 --- a/electron/scripts/uninstaller.nsh +++ b/electron/scripts/uninstaller.nsh @@ -3,16 +3,44 @@ XPStyle on !macro customUnInstall -; Uninstall process execution - ${ifNot} ${isUpdated} - # If you tick Delete fixed folder - MessageBox MB_OKCANCEL "Do you also want to delete the DEFAULT Jan data folder at $PROFILE\jan?" IDOK label_ok IDCANCEL label_cancel - label_ok: - # Delete user data folder - RMDir /r $PROFILE\jan - Goto end - label_cancel: - Goto end - end: - ${endIf} + ${ifNot} ${isUpdated} + ; Define the process name of your Electron app + StrCpy $0 "Jan.exe" + + ; Check if the application is running + nsExec::ExecToStack 'tasklist /FI "IMAGENAME eq $0" /NH' + Pop $1 + + StrCmp $1 "" notRunning + + ; If the app is running, notify the user and attempt to close it + MessageBox MB_OK "Jan is being uninstalled, force close app." IDOK forceClose + + forceClose: + ; Attempt to kill the running application + nsExec::ExecToStack 'taskkill /F /IM $0' + Pop $1 + + ; Proceed with uninstallation + Goto continueUninstall + + notRunning: + ; If the app is not running, proceed with uninstallation + Goto continueUninstall + + continueUninstall: + ; Proceed with uninstallation + DeleteRegKey HKLM "Software\Jan" + RMDir /r "$INSTDIR" + Delete "$INSTDIR\*.*" + + ; Clean up shortcuts and app data + Delete "$DESKTOP\Jan.lnk" + Delete "$STARTMENU\Programs\Jan.lnk" + RMDir /r "$APPDATA\Jan" + RMDir /r "$LOCALAPPDATA\jan-updater" + + ; Close the uninstaller + Quit + ${endIf} !macroend \ No newline at end of file diff --git a/electron/tests/config/fixtures.ts b/electron/tests/config/fixtures.ts index f61eddfae..c36910161 100644 --- a/electron/tests/config/fixtures.ts +++ b/electron/tests/config/fixtures.ts @@ -36,7 +36,7 @@ export async function setupElectron() { expect(appInfo).toBeTruthy() electronApp = await electron.launch({ - args: [appInfo.main], // main file from package.json + args: [appInfo.main, '--no-sandbox'], // main file from package.json executablePath: appInfo.executable, // path to the Electron executable // recordVideo: { dir: Constants.VIDEO_DIR }, // Specify the directory for video recordings }) diff --git a/extensions/.yarnrc.yml b/extensions/.yarnrc.yml new file mode 100644 index 000000000..74febbee3 --- /dev/null +++ b/extensions/.yarnrc.yml @@ -0,0 +1,3 @@ +nmHoistingLimits: workspaces +nodeLinker: node-modules +checksumBehavior: update diff --git a/extensions/assistant-extension/package.json b/extensions/assistant-extension/package.json index ff757ccce..08ccb3b3d 100644 --- a/extensions/assistant-extension/package.json +++ b/extensions/assistant-extension/package.json @@ -1,41 +1,36 @@ { "name": "@janhq/assistant-extension", "productName": "Jan Assistant", - "version": "1.0.1", - "description": "This extension enables assistants, including Jan, a default assistant that can call all downloaded models", + "version": "1.0.2", + "description": "Powers the default AI assistant that works with all your installed models.", "main": "dist/index.js", "node": "dist/node/index.js", "author": "Jan ", "license": "AGPL-3.0", "scripts": { "clean:modules": "rimraf node_modules/pdf-parse/test && cd node_modules/pdf-parse/lib/pdf.js && rimraf v1.9.426 v1.10.88 v2.0.550", - "build-universal-hnswlib": "cd node_modules/hnswlib-node && arch -x86_64 npx node-gyp rebuild --arch=x64 && mv build/Release/addon.node ./addon-amd64.node && node-gyp rebuild --arch=arm64 && mv build/Release/addon.node ./addon-arm64.node && lipo -create -output build/Release/addon.node ./addon-arm64.node ./addon-amd64.node && rm ./addon-arm64.node && rm ./addon-amd64.node", - "build": "yarn clean:modules && tsc --module commonjs && rollup -c rollup.config.ts", - "build:publish:linux": "rimraf *.tgz --glob && yarn build && npm pack && cpx *.tgz ../../pre-install", - "build:publish:darwin": "rimraf *.tgz --glob && yarn build-universal-hnswlib && yarn build && ../../.github/scripts/auto-sign.sh && npm pack && cpx *.tgz ../../pre-install", - "build:publish:win32": "rimraf *.tgz --glob && yarn build && npm pack && cpx *.tgz ../../pre-install", - "build:publish": "run-script-os" + "build-universal-hnswlib": "[ \"$IS_TEST\" = \"true\" ] && echo \"Skip universal build\" || (cd node_modules/hnswlib-node && arch -x86_64 npx node-gyp rebuild --arch=x64 && mv build/Release/addon.node ./addon-amd64.node && node-gyp rebuild --arch=arm64 && mv build/Release/addon.node ./addon-arm64.node && lipo -create -output build/Release/addon.node ./addon-arm64.node ./addon-amd64.node && rm ./addon-arm64.node && rm ./addon-amd64.node)", + "build": "yarn clean:modules && rolldown -c rolldown.config.mjs", + "build:publish:linux": "rimraf *.tgz --glob || true && yarn build && npm pack && cpx *.tgz ../../pre-install", + "build:publish:darwin": "rimraf *.tgz --glob || true && yarn build-universal-hnswlib && yarn build && ../../.github/scripts/auto-sign.sh && npm pack && cpx *.tgz ../../pre-install", + "build:publish:win32": "rimraf *.tgz --glob || true && yarn build && npm pack && cpx *.tgz ../../pre-install", + "build:publish": "run-script-os", + "build:dev": "rimraf *.tgz --glob || true && yarn build && npm pack && cpx *.tgz ../../pre-install" }, "devDependencies": { - "@rollup/plugin-commonjs": "^25.0.7", - "@rollup/plugin-json": "^6.1.0", - "@rollup/plugin-node-resolve": "^15.2.3", - "@rollup/plugin-replace": "^5.0.5", "@types/pdf-parse": "^1.1.4", "cpx": "^1.5.0", "rimraf": "^3.0.2", - "rollup": "^2.38.5", - "rollup-plugin-define": "^1.0.1", - "rollup-plugin-sourcemaps": "^0.6.3", - "rollup-plugin-typescript2": "^0.36.0", - "typescript": "^5.3.3", - "run-script-os": "^1.1.6" + "rolldown": "1.0.0-beta.1", + "run-script-os": "^1.1.6", + "typescript": "^5.3.3" }, "dependencies": { - "@janhq/core": "file:../../core", + "@janhq/core": "../../core/package.tgz", "@langchain/community": "0.0.13", "hnswlib-node": "^1.4.2", "langchain": "^0.0.214", + "node-gyp": "^11.0.0", "pdf-parse": "^1.1.1", "ts-loader": "^9.5.0" }, @@ -47,5 +42,9 @@ "bundleDependencies": [ "@janhq/core", "hnswlib-node" - ] + ], + "installConfig": { + "hoistingLimits": "workspaces" + }, + "packageManager": "yarn@4.5.3" } diff --git a/extensions/assistant-extension/rolldown.config.mjs b/extensions/assistant-extension/rolldown.config.mjs new file mode 100644 index 000000000..c8fdefd7d --- /dev/null +++ b/extensions/assistant-extension/rolldown.config.mjs @@ -0,0 +1,31 @@ +import { defineConfig } from 'rolldown' +import pkgJson from './package.json' with { type: 'json' } + +export default defineConfig([ + { + input: 'src/index.ts', + output: { + format: 'esm', + file: 'dist/index.js', + }, + platform: 'browser', + define: { + NODE: JSON.stringify(`${pkgJson.name}/${pkgJson.node}`), + VERSION: JSON.stringify(pkgJson.version), + }, + }, + { + input: 'src/node/index.ts', + external: ['@janhq/core/node', 'path', 'hnswlib-node'], + output: { + format: 'cjs', + file: 'dist/node/index.js', + sourcemap: false, + inlineDynamicImports: true, + }, + resolve: { + extensions: ['.js', '.ts'], + }, + platform: 'node', + }, +]) diff --git a/extensions/assistant-extension/rollup.config.ts b/extensions/assistant-extension/rollup.config.ts deleted file mode 100644 index 263f6cc60..000000000 --- a/extensions/assistant-extension/rollup.config.ts +++ /dev/null @@ -1,73 +0,0 @@ -import resolve from '@rollup/plugin-node-resolve' -import commonjs from '@rollup/plugin-commonjs' -import sourceMaps from 'rollup-plugin-sourcemaps' -import typescript from 'rollup-plugin-typescript2' -import json from '@rollup/plugin-json' -import replace from '@rollup/plugin-replace' - -const packageJson = require('./package.json') - -export default [ - { - input: `src/index.ts`, - output: [{ file: packageJson.main, format: 'es', sourcemap: true }], - // Indicate here external modules you don't wanna include in your bundle (i.e.: 'lodash') - external: [], - watch: { - include: 'src/**', - }, - plugins: [ - replace({ - preventAssignment: true, - NODE: JSON.stringify(`${packageJson.name}/${packageJson.node}`), - VERSION: JSON.stringify(packageJson.version), - }), - // Allow json resolution - json(), - // Compile TypeScript files - typescript({ useTsconfigDeclarationDir: true }), - // Compile TypeScript files - // Allow bundling cjs modules (unlike webpack, rollup doesn't understand cjs) - commonjs(), - // Allow node_modules resolution, so you can use 'external' to control - // which external modules to include in the bundle - // https://github.com/rollup/rollup-plugin-node-resolve#usage - resolve({ - extensions: ['.js', '.ts', '.svelte'], - browser: true, - }), - - // Resolve source maps to the original source - sourceMaps(), - ], - }, - { - input: `src/node/index.ts`, - output: [{ dir: 'dist/node', format: 'cjs', sourcemap: false }], - // Indicate here external modules you don't wanna include in your bundle (i.e.: 'lodash') - external: ['@janhq/core/node', 'path', 'hnswlib-node'], - watch: { - include: 'src/node/**', - }, - // inlineDynamicImports: true, - plugins: [ - // Allow json resolution - json(), - // Compile TypeScript files - typescript({ useTsconfigDeclarationDir: true }), - // Allow bundling cjs modules (unlike webpack, rollup doesn't understand cjs) - commonjs({ - ignoreDynamicRequires: true, - }), - // Allow node_modules resolution, so you can use 'external' to control - // which external modules to include in the bundle - // https://github.com/rollup/rollup-plugin-node-resolve#usage - resolve({ - extensions: ['.ts', '.js', '.json'], - }), - - // Resolve source maps to the original source - // sourceMaps(), - ], - }, -] diff --git a/extensions/assistant-extension/src/node/index.ts b/extensions/assistant-extension/src/node/index.ts index 11e8f49c4..731890b34 100644 --- a/extensions/assistant-extension/src/node/index.ts +++ b/extensions/assistant-extension/src/node/index.ts @@ -1,4 +1,4 @@ -import { getJanDataFolderPath, normalizeFilePath } from '@janhq/core/node' +import { getJanDataFolderPath } from '@janhq/core/node' import { retrieval } from './retrieval' import path from 'path' diff --git a/extensions/assistant-extension/tsconfig.json b/extensions/assistant-extension/tsconfig.json index 3838d1c42..7f137d347 100644 --- a/extensions/assistant-extension/tsconfig.json +++ b/extensions/assistant-extension/tsconfig.json @@ -1,10 +1,10 @@ { "compilerOptions": { "moduleResolution": "node", - "target": "ES2015", - "module": "ES2020", - "lib": ["es2015", "es2016", "es2017", "dom"], - "strict": true, + "target": "es2016", + "module": "ES6", + "esModuleInterop": true, + "strict": false, "sourceMap": true, "declaration": true, "allowSyntheticDefaultImports": true, diff --git a/extensions/conversational-extension/package.json b/extensions/conversational-extension/package.json index ea3006449..a5224b99b 100644 --- a/extensions/conversational-extension/package.json +++ b/extensions/conversational-extension/package.json @@ -2,14 +2,14 @@ "name": "@janhq/conversational-extension", "productName": "Conversational", "version": "1.0.0", - "description": "This extension enables conversations and state persistence via your filesystem", + "description": "Enables conversations and state persistence via your filesystem.", "main": "dist/index.js", "author": "Jan ", "license": "MIT", "scripts": { "test": "jest", - "build": "tsc -b . && webpack --config webpack.config.js", - "build:publish": "rimraf *.tgz --glob && yarn build && npm pack && cpx *.tgz ../../pre-install" + "build": "rolldown -c rolldown.config.mjs", + "build:publish": "rimraf *.tgz --glob || true && yarn build && npm pack && cpx *.tgz ../../pre-install" }, "exports": { ".": "./dist/index.js", @@ -18,12 +18,12 @@ "devDependencies": { "cpx": "^1.5.0", "rimraf": "^3.0.2", + "rolldown": "1.0.0-beta.1", "ts-loader": "^9.5.0", - "webpack": "^5.88.2", - "webpack-cli": "^5.1.4" + "typescript": "^5.7.2" }, "dependencies": { - "@janhq/core": "file:../../core", + "@janhq/core": "../../core/package.tgz", "ky": "^1.7.2", "p-queue": "^8.0.1" }, @@ -35,5 +35,9 @@ "package.json", "README.md" ], - "bundleDependencies": [] + "bundleDependencies": [], + "installConfig": { + "hoistingLimits": "workspaces" + }, + "packageManager": "yarn@4.5.3" } diff --git a/extensions/conversational-extension/rolldown.config.mjs b/extensions/conversational-extension/rolldown.config.mjs new file mode 100644 index 000000000..4645021a8 --- /dev/null +++ b/extensions/conversational-extension/rolldown.config.mjs @@ -0,0 +1,14 @@ +import { defineConfig } from 'rolldown' + +export default defineConfig({ + input: 'src/index.ts', + output: { + format: 'esm', + file: 'dist/index.js', + }, + platform: 'browser', + define: { + API_URL: JSON.stringify('http://127.0.0.1:39291'), + SOCKET_URL: JSON.stringify('ws://127.0.0.1:39291'), + }, +}) diff --git a/extensions/conversational-extension/src/@types/global.d.ts b/extensions/conversational-extension/src/@types/global.d.ts index 757b5eebf..813a893f4 100644 --- a/extensions/conversational-extension/src/@types/global.d.ts +++ b/extensions/conversational-extension/src/@types/global.d.ts @@ -1,14 +1,11 @@ -export {} -declare global { - declare const API_URL: string - declare const SOCKET_URL: string +declare const API_URL: string +declare const SOCKET_URL: string - interface Core { - api: APIFunctions - events: EventEmitter - } - interface Window { - core?: Core | undefined - electronAPI?: any | undefined - } +interface Core { + api: APIFunctions + events: EventEmitter +} +interface Window { + core?: Core | undefined + electronAPI?: any | undefined } diff --git a/extensions/conversational-extension/webpack.config.js b/extensions/conversational-extension/webpack.config.js deleted file mode 100644 index 0448af421..000000000 --- a/extensions/conversational-extension/webpack.config.js +++ /dev/null @@ -1,34 +0,0 @@ -const webpack = require('webpack') - -module.exports = { - experiments: { outputModule: true }, - entry: './src/index.ts', // Adjust the entry point to match your project's main file - mode: 'production', - module: { - rules: [ - { - test: /\.tsx?$/, - use: 'ts-loader', - exclude: /node_modules/, - }, - ], - }, - output: { - filename: 'index.js', // Adjust the output file name as needed - library: { type: 'module' }, // Specify ESM output format - }, - plugins: [ - new webpack.DefinePlugin({ - API_URL: JSON.stringify('http://127.0.0.1:39291'), - SOCKET_URL: JSON.stringify('ws://127.0.0.1:39291'), - }), - ], - resolve: { - extensions: ['.ts', '.js'], - }, - // Do not minify the output, otherwise it breaks the class registration - optimization: { - minimize: false, - }, - // Add loaders and other configuration as needed for your project -} diff --git a/extensions/engine-management-extension/engines.mjs b/extensions/engine-management-extension/engines.mjs new file mode 100644 index 000000000..e85035423 --- /dev/null +++ b/extensions/engine-management-extension/engines.mjs @@ -0,0 +1,39 @@ +import anthropic from './resources/anthropic.json' with { type: 'json' } +import cohere from './resources/cohere.json' with { type: 'json' } +import openai from './resources/openai.json' with { type: 'json' } +import openrouter from './resources/openrouter.json' with { type: 'json' } +import groq from './resources/groq.json' with { type: 'json' } +import martian from './resources/martian.json' with { type: 'json' } +import mistral from './resources/mistral.json' with { type: 'json' } +import nvidia from './resources/nvidia.json' with { type: 'json' } + +import anthropicModels from './models/anthropic.json' with { type: 'json' } +import cohereModels from './models/cohere.json' with { type: 'json' } +import openaiModels from './models/openai.json' with { type: 'json' } +import openrouterModels from './models/openrouter.json' with { type: 'json' } +import groqModels from './models/groq.json' with { type: 'json' } +import martianModels from './models/martian.json' with { type: 'json' } +import mistralModels from './models/mistral.json' with { type: 'json' } +import nvidiaModels from './models/nvidia.json' with { type: 'json' } + +const engines = [ + anthropic, + openai, + cohere, + openrouter, + groq, + mistral, + martian, + nvidia, +] +const models = [ + ...anthropicModels, + ...openaiModels, + ...cohereModels, + ...openrouterModels, + ...groqModels, + ...mistralModels, + ...martianModels, + ...nvidiaModels, +] +export { engines, models } diff --git a/extensions/engine-management-extension/jest.config.js b/extensions/engine-management-extension/jest.config.js new file mode 100644 index 000000000..8bb37208d --- /dev/null +++ b/extensions/engine-management-extension/jest.config.js @@ -0,0 +1,5 @@ +/** @type {import('ts-jest').JestConfigWithTsJest} */ +module.exports = { + preset: 'ts-jest', + testEnvironment: 'node', +} diff --git a/extensions/inference-anthropic-extension/resources/models.json b/extensions/engine-management-extension/models/anthropic.json similarity index 54% rename from extensions/inference-anthropic-extension/resources/models.json rename to extensions/engine-management-extension/models/anthropic.json index 59e41245b..d35ba4c22 100644 --- a/extensions/inference-anthropic-extension/resources/models.json +++ b/extensions/engine-management-extension/models/anthropic.json @@ -1,74 +1,41 @@ [ { - "sources": [ - { - "url": "https://www.anthropic.com/" - } - ], - "id": "claude-3-opus-latest", + "model": "claude-3-opus-latest", "object": "model", "name": "Claude 3 Opus Latest", "version": "1.0", "description": "Claude 3 Opus is a powerful model suitables for highly complex task.", - "format": "api", - "settings": {}, - "parameters": { + "inference_params": { "max_tokens": 4096, "temperature": 0.7, "stream": false }, - "metadata": { - "author": "Anthropic", - "tags": ["General", "Big Context Length"] - }, "engine": "anthropic" }, { - "sources": [ - { - "url": "https://www.anthropic.com/" - } - ], - "id": "claude-3-5-haiku-latest", + "model": "claude-3-5-haiku-latest", "object": "model", "name": "Claude 3.5 Haiku Latest", "version": "1.0", "description": "Claude 3.5 Haiku is the fastest model provides near-instant responsiveness.", - "format": "api", - "settings": {}, - "parameters": { + "inference_params": { "max_tokens": 8192, "temperature": 0.7, "stream": false }, - "metadata": { - "author": "Anthropic", - "tags": ["General", "Big Context Length"] - }, "engine": "anthropic" }, { - "sources": [ - { - "url": "https://www.anthropic.com/" - } - ], - "id": "claude-3-5-sonnet-latest", + "model": "claude-3-5-sonnet-latest", "object": "model", "name": "Claude 3.5 Sonnet Latest", "version": "1.0", "description": "Claude 3.5 Sonnet raises the industry bar for intelligence, outperforming competitor models and Claude 3 Opus on a wide range of evaluations, with the speed and cost of our mid-tier model, Claude 3 Sonnet.", - "format": "api", - "settings": {}, - "parameters": { + "inference_params": { "max_tokens": 8192, "temperature": 0.7, "stream": true }, - "metadata": { - "author": "Anthropic", - "tags": ["General", "Big Context Length"] - }, "engine": "anthropic" } ] diff --git a/extensions/inference-cohere-extension/resources/models.json b/extensions/engine-management-extension/models/cohere.json similarity index 58% rename from extensions/inference-cohere-extension/resources/models.json rename to extensions/engine-management-extension/models/cohere.json index 2b4cc3e8e..458e4278b 100644 --- a/extensions/inference-cohere-extension/resources/models.json +++ b/extensions/engine-management-extension/models/cohere.json @@ -1,56 +1,28 @@ [ { - "sources": [ - { - "url": "https://cohere.com" - } - ], - "id": "command-r-plus", + "model": "command-r-plus", "object": "model", "name": "Command R+", "version": "1.0", "description": "Command R+ is an instruction-following conversational model that performs language tasks at a higher quality, more reliably, and with a longer context than previous models. It is best suited for complex RAG workflows and multi-step tool use.", - "format": "api", - "settings": {}, - "parameters": { - "max_tokens": 128000, + "inference_params": { + "max_tokens": 4096, "temperature": 0.7, "stream": false }, - "metadata": { - "author": "Cohere", - "tags": [ - "General", - "Big Context Length" - ] - }, "engine": "cohere" }, { - "sources": [ - { - "url": "https://cohere.com" - } - ], - "id": "command-r", + "model": "command-r", "object": "model", "name": "Command R", "version": "1.0", "description": "Command R is an instruction-following conversational model that performs language tasks at a higher quality, more reliably, and with a longer context than previous models. It can be used for complex workflows like code generation, retrieval augmented generation (RAG), tool use, and agents.", - "format": "api", - "settings": {}, - "parameters": { - "max_tokens": 128000, + "inference_params": { + "max_tokens": 4096, "temperature": 0.7, "stream": false }, - "metadata": { - "author": "Cohere", - "tags": [ - "General", - "Big Context Length" - ] - }, "engine": "cohere" } ] diff --git a/extensions/inference-groq-extension/resources/models.json b/extensions/engine-management-extension/models/groq.json similarity index 53% rename from extensions/inference-groq-extension/resources/models.json rename to extensions/engine-management-extension/models/groq.json index b4b013dad..38a0f3835 100644 --- a/extensions/inference-groq-extension/resources/models.json +++ b/extensions/engine-management-extension/models/groq.json @@ -1,18 +1,11 @@ [ { - "sources": [ - { - "url": "https://groq.com" - } - ], - "id": "llama3-70b-8192", + "model": "llama3-70b-8192", "object": "model", "name": "Groq Llama 3 70b", "version": "1.1", "description": "Groq Llama 3 70b with supercharged speed!", - "format": "api", - "settings": {}, - "parameters": { + "inference_params": { "max_tokens": 8192, "temperature": 0.7, "top_p": 0.95, @@ -21,29 +14,15 @@ "frequency_penalty": 0, "presence_penalty": 0 }, - "metadata": { - "author": "Meta", - "tags": [ - "General", - "Big Context Length" - ] - }, "engine": "groq" }, { - "sources": [ - { - "url": "https://groq.com" - } - ], - "id": "llama3-8b-8192", + "model": "llama3-8b-8192", "object": "model", "name": "Groq Llama 3 8b", "version": "1.1", "description": "Groq Llama 3 8b with supercharged speed!", - "format": "api", - "settings": {}, - "parameters": { + "inference_params": { "max_tokens": 8192, "temperature": 0.7, "top_p": 0.95, @@ -52,29 +31,15 @@ "frequency_penalty": 0, "presence_penalty": 0 }, - "metadata": { - "author": "Meta", - "tags": [ - "General", - "Big Context Length" - ] - }, "engine": "groq" }, { - "sources": [ - { - "url": "https://groq.com" - } - ], - "id": "llama-3.1-8b-instant", + "model": "llama-3.1-8b-instant", "object": "model", "name": "Groq Llama 3.1 8b Instant", "version": "1.1", "description": "Groq Llama 3.1 8b with supercharged speed!", - "format": "api", - "settings": {}, - "parameters": { + "inference_params": { "max_tokens": 8000, "temperature": 0.7, "top_p": 0.95, @@ -83,29 +48,15 @@ "frequency_penalty": 0, "presence_penalty": 0 }, - "metadata": { - "author": "Meta", - "tags": [ - "General", - "Big Context Length" - ] - }, "engine": "groq" }, { - "sources": [ - { - "url": "https://groq.com" - } - ], - "id": "llama-3.2-11b-text-preview", + "model": "llama-3.2-11b-text-preview", "object": "model", "name": "Groq Llama 3.2 11b Text Preview", "version": "1.1", "description": "Groq Llama 3.2 11b Text Preview with supercharged speed!", - "format": "api", - "settings": {}, - "parameters": { + "inference_params": { "max_tokens": 8192, "temperature": 0.7, "top_p": 0.95, @@ -114,29 +65,15 @@ "frequency_penalty": 0, "presence_penalty": 0 }, - "metadata": { - "author": "Meta", - "tags": [ - "General", - "Big Context Length" - ] - }, "engine": "groq" }, { - "sources": [ - { - "url": "https://groq.com" - } - ], - "id": "llama-3.2-11b-vision-preview", + "model": "llama-3.2-11b-vision-preview", "object": "model", "name": "Groq Llama 3.2 11b Vision Preview", "version": "1.1", "description": "Groq Llama 3.2 11b Vision Preview with supercharged speed!", - "format": "api", - "settings": {}, - "parameters": { + "inference_params": { "max_tokens": 8192, "temperature": 0.7, "top_p": 0.95, @@ -145,28 +82,14 @@ "frequency_penalty": 0, "presence_penalty": 0 }, - "metadata": { - "author": "Meta", - "tags": [ - "General", - "Big Context Length" - ] - }, "engine": "groq" }, { - "sources": [ - { - "url": "https://groq.com" - } - ], - "id": "llama-3.2-1b-preview", + "model": "llama-3.2-1b-preview", "object": "model", "name": "Groq Llama 3.2 1b Preview", "version": "1.1", "description": "Groq Llama 3.2 1b Preview with supercharged speed!", - "format": "api", - "settings": {}, "parameters": { "max_tokens": 8192, "temperature": 0.7, @@ -176,28 +99,14 @@ "frequency_penalty": 0, "presence_penalty": 0 }, - "metadata": { - "author": "Meta", - "tags": [ - "General", - "Big Context Length" - ] - }, "engine": "groq" }, { - "sources": [ - { - "url": "https://groq.com" - } - ], - "id": "llama-3.2-3b-preview", + "model": "llama-3.2-3b-preview", "object": "model", "name": "Groq Llama 3.2 3b Preview", "version": "1.1", "description": "Groq Llama 3.2 3b Preview with supercharged speed!", - "format": "api", - "settings": {}, "parameters": { "max_tokens": 8192, "temperature": 0.7, @@ -207,28 +116,14 @@ "frequency_penalty": 0, "presence_penalty": 0 }, - "metadata": { - "author": "Meta", - "tags": [ - "General", - "Big Context Length" - ] - }, "engine": "groq" }, { - "sources": [ - { - "url": "https://groq.com" - } - ], - "id": "llama-3.2-90b-text-preview", + "model": "llama-3.2-90b-text-preview", "object": "model", "name": "Groq Llama 3.2 90b Text Preview", "version": "1.1", "description": "Groq Llama 3.2 90b Text Preview with supercharged speed!", - "format": "api", - "settings": {}, "parameters": { "max_tokens": 8192, "temperature": 0.7, @@ -238,28 +133,14 @@ "frequency_penalty": 0, "presence_penalty": 0 }, - "metadata": { - "author": "Meta", - "tags": [ - "General", - "Big Context Length" - ] - }, "engine": "groq" }, { - "sources": [ - { - "url": "https://groq.com" - } - ], - "id": "llama-3.2-90b-vision-preview", + "model": "llama-3.2-90b-vision-preview", "object": "model", "name": "Groq Llama 3.2 90b Vision Preview", "version": "1.1", "description": "Groq Llama 3.2 90b Vision Preview with supercharged speed!", - "format": "api", - "settings": {}, "parameters": { "max_tokens": 8192, "temperature": 0.7, @@ -269,58 +150,14 @@ "frequency_penalty": 0, "presence_penalty": 0 }, - "metadata": { - "author": "Meta", - "tags": [ - "General", - "Big Context Length" - ] - }, "engine": "groq" }, { - "sources": [ - { - "url": "https://groq.com" - } - ], - "id": "gemma-7b-it", - "object": "model", - "name": "Groq Gemma 7B Instruct", - "version": "1.2", - "description": "Groq Gemma 7B Instruct with supercharged speed!", - "format": "api", - "settings": {}, - "parameters": { - "max_tokens": 8192, - "temperature": 0.7, - "top_p": 0.95, - "stream": true, - "stop": [], - "frequency_penalty": 0, - "presence_penalty": 0 - }, - "metadata": { - "author": "Google", - "tags": [ - "General" - ] - }, - "engine": "groq" - }, - { - "sources": [ - { - "url": "https://groq.com" - } - ], - "id": "gemma2-9b-it", + "model": "gemma2-9b-it", "object": "model", "name": "Groq Gemma 9B Instruct", "version": "1.2", "description": "Groq Gemma 9b Instruct with supercharged speed!", - "format": "api", - "settings": {}, "parameters": { "max_tokens": 8192, "temperature": 0.7, @@ -330,27 +167,14 @@ "frequency_penalty": 0, "presence_penalty": 0 }, - "metadata": { - "author": "Google", - "tags": [ - "General" - ] - }, "engine": "groq" }, { - "sources": [ - { - "url": "https://groq.com" - } - ], - "id": "mixtral-8x7b-32768", + "model": "mixtral-8x7b-32768", "object": "model", "name": "Groq Mixtral 8x7B Instruct", "version": "1.2", "description": "Groq Mixtral 8x7B Instruct is Mixtral with supercharged speed!", - "format": "api", - "settings": {}, "parameters": { "max_tokens": 32768, "temperature": 0.7, @@ -360,13 +184,6 @@ "frequency_penalty": 0, "presence_penalty": 0 }, - "metadata": { - "author": "Mistral", - "tags": [ - "General", - "Big Context Length" - ] - }, "engine": "groq" } -] \ No newline at end of file +] diff --git a/extensions/inference-martian-extension/resources/models.json b/extensions/engine-management-extension/models/martian.json similarity index 63% rename from extensions/inference-martian-extension/resources/models.json rename to extensions/engine-management-extension/models/martian.json index cf59e958e..b935587cc 100644 --- a/extensions/inference-martian-extension/resources/models.json +++ b/extensions/engine-management-extension/models/martian.json @@ -1,17 +1,10 @@ [ { - "sources": [ - { - "url": "https://withmartian.com/" - } - ], - "id": "router", + "model": "router", "object": "model", "name": "Martian Model Router", "version": "1.0", "description": "Martian Model Router dynamically routes requests to the best LLM in real-time", - "format": "api", - "settings": {}, "parameters": { "max_tokens": 4096, "temperature": 0.7, @@ -21,12 +14,6 @@ "frequency_penalty": 0, "presence_penalty": 0 }, - "metadata": { - "author": "Martian", - "tags": [ - "General" - ] - }, "engine": "martian" } -] \ No newline at end of file +] diff --git a/extensions/inference-mistral-extension/resources/models.json b/extensions/engine-management-extension/models/mistral.json similarity index 58% rename from extensions/inference-mistral-extension/resources/models.json rename to extensions/engine-management-extension/models/mistral.json index 23ecd6fdd..47833a31c 100644 --- a/extensions/inference-mistral-extension/resources/models.json +++ b/extensions/engine-management-extension/models/mistral.json @@ -1,83 +1,44 @@ [ { - "sources": [ - { - "url": "https://docs.mistral.ai/api/" - } - ], - "id": "mistral-small-latest", + "model": "mistral-small-latest", "object": "model", "name": "Mistral Small", "version": "1.1", "description": "Mistral Small is the ideal choice for simple tasks (Classification, Customer Support, or Text Generation) at an affordable price.", - "format": "api", - "settings": {}, "parameters": { "max_tokens": 32000, "temperature": 0.7, "top_p": 0.95, "stream": true }, - "metadata": { - "author": "Mistral", - "tags": [ - "General" - ] - }, "engine": "mistral" }, { - "sources": [ - { - "url": "https://docs.mistral.ai/api/" - } - ], - "id": "mistral-large-latest", + "model": "mistral-large-latest", "object": "model", "name": "Mistral Large", "version": "1.1", "description": "Mistral Large is ideal for complex tasks (Synthetic Text Generation, Code Generation, RAG, or Agents).", - "format": "api", - "settings": {}, "parameters": { "max_tokens": 32000, "temperature": 0.7, "top_p": 0.95, "stream": true }, - "metadata": { - "author": "Mistral", - "tags": [ - "General" - ] - }, "engine": "mistral" }, { - "sources": [ - { - "url": "https://docs.mistral.ai/api/" - } - ], - "id": "open-mixtral-8x22b", + "model": "open-mixtral-8x22b", "object": "model", "name": "Mixtral 8x22B", "version": "1.1", "description": "Mixtral 8x22B is a high-performance, cost-effective model designed for complex tasks.", - "format": "api", - "settings": {}, "parameters": { "max_tokens": 32000, "temperature": 0.7, "top_p": 0.95, "stream": true }, - "metadata": { - "author": "Mistral", - "tags": [ - "General" - ] - }, "engine": "mistral" } ] diff --git a/extensions/inference-nvidia-extension/resources/models.json b/extensions/engine-management-extension/models/nvidia.json similarity index 57% rename from extensions/inference-nvidia-extension/resources/models.json rename to extensions/engine-management-extension/models/nvidia.json index b97644fc9..f2adac779 100644 --- a/extensions/inference-nvidia-extension/resources/models.json +++ b/extensions/engine-management-extension/models/nvidia.json @@ -1,17 +1,10 @@ [ { - "sources": [ - { - "url": "https://integrate.api.nvidia.com/v1/chat/completions" - } - ], - "id": "mistralai/mistral-7b-instruct-v0.2", + "model": "mistralai/mistral-7b-instruct-v0.2", "object": "model", "name": "Mistral 7B", "version": "1.1", "description": "Mistral 7B with NVIDIA", - "format": "api", - "settings": {}, "parameters": { "max_tokens": 1024, "temperature": 0.3, @@ -22,10 +15,6 @@ "stop": null, "seed": null }, - "metadata": { - "author": "NVIDIA", - "tags": ["General"] - }, "engine": "nvidia" } ] diff --git a/extensions/inference-openai-extension/resources/models.json b/extensions/engine-management-extension/models/openai.json similarity index 62% rename from extensions/inference-openai-extension/resources/models.json rename to extensions/engine-management-extension/models/openai.json index 0c822fde2..8f59b42ea 100644 --- a/extensions/inference-openai-extension/resources/models.json +++ b/extensions/engine-management-extension/models/openai.json @@ -1,18 +1,12 @@ [ { - "sources": [ - { - "url": "https://openai.com" - } - ], - "id": "gpt-4-turbo", + "model": "gpt-4-turbo", "object": "model", "name": "OpenAI GPT 4 Turbo", "version": "1.2", "description": "OpenAI GPT 4 Turbo model is extremely good", "format": "api", - "settings": {}, - "parameters": { + "inference_params": { "max_tokens": 4096, "temperature": 0.7, "top_p": 0.95, @@ -21,26 +15,16 @@ "frequency_penalty": 0, "presence_penalty": 0 }, - "metadata": { - "author": "OpenAI", - "tags": ["General"] - }, "engine": "openai" }, { - "sources": [ - { - "url": "https://openai.com" - } - ], - "id": "gpt-3.5-turbo", + "model": "gpt-3.5-turbo", "object": "model", "name": "OpenAI GPT 3.5 Turbo", "version": "1.1", "description": "OpenAI GPT 3.5 Turbo model is extremely fast", "format": "api", - "settings": {}, - "parameters": { + "inference_params": { "max_tokens": 4096, "temperature": 0.7, "top_p": 0.95, @@ -49,28 +33,16 @@ "frequency_penalty": 0, "presence_penalty": 0 }, - "metadata": { - "author": "OpenAI", - "tags": ["General"] - }, "engine": "openai" }, { - "sources": [ - { - "url": "https://openai.com" - } - ], - "id": "gpt-4o", + "model": "gpt-4o", "object": "model", "name": "OpenAI GPT 4o", "version": "1.1", "description": "OpenAI GPT 4o is a new flagship model with fast speed and high quality", "format": "api", - "settings": { - "vision_model": true - }, - "parameters": { + "inference_params": { "max_tokens": 4096, "temperature": 0.7, "top_p": 0.95, @@ -79,28 +51,16 @@ "frequency_penalty": 0, "presence_penalty": 0 }, - "metadata": { - "author": "OpenAI", - "tags": ["General"] - }, "engine": "openai" }, { - "sources": [ - { - "url": "https://openai.com" - } - ], - "id": "gpt-4o-mini", + "model": "gpt-4o-mini", "object": "model", "name": "OpenAI GPT 4o-mini", "version": "1.1", "description": "GPT-4o mini (“o” for “omni”) is a fast, affordable small model for focused tasks.", "format": "api", - "settings": { - "vision_model": true - }, - "parameters": { + "inference_params": { "max_tokens": 16384, "temperature": 0.7, "top_p": 0.95, @@ -109,26 +69,16 @@ "frequency_penalty": 0, "presence_penalty": 0 }, - "metadata": { - "author": "OpenAI", - "tags": ["General"] - }, "engine": "openai" }, { - "sources": [ - { - "url": "https://openai.com" - } - ], - "id": "o1", + "model": "o1", "object": "model", "name": "OpenAI o1", "version": "1.0", "description": "OpenAI o1 is a new model with complex reasoning", "format": "api", - "settings": {}, - "parameters": { + "inference_params": { "max_tokens": 100000, "temperature": 1, "top_p": 1, @@ -136,26 +86,16 @@ "frequency_penalty": 0, "presence_penalty": 0 }, - "metadata": { - "author": "OpenAI", - "tags": ["General"] - }, "engine": "openai" }, { - "sources": [ - { - "url": "https://openai.com" - } - ], - "id": "o1-preview", + "model": "o1-preview", "object": "model", "name": "OpenAI o1-preview", "version": "1.0", "description": "OpenAI o1-preview is a new model with complex reasoning", "format": "api", - "settings": {}, - "parameters": { + "inference_params": { "max_tokens": 32768, "temperature": 1, "top_p": 1, @@ -163,26 +103,16 @@ "frequency_penalty": 0, "presence_penalty": 0 }, - "metadata": { - "author": "OpenAI", - "tags": ["General"] - }, "engine": "openai" }, { - "sources": [ - { - "url": "https://openai.com" - } - ], - "id": "o1-mini", + "model": "o1-mini", "object": "model", "name": "OpenAI o1-mini", "version": "1.0", "description": "OpenAI o1-mini is a lightweight reasoning model", "format": "api", - "settings": {}, - "parameters": { + "inference_params": { "max_tokens": 65536, "temperature": 1, "top_p": 1, @@ -190,10 +120,6 @@ "frequency_penalty": 0, "presence_penalty": 0 }, - "metadata": { - "author": "OpenAI", - "tags": ["General"] - }, "engine": "openai" } ] diff --git a/extensions/inference-openrouter-extension/resources/models.json b/extensions/engine-management-extension/models/openrouter.json similarity index 63% rename from extensions/inference-openrouter-extension/resources/models.json rename to extensions/engine-management-extension/models/openrouter.json index 31dea8734..5ac189a81 100644 --- a/extensions/inference-openrouter-extension/resources/models.json +++ b/extensions/engine-management-extension/models/openrouter.json @@ -1,17 +1,10 @@ [ { - "sources": [ - { - "url": "https://openrouter.ai" - } - ], - "id": "open-router-auto", + "model": "open-router-auto", "object": "model", "name": "OpenRouter", "version": "1.0", "description": " OpenRouter scouts for the lowest prices and best latencies/throughputs across dozens of providers, and lets you choose how to prioritize them.", - "format": "api", - "settings": {}, "parameters": { "max_tokens": 128000, "temperature": 0.7, @@ -19,10 +12,6 @@ "frequency_penalty": 0, "presence_penalty": 0 }, - "metadata": { - "author": "OpenRouter", - "tags": ["General", "Big Context Length"] - }, "engine": "openrouter" } ] diff --git a/extensions/engine-management-extension/package.json b/extensions/engine-management-extension/package.json new file mode 100644 index 000000000..96f962ffd --- /dev/null +++ b/extensions/engine-management-extension/package.json @@ -0,0 +1,48 @@ +{ + "name": "@janhq/engine-management-extension", + "productName": "Engine Management", + "version": "1.0.0", + "description": "Manages AI engines and their configurations.", + "main": "dist/index.js", + "node": "dist/node/index.cjs.js", + "author": "Jan ", + "license": "MIT", + "scripts": { + "test": "jest", + "build": "rolldown -c rolldown.config.mjs", + "codesign:darwin": "../../.github/scripts/auto-sign.sh", + "codesign:win32:linux": "echo 'No codesigning required'", + "codesign": "run-script-os", + "build:publish": "rimraf *.tgz --glob || true && yarn build && yarn codesign && npm pack && cpx *.tgz ../../pre-install" + }, + "exports": { + ".": "./dist/index.js", + "./main": "./dist/module.js" + }, + "devDependencies": { + "cpx": "^1.5.0", + "rimraf": "^3.0.2", + "rolldown": "^1.0.0-beta.1", + "run-script-os": "^1.1.6", + "ts-loader": "^9.5.0", + "typescript": "^5.3.3" + }, + "dependencies": { + "@janhq/core": "../../core/package.tgz", + "cpu-instructions": "^0.0.13", + "ky": "^1.7.2", + "p-queue": "^8.0.1" + }, + "bundledDependencies": [ + "cpu-instructions", + "@janhq/core" + ], + "engines": { + "node": ">=18.0.0" + }, + "files": [ + "dist/*", + "package.json", + "README.md" + ] +} diff --git a/extensions/engine-management-extension/resources/anthropic.json b/extensions/engine-management-extension/resources/anthropic.json new file mode 100644 index 000000000..81d6c99c0 --- /dev/null +++ b/extensions/engine-management-extension/resources/anthropic.json @@ -0,0 +1,22 @@ +{ + "id": "@janhq/inference-anthropic-extension", + "type": "remote", + "engine": "anthropic", + "url": "https://console.anthropic.com/settings/keys", + "api_key": "", + "metadata": { + "get_models_url": "https://api.anthropic.com/v1/models", + "header_template": "x-api-key: {{api_key}} anthropic-version: 2023-06-01", + "transform_req": { + "chat_completions": { + "url": "https://api.anthropic.com/v1/messages", + "template": "{ {% for key, value in input_request %} {% if key == \"messages\" %} {% if input_request.messages.0.role == \"system\" %} \"system\": \"{{ input_request.messages.0.content }}\", \"messages\": [{% for message in input_request.messages %} {% if not loop.is_first %} {\"role\": \"{{ message.role }}\", \"content\": \"{{ message.content }}\" } {% if not loop.is_last %},{% endif %} {% endif %} {% endfor %}] {% else %} \"messages\": [{% for message in input_request.messages %} {\"role\": \"{{ message.role}}\", \"content\": \"{{ message.content }}\" } {% if not loop.is_last %},{% endif %} {% endfor %}] {% endif %} {% if not loop.is_last %},{% endif %} {% else if key == \"system\" or key == \"model\" or key == \"temperature\" or key == \"store\" or key == \"max_tokens\" or key == \"stream\" or key == \"presence_penalty\" or key == \"metadata\" or key == \"frequency_penalty\" or key == \"tools\" or key == \"tool_choice\" or key == \"logprobs\" or key == \"top_logprobs\" or key == \"logit_bias\" or key == \"n\" or key == \"modalities\" or key == \"prediction\" or key == \"response_format\" or key == \"service_tier\" or key == \"seed\" or key == \"stop\" or key == \"stream_options\" or key == \"top_p\" or key == \"parallel_tool_calls\" or key == \"user\" %}\"{{ key }}\": {{ tojson(value) }} {% if not loop.is_last %},{% endif %} {% endif %} {% endfor %} }" + } + }, + "transform_resp": { + "chat_completions": { + "template": "{% if input_request.stream %} {\"object\": \"chat.completion.chunk\", \"model\": \"{{ input_request.model }}\", \"choices\": [{\"index\": 0, \"delta\": { {% if input_request.type == \"message_start\" %} \"role\": \"assistant\", \"content\": null {% else if input_request.type == \"ping\" %} \"role\": \"assistant\", \"content\": null {% else if input_request.type == \"content_block_delta\" %} \"role\": \"assistant\", \"content\": \"{{ input_request.delta.text }}\" {% else if input_request.type == \"content_block_stop\" %} \"role\": \"assistant\", \"content\": null {% else if input_request.type == \"content_block_stop\" %} \"role\": \"assistant\", \"content\": null {% endif %} }, {% if input_request.type == \"content_block_stop\" %} \"finish_reason\": \"stop\" {% else %} \"finish_reason\": null {% endif %} }]} {% else %} {\"id\": \"{{ input_request.id }}\", \"created\": null, \"object\": \"chat.completion\", \"model\": \"{{ input_request.model }}\", \"choices\": [{ \"index\": 0, \"message\": { \"role\": \"{{ input_request.role }}\", \"content\": \"{% if input_request.content and input_request.content.0.type == \"text\" %} \"{{input_request.content.0.text}}\" {% endif %}\", \"refusal\": null }, \"logprobs\": null, \"finish_reason\": \"{{ input_request.stop_reason }}\" } ], \"usage\": { \"prompt_tokens\": {{ input_request.usage.input_tokens }}, \"completion_tokens\": {{ input_request.usage.output_tokens }}, \"total_tokens\": {{ input_request.usage.input_tokens + input_request.usage.output_tokens }}, \"prompt_tokens_details\": { \"cached_tokens\": 0 }, \"completion_tokens_details\": { \"reasoning_tokens\": 0, \"accepted_prediction_tokens\": 0, \"rejected_prediction_tokens\": 0 } }, \"system_fingerprint\": \"fp_6b68a8204b\"} {% endif %}" + } + } + } +} diff --git a/extensions/engine-management-extension/resources/cohere.json b/extensions/engine-management-extension/resources/cohere.json new file mode 100644 index 000000000..b10e00e5b --- /dev/null +++ b/extensions/engine-management-extension/resources/cohere.json @@ -0,0 +1,22 @@ +{ + "id": "@janhq/inference-cohere-extension", + "type": "remote", + "engine": "cohere", + "url": "https://dashboard.cohere.com/api-keys", + "api_key": "", + "metadata": { + "get_models_url": "https://api.cohere.ai/v1/models", + "header_template": "Authorization: Bearer {{api_key}}", + "transform_req": { + "chat_completions": { + "url": "https://api.cohere.ai/v1/chat", + "template": "{ {% for key, value in input_request %} {% if key == \"messages\" %} {% if input_request.messages.0.role == \"system\" %} \"preamble\": \"{{ input_request.messages.0.content }}\", {% if length(input_request.messages) > 2 %} \"chatHistory\": [{% for message in input_request.messages %} {% if not loop.is_first and not loop.is_last %} {\"role\": {% if message.role == \"user\" %} \"USER\" {% else %} \"CHATBOT\" {% endif %}, \"content\": \"{{ message.content }}\" } {% if loop.index < length(input_request.messages) - 2 %},{% endif %} {% endif %} {% endfor %}], {% endif %} \"message\": \"{{ last(input_request.messages).content }}\" {% else %} {% if length(input_request.messages) > 2 %} \"chatHistory\": [{% for message in input_request.messages %} {% if not loop.is_last %} { \"role\": {% if message.role == \"user\" %} \"USER\" {% else %} \"CHATBOT\" {% endif %}, \"content\": \"{{ message.content }}\" } {% if loop.index < length(input_request.messages) - 2 %},{% endif %} {% endif %} {% endfor %}],{% endif %}\"message\": \"{{ last(input_request.messages).content }}\" {% endif %}{% if not loop.is_last %},{% endif %} {% else if key == \"system\" or key == \"model\" or key == \"temperature\" or key == \"store\" or key == \"max_tokens\" or key == \"stream\" or key == \"presence_penalty\" or key == \"metadata\" or key == \"frequency_penalty\" or key == \"tools\" or key == \"tool_choice\" or key == \"logprobs\" or key == \"top_logprobs\" or key == \"logit_bias\" or key == \"n\" or key == \"modalities\" or key == \"prediction\" or key == \"response_format\" or key == \"service_tier\" or key == \"seed\" or key == \"stop\" or key == \"stream_options\" or key == \"top_p\" or key == \"parallel_tool_calls\" or key == \"user\" %} \"{{ key }}\": {{ tojson(value) }} {% if not loop.is_last %},{% endif %} {% endif %} {% endfor %} }" + } + }, + "transform_resp": { + "chat_completions": { + "template": "{% if input_request.stream %} {\"object\": \"chat.completion.chunk\", \"model\": \"{{ input_request.model }}\", \"choices\": [{\"index\": 0, \"delta\": { {% if input_request.event_type == \"text-generation\" %} \"role\": \"assistant\", \"content\": \"{{ input_request.text }}\" {% else %} \"role\": \"assistant\", \"content\": null {% endif %} }, {% if input_request.event_type == \"stream-end\" %} \"finish_reason\": \"{{ input_request.finish_reason }}\" {% else %} \"finish_reason\": null {% endif %} }]} {% else %} {\"id\": \"{{ input_request.generation_id }}\", \"created\": null, \"object\": \"chat.completion\", \"model\": {% if input_request.model %} \"{{ input_request.model }}\" {% else %} \"command-r-plus-08-2024\" {% endif %}, \"choices\": [{ \"index\": 0, \"message\": { \"role\": \"assistant\", \"content\": {% if not input_request.text %} null {% else %} \"{{ input_request.text }}\" {% endif %}, \"refusal\": null }, \"logprobs\": null, \"finish_reason\": \"{{ input_request.finish_reason }}\" } ], \"usage\": { \"prompt_tokens\": {{ input_request.meta.tokens.input_tokens }}, \"completion_tokens\": {{ input_request.meta.tokens.output_tokens }},\"total_tokens\": {{ input_request.meta.tokens.input_tokens + input_request.meta.tokens.output_tokens }}, \"prompt_tokens_details\": { \"cached_tokens\": 0 },\"completion_tokens_details\": { \"reasoning_tokens\": 0, \"accepted_prediction_tokens\": 0, \"rejected_prediction_tokens\": 0 } }, \"system_fingerprint\": \"fp_6b68a8204b\"} {% endif %}" + } + } + } +} diff --git a/extensions/engine-management-extension/resources/groq.json b/extensions/engine-management-extension/resources/groq.json new file mode 100644 index 000000000..60d553a92 --- /dev/null +++ b/extensions/engine-management-extension/resources/groq.json @@ -0,0 +1,22 @@ +{ + "id": "@janhq/inference-groq-extension", + "type": "remote", + "engine": "groq", + "url": "https://console.groq.com/keys", + "api_key": "", + "metadata": { + "get_models_url": "https://api.groq.com/openai/v1/models", + "header_template": "Authorization: Bearer {{api_key}}", + "transform_req": { + "chat_completions": { + "url": "https://api.groq.com/openai/v1/chat/completions", + "template": "{ {% set first = true %} {% for key, value in input_request %} {% if key == \"messages\" or key == \"model\" or key == \"temperature\" or key == \"store\" or key == \"max_tokens\" or key == \"stream\" or key == \"presence_penalty\" or key == \"metadata\" or key == \"frequency_penalty\" or key == \"tools\" or key == \"tool_choice\" or key == \"logprobs\" or key == \"top_logprobs\" or key == \"logit_bias\" or key == \"n\" or key == \"modalities\" or key == \"prediction\" or key == \"response_format\" or key == \"service_tier\" or key == \"seed\" or key == \"stop\" or key == \"stream_options\" or key == \"top_p\" or key == \"parallel_tool_calls\" or key == \"user\" %} {% if not first %},{% endif %} \"{{ key }}\": {{ tojson(value) }} {% set first = false %} {% endif %} {% endfor %} }" + } + }, + "transform_resp": { + "chat_completions": { + "template": "{ {% set first = true %} {% for key, value in input_request %} {% if key == \"choices\" or key == \"created\" or key == \"model\" or key == \"service_tier\" or key == \"system_fingerprint\" or key == \"stream\" or key == \"object\" or key == \"usage\" %} {% if not first %},{% endif %} \"{{ key }}\": {{ tojson(value) }} {% set first = false %} {% endif %} {% endfor %} }" + } + } + } +} diff --git a/extensions/engine-management-extension/resources/martian.json b/extensions/engine-management-extension/resources/martian.json new file mode 100644 index 000000000..3a65f3981 --- /dev/null +++ b/extensions/engine-management-extension/resources/martian.json @@ -0,0 +1,22 @@ +{ + "id": "@janhq/inference-martian-extension", + "type": "remote", + "engine": "martian", + "url": "https://withmartian.com/dashboard", + "api_key": "", + "metadata": { + "get_models_url": "https://withmartian.com/api/openai/v1/models", + "header_template": "Authorization: Bearer {{api_key}}", + "transform_req": { + "chat_completions": { + "url": "https://withmartian.com/api/openai/v1/chat/completions", + "template": "{ {% set first = true %} {% for key, value in input_request %} {% if key == \"messages\" or key == \"model\" or key == \"temperature\" or key == \"store\" or key == \"max_tokens\" or key == \"stream\" or key == \"presence_penalty\" or key == \"metadata\" or key == \"frequency_penalty\" or key == \"tools\" or key == \"tool_choice\" or key == \"logprobs\" or key == \"top_logprobs\" or key == \"logit_bias\" or key == \"n\" or key == \"modalities\" or key == \"prediction\" or key == \"response_format\" or key == \"service_tier\" or key == \"seed\" or key == \"stop\" or key == \"stream_options\" or key == \"top_p\" or key == \"parallel_tool_calls\" or key == \"user\" %} {% if not first %},{% endif %} \"{{ key }}\": {{ tojson(value) }} {% set first = false %} {% endif %} {% endfor %} }" + } + }, + "transform_resp": { + "chat_completions": { + "template": "{ {% set first = true %} {% for key, value in input_request %} {% if key == \"choices\" or key == \"created\" or key == \"model\" or key == \"service_tier\" or key == \"system_fingerprint\" or key == \"stream\" or key == \"object\" or key == \"usage\" %} {% if not first %},{% endif %} \"{{ key }}\": {{ tojson(value) }} {% set first = false %} {% endif %} {% endfor %} }" + } + } + } +} diff --git a/extensions/engine-management-extension/resources/mistral.json b/extensions/engine-management-extension/resources/mistral.json new file mode 100644 index 000000000..40a77cbf1 --- /dev/null +++ b/extensions/engine-management-extension/resources/mistral.json @@ -0,0 +1,22 @@ +{ + "id": "@janhq/inference-mistral-extension", + "type": "remote", + "engine": "mistral", + "url": "https://console.mistral.ai/api-keys/", + "api_key": "", + "metadata": { + "get_models_url": "https://api.mistral.ai/v1/models", + "header_template": "Authorization: Bearer {{api_key}}", + "transform_req": { + "chat_completions": { + "url": "https://api.mistral.ai/v1/chat/completions", + "template": "{ {% set first = true %} {% for key, value in input_request %} {% if key == \"messages\" or key == \"model\" or key == \"temperature\" or key == \"store\" or key == \"max_tokens\" or key == \"stream\" or key == \"presence_penalty\" or key == \"metadata\" or key == \"frequency_penalty\" or key == \"tools\" or key == \"tool_choice\" or key == \"logprobs\" or key == \"top_logprobs\" or key == \"logit_bias\" or key == \"n\" or key == \"modalities\" or key == \"prediction\" or key == \"response_format\" or key == \"service_tier\" or key == \"seed\" or key == \"stop\" or key == \"stream_options\" or key == \"top_p\" or key == \"parallel_tool_calls\" or key == \"user\" %} {% if not first %},{% endif %} \"{{ key }}\": {{ tojson(value) }} {% set first = false %} {% endif %} {% endfor %} }" + } + }, + "transform_resp": { + "chat_completions": { + "template": "{ {% set first = true %} {% for key, value in input_request %} {% if key == \"choices\" or key == \"created\" or key == \"model\" or key == \"service_tier\" or key == \"system_fingerprint\" or key == \"stream\" or key == \"object\" or key == \"usage\" %} {% if not first %},{% endif %} \"{{ key }}\": {{ tojson(value) }} {% set first = false %} {% endif %} {% endfor %} }" + } + } + } +} diff --git a/extensions/engine-management-extension/resources/nvidia.json b/extensions/engine-management-extension/resources/nvidia.json new file mode 100644 index 000000000..240130090 --- /dev/null +++ b/extensions/engine-management-extension/resources/nvidia.json @@ -0,0 +1,22 @@ +{ + "id": "@janhq/inference-nvidia-extension", + "type": "remote", + "engine": "nvidia", + "url": "https://org.ngc.nvidia.com/setup/personal-keys", + "api_key": "", + "metadata": { + "get_models_url": "https://integrate.api.nvidia.com/v1/models", + "header_template": "Authorization: Bearer {{api_key}}", + "transform_req": { + "chat_completions": { + "url": "https://integrate.api.nvidia.com/v1/chat/completions", + "template": "{ {% set first = true %} {% for key, value in input_request %} {% if key == \"messages\" or key == \"model\" or key == \"temperature\" or key == \"store\" or key == \"max_tokens\" or key == \"stream\" or key == \"presence_penalty\" or key == \"metadata\" or key == \"frequency_penalty\" or key == \"tools\" or key == \"tool_choice\" or key == \"logprobs\" or key == \"top_logprobs\" or key == \"logit_bias\" or key == \"n\" or key == \"modalities\" or key == \"prediction\" or key == \"response_format\" or key == \"service_tier\" or key == \"seed\" or key == \"stop\" or key == \"stream_options\" or key == \"top_p\" or key == \"parallel_tool_calls\" or key == \"user\" %} {% if not first %},{% endif %} \"{{ key }}\": {{ tojson(value) }} {% set first = false %} {% endif %} {% endfor %} }" + } + }, + "transform_resp": { + "chat_completions": { + "template": "{ {% set first = true %} {% for key, value in input_request %} {% if key == \"choices\" or key == \"created\" or key == \"model\" or key == \"service_tier\" or key == \"system_fingerprint\" or key == \"stream\" or key == \"object\" or key == \"usage\" %} {% if not first %},{% endif %} \"{{ key }}\": {{ tojson(value) }} {% set first = false %} {% endif %} {% endfor %} }" + } + } + } +} diff --git a/extensions/engine-management-extension/resources/openai.json b/extensions/engine-management-extension/resources/openai.json new file mode 100644 index 000000000..97effd42a --- /dev/null +++ b/extensions/engine-management-extension/resources/openai.json @@ -0,0 +1,22 @@ +{ + "id": "@janhq/inference-openai-extension", + "type": "remote", + "engine": "openai", + "url": "https://platform.openai.com/account/api-keys", + "api_key": "", + "metadata": { + "get_models_url": "https://api.openai.com/v1/models", + "header_template": "Authorization: Bearer {{api_key}}", + "transform_req": { + "chat_completions": { + "url": "https://api.openai.com/v1/chat/completions", + "template": "{ {% set first = true %} {% for key, value in input_request %} {% if key == \"model\" or key == \"temperature\" or key == \"store\" or key == \"messages\" or key == \"stream\" or key == \"presence_penalty\" or key == \"metadata\" or key == \"frequency_penalty\" or key == \"tools\" or key == \"tool_choice\" or key == \"logprobs\" or key == \"top_logprobs\" or key == \"logit_bias\" or key == \"n\" or key == \"modalities\" or key == \"prediction\" or key == \"response_format\" or key == \"service_tier\" or key == \"seed\" or key == \"stream_options\" or key == \"top_p\" or key == \"parallel_tool_calls\" or key == \"user\" or key == \"max_tokens\" or ((input_request.model == \"o1\" or input_request.model == \"o1-preview\" or input_request.model == \"o1-mini\") and (key == \"stop\")) %} {% if not first %} , {% endif %} {% if key == \"messages\" and (input_request.model == \"o1\" or input_request.model == \"o1-preview\" or input_request.model == \"o1-mini\") and input_request.messages.0.role == \"system\" %} \"messages\": [{% for message in input_request.messages %} {% if not loop.is_first %} { \"role\": \"{{ message.role }}\", \"content\": \"{{ message.content }}\" } {% if not loop.is_last %} , {% endif %} {% endif %} {% endfor %}] {% else if key == \"max_tokens\" and (input_request.model == \"o1\" or input_request.model == \"o1-preview\" or input_request.model == \"o1-mini\") %} \"max_completion_tokens\": {{ tojson(value) }} {% else %} \"{{ key }}\": {{ tojson(value) }} {% set first = false %} {% endif %} {% endif %} {% endfor %} }" + } + }, + "transform_resp": { + "chat_completions": { + "template": "{ {% set first = true %} {% for key, value in input_request %} {% if key == \"choices\" or key == \"created\" or key == \"model\" or key == \"service_tier\" or key == \"stream\" or key == \"object\" or key == \"usage\" %} {% if not first %},{% endif %} \"{{ key }}\": {{ tojson(value) }} {% set first = false %} {% endif %} {% endfor %} }" + } + } + } +} diff --git a/extensions/engine-management-extension/resources/openrouter.json b/extensions/engine-management-extension/resources/openrouter.json new file mode 100644 index 000000000..45dc48414 --- /dev/null +++ b/extensions/engine-management-extension/resources/openrouter.json @@ -0,0 +1,22 @@ +{ + "id": "@janhq/inference-openrouter-extension", + "type": "remote", + "engine": "openrouter", + "url": "https://openrouter.ai/keys", + "api_key": "", + "metadata": { + "get_models_url": "https://openrouter.ai/api/v1/models", + "header_template": "Authorization: Bearer {{api_key}}", + "transform_req": { + "chat_completions": { + "url": "https://openrouter.ai/api/v1/chat/completions", + "template": "{ {% set first = true %} {% for key, value in input_request %} {% if key == \"messages\" or key == \"temperature\" or key == \"store\" or key == \"max_tokens\" or key == \"stream\" or key == \"presence_penalty\" or key == \"metadata\" or key == \"frequency_penalty\" or key == \"tools\" or key == \"tool_choice\" or key == \"logprobs\" or key == \"top_logprobs\" or key == \"logit_bias\" or key == \"n\" or key == \"modalities\" or key == \"prediction\" or key == \"response_format\" or key == \"service_tier\" or key == \"seed\" or key == \"stop\" or key == \"stream_options\" or key == \"top_p\" or key == \"parallel_tool_calls\" or key == \"user\" %} {% if not first %},{% endif %} \"{{ key }}\": {{ tojson(value) }} {% set first = false %} {% endif %} {% endfor %} }" + } + }, + "transform_resp": { + "chat_completions": { + "template": "{ {% set first = true %} {% for key, value in input_request %} {% if key == \"choices\" or key == \"created\" or key == \"model\" or key == \"service_tier\" or key == \"system_fingerprint\" or key == \"stream\" or key == \"object\" or key == \"usage\" %} {% if not first %},{% endif %} \"{{ key }}\": {{ tojson(value) }} {% set first = false %} {% endif %} {% endfor %} }" + } + } + } +} diff --git a/extensions/engine-management-extension/rolldown.config.mjs b/extensions/engine-management-extension/rolldown.config.mjs new file mode 100644 index 000000000..7e9a2d156 --- /dev/null +++ b/extensions/engine-management-extension/rolldown.config.mjs @@ -0,0 +1,43 @@ +import { defineConfig } from 'rolldown' +import { engines, models } from './engines.mjs' +import pkgJson from './package.json' with { type: 'json' } + +export default defineConfig([ + { + input: 'src/index.ts', + output: { + format: 'esm', + file: 'dist/index.js', + }, + define: { + NODE: JSON.stringify(`${pkgJson.name}/${pkgJson.node}`), + API_URL: JSON.stringify('http://127.0.0.1:39291'), + SOCKET_URL: JSON.stringify('ws://127.0.0.1:39291'), + CORTEX_ENGINE_VERSION: JSON.stringify('v0.1.46'), + DEFAULT_REMOTE_ENGINES: JSON.stringify(engines), + DEFAULT_REMOTE_MODELS: JSON.stringify(models), + }, + }, + { + input: 'src/node/index.ts', + external: ['@janhq/core/node'], + output: { + format: 'cjs', + file: 'dist/node/index.cjs.js', + }, + define: { + CORTEX_ENGINE_VERSION: JSON.stringify('v0.1.46'), + }, + }, + { + input: 'src/node/cpuInfo.ts', + output: { + format: 'cjs', + file: 'dist/node/cpuInfo.js', + }, + external: ['cpu-instructions'], + resolve: { + extensions: ['.ts', '.js', '.svg'], + }, + }, +]) diff --git a/extensions/engine-management-extension/src/@types/global.d.ts b/extensions/engine-management-extension/src/@types/global.d.ts new file mode 100644 index 000000000..2d520d5f9 --- /dev/null +++ b/extensions/engine-management-extension/src/@types/global.d.ts @@ -0,0 +1,19 @@ +declare const API_URL: string +declare const CORTEX_ENGINE_VERSION: string +declare const SOCKET_URL: string +declare const NODE: string + +declare const DEFAULT_REMOTE_ENGINES: ({ + id: string + engine: string +} & EngineConfig)[] +declare const DEFAULT_REMOTE_MODELS: Model[] + +interface Core { + api: APIFunctions + events: EventEmitter +} +interface Window { + core?: Core | undefined + electronAPI?: any | undefined +} diff --git a/extensions/engine-management-extension/src/error.ts b/extensions/engine-management-extension/src/error.ts new file mode 100644 index 000000000..50c75f22f --- /dev/null +++ b/extensions/engine-management-extension/src/error.ts @@ -0,0 +1,10 @@ +/** + * Custom Engine Error + */ +export class EngineError extends Error { + message: string + constructor(message: string) { + super() + this.message = message + } +} diff --git a/extensions/engine-management-extension/src/index.ts b/extensions/engine-management-extension/src/index.ts new file mode 100644 index 000000000..0d30bf4ea --- /dev/null +++ b/extensions/engine-management-extension/src/index.ts @@ -0,0 +1,306 @@ +import { + EngineManagementExtension, + InferenceEngine, + DefaultEngineVariant, + Engines, + EngineConfig, + EngineVariant, + EngineReleased, + executeOnMain, + systemInformation, + Model, + fs, + joinPath, + events, + ModelEvent, + EngineEvent, +} from '@janhq/core' +import ky, { HTTPError } from 'ky' +import PQueue from 'p-queue' +import { EngineError } from './error' +import { getJanDataFolderPath } from '@janhq/core' + +/** + * JSONEngineManagementExtension is a EngineManagementExtension implementation that provides + * functionality for managing engines. + */ +export default class JSONEngineManagementExtension extends EngineManagementExtension { + queue = new PQueue({ concurrency: 1 }) + + /** + * Called when the extension is loaded. + */ + async onLoad() { + // Symlink Engines Directory + await executeOnMain(NODE, 'symlinkEngines') + // Run Healthcheck + this.queue.add(() => this.healthz()) + // Update default local engine + this.updateDefaultEngine() + + // Populate default remote engines + this.populateDefaultRemoteEngines() + } + + /** + * Called when the extension is unloaded. + */ + onUnload() {} + + /** + * @returns A Promise that resolves to an object of list engines. + */ + async getEngines(): Promise { + return this.queue.add(() => + ky + .get(`${API_URL}/v1/engines`) + .json() + .then((e) => e) + ) as Promise + } + + /** + * @returns A Promise that resolves to an object of list engines. + */ + async getRemoteModels(name: string): Promise { + return this.queue.add(() => + ky + .get(`${API_URL}/v1/models/remote/${name}`) + .json() + .then((e) => e) + .catch(() => []) + ) as Promise + } + + /** + * @param name - Inference engine name. + * @returns A Promise that resolves to an array of installed engine. + */ + async getInstalledEngines(name: InferenceEngine): Promise { + return this.queue.add(() => + ky + .get(`${API_URL}/v1/engines/${name}`) + .json() + .then((e) => e) + ) as Promise + } + + /** + * @param name - Inference engine name. + * @param version - Version of the engine. + * @param platform - Optional to sort by operating system. macOS, linux, windows. + * @returns A Promise that resolves to an array of latest released engine by version. + */ + async getReleasedEnginesByVersion( + name: InferenceEngine, + version: string, + platform?: string + ) { + return this.queue.add(() => + ky + .get(`${API_URL}/v1/engines/${name}/releases/${version}`) + .json() + .then((e) => + platform ? e.filter((r) => r.name.includes(platform)) : e + ) + ) as Promise + } + + /** + * @param name - Inference engine name. + * @param platform - Optional to sort by operating system. macOS, linux, windows. + * @returns A Promise that resolves to an array of latest released engine by version. + */ + async getLatestReleasedEngine(name: InferenceEngine, platform?: string) { + return this.queue.add(() => + ky + .get(`${API_URL}/v1/engines/${name}/releases/latest`) + .json() + .then((e) => + platform ? e.filter((r) => r.name.includes(platform)) : e + ) + ) as Promise + } + + /** + * @param name - Inference engine name. + * @returns A Promise that resolves to intall of engine. + */ + async installEngine(name: string, engineConfig: EngineConfig) { + return this.queue.add(() => + ky + .post(`${API_URL}/v1/engines/${name}/install`, { json: engineConfig }) + .then((e) => e) + ) as Promise<{ messages: string }> + } + + /** + * Add a new remote engine + * @returns A Promise that resolves to intall of engine. + */ + async addRemoteEngine(engineConfig: EngineConfig) { + return this.queue.add(() => + ky.post(`${API_URL}/v1/engines`, { json: engineConfig }).then((e) => e) + ) as Promise<{ messages: string }> + } + + /** + * @param name - Inference engine name. + * @returns A Promise that resolves to unintall of engine. + */ + async uninstallEngine(name: InferenceEngine, engineConfig: EngineConfig) { + return this.queue.add(() => + ky + .delete(`${API_URL}/v1/engines/${name}/install`, { json: engineConfig }) + .then((e) => e) + ) as Promise<{ messages: string }> + } + + /** + * Add a new remote model + * @param model - Remote model object. + */ + async addRemoteModel(model: Model) { + return this.queue.add(() => + ky.post(`${API_URL}/v1/models/add`, { json: model }).then((e) => e) + ) + } + + /** + * @param name - Inference engine name. + * @returns A Promise that resolves to an object of default engine. + */ + async getDefaultEngineVariant(name: InferenceEngine) { + return this.queue.add(() => + ky + .get(`${API_URL}/v1/engines/${name}/default`) + .json<{ messages: string }>() + .then((e) => e) + ) as Promise + } + + /** + * @body variant - string + * @body version - string + * @returns A Promise that resolves to set default engine. + */ + async setDefaultEngineVariant( + name: InferenceEngine, + engineConfig: EngineConfig + ) { + return this.queue.add(() => + ky + .post(`${API_URL}/v1/engines/${name}/default`, { json: engineConfig }) + .then((e) => e) + ) as Promise<{ messages: string }> + } + + /** + * @returns A Promise that resolves to update engine. + */ + async updateEngine(name: InferenceEngine, engineConfig?: EngineConfig) { + return this.queue.add(() => + ky + .post(`${API_URL}/v1/engines/${name}/update`, { json: engineConfig }) + .then((e) => e) + ) as Promise<{ messages: string }> + } + + /** + * Do health check on cortex.cpp + * @returns + */ + async healthz(): Promise { + return ky + .get(`${API_URL}/healthz`, { + retry: { limit: 20, delay: () => 500, methods: ['get'] }, + }) + .then(() => {}) + } + + /** + * Update default local engine + * This is to use built-in engine variant in case there is no default engine set + */ + async updateDefaultEngine() { + try { + const variant = await this.getDefaultEngineVariant( + InferenceEngine.cortex_llamacpp + ) + const installedEngines = await this.getInstalledEngines( + InferenceEngine.cortex_llamacpp + ) + if ( + !installedEngines.some( + (e) => e.name === variant.variant && e.version === variant.version + ) + ) { + throw new EngineError( + 'Default engine is not available, use bundled version.' + ) + } + } catch (error) { + if ( + (error instanceof HTTPError && error.response.status === 400) || + error instanceof EngineError + ) { + const systemInfo = await systemInformation() + const variant = await executeOnMain( + NODE, + 'engineVariant', + systemInfo.gpuSetting + ) + await this.setDefaultEngineVariant(InferenceEngine.cortex_llamacpp, { + variant: variant, + version: `${CORTEX_ENGINE_VERSION}`, + }) + } else { + console.error('An unexpected error occurred:', error) + } + } + } + + /** + * This is to populate default remote engines in case there is no customized remote engine setting + */ + async populateDefaultRemoteEngines() { + const engines = await this.getEngines() + if ( + !Object.values(engines) + .flat() + .some((e) => e.type === 'remote') + ) { + await Promise.all( + DEFAULT_REMOTE_ENGINES.map(async (engine) => { + const { id, ...data } = engine + + /// BEGIN - Migrate legacy api key settings + let api_key = undefined + if (id) { + const apiKeyPath = await joinPath([ + await getJanDataFolderPath(), + 'settings', + id, + 'settings.json', + ]) + if (await fs.existsSync(apiKeyPath)) { + const settings = await fs.readFileSync(apiKeyPath, 'utf-8') + api_key = JSON.parse(settings).find( + (e) => e.key === `${data.engine}-api-key` + )?.controllerProps?.value + } + } + data.api_key = api_key + /// END - Migrate legacy api key settings + + await this.addRemoteEngine(data).catch(console.error) + }) + ) + events.emit(EngineEvent.OnEngineUpdate, {}) + DEFAULT_REMOTE_MODELS.forEach(async (data: Model) => { + await this.addRemoteModel(data).catch(() => {}) + }) + events.emit(ModelEvent.OnModelsUpdate, { fetch: true }) + } + } +} diff --git a/extensions/inference-cortex-extension/src/node/cpuInfo.ts b/extensions/engine-management-extension/src/node/cpuInfo.ts similarity index 100% rename from extensions/inference-cortex-extension/src/node/cpuInfo.ts rename to extensions/engine-management-extension/src/node/cpuInfo.ts diff --git a/extensions/inference-cortex-extension/src/node/execute.test.ts b/extensions/engine-management-extension/src/node/index.test.ts similarity index 63% rename from extensions/inference-cortex-extension/src/node/execute.test.ts rename to extensions/engine-management-extension/src/node/index.test.ts index 1bcefce9d..c73feb9c6 100644 --- a/extensions/inference-cortex-extension/src/node/execute.test.ts +++ b/extensions/engine-management-extension/src/node/index.test.ts @@ -1,5 +1,5 @@ import { describe, expect, it } from '@jest/globals' -import { engineVariant, executableCortexFile } from './execute' +import engine from './index' import { GpuSetting } from '@janhq/core/node' import { cpuInfo } from 'cpu-instructions' import { fork } from 'child_process' @@ -62,20 +62,9 @@ describe('test executable cortex file', () => { Object.defineProperty(process, 'arch', { value: 'arm64', }) - expect(executableCortexFile(testSettings)).toEqual( - expect.objectContaining({ - enginePath: expect.stringContaining('shared'), - executablePath: - originalPlatform === 'darwin' - ? expect.stringContaining(`cortex-server`) - : expect.anything(), - cudaVisibleDevices: '', - vkVisibleDevices: '', - }) - ) mockFork.mockReturnValue(mockProcess) - expect(engineVariant(testSettings)).resolves.toEqual('mac-arm64') + expect(engine.engineVariant(testSettings)).resolves.toEqual('mac-arm64') }) it('executes on MacOS', () => { @@ -99,18 +88,7 @@ describe('test executable cortex file', () => { value: 'x64', }) - expect(executableCortexFile(testSettings)).toEqual( - expect.objectContaining({ - enginePath: expect.stringContaining('shared'), - executablePath: - originalPlatform === 'darwin' - ? expect.stringContaining(`cortex-server`) - : expect.anything(), - cudaVisibleDevices: '', - vkVisibleDevices: '', - }) - ) - expect(engineVariant(testSettings)).resolves.toEqual('mac-amd64') + expect(engine.engineVariant(testSettings)).resolves.toEqual('mac-amd64') }) it('executes on Windows CPU', () => { @@ -131,15 +109,7 @@ describe('test executable cortex file', () => { } mockFork.mockReturnValue(mockProcess) - expect(executableCortexFile(settings)).toEqual( - expect.objectContaining({ - enginePath: expect.stringContaining('shared'), - executablePath: expect.stringContaining(`cortex-server.exe`), - cudaVisibleDevices: '', - vkVisibleDevices: '', - }) - ) - expect(engineVariant()).resolves.toEqual('windows-amd64-avx') + expect(engine.engineVariant()).resolves.toEqual('windows-amd64-avx') }) it('executes on Windows Cuda 11', () => { @@ -176,15 +146,8 @@ describe('test executable cortex file', () => { send: jest.fn(), } mockFork.mockReturnValue(mockProcess) - expect(executableCortexFile(settings)).toEqual( - expect.objectContaining({ - enginePath: expect.stringContaining('shared'), - executablePath: expect.stringContaining(`cortex-server.exe`), - cudaVisibleDevices: '0', - vkVisibleDevices: '0', - }) - ) - expect(engineVariant(settings)).resolves.toEqual( + + expect(engine.engineVariant(settings)).resolves.toEqual( 'windows-amd64-avx2-cuda-11-7' ) }) @@ -221,15 +184,8 @@ describe('test executable cortex file', () => { }), send: jest.fn(), }) - expect(executableCortexFile(settings)).toEqual( - expect.objectContaining({ - enginePath: expect.stringContaining('shared'), - executablePath: expect.stringContaining(`cortex-server.exe`), - cudaVisibleDevices: '0', - vkVisibleDevices: '0', - }) - ) - expect(engineVariant(settings)).resolves.toEqual( + + expect(engine.engineVariant(settings)).resolves.toEqual( 'windows-amd64-noavx-cuda-12-0' ) mockFork.mockReturnValue({ @@ -240,7 +196,7 @@ describe('test executable cortex file', () => { }), send: jest.fn(), }) - expect(engineVariant(settings)).resolves.toEqual( + expect(engine.engineVariant(settings)).resolves.toEqual( 'windows-amd64-avx2-cuda-12-0' ) }) @@ -261,15 +217,8 @@ describe('test executable cortex file', () => { }), send: jest.fn(), }) - expect(executableCortexFile(settings)).toEqual( - expect.objectContaining({ - enginePath: expect.stringContaining('shared'), - executablePath: expect.stringContaining(`cortex-server`), - cudaVisibleDevices: '', - vkVisibleDevices: '', - }) - ) - expect(engineVariant()).resolves.toEqual('linux-amd64-noavx') + + expect(engine.engineVariant()).resolves.toEqual('linux-amd64-noavx') }) it('executes on Linux Cuda 11', () => { @@ -306,15 +255,9 @@ describe('test executable cortex file', () => { send: jest.fn(), }) - expect(executableCortexFile(settings)).toEqual( - expect.objectContaining({ - enginePath: expect.stringContaining('shared'), - executablePath: expect.stringContaining(`cortex-server`), - cudaVisibleDevices: '0', - vkVisibleDevices: '0', - }) + expect(engine.engineVariant(settings)).resolves.toBe( + 'linux-amd64-avx2-cuda-11-7' ) - expect(engineVariant(settings)).resolves.toBe('linux-amd64-avx2-cuda-11-7') }) it('executes on Linux Cuda 12', () => { @@ -349,15 +292,8 @@ describe('test executable cortex file', () => { }), send: jest.fn(), }) - expect(executableCortexFile(settings)).toEqual( - expect.objectContaining({ - enginePath: expect.stringContaining('shared'), - executablePath: expect.stringContaining(`cortex-server`), - cudaVisibleDevices: '0', - vkVisibleDevices: '0', - }) - ) - expect(engineVariant(settings)).resolves.toEqual( + + expect(engine.engineVariant(settings)).resolves.toEqual( 'linux-amd64-avx2-cuda-12-0' ) }) @@ -383,16 +319,7 @@ describe('test executable cortex file', () => { send: jest.fn(), }) - expect(executableCortexFile(settings)).toEqual( - expect.objectContaining({ - enginePath: expect.stringContaining('shared'), - executablePath: expect.stringContaining(`cortex-server`), - - cudaVisibleDevices: '', - vkVisibleDevices: '', - }) - ) - expect(engineVariant(settings)).resolves.toEqual( + expect(engine.engineVariant(settings)).resolves.toEqual( `linux-amd64-${instruction}` ) }) @@ -416,15 +343,7 @@ describe('test executable cortex file', () => { }), send: jest.fn(), }) - expect(executableCortexFile(settings)).toEqual( - expect.objectContaining({ - enginePath: expect.stringContaining('shared'), - executablePath: expect.stringContaining(`cortex-server.exe`), - cudaVisibleDevices: '', - vkVisibleDevices: '', - }) - ) - expect(engineVariant(settings)).resolves.toEqual( + expect(engine.engineVariant(settings)).resolves.toEqual( `windows-amd64-${instruction}` ) }) @@ -465,15 +384,7 @@ describe('test executable cortex file', () => { }), send: jest.fn(), }) - expect(executableCortexFile(settings)).toEqual( - expect.objectContaining({ - enginePath: expect.stringContaining('shared'), - executablePath: expect.stringContaining(`cortex-server.exe`), - cudaVisibleDevices: '0', - vkVisibleDevices: '0', - }) - ) - expect(engineVariant(settings)).resolves.toEqual( + expect(engine.engineVariant(settings)).resolves.toEqual( `windows-amd64-${instruction === 'avx512' || instruction === 'avx2' ? 'avx2' : 'noavx'}-cuda-12-0` ) }) @@ -514,15 +425,7 @@ describe('test executable cortex file', () => { }), send: jest.fn(), }) - expect(executableCortexFile(settings)).toEqual( - expect.objectContaining({ - enginePath: expect.stringContaining('shared'), - executablePath: expect.stringContaining(`cortex-server`), - cudaVisibleDevices: '0', - vkVisibleDevices: '0', - }) - ) - expect(engineVariant(settings)).resolves.toEqual( + expect(engine.engineVariant(settings)).resolves.toEqual( `linux-amd64-${instruction === 'avx512' || instruction === 'avx2' ? 'avx2' : 'noavx'}-cuda-12-0` ) }) @@ -564,50 +467,8 @@ describe('test executable cortex file', () => { }), send: jest.fn(), }) - expect(executableCortexFile(settings)).toEqual( - expect.objectContaining({ - enginePath: expect.stringContaining('shared'), - executablePath: expect.stringContaining(`cortex-server`), - cudaVisibleDevices: '0', - vkVisibleDevices: '0', - }) - ) - expect(engineVariant(settings)).resolves.toEqual(`linux-amd64-vulkan`) - }) - }) - - // Generate test for different cpu instructions on MacOS - it(`executes on MacOS with different instructions`, () => { - Object.defineProperty(process, 'platform', { - value: 'darwin', - }) - const cpuInstructions = ['avx512', 'avx2', 'avx', 'noavx'] - cpuInstructions.forEach(() => { - Object.defineProperty(process, 'platform', { - value: 'darwin', - }) - const settings: GpuSetting = { - ...testSettings, - run_mode: 'cpu', - } - mockFork.mockReturnValue({ - on: jest.fn((event, callback) => { - if (event === 'message') { - callback('noavx') - } - }), - send: jest.fn(), - }) - expect(executableCortexFile(settings)).toEqual( - expect.objectContaining({ - enginePath: expect.stringContaining('shared'), - executablePath: - originalPlatform === 'darwin' - ? expect.stringContaining(`cortex-server`) - : expect.anything(), - cudaVisibleDevices: '', - vkVisibleDevices: '', - }) + expect(engine.engineVariant(settings)).resolves.toEqual( + `linux-amd64-vulkan` ) }) }) diff --git a/extensions/inference-cortex-extension/src/node/execute.ts b/extensions/engine-management-extension/src/node/index.ts similarity index 67% rename from extensions/inference-cortex-extension/src/node/execute.ts rename to extensions/engine-management-extension/src/node/index.ts index 0b091d464..31ad90ed2 100644 --- a/extensions/inference-cortex-extension/src/node/execute.ts +++ b/extensions/engine-management-extension/src/node/index.ts @@ -1,13 +1,13 @@ import * as path from 'path' -import { GpuSetting, appResourcePath, log } from '@janhq/core/node' +import { + appResourcePath, + getJanDataFolderPath, + GpuSetting, + log, +} from '@janhq/core/node' import { fork } from 'child_process' +import { mkdir, readdir, symlink } from 'fs/promises' -export interface CortexExecutableOptions { - enginePath: string - executablePath: string - cudaVisibleDevices: string - vkVisibleDevices: string -} /** * The GPU runMode that will be set - either 'vulkan', 'cuda', or empty for cpu. * @param settings @@ -37,14 +37,6 @@ const os = (): string => { : 'linux-amd64' } -/** - * The cortex.cpp extension based on the current platform. - * @returns .exe if on Windows, otherwise an empty string. - */ -const extension = (): '.exe' | '' => { - return process.platform === 'win32' ? '.exe' : '' -} - /** * The CUDA version that will be set - either '11-7' or '12-0'. * @param settings @@ -89,30 +81,10 @@ const cpuInstructions = async (): Promise => { }) } -/** - * The executable options for the cortex.cpp extension. - */ -export const executableCortexFile = ( - gpuSetting?: GpuSetting -): CortexExecutableOptions => { - let cudaVisibleDevices = gpuSetting?.gpus_in_use.join(',') ?? '' - let vkVisibleDevices = gpuSetting?.gpus_in_use.join(',') ?? '' - let binaryName = `cortex-server${extension()}` - const binPath = path.join(__dirname, '..', 'bin') - return { - enginePath: path.join(appResourcePath(), 'shared'), - executablePath: path.join(binPath, binaryName), - cudaVisibleDevices, - vkVisibleDevices, - } -} - /** * Find which variant to run based on the current platform. */ -export const engineVariant = async ( - gpuSetting?: GpuSetting -): Promise => { +const engineVariant = async (gpuSetting?: GpuSetting): Promise => { const cpuInstruction = await cpuInstructions() log(`[CORTEX]: CPU instruction: ${cpuInstruction}`) let engineVariant = [ @@ -135,3 +107,47 @@ export const engineVariant = async ( log(`[CORTEX]: Engine variant: ${engineVariant}`) return engineVariant } + +/** + * Create symlink to each variant for the default bundled version + */ +const symlinkEngines = async () => { + const sourceEnginePath = path.join( + appResourcePath(), + 'shared', + 'engines', + 'cortex.llamacpp' + ) + const symlinkEnginePath = path.join( + getJanDataFolderPath(), + 'engines', + 'cortex.llamacpp' + ) + const variantFolders = await readdir(sourceEnginePath) + for (const variant of variantFolders) { + const targetVariantPath = path.join( + sourceEnginePath, + variant, + CORTEX_ENGINE_VERSION + ) + const symlinkVariantPath = path.join( + symlinkEnginePath, + variant, + CORTEX_ENGINE_VERSION + ) + + await mkdir(path.join(symlinkEnginePath, variant), { + recursive: true, + }).catch((error) => log(JSON.stringify(error))) + + await symlink(targetVariantPath, symlinkVariantPath, 'junction').catch( + (error) => log(JSON.stringify(error)) + ) + console.log(`Symlink created: ${targetVariantPath} -> ${symlinkEnginePath}`) + } +} + +export default { + engineVariant, + symlinkEngines, +} diff --git a/extensions/inference-openai-extension/tsconfig.json b/extensions/engine-management-extension/tsconfig.json similarity index 71% rename from extensions/inference-openai-extension/tsconfig.json rename to extensions/engine-management-extension/tsconfig.json index 6db951c9e..72e1e1895 100644 --- a/extensions/inference-openai-extension/tsconfig.json +++ b/extensions/engine-management-extension/tsconfig.json @@ -8,8 +8,9 @@ "forceConsistentCasingInFileNames": true, "strict": false, "skipLibCheck": true, - "rootDir": "./src" + "rootDir": "./src", + "resolveJsonModule": true }, "include": ["./src"], - "exclude": ["**/*.test.ts"] + "exclude": ["src/**/*.test.ts", "rolldown.config.mjs"] } diff --git a/extensions/inference-anthropic-extension/README.md b/extensions/inference-anthropic-extension/README.md deleted file mode 100644 index 1c0dcbd3d..000000000 --- a/extensions/inference-anthropic-extension/README.md +++ /dev/null @@ -1,79 +0,0 @@ -# Anthropic Engine Extension - -Created using Jan extension example - -# Create a Jan Extension using Typescript - -Use this template to bootstrap the creation of a TypeScript Jan extension. 🚀 - -## Create Your Own Extension - -To create your own extension, you can use this repository as a template! Just follow the below instructions: - -1. Click the Use this template button at the top of the repository -2. Select Create a new repository -3. Select an owner and name for your new repository -4. Click Create repository -5. Clone your new repository - -## Initial Setup - -After you've cloned the repository to your local machine or codespace, you'll need to perform some initial setup steps before you can develop your extension. - -> [!NOTE] -> -> You'll need to have a reasonably modern version of -> [Node.js](https://nodejs.org) handy. If you are using a version manager like -> [`nodenv`](https://github.com/nodenv/nodenv) or -> [`nvm`](https://github.com/nvm-sh/nvm), you can run `nodenv install` in the -> root of your repository to install the version specified in -> [`package.json`](./package.json). Otherwise, 20.x or later should work! - -1. :hammer_and_wrench: Install the dependencies - - ```bash - npm install - ``` - -1. :building_construction: Package the TypeScript for distribution - - ```bash - npm run bundle - ``` - -1. :white_check_mark: Check your artifact - - There will be a tgz file in your extension directory now - -## Update the Extension Metadata - -The [`package.json`](package.json) file defines metadata about your extension, such as -extension name, main entry, description and version. - -When you copy this repository, update `package.json` with the name, description for your extension. - -## Update the Extension Code - -The [`src/`](./src/) directory is the heart of your extension! This contains the -source code that will be run when your extension functions are invoked. You can replace the -contents of this directory with your own code. - -There are a few things to keep in mind when writing your extension code: - -- Most Jan Extension functions are processed asynchronously. - In `index.ts`, you will see that the extension function will return a `Promise`. - - ```typescript - import { events, MessageEvent, MessageRequest } from '@janhq/core' - - function onStart(): Promise { - return events.on(MessageEvent.OnMessageSent, (data: MessageRequest) => - this.inference(data) - ) - } - ``` - - For more information about the Jan Extension Core module, see the - [documentation](https://github.com/janhq/jan/blob/main/core/README.md). - -So, what are you waiting for? Go ahead and start customizing your extension! diff --git a/extensions/inference-anthropic-extension/jest.config.js b/extensions/inference-anthropic-extension/jest.config.js deleted file mode 100644 index 3e32adceb..000000000 --- a/extensions/inference-anthropic-extension/jest.config.js +++ /dev/null @@ -1,9 +0,0 @@ -/** @type {import('ts-jest').JestConfigWithTsJest} */ -module.exports = { - preset: 'ts-jest', - testEnvironment: 'node', - transform: { - 'node_modules/@janhq/core/.+\\.(j|t)s?$': 'ts-jest', - }, - transformIgnorePatterns: ['node_modules/(?!@janhq/core/.*)'], -} diff --git a/extensions/inference-anthropic-extension/package.json b/extensions/inference-anthropic-extension/package.json deleted file mode 100644 index 8115ba2df..000000000 --- a/extensions/inference-anthropic-extension/package.json +++ /dev/null @@ -1,44 +0,0 @@ -{ - "name": "@janhq/inference-anthropic-extension", - "productName": "Anthropic Inference Engine", - "version": "1.0.3", - "description": "This extension enables Anthropic chat completion API calls", - "main": "dist/index.js", - "module": "dist/module.js", - "engine": "anthropic", - "author": "Jan ", - "license": "AGPL-3.0", - "scripts": { - "test": "jest test", - "build": "tsc -b . && webpack --config webpack.config.js", - "build:publish": "rimraf *.tgz --glob && yarn build && npm pack && cpx *.tgz ../../pre-install", - "sync:core": "cd ../.. && yarn build:core && cd extensions && rm yarn.lock && cd inference-anthropic-extension && yarn && yarn build:publish" - }, - "exports": { - ".": "./dist/index.js", - "./main": "./dist/module.js" - }, - "devDependencies": { - "cpx": "^1.5.0", - "rimraf": "^3.0.2", - "webpack": "^5.88.2", - "webpack-cli": "^5.1.4", - "ts-loader": "^9.5.0" - }, - "dependencies": { - "@janhq/core": "file:../../core", - "fetch-retry": "^5.0.6", - "ulidx": "^2.3.0" - }, - "engines": { - "node": ">=18.0.0" - }, - "files": [ - "dist/*", - "package.json", - "README.md" - ], - "bundleDependencies": [ - "fetch-retry" - ] -} diff --git a/extensions/inference-anthropic-extension/resources/settings.json b/extensions/inference-anthropic-extension/resources/settings.json deleted file mode 100644 index 9ca4405ac..000000000 --- a/extensions/inference-anthropic-extension/resources/settings.json +++ /dev/null @@ -1,24 +0,0 @@ -[ - { - "key": "anthropic-api-key", - "title": "API Key", - "description": "The Anthropic API uses API keys for authentication. Visit your [API Keys](https://console.anthropic.com/settings/keys) page to retrieve the API key you'll use in your requests.", - "controllerType": "input", - "controllerProps": { - "placeholder": "Insert API Key", - "value": "", - "type": "password", - "inputActions": ["unobscure", "copy"] - } - }, - { - "key": "chat-completions-endpoint", - "title": "Chat Completions Endpoint", - "description": "The endpoint to use for chat completions. See the [Anthropic API documentation](https://docs.anthropic.com/claude/docs/intro-to-claude) for more information.", - "controllerType": "input", - "controllerProps": { - "placeholder": "https://api.anthropic.com/v1/messages", - "value": "https://api.anthropic.com/v1/messages" - } - } -] diff --git a/extensions/inference-anthropic-extension/src/anthropic.test.ts b/extensions/inference-anthropic-extension/src/anthropic.test.ts deleted file mode 100644 index 703ead0fb..000000000 --- a/extensions/inference-anthropic-extension/src/anthropic.test.ts +++ /dev/null @@ -1,77 +0,0 @@ -// Import necessary modules -import JanInferenceAnthropicExtension, { Settings } from '.' -import { PayloadType, ChatCompletionRole } from '@janhq/core' - -// Mocks -jest.mock('@janhq/core', () => ({ - RemoteOAIEngine: jest.fn().mockImplementation(() => ({ - registerSettings: jest.fn(), - registerModels: jest.fn(), - getSetting: jest.fn(), - onChange: jest.fn(), - onSettingUpdate: jest.fn(), - onLoad: jest.fn(), - headers: jest.fn(), - })), - PayloadType: jest.fn(), - ChatCompletionRole: { - User: 'user' as const, - Assistant: 'assistant' as const, - System: 'system' as const, - }, -})) - -// Helper functions -const createMockPayload = (): PayloadType => ({ - messages: [ - { role: ChatCompletionRole.System, content: 'Meow' }, - { role: ChatCompletionRole.User, content: 'Hello' }, - { role: ChatCompletionRole.Assistant, content: 'Hi there' }, - ], - model: 'claude-v1', - stream: false, -}) - -describe('JanInferenceAnthropicExtension', () => { - let extension: JanInferenceAnthropicExtension - - beforeEach(() => { - extension = new JanInferenceAnthropicExtension('', '') - extension.apiKey = 'mock-api-key' - extension.inferenceUrl = 'mock-endpoint' - jest.clearAllMocks() - }) - - it('should initialize with correct settings', async () => { - await extension.onLoad() - expect(extension.apiKey).toBe('mock-api-key') - expect(extension.inferenceUrl).toBe('mock-endpoint') - }) - - it('should transform payload correctly', () => { - const payload = createMockPayload() - const transformedPayload = extension.transformPayload(payload) - - expect(transformedPayload).toEqual({ - max_tokens: 4096, - model: 'claude-v1', - stream: false, - system: 'Meow', - messages: [ - { role: 'user', content: 'Hello' }, - { role: 'assistant', content: 'Hi there' }, - ], - }) - }) - - it('should transform response correctly', () => { - const nonStreamResponse = { content: [{ text: 'Test response' }] } - const streamResponse = - 'data: {"type":"content_block_delta","delta":{"text":"Hello"}}' - - expect(extension.transformResponse(nonStreamResponse)).toBe('Test response') - expect(extension.transformResponse(streamResponse)).toBe('Hello') - expect(extension.transformResponse('')).toBe('') - expect(extension.transformResponse('event: something')).toBe('') - }) -}) diff --git a/extensions/inference-anthropic-extension/src/index.ts b/extensions/inference-anthropic-extension/src/index.ts deleted file mode 100644 index 94da26d94..000000000 --- a/extensions/inference-anthropic-extension/src/index.ts +++ /dev/null @@ -1,153 +0,0 @@ -/** - * @file This file exports a class that implements the InferenceExtension interface from the @janhq/core package. - * The class provides methods for initializing and stopping a model, and for making inference requests. - * It also subscribes to events emitted by the @janhq/core package and handles new message requests. - * @version 1.0.0 - * @module inference-anthropic-extension/src/index - */ - -import { RemoteOAIEngine } from '@janhq/core' -import { PayloadType } from '@janhq/core' -import { ChatCompletionRole } from '@janhq/core' - -declare const SETTINGS: Array -declare const MODELS: Array - -export enum Settings { - apiKey = 'anthropic-api-key', - chatCompletionsEndPoint = 'chat-completions-endpoint', -} - -type AnthropicPayloadType = { - stream: boolean - model?: string - max_tokens?: number - messages?: Array<{ role: string; content: string }> - system?: string -} - -/** - * A class that implements the InferenceExtension interface from the @janhq/core package. - * The class provides methods for initializing and stopping a model, and for making inference requests. - * It also subscribes to events emitted by the @janhq/core package and handles new message requests. - */ -export default class JanInferenceAnthropicExtension extends RemoteOAIEngine { - inferenceUrl: string = '' - provider: string = 'anthropic' - maxTokens: number = 4096 - - override async onLoad(): Promise { - super.onLoad() - - // Register Settings - this.registerSettings(SETTINGS) - this.registerModels(MODELS) - - this.apiKey = await this.getSetting(Settings.apiKey, '') - this.inferenceUrl = await this.getSetting( - Settings.chatCompletionsEndPoint, - '' - ) - - if (this.inferenceUrl.length === 0) { - SETTINGS.forEach((setting) => { - if (setting.key === Settings.chatCompletionsEndPoint) { - this.inferenceUrl = setting.controllerProps.value as string - } - }) - } - } - - // Override the headers method to include the x-API-key in the request headers - override async headers(): Promise { - return { - 'Content-Type': 'application/json', - 'x-api-key': this.apiKey, - 'anthropic-version': '2023-06-01', - } - } - - onSettingUpdate(key: string, value: T): void { - if (key === Settings.apiKey) { - this.apiKey = value as string - } else if (key === Settings.chatCompletionsEndPoint) { - if (typeof value !== 'string') return - - if (value.trim().length === 0) { - SETTINGS.forEach((setting) => { - if (setting.key === Settings.chatCompletionsEndPoint) { - this.inferenceUrl = setting.controllerProps.value as string - } - }) - } else { - this.inferenceUrl = value - } - } - } - - // Override the transformPayload method to convert the payload to the required format - transformPayload = (payload: PayloadType): AnthropicPayloadType => { - if (!payload.messages || payload.messages.length === 0) { - return { - max_tokens: this.maxTokens, - messages: [], - model: payload.model, - stream: payload.stream, - } - } - - const convertedData: AnthropicPayloadType = { - max_tokens: this.maxTokens, - messages: [], - model: payload.model, - stream: payload.stream, - } - - payload.messages.forEach((item) => { - if (item.role === ChatCompletionRole.User) { - convertedData.messages.push({ - role: 'user', - content: item.content as string, - }) - } else if (item.role === ChatCompletionRole.Assistant) { - convertedData.messages.push({ - role: 'assistant', - content: item.content as string, - }) - } else if (item.role === ChatCompletionRole.System) { - // When using Claude, you can dramatically improve its performance by using the system parameter to give it a role. - // This technique, known as role prompting, is the most powerful way to use system prompts with Claude. - convertedData.system = item.content as string - } - }) - - return convertedData - } - - // Sample returned stream data from anthropic - // {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""} } - // {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Hello"} } - // {"type":"content_block_stop","index":0 } - // {"type":"message_delta","delta":{"stop_reason":"end_turn","stop_sequence":null},"usage":{"output_tokens":12} } - - // Override the transformResponse method to convert the response to the required format - transformResponse = (data: any): string => { - // handling stream response - if (typeof data === 'string' && data.trim().length === 0) return '' - if (typeof data === 'string' && data.startsWith('event: ')) return '' - if (typeof data === 'string' && data.startsWith('data: ')) { - data = data.replace('data: ', '') - const parsedData = JSON.parse(data) - if (parsedData.type !== 'content_block_delta') return '' - return parsedData.delta?.text ?? '' - } - - // non stream response - if (data.content && data.content.length > 0 && data.content[0].text) { - return data.content[0].text - } - - console.error('Invalid response format:', data) - return '' - } -} diff --git a/extensions/inference-anthropic-extension/tsconfig.json b/extensions/inference-anthropic-extension/tsconfig.json deleted file mode 100644 index 6db951c9e..000000000 --- a/extensions/inference-anthropic-extension/tsconfig.json +++ /dev/null @@ -1,15 +0,0 @@ -{ - "compilerOptions": { - "target": "es2016", - "module": "ES6", - "moduleResolution": "node", - "outDir": "./dist", - "esModuleInterop": true, - "forceConsistentCasingInFileNames": true, - "strict": false, - "skipLibCheck": true, - "rootDir": "./src" - }, - "include": ["./src"], - "exclude": ["**/*.test.ts"] -} diff --git a/extensions/inference-anthropic-extension/webpack.config.js b/extensions/inference-anthropic-extension/webpack.config.js deleted file mode 100644 index cd5e65c72..000000000 --- a/extensions/inference-anthropic-extension/webpack.config.js +++ /dev/null @@ -1,37 +0,0 @@ -const webpack = require('webpack') -const packageJson = require('./package.json') -const settingJson = require('./resources/settings.json') -const modelsJson = require('./resources/models.json') - -module.exports = { - experiments: { outputModule: true }, - entry: './src/index.ts', // Adjust the entry point to match your project's main file - mode: 'production', - module: { - rules: [ - { - test: /\.tsx?$/, - use: 'ts-loader', - exclude: /node_modules/, - }, - ], - }, - plugins: [ - new webpack.DefinePlugin({ - MODELS: JSON.stringify(modelsJson), - SETTINGS: JSON.stringify(settingJson), - ENGINE: JSON.stringify(packageJson.engine), - }), - ], - output: { - filename: 'index.js', // Adjust the output file name as needed - library: { type: 'module' }, // Specify ESM output format - }, - resolve: { - extensions: ['.ts', '.js'], - }, - optimization: { - minimize: false, - }, - // Add loaders and other configuration as needed for your project -} diff --git a/extensions/inference-cohere-extension/README.md b/extensions/inference-cohere-extension/README.md deleted file mode 100644 index 089a096e8..000000000 --- a/extensions/inference-cohere-extension/README.md +++ /dev/null @@ -1,79 +0,0 @@ -# Cohere Engine Extension - -Created using Jan extension example - -# Create a Jan Extension using Typescript - -Use this template to bootstrap the creation of a TypeScript Jan extension. 🚀 - -## Create Your Own Extension - -To create your own extension, you can use this repository as a template! Just follow the below instructions: - -1. Click the Use this template button at the top of the repository -2. Select Create a new repository -3. Select an owner and name for your new repository -4. Click Create repository -5. Clone your new repository - -## Initial Setup - -After you've cloned the repository to your local machine or codespace, you'll need to perform some initial setup steps before you can develop your extension. - -> [!NOTE] -> -> You'll need to have a reasonably modern version of -> [Node.js](https://nodejs.org) handy. If you are using a version manager like -> [`nodenv`](https://github.com/nodenv/nodenv) or -> [`nvm`](https://github.com/nvm-sh/nvm), you can run `nodenv install` in the -> root of your repository to install the version specified in -> [`package.json`](./package.json). Otherwise, 20.x or later should work! - -1. :hammer_and_wrench: Install the dependencies - - ```bash - npm install - ``` - -1. :building_construction: Package the TypeScript for distribution - - ```bash - npm run bundle - ``` - -1. :white_check_mark: Check your artifact - - There will be a tgz file in your extension directory now - -## Update the Extension Metadata - -The [`package.json`](package.json) file defines metadata about your extension, such as -extension name, main entry, description and version. - -When you copy this repository, update `package.json` with the name, description for your extension. - -## Update the Extension Code - -The [`src/`](./src/) directory is the heart of your extension! This contains the -source code that will be run when your extension functions are invoked. You can replace the -contents of this directory with your own code. - -There are a few things to keep in mind when writing your extension code: - -- Most Jan Extension functions are processed asynchronously. - In `index.ts`, you will see that the extension function will return a `Promise`. - - ```typescript - import { events, MessageEvent, MessageRequest } from '@janhq/core' - - function onStart(): Promise { - return events.on(MessageEvent.OnMessageSent, (data: MessageRequest) => - this.inference(data) - ) - } - ``` - - For more information about the Jan Extension Core module, see the - [documentation](https://github.com/janhq/jan/blob/main/core/README.md). - -So, what are you waiting for? Go ahead and start customizing your extension! diff --git a/extensions/inference-cohere-extension/package.json b/extensions/inference-cohere-extension/package.json deleted file mode 100644 index ea03bb33b..000000000 --- a/extensions/inference-cohere-extension/package.json +++ /dev/null @@ -1,43 +0,0 @@ -{ - "name": "@janhq/inference-cohere-extension", - "productName": "Cohere Inference Engine", - "version": "1.0.0", - "description": "This extension enables Cohere chat completion API calls", - "main": "dist/index.js", - "module": "dist/module.js", - "engine": "cohere", - "author": "Jan ", - "license": "AGPL-3.0", - "scripts": { - "build": "tsc -b . && webpack --config webpack.config.js", - "build:publish": "rimraf *.tgz --glob && yarn build && npm pack && cpx *.tgz ../../pre-install", - "sync:core": "cd ../.. && yarn build:core && cd extensions && rm yarn.lock && cd inference-cohere-extension && yarn && yarn build:publish" - }, - "exports": { - ".": "./dist/index.js", - "./main": "./dist/module.js" - }, - "devDependencies": { - "cpx": "^1.5.0", - "rimraf": "^3.0.2", - "webpack": "^5.88.2", - "webpack-cli": "^5.1.4", - "ts-loader": "^9.5.0" - }, - "dependencies": { - "@janhq/core": "file:../../core", - "fetch-retry": "^5.0.6", - "ulidx": "^2.3.0" - }, - "engines": { - "node": ">=18.0.0" - }, - "files": [ - "dist/*", - "package.json", - "README.md" - ], - "bundleDependencies": [ - "fetch-retry" - ] -} diff --git a/extensions/inference-cohere-extension/resources/settings.json b/extensions/inference-cohere-extension/resources/settings.json deleted file mode 100644 index 79150d7e5..000000000 --- a/extensions/inference-cohere-extension/resources/settings.json +++ /dev/null @@ -1,24 +0,0 @@ -[ - { - "key": "cohere-api-key", - "title": "API Key", - "description": "The Cohere API uses API keys for authentication. Visit your [API Keys](https://dashboard.cohere.com/api-keys) page to retrieve the API key you'll use in your requests.", - "controllerType": "input", - "controllerProps": { - "placeholder": "Insert API Key", - "value": "", - "type": "password", - "inputActions": ["unobscure", "copy"] - } - }, - { - "key": "chat-completions-endpoint", - "title": "Chat Completions Endpoint", - "description": "The endpoint to use for chat completions. See the [Cohere API documentation](https://docs.cohere.com/reference/chat) for more information.", - "controllerType": "input", - "controllerProps": { - "placeholder": "https://api.cohere.ai/v1/chat", - "value": "https://api.cohere.ai/v1/chat" - } - } -] diff --git a/extensions/inference-cohere-extension/src/index.ts b/extensions/inference-cohere-extension/src/index.ts deleted file mode 100644 index 2615ea893..000000000 --- a/extensions/inference-cohere-extension/src/index.ts +++ /dev/null @@ -1,120 +0,0 @@ -/** - * @file This file exports a class that implements the InferenceExtension interface from the @janhq/core package. - * The class provides methods for initializing and stopping a model, and for making inference requests. - * It also subscribes to events emitted by the @janhq/core package and handles new message requests. - * @version 1.0.0 - * @module inference-cohere-extension/src/index - */ - -import { RemoteOAIEngine } from '@janhq/core' -import { PayloadType } from '@janhq/core' -import { ChatCompletionRole } from '@janhq/core' - -declare const SETTINGS: Array -declare const MODELS: Array - -enum Settings { - apiKey = 'cohere-api-key', - chatCompletionsEndPoint = 'chat-completions-endpoint', -} - -enum RoleType { - user = 'USER', - chatbot = 'CHATBOT', - system = 'SYSTEM', -} - -type CoherePayloadType = { - chat_history?: Array<{ role: RoleType; message: string }> - message?: string - preamble?: string -} - -/** - * A class that implements the InferenceExtension interface from the @janhq/core package. - * The class provides methods for initializing and stopping a model, and for making inference requests. - * It also subscribes to events emitted by the @janhq/core package and handles new message requests. - */ -export default class JanInferenceCohereExtension extends RemoteOAIEngine { - inferenceUrl: string = '' - provider: string = 'cohere' - - override async onLoad(): Promise { - super.onLoad() - - // Register Settings - this.registerSettings(SETTINGS) - this.registerModels(MODELS) - - this.apiKey = await this.getSetting(Settings.apiKey, '') - this.inferenceUrl = await this.getSetting( - Settings.chatCompletionsEndPoint, - '' - ) - if (this.inferenceUrl.length === 0) { - SETTINGS.forEach((setting) => { - if (setting.key === Settings.chatCompletionsEndPoint) { - this.inferenceUrl = setting.controllerProps.value as string - } - }) - } - } - - onSettingUpdate(key: string, value: T): void { - if (key === Settings.apiKey) { - this.apiKey = value as string - } else if (key === Settings.chatCompletionsEndPoint) { - if (typeof value !== 'string') return - - if (value.trim().length === 0) { - SETTINGS.forEach((setting) => { - if (setting.key === Settings.chatCompletionsEndPoint) { - this.inferenceUrl = setting.controllerProps.value as string - } - }) - } else { - this.inferenceUrl = value - } - } - } - - transformPayload = (payload: PayloadType): CoherePayloadType => { - if (payload.messages.length === 0) { - return {} - } - - const { messages, ...params } = payload - const convertedData: CoherePayloadType = { - ...params, - chat_history: [], - message: '', - } - messages.forEach((item, index) => { - // Assign the message of the last item to the `message` property - if (index === messages.length - 1) { - convertedData.message = item.content as string - return - } - if (item.role === ChatCompletionRole.User) { - convertedData.chat_history.push({ - role: RoleType.user, - message: item.content as string, - }) - } else if (item.role === ChatCompletionRole.Assistant) { - convertedData.chat_history.push({ - role: RoleType.chatbot, - message: item.content as string, - }) - } else if (item.role === ChatCompletionRole.System) { - convertedData.preamble = item.content as string - } - }) - return convertedData - } - - transformResponse = (data: any) => { - return typeof data === 'object' - ? data.text - : (JSON.parse(data.replace('data: ', '').trim()).text ?? '') - } -} diff --git a/extensions/inference-cohere-extension/tsconfig.json b/extensions/inference-cohere-extension/tsconfig.json deleted file mode 100644 index 2477d58ce..000000000 --- a/extensions/inference-cohere-extension/tsconfig.json +++ /dev/null @@ -1,14 +0,0 @@ -{ - "compilerOptions": { - "target": "es2016", - "module": "ES6", - "moduleResolution": "node", - "outDir": "./dist", - "esModuleInterop": true, - "forceConsistentCasingInFileNames": true, - "strict": false, - "skipLibCheck": true, - "rootDir": "./src" - }, - "include": ["./src"] -} diff --git a/extensions/inference-cohere-extension/webpack.config.js b/extensions/inference-cohere-extension/webpack.config.js deleted file mode 100644 index cd5e65c72..000000000 --- a/extensions/inference-cohere-extension/webpack.config.js +++ /dev/null @@ -1,37 +0,0 @@ -const webpack = require('webpack') -const packageJson = require('./package.json') -const settingJson = require('./resources/settings.json') -const modelsJson = require('./resources/models.json') - -module.exports = { - experiments: { outputModule: true }, - entry: './src/index.ts', // Adjust the entry point to match your project's main file - mode: 'production', - module: { - rules: [ - { - test: /\.tsx?$/, - use: 'ts-loader', - exclude: /node_modules/, - }, - ], - }, - plugins: [ - new webpack.DefinePlugin({ - MODELS: JSON.stringify(modelsJson), - SETTINGS: JSON.stringify(settingJson), - ENGINE: JSON.stringify(packageJson.engine), - }), - ], - output: { - filename: 'index.js', // Adjust the output file name as needed - library: { type: 'module' }, // Specify ESM output format - }, - resolve: { - extensions: ['.ts', '.js'], - }, - optimization: { - minimize: false, - }, - // Add loaders and other configuration as needed for your project -} diff --git a/extensions/inference-cortex-extension/bin/version.txt b/extensions/inference-cortex-extension/bin/version.txt index b0f3d96f8..fad0ae17f 100644 --- a/extensions/inference-cortex-extension/bin/version.txt +++ b/extensions/inference-cortex-extension/bin/version.txt @@ -1 +1 @@ -1.0.8 +1.0.9-rc3 diff --git a/extensions/inference-cortex-extension/download.bat b/extensions/inference-cortex-extension/download.bat index 0e7eef20e..fc359557c 100644 --- a/extensions/inference-cortex-extension/download.bat +++ b/extensions/inference-cortex-extension/download.bat @@ -2,7 +2,7 @@ set BIN_PATH=./bin set SHARED_PATH=./../../electron/shared set /p CORTEX_VERSION=<./bin/version.txt -set ENGINE_VERSION=0.1.42 +set ENGINE_VERSION=0.1.46 @REM Download cortex.llamacpp binaries set DOWNLOAD_URL=https://github.com/janhq/cortex.llamacpp/releases/download/v%ENGINE_VERSION%/cortex.llamacpp-%ENGINE_VERSION%-windows-amd64 @@ -19,8 +19,8 @@ call .\node_modules\.bin\download %DOWNLOAD_URL%-avx.tar.gz -e --strip 1 -o %SHA call .\node_modules\.bin\download %DOWNLOAD_URL%-avx2.tar.gz -e --strip 1 -o %SHARED_PATH%/engines/cortex.llamacpp/windows-amd64-avx2/v%ENGINE_VERSION% call .\node_modules\.bin\download %DOWNLOAD_URL%-avx512.tar.gz -e --strip 1 -o %SHARED_PATH%/engines/cortex.llamacpp/windows-amd64-avx512/v%ENGINE_VERSION% call .\node_modules\.bin\download %DOWNLOAD_URL%-vulkan.tar.gz -e --strip 1 -o %SHARED_PATH%/engines/cortex.llamacpp/windows-amd64-vulkan/v%ENGINE_VERSION% -call .\node_modules\.bin\download %CUDA_DOWNLOAD_URL%/cuda-12-0-windows-amd64.tar.gz -e --strip 1 -o %SHARED_PATH% -call .\node_modules\.bin\download %CUDA_DOWNLOAD_URL%/cuda-11-7-windows-amd64.tar.gz -e --strip 1 -o %SHARED_PATH% +call .\node_modules\.bin\download %CUDA_DOWNLOAD_URL%/cuda-12-0-windows-amd64.tar.gz -e --strip 1 -o %BIN_PATH% +call .\node_modules\.bin\download %CUDA_DOWNLOAD_URL%/cuda-11-7-windows-amd64.tar.gz -e --strip 1 -o %BIN_PATH% move %BIN_PATH%\cortex-server-beta.exe %BIN_PATH%\cortex-server.exe del %BIN_PATH%\cortex-beta.exe diff --git a/extensions/inference-cortex-extension/download.sh b/extensions/inference-cortex-extension/download.sh index b0f3b36e3..0c21e1987 100755 --- a/extensions/inference-cortex-extension/download.sh +++ b/extensions/inference-cortex-extension/download.sh @@ -2,10 +2,11 @@ # Read CORTEX_VERSION CORTEX_VERSION=$(cat ./bin/version.txt) -ENGINE_VERSION=0.1.42 +ENGINE_VERSION=0.1.46 CORTEX_RELEASE_URL="https://github.com/janhq/cortex.cpp/releases/download" ENGINE_DOWNLOAD_URL="https://github.com/janhq/cortex.llamacpp/releases/download/v${ENGINE_VERSION}/cortex.llamacpp-${ENGINE_VERSION}" CUDA_DOWNLOAD_URL="https://github.com/janhq/cortex.llamacpp/releases/download/v${ENGINE_VERSION}" +BIN_PATH=./bin SHARED_PATH="../../electron/shared" # Detect platform OS_TYPE=$(uname) @@ -28,10 +29,8 @@ if [ "$OS_TYPE" == "Linux" ]; then download "${ENGINE_DOWNLOAD_URL}-linux-amd64-noavx-cuda-12-0.tar.gz" -e --strip 1 -o "${SHARED_PATH}/engines/cortex.llamacpp/linux-amd64-noavx-cuda-12-0/v${ENGINE_VERSION}" 1 download "${ENGINE_DOWNLOAD_URL}-linux-amd64-noavx-cuda-11-7.tar.gz" -e --strip 1 -o "${SHARED_PATH}/engines/cortex.llamacpp/linux-amd64-noavx-cuda-11-7/v${ENGINE_VERSION}" 1 download "${ENGINE_DOWNLOAD_URL}-linux-amd64-vulkan.tar.gz" -e --strip 1 -o "${SHARED_PATH}/engines/cortex.llamacpp/linux-amd64-vulkan/v${ENGINE_VERSION}" 1 - download "${CUDA_DOWNLOAD_URL}/cuda-12-0-linux-amd64.tar.gz" -e --strip 1 -o "${SHARED_PATH}" 1 - download "${CUDA_DOWNLOAD_URL}/cuda-11-7-linux-amd64.tar.gz" -e --strip 1 -o "${SHARED_PATH}" 1 - mkdir -p "${SHARED_PATH}/engines/cortex.llamacpp/deps" - touch "${SHARED_PATH}/engines/cortex.llamacpp/deps/keep" + download "${CUDA_DOWNLOAD_URL}/cuda-12-0-linux-amd64.tar.gz" -e --strip 1 -o "${BIN_PATH}" 1 + download "${CUDA_DOWNLOAD_URL}/cuda-11-7-linux-amd64.tar.gz" -e --strip 1 -o "${BIN_PATH}" 1 elif [ "$OS_TYPE" == "Darwin" ]; then # macOS downloads diff --git a/extensions/inference-cortex-extension/package.json b/extensions/inference-cortex-extension/package.json index 507ab4ebc..f191f3071 100644 --- a/extensions/inference-cortex-extension/package.json +++ b/extensions/inference-cortex-extension/package.json @@ -9,12 +9,12 @@ "license": "AGPL-3.0", "scripts": { "test": "jest", - "build": "tsc --module commonjs && rollup -c rollup.config.ts", + "build": "rolldown -c rolldown.config.mjs", "downloadcortex:linux:darwin": "./download.sh", "downloadcortex:win32": "download.bat", "downloadcortex": "run-script-os", - "build:publish:darwin": "rimraf *.tgz --glob && yarn build && npm run downloadcortex && ../../.github/scripts/auto-sign.sh && cpx \"bin/**\" \"dist/bin\" && npm pack && cpx *.tgz ../../pre-install", - "build:publish:win32:linux": "rimraf *.tgz --glob && yarn build && npm run downloadcortex && cpx \"bin/**\" \"dist/bin\" && npm pack && cpx *.tgz ../../pre-install", + "build:publish:darwin": "rimraf *.tgz --glob || true && yarn build && yarn downloadcortex && ../../.github/scripts/auto-sign.sh && cpx \"bin/**\" \"dist/bin\" && npm pack && cpx *.tgz ../../pre-install", + "build:publish:win32:linux": "rimraf *.tgz --glob || true && yarn build && yarn downloadcortex && cpx \"bin/**\" \"dist/bin\" && npm pack && cpx *.tgz ../../pre-install", "build:publish": "run-script-os" }, "exports": { @@ -22,12 +22,7 @@ "./main": "./dist/node/index.cjs.js" }, "devDependencies": { - "@babel/preset-typescript": "^7.24.1", "@jest/globals": "^29.7.0", - "@rollup/plugin-commonjs": "^25.0.7", - "@rollup/plugin-json": "^6.1.0", - "@rollup/plugin-node-resolve": "^15.2.3", - "@rollup/plugin-replace": "^5.0.5", "@types/decompress": "^4.2.7", "@types/jest": "^29.5.12", "@types/node": "^20.11.4", @@ -37,17 +32,13 @@ "download-cli": "^1.1.1", "jest": "^29.7.0", "rimraf": "^3.0.2", - "rollup": "^2.38.5", - "rollup-plugin-define": "^1.0.1", - "rollup-plugin-sourcemaps": "^0.6.3", - "rollup-plugin-typescript2": "^0.36.0", + "rolldown": "1.0.0-beta.1", "run-script-os": "^1.1.6", "ts-jest": "^29.1.2", "typescript": "^5.3.3" }, "dependencies": { - "@janhq/core": "file:../../core", - "cpu-instructions": "^0.0.13", + "@janhq/core": "../../core/package.tgz", "decompress": "^4.2.1", "fetch-retry": "^5.0.6", "ky": "^1.7.2", @@ -69,7 +60,10 @@ "tcp-port-used", "fetch-retry", "@janhq/core", - "decompress", - "cpu-instructions" - ] + "decompress" + ], + "installConfig": { + "hoistingLimits": "workspaces" + }, + "packageManager": "yarn@4.5.3" } diff --git a/extensions/inference-cortex-extension/resources/default_settings.json b/extensions/inference-cortex-extension/resources/default_settings.json index 6a0dcd4a0..a3a93f305 100644 --- a/extensions/inference-cortex-extension/resources/default_settings.json +++ b/extensions/inference-cortex-extension/resources/default_settings.json @@ -1,8 +1,8 @@ [ { "key": "cont_batching", - "title": "Continuous batching", - "description": "The number of parallel operations", + "title": "Continuous Batching", + "description": "Allows processing prompts in parallel with text generation, which usually improves performance.", "controllerType": "checkbox", "controllerProps": { "value": true @@ -10,28 +10,32 @@ }, { "key": "n_parallel", - "title": "Parallel operations", - "description": "The number of parallel operations", + "title": "Parallel Operations", + "description": "Number of prompts that can be processed simultaneously by the model.", "controllerType": "input", "controllerProps": { "value": "4", - "placeholder": "4" + "placeholder": "4", + "type": "number", + "textAlign": "right" } }, { "key": "cpu_threads", "title": "CPU Threads", - "description": "The number of CPU threads to use (when in CPU mode)", + "description": "Number of CPU cores used for model processing when running without GPU.", "controllerType": "input", "controllerProps": { "value": "", - "placeholder": "Number of CPU threads" + "placeholder": "Number of CPU threads", + "type": "number", + "textAlign": "right" } }, { "key": "flash_attn", - "title": "Flash Attention enabled", - "description": "To enable Flash Attention, default is true", + "title": "Flash Attention", + "description": "Optimizes memory usage and speeds up model inference using an efficient attention implementation.", "controllerType": "checkbox", "controllerProps": { "value": true @@ -40,8 +44,8 @@ { "key": "caching_enabled", - "title": "Caching enabled", - "description": "To enable prompt caching or not", + "title": "Caching", + "description": "Stores recent prompts and responses to improve speed when similar questions are asked.", "controllerType": "checkbox", "controllerProps": { "value": true @@ -50,17 +54,30 @@ { "key": "cache_type", "title": "KV Cache Type", - "description": "KV cache type: f16, q8_0, q4_0, default is f16 (change this could break the model).", - "controllerType": "input", + "description": "Controls memory usage and precision trade-off.", + "controllerType": "dropdown", "controllerProps": { - "placeholder": "f16", - "value": "f16" + "value": "f16", + "options": [ + { + "value": "q4_0", + "name": "q4_0" + }, + { + "value": "q8_0", + "name": "q8_0" + }, + { + "value": "f16", + "name": "f16" + } + ] } }, { "key": "use_mmap", - "title": "To enable mmap", - "description": "To enable mmap, default is true", + "title": "MMAP", + "description": "Loads model files more efficiently by mapping them to memory, reducing RAM usage.", "controllerType": "checkbox", "controllerProps": { "value": true diff --git a/extensions/inference-cortex-extension/rolldown.config.mjs b/extensions/inference-cortex-extension/rolldown.config.mjs new file mode 100644 index 000000000..cebfa7190 --- /dev/null +++ b/extensions/inference-cortex-extension/rolldown.config.mjs @@ -0,0 +1,131 @@ +import { defineConfig } from 'rolldown' +import packageJson from './package.json' with { type: 'json' } +import defaultSettingJson from './resources/default_settings.json' with { type: 'json' } +import bakllavaJson from './resources/models/bakllava-1/model.json' with { type: 'json' } +import codeninja7bJson from './resources/models/codeninja-1.0-7b/model.json' with { type: 'json' } +import commandr34bJson from './resources/models/command-r-34b/model.json' with { type: 'json' } +import deepseekCoder13bJson from './resources/models/deepseek-coder-1.3b/model.json' with { type: 'json' } +import deepseekCoder34bJson from './resources/models/deepseek-coder-34b/model.json' with { type: 'json' } +import gemma112bJson from './resources/models/gemma-1.1-2b/model.json' with { type: 'json' } +import gemma117bJson from './resources/models/gemma-1.1-7b/model.json' with { type: 'json' } +import llama2Chat70bJson from './resources/models/llama2-chat-70b/model.json' with { type: 'json' } +import llama2Chat7bJson from './resources/models/llama2-chat-7b/model.json' with { type: 'json' } +import llamacorn1bJson from './resources/models/llamacorn-1.1b/model.json' with { type: 'json' } +import llava13bJson from './resources/models/llava-13b/model.json' with { type: 'json' } +import llava7bJson from './resources/models/llava-7b/model.json' with { type: 'json' } +import mistralIns7bq4Json from './resources/models/mistral-ins-7b-q4/model.json' with { type: 'json' } +import mixtral8x7bInstructJson from './resources/models/mixtral-8x7b-instruct/model.json' with { type: 'json' } +import noromaid7bJson from './resources/models/noromaid-7b/model.json' with { type: 'json' } +import openchat357bJson from './resources/models/openchat-3.5-7b/model.json' with { type: 'json' } +import phi3bJson from './resources/models/phi3-3.8b/model.json' with { type: 'json' } +import phind34bJson from './resources/models/phind-34b/model.json' with { type: 'json' } +import qwen7bJson from './resources/models/qwen-7b/model.json' with { type: 'json' } +import stableZephyr3bJson from './resources/models/stable-zephyr-3b/model.json' with { type: 'json' } +import stealthv127bJson from './resources/models/stealth-v1.2-7b/model.json' with { type: 'json' } +import tinyllama11bJson from './resources/models/tinyllama-1.1b/model.json' with { type: 'json' } +import trinityv127bJson from './resources/models/trinity-v1.2-7b/model.json' with { type: 'json' } +import vistral7bJson from './resources/models/vistral-7b/model.json' with { type: 'json' } +import wizardcoder13bJson from './resources/models/wizardcoder-13b/model.json' with { type: 'json' } +import yi34bJson from './resources/models/yi-34b/model.json' with { type: 'json' } +import llama3Json from './resources/models/llama3-8b-instruct/model.json' with { type: 'json' } +import llama3Hermes8bJson from './resources/models/llama3-hermes-8b/model.json' with { type: 'json' } +import aya8bJson from './resources/models/aya-23-8b/model.json' with { type: 'json' } +import aya35bJson from './resources/models/aya-23-35b/model.json' with { type: 'json' } +import phimediumJson from './resources/models/phi3-medium/model.json' with { type: 'json' } +import codestralJson from './resources/models/codestral-22b/model.json' with { type: 'json' } +import qwen2Json from './resources/models/qwen2-7b/model.json' with { type: 'json' } +import llama318bJson from './resources/models/llama3.1-8b-instruct/model.json' with { type: 'json' } +import llama3170bJson from './resources/models/llama3.1-70b-instruct/model.json' with { type: 'json' } +import gemma22bJson from './resources/models/gemma-2-2b/model.json' with { type: 'json' } +import gemma29bJson from './resources/models/gemma-2-9b/model.json' with { type: 'json' } +import gemma227bJson from './resources/models/gemma-2-27b/model.json' with { type: 'json' } +import llama321bJson from './resources/models/llama3.2-1b-instruct/model.json' with { type: 'json' } +import llama323bJson from './resources/models/llama3.2-3b-instruct/model.json' with { type: 'json' } +import qwen257bJson from './resources/models/qwen2.5-7b-instruct/model.json' with { type: 'json' } +import qwen25coder7bJson from './resources/models/qwen2.5-coder-7b-instruct/model.json' with { type: 'json' } +import qwen25coder14bJson from './resources/models/qwen2.5-coder-14b-instruct/model.json' with { type: 'json' } +import qwen25coder32bJson from './resources/models/qwen2.5-coder-32b-instruct/model.json' with { type: 'json' } +import qwen2514bJson from './resources/models/qwen2.5-14b-instruct/model.json' with { type: 'json' } +import qwen2532bJson from './resources/models/qwen2.5-32b-instruct/model.json' with { type: 'json' } +import qwen2572bJson from './resources/models/qwen2.5-72b-instruct/model.json' with { type: 'json' } + +export default defineConfig([ + { + input: 'src/index.ts', + output: { + format: 'esm', + file: 'dist/index.js', + }, + platform: 'browser', + define: { + MODELS: JSON.stringify([ + bakllavaJson, + codeninja7bJson, + commandr34bJson, + deepseekCoder13bJson, + deepseekCoder34bJson, + gemma112bJson, + gemma117bJson, + llama2Chat70bJson, + llama2Chat7bJson, + llamacorn1bJson, + llava13bJson, + llava7bJson, + mistralIns7bq4Json, + mixtral8x7bInstructJson, + noromaid7bJson, + openchat357bJson, + phi3bJson, + phind34bJson, + qwen7bJson, + stableZephyr3bJson, + stealthv127bJson, + tinyllama11bJson, + trinityv127bJson, + vistral7bJson, + wizardcoder13bJson, + yi34bJson, + llama3Json, + llama3Hermes8bJson, + phimediumJson, + aya8bJson, + aya35bJson, + codestralJson, + qwen2Json, + llama318bJson, + llama3170bJson, + gemma22bJson, + gemma29bJson, + gemma227bJson, + llama321bJson, + llama323bJson, + qwen257bJson, + qwen25coder7bJson, + qwen25coder14bJson, + qwen25coder32bJson, + qwen2514bJson, + qwen2532bJson, + qwen2572bJson, + ]), + NODE: JSON.stringify(`${packageJson.name}/${packageJson.node}`), + SETTINGS: JSON.stringify(defaultSettingJson), + CORTEX_API_URL: JSON.stringify('http://127.0.0.1:39291'), + CORTEX_SOCKET_URL: JSON.stringify('ws://127.0.0.1:39291'), + CORTEX_ENGINE_VERSION: JSON.stringify('v0.1.46'), + }, + }, + { + input: 'src/node/index.ts', + external: ['@janhq/core/node', 'cpu-instructions'], + output: { + format: 'cjs', + file: 'dist/node/index.cjs.js', + sourcemap: false, + inlineDynamicImports: true, + }, + resolve: { + extensions: ['.js', '.ts', '.json'], + }, + platform: 'node', + }, +]) diff --git a/extensions/inference-cortex-extension/rollup.config.ts b/extensions/inference-cortex-extension/rollup.config.ts deleted file mode 100644 index 266281a75..000000000 --- a/extensions/inference-cortex-extension/rollup.config.ts +++ /dev/null @@ -1,177 +0,0 @@ -import resolve from '@rollup/plugin-node-resolve' -import commonjs from '@rollup/plugin-commonjs' -import sourceMaps from 'rollup-plugin-sourcemaps' -import typescript from 'rollup-plugin-typescript2' -import json from '@rollup/plugin-json' -import replace from '@rollup/plugin-replace' -const packageJson = require('./package.json') -const defaultSettingJson = require('./resources/default_settings.json') - -const bakllavaJson = require('./resources/models/bakllava-1/model.json') -const codeninja7bJson = require('./resources/models/codeninja-1.0-7b/model.json') -const commandr34bJson = require('./resources/models/command-r-34b/model.json') -const deepseekCoder13bJson = require('./resources/models/deepseek-coder-1.3b/model.json') -const deepseekCoder34bJson = require('./resources/models/deepseek-coder-34b/model.json') -const gemma112bJson = require('./resources/models/gemma-1.1-2b/model.json') -const gemma117bJson = require('./resources/models/gemma-1.1-7b/model.json') -const llama2Chat70bJson = require('./resources/models/llama2-chat-70b/model.json') -const llama2Chat7bJson = require('./resources/models/llama2-chat-7b/model.json') -const llamacorn1bJson = require('./resources/models/llamacorn-1.1b/model.json') -const llava13bJson = require('./resources/models/llava-13b/model.json') -const llava7bJson = require('./resources/models/llava-7b/model.json') -const mistralIns7bq4Json = require('./resources/models/mistral-ins-7b-q4/model.json') -const mixtral8x7bInstructJson = require('./resources/models/mixtral-8x7b-instruct/model.json') -const noromaid7bJson = require('./resources/models/noromaid-7b/model.json') -const openchat357bJson = require('./resources/models/openchat-3.5-7b/model.json') -const phi3bJson = require('./resources/models/phi3-3.8b/model.json') -const phind34bJson = require('./resources/models/phind-34b/model.json') -const qwen7bJson = require('./resources/models/qwen-7b/model.json') -const stableZephyr3bJson = require('./resources/models/stable-zephyr-3b/model.json') -const stealthv127bJson = require('./resources/models/stealth-v1.2-7b/model.json') -const tinyllama11bJson = require('./resources/models/tinyllama-1.1b/model.json') -const trinityv127bJson = require('./resources/models/trinity-v1.2-7b/model.json') -const vistral7bJson = require('./resources/models/vistral-7b/model.json') -const wizardcoder13bJson = require('./resources/models/wizardcoder-13b/model.json') -const yi34bJson = require('./resources/models/yi-34b/model.json') -const llama3Json = require('./resources/models/llama3-8b-instruct/model.json') -const llama3Hermes8bJson = require('./resources/models/llama3-hermes-8b/model.json') -const aya8bJson = require('./resources/models/aya-23-8b/model.json') -const aya35bJson = require('./resources/models/aya-23-35b/model.json') -const phimediumJson = require('./resources/models/phi3-medium/model.json') -const codestralJson = require('./resources/models/codestral-22b/model.json') -const qwen2Json = require('./resources/models/qwen2-7b/model.json') -const llama318bJson = require('./resources/models/llama3.1-8b-instruct/model.json') -const llama3170bJson = require('./resources/models/llama3.1-70b-instruct/model.json') -const gemma22bJson = require('./resources/models/gemma-2-2b/model.json') -const gemma29bJson = require('./resources/models/gemma-2-9b/model.json') -const gemma227bJson = require('./resources/models/gemma-2-27b/model.json') -const llama321bJson = require('./resources/models/llama3.2-1b-instruct/model.json') -const llama323bJson = require('./resources/models/llama3.2-3b-instruct/model.json') -const qwen257bJson = require('./resources/models/qwen2.5-7b-instruct/model.json') -const qwen25coder7bJson = require('./resources/models/qwen2.5-coder-7b-instruct/model.json') -const qwen25coder14bJson = require('./resources/models/qwen2.5-coder-14b-instruct/model.json') -const qwen25coder32bJson = require('./resources/models/qwen2.5-coder-32b-instruct/model.json') -const qwen2514bJson = require('./resources/models/qwen2.5-14b-instruct/model.json') -const qwen2532bJson = require('./resources/models/qwen2.5-32b-instruct/model.json') -const qwen2572bJson = require('./resources/models/qwen2.5-72b-instruct/model.json') - -export default [ - { - input: `src/index.ts`, - output: [{ file: packageJson.main, format: 'es', sourcemap: true }], - // Indicate here external modules you don't wanna include in your bundle (i.e.: 'lodash') - external: [], - watch: { - include: 'src/**', - }, - plugins: [ - replace({ - preventAssignment: true, - MODELS: JSON.stringify([ - bakllavaJson, - codeninja7bJson, - commandr34bJson, - deepseekCoder13bJson, - deepseekCoder34bJson, - gemma112bJson, - gemma117bJson, - llama2Chat70bJson, - llama2Chat7bJson, - llamacorn1bJson, - llava13bJson, - llava7bJson, - mistralIns7bq4Json, - mixtral8x7bInstructJson, - noromaid7bJson, - openchat357bJson, - phi3bJson, - phind34bJson, - qwen7bJson, - stableZephyr3bJson, - stealthv127bJson, - tinyllama11bJson, - trinityv127bJson, - vistral7bJson, - wizardcoder13bJson, - yi34bJson, - llama3Json, - llama3Hermes8bJson, - phimediumJson, - aya8bJson, - aya35bJson, - codestralJson, - qwen2Json, - llama318bJson, - llama3170bJson, - gemma22bJson, - gemma29bJson, - gemma227bJson, - llama321bJson, - llama323bJson, - qwen257bJson, - qwen25coder7bJson, - qwen25coder14bJson, - qwen25coder32bJson, - qwen2514bJson, - qwen2532bJson, - qwen2572bJson, - ]), - NODE: JSON.stringify(`${packageJson.name}/${packageJson.node}`), - SETTINGS: JSON.stringify(defaultSettingJson), - CORTEX_API_URL: JSON.stringify('http://127.0.0.1:39291'), - CORTEX_SOCKET_URL: JSON.stringify('ws://127.0.0.1:39291'), - CORTEX_ENGINE_VERSION: JSON.stringify('v0.1.42'), - }), - // Allow json resolution - json(), - // Compile TypeScript files - typescript({ - useTsconfigDeclarationDir: true, - exclude: ['**/__tests__', '**/*.test.ts'], - }), - // Compile TypeScript files - // Allow bundling cjs modules (unlike webpack, rollup doesn't understand cjs) - commonjs(), - // Allow node_modules resolution, so you can use 'external' to control - // which external modules to include in the bundle - // https://github.com/rollup/rollup-plugin-node-resolve#usage - resolve({ - extensions: ['.js', '.ts', '.svelte'], - browser: true, - }), - - // Resolve source maps to the original source - sourceMaps(), - ], - }, - { - input: `src/node/index.ts`, - output: [ - { file: 'dist/node/index.cjs.js', format: 'cjs', sourcemap: true }, - ], - // Indicate here external modules you don't wanna include in your bundle (i.e.: 'lodash') - external: ['@janhq/core/node', 'cpu-instructions'], - watch: { - include: 'src/node/**', - }, - plugins: [ - // Allow json resolution - json(), - // Compile TypeScript files - typescript({ - useTsconfigDeclarationDir: true, - exclude: ['**/__tests__', '**/*.test.ts'], - }), - // Allow bundling cjs modules (unlike webpack, rollup doesn't understand cjs) - commonjs(), - // Allow node_modules resolution, so you can use 'external' to control - // which external modules to include in the bundle - // https://github.com/rollup/rollup-plugin-node-resolve#usage - resolve({ - extensions: ['.ts', '.js', '.json'], - }), - // Resolve source maps to the original source - sourceMaps(), - ], - }, -] diff --git a/extensions/inference-cortex-extension/src/@types/global.d.ts b/extensions/inference-cortex-extension/src/@types/global.d.ts index 139d836a5..2de432c29 100644 --- a/extensions/inference-cortex-extension/src/@types/global.d.ts +++ b/extensions/inference-cortex-extension/src/@types/global.d.ts @@ -2,14 +2,5 @@ declare const NODE: string declare const CORTEX_API_URL: string declare const CORTEX_SOCKET_URL: string declare const CORTEX_ENGINE_VERSION: string -declare const SETTINGS: Array -declare const MODELS: Array - -/** - * The response from the initModel function. - * @property error - An error message if the model fails to load. - */ -interface ModelOperationResponse { - error?: any - modelFile?: string -} +declare const SETTINGS: any +declare const MODELS: any diff --git a/extensions/inference-cortex-extension/src/babel.config.js b/extensions/inference-cortex-extension/src/babel.config.js deleted file mode 100644 index befbdd148..000000000 --- a/extensions/inference-cortex-extension/src/babel.config.js +++ /dev/null @@ -1,6 +0,0 @@ -module.exports = { - presets: [ - ['@babel/preset-env', { targets: { node: 'current' } }], - '@babel/preset-typescript', - ], -} diff --git a/extensions/inference-cortex-extension/src/index.ts b/extensions/inference-cortex-extension/src/index.ts index 5ba28ac57..84cc49b94 100644 --- a/extensions/inference-cortex-extension/src/index.ts +++ b/extensions/inference-cortex-extension/src/index.ts @@ -9,6 +9,7 @@ import { Model, executeOnMain, + EngineEvent, systemInformation, joinPath, LocalOAIEngine, @@ -18,9 +19,7 @@ import { fs, events, ModelEvent, - SystemInformation, dirName, - AppConfigurationEventName, } from '@janhq/core' import PQueue from 'p-queue' import ky from 'ky' @@ -112,27 +111,15 @@ export default class JanInferenceCortexExtension extends LocalOAIEngine { ) if (!Number.isNaN(threads_number)) this.cpu_threads = threads_number - this.queue.add(() => this.clean()) - // Run the process watchdog const systemInfo = await systemInformation() this.queue.add(() => executeOnMain(NODE, 'run', systemInfo)) this.queue.add(() => this.healthz()) - this.queue.add(() => this.setDefaultEngine(systemInfo)) this.subscribeToEvents() window.addEventListener('beforeunload', () => { this.clean() }) - - const currentMode = systemInfo.gpuSetting?.run_mode - - events.on(AppConfigurationEventName.OnConfigurationUpdate, async () => { - const systemInfo = await systemInformation() - // Update run mode on settings update - if (systemInfo.gpuSetting?.run_mode !== currentMode) - this.queue.add(() => this.setDefaultEngine(systemInfo)) - }) } async onUnload() { @@ -246,7 +233,7 @@ export default class JanInferenceCortexExtension extends LocalOAIEngine { * Do health check on cortex.cpp * @returns */ - private healthz(): Promise { + private async healthz(): Promise { return ky .get(`${CORTEX_API_URL}/healthz`, { retry: { @@ -258,36 +245,11 @@ export default class JanInferenceCortexExtension extends LocalOAIEngine { .then(() => {}) } - /** - * Set default engine variant on launch - */ - private async setDefaultEngine(systemInfo: SystemInformation) { - const variant = await executeOnMain( - NODE, - 'engineVariant', - systemInfo.gpuSetting - ) - return ( - ky - // Fallback support for legacy API - .post( - `${CORTEX_API_URL}/v1/engines/${InferenceEngine.cortex_llamacpp}/default?version=${CORTEX_ENGINE_VERSION}&variant=${variant}`, - { - json: { - version: CORTEX_ENGINE_VERSION, - variant, - }, - } - ) - .then(() => {}) - ) - } - /** * Clean cortex processes * @returns */ - private clean(): Promise { + private async clean(): Promise { return ky .delete(`${CORTEX_API_URL}/processmanager/destroy`, { timeout: 2000, // maximum 2 seconds @@ -311,6 +273,7 @@ export default class JanInferenceCortexExtension extends LocalOAIEngine { this.socket.addEventListener('message', (event) => { const data = JSON.parse(event.data) + const transferred = data.task.items.reduce( (acc: number, cur: any) => acc + cur.downloadedBytes, 0 @@ -330,17 +293,26 @@ export default class JanInferenceCortexExtension extends LocalOAIEngine { transferred: transferred, total: total, }, + downloadType: data.task.type, } ) - // Update models list from Hub - if (data.type === DownloadTypes.DownloadSuccess) { - // Delay for the state update from cortex.cpp - // Just to be sure - setTimeout(() => { - events.emit(ModelEvent.OnModelsUpdate, { - fetch: true, - }) - }, 500) + + if (data.task.type === 'Engine') { + events.emit(EngineEvent.OnEngineUpdate, { + type: DownloadTypes[data.type as keyof typeof DownloadTypes], + percent: percent, + id: data.task.id, + }) + } else { + if (data.type === DownloadTypes.DownloadSuccess) { + // Delay for the state update from cortex.cpp + // Just to be sure + setTimeout(() => { + events.emit(ModelEvent.OnModelsUpdate, { + fetch: true, + }) + }, 500) + } } }) diff --git a/extensions/inference-cortex-extension/src/node/index.test.ts b/extensions/inference-cortex-extension/src/node/index.test.ts index ff9d7c2fc..bdfd99d03 100644 --- a/extensions/inference-cortex-extension/src/node/index.test.ts +++ b/extensions/inference-cortex-extension/src/node/index.test.ts @@ -54,17 +54,6 @@ jest.mock('child_process', () => ({ }, })) -jest.mock('./execute', () => ({ - executableCortexFile: () => { - return { - enginePath: 'enginePath', - executablePath: 'executablePath', - cudaVisibleDevices: 'cudaVisibleDevices', - vkVisibleDevices: 'vkVisibleDevices', - } - }, -})) - import index from './index' describe('dispose', () => { diff --git a/extensions/inference-cortex-extension/src/node/index.ts b/extensions/inference-cortex-extension/src/node/index.ts index a13bf6028..420c84b6e 100644 --- a/extensions/inference-cortex-extension/src/node/index.ts +++ b/extensions/inference-cortex-extension/src/node/index.ts @@ -1,7 +1,12 @@ import path from 'path' -import { getJanDataFolderPath, log, SystemInformation } from '@janhq/core/node' -import { engineVariant, executableCortexFile } from './execute' +import { + appResourcePath, + getJanDataFolderPath, + log, + SystemInformation, +} from '@janhq/core/node' import { ProcessWatchdog } from './watchdog' +import { readdir, symlink } from 'fs/promises' // The HOST address to use for the Nitro subprocess const LOCAL_PORT = '39291' @@ -15,21 +20,14 @@ function run(systemInfo?: SystemInformation): Promise { log(`[CORTEX]:: Spawning cortex subprocess...`) return new Promise(async (resolve, reject) => { - let executableOptions = executableCortexFile( - // If ngl is not set or equal to 0, run on CPU with correct instructions - systemInfo?.gpuSetting - ? { - ...systemInfo.gpuSetting, - run_mode: systemInfo.gpuSetting.run_mode, - } - : undefined - ) + let gpuVisibleDevices = systemInfo?.gpuSetting?.gpus_in_use.join(',') ?? '' + let binaryName = `cortex-server${process.platform === 'win32' ? '.exe' : ''}` + const binPath = path.join(__dirname, '..', 'bin') + const executablePath = path.join(binPath, binaryName) + const sharedPath = path.join(appResourcePath(), 'shared') // Execute the binary - log(`[CORTEX]:: Spawn cortex at path: ${executableOptions.executablePath}`) - log(`[CORTEX]:: Cortex engine path: ${executableOptions.enginePath}`) - - addEnvPaths(executableOptions.enginePath) + log(`[CORTEX]:: Spawn cortex at path: ${executablePath}`) const dataFolderPath = getJanDataFolderPath() if (watchdog) { @@ -37,7 +35,7 @@ function run(systemInfo?: SystemInformation): Promise { } watchdog = new ProcessWatchdog( - executableOptions.executablePath, + executablePath, [ '--start-server', '--port', @@ -48,16 +46,15 @@ function run(systemInfo?: SystemInformation): Promise { dataFolderPath, ], { - cwd: executableOptions.enginePath, env: { ...process.env, - ENGINE_PATH: executableOptions.enginePath, - CUDA_VISIBLE_DEVICES: executableOptions.cudaVisibleDevices, + CUDA_VISIBLE_DEVICES: gpuVisibleDevices, // Vulkan - Support 1 device at a time for now - ...(executableOptions.vkVisibleDevices?.length > 0 && { - GGML_VULKAN_DEVICE: executableOptions.vkVisibleDevices[0], + ...(gpuVisibleDevices?.length > 0 && { + GGML_VK_VISIBLE_DEVICES: gpuVisibleDevices, }), }, + cwd: sharedPath, } ) watchdog.start() @@ -74,18 +71,6 @@ function dispose() { watchdog?.terminate() } -function addEnvPaths(dest: string) { - // Add engine path to the PATH and LD_LIBRARY_PATH - if (process.platform === 'win32') { - process.env.PATH = (process.env.PATH || '').concat(path.delimiter, dest) - } else { - process.env.LD_LIBRARY_PATH = (process.env.LD_LIBRARY_PATH || '').concat( - path.delimiter, - dest - ) - } -} - /** * Cortex process info */ @@ -96,5 +81,4 @@ export interface CortexProcessInfo { export default { run, dispose, - engineVariant, } diff --git a/extensions/inference-cortex-extension/tsconfig.json b/extensions/inference-cortex-extension/tsconfig.json index af00a035a..b10e77d83 100644 --- a/extensions/inference-cortex-extension/tsconfig.json +++ b/extensions/inference-cortex-extension/tsconfig.json @@ -5,11 +5,7 @@ "module": "esnext", "strict": true, "sourceMap": true, - "declaration": true, - "allowSyntheticDefaultImports": true, - "experimentalDecorators": true, - "emitDecoratorMetadata": true, - "declarationDir": "dist/types", + "esModuleInterop": true, "outDir": "dist", "importHelpers": true, "typeRoots": ["node_modules/@types"] diff --git a/extensions/inference-groq-extension/README.md b/extensions/inference-groq-extension/README.md deleted file mode 100644 index f9690da09..000000000 --- a/extensions/inference-groq-extension/README.md +++ /dev/null @@ -1,75 +0,0 @@ -# Create a Jan Extension using Typescript - -Use this template to bootstrap the creation of a TypeScript Jan extension. 🚀 - -## Create Your Own Extension - -To create your own extension, you can use this repository as a template! Just follow the below instructions: - -1. Click the Use this template button at the top of the repository -2. Select Create a new repository -3. Select an owner and name for your new repository -4. Click Create repository -5. Clone your new repository - -## Initial Setup - -After you've cloned the repository to your local machine or codespace, you'll need to perform some initial setup steps before you can develop your extension. - -> [!NOTE] -> -> You'll need to have a reasonably modern version of -> [Node.js](https://nodejs.org) handy. If you are using a version manager like -> [`nodenv`](https://github.com/nodenv/nodenv) or -> [`nvm`](https://github.com/nvm-sh/nvm), you can run `nodenv install` in the -> root of your repository to install the version specified in -> [`package.json`](./package.json). Otherwise, 20.x or later should work! - -1. :hammer_and_wrench: Install the dependencies - - ```bash - npm install - ``` - -1. :building_construction: Package the TypeScript for distribution - - ```bash - npm run bundle - ``` - -1. :white_check_mark: Check your artifact - - There will be a tgz file in your extension directory now - -## Update the Extension Metadata - -The [`package.json`](package.json) file defines metadata about your extension, such as -extension name, main entry, description and version. - -When you copy this repository, update `package.json` with the name, description for your extension. - -## Update the Extension Code - -The [`src/`](./src/) directory is the heart of your extension! This contains the -source code that will be run when your extension functions are invoked. You can replace the -contents of this directory with your own code. - -There are a few things to keep in mind when writing your extension code: - -- Most Jan Extension functions are processed asynchronously. - In `index.ts`, you will see that the extension function will return a `Promise`. - - ```typescript - import { events, MessageEvent, MessageRequest } from '@janhq/core' - - function onStart(): Promise { - return events.on(MessageEvent.OnMessageSent, (data: MessageRequest) => - this.inference(data) - ) - } - ``` - - For more information about the Jan Extension Core module, see the - [documentation](https://github.com/janhq/jan/blob/main/core/README.md). - -So, what are you waiting for? Go ahead and start customizing your extension! diff --git a/extensions/inference-groq-extension/package.json b/extensions/inference-groq-extension/package.json deleted file mode 100644 index 509cb7611..000000000 --- a/extensions/inference-groq-extension/package.json +++ /dev/null @@ -1,41 +0,0 @@ -{ - "name": "@janhq/inference-groq-extension", - "productName": "Groq Inference Engine", - "version": "1.0.1", - "description": "This extension enables fast Groq chat completion API calls", - "main": "dist/index.js", - "module": "dist/module.js", - "author": "Carsen Klock & Jan", - "license": "AGPL-3.0", - "scripts": { - "build": "tsc -b . && webpack --config webpack.config.js", - "build:publish": "rimraf *.tgz --glob && npm run build && npm pack && cpx *.tgz ../../pre-install" - }, - "exports": { - ".": "./dist/index.js", - "./main": "./dist/module.js" - }, - "devDependencies": { - "cpx": "^1.5.0", - "rimraf": "^3.0.2", - "webpack": "^5.88.2", - "webpack-cli": "^5.1.4", - "ts-loader": "^9.5.0" - }, - "dependencies": { - "@janhq/core": "file:../../core", - "fetch-retry": "^5.0.6", - "ulidx": "^2.3.0" - }, - "engines": { - "node": ">=18.0.0" - }, - "files": [ - "dist/*", - "package.json", - "README.md" - ], - "bundleDependencies": [ - "fetch-retry" - ] -} diff --git a/extensions/inference-groq-extension/resources/settings.json b/extensions/inference-groq-extension/resources/settings.json deleted file mode 100644 index 767fec0ba..000000000 --- a/extensions/inference-groq-extension/resources/settings.json +++ /dev/null @@ -1,24 +0,0 @@ -[ - { - "key": "groq-api-key", - "title": "API Key", - "description": "The Groq API uses API keys for authentication. Visit your [API Keys](https://console.groq.com/keys) page to retrieve the API key you'll use in your requests.", - "controllerType": "input", - "controllerProps": { - "placeholder": "Insert API Key", - "value": "", - "type": "password", - "inputActions": ["unobscure", "copy"] - } - }, - { - "key": "chat-completions-endpoint", - "title": "Chat Completions Endpoint", - "description": "The endpoint to use for chat completions. See the [Groq documentation](https://console.groq.com/docs/openai) for more information.", - "controllerType": "input", - "controllerProps": { - "placeholder": "https://api.groq.com/openai/v1/chat/completions", - "value": "https://api.groq.com/openai/v1/chat/completions" - } - } -] diff --git a/extensions/inference-groq-extension/src/index.ts b/extensions/inference-groq-extension/src/index.ts deleted file mode 100644 index eafb7fe8a..000000000 --- a/extensions/inference-groq-extension/src/index.ts +++ /dev/null @@ -1,67 +0,0 @@ -/** - * @file This file exports a class that implements the InferenceExtension interface from the @janhq/core package. - * The class provides methods for initializing and stopping a model, and for making inference requests. - * It also subscribes to events emitted by the @janhq/core package and handles new message requests. - * @version 1.0.0 - * @module inference-groq-extension/src/index - */ - -import { RemoteOAIEngine, SettingComponentProps } from '@janhq/core' - -declare const SETTINGS: Array -declare const MODELS: Array - -enum Settings { - apiKey = 'groq-api-key', - chatCompletionsEndPoint = 'chat-completions-endpoint', -} -/** - * A class that implements the InferenceExtension interface from the @janhq/core package. - * The class provides methods for initializing and stopping a model, and for making inference requests. - * It also subscribes to events emitted by the @janhq/core package and handles new message requests. - */ -export default class JanInferenceGroqExtension extends RemoteOAIEngine { - inferenceUrl: string = '' - provider = 'groq' - - override async onLoad(): Promise { - super.onLoad() - - // Register Settings - this.registerSettings(SETTINGS) - this.registerModels(MODELS) - - // Retrieve API Key Setting - this.apiKey = await this.getSetting(Settings.apiKey, '') - this.inferenceUrl = await this.getSetting( - Settings.chatCompletionsEndPoint, - '' - ) - - if (this.inferenceUrl.length === 0) { - SETTINGS.forEach((setting) => { - if (setting.key === Settings.chatCompletionsEndPoint) { - this.inferenceUrl = setting.controllerProps.value as string - } - }) - } - } - - onSettingUpdate(key: string, value: T): void { - if (key === Settings.apiKey) { - this.apiKey = value as string - } else if (key === Settings.chatCompletionsEndPoint) { - if (typeof value !== 'string') return - - if (value.trim().length === 0) { - SETTINGS.forEach((setting) => { - if (setting.key === Settings.chatCompletionsEndPoint) { - this.inferenceUrl = setting.controllerProps.value as string - } - }) - } else { - this.inferenceUrl = value - } - } - } -} diff --git a/extensions/inference-groq-extension/tsconfig.json b/extensions/inference-groq-extension/tsconfig.json deleted file mode 100644 index 2477d58ce..000000000 --- a/extensions/inference-groq-extension/tsconfig.json +++ /dev/null @@ -1,14 +0,0 @@ -{ - "compilerOptions": { - "target": "es2016", - "module": "ES6", - "moduleResolution": "node", - "outDir": "./dist", - "esModuleInterop": true, - "forceConsistentCasingInFileNames": true, - "strict": false, - "skipLibCheck": true, - "rootDir": "./src" - }, - "include": ["./src"] -} diff --git a/extensions/inference-groq-extension/webpack.config.js b/extensions/inference-groq-extension/webpack.config.js deleted file mode 100644 index 199dee42c..000000000 --- a/extensions/inference-groq-extension/webpack.config.js +++ /dev/null @@ -1,37 +0,0 @@ -const webpack = require('webpack') -const packageJson = require('./package.json') -const settingJson = require('./resources/settings.json') -const modelsJson = require('./resources/models.json') - -module.exports = { - experiments: { outputModule: true }, - entry: './src/index.ts', // Adjust the entry point to match your project's main file - mode: 'production', - module: { - rules: [ - { - test: /\.tsx?$/, - use: 'ts-loader', - exclude: /node_modules/, - }, - ], - }, - plugins: [ - new webpack.DefinePlugin({ - MODELS: JSON.stringify(modelsJson), - SETTINGS: JSON.stringify(settingJson), - MODULE: JSON.stringify(`${packageJson.name}/${packageJson.module}`), - }), - ], - output: { - filename: 'index.js', // Adjust the output file name as needed - library: { type: 'module' }, // Specify ESM output format - }, - resolve: { - extensions: ['.ts', '.js'], - }, - optimization: { - minimize: false, - }, - // Add loaders and other configuration as needed for your project -} diff --git a/extensions/inference-martian-extension/README.md b/extensions/inference-martian-extension/README.md deleted file mode 100644 index 5b8e898d7..000000000 --- a/extensions/inference-martian-extension/README.md +++ /dev/null @@ -1,79 +0,0 @@ -# Martian Engine Extension - -Created using Jan extension example - -# Create a Jan Extension using Typescript - -Use this template to bootstrap the creation of a TypeScript Jan extension. 🚀 - -## Create Your Own Extension - -To create your own extension, you can use this repository as a template! Just follow the below instructions: - -1. Click the Use this template button at the top of the repository -2. Select Create a new repository -3. Select an owner and name for your new repository -4. Click Create repository -5. Clone your new repository - -## Initial Setup - -After you've cloned the repository to your local machine or codespace, you'll need to perform some initial setup steps before you can develop your extension. - -> [!NOTE] -> -> You'll need to have a reasonably modern version of -> [Node.js](https://nodejs.org) handy. If you are using a version manager like -> [`nodenv`](https://github.com/nodenv/nodenv) or -> [`nvm`](https://github.com/nvm-sh/nvm), you can run `nodenv install` in the -> root of your repository to install the version specified in -> [`package.json`](./package.json). Otherwise, 20.x or later should work! - -1. :hammer_and_wrench: Install the dependencies - - ```bash - npm install - ``` - -1. :building_construction: Package the TypeScript for distribution - - ```bash - npm run bundle - ``` - -1. :white_check_mark: Check your artifact - - There will be a tgz file in your extension directory now - -## Update the Extension Metadata - -The [`package.json`](package.json) file defines metadata about your extension, such as -extension name, main entry, description and version. - -When you copy this repository, update `package.json` with the name, description for your extension. - -## Update the Extension Code - -The [`src/`](./src/) directory is the heart of your extension! This contains the -source code that will be run when your extension functions are invoked. You can replace the -contents of this directory with your own code. - -There are a few things to keep in mind when writing your extension code: - -- Most Jan Extension functions are processed asynchronously. - In `index.ts`, you will see that the extension function will return a `Promise`. - - ```typescript - import { events, MessageEvent, MessageRequest } from '@janhq/core' - - function onStart(): Promise { - return events.on(MessageEvent.OnMessageSent, (data: MessageRequest) => - this.inference(data) - ) - } - ``` - - For more information about the Jan Extension Core module, see the - [documentation](https://github.com/janhq/jan/blob/main/core/README.md). - -So, what are you waiting for? Go ahead and start customizing your extension! diff --git a/extensions/inference-martian-extension/package.json b/extensions/inference-martian-extension/package.json deleted file mode 100644 index 15d392b9c..000000000 --- a/extensions/inference-martian-extension/package.json +++ /dev/null @@ -1,42 +0,0 @@ -{ - "name": "@janhq/inference-martian-extension", - "productName": "Martian Inference Engine", - "version": "1.0.1", - "description": "This extension enables Martian chat completion API calls", - "main": "dist/index.js", - "module": "dist/module.js", - "engine": "martian", - "author": "Jan ", - "license": "AGPL-3.0", - "scripts": { - "build": "tsc -b . && webpack --config webpack.config.js", - "build:publish": "rimraf *.tgz --glob && yarn build && npm pack && cpx *.tgz ../../pre-install" - }, - "exports": { - ".": "./dist/index.js", - "./main": "./dist/module.js" - }, - "devDependencies": { - "cpx": "^1.5.0", - "rimraf": "^3.0.2", - "webpack": "^5.88.2", - "webpack-cli": "^5.1.4", - "ts-loader": "^9.5.0" - }, - "dependencies": { - "@janhq/core": "file:../../core", - "fetch-retry": "^5.0.6", - "ulidx": "^2.3.0" - }, - "engines": { - "node": ">=18.0.0" - }, - "files": [ - "dist/*", - "package.json", - "README.md" - ], - "bundleDependencies": [ - "fetch-retry" - ] -} diff --git a/extensions/inference-martian-extension/resources/settings.json b/extensions/inference-martian-extension/resources/settings.json deleted file mode 100644 index 6825099f5..000000000 --- a/extensions/inference-martian-extension/resources/settings.json +++ /dev/null @@ -1,24 +0,0 @@ -[ - { - "key": "martian-api-key", - "title": "API Key", - "description": "The Martian API uses API keys for authentication. Visit your [API Keys](https://withmartian.com/dashboard) page to retrieve the API key you'll use in your requests.", - "controllerType": "input", - "controllerProps": { - "placeholder": "Insert API Key", - "value": "", - "type": "password", - "inputActions": ["unobscure", "copy"] - } - }, - { - "key": "chat-completions-endpoint", - "title": "Chat Completions Endpoint", - "description": "The endpoint to use for chat completions. See the [Martian API documentation](https://docs.withmartian.com/martian-model-router/getting-started/quickstart-integrating-martian-into-your-codebase) for more information.", - "controllerType": "input", - "controllerProps": { - "placeholder": "https://withmartian.com/api/openai/v1/chat/completions", - "value": "https://withmartian.com/api/openai/v1/chat/completions" - } - } -] diff --git a/extensions/inference-martian-extension/src/index.ts b/extensions/inference-martian-extension/src/index.ts deleted file mode 100644 index f59a6b7fc..000000000 --- a/extensions/inference-martian-extension/src/index.ts +++ /dev/null @@ -1,66 +0,0 @@ -/** - * @file This file exports a class that implements the InferenceExtension interface from the @janhq/core package. - * The class provides methods for initializing and stopping a model, and for making inference requests. - * It also subscribes to events emitted by the @janhq/core package and handles new message requests. - * @version 1.0.0 - * @module inference-martian-extension/src/index - */ - -import { RemoteOAIEngine, SettingComponentProps } from '@janhq/core' - -declare const SETTINGS: Array -declare const MODELS: Array - -enum Settings { - apiKey = 'martian-api-key', - chatCompletionsEndPoint = 'chat-completions-endpoint', -} - -/** - * A class that implements the InferenceExtension interface from the @janhq/core package. - * The class provides methods for initializing and stopping a model, and for making inference requests. - * It also subscribes to events emitted by the @janhq/core package and handles new message requests. - */ -export default class JanInferenceMartianExtension extends RemoteOAIEngine { - inferenceUrl: string = '' - provider: string = 'martian' - - override async onLoad(): Promise { - super.onLoad() - - // Register Settings - this.registerSettings(SETTINGS) - this.registerModels(MODELS) - - this.apiKey = await this.getSetting(Settings.apiKey, '') - this.inferenceUrl = await this.getSetting( - Settings.chatCompletionsEndPoint, - '' - ) - if (this.inferenceUrl.length === 0) { - SETTINGS.forEach((setting) => { - if (setting.key === Settings.chatCompletionsEndPoint) { - this.inferenceUrl = setting.controllerProps.value as string - } - }) - } - } - - onSettingUpdate(key: string, value: T): void { - if (key === Settings.apiKey) { - this.apiKey = value as string - } else if (key === Settings.chatCompletionsEndPoint) { - if (typeof value !== 'string') return - - if (value.trim().length === 0) { - SETTINGS.forEach((setting) => { - if (setting.key === Settings.chatCompletionsEndPoint) { - this.inferenceUrl = setting.controllerProps.value as string - } - }) - } else { - this.inferenceUrl = value - } - } - } -} diff --git a/extensions/inference-martian-extension/tsconfig.json b/extensions/inference-martian-extension/tsconfig.json deleted file mode 100644 index 2477d58ce..000000000 --- a/extensions/inference-martian-extension/tsconfig.json +++ /dev/null @@ -1,14 +0,0 @@ -{ - "compilerOptions": { - "target": "es2016", - "module": "ES6", - "moduleResolution": "node", - "outDir": "./dist", - "esModuleInterop": true, - "forceConsistentCasingInFileNames": true, - "strict": false, - "skipLibCheck": true, - "rootDir": "./src" - }, - "include": ["./src"] -} diff --git a/extensions/inference-martian-extension/webpack.config.js b/extensions/inference-martian-extension/webpack.config.js deleted file mode 100644 index cd5e65c72..000000000 --- a/extensions/inference-martian-extension/webpack.config.js +++ /dev/null @@ -1,37 +0,0 @@ -const webpack = require('webpack') -const packageJson = require('./package.json') -const settingJson = require('./resources/settings.json') -const modelsJson = require('./resources/models.json') - -module.exports = { - experiments: { outputModule: true }, - entry: './src/index.ts', // Adjust the entry point to match your project's main file - mode: 'production', - module: { - rules: [ - { - test: /\.tsx?$/, - use: 'ts-loader', - exclude: /node_modules/, - }, - ], - }, - plugins: [ - new webpack.DefinePlugin({ - MODELS: JSON.stringify(modelsJson), - SETTINGS: JSON.stringify(settingJson), - ENGINE: JSON.stringify(packageJson.engine), - }), - ], - output: { - filename: 'index.js', // Adjust the output file name as needed - library: { type: 'module' }, // Specify ESM output format - }, - resolve: { - extensions: ['.ts', '.js'], - }, - optimization: { - minimize: false, - }, - // Add loaders and other configuration as needed for your project -} diff --git a/extensions/inference-mistral-extension/README.md b/extensions/inference-mistral-extension/README.md deleted file mode 100644 index adb36558c..000000000 --- a/extensions/inference-mistral-extension/README.md +++ /dev/null @@ -1,79 +0,0 @@ -# Mistral Engine Extension - -Created using Jan extension example - -# Create a Jan Extension using Typescript - -Use this template to bootstrap the creation of a TypeScript Jan extension. 🚀 - -## Create Your Own Extension - -To create your own extension, you can use this repository as a template! Just follow the below instructions: - -1. Click the Use this template button at the top of the repository -2. Select Create a new repository -3. Select an owner and name for your new repository -4. Click Create repository -5. Clone your new repository - -## Initial Setup - -After you've cloned the repository to your local machine or codespace, you'll need to perform some initial setup steps before you can develop your extension. - -> [!NOTE] -> -> You'll need to have a reasonably modern version of -> [Node.js](https://nodejs.org) handy. If you are using a version manager like -> [`nodenv`](https://github.com/nodenv/nodenv) or -> [`nvm`](https://github.com/nvm-sh/nvm), you can run `nodenv install` in the -> root of your repository to install the version specified in -> [`package.json`](./package.json). Otherwise, 20.x or later should work! - -1. :hammer_and_wrench: Install the dependencies - - ```bash - npm install - ``` - -1. :building_construction: Package the TypeScript for distribution - - ```bash - npm run bundle - ``` - -1. :white_check_mark: Check your artifact - - There will be a tgz file in your extension directory now - -## Update the Extension Metadata - -The [`package.json`](package.json) file defines metadata about your extension, such as -extension name, main entry, description and version. - -When you copy this repository, update `package.json` with the name, description for your extension. - -## Update the Extension Code - -The [`src/`](./src/) directory is the heart of your extension! This contains the -source code that will be run when your extension functions are invoked. You can replace the -contents of this directory with your own code. - -There are a few things to keep in mind when writing your extension code: - -- Most Jan Extension functions are processed asynchronously. - In `index.ts`, you will see that the extension function will return a `Promise`. - - ```typescript - import { events, MessageEvent, MessageRequest } from '@janhq/core' - - function onStart(): Promise { - return events.on(MessageEvent.OnMessageSent, (data: MessageRequest) => - this.inference(data) - ) - } - ``` - - For more information about the Jan Extension Core module, see the - [documentation](https://github.com/janhq/jan/blob/main/core/README.md). - -So, what are you waiting for? Go ahead and start customizing your extension! diff --git a/extensions/inference-mistral-extension/package.json b/extensions/inference-mistral-extension/package.json deleted file mode 100644 index 7cdb61253..000000000 --- a/extensions/inference-mistral-extension/package.json +++ /dev/null @@ -1,43 +0,0 @@ -{ - "name": "@janhq/inference-mistral-extension", - "productName": "MistralAI Inference Engine", - "version": "1.0.1", - "description": "This extension enables Mistral chat completion API calls", - "main": "dist/index.js", - "module": "dist/module.js", - "engine": "mistral", - "author": "Jan ", - "license": "AGPL-3.0", - "scripts": { - "build": "tsc -b . && webpack --config webpack.config.js", - "build:publish": "rimraf *.tgz --glob && yarn build && npm pack && cpx *.tgz ../../pre-install" - }, - "exports": { - ".": "./dist/index.js", - "./main": "./dist/module.js" - }, - "devDependencies": { - "cpx": "^1.5.0", - "rimraf": "^3.0.2", - "webpack": "^5.88.2", - "webpack-cli": "^5.1.4", - "ts-loader": "^9.5.0" - }, - "dependencies": { - "@janhq/core": "file:../../core", - "fetch-retry": "^5.0.6", - "path-browserify": "^1.0.1", - "ulidx": "^2.3.0" - }, - "engines": { - "node": ">=18.0.0" - }, - "files": [ - "dist/*", - "package.json", - "README.md" - ], - "bundleDependencies": [ - "fetch-retry" - ] -} diff --git a/extensions/inference-mistral-extension/resources/settings.json b/extensions/inference-mistral-extension/resources/settings.json deleted file mode 100644 index 963674b02..000000000 --- a/extensions/inference-mistral-extension/resources/settings.json +++ /dev/null @@ -1,24 +0,0 @@ -[ - { - "key": "mistral-api-key", - "title": "API Key", - "description": "The Mistral API uses API keys for authentication. Visit your [API Keys](https://console.mistral.ai/api-keys/) page to retrieve the API key you'll use in your requests.", - "controllerType": "input", - "controllerProps": { - "placeholder": "Insert API Key", - "value": "", - "type": "password", - "inputActions": ["unobscure", "copy"] - } - }, - { - "key": "chat-completions-endpoint", - "title": "Chat Completions Endpoint", - "description": "The endpoint to use for chat completions. See the [Mistral API documentation](https://docs.mistral.ai/api/#operation/createChatCompletion) for more information.", - "controllerType": "input", - "controllerProps": { - "placeholder": "https://api.mistral.ai/v1/chat/completions", - "value": "https://api.mistral.ai/v1/chat/completions" - } - } -] diff --git a/extensions/inference-mistral-extension/src/index.ts b/extensions/inference-mistral-extension/src/index.ts deleted file mode 100644 index 461fc326e..000000000 --- a/extensions/inference-mistral-extension/src/index.ts +++ /dev/null @@ -1,66 +0,0 @@ -/** - * @file This file exports a class that implements the InferenceExtension interface from the @janhq/core package. - * The class provides methods for initializing and stopping a model, and for making inference requests. - * It also subscribes to events emitted by the @janhq/core package and handles new message requests. - * @version 1.0.0 - * @module inference-mistral-extension/src/index - */ - -import { RemoteOAIEngine } from '@janhq/core' - -declare const SETTINGS: Array -declare const MODELS: Array - -enum Settings { - apiKey = 'mistral-api-key', - chatCompletionsEndPoint = 'chat-completions-endpoint', -} -/** - * A class that implements the InferenceExtension interface from the @janhq/core package. - * The class provides methods for initializing and stopping a model, and for making inference requests. - * It also subscribes to events emitted by the @janhq/core package and handles new message requests. - */ -export default class JanInferenceMistralExtension extends RemoteOAIEngine { - inferenceUrl: string = '' - provider: string = 'mistral' - - override async onLoad(): Promise { - super.onLoad() - - // Register Settings - this.registerSettings(SETTINGS) - this.registerModels(MODELS) - - this.apiKey = await this.getSetting(Settings.apiKey, '') - this.inferenceUrl = await this.getSetting( - Settings.chatCompletionsEndPoint, - '' - ) - - if (this.inferenceUrl.length === 0) { - SETTINGS.forEach((setting) => { - if (setting.key === Settings.chatCompletionsEndPoint) { - this.inferenceUrl = setting.controllerProps.value as string - } - }) - } - } - - onSettingUpdate(key: string, value: T): void { - if (key === Settings.apiKey) { - this.apiKey = value as string - } else if (key === Settings.chatCompletionsEndPoint) { - if (typeof value !== 'string') return - - if (value.trim().length === 0) { - SETTINGS.forEach((setting) => { - if (setting.key === Settings.chatCompletionsEndPoint) { - this.inferenceUrl = setting.controllerProps.value as string - } - }) - } else { - this.inferenceUrl = value - } - } - } -} diff --git a/extensions/inference-mistral-extension/tsconfig.json b/extensions/inference-mistral-extension/tsconfig.json deleted file mode 100644 index 2477d58ce..000000000 --- a/extensions/inference-mistral-extension/tsconfig.json +++ /dev/null @@ -1,14 +0,0 @@ -{ - "compilerOptions": { - "target": "es2016", - "module": "ES6", - "moduleResolution": "node", - "outDir": "./dist", - "esModuleInterop": true, - "forceConsistentCasingInFileNames": true, - "strict": false, - "skipLibCheck": true, - "rootDir": "./src" - }, - "include": ["./src"] -} diff --git a/extensions/inference-mistral-extension/webpack.config.js b/extensions/inference-mistral-extension/webpack.config.js deleted file mode 100644 index 0e35fc227..000000000 --- a/extensions/inference-mistral-extension/webpack.config.js +++ /dev/null @@ -1,42 +0,0 @@ -const path = require('path') -const webpack = require('webpack') -const packageJson = require('./package.json') -const settingJson = require('./resources/settings.json') -const modelsJson = require('./resources/models.json') - -module.exports = { - experiments: { outputModule: true }, - entry: './src/index.ts', // Adjust the entry point to match your project's main file - mode: 'production', - module: { - rules: [ - { - test: /\.tsx?$/, - use: 'ts-loader', - exclude: /node_modules/, - }, - ], - }, - plugins: [ - new webpack.DefinePlugin({ - SETTINGS: JSON.stringify(settingJson), - ENGINE: JSON.stringify(packageJson.engine), - MODELS: JSON.stringify(modelsJson), - }), - ], - output: { - filename: 'index.js', // Adjust the output file name as needed - path: path.resolve(__dirname, 'dist'), - library: { type: 'module' }, // Specify ESM output format - }, - resolve: { - extensions: ['.ts', '.js'], - fallback: { - path: require.resolve('path-browserify'), - }, - }, - optimization: { - minimize: false, - }, - // Add loaders and other configuration as needed for your project -} diff --git a/extensions/inference-nvidia-extension/README.md b/extensions/inference-nvidia-extension/README.md deleted file mode 100644 index 65a1b2b59..000000000 --- a/extensions/inference-nvidia-extension/README.md +++ /dev/null @@ -1,79 +0,0 @@ -# Nvidia Engine Extension - -Created using Jan extension example - -# Create a Jan Extension using Typescript - -Use this template to bootstrap the creation of a TypeScript Jan extension. 🚀 - -## Create Your Own Extension - -To create your own extension, you can use this repository as a template! Just follow the below instructions: - -1. Click the Use this template button at the top of the repository -2. Select Create a new repository -3. Select an owner and name for your new repository -4. Click Create repository -5. Clone your new repository - -## Initial Setup - -After you've cloned the repository to your local machine or codespace, you'll need to perform some initial setup steps before you can develop your extension. - -> [!NOTE] -> -> You'll need to have a reasonably modern version of -> [Node.js](https://nodejs.org) handy. If you are using a version manager like -> [`nodenv`](https://github.com/nodenv/nodenv) or -> [`nvm`](https://github.com/nvm-sh/nvm), you can run `nodenv install` in the -> root of your repository to install the version specified in -> [`package.json`](./package.json). Otherwise, 20.x or later should work! - -1. :hammer_and_wrench: Install the dependencies - - ```bash - npm install - ``` - -1. :building_construction: Package the TypeScript for distribution - - ```bash - npm run bundle - ``` - -1. :white_check_mark: Check your artifact - - There will be a tgz file in your extension directory now - -## Update the Extension Metadata - -The [`package.json`](package.json) file defines metadata about your extension, such as -extension name, main entry, description and version. - -When you copy this repository, update `package.json` with the name, description for your extension. - -## Update the Extension Code - -The [`src/`](./src/) directory is the heart of your extension! This contains the -source code that will be run when your extension functions are invoked. You can replace the -contents of this directory with your own code. - -There are a few things to keep in mind when writing your extension code: - -- Most Jan Extension functions are processed asynchronously. - In `index.ts`, you will see that the extension function will return a `Promise`. - - ```typescript - import { events, MessageEvent, MessageRequest } from '@janhq/core' - - function onStart(): Promise { - return events.on(MessageEvent.OnMessageSent, (data: MessageRequest) => - this.inference(data) - ) - } - ``` - - For more information about the Jan Extension Core module, see the - [documentation](https://github.com/janhq/jan/blob/main/core/README.md). - -So, what are you waiting for? Go ahead and start customizing your extension! diff --git a/extensions/inference-nvidia-extension/package.json b/extensions/inference-nvidia-extension/package.json deleted file mode 100644 index 8bd7708bc..000000000 --- a/extensions/inference-nvidia-extension/package.json +++ /dev/null @@ -1,43 +0,0 @@ -{ - "name": "@janhq/inference-nvidia-extension", - "productName": "NVIDIA NIM Inference Engine", - "version": "1.0.1", - "description": "This extension enables NVIDIA chat completion API calls", - "main": "dist/index.js", - "module": "dist/module.js", - "engine": "nvidia", - "author": "Jan ", - "license": "AGPL-3.0", - "scripts": { - "build": "tsc -b . && webpack --config webpack.config.js", - "build:publish": "rimraf *.tgz --glob && yarn build && npm pack && cpx *.tgz ../../pre-install" - }, - "exports": { - ".": "./dist/index.js", - "./main": "./dist/module.js" - }, - "devDependencies": { - "cpx": "^1.5.0", - "rimraf": "^3.0.2", - "webpack": "^5.88.2", - "webpack-cli": "^5.1.4", - "ts-loader": "^9.5.0" - }, - "dependencies": { - "@janhq/core": "file:../../core", - "fetch-retry": "^5.0.6", - "path-browserify": "^1.0.1", - "ulidx": "^2.3.0" - }, - "engines": { - "node": ">=18.0.0" - }, - "files": [ - "dist/*", - "package.json", - "README.md" - ], - "bundleDependencies": [ - "fetch-retry" - ] -} diff --git a/extensions/inference-nvidia-extension/resources/settings.json b/extensions/inference-nvidia-extension/resources/settings.json deleted file mode 100644 index 6b2652653..000000000 --- a/extensions/inference-nvidia-extension/resources/settings.json +++ /dev/null @@ -1,24 +0,0 @@ -[ - { - "key": "nvidia-api-key", - "title": "API Key", - "description": "The NVIDIA API uses API keys for authentication. Visit your [API Keys](https://org.ngc.nvidia.com/setup/personal-keys) page to retrieve the API key you'll use in your requests..", - "controllerType": "input", - "controllerProps": { - "placeholder": "Insert API Key", - "value": "", - "type": "password", - "inputActions": ["unobscure", "copy"] - } - }, - { - "key": "chat-completions-endpoint", - "title": "Chat Completions Endpoint", - "description": "The endpoint to use for chat completions. See the [NVIDIA API documentation](https://www.nvidia.com/en-us/ai/) for more information.", - "controllerType": "input", - "controllerProps": { - "placeholder": "https://integrate.api.nvidia.com/v1/chat/completions", - "value": "https://integrate.api.nvidia.com/v1/chat/completions" - } - } -] diff --git a/extensions/inference-nvidia-extension/src/index.ts b/extensions/inference-nvidia-extension/src/index.ts deleted file mode 100644 index 9af27d90c..000000000 --- a/extensions/inference-nvidia-extension/src/index.ts +++ /dev/null @@ -1,66 +0,0 @@ -/** - * @file This file exports a class that implements the InferenceExtension interface from the @janhq/core package. - * The class provides methods for initializing and stopping a model, and for making inference requests. - * It also subscribes to events emitted by the @janhq/core package and handles new message requests. - * @version 1.0.0 - * @module inference-mistral-extension/src/index - */ - -import { RemoteOAIEngine } from '@janhq/core' - -declare const SETTINGS: Array -declare const MODELS: Array - -enum Settings { - apiKey = 'nvidia-api-key', - chatCompletionsEndPoint = 'chat-completions-endpoint', -} -/** - * A class that implements the InferenceExtension interface from the @janhq/core package. - * The class provides methods for initializing and stopping a model, and for making inference requests. - * It also subscribes to events emitted by the @janhq/core package and handles new message requests. - */ -export default class JanNVIDIANIMInferenceEngine extends RemoteOAIEngine { - inferenceUrl: string = '' - provider: string = 'nvidia' - - override async onLoad(): Promise { - super.onLoad() - - // Register Settings - this.registerSettings(SETTINGS) - this.registerModels(MODELS) - - this.apiKey = await this.getSetting(Settings.apiKey, '') - this.inferenceUrl = await this.getSetting( - Settings.chatCompletionsEndPoint, - '' - ) - - if (this.inferenceUrl.length === 0) { - SETTINGS.forEach((setting) => { - if (setting.key === Settings.chatCompletionsEndPoint) { - this.inferenceUrl = setting.controllerProps.value as string - } - }) - } - } - - onSettingUpdate(key: string, value: T): void { - if (key === Settings.apiKey) { - this.apiKey = value as string - } else if (key === Settings.chatCompletionsEndPoint) { - if (typeof value !== 'string') return - - if (value.trim().length === 0) { - SETTINGS.forEach((setting) => { - if (setting.key === Settings.chatCompletionsEndPoint) { - this.inferenceUrl = setting.controllerProps.value as string - } - }) - } else { - this.inferenceUrl = value - } - } - } -} diff --git a/extensions/inference-nvidia-extension/tsconfig.json b/extensions/inference-nvidia-extension/tsconfig.json deleted file mode 100644 index 2477d58ce..000000000 --- a/extensions/inference-nvidia-extension/tsconfig.json +++ /dev/null @@ -1,14 +0,0 @@ -{ - "compilerOptions": { - "target": "es2016", - "module": "ES6", - "moduleResolution": "node", - "outDir": "./dist", - "esModuleInterop": true, - "forceConsistentCasingInFileNames": true, - "strict": false, - "skipLibCheck": true, - "rootDir": "./src" - }, - "include": ["./src"] -} diff --git a/extensions/inference-nvidia-extension/webpack.config.js b/extensions/inference-nvidia-extension/webpack.config.js deleted file mode 100644 index 0e35fc227..000000000 --- a/extensions/inference-nvidia-extension/webpack.config.js +++ /dev/null @@ -1,42 +0,0 @@ -const path = require('path') -const webpack = require('webpack') -const packageJson = require('./package.json') -const settingJson = require('./resources/settings.json') -const modelsJson = require('./resources/models.json') - -module.exports = { - experiments: { outputModule: true }, - entry: './src/index.ts', // Adjust the entry point to match your project's main file - mode: 'production', - module: { - rules: [ - { - test: /\.tsx?$/, - use: 'ts-loader', - exclude: /node_modules/, - }, - ], - }, - plugins: [ - new webpack.DefinePlugin({ - SETTINGS: JSON.stringify(settingJson), - ENGINE: JSON.stringify(packageJson.engine), - MODELS: JSON.stringify(modelsJson), - }), - ], - output: { - filename: 'index.js', // Adjust the output file name as needed - path: path.resolve(__dirname, 'dist'), - library: { type: 'module' }, // Specify ESM output format - }, - resolve: { - extensions: ['.ts', '.js'], - fallback: { - path: require.resolve('path-browserify'), - }, - }, - optimization: { - minimize: false, - }, - // Add loaders and other configuration as needed for your project -} diff --git a/extensions/inference-openai-extension/README.md b/extensions/inference-openai-extension/README.md deleted file mode 100644 index c716c725c..000000000 --- a/extensions/inference-openai-extension/README.md +++ /dev/null @@ -1,79 +0,0 @@ -# OpenAI Engine Extension - -Created using Jan extension example - -# Create a Jan Extension using Typescript - -Use this template to bootstrap the creation of a TypeScript Jan extension. 🚀 - -## Create Your Own Extension - -To create your own extension, you can use this repository as a template! Just follow the below instructions: - -1. Click the Use this template button at the top of the repository -2. Select Create a new repository -3. Select an owner and name for your new repository -4. Click Create repository -5. Clone your new repository - -## Initial Setup - -After you've cloned the repository to your local machine or codespace, you'll need to perform some initial setup steps before you can develop your extension. - -> [!NOTE] -> -> You'll need to have a reasonably modern version of -> [Node.js](https://nodejs.org) handy. If you are using a version manager like -> [`nodenv`](https://github.com/nodenv/nodenv) or -> [`nvm`](https://github.com/nvm-sh/nvm), you can run `nodenv install` in the -> root of your repository to install the version specified in -> [`package.json`](./package.json). Otherwise, 20.x or later should work! - -1. :hammer_and_wrench: Install the dependencies - - ```bash - npm install - ``` - -1. :building_construction: Package the TypeScript for distribution - - ```bash - npm run bundle - ``` - -1. :white_check_mark: Check your artifact - - There will be a tgz file in your extension directory now - -## Update the Extension Metadata - -The [`package.json`](package.json) file defines metadata about your extension, such as -extension name, main entry, description and version. - -When you copy this repository, update `package.json` with the name, description for your extension. - -## Update the Extension Code - -The [`src/`](./src/) directory is the heart of your extension! This contains the -source code that will be run when your extension functions are invoked. You can replace the -contents of this directory with your own code. - -There are a few things to keep in mind when writing your extension code: - -- Most Jan Extension functions are processed asynchronously. - In `index.ts`, you will see that the extension function will return a `Promise`. - - ```typescript - import { events, MessageEvent, MessageRequest } from '@janhq/core' - - function onStart(): Promise { - return events.on(MessageEvent.OnMessageSent, (data: MessageRequest) => - this.inference(data) - ) - } - ``` - - For more information about the Jan Extension Core module, see the - [documentation](https://github.com/janhq/jan/blob/main/core/README.md). - -So, what are you waiting for? Go ahead and start customizing your extension! diff --git a/extensions/inference-openai-extension/jest.config.js b/extensions/inference-openai-extension/jest.config.js deleted file mode 100644 index 3e32adceb..000000000 --- a/extensions/inference-openai-extension/jest.config.js +++ /dev/null @@ -1,9 +0,0 @@ -/** @type {import('ts-jest').JestConfigWithTsJest} */ -module.exports = { - preset: 'ts-jest', - testEnvironment: 'node', - transform: { - 'node_modules/@janhq/core/.+\\.(j|t)s?$': 'ts-jest', - }, - transformIgnorePatterns: ['node_modules/(?!@janhq/core/.*)'], -} diff --git a/extensions/inference-openai-extension/package.json b/extensions/inference-openai-extension/package.json deleted file mode 100644 index d5b2a1d7a..000000000 --- a/extensions/inference-openai-extension/package.json +++ /dev/null @@ -1,42 +0,0 @@ -{ - "name": "@janhq/inference-openai-extension", - "productName": "OpenAI Inference Engine", - "version": "1.0.5", - "description": "This extension enables OpenAI chat completion API calls", - "main": "dist/index.js", - "module": "dist/module.js", - "engine": "openai", - "author": "Jan ", - "license": "AGPL-3.0", - "scripts": { - "build": "tsc -b . && webpack --config webpack.config.js", - "build:publish": "rimraf *.tgz --glob && yarn build && npm pack && cpx *.tgz ../../pre-install" - }, - "exports": { - ".": "./dist/index.js", - "./main": "./dist/module.js" - }, - "devDependencies": { - "cpx": "^1.5.0", - "rimraf": "^3.0.2", - "webpack": "^5.88.2", - "webpack-cli": "^5.1.4", - "ts-loader": "^9.5.0" - }, - "dependencies": { - "@janhq/core": "file:../../core", - "fetch-retry": "^5.0.6", - "ulidx": "^2.3.0" - }, - "engines": { - "node": ">=18.0.0" - }, - "files": [ - "dist/*", - "package.json", - "README.md" - ], - "bundleDependencies": [ - "fetch-retry" - ] -} diff --git a/extensions/inference-openai-extension/resources/settings.json b/extensions/inference-openai-extension/resources/settings.json deleted file mode 100644 index db2e80c9b..000000000 --- a/extensions/inference-openai-extension/resources/settings.json +++ /dev/null @@ -1,24 +0,0 @@ -[ - { - "key": "openai-api-key", - "title": "API Key", - "description": "The OpenAI API uses API keys for authentication. Visit your [API Keys](https://platform.openai.com/account/api-keys) page to retrieve the API key you'll use in your requests.", - "controllerType": "input", - "controllerProps": { - "placeholder": "Insert API Key", - "value": "", - "type": "password", - "inputActions": ["unobscure", "copy"] - } - }, - { - "key": "chat-completions-endpoint", - "title": "Chat Completions Endpoint", - "description": "The endpoint to use for chat completions. See the [OpenAI API documentation](https://platform.openai.com/docs/api-reference/chat/create) for more information.", - "controllerType": "input", - "controllerProps": { - "placeholder": "https://api.openai.com/v1/chat/completions", - "value": "https://api.openai.com/v1/chat/completions" - } - } -] diff --git a/extensions/inference-openai-extension/src/OpenAIExtension.test.ts b/extensions/inference-openai-extension/src/OpenAIExtension.test.ts deleted file mode 100644 index 4d46bc007..000000000 --- a/extensions/inference-openai-extension/src/OpenAIExtension.test.ts +++ /dev/null @@ -1,54 +0,0 @@ -/** - * @jest-environment jsdom - */ -jest.mock('@janhq/core', () => ({ - ...jest.requireActual('@janhq/core/node'), - RemoteOAIEngine: jest.fn().mockImplementation(() => ({ - onLoad: jest.fn(), - registerSettings: jest.fn(), - registerModels: jest.fn(), - getSetting: jest.fn(), - onSettingUpdate: jest.fn(), - })), -})) -import JanInferenceOpenAIExtension, { Settings } from '.' - -describe('JanInferenceOpenAIExtension', () => { - let extension: JanInferenceOpenAIExtension - - beforeEach(() => { - // @ts-ignore - extension = new JanInferenceOpenAIExtension() - }) - - it('should initialize with settings and models', async () => { - await extension.onLoad() - // Assuming there are some default SETTINGS and MODELS being registered - expect(extension.apiKey).toBe(undefined) - expect(extension.inferenceUrl).toBe('') - }) - - it('should transform the payload for preview models', () => { - const payload: any = { - max_tokens: 100, - model: 'o1-mini', - // Add other required properties... - } - - const transformedPayload = extension.transformPayload(payload) - expect(transformedPayload.max_completion_tokens).toBe(payload.max_tokens) - expect(transformedPayload).not.toHaveProperty('max_tokens') - expect(transformedPayload).toHaveProperty('max_completion_tokens') - }) - - it('should not transform the payload for non-preview models', () => { - const payload: any = { - max_tokens: 100, - model: 'non-preview-model', - // Add other required properties... - } - - const transformedPayload = extension.transformPayload(payload) - expect(transformedPayload).toEqual(payload) - }) -}) diff --git a/extensions/inference-openai-extension/src/index.ts b/extensions/inference-openai-extension/src/index.ts deleted file mode 100644 index 2612ed815..000000000 --- a/extensions/inference-openai-extension/src/index.ts +++ /dev/null @@ -1,93 +0,0 @@ -/** - * @file This file exports a class that implements the InferenceExtension interface from the @janhq/core package. - * The class provides methods for initializing and stopping a model, and for making inference requests. - * It also subscribes to events emitted by the @janhq/core package and handles new message requests. - * @version 1.0.0 - * @module inference-openai-extension/src/index - */ - -import { ModelRuntimeParams, PayloadType, RemoteOAIEngine } from '@janhq/core' - -declare const SETTINGS: Array -declare const MODELS: Array - -export enum Settings { - apiKey = 'openai-api-key', - chatCompletionsEndPoint = 'chat-completions-endpoint', -} -type OpenAIPayloadType = PayloadType & - ModelRuntimeParams & { max_completion_tokens: number } -/** - * A class that implements the InferenceExtension interface from the @janhq/core package. - * The class provides methods for initializing and stopping a model, and for making inference requests. - * It also subscribes to events emitted by the @janhq/core package and handles new message requests. - */ -export default class JanInferenceOpenAIExtension extends RemoteOAIEngine { - inferenceUrl: string = '' - provider: string = 'openai' - previewModels = ['o1-mini', 'o1-preview'] - - override async onLoad(): Promise { - super.onLoad() - - // Register Settings - this.registerSettings(SETTINGS) - this.registerModels(MODELS) - - this.apiKey = await this.getSetting(Settings.apiKey, '') - this.inferenceUrl = await this.getSetting( - Settings.chatCompletionsEndPoint, - '' - ) - if (this.inferenceUrl.length === 0) { - SETTINGS.forEach((setting) => { - if (setting.key === Settings.chatCompletionsEndPoint) { - this.inferenceUrl = setting.controllerProps.value as string - } - }) - } - } - - onSettingUpdate(key: string, value: T): void { - if (key === Settings.apiKey) { - this.apiKey = value as string - } else if (key === Settings.chatCompletionsEndPoint) { - if (typeof value !== 'string') return - - if (value.trim().length === 0) { - SETTINGS.forEach((setting) => { - if (setting.key === Settings.chatCompletionsEndPoint) { - this.inferenceUrl = setting.controllerProps.value as string - } - }) - } else { - this.inferenceUrl = value - } - } - } - - /** - * Tranform the payload before sending it to the inference endpoint. - * The new preview models such as o1-mini and o1-preview replaced max_tokens by max_completion_tokens parameter. - * Others do not. - * @param payload - * @returns - */ - transformPayload = (payload: OpenAIPayloadType): OpenAIPayloadType => { - // Remove empty stop words - if (payload.stop?.length === 0) { - const { stop, ...params } = payload - payload = params - } - // Transform the payload for preview models - if (this.previewModels.includes(payload.model)) { - const { max_tokens, stop, ...params } = payload - return { - ...params, - max_completion_tokens: max_tokens, - } - } - // Pass through for non-preview models - return payload - } -} diff --git a/extensions/inference-openai-extension/webpack.config.js b/extensions/inference-openai-extension/webpack.config.js deleted file mode 100644 index cd5e65c72..000000000 --- a/extensions/inference-openai-extension/webpack.config.js +++ /dev/null @@ -1,37 +0,0 @@ -const webpack = require('webpack') -const packageJson = require('./package.json') -const settingJson = require('./resources/settings.json') -const modelsJson = require('./resources/models.json') - -module.exports = { - experiments: { outputModule: true }, - entry: './src/index.ts', // Adjust the entry point to match your project's main file - mode: 'production', - module: { - rules: [ - { - test: /\.tsx?$/, - use: 'ts-loader', - exclude: /node_modules/, - }, - ], - }, - plugins: [ - new webpack.DefinePlugin({ - MODELS: JSON.stringify(modelsJson), - SETTINGS: JSON.stringify(settingJson), - ENGINE: JSON.stringify(packageJson.engine), - }), - ], - output: { - filename: 'index.js', // Adjust the output file name as needed - library: { type: 'module' }, // Specify ESM output format - }, - resolve: { - extensions: ['.ts', '.js'], - }, - optimization: { - minimize: false, - }, - // Add loaders and other configuration as needed for your project -} diff --git a/extensions/inference-openrouter-extension/README.md b/extensions/inference-openrouter-extension/README.md deleted file mode 100644 index aab10755d..000000000 --- a/extensions/inference-openrouter-extension/README.md +++ /dev/null @@ -1,79 +0,0 @@ -# Open Router Engine Extension - -Created using Jan extension example - -# Create a Jan Extension using Typescript - -Use this template to bootstrap the creation of a TypeScript Jan extension. 🚀 - -## Create Your Own Extension - -To create your own extension, you can use this repository as a template! Just follow the below instructions: - -1. Click the Use this template button at the top of the repository -2. Select Create a new repository -3. Select an owner and name for your new repository -4. Click Create repository -5. Clone your new repository - -## Initial Setup - -After you've cloned the repository to your local machine or codespace, you'll need to perform some initial setup steps before you can develop your extension. - -> [!NOTE] -> -> You'll need to have a reasonably modern version of -> [Node.js](https://nodejs.org) handy. If you are using a version manager like -> [`nodenv`](https://github.com/nodenv/nodenv) or -> [`nvm`](https://github.com/nvm-sh/nvm), you can run `nodenv install` in the -> root of your repository to install the version specified in -> [`package.json`](./package.json). Otherwise, 20.x or later should work! - -1. :hammer_and_wrench: Install the dependencies - - ```bash - npm install - ``` - -1. :building_construction: Package the TypeScript for distribution - - ```bash - npm run bundle - ``` - -1. :white_check_mark: Check your artifact - - There will be a tgz file in your extension directory now - -## Update the Extension Metadata - -The [`package.json`](package.json) file defines metadata about your extension, such as -extension name, main entry, description and version. - -When you copy this repository, update `package.json` with the name, description for your extension. - -## Update the Extension Code - -The [`src/`](./src/) directory is the heart of your extension! This contains the -source code that will be run when your extension functions are invoked. You can replace the -contents of this directory with your own code. - -There are a few things to keep in mind when writing your extension code: - -- Most Jan Extension functions are processed asynchronously. - In `index.ts`, you will see that the extension function will return a `Promise`. - - ```typescript - import { events, MessageEvent, MessageRequest } from '@janhq/core' - - function onStart(): Promise { - return events.on(MessageEvent.OnMessageSent, (data: MessageRequest) => - this.inference(data) - ) - } - ``` - - For more information about the Jan Extension Core module, see the - [documentation](https://github.com/janhq/jan/blob/main/core/README.md). - -So, what are you waiting for? Go ahead and start customizing your extension! diff --git a/extensions/inference-openrouter-extension/package.json b/extensions/inference-openrouter-extension/package.json deleted file mode 100644 index 9d3d68d47..000000000 --- a/extensions/inference-openrouter-extension/package.json +++ /dev/null @@ -1,43 +0,0 @@ -{ - "name": "@janhq/inference-openrouter-extension", - "productName": "OpenRouter Inference Engine", - "version": "1.0.0", - "description": "This extension enables Open Router chat completion API calls", - "main": "dist/index.js", - "module": "dist/module.js", - "engine": "openrouter", - "author": "Jan ", - "license": "AGPL-3.0", - "scripts": { - "build": "tsc -b . && webpack --config webpack.config.js", - "build:publish": "rimraf *.tgz --glob && yarn build && npm pack && cpx *.tgz ../../pre-install", - "sync:core": "cd ../.. && yarn build:core && cd extensions && rm yarn.lock && cd inference-openrouter-extension && yarn && yarn build:publish" - }, - "exports": { - ".": "./dist/index.js", - "./main": "./dist/module.js" - }, - "devDependencies": { - "cpx": "^1.5.0", - "rimraf": "^3.0.2", - "webpack": "^5.88.2", - "webpack-cli": "^5.1.4", - "ts-loader": "^9.5.0" - }, - "dependencies": { - "@janhq/core": "file:../../core", - "fetch-retry": "^5.0.6", - "ulidx": "^2.3.0" - }, - "engines": { - "node": ">=18.0.0" - }, - "files": [ - "dist/*", - "package.json", - "README.md" - ], - "bundleDependencies": [ - "fetch-retry" - ] -} diff --git a/extensions/inference-openrouter-extension/resources/settings.json b/extensions/inference-openrouter-extension/resources/settings.json deleted file mode 100644 index 189aee0a0..000000000 --- a/extensions/inference-openrouter-extension/resources/settings.json +++ /dev/null @@ -1,34 +0,0 @@ -[ - { - "key": "openrouter-api-key", - "title": "API Key", - "description": "The OpenRouter API uses API keys for authentication. Visit your [API Keys](https://openrouter.ai/keys) page to retrieve the API key you'll use in your requests.", - "controllerType": "input", - "controllerProps": { - "placeholder": "Insert API Key", - "value": "", - "type": "password", - "inputActions": ["unobscure", "copy"] - } - }, - { - "key": "chat-completions-endpoint", - "title": "Chat Completions Endpoint", - "description": "The endpoint to use for chat completions. See the [OpenRouter API documentation](https://openrouter.ai/docs/requests) for more information.", - "controllerType": "input", - "controllerProps": { - "placeholder": "https://openrouter.ai/api/v1/chat/completions", - "value": "https://openrouter.ai/api/v1/chat/completions" - } - }, - { - "key": "openrouter-model", - "title": "Model", - "description": "If the model parameter is omitted, the user or payer's default is used. Otherwise, remember to select a value for model from the [supported models](https://openrouter.ai/docs/models) or API, and include the organization prefix.", - "controllerType": "input", - "controllerProps": { - "placeholder": "Leave empty for default model", - "value": "" - } - } -] diff --git a/extensions/inference-openrouter-extension/src/index.ts b/extensions/inference-openrouter-extension/src/index.ts deleted file mode 100644 index 1b2cd014d..000000000 --- a/extensions/inference-openrouter-extension/src/index.ts +++ /dev/null @@ -1,88 +0,0 @@ -/** - * @file This file exports a class that implements the InferenceExtension interface from the @janhq/core package. - * The class provides methods for initializing and stopping a model, and for making inference requests. - * It also subscribes to events emitted by the @janhq/core package and handles new message requests. - * @version 1.0.0 - * @module inference-openai-extension/src/index - */ - -import { RemoteOAIEngine } from '@janhq/core' -import { PayloadType } from '@janhq/core' - -declare const SETTINGS: Array -declare const MODELS: Array - -enum Settings { - apiKey = 'openrouter-api-key', - model = 'openrouter-model', - chatCompletionsEndPoint = 'chat-completions-endpoint', -} - -/** - * A class that implements the InferenceExtension interface from the @janhq/core package. - * The class provides methods for initializing and stopping a model, and for making inference requests. - * It also subscribes to events emitted by the @janhq/core package and handles new message requests. - */ -export default class JanInferenceOpenRouterExtension extends RemoteOAIEngine { - inferenceUrl: string = '' - provider: string = 'openrouter' - model?: string | undefined - - override async onLoad(): Promise { - super.onLoad() - - // Register Settings - this.registerSettings(SETTINGS) - this.registerModels(MODELS) - - this.apiKey = await this.getSetting(Settings.apiKey, '') - this.inferenceUrl = await this.getSetting( - Settings.chatCompletionsEndPoint, - '' - ) - this.model = await this.getSetting(Settings.model, '') - // Openrouter uses default model on no model param set - if (!this.model?.length) this.model = undefined - if (this.inferenceUrl.length === 0) { - SETTINGS.forEach((setting) => { - if (setting.key === Settings.chatCompletionsEndPoint) { - this.inferenceUrl = setting.controllerProps.value as string - } - }) - } - } - - override async headers(): Promise { - return { - 'Content-Type': 'application/json', - 'HTTP-Referer': 'https://jan.ai', - 'Authorization': `Bearer ${this.apiKey}`, - } - } - - onSettingUpdate(key: string, value: T): void { - if (key === Settings.apiKey) { - this.apiKey = value as string - } else if (key === Settings.chatCompletionsEndPoint) { - if (typeof value !== 'string') return - - if (value.trim().length === 0) { - SETTINGS.forEach((setting) => { - if (setting.key === Settings.chatCompletionsEndPoint) { - this.inferenceUrl = setting.controllerProps.value as string - } - }) - } else { - this.inferenceUrl = value - } - } else if (key === Settings.model) { - this.model = - typeof value === 'string' && value.length > 0 ? value : undefined - } - } - - transformPayload = (payload: PayloadType) => ({ - ...payload, - model: payload.model !== 'open-router-auto' ? payload.model : this.model, - }) -} diff --git a/extensions/inference-openrouter-extension/tsconfig.json b/extensions/inference-openrouter-extension/tsconfig.json deleted file mode 100644 index 2477d58ce..000000000 --- a/extensions/inference-openrouter-extension/tsconfig.json +++ /dev/null @@ -1,14 +0,0 @@ -{ - "compilerOptions": { - "target": "es2016", - "module": "ES6", - "moduleResolution": "node", - "outDir": "./dist", - "esModuleInterop": true, - "forceConsistentCasingInFileNames": true, - "strict": false, - "skipLibCheck": true, - "rootDir": "./src" - }, - "include": ["./src"] -} diff --git a/extensions/inference-openrouter-extension/webpack.config.js b/extensions/inference-openrouter-extension/webpack.config.js deleted file mode 100644 index cd5e65c72..000000000 --- a/extensions/inference-openrouter-extension/webpack.config.js +++ /dev/null @@ -1,37 +0,0 @@ -const webpack = require('webpack') -const packageJson = require('./package.json') -const settingJson = require('./resources/settings.json') -const modelsJson = require('./resources/models.json') - -module.exports = { - experiments: { outputModule: true }, - entry: './src/index.ts', // Adjust the entry point to match your project's main file - mode: 'production', - module: { - rules: [ - { - test: /\.tsx?$/, - use: 'ts-loader', - exclude: /node_modules/, - }, - ], - }, - plugins: [ - new webpack.DefinePlugin({ - MODELS: JSON.stringify(modelsJson), - SETTINGS: JSON.stringify(settingJson), - ENGINE: JSON.stringify(packageJson.engine), - }), - ], - output: { - filename: 'index.js', // Adjust the output file name as needed - library: { type: 'module' }, // Specify ESM output format - }, - resolve: { - extensions: ['.ts', '.js'], - }, - optimization: { - minimize: false, - }, - // Add loaders and other configuration as needed for your project -} diff --git a/extensions/inference-triton-trtllm-extension/README.md b/extensions/inference-triton-trtllm-extension/README.md deleted file mode 100644 index f9690da09..000000000 --- a/extensions/inference-triton-trtllm-extension/README.md +++ /dev/null @@ -1,75 +0,0 @@ -# Create a Jan Extension using Typescript - -Use this template to bootstrap the creation of a TypeScript Jan extension. 🚀 - -## Create Your Own Extension - -To create your own extension, you can use this repository as a template! Just follow the below instructions: - -1. Click the Use this template button at the top of the repository -2. Select Create a new repository -3. Select an owner and name for your new repository -4. Click Create repository -5. Clone your new repository - -## Initial Setup - -After you've cloned the repository to your local machine or codespace, you'll need to perform some initial setup steps before you can develop your extension. - -> [!NOTE] -> -> You'll need to have a reasonably modern version of -> [Node.js](https://nodejs.org) handy. If you are using a version manager like -> [`nodenv`](https://github.com/nodenv/nodenv) or -> [`nvm`](https://github.com/nvm-sh/nvm), you can run `nodenv install` in the -> root of your repository to install the version specified in -> [`package.json`](./package.json). Otherwise, 20.x or later should work! - -1. :hammer_and_wrench: Install the dependencies - - ```bash - npm install - ``` - -1. :building_construction: Package the TypeScript for distribution - - ```bash - npm run bundle - ``` - -1. :white_check_mark: Check your artifact - - There will be a tgz file in your extension directory now - -## Update the Extension Metadata - -The [`package.json`](package.json) file defines metadata about your extension, such as -extension name, main entry, description and version. - -When you copy this repository, update `package.json` with the name, description for your extension. - -## Update the Extension Code - -The [`src/`](./src/) directory is the heart of your extension! This contains the -source code that will be run when your extension functions are invoked. You can replace the -contents of this directory with your own code. - -There are a few things to keep in mind when writing your extension code: - -- Most Jan Extension functions are processed asynchronously. - In `index.ts`, you will see that the extension function will return a `Promise`. - - ```typescript - import { events, MessageEvent, MessageRequest } from '@janhq/core' - - function onStart(): Promise { - return events.on(MessageEvent.OnMessageSent, (data: MessageRequest) => - this.inference(data) - ) - } - ``` - - For more information about the Jan Extension Core module, see the - [documentation](https://github.com/janhq/jan/blob/main/core/README.md). - -So, what are you waiting for? Go ahead and start customizing your extension! diff --git a/extensions/inference-triton-trtllm-extension/package.json b/extensions/inference-triton-trtllm-extension/package.json deleted file mode 100644 index 6612dc191..000000000 --- a/extensions/inference-triton-trtllm-extension/package.json +++ /dev/null @@ -1,43 +0,0 @@ -{ - "name": "@janhq/inference-triton-trt-llm-extension", - "productName": "Triton-TRT-LLM Inference Engine", - "version": "1.0.0", - "description": "This extension enables Nvidia's TensorRT-LLM as an inference engine option", - "main": "dist/index.js", - "module": "dist/module.js", - "author": "Jan ", - "license": "AGPL-3.0", - "scripts": { - "build": "tsc -b . && webpack --config webpack.config.js", - "build:publish": "rimraf *.tgz --glob && yarn build && npm pack && cpx *.tgz ../../pre-install" - }, - "exports": { - ".": "./dist/index.js", - "./main": "./dist/module.js" - }, - "devDependencies": { - "cpx": "^1.5.0", - "rimraf": "^3.0.2", - "ts-loader": "^9.5.0", - "typescript": "5.3.3", - "webpack": "^5.88.2", - "webpack-cli": "^5.1.4" - }, - "dependencies": { - "@janhq/core": "file:../../core", - "fetch-retry": "^5.0.6", - "rxjs": "^7.8.1", - "ulidx": "^2.3.0" - }, - "engines": { - "node": ">=18.0.0" - }, - "files": [ - "dist/*", - "package.json", - "README.md" - ], - "bundleDependencies": [ - "fetch-retry" - ] -} diff --git a/extensions/inference-triton-trtllm-extension/resources/settings.json b/extensions/inference-triton-trtllm-extension/resources/settings.json deleted file mode 100644 index 26b80a686..000000000 --- a/extensions/inference-triton-trtllm-extension/resources/settings.json +++ /dev/null @@ -1,24 +0,0 @@ -[ - { - "key": "tritonllm-api-key", - "title": "API Key", - "description": "The Triton LLM API uses API keys for authentication.", - "controllerType": "input", - "controllerProps": { - "placeholder": "Insert API Key", - "value": "", - "type": "password", - "inputActions": ["unobscure", "copy"] - } - }, - { - "key": "chat-completions-endpoint", - "title": "Chat Completions Endpoint", - "description": "The endpoint to use for chat completions.", - "controllerType": "input", - "controllerProps": { - "placeholder": "http://localhost:8000/v2/models/tensorrt_llm_bls/generate", - "value": "http://localhost:8000/v2/models/tensorrt_llm_bls/generate" - } - } -] diff --git a/extensions/inference-triton-trtllm-extension/src/index.ts b/extensions/inference-triton-trtllm-extension/src/index.ts deleted file mode 100644 index be34837ac..000000000 --- a/extensions/inference-triton-trtllm-extension/src/index.ts +++ /dev/null @@ -1,67 +0,0 @@ -/** - * @file This file exports a class that implements the InferenceExtension interface from the @janhq/core package. - * The class provides methods for initializing and stopping a model, and for making inference requests. - * It also subscribes to events emitted by the @janhq/core package and handles new message requests. - * @version 1.0.0 - * @module inference-nvidia-triton-trt-llm-extension/src/index - */ - -import { RemoteOAIEngine, SettingComponentProps } from '@janhq/core' - -declare const SETTINGS: Array -enum Settings { - apiKey = 'tritonllm-api-key', - chatCompletionsEndPoint = 'chat-completions-endpoint', -} -/** - * A class that implements the InferenceExtension interface from the @janhq/core package. - * The class provides methods for initializing and stopping a model, and for making inference requests. - * It also subscribes to events emitted by the @janhq/core package and handles new message requests. - */ -export default class JanInferenceTritonTrtLLMExtension extends RemoteOAIEngine { - inferenceUrl: string = '' - provider: string = 'triton_trtllm' - - /** - * Subscribes to events emitted by the @janhq/core package. - */ - async onLoad() { - super.onLoad() - - // Register Settings - this.registerSettings(SETTINGS) - - // Retrieve API Key Setting - this.apiKey = await this.getSetting(Settings.apiKey, '') - this.inferenceUrl = await this.getSetting( - Settings.chatCompletionsEndPoint, - '' - ) - - if (this.inferenceUrl.length === 0) { - SETTINGS.forEach((setting) => { - if (setting.key === Settings.chatCompletionsEndPoint) { - this.inferenceUrl = setting.controllerProps.value as string - } - }) - } - } - - onSettingUpdate(key: string, value: T): void { - if (key === Settings.apiKey) { - this.apiKey = value as string - } else if (key === Settings.chatCompletionsEndPoint) { - if (typeof value !== 'string') return - - if (value.trim().length === 0) { - SETTINGS.forEach((setting) => { - if (setting.key === Settings.chatCompletionsEndPoint) { - this.inferenceUrl = setting.controllerProps.value as string - } - }) - } else { - this.inferenceUrl = value - } - } - } -} diff --git a/extensions/inference-triton-trtllm-extension/tsconfig.json b/extensions/inference-triton-trtllm-extension/tsconfig.json deleted file mode 100644 index 2477d58ce..000000000 --- a/extensions/inference-triton-trtllm-extension/tsconfig.json +++ /dev/null @@ -1,14 +0,0 @@ -{ - "compilerOptions": { - "target": "es2016", - "module": "ES6", - "moduleResolution": "node", - "outDir": "./dist", - "esModuleInterop": true, - "forceConsistentCasingInFileNames": true, - "strict": false, - "skipLibCheck": true, - "rootDir": "./src" - }, - "include": ["./src"] -} diff --git a/extensions/inference-triton-trtllm-extension/webpack.config.js b/extensions/inference-triton-trtllm-extension/webpack.config.js deleted file mode 100644 index 6486d5efc..000000000 --- a/extensions/inference-triton-trtllm-extension/webpack.config.js +++ /dev/null @@ -1,35 +0,0 @@ -const webpack = require('webpack') -const packageJson = require('./package.json') -const settingJson = require('./resources/settings.json') - -module.exports = { - experiments: { outputModule: true }, - entry: './src/index.ts', // Adjust the entry point to match your project's main file - mode: 'production', - module: { - rules: [ - { - test: /\.tsx?$/, - use: 'ts-loader', - exclude: /node_modules/, - }, - ], - }, - plugins: [ - new webpack.DefinePlugin({ - SETTINGS: JSON.stringify(settingJson), - MODULE: JSON.stringify(`${packageJson.name}/${packageJson.module}`), - }), - ], - output: { - filename: 'index.js', // Adjust the output file name as needed - library: { type: 'module' }, // Specify ESM output format - }, - resolve: { - extensions: ['.ts', '.js'], - }, - optimization: { - minimize: false, - }, - // Add loaders and other configuration as needed for your project -} diff --git a/extensions/model-extension/package.json b/extensions/model-extension/package.json index ca563ff9f..abd0e28a0 100644 --- a/extensions/model-extension/package.json +++ b/extensions/model-extension/package.json @@ -2,29 +2,19 @@ "name": "@janhq/model-extension", "productName": "Model Management", "version": "1.0.35", - "description": "Model Management Extension provides model exploration and seamless downloads", + "description": "Handles model lists, their details, and settings.", "main": "dist/index.js", "author": "Jan ", "license": "AGPL-3.0", "scripts": { "test": "jest", - "build": "tsc --module commonjs && rollup -c rollup.config.ts --configPlugin @rollup/plugin-typescript --bundleConfigAsCjs", - "build:publish": "rimraf *.tgz --glob && yarn build && npm pack && cpx *.tgz ../../pre-install" + "build": "rolldown -c rolldown.config.mjs", + "build:publish": "rimraf *.tgz --glob || true && yarn build && npm pack && cpx *.tgz ../../pre-install" }, "devDependencies": { - "@rollup/plugin-commonjs": "^25.0.7", - "@rollup/plugin-json": "^6.1.0", - "@rollup/plugin-node-resolve": "^15.2.3", - "@rollup/plugin-replace": "^5.0.5", - "@rollup/plugin-typescript": "^11.1.6", - "@types/pdf-parse": "^1.1.4", "cpx": "^1.5.0", - "download-cli": "^1.1.1", "rimraf": "^3.0.2", - "rollup": "^2.38.5", - "rollup-plugin-define": "^1.0.1", - "rollup-plugin-sourcemaps": "^0.6.3", - "rollup-plugin-typescript2": "^0.36.0", + "rolldown": "1.0.0-beta.1", "run-script-os": "^1.1.6", "ts-loader": "^9.5.0", "typescript": "5.3.3" @@ -35,9 +25,13 @@ "README.md" ], "dependencies": { - "@janhq/core": "file:../../core", + "@janhq/core": "../../core/package.tgz", "ky": "^1.7.2", "p-queue": "^8.0.1" }, - "bundleDependencies": [] + "bundleDependencies": [], + "installConfig": { + "hoistingLimits": "workspaces" + }, + "packageManager": "yarn@4.5.3" } diff --git a/extensions/model-extension/rolldown.config.mjs b/extensions/model-extension/rolldown.config.mjs new file mode 100644 index 000000000..0e4c866fe --- /dev/null +++ b/extensions/model-extension/rolldown.config.mjs @@ -0,0 +1,16 @@ +import { defineConfig } from 'rolldown' +import settingJson from './resources/settings.json' with { type: 'json' } + +export default defineConfig({ + input: 'src/index.ts', + output: { + format: 'esm', + file: 'dist/index.js', + }, + platform: 'browser', + define: { + SETTINGS: JSON.stringify(settingJson), + API_URL: JSON.stringify('http://127.0.0.1:39291'), + SOCKET_URL: JSON.stringify('ws://127.0.0.1:39291'), + }, +}) diff --git a/extensions/model-extension/rollup.config.ts b/extensions/model-extension/rollup.config.ts deleted file mode 100644 index 64e62480f..000000000 --- a/extensions/model-extension/rollup.config.ts +++ /dev/null @@ -1,48 +0,0 @@ -import resolve from '@rollup/plugin-node-resolve' -import sourceMaps from 'rollup-plugin-sourcemaps' -import typescript from 'rollup-plugin-typescript2' -import json from '@rollup/plugin-json' -import replace from '@rollup/plugin-replace' -import commonjs from '@rollup/plugin-commonjs' -const settingJson = require('./resources/settings.json') -const packageJson = require('./package.json') - -export default [ - { - input: `src/index.ts`, - output: [{ file: packageJson.main, format: 'es', sourcemap: true }], - // Indicate here external modules you don't wanna include in your bundle (i.e.: 'lodash') - external: [], - watch: { - include: 'src/**', - }, - plugins: [ - replace({ - preventAssignment: true, - SETTINGS: JSON.stringify(settingJson), - API_URL: JSON.stringify('http://127.0.0.1:39291'), - SOCKET_URL: JSON.stringify('ws://127.0.0.1:39291'), - }), - // Allow json resolution - json(), - // Compile TypeScript files - typescript({ - useTsconfigDeclarationDir: true, - exclude: ['**/__tests__', '**/*.test.ts'], - }), - // Compile TypeScript files - // Allow bundling cjs modules (unlike webpack, rollup doesn't understand cjs) - commonjs(), - // Allow node_modules resolution, so you can use 'external' to control - // which external modules to include in the bundle - // https://github.com/rollup/rollup-plugin-node-resolve#usage - resolve({ - extensions: ['.js', '.ts', '.svelte'], - browser: true, - }), - - // Resolve source maps to the original source - sourceMaps(), - ], - }, -] diff --git a/extensions/model-extension/src/@types/global.d.ts b/extensions/model-extension/src/@types/global.d.ts index bff3811e3..92d9df09b 100644 --- a/extensions/model-extension/src/@types/global.d.ts +++ b/extensions/model-extension/src/@types/global.d.ts @@ -1,15 +1,13 @@ -export {} -declare global { - declare const NODE: string - declare const API_URL: string - declare const SOCKET_URL: string +declare const NODE: string +declare const API_URL: string +declare const SOCKET_URL: string +declare const SETTINGS: SettingComponentProps[] - interface Core { - api: APIFunctions - events: EventEmitter - } - interface Window { - core?: Core | undefined - electronAPI?: any | undefined - } +interface Core { + api: APIFunctions + events: EventEmitter +} +interface Window { + core?: Core | undefined + electronAPI?: any | undefined } diff --git a/extensions/model-extension/src/cortex.ts b/extensions/model-extension/src/cortex.ts index ca5763962..7618e8170 100644 --- a/extensions/model-extension/src/cortex.ts +++ b/extensions/model-extension/src/cortex.ts @@ -183,6 +183,7 @@ export class CortexAPI implements ICortexAPI { model.parameters = { ...extractInferenceParams(model), ...model.parameters, + ...model.inference_params, } model.settings = { ...extractModelLoadParams(model), diff --git a/extensions/model-extension/src/index.ts b/extensions/model-extension/src/index.ts index e29084bc2..832f279f9 100644 --- a/extensions/model-extension/src/index.ts +++ b/extensions/model-extension/src/index.ts @@ -18,8 +18,6 @@ import { downloadModel } from './legacy/download' import { systemInformation } from '@janhq/core' import { deleteModelFiles } from './legacy/delete' -declare const SETTINGS: Array - export enum Settings { huggingfaceToken = 'hugging-face-access-token', } diff --git a/extensions/monitoring-extension/package.json b/extensions/monitoring-extension/package.json index e728b4629..2f827b41b 100644 --- a/extensions/monitoring-extension/package.json +++ b/extensions/monitoring-extension/package.json @@ -2,42 +2,35 @@ "name": "@janhq/monitoring-extension", "productName": "System Monitoring", "version": "1.0.10", - "description": "This extension provides system health and OS level data", + "description": "Provides system health and OS level data.", "main": "dist/index.js", "node": "dist/node/index.cjs.js", "author": "Jan ", "license": "AGPL-3.0", "scripts": { - "build": "tsc --module commonjs && rollup -c rollup.config.ts && npm run download-artifacts", + "build": "rolldown -c rolldown.config.mjs && yarn download-artifacts", "download-artifacts": "run-script-os && cpx \"bin/**\" \"dist/bin\"", "download-artifacts:darwin": "echo 'No artifacts to download for darwin'", "download-artifacts:win32": "download.bat", "download-artifacts:linux": "download https://catalog.jan.ai/vulkaninfo -o ./bin && chmod +x ./bin/vulkaninfo", - "build:publish": "rimraf *.tgz --glob && yarn build && npm pack && cpx *.tgz ../../pre-install" + "build:publish": "rimraf *.tgz --glob || true && yarn build && npm pack && cpx *.tgz ../../pre-install" }, "exports": { ".": "./dist/index.js", "./main": "./dist/node/index.cjs.js" }, "devDependencies": { - "@rollup/plugin-commonjs": "^25.0.7", - "@rollup/plugin-json": "^6.1.0", - "@rollup/plugin-node-resolve": "^15.2.3", "@types/node": "^20.11.4", "@types/node-os-utils": "^1.3.4", - "run-script-os": "^1.1.6", "cpx": "^1.5.0", + "download-cli": "^1.1.1", "rimraf": "^3.0.2", - "rollup": "^2.38.5", - "rollup-plugin-define": "^1.0.1", - "rollup-plugin-sourcemaps": "^0.6.3", - "rollup-plugin-typescript2": "^0.36.0", - "typescript": "^5.3.3", - "download-cli": "^1.1.1" + "rolldown": "1.0.0-beta.1", + "run-script-os": "^1.1.6", + "typescript": "^5.3.3" }, "dependencies": { - "@janhq/core": "file:../../core", - "@rollup/plugin-replace": "^5.0.5", + "@janhq/core": "../../core/package.tgz", "node-os-utils": "^1.3.7" }, "files": [ @@ -48,5 +41,9 @@ "bundleDependencies": [ "node-os-utils", "@janhq/core" - ] + ], + "installConfig": { + "hoistingLimits": "workspaces" + }, + "packageManager": "yarn@4.5.3" } diff --git a/extensions/monitoring-extension/rolldown.config.mjs b/extensions/monitoring-extension/rolldown.config.mjs new file mode 100644 index 000000000..3533e052b --- /dev/null +++ b/extensions/monitoring-extension/rolldown.config.mjs @@ -0,0 +1,32 @@ +import { defineConfig } from 'rolldown' +import packageJson from './package.json' with { type: 'json' } +import settingJson from './resources/settings.json' with { type: 'json' } + +export default defineConfig([ + { + input: 'src/index.ts', + output: { + format: 'esm', + file: 'dist/index.js', + }, + platform: 'browser', + define: { + NODE: JSON.stringify(`${packageJson.name}/${packageJson.node}`), + SETTINGS: JSON.stringify(settingJson), + }, + }, + { + input: 'src/node/index.ts', + external: ['@janhq/core/node'], + output: { + format: 'cjs', + file: 'dist/node/index.cjs.js', + sourcemap: false, + inlineDynamicImports: true, + }, + resolve: { + extensions: ['.js', '.ts', '.json'], + }, + platform: 'node', + }, +]) diff --git a/extensions/monitoring-extension/rollup.config.ts b/extensions/monitoring-extension/rollup.config.ts deleted file mode 100644 index b054d6291..000000000 --- a/extensions/monitoring-extension/rollup.config.ts +++ /dev/null @@ -1,71 +0,0 @@ -import resolve from '@rollup/plugin-node-resolve' -import commonjs from '@rollup/plugin-commonjs' -import sourceMaps from 'rollup-plugin-sourcemaps' -import typescript from 'rollup-plugin-typescript2' -import json from '@rollup/plugin-json' -import replace from '@rollup/plugin-replace' -const settingJson = require('./resources/settings.json') -const packageJson = require('./package.json') - -export default [ - { - input: `src/index.ts`, - output: [{ file: packageJson.main, format: 'es', sourcemap: true }], - // Indicate here external modules you don't wanna include in your bundle (i.e.: 'lodash') - external: [], - watch: { - include: 'src/**', - }, - plugins: [ - replace({ - preventAssignment: true, - NODE: JSON.stringify(`${packageJson.name}/${packageJson.node}`), - SETTINGS: JSON.stringify(settingJson), - }), - // Allow json resolution - json(), - // Compile TypeScript files - typescript({ useTsconfigDeclarationDir: true }), - // Compile TypeScript files - // Allow bundling cjs modules (unlike webpack, rollup doesn't understand cjs) - commonjs(), - // Allow node_modules resolution, so you can use 'external' to control - // which external modules to include in the bundle - // https://github.com/rollup/rollup-plugin-node-resolve#usage - resolve({ - extensions: ['.js', '.ts', '.svelte'], - }), - - // Resolve source maps to the original source - sourceMaps(), - ], - }, - { - input: `src/node/index.ts`, - output: [ - { file: 'dist/node/index.cjs.js', format: 'cjs', sourcemap: true }, - ], - // Indicate here external modules you don't wanna include in your bundle (i.e.: 'lodash') - external: ['@janhq/core/node'], - watch: { - include: 'src/node/**', - }, - plugins: [ - // Allow json resolution - json(), - // Compile TypeScript files - typescript({ useTsconfigDeclarationDir: true }), - // Allow bundling cjs modules (unlike webpack, rollup doesn't understand cjs) - commonjs(), - // Allow node_modules resolution, so you can use 'external' to control - // which external modules to include in the bundle - // https://github.com/rollup/rollup-plugin-node-resolve#usage - resolve({ - extensions: ['.ts', '.js', '.json'], - }), - - // Resolve source maps to the original source - sourceMaps(), - ], - }, -] diff --git a/extensions/monitoring-extension/src/@types/global.d.ts b/extensions/monitoring-extension/src/@types/global.d.ts index dfa96a0b1..7536fabd8 100644 --- a/extensions/monitoring-extension/src/@types/global.d.ts +++ b/extensions/monitoring-extension/src/@types/global.d.ts @@ -1,4 +1,5 @@ declare const NODE: string +declare const SETTINGS: SettingComponentProps[] type CpuGpuInfo = { cpu: { diff --git a/extensions/monitoring-extension/src/index.ts b/extensions/monitoring-extension/src/index.ts index eca71326e..5616c70a8 100644 --- a/extensions/monitoring-extension/src/index.ts +++ b/extensions/monitoring-extension/src/index.ts @@ -7,8 +7,6 @@ import { executeOnMain, } from '@janhq/core' -declare const SETTINGS: Array - enum Settings { logEnabled = 'log-enabled', logCleaningInterval = 'log-cleaning-interval', diff --git a/extensions/package.json b/extensions/package.json index b5b34bf79..df9dec545 100644 --- a/extensions/package.json +++ b/extensions/package.json @@ -3,9 +3,10 @@ "workspaces": { "packages": [ "**" - ], - "nohoist": [ - "**" ] - } + }, + "installConfig": { + "hoistingLimits": "workspaces" + }, + "packageManager": "yarn@4.5.3" } diff --git a/extensions/tensorrt-llm-extension/README.md b/extensions/tensorrt-llm-extension/README.md deleted file mode 100644 index 34a670516..000000000 --- a/extensions/tensorrt-llm-extension/README.md +++ /dev/null @@ -1,79 +0,0 @@ -# Tensorrt-LLM Extension - -Created using Jan extension example - -# Create a Jan Extension using Typescript - -Use this template to bootstrap the creation of a TypeScript Jan extension. 🚀 - -## Create Your Own Extension - -To create your own extension, you can use this repository as a template! Just follow the below instructions: - -1. Click the Use this template button at the top of the repository -2. Select Create a new repository -3. Select an owner and name for your new repository -4. Click Create repository -5. Clone your new repository - -## Initial Setup - -After you've cloned the repository to your local machine or codespace, you'll need to perform some initial setup steps before you can develop your extension. - -> [!NOTE] -> -> You'll need to have a reasonably modern version of -> [Node.js](https://nodejs.org) handy. If you are using a version manager like -> [`nodenv`](https://github.com/nodenv/nodenv) or -> [`nvm`](https://github.com/nvm-sh/nvm), you can run `nodenv install` in the -> root of your repository to install the version specified in -> [`package.json`](./package.json). Otherwise, 20.x or later should work! - -1. :hammer_and_wrench: Install the dependencies - - ```bash - npm install - ``` - -1. :building_construction: Package the TypeScript for distribution - - ```bash - npm run bundle - ``` - -1. :white_check_mark: Check your artifact - - There will be a tgz file in your extension directory now - -## Update the Extension Metadata - -The [`package.json`](package.json) file defines metadata about your extension, such as -extension name, main entry, description and version. - -When you copy this repository, update `package.json` with the name, description for your extension. - -## Update the Extension Code - -The [`src/`](./src/) directory is the heart of your extension! This contains the -source code that will be run when your extension functions are invoked. You can replace the -contents of this directory with your own code. - -There are a few things to keep in mind when writing your extension code: - -- Most Jan Extension functions are processed asynchronously. - In `index.ts`, you will see that the extension function will return a `Promise`. - - ```typescript - import { events, MessageEvent, MessageRequest } from '@janhq/core' - - function onStart(): Promise { - return events.on(MessageEvent.OnMessageSent, (data: MessageRequest) => - this.inference(data) - ) - } - ``` - - For more information about the Jan Extension Core module, see the - [documentation](https://github.com/janhq/jan/blob/main/core/README.md). - -So, what are you waiting for? Go ahead and start customizing your extension! diff --git a/extensions/tensorrt-llm-extension/jest.config.js b/extensions/tensorrt-llm-extension/jest.config.js deleted file mode 100644 index 3e32adceb..000000000 --- a/extensions/tensorrt-llm-extension/jest.config.js +++ /dev/null @@ -1,9 +0,0 @@ -/** @type {import('ts-jest').JestConfigWithTsJest} */ -module.exports = { - preset: 'ts-jest', - testEnvironment: 'node', - transform: { - 'node_modules/@janhq/core/.+\\.(j|t)s?$': 'ts-jest', - }, - transformIgnorePatterns: ['node_modules/(?!@janhq/core/.*)'], -} diff --git a/extensions/tensorrt-llm-extension/package.json b/extensions/tensorrt-llm-extension/package.json deleted file mode 100644 index 7a7ef6ef0..000000000 --- a/extensions/tensorrt-llm-extension/package.json +++ /dev/null @@ -1,84 +0,0 @@ -{ - "name": "@janhq/tensorrt-llm-extension", - "productName": "TensorRT-LLM Inference Engine", - "version": "0.0.3", - "description": "This extension enables Nvidia's TensorRT-LLM for the fastest GPU acceleration. See the [setup guide](https://jan.ai/guides/providers/tensorrt-llm/) for next steps.", - "main": "dist/index.js", - "node": "dist/node/index.cjs.js", - "author": "Jan ", - "license": "AGPL-3.0", - "config": { - "host": "127.0.0.1", - "port": "3929" - }, - "compatibility": { - "platform": [ - "win32" - ], - "app": [ - "0.1.0" - ] - }, - "tensorrtVersion": "0.1.8", - "provider": "nitro-tensorrt-llm", - "scripts": { - "test": "jest", - "build": "tsc --module commonjs && rollup -c rollup.config.ts", - "build:publish:win32": "rimraf *.tgz --glob && yarn build && cpx \"bin/**\" \"dist/bin\" && npm pack && cpx *.tgz ../../pre-install", - "build:publish:linux": "rimraf *.tgz --glob && yarn build && cpx \"bin/**\" \"dist/bin\" && npm pack && cpx *.tgz ../../pre-install", - "build:publish:darwin": "rimraf *.tgz --glob && yarn build && cpx \"bin/**\" \"dist/bin\" && npm pack && cpx *.tgz ../../pre-install", - "build:publish": "run-script-os" - }, - "exports": { - ".": "./dist/index.js", - "./main": "./dist/node/index.cjs.js" - }, - "devDependencies": { - "@rollup/plugin-commonjs": "^25.0.7", - "@rollup/plugin-json": "^6.1.0", - "@rollup/plugin-node-resolve": "^15.2.3", - "@rollup/plugin-replace": "^5.0.5", - "@types/decompress": "4.2.7", - "@types/node": "^20.11.4", - "@types/os-utils": "^0.0.4", - "@types/tcp-port-used": "^1.0.4", - "cpx": "^1.5.0", - "download-cli": "^1.1.1", - "rimraf": "^3.0.2", - "rollup": "^2.38.5", - "rollup-plugin-define": "^1.0.1", - "rollup-plugin-sourcemaps": "^0.6.3", - "rollup-plugin-typescript2": "^0.36.0", - "run-script-os": "^1.1.6", - "typescript": "^5.2.2", - "@types/jest": "^29.5.12", - "jest": "^29.7.0", - "jest-junit": "^16.0.0", - "jest-runner": "^29.7.0", - "ts-jest": "^29.2.5" - }, - "dependencies": { - "@janhq/core": "file:../../core", - "decompress": "^4.2.1", - "fetch-retry": "^5.0.6", - "rxjs": "^7.8.1", - "tcp-port-used": "^1.0.2", - "terminate": "^2.6.1", - "ulidx": "^2.3.0" - }, - "engines": { - "node": ">=18.0.0" - }, - "files": [ - "dist/*", - "package.json", - "README.md" - ], - "bundleDependencies": [ - "tcp-port-used", - "fetch-retry", - "decompress", - "@janhq/core", - "terminate" - ] -} diff --git a/extensions/tensorrt-llm-extension/resources/models.json b/extensions/tensorrt-llm-extension/resources/models.json deleted file mode 100644 index 387b71104..000000000 --- a/extensions/tensorrt-llm-extension/resources/models.json +++ /dev/null @@ -1,156 +0,0 @@ -[ - { - "sources": [ - { - "filename": "config.json", - "url": "https://catalog.jan.ai/dist/models///tensorrt-llm-v0.7.1/LlamaCorn-1.1B-Chat-fp16/config.json" - }, - { - "filename": "mistral_float16_tp1_rank0.engine", - "url": "https://catalog.jan.ai/dist/models///tensorrt-llm-v0.7.1/LlamaCorn-1.1B-Chat-fp16/mistral_float16_tp1_rank0.engine" - }, - { - "filename": "tokenizer.model", - "url": "https://catalog.jan.ai/dist/models///tensorrt-llm-v0.7.1/LlamaCorn-1.1B-Chat-fp16/tokenizer.model" - }, - { - "filename": "special_tokens_map.json", - "url": "https://catalog.jan.ai/dist/models///tensorrt-llm-v0.7.1/LlamaCorn-1.1B-Chat-fp16/special_tokens_map.json" - }, - { - "filename": "tokenizer.json", - "url": "https://catalog.jan.ai/dist/models///tensorrt-llm-v0.7.1/LlamaCorn-1.1B-Chat-fp16/tokenizer.json" - }, - { - "filename": "tokenizer_config.json", - "url": "https://catalog.jan.ai/dist/models///tensorrt-llm-v0.7.1/LlamaCorn-1.1B-Chat-fp16/tokenizer_config.json" - }, - { - "filename": "model.cache", - "url": "https://catalog.jan.ai/dist/models///tensorrt-llm-v0.7.1/LlamaCorn-1.1B-Chat-fp16/model.cache" - } - ], - "id": "llamacorn-1.1b-chat-fp16", - "object": "model", - "name": "LlamaCorn 1.1B Chat FP16", - "version": "1.0", - "description": "LlamaCorn is a refined version of TinyLlama-1.1B, optimized for conversational quality, running on consumer devices through TensorRT-LLM", - "format": "TensorRT-LLM", - "settings": { - "ctx_len": 2048, - "text_model": false - }, - "parameters": { - "max_tokens": 4096 - }, - "metadata": { - "author": "LLama", - "tags": ["TensorRT-LLM", "1B", "Finetuned"], - "size": 2151000000 - }, - "engine": "nitro-tensorrt-llm" - }, - { - "sources": [ - { - "filename": "config.json", - "url": "https://catalog.jan.ai/dist/models///tensorrt-llm-v0.7.1/TinyJensen-1.1B-Chat-fp16/config.json" - }, - { - "filename": "mistral_float16_tp1_rank0.engine", - "url": "https://catalog.jan.ai/dist/models///tensorrt-llm-v0.7.1/TinyJensen-1.1B-Chat-fp16/mistral_float16_tp1_rank0.engine" - }, - { - "filename": "tokenizer.model", - "url": "https://catalog.jan.ai/dist/models///tensorrt-llm-v0.7.1/TinyJensen-1.1B-Chat-fp16/tokenizer.model" - }, - { - "filename": "special_tokens_map.json", - "url": "https://catalog.jan.ai/dist/models///tensorrt-llm-v0.7.1/TinyJensen-1.1B-Chat-fp16/special_tokens_map.json" - }, - { - "filename": "tokenizer.json", - "url": "https://catalog.jan.ai/dist/models///tensorrt-llm-v0.7.1/TinyJensen-1.1B-Chat-fp16/tokenizer.json" - }, - { - "filename": "tokenizer_config.json", - "url": "https://catalog.jan.ai/dist/models///tensorrt-llm-v0.7.1/TinyJensen-1.1B-Chat-fp16/tokenizer_config.json" - }, - { - "filename": "model.cache", - "url": "https://catalog.jan.ai/dist/models///tensorrt-llm-v0.7.1/TinyJensen-1.1B-Chat-fp16/model.cache" - } - ], - "id": "tinyjensen-1.1b-chat-fp16", - "object": "model", - "name": "TinyJensen 1.1B Chat FP16", - "version": "1.0", - "description": "Do you want to chat with Jensen Huan? Here you are", - "format": "TensorRT-LLM", - "settings": { - "ctx_len": 2048, - "text_model": false - }, - "parameters": { - "max_tokens": 4096 - }, - "metadata": { - "author": "LLama", - "tags": ["TensorRT-LLM", "1B", "Finetuned"], - "size": 2151000000 - }, - "engine": "nitro-tensorrt-llm" - }, - { - "sources": [ - { - "filename": "config.json", - "url": "https://catalog.jan.ai/dist/models///tensorrt-llm-v0.7.1/Mistral-7B-Instruct-v0.1-int4/config.json" - }, - { - "filename": "mistral_float16_tp1_rank0.engine", - "url": "https://catalog.jan.ai/dist/models///tensorrt-llm-v0.7.1/Mistral-7B-Instruct-v0.1-int4/mistral_float16_tp1_rank0.engine" - }, - { - "filename": "tokenizer.model", - "url": "https://catalog.jan.ai/dist/models///tensorrt-llm-v0.7.1/Mistral-7B-Instruct-v0.1-int4/tokenizer.model" - }, - { - "filename": "special_tokens_map.json", - "url": "https://catalog.jan.ai/dist/models///tensorrt-llm-v0.7.1/Mistral-7B-Instruct-v0.1-int4/special_tokens_map.json" - }, - { - "filename": "tokenizer.json", - "url": "https://catalog.jan.ai/dist/models///tensorrt-llm-v0.7.1/Mistral-7B-Instruct-v0.1-int4/tokenizer.json" - }, - { - "filename": "tokenizer_config.json", - "url": "https://catalog.jan.ai/dist/models///tensorrt-llm-v0.7.1/Mistral-7B-Instruct-v0.1-int4/tokenizer_config.json" - }, - { - "filename": "model.cache", - "url": "https://catalog.jan.ai/dist/models///tensorrt-llm-v0.7.1/Mistral-7B-Instruct-v0.1-int4/model.cache" - } - ], - "id": "mistral-7b-instruct-int4", - "object": "model", - "name": "Mistral 7B Instruct v0.1 INT4", - "version": "1.0", - "description": "Mistral 7B Instruct v0.1 INT4", - "format": "TensorRT-LLM", - "settings": { - "ctx_len": 2048, - "text_model": false, - "prompt_template": "[INST] {prompt} [/INST]" - }, - "parameters": { - "max_tokens": 4096 - }, - "metadata": { - "author": "MistralAI", - "tags": ["TensorRT-LLM", "7B", "Finetuned"], - "size": 3840000000 - }, - "engine": "nitro-tensorrt-llm" - } -] diff --git a/extensions/tensorrt-llm-extension/rollup.config.ts b/extensions/tensorrt-llm-extension/rollup.config.ts deleted file mode 100644 index 50b4350e7..000000000 --- a/extensions/tensorrt-llm-extension/rollup.config.ts +++ /dev/null @@ -1,79 +0,0 @@ -import resolve from '@rollup/plugin-node-resolve' -import commonjs from '@rollup/plugin-commonjs' -import sourceMaps from 'rollup-plugin-sourcemaps' -import typescript from 'rollup-plugin-typescript2' -import json from '@rollup/plugin-json' -import replace from '@rollup/plugin-replace' -const packageJson = require('./package.json') -const modelsJson = require('./resources/models.json') - -export default [ - { - input: `src/index.ts`, - output: [{ file: packageJson.main, format: 'es', sourcemap: true }], - watch: { - include: 'src/**', - }, - plugins: [ - replace({ - preventAssignment: true, - MODELS: JSON.stringify(modelsJson), - TENSORRT_VERSION: JSON.stringify(packageJson.tensorrtVersion), - PROVIDER: JSON.stringify(packageJson.provider), - DOWNLOAD_RUNNER_URL: - process.platform === 'win32' - ? JSON.stringify( - 'https://github.com/janhq/cortex.tensorrt-llm/releases/download/windows-v-tensorrt-llm-v0.7.1/nitro-windows-v-tensorrt-llm-v0.7.1-amd64-all-arch.tar.gz' - ) - : JSON.stringify( - 'https://github.com/janhq/cortex.tensorrt-llm/releases/download/linux-v/nitro-linux-v-amd64-tensorrt-llm-.tar.gz' - ), - NODE: JSON.stringify(`${packageJson.name}/${packageJson.node}`), - INFERENCE_URL: JSON.stringify( - process.env.INFERENCE_URL || - `${packageJson.config?.protocol ?? 'http'}://${packageJson.config?.host}:${packageJson.config?.port}/v1/chat/completions` - ), - COMPATIBILITY: JSON.stringify(packageJson.compatibility), - }), - json(), - typescript({ useTsconfigDeclarationDir: true }), - commonjs(), - resolve({ - extensions: ['.js', '.ts', '.svelte'], - }), - sourceMaps(), - ], - }, - { - input: `src/node/index.ts`, - output: [ - { file: 'dist/node/index.cjs.js', format: 'cjs', sourcemap: true }, - ], - external: ['@janhq/core/node'], - watch: { - include: 'src/node/**', - }, - plugins: [ - replace({ - preventAssignment: true, - TENSORRT_VERSION: JSON.stringify(packageJson.tensorrtVersion), - PROVIDER: JSON.stringify(packageJson.provider), - LOAD_MODEL_URL: JSON.stringify( - `${packageJson.config?.protocol ?? 'http'}://${packageJson.config?.host}:${packageJson.config?.port}/inferences/tensorrtllm/loadmodel` - ), - TERMINATE_ENGINE_URL: JSON.stringify( - `${packageJson.config?.protocol ?? 'http'}://${packageJson.config?.host}:${packageJson.config?.port}/processmanager/destroy` - ), - ENGINE_HOST: JSON.stringify(packageJson.config?.host ?? '127.0.0.1'), - ENGINE_PORT: JSON.stringify(packageJson.config?.port ?? '3928'), - }), - json(), - typescript({ useTsconfigDeclarationDir: true }), - commonjs(), - resolve({ - extensions: ['.ts', '.js', '.json'], - }), - sourceMaps(), - ], - }, -] diff --git a/extensions/tensorrt-llm-extension/src/@types/global.d.ts b/extensions/tensorrt-llm-extension/src/@types/global.d.ts deleted file mode 100644 index b550080f7..000000000 --- a/extensions/tensorrt-llm-extension/src/@types/global.d.ts +++ /dev/null @@ -1,11 +0,0 @@ -declare const NODE: string -declare const INFERENCE_URL: string -declare const LOAD_MODEL_URL: string -declare const TERMINATE_ENGINE_URL: string -declare const ENGINE_HOST: string -declare const ENGINE_PORT: string -declare const DOWNLOAD_RUNNER_URL: string -declare const TENSORRT_VERSION: string -declare const COMPATIBILITY: object -declare const PROVIDER: string -declare const MODELS: Array diff --git a/extensions/tensorrt-llm-extension/src/index.test.ts b/extensions/tensorrt-llm-extension/src/index.test.ts deleted file mode 100644 index 48d6e71d7..000000000 --- a/extensions/tensorrt-llm-extension/src/index.test.ts +++ /dev/null @@ -1,186 +0,0 @@ -import TensorRTLLMExtension from '../src/index' -import { - executeOnMain, - systemInformation, - fs, - baseName, - joinPath, - downloadFile, -} from '@janhq/core' - -jest.mock('@janhq/core', () => ({ - ...jest.requireActual('@janhq/core/node'), - LocalOAIEngine: jest.fn().mockImplementation(function () { - // @ts-ignore - this.registerModels = () => { - return Promise.resolve() - } - // @ts-ignore - return this - }), - systemInformation: jest.fn(), - fs: { - existsSync: jest.fn(), - mkdir: jest.fn(), - }, - joinPath: jest.fn(), - baseName: jest.fn(), - downloadFile: jest.fn(), - executeOnMain: jest.fn(), - showToast: jest.fn(), - events: { - emit: jest.fn(), - // @ts-ignore - on: (event, func) => { - func({ fileName: './' }) - }, - off: jest.fn(), - }, -})) - -// @ts-ignore -global.COMPATIBILITY = { - platform: ['win32'], -} -// @ts-ignore -global.PROVIDER = 'tensorrt-llm' -// @ts-ignore -global.INFERENCE_URL = 'http://localhost:5000' -// @ts-ignore -global.NODE = 'node' -// @ts-ignore -global.MODELS = [] -// @ts-ignore -global.TENSORRT_VERSION = '' -// @ts-ignore -global.DOWNLOAD_RUNNER_URL = '' - -describe('TensorRTLLMExtension', () => { - let extension: TensorRTLLMExtension - - beforeEach(() => { - // @ts-ignore - extension = new TensorRTLLMExtension() - jest.clearAllMocks() - }) - - describe('compatibility', () => { - it('should return the correct compatibility', () => { - const result = extension.compatibility() - expect(result).toEqual({ - platform: ['win32'], - }) - }) - }) - - describe('install', () => { - it('should install if compatible', async () => { - const mockSystemInfo: any = { - osInfo: { platform: 'win32' }, - gpuSetting: { gpus: [{ arch: 'ampere', name: 'NVIDIA GPU' }] }, - } - ;(executeOnMain as jest.Mock).mockResolvedValue({}) - ;(systemInformation as jest.Mock).mockResolvedValue(mockSystemInfo) - ;(fs.existsSync as jest.Mock).mockResolvedValue(false) - ;(fs.mkdir as jest.Mock).mockResolvedValue(undefined) - ;(baseName as jest.Mock).mockResolvedValue('./') - ;(joinPath as jest.Mock).mockResolvedValue('./') - ;(downloadFile as jest.Mock).mockResolvedValue({}) - - await extension.install() - - expect(executeOnMain).toHaveBeenCalled() - }) - - it('should not install if not compatible', async () => { - const mockSystemInfo: any = { - osInfo: { platform: 'linux' }, - gpuSetting: { gpus: [{ arch: 'pascal', name: 'NVIDIA GPU' }] }, - } - ;(systemInformation as jest.Mock).mockResolvedValue(mockSystemInfo) - - jest.spyOn(extension, 'registerModels').mockReturnValue(Promise.resolve()) - await extension.install() - - expect(executeOnMain).not.toHaveBeenCalled() - }) - }) - - describe('installationState', () => { - it('should return NotCompatible if not compatible', async () => { - const mockSystemInfo: any = { - osInfo: { platform: 'linux' }, - gpuSetting: { gpus: [{ arch: 'pascal', name: 'NVIDIA GPU' }] }, - } - ;(systemInformation as jest.Mock).mockResolvedValue(mockSystemInfo) - - const result = await extension.installationState() - - expect(result).toBe('NotCompatible') - }) - - it('should return Installed if executable exists', async () => { - const mockSystemInfo: any = { - osInfo: { platform: 'win32' }, - gpuSetting: { gpus: [{ arch: 'ampere', name: 'NVIDIA GPU' }] }, - } - ;(systemInformation as jest.Mock).mockResolvedValue(mockSystemInfo) - ;(fs.existsSync as jest.Mock).mockResolvedValue(true) - - const result = await extension.installationState() - - expect(result).toBe('Installed') - }) - - it('should return NotInstalled if executable does not exist', async () => { - const mockSystemInfo: any = { - osInfo: { platform: 'win32' }, - gpuSetting: { gpus: [{ arch: 'ampere', name: 'NVIDIA GPU' }] }, - } - ;(systemInformation as jest.Mock).mockResolvedValue(mockSystemInfo) - ;(fs.existsSync as jest.Mock).mockResolvedValue(false) - - const result = await extension.installationState() - - expect(result).toBe('NotInstalled') - }) - }) - - describe('isCompatible', () => { - it('should return true for compatible system', () => { - const mockInfo: any = { - osInfo: { platform: 'win32' }, - gpuSetting: { gpus: [{ arch: 'ampere', name: 'NVIDIA GPU' }] }, - } - - const result = extension.isCompatible(mockInfo) - - expect(result).toBe(true) - }) - - it('should return false for incompatible system', () => { - const mockInfo: any = { - osInfo: { platform: 'linux' }, - gpuSetting: { gpus: [{ arch: 'pascal', name: 'AMD GPU' }] }, - } - - const result = extension.isCompatible(mockInfo) - - expect(result).toBe(false) - }) - }) -}) - -describe('GitHub Release File URL Test', () => { - const url = 'https://github.com/janhq/cortex.tensorrt-llm/releases/download/windows-v0.1.8-tensorrt-llm-v0.7.1/nitro-windows-v0.1.8-tensorrt-llm-v0.7.1-amd64-all-arch.tar.gz'; - - it('should return a status code 200 for the release file URL', async () => { - const response = await fetch(url, { method: 'HEAD' }); - expect(response.status).toBe(200); - }); - - it('should not return a 404 status', async () => { - const response = await fetch(url, { method: 'HEAD' }); - expect(response.status).not.toBe(404); - }); -}); diff --git a/extensions/tensorrt-llm-extension/src/index.ts b/extensions/tensorrt-llm-extension/src/index.ts deleted file mode 100644 index d9c89242f..000000000 --- a/extensions/tensorrt-llm-extension/src/index.ts +++ /dev/null @@ -1,197 +0,0 @@ -/** - * @module tensorrt-llm-extension/src/index - */ - -import { - Compatibility, - DownloadEvent, - DownloadRequest, - DownloadState, - InstallationState, - baseName, - downloadFile, - events, - executeOnMain, - joinPath, - showToast, - systemInformation, - LocalOAIEngine, - fs, - MessageRequest, - ModelEvent, - getJanDataFolderPath, - SystemInformation, - Model, -} from '@janhq/core' - -/** - * TensorRTLLMExtension - Implementation of LocalOAIEngine - * @extends BaseOAILocalInferenceProvider - * Provide pre-populated models for TensorRTLLM - */ -export default class TensorRTLLMExtension extends LocalOAIEngine { - /** - * Override custom function name for loading and unloading model - * Which are implemented from node module - */ - override provider = PROVIDER - override inferenceUrl = INFERENCE_URL - override nodeModule = NODE - - private supportedGpuArch = ['ampere', 'ada'] - - override compatibility() { - return COMPATIBILITY as unknown as Compatibility - } - - override async onLoad(): Promise { - super.onLoad() - - if ((await this.installationState()) === 'Installed') { - const models = MODELS as unknown as Model[] - this.registerModels(models) - } - } - - override async install(): Promise { - await this.removePopulatedModels() - - const info = await systemInformation() - - if (!this.isCompatible(info)) return - - const janDataFolderPath = await getJanDataFolderPath() - const engineVersion = TENSORRT_VERSION - - const executableFolderPath = await joinPath([ - janDataFolderPath, - 'engines', - this.provider, - engineVersion, - info.gpuSetting?.gpus[0].arch, - ]) - - if (!(await fs.existsSync(executableFolderPath))) { - await fs.mkdir(executableFolderPath) - } - - const placeholderUrl = DOWNLOAD_RUNNER_URL - const tensorrtVersion = TENSORRT_VERSION - - const url = placeholderUrl - .replace(//g, tensorrtVersion) - .replace(//g, info.gpuSetting!.gpus[0]!.arch!) - - const tarball = await baseName(url) - - const tarballFullPath = await joinPath([executableFolderPath, tarball]) - const downloadRequest: DownloadRequest = { - url, - localPath: tarballFullPath, - extensionId: this.name, - downloadType: 'extension', - } - downloadFile(downloadRequest) - - const onFileDownloadSuccess = async (state: DownloadState) => { - // if other download, ignore - if (state.fileName !== tarball) return - events.off(DownloadEvent.onFileDownloadSuccess, onFileDownloadSuccess) - await executeOnMain( - this.nodeModule, - 'decompressRunner', - tarballFullPath, - executableFolderPath - ) - events.emit(DownloadEvent.onFileUnzipSuccess, state) - - // Prepopulate models as soon as it's ready - const models = MODELS as unknown as Model[] - this.registerModels(models).then(() => { - showToast( - 'Extension installed successfully.', - 'New models are added to Model Hub.' - ) - }) - } - events.on(DownloadEvent.onFileDownloadSuccess, onFileDownloadSuccess) - } - - private async removePopulatedModels(): Promise { - const models = MODELS as unknown as Model[] - console.debug(`removePopulatedModels`, JSON.stringify(models)) - const janDataFolderPath = await getJanDataFolderPath() - const modelFolderPath = await joinPath([janDataFolderPath, 'models']) - - for (const model of models) { - const modelPath = await joinPath([modelFolderPath, model.id]) - - try { - await fs.rm(modelPath) - } catch (err) { - console.error(`Error removing model ${modelPath}`, err) - } - } - events.emit(ModelEvent.OnModelsUpdate, {}) - } - - override async loadModel(model: Model): Promise { - if ((await this.installationState()) === 'Installed') - return super.loadModel(model) - - throw new Error('EXTENSION_IS_NOT_INSTALLED::TensorRT-LLM extension') - } - - override async installationState(): Promise { - const info = await systemInformation() - - if (!this.isCompatible(info)) return 'NotCompatible' - const firstGpu = info.gpuSetting?.gpus[0] - const janDataFolderPath = await getJanDataFolderPath() - const engineVersion = TENSORRT_VERSION - - const enginePath = await joinPath([ - janDataFolderPath, - 'engines', - this.provider, - engineVersion, - firstGpu.arch, - info.osInfo.platform === 'win32' ? 'nitro.exe' : 'nitro', - ]) - - // For now, we just check the executable of nitro x tensor rt - return (await fs.existsSync(enginePath)) ? 'Installed' : 'NotInstalled' - } - - override stopInference() { - if (!this.loadedModel) return - showToast( - 'Unable to Stop Inference', - 'The model does not support stopping inference.' - ) - return Promise.resolve() - } - - override async inference(data: MessageRequest) { - if (!this.loadedModel) return - // TensorRT LLM Extension supports streaming only - if (data.model && data.model.parameters) data.model.parameters.stream = true - super.inference(data) - } - - isCompatible(info: SystemInformation): info is Required & { - gpuSetting: { gpus: { arch: string }[] } - } { - const firstGpu = info.gpuSetting?.gpus[0] - return ( - !!info.osInfo && - !!info.gpuSetting && - !!firstGpu && - info.gpuSetting.gpus.length > 0 && - this.compatibility().platform.includes(info.osInfo.platform) && - !!firstGpu.arch && - firstGpu.name.toLowerCase().includes('nvidia') && - this.supportedGpuArch.includes(firstGpu.arch) - ) - } -} diff --git a/extensions/tensorrt-llm-extension/src/node/index.ts b/extensions/tensorrt-llm-extension/src/node/index.ts deleted file mode 100644 index d02427170..000000000 --- a/extensions/tensorrt-llm-extension/src/node/index.ts +++ /dev/null @@ -1,325 +0,0 @@ -import path from 'path' -import { ChildProcessWithoutNullStreams, spawn } from 'child_process' -import tcpPortUsed from 'tcp-port-used' -import fetchRT from 'fetch-retry' -import { - log, - getJanDataFolderPath, - SystemInformation, - PromptTemplate, -} from '@janhq/core/node' -import decompress from 'decompress' -import terminate from 'terminate' - -// Polyfill fetch with retry -const fetchRetry = fetchRT(fetch) - -const supportedPlatform = (): string[] => ['win32', 'linux'] -const supportedGpuArch = (): string[] => ['ampere', 'ada'] -const PORT_CHECK_INTERVAL = 100 - -/** - * The response object for model init operation. - */ -interface ModelLoadParams { - engine_path: string - ctx_len: number -} - -// The subprocess instance for Engine -let subprocess: ChildProcessWithoutNullStreams | undefined = undefined - -/** - * Initializes a engine subprocess to load a machine learning model. - * @param params - The model load settings. - */ -async function loadModel( - params: any, - systemInfo?: SystemInformation -): Promise<{ error: Error | undefined }> { - // modelFolder is the absolute path to the running model folder - // e.g. ~/jan/models/llama-2 - let modelFolder = params.modelFolder - - if (params.model.settings?.prompt_template) { - const promptTemplate = params.model.settings.prompt_template - const prompt = promptTemplateConverter(promptTemplate) - if (prompt?.error) { - return Promise.reject(prompt.error) - } - params.model.settings.system_prompt = prompt.system_prompt - params.model.settings.user_prompt = prompt.user_prompt - params.model.settings.ai_prompt = prompt.ai_prompt - } - - const settings: ModelLoadParams = { - engine_path: modelFolder, - ctx_len: params.model.settings.ctx_len ?? 2048, - ...params.model.settings, - } - if (!systemInfo) { - throw new Error('Cannot get system info. Unable to start nitro x tensorrt.') - } - return runEngineAndLoadModel(settings, systemInfo) -} - -/** - * Stops a Engine subprocess. - */ -function unloadModel(): Promise { - const controller = new AbortController() - setTimeout(() => controller.abort(), 5000) - debugLog(`Request to kill engine`) - - const killRequest = () => { - return fetch(TERMINATE_ENGINE_URL, { - method: 'DELETE', - signal: controller.signal, - }) - .then(() => { - subprocess = undefined - }) - .catch(() => {}) // Do nothing with this attempt - .then(() => - tcpPortUsed.waitUntilFree( - parseInt(ENGINE_PORT), - PORT_CHECK_INTERVAL, - 5000 - ) - ) // Wait for port available - .then(() => debugLog(`Engine process is terminated`)) - .catch((err) => { - debugLog( - `Could not kill running process on port ${ENGINE_PORT}. Might be another process running on the same port? ${err}` - ) - throw 'PORT_NOT_AVAILABLE' - }) - } - - if (subprocess?.pid) { - log(`[CORTEX]:: Killing PID ${subprocess.pid}`) - const pid = subprocess.pid - return new Promise((resolve, reject) => { - terminate(pid, function (err) { - if (err) { - return killRequest() - } else { - return tcpPortUsed - .waitUntilFree(parseInt(ENGINE_PORT), PORT_CHECK_INTERVAL, 5000) - .then(() => resolve()) - .then(() => log(`[CORTEX]:: cortex process is terminated`)) - .catch(() => { - killRequest() - }) - } - }) - }) - } else { - return killRequest() - } -} -/** - * 1. Spawn engine process - * 2. Load model into engine subprocess - * @returns - */ -async function runEngineAndLoadModel( - settings: ModelLoadParams, - systemInfo: SystemInformation -) { - return unloadModel() - .then(() => runEngine(systemInfo)) - .then(() => loadModelRequest(settings)) - .catch((err) => { - // TODO: Broadcast error so app could display proper error message - debugLog(`${err}`, 'Error') - return { error: err } - }) -} - -/** - * Loads a LLM model into the Engine subprocess by sending a HTTP POST request. - */ -async function loadModelRequest( - settings: ModelLoadParams -): Promise<{ error: Error | undefined }> { - debugLog(`Loading model with params ${JSON.stringify(settings)}`) - return fetchRetry(LOAD_MODEL_URL, { - method: 'POST', - headers: { - 'Content-Type': 'application/json', - }, - body: JSON.stringify(settings), - retries: 3, - retryDelay: 500, - }) - .then((res) => { - debugLog(`Load model success with response ${JSON.stringify(res)}`) - return Promise.resolve({ error: undefined }) - }) - .catch((err) => { - debugLog(`Load model failed with error ${err}`, 'Error') - return Promise.resolve({ error: err }) - }) -} - -/** - * Spawns engine subprocess. - */ -async function runEngine(systemInfo: SystemInformation): Promise { - debugLog(`Spawning engine subprocess...`) - if (systemInfo.gpuSetting == null) { - return Promise.reject( - 'No GPU information found. Please check your GPU setting.' - ) - } - - if (systemInfo.gpuSetting?.gpus.length === 0) { - return Promise.reject('No GPU found. Please check your GPU setting.') - } - - if (systemInfo.osInfo == null) { - return Promise.reject( - 'No OS information found. Please check your OS setting.' - ) - } - const platform = systemInfo.osInfo.platform - if (platform == null || supportedPlatform().includes(platform) === false) { - return Promise.reject( - 'No OS architecture found. Please check your OS setting.' - ) - } - - const gpu = systemInfo.gpuSetting?.gpus[0] - if (gpu.name.toLowerCase().includes('nvidia') === false) { - return Promise.reject('No Nvidia GPU found. Please check your GPU setting.') - } - const gpuArch = gpu.arch - if (gpuArch == null || supportedGpuArch().includes(gpuArch) === false) { - return Promise.reject( - `Your GPU: ${gpu.name} is not supported. Only ${supportedGpuArch().join( - ', ' - )} series are supported.` - ) - } - const janDataFolderPath = await getJanDataFolderPath() - const tensorRtVersion = TENSORRT_VERSION - const provider = PROVIDER - - return new Promise((resolve, reject) => { - // Current directory by default - - const executableFolderPath = path.join( - janDataFolderPath, - 'engines', - provider, - tensorRtVersion, - gpuArch - ) - const nitroExecutablePath = path.join( - executableFolderPath, - platform === 'win32' ? 'nitro.exe' : 'nitro' - ) - - const args: string[] = ['1', ENGINE_HOST, ENGINE_PORT] - // Execute the binary - debugLog(`Spawn nitro at path: ${nitroExecutablePath}, and args: ${args}`) - subprocess = spawn(nitroExecutablePath, args, { - cwd: executableFolderPath, - env: { - ...process.env, - }, - }) - - // Handle subprocess output - subprocess.stdout.on('data', (data: any) => { - debugLog(`${data}`) - }) - - subprocess.stderr.on('data', (data: any) => { - debugLog(`${data}`) - }) - - subprocess.on('close', (code: any) => { - debugLog(`Engine exited with code: ${code}`) - subprocess = undefined - reject(`child process exited with code ${code}`) - }) - - tcpPortUsed - .waitUntilUsed(parseInt(ENGINE_PORT), PORT_CHECK_INTERVAL, 30000) - .then(() => { - debugLog(`Engine is ready`) - resolve() - }) - }) -} - -function debugLog(message: string, level: string = 'Debug') { - log(`[TENSORRT_LLM_NITRO]::${level}:${message}`) -} - -const decompressRunner = async (zipPath: string, output: string) => { - console.debug(`Decompressing ${zipPath} to ${output}...`) - try { - const files = await decompress(zipPath, output) - console.debug('Decompress finished!', files) - } catch (err) { - console.error(`Decompress ${zipPath} failed: ${err}`) - } -} - -/** - * Parse prompt template into agrs settings - * @param promptTemplate Template as string - * @returns - */ -function promptTemplateConverter(promptTemplate: string): PromptTemplate { - // Split the string using the markers - const systemMarker = '{system_message}' - const promptMarker = '{prompt}' - - if ( - promptTemplate.includes(systemMarker) && - promptTemplate.includes(promptMarker) - ) { - // Find the indices of the markers - const systemIndex = promptTemplate.indexOf(systemMarker) - const promptIndex = promptTemplate.indexOf(promptMarker) - - // Extract the parts of the string - const system_prompt = promptTemplate.substring(0, systemIndex) - const user_prompt = promptTemplate.substring( - systemIndex + systemMarker.length, 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"dev": "rollup -c -w", - "build": "rimraf ./dist && rollup -c", + "build": "rimraf ./dist || true && rollup -c", "test": "jest" }, "peerDependencies": { @@ -46,24 +45,33 @@ "ts-jest": "^29.2.5" }, "devDependencies": { - "@rollup/plugin-node-resolve": "^15.2.3", - "@rollup/plugin-terser": "^0.4.4", - "@testing-library/dom": "^10.4.0", + "@rollup/plugin-node-resolve": "15.2.3", + "@rollup/plugin-terser": "0.4.4", + "@testing-library/dom": "10.4.0", "@testing-library/jest-dom": "^6.5.0", "@testing-library/react": "^16.0.1", "@testing-library/user-event": "^14.5.2", "@types/jest": "^29.5.12", + "@types/react": "^18.3.12", + "@types/react-dom": "^19", + "class-variance-authority": "^0.7.0", "jest-environment-jsdom": "^29.7.0", "jest-transform-css": "^6.0.1", "prettier": "^3.0.3", "prettier-plugin-tailwindcss": "^0.5.6", - "rollup": "^4.12.0", - "rollup-plugin-bundle-size": "^1.0.3", - "rollup-plugin-commonjs": "^10.1.0", - "rollup-plugin-copy": "^3.5.0", - "rollup-plugin-dts": "^6.1.0", - "rollup-plugin-peer-deps-external": "^2.2.4", - "rollup-plugin-postcss": "^4.0.2", - "rollup-plugin-typescript2": "^0.36.0" - } + "react": "^19.0.0", + "react-dom": "^19.0.0", + "rimraf": "^6.0.1", + "rollup": "4.12.0", + "rollup-plugin-bundle-size": "1.0.3", + "rollup-plugin-commonjs": "10.1.0", + "rollup-plugin-copy": "3.5.0", + "rollup-plugin-dts": "6.1.0", + "rollup-plugin-peer-deps-external": "2.2.4", + "rollup-plugin-postcss": "4.0.2", + "rollup-plugin-typescript2": "0.36.0", + "sass": "^1.83.1", + "typescript": "^5.7.2" + }, + "packageManager": "yarn@4.5.3" } diff --git a/joi/rollup.config.mjs b/joi/rollup.config.mjs index 8f20635a5..6577135dc 100644 --- a/joi/rollup.config.mjs +++ b/joi/rollup.config.mjs @@ -22,18 +22,12 @@ export default [ output: [ { file: packageJson.main, - format: 'cjs', - sourcemap: false, - exports: 'named', - name: packageJson.name, - }, - { - file: packageJson.module, format: 'es', exports: 'named', sourcemap: false, }, ], + external: ['react', 'typescript', 'class-variance-authority'], plugins: [ postcss({ plugins: [autoprefixer(), tailwindcss(tailwindConfig)], @@ -41,19 +35,27 @@ export default [ use: { sass: { silenceDeprecations: ['legacy-js-api'], + api: 'modern', }, }, minimize: true, extract: 'main.css', }), + peerDepsExternal({ includeDependencies: true }), - resolve(), commonjs(), + resolve(), typescript({ tsconfig: './tsconfig.json', typescript: typescriptEngine, sourceMap: false, - exclude: ['docs', 'dist', 'node_modules/**'], + exclude: [ + 'docs', + 'dist', + 'node_modules/**', + '**/*.test.ts', + '**/*.test.tsx', + ], }), terser(), ], diff --git a/joi/tsconfig.json b/joi/tsconfig.json index 25e2ee66f..4aed01c50 100644 --- a/joi/tsconfig.json +++ b/joi/tsconfig.json @@ -13,5 +13,5 @@ "esModuleInterop": true }, "include": ["src/**/*"], - "exclude": ["node_modules"] + "exclude": ["node_modules", "*.test.ts"] } diff --git a/package.json b/package.json index 8b24f14ba..743406122 100644 --- a/package.json +++ b/package.json @@ -8,13 +8,6 @@ "electron", "web", "server" - ], - "nohoist": [ - "joi", - "core", - "electron", - "web", - "server" ] }, "scripts": { @@ -23,35 +16,39 @@ "test:coverage": "jest --coverage", "test": "yarn workspace jan test:e2e", "test-local": "yarn lint && yarn build:test && yarn test", - "pre-install:darwin": "find extensions -type f -path \"**/*.tgz\" -exec cp {} pre-install \\;", - "pre-install:linux": "find extensions -type f -path \"**/*.tgz\" -exec cp {} pre-install \\;", - "pre-install:win32": "powershell -Command \"Get-ChildItem -Path \"extensions\" -Recurse -File -Filter \"*.tgz\" | ForEach-Object { Copy-Item -Path $_.FullName -Destination \"pre-install\" }\"", - "pre-install": "run-script-os", "copy:assets": "cpx \"pre-install/*.tgz\" \"electron/pre-install/\" && cpx \"themes/**\" \"electron/themes\"", "dev:electron": "yarn copy:assets && yarn workspace jan dev", "dev:web": "yarn workspace @janhq/web dev", "dev:server": "yarn workspace @janhq/server dev", - "dev": "turbo run dev --parallel --filter=!@janhq/server", - "build:server": "cd server && yarn install && yarn run build", - "build:core": "cd core && yarn install && yarn run build", + "dev": "concurrently -n \"NEXT,ELECTRON\" -c \"yellow,blue\" --kill-others \"yarn dev:web\" \"yarn dev:electron\"", + "build:server": "cd server && yarn build", + "build:core": "cd core && yarn build && yarn pack", "build:web": "yarn workspace @janhq/web build && cpx \"web/out/**\" \"electron/renderer/\"", "build:electron": "yarn copy:assets && yarn workspace jan build", "build:electron:test": "yarn workspace jan build:test", - "build:extensions": "rimraf ./pre-install/*.tgz && turbo run @janhq/core#build && cd extensions && yarn install && turbo run build:publish && cd .. && yarn pre-install", - "build:test": "yarn copy:assets && turbo run @janhq/web#build && cpx \"web/out/**\" \"electron/renderer/\" && turbo run build:test", + "build:extensions": "rimraf ./pre-install/*.tgz || true && yarn workspace @janhq/core build && cd extensions && yarn install && yarn workspaces foreach -Apt run build:publish", + "build:test": "yarn copy:assets && yarn workspace @janhq/web build && cpx \"web/out/**\" \"electron/renderer/\" && yarn workspace jan build:test", "build": "yarn build:web && yarn build:electron", "build:publish": "yarn copy:assets && yarn build:web && yarn workspace jan build:publish", "dev:joi": "yarn workspace @janhq/joi install && yarn workspace @janhq/joi dev", - "build:joi": "yarn workspace @janhq/joi install && yarn workspace @janhq/joi build", + "build:joi": "yarn workspace @janhq/joi build", "prepare": "husky" }, "devDependencies": { - "concurrently": "^8.2.1", + "concurrently": "^9.1.0", "cpx": "^1.5.0", "husky": "^9.1.5", + "jest": "^29.7.0", + "jest-environment-jsdom": "^29.7.0", "rimraf": "^3.0.2", - "run-script-os": "^1.1.6", "wait-on": "^7.0.1" }, - "version": "0.0.0" + "version": "0.0.0", + "installConfig": { + "hoistingLimits": "workspaces" + }, + "resolutions": { + "yallist": "4.0.0" + }, + "packageManager": "yarn@4.5.3" } diff --git a/server/main.ts b/server/main.ts deleted file mode 100644 index b69197d15..000000000 --- a/server/main.ts +++ /dev/null @@ -1,6 +0,0 @@ -import { setup } from './helpers/setup' -import { startServer as start } from './index' -/** - * Setup extensions and start the server - */ -setup().then(() => start()) diff --git a/server/package.json b/server/package.json index 634c91fe0..fed08a3e7 100644 --- a/server/package.json +++ b/server/package.json @@ -1,38 +1,28 @@ { "name": "@janhq/server", "version": "0.1.3", - "main": "build/index.js", - "types": "build/index.d.ts", + "main": "dist/index.js", "author": "Jan ", "license": "AGPL-3.0", "homepage": "https://jan.ai", - "description": "Use offline LLMs with your own data. Run open source models like Llama2 or Falcon on your internal computers/servers.", + "description": "Jan API Server proxies route all requests to cortex.cpp server with customized configurations.", "files": [ "build/**", "cortex.json" ], "scripts": { "lint": "eslint . --ext \".js,.jsx,.ts,.tsx\"", - "test:e2e": "playwright test --workers=1", - "dev": "tsc --watch & node --watch build/main.js", - "build": "tsc" + "build": "rolldown -c rolldown.config.mjs" }, "dependencies": { - "@alumna/reflect": "^1.1.3", - "@cyclic.sh/s3fs": "^1.2.9", "@fastify/cors": "^10.0.1", "@fastify/http-proxy": "^10.0.0", "@fastify/static": "^6.12.0", "@fastify/swagger": "^9.4.0", "@fastify/swagger-ui": "5.2.0", - "@janhq/core": "link:./core", - "@npmcli/arborist": "^7.3.1", + "@janhq/core": "link:../core", "dotenv": "^16.3.1", "fastify": "^5.2.0", - "fetch-retry": "^5.0.6", - "node-fetch": "2", - "request": "^2.88.2", - "request-progress": "^3.0.0", "tcp-port-used": "^1.0.2" }, "devDependencies": { @@ -42,7 +32,12 @@ "@typescript-eslint/eslint-plugin": "^6.7.3", "@typescript-eslint/parser": "^6.7.3", "eslint-plugin-react": "^7.34.0", + "rolldown": "1.0.0-beta.1", "run-script-os": "^1.1.6", "typescript": "^5.3.3" - } + }, + "bundleDependencies": [ + "@fastify/swagger-ui" + ], + "packageManager": "yarn@4.5.3" } diff --git a/server/rolldown.config.mjs b/server/rolldown.config.mjs new file mode 100644 index 000000000..c74655577 --- /dev/null +++ b/server/rolldown.config.mjs @@ -0,0 +1,18 @@ +import { defineConfig } from 'rolldown' + +export default defineConfig([ + { + input: 'index.ts', + output: { + format: 'cjs', + file: 'dist/index.js', + sourcemap: true, + inlineDynamicImports: true, + }, + resolve: { + extensions: ['.js', '.ts'], + }, + external: ['@fastify/swagger-ui'], + platform: 'node', + }, +]) diff --git a/server/tsconfig.json b/server/tsconfig.json index d70798403..98ea8f886 100644 --- a/server/tsconfig.json +++ b/server/tsconfig.json @@ -4,8 +4,8 @@ "module": "commonjs", "noImplicitAny": true, "sourceMap": true, - "strict": true, - "outDir": "./build", + "strict": false, + "outDir": "./dist", "rootDir": "./", "noEmitOnError": true, "esModuleInterop": true, diff --git a/turbo.json b/turbo.json deleted file mode 100644 index bfb6b0893..000000000 --- a/turbo.json +++ /dev/null @@ -1,50 +0,0 @@ -{ - "$schema": "https://turbo.build/schema.json", - "pipeline": { - "build": { - "outputs": [".next/**", "!.next/cache/**", "dist/**"] - }, - "dev": { - "cache": false - }, - "@janhq/web#dev": { - "cache": false, - "persistent": true, - "dependsOn": ["@janhq/core#build", "@janhq/joi#build"] - }, - "@janhq/server#build": { - "outputs": ["dist/**"], - "dependsOn": ["@janhq/core#build"] - }, - "jan#dev": { - "cache": false, - "persistent": true, - "dependsOn": ["@janhq/core#build", "@janhq/server#build"] - }, - "@janhq/core#build": { - "outputs": ["dist/**"] - }, - "@janhq/web#build": { - "outputs": ["out/**"], - "dependsOn": ["@janhq/core#build", "@janhq/joi#build"] - }, - "jan#build": { - "outputs": ["dist/**"], - "dependsOn": [ - "@janhq/core#build", - "@janhq/server#build", - "@janhq/web#build" - ] - }, - "jan#build:test": { - "outputs": ["dist/**"], - "cache": false, - "dependsOn": [ - "@janhq/core#build", - "@janhq/server#build", - "@janhq/web#build" - ] - }, - "type-check": {} - } -} diff --git a/web/containers/CopyInstruction/index.test.tsx b/web/containers/CopyInstruction/index.test.tsx index 2f00e4e37..957decec7 100644 --- a/web/containers/CopyInstruction/index.test.tsx +++ b/web/containers/CopyInstruction/index.test.tsx @@ -6,6 +6,7 @@ import CopyOverInstruction from './index' // Mock the `useAtom` hook from jotai jest.mock('jotai', () => ({ useAtom: jest.fn(), + atom: jest.fn(), })) describe('CopyOverInstruction', () => { diff --git a/web/containers/CopyInstruction/index.tsx b/web/containers/CopyInstruction/index.tsx index 227e0b240..4ce00507d 100644 --- a/web/containers/CopyInstruction/index.tsx +++ b/web/containers/CopyInstruction/index.tsx @@ -2,14 +2,8 @@ import { ChangeEvent, useCallback } from 'react' import { Switch } from '@janhq/joi' import { useAtom } from 'jotai' -import { atomWithStorage } from 'jotai/utils' -const COPY_OVER_INSTRUCTION_ENABLED = 'copy_over_instruction_enabled' - -export const copyOverInstructionEnabledAtom = atomWithStorage( - COPY_OVER_INSTRUCTION_ENABLED, - false -) +import { copyOverInstructionEnabledAtom } from '@/helpers/atoms/App.atom' const CopyOverInstruction: React.FC = () => { const [copyOverInstructionEnabled, setCopyOverInstructionEnabled] = useAtom( diff --git a/web/containers/ErrorMessage/index.tsx b/web/containers/ErrorMessage/index.tsx index e0705e6b6..71fd56c5d 100644 --- a/web/containers/ErrorMessage/index.tsx +++ b/web/containers/ErrorMessage/index.tsx @@ -1,7 +1,7 @@ import { EngineManager, ErrorCode, - MessageStatus, + InferenceEngine, ThreadMessage, } from '@janhq/core' @@ -14,8 +14,6 @@ import ModalTroubleShooting, { import { MainViewState } from '@/constants/screens' -import { isLocalEngine } from '@/utils/modelEngine' - import { mainViewStateAtom } from '@/helpers/atoms/App.atom' import { activeAssistantAtom } from '@/helpers/atoms/Assistant.atom' @@ -82,7 +80,7 @@ const ErrorMessage = ({ message }: { message: ThreadMessage }) => { > {message.content[0]?.text?.value === 'Failed to fetch' && engine && - !isLocalEngine(String(engine?.name)) ? ( + engine?.name !== InferenceEngine.cortex_llamacpp ? ( No internet connection.
Switch to an on-device model or check connection. diff --git a/web/containers/Layout/BottomPanel/DownloadingState/index.tsx b/web/containers/Layout/BottomPanel/DownloadingState/index.tsx index dc9ffca89..1c3419aab 100644 --- a/web/containers/Layout/BottomPanel/DownloadingState/index.tsx +++ b/web/containers/Layout/BottomPanel/DownloadingState/index.tsx @@ -32,12 +32,12 @@ export default function DownloadingState() { {Object.values(downloadStates)?.length > 0 && (