From 1962f93dd3e287f67f7b545cb104281bcdd979f3 Mon Sep 17 00:00:00 2001 From: Louis Date: Thu, 25 Apr 2024 09:26:28 +0700 Subject: [PATCH 001/791] feat: cortex project structure (#533) Signed-off-by: James Co-authored-by: James --- .gitignore | 568 - Dockerfile | 15 + README.md | 306 +- assets/Nitro README banner.png | Bin 888552 -> 0 bytes assets/placeholder | 1 - .clang-format => cortex-cpp/.clang-format | 0 cortex-cpp/.gitignore | 568 + .gitmodules => cortex-cpp/.gitmodules | 0 CMakeLists.txt => cortex-cpp/CMakeLists.txt | 0 LICENSE => cortex-cpp/LICENSE | 0 cortex-cpp/README.md | 217 + audio.md => cortex-cpp/audio.md | 0 {common => cortex-cpp/common}/base.cc | 0 {common => cortex-cpp/common}/base.h | 0 .../context}/llama_server_context.h | 0 .../context}/whisper_server_context.cc | 0 .../context}/whisper_server_context.h | 0 .../controllers}/audio.cc | 0 .../controllers}/audio.h | 0 .../controllers}/health.cc | 0 .../controllers}/health.h | 0 .../controllers}/llamaCPP.cc | 0 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- nitrologo -

+# Cortex Monorepo + +This monorepo contains two projects: CortexJS and CortexCPP. + +## CortexJS: Stateful Business Backend + +* All of the stateful endpoints: + + /threads + + /messages + + /models + + /runs + + /vector_store + + /settings + + /?auth + + … +* Database & Filesystem +* API Gateway +* Authentication & Authorization +* Observability + +## CortexCPP: Stateless Embedding Backend + +* All of the high performance, stateless endpoints: + + /chat/completion + + /audio + + /fine_tuning + + /embeddings + + /load_model + + /unload_model +* Kernel - Hardware Recognition + +## Project Structure -

- Documentation - API Reference - - Changelog - Bug reports - Discord -

- -> ⚠️ **Nitro is currently in Development**: Expect breaking changes and bugs! - -## Features -- Fast Inference: Built on top of the cutting-edge inference library llama.cpp, modified to be production ready. -- Lightweight: Only 3MB, ideal for resource-sensitive environments. -- Easily Embeddable: Simple integration into existing applications, offering flexibility. -- Quick Setup: Approximately 10-second initialization for swift deployment. -- Enhanced Web Framework: Incorporates drogon cpp to boost web service efficiency. - -## About Nitro - -Nitro is a high-efficiency C++ inference engine for edge computing, powering [Jan](https://jan.ai/). It is lightweight and embeddable, ideal for product integration. - -The binary of nitro after zipped is only ~3mb in size with none to minimal dependencies (if you use a GPU need CUDA for example) make it desirable for any edge/server deployment 👍. +``` +. +├── cortex-js/ +│ ├── package.json +│ ├── README.md +│ ├── Dockerfile +│ ├── docker-compose.yml +│ ├── src/ +│ │ ├── controllers/ +│ │ ├── modules/ +│ │ ├── services/ +│ │ └── ... +│ └── ... +├── cortex-cpp/ +│ ├── app/ +│ │ ├── controllers/ +│ │ ├── models/ +│ │ ├── services/ +│ │ ├── ?engines/ +│ │ │ ├── llama.cpp +│ │ │ ├── tensorrt-llm +│ │ │ └── ... +│ │ └── ... +│ ├── CMakeLists.txt +│ ├── config.json +│ ├── Dockerfile +│ ├── docker-compose.yml +│ ├── README.md +│ └── ... +├── scripts/ +│ └── ... +├── README.md +├── package.json +├── Dockerfile +├── docker-compose.yml +└── docs/ + └── ... +``` -> Read more about Nitro at https://nitro.jan.ai/ +## Installation -### Repo Structure +### NPM Install +* Pre-install script: +```bash +npm pre-install script; platform specific (MacOS / Windows / Linux) ``` -. -├── controllers -├── docs -├── llama.cpp -> Upstream llama C++ -├── nitro_deps -> Dependencies of the Nitro project as a sub-project -└── utils +* Tag based: +```json +npm install @janhq/cortex +npm install @janhq/cortex#cuda +npm install @janhq/cortex#cuda-avx512 +npm install @janhq/cortex#cuda-avx ``` -## Quickstart +### CLI Install Script -**Step 1: Install Nitro** +```bash +cortex init (AVX2 + Cuda) -- For Linux and MacOS +Enable GPU Acceleration? +1. Nvidia (default) - detected +2. AMD +3. Mac Metal - ```bash - curl -sfL https://raw.githubusercontent.com/janhq/nitro/main/install.sh | sudo /bin/bash - - ``` +Enter your choice: -- For Windows +CPU Instructions +1. AVX2 (default) - Recommend based on what the user has +2. AVX (old CPU) +3. AVX512 - ```bash - powershell -Command "& { Invoke-WebRequest -Uri 'https://raw.githubusercontent.com/janhq/nitro/main/install.bat' -OutFile 'install.bat'; .\install.bat; Remove-Item -Path 'install.bat' }" - ``` +Enter your choice: -**Step 2: Downloading a Model** +Downloading cortex-cuda-avx.so........................25% -```bash -mkdir model && cd model -wget -O llama-2-7b-model.gguf https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGUF/resolve/main/llama-2-7b-chat.Q5_K_M.gguf?download=true -``` +Cortex is ready! -**Step 3: Run Nitro server** +It seems like you have installed models from other applications. Do you want to import them? +1. Import from /Users/HOME/jan/models +2. Import from /Users/HOME/lmstudio/models +3. Import everything -```bash title="Run Nitro server" -nitro +Importing from /Users/HOME/jan/models..................17% ``` -**Step 4: Load model** +## Backend (jan app) -```bash title="Load model" -curl http://localhost:3928/inferences/llamacpp/loadmodel \ - -H 'Content-Type: application/json' \ - -d '{ - "llama_model_path": "/model/llama-2-7b-model.gguf", - "ctx_len": 512, - "ngl": 100, - }' +```json +POST /settings +{ + "gpu_enabled": true, + "gpu_family": "Nvidia", + "cpu_instructions": "AVX2" +} ``` -**Step 5: Making an Inference** - -```bash title="Nitro Inference" -curl http://localhost:3928/v1/chat/completions \ - -H "Content-Type: application/json" \ - -d '{ - "messages": [ - { - "role": "user", - "content": "Who won the world series in 2020?" - }, - ] - }' -``` +## Client Library Configuration -Table of parameters - -| Parameter | Type | Description | -|------------------|---------|--------------------------------------------------------------| -| `llama_model_path` | String | The file path to the LLaMA model. | -| `ngl` | Integer | The number of GPU layers to use. | -| `ctx_len` | Integer | The context length for the model operations. | -| `embedding` | Boolean | Whether to use embedding in the model. | -| `n_parallel` | Integer | The number of parallel operations. | -| `cont_batching` | Boolean | Whether to use continuous batching. | -| `user_prompt` | String | The prompt to use for the user. | -| `ai_prompt` | String | The prompt to use for the AI assistant. | -| `system_prompt` | String | The prompt to use for system rules. | -| `pre_prompt` | String | The prompt to use for internal configuration. | -| `cpu_threads` | Integer | The number of threads to use for inferencing (CPU MODE ONLY) | -| `n_batch` | Integer | The batch size for prompt eval step | -| `caching_enabled` | Boolean | To enable prompt caching or not | -| `clean_cache_threshold` | Integer | Number of chats that will trigger clean cache action| -|`grp_attn_n`|Integer|Group attention factor in self-extend| -|`grp_attn_w`|Integer|Group attention width in self-extend| -|`mlock`|Boolean|Prevent system swapping of the model to disk in macOS| -|`grammar_file`| String |You can constrain the sampling using GBNF grammars by providing path to a grammar file| -|`model_type` | String | Model type we want to use: llm or embedding, default value is llm| - -***OPTIONAL***: You can run Nitro on a different port like 5000 instead of 3928 by running it manually in terminal -```zsh -./nitro 1 127.0.0.1 5000 ([thread_num] [host] [port] [uploads_folder_path]) -``` -- thread_num : the number of thread that nitro webserver needs to have -- host : host value normally 127.0.0.1 or 0.0.0.0 -- port : the port that nitro got deployed onto -- uploads_folder_path: custom path for file uploads in Drogon. - -Nitro server is compatible with the OpenAI format, so you can expect the same output as the OpenAI ChatGPT API. - -## Compile from source -To compile nitro please visit [Compile from source](docs/docs/new/build-source.md) - -## Download - - - - - - - - - - - - - - - - - - - - - -
Version TypeWindowsMacOSLinux
Stable (Recommended) - - - CPU - - - - - CUDA - - - - - Intel - - - - - M1/M2 - - - - - CPU - - - - - CUDA - -
Experimental (Nighlty Build) - - GitHub action artifactory - -
- -Download the latest version of Nitro at https://nitro.jan.ai/ or visit the **[GitHub Releases](https://github.com/janhq/nitro/releases)** to download any previous release. - -## Nightly Build - -Nightly build is a process where the software is built automatically every night. This helps in detecting and fixing bugs early in the development cycle. The process for this project is defined in [`.github/workflows/build.yml`](.github/workflows/build.yml) - -You can join our Discord server [here](https://discord.gg/FTk2MvZwJH) and go to channel [github-nitro](https://discordapp.com/channels/1107178041848909847/1151022176019939328) to monitor the build process. - -The nightly build is triggered at 2:00 AM UTC every day. - -The nightly build can be downloaded from the url notified in the Discord channel. Please access the url from the browser and download the build artifacts from there. - -## Manual Build - -Manual build is a process where the software is built manually by the developers. This is usually done when a new feature is implemented or a bug is fixed. The process for this project is defined in [`.github/workflows/build.yml`](.github/workflows/build.yml) - -It is similar to the nightly build process, except that it is triggered manually by the developers. - -### Contact - -- For support, please file a GitHub ticket. -- For questions, join our Discord [here](https://discord.gg/FTk2MvZwJH). -- For long-form inquiries, please email hello@jan.ai. - -## Star History - -[![Star History Chart](https://api.star-history.com/svg?repos=janhq/nitro&type=Date)](https://star-history.com/#janhq/nitro&Date) +TBD \ No newline at end of file diff --git a/assets/Nitro README banner.png b/assets/Nitro README banner.png deleted file mode 100644 index 5582c7688c65a3e45238ae1447c0674823c8dc71..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 888552 zcmXV%WmFXG^Y=koQa~COMFFLyb3p{;rbPuLmJW%f8&)NyrKLkaq`O(VLvn$om+od^ z>+$zL&x`BKTr=-K=R5UXS6hwpA170>9t z9Qm3rP%2TI*U3GzPkuug`?O4#@%{1RCCBlYm{ZhKcdR3$wrR^nRtHY{lC~*E=&9WV z8h3odYS?+RkqPKTj_v{@eX(a@LFcGR7to~+%muqqgjw8FzPZ+cysliqTq`^sGcYzs zIod(?yJG67;Pcnw6UW;la3+Em{)=)d^YU0)Zw5N9@hj4w?8TKnShqQKT zho}z6u?)Tq$*HWp!e>%(`-94;Y92}jo07!FmzhOXXC@ODlffHRxWQVO74!Slg8k#9 zZMOZSNuL%k{zlVY3-s5I3A5R1b3QKkg=^=yI7pojx{hDv5(dC|NDl``g99=_@{N~% zN6%-hts;VJjvf@UDERh?H-)8MJj!aC3+Q$pOnyEzRcZXUue6>ybDH_3V-EN}0cdVt zk$IH@OQ+1uR3q%aWrt(rjF%$pUAPwArn#ir+oTp7gO*@l$5=F-9vp2-G#Tf%x3!0y&# zN0h>S^No=+OsanB37&86aGyP!SCsO~ED5g@B!{~bX0faZD)zNheI>IV_P*|kYDV^l zD21K+R3RfVeII58sJU3jiOCt%%AFp|b+SWgb-HaV%iT>=Nq~-+{(4AB-38eptqw8( zM?HPVS-g;-VJ{Il6f!hYK6or^FYZ^gJUjRv>SfuK@tS5>x;}GKM5HmN#zW|$|2!ip zuI}rCFj?K?hp*nn8&qz?#C~V1#48o9yYx-(PPYLLBnj~+6^Ei9rtjTFOBDo!hC(F) zb&FbYlukU3SVy6 zF1{X%+I6d{>y}H%%A?-)Ld&g#9LhX&*OYTtb~*svDK5U{o4_~g{sW^E5)Lh7g#GH_ zREq)BlSt~|GIyil693hu?spM$7`uMp07Hz|0Jqd8#615wm0N?84?-i#Eqo1Bq3LmE zIa6`jFLb#^S3!L*^)%K|t2<18rHE{Cxmk;p5nHFV6K|8j*0q0g{WHl@`8aJZ-O0V0 za)@eDr4=SIF$+TD6ubf}6~_0^K0Ou{*`&ww52_V_H^;09H^U>RK$w95axRHi$!p3i;;!QsU)9TJYRdlRd{TfIvy-1IkiwoeM z#FbV0r_8s1Bs2TNM9YvvC!GhsUt9+id+v5fZYuLD3g@EMMTs_N18FTAjmy82Z7Ud@HK%gzog+{86Sm|A9g=!IKIN^?v|hqo>K z=2N{52Q!og>UvzFDuu^QrA4m}$NL?WusosjlqZEQD zX5*+ScHfcxb&_GT_6DvQ0;e03gggM9wiuqZK=|@94_Tco=;yZlaOdgTxejK0^?VX` zip;$~6FB&A?2MUa}_q(#~W+ulHk44_K4{{;xd!pXGK=1*TUvK7Gh~5PD^^Wo-^LQ|e8^twwtgc%Y1}^#axZU{q z``1E{P!x%`fvq|ZKj31*Q5h!lE;2Kgay6@Rn9_@8)USr%!g-e(e%v)TzVuZwH|1fz zbP8q5(I!E5HTJ1R0fNwCCn!M!B^ng@gqaMkollLQH!${}saHU+KLQF(hxr!$*Rju; z=dzb`usUsfW*H+<(fG+2(AEp20CJtKi)BuUbuL*l#b>sp?R}vW&E$%oW@z=Xj0#mn zEA47E!XHxmWFZVa^*g_gSvod9Djz_0q_il<#g0G9f*eG9$y$*|x_TIX-;&D%S*9Uu~X%w&Gk zrJhS;>Wcx*;(?faDgZ8h$X@~S{YE#5?WZ1Vj~gBV5`5*b({nB}DB}@_WkZPT6V1Wa zCQ%Me)N-x+WU%e$dY*3Dz14dO+%v`*>>uTN>W}eCImaV)R)jIgpF4@3D~PIFChuj( z%aKem@ay=ylC_T<%^;jc*FbtT0oA&h#=|L}6%R5~B- z8phb&L&%gG7Bn$NVzNhX8kq2+!4S^H(<5T_d3|bAo5DgnoBG%xnXp9d<$CO?bd>Ih z?nd=$_TOhZ&aYYRjK)}=SXs}`Fw1y(vyFXEtV572e4I7TQ2ePy?HH<23*4~~t7R~g-%Z5V@4 zSRKd}Nv>H8mgfeIj>x?sRA`^&6Mo!Y(j_YWhq7K_@VunUmn4!dR=Rx|?9WogA&I+nY}owyLZdpqMXh!A*42V;o6=Dz`K$Z{6}0kyjEsTWz+zSs(J+m){CG$QtT!o+4-7K?&@g4at3) zmQgt6!~d#5aFKxhk0i6hI|Y=qnis3r6-?&zsZ_;TcY%M91E-MQ&ilElxK~GRZ#_Rt zp21-w>F}o_Cah}elBoBc{mQTBlcVt+13ccF@&0J9|M|&F6`k!T;+Oyms-C^w&mepR z|Bvl$`Jy5eR5$1hq{P?x&22>Vn$(r=hCcos{qXk)El;!pUOnS~#)@rZg1z!nL5}

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a/cortex-cpp/.gitignore b/cortex-cpp/.gitignore new file mode 100644 index 000000000..be1237faa --- /dev/null +++ b/cortex-cpp/.gitignore @@ -0,0 +1,568 @@ + +# Created by https://www.toptal.com/developers/gitignore/api/intellij+all,visualstudio,visualstudiocode,cmake,c,c++ +# Edit at https://www.toptal.com/developers/gitignore?templates=intellij+all,visualstudio,visualstudiocode,cmake,c,c++ + +### C ### +# Prerequisites +*.d + +# Object files +*.o +*.ko +*.obj +*.elf + +# Linker output +*.ilk +*.map +*.exp + +# Precompiled Headers +*.gch +*.pch + +# Libraries +*.lib +*.a +*.la +*.lo + +# Shared objects (inc. Windows DLLs) +# *.dll +*.so +*.so.* +*.dylib + +# Executables +*.exe +*.out +*.app +*.i*86 +*.x86_64 +*.hex + +# Debug files +*.dSYM/ +*.su +*.idb +*.pdb + +# Kernel Module Compile Results +*.mod +*.cmd +.tmp_versions/ +modules.order +Module.symvers +Mkfile.old +dkms.conf + +### C++ ### +# Prerequisites + +# Compiled Object files +*.slo + +# Precompiled Headers + +# Linker files + +# Debugger Files + +# Compiled Dynamic libraries + +# Fortran module files +*.mod +*.smod + +# Compiled Static libraries +*.lai + +# Executables + +### CMake ### +CMakeLists.txt.user +CMakeCache.txt +CMakeFiles +CMakeScripts +Testing +Makefile +!nitro-node/Makefile +cmake_install.cmake +install_manifest.txt +compile_commands.json +CTestTestfile.cmake +_deps +CMakeUserPresets.json + +### CMake Patch ### +# External projects +*-prefix/ + +### Intellij+all ### +# Covers JetBrains IDEs: IntelliJ, RubyMine, PhpStorm, AppCode, PyCharm, CLion, Android Studio, WebStorm and Rider +# Reference: https://intellij-support.jetbrains.com/hc/en-us/articles/206544839 + +# User-specific stuff +.idea/**/workspace.xml +.idea/**/tasks.xml +.idea/**/usage.statistics.xml +.idea/**/dictionaries +.idea/**/shelf + +# Generated files +.idea/**/contentModel.xml + +# Sensitive or high-churn files +.idea/**/dataSources/ +.idea/**/dataSources.ids +.idea/**/dataSources.local.xml +.idea/**/sqlDataSources.xml +.idea/**/dynamic.xml +.idea/**/uiDesigner.xml +.idea/**/dbnavigator.xml + +# Gradle +.idea/**/gradle.xml +.idea/**/libraries + +# Gradle and Maven with auto-import +# When using Gradle or Maven with auto-import, you should exclude module files, +# since they will be recreated, and may cause churn. Uncomment if using +# auto-import. +# .idea/artifacts +# .idea/compiler.xml +# .idea/jarRepositories.xml +# .idea/modules.xml +# .idea/*.iml +# .idea/modules +# *.iml +# *.ipr + +# CMake +cmake-build-*/ + +# Mongo Explorer plugin +.idea/**/mongoSettings.xml + +# File-based project format +*.iws + +# IntelliJ +out/ + +# mpeltonen/sbt-idea plugin +.idea_modules/ + +# JIRA plugin +atlassian-ide-plugin.xml + +# Cursive Clojure plugin +.idea/replstate.xml + +# Crashlytics plugin (for Android Studio and IntelliJ) +com_crashlytics_export_strings.xml +crashlytics.properties +crashlytics-build.properties +fabric.properties + +# Editor-based Rest Client +.idea/httpRequests + +# Android studio 3.1+ serialized cache file +.idea/caches/build_file_checksums.ser + +### Intellij+all Patch ### +# Ignores the whole .idea folder and all .iml files +# See https://github.com/joeblau/gitignore.io/issues/186 and https://github.com/joeblau/gitignore.io/issues/360 + +.idea/ + +# Reason: https://github.com/joeblau/gitignore.io/issues/186#issuecomment-249601023 + +*.iml +modules.xml +.idea/misc.xml +*.ipr + +# Sonarlint plugin +.idea/sonarlint + +### VisualStudioCode ### +.vscode/* +!.vscode/tasks.json +!.vscode/launch.json +*.code-workspace + +### VisualStudioCode Patch ### +# Ignore all local history of files +.history +.ionide + +### VisualStudio ### +## Ignore Visual Studio temporary files, build results, and +## files generated by popular Visual Studio add-ons. +## +## Get latest from https://github.com/github/gitignore/blob/master/VisualStudio.gitignore + +# User-specific files +*.rsuser +*.suo +*.user +*.userosscache +*.sln.docstates + +# User-specific files (MonoDevelop/Xamarin Studio) +*.userprefs + +# Mono auto generated files +mono_crash.* + +# Build results +[Dd]ebug/ +[Dd]ebugPublic/ +[Rr]elease/ +[Rr]eleases/ +x64/ +x86/ +[Ww][Ii][Nn]32/ +[Aa][Rr][Mm]/ +[Aa][Rr][Mm]64/ +bld/ +[Bb]in/ +[Oo]bj/ +[Ll]og/ +[Ll]ogs/ + +# Visual Studio 2015/2017 cache/options directory +.vs/ +# Uncomment if you have tasks that create the project's static files in wwwroot +#wwwroot/ + +# Visual Studio 2017 auto generated files +Generated\ Files/ + +# MSTest test Results +[Tt]est[Rr]esult*/ +[Bb]uild[Ll]og.* + +# NUnit +*.VisualState.xml +TestResult.xml +nunit-*.xml + +# Build Results of an ATL Project +[Dd]ebugPS/ +[Rr]eleasePS/ +dlldata.c + +# Benchmark Results +BenchmarkDotNet.Artifacts/ + +# .NET Core +project.lock.json +project.fragment.lock.json +artifacts/ + +# ASP.NET Scaffolding +ScaffoldingReadMe.txt + +# StyleCop +StyleCopReport.xml + +# Files built by Visual Studio +*_i.c +*_p.c +*_h.h +*.meta +*.iobj +*.ipdb +*.pgc +*.pgd +*.rsp +*.sbr +*.tlb +*.tli +*.tlh +*.tmp +*.tmp_proj +*_wpftmp.csproj +*.log +*.vspscc +*.vssscc +.builds +*.pidb +*.svclog +*.scc + +# Chutzpah Test files +_Chutzpah* + +# Visual C++ cache files +ipch/ +*.aps +*.ncb +*.opendb +*.opensdf +*.sdf +*.cachefile +*.VC.db +*.VC.VC.opendb + +# Visual Studio profiler +*.psess +*.vsp +*.vspx +*.sap + +# Visual Studio Trace Files +*.e2e + +# TFS 2012 Local Workspace +$tf/ + +# Guidance Automation Toolkit +*.gpState + +# ReSharper is a .NET coding add-in +_ReSharper*/ +*.[Rr]e[Ss]harper +*.DotSettings.user + +# TeamCity is a build add-in +_TeamCity* + +# DotCover is a Code Coverage Tool +*.dotCover + +# AxoCover is a Code Coverage Tool +.axoCover/* +!.axoCover/settings.json + +# Coverlet is a free, cross platform Code Coverage Tool +coverage*[.json, .xml, .info] + +# Visual Studio code coverage results +*.coverage +*.coveragexml + +# NCrunch +_NCrunch_* +.*crunch*.local.xml +nCrunchTemp_* + +# MightyMoose +*.mm.* +AutoTest.Net/ + +# Web workbench (sass) +.sass-cache/ + +# Installshield output folder +[Ee]xpress/ + +# DocProject is a documentation generator add-in +DocProject/buildhelp/ +DocProject/Help/*.HxT +DocProject/Help/*.HxC +DocProject/Help/*.hhc +DocProject/Help/*.hhk +DocProject/Help/*.hhp +DocProject/Help/Html2 +DocProject/Help/html + +# Click-Once directory +publish/ + +# Publish Web Output +*.[Pp]ublish.xml +*.azurePubxml +# Note: Comment the next line if you want to checkin your web deploy settings, +# but database connection strings (with potential passwords) will be unencrypted +*.pubxml +*.publishproj + +# Microsoft Azure Web App publish settings. Comment the next line if you want to +# checkin your Azure Web App publish settings, but sensitive information contained +# in these scripts will be unencrypted +PublishScripts/ + +# NuGet Packages +*.nupkg +# NuGet Symbol Packages +*.snupkg +# The packages folder can be ignored because of Package Restore +**/[Pp]ackages/* +# except build/, which is used as an MSBuild target. +!**/[Pp]ackages/build/ +# Uncomment if necessary however generally it will be regenerated when needed +#!**/[Pp]ackages/repositories.config +# NuGet v3's project.json files produces more ignorable files +*.nuget.props +*.nuget.targets + +# Microsoft Azure Build Output +csx/ +*.build.csdef + +# Microsoft Azure Emulator +ecf/ +rcf/ + +# Windows Store app package directories and files +AppPackages/ +BundleArtifacts/ +Package.StoreAssociation.xml +_pkginfo.txt +*.appx +*.appxbundle +*.appxupload + +# Visual Studio cache files +# files ending in .cache can be ignored +*.[Cc]ache +# but keep track of directories ending in .cache +!?*.[Cc]ache/ + +# Others +ClientBin/ +~$* +*~ +*.dbmdl +*.dbproj.schemaview +*.jfm +*.pfx +*.publishsettings +orleans.codegen.cs + +# Including strong name files can present a security risk +# (https://github.com/github/gitignore/pull/2483#issue-259490424) +#*.snk + +# Since there are multiple workflows, uncomment next line to ignore bower_components +# (https://github.com/github/gitignore/pull/1529#issuecomment-104372622) +#bower_components/ + +# RIA/Silverlight projects +Generated_Code/ + +# Backup & report files from converting an old project file +# to a newer Visual Studio version. Backup files are not needed, +# because we have git ;-) +_UpgradeReport_Files/ +Backup*/ +UpgradeLog*.XML +UpgradeLog*.htm +ServiceFabricBackup/ +*.rptproj.bak + +# SQL Server files +*.mdf +*.ldf +*.ndf + +# Business Intelligence projects +*.rdl.data +*.bim.layout +*.bim_*.settings +*.rptproj.rsuser +*- [Bb]ackup.rdl +*- [Bb]ackup ([0-9]).rdl +*- [Bb]ackup ([0-9][0-9]).rdl + +# Microsoft Fakes +FakesAssemblies/ + +# GhostDoc plugin setting file +*.GhostDoc.xml + +# Node.js Tools for Visual Studio +.ntvs_analysis.dat +node_modules/ + +# Visual Studio 6 build log +*.plg + +# Visual Studio 6 workspace options file +*.opt + +# Visual Studio 6 auto-generated workspace file (contains which files were open etc.) +*.vbw + +# Visual Studio LightSwitch build output +**/*.HTMLClient/GeneratedArtifacts +**/*.DesktopClient/GeneratedArtifacts +**/*.DesktopClient/ModelManifest.xml +**/*.Server/GeneratedArtifacts +**/*.Server/ModelManifest.xml +_Pvt_Extensions + +# Paket dependency manager +.paket/paket.exe +paket-files/ + +# FAKE - F# Make +.fake/ + +# CodeRush personal settings +.cr/personal + +# Python Tools for Visual Studio (PTVS) +__pycache__/ +*.pyc + +# Cake - Uncomment if you are using it +# tools/** +# !tools/packages.config + +# Tabs Studio +*.tss + +# Telerik's JustMock configuration file +*.jmconfig + +# BizTalk build output +*.btp.cs +*.btm.cs +*.odx.cs +*.xsd.cs + +# OpenCover UI analysis results +OpenCover/ + +# Azure Stream Analytics local run output +ASALocalRun/ + +# MSBuild Binary and Structured Log +*.binlog + +# NVidia Nsight GPU debugger configuration file +*.nvuser + +# MFractors (Xamarin productivity tool) working folder +.mfractor/ + +# Local History for Visual Studio +.localhistory/ + +# BeatPulse healthcheck temp database +healthchecksdb + +# Backup folder for Package Reference Convert tool in Visual Studio 2017 +MigrationBackup/ + +# Ionide (cross platform F# VS Code tools) working folder +.ionide/ + +# Fody - auto-generated XML schema +FodyWeavers.xsd + +### VisualStudio Patch ### +# Additional files built by Visual Studio +*.tlog + +# End of https://www.toptal.com/developers/gitignore/api/intellij+all,visualstudio,visualstudiocode,cmake,c,c++ +build +build_deps +.DS_Store + +uploads/** \ No newline at end of file diff --git a/.gitmodules b/cortex-cpp/.gitmodules similarity index 100% rename from .gitmodules rename to cortex-cpp/.gitmodules diff --git a/CMakeLists.txt b/cortex-cpp/CMakeLists.txt similarity index 100% rename from CMakeLists.txt rename to cortex-cpp/CMakeLists.txt diff --git a/LICENSE b/cortex-cpp/LICENSE similarity index 100% rename from LICENSE rename to cortex-cpp/LICENSE diff --git a/cortex-cpp/README.md b/cortex-cpp/README.md new file mode 100644 index 000000000..f10301363 --- /dev/null +++ b/cortex-cpp/README.md @@ -0,0 +1,217 @@ +# Nitro - Embeddable AI +

+ nitrologo +

+ +

+ Documentation - API Reference + - Changelog - Bug reports - Discord +

+ +> ⚠️ **Nitro is currently in Development**: Expect breaking changes and bugs! + +## Features +- Fast Inference: Built on top of the cutting-edge inference library llama.cpp, modified to be production ready. +- Lightweight: Only 3MB, ideal for resource-sensitive environments. +- Easily Embeddable: Simple integration into existing applications, offering flexibility. +- Quick Setup: Approximately 10-second initialization for swift deployment. +- Enhanced Web Framework: Incorporates drogon cpp to boost web service efficiency. + +## About Nitro + +Nitro is a high-efficiency C++ inference engine for edge computing, powering [Jan](https://jan.ai/). It is lightweight and embeddable, ideal for product integration. + +The binary of nitro after zipped is only ~3mb in size with none to minimal dependencies (if you use a GPU need CUDA for example) make it desirable for any edge/server deployment 👍. + +> Read more about Nitro at https://nitro.jan.ai/ + +### Repo Structure + +``` +. +├── controllers +├── docs +├── llama.cpp -> Upstream llama C++ +├── nitro_deps -> Dependencies of the Nitro project as a sub-project +└── utils +``` + +## Quickstart + +**Step 1: Install Nitro** + +- For Linux and MacOS + + ```bash + curl -sfL https://raw.githubusercontent.com/janhq/nitro/main/install.sh | sudo /bin/bash - + ``` + +- For Windows + + ```bash + powershell -Command "& { Invoke-WebRequest -Uri 'https://raw.githubusercontent.com/janhq/nitro/main/install.bat' -OutFile 'install.bat'; .\install.bat; Remove-Item -Path 'install.bat' }" + ``` + +**Step 2: Downloading a Model** + +```bash +mkdir model && cd model +wget -O llama-2-7b-model.gguf https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGUF/resolve/main/llama-2-7b-chat.Q5_K_M.gguf?download=true +``` + +**Step 3: Run Nitro server** + +```bash title="Run Nitro server" +nitro +``` + +**Step 4: Load model** + +```bash title="Load model" +curl http://localhost:3928/inferences/llamacpp/loadmodel \ + -H 'Content-Type: application/json' \ + -d '{ + "llama_model_path": "/model/llama-2-7b-model.gguf", + "ctx_len": 512, + "ngl": 100, + }' +``` + +**Step 5: Making an Inference** + +```bash title="Nitro Inference" +curl http://localhost:3928/v1/chat/completions \ + -H "Content-Type: application/json" \ + -d '{ + "messages": [ + { + "role": "user", + "content": "Who won the world series in 2020?" + }, + ] + }' +``` + +Table of parameters + +| Parameter | Type | Description | +|------------------|---------|--------------------------------------------------------------| +| `llama_model_path` | String | The file path to the LLaMA model. | +| `ngl` | Integer | The number of GPU layers to use. | +| `ctx_len` | Integer | The context length for the model operations. | +| `embedding` | Boolean | Whether to use embedding in the model. | +| `n_parallel` | Integer | The number of parallel operations. | +| `cont_batching` | Boolean | Whether to use continuous batching. | +| `user_prompt` | String | The prompt to use for the user. | +| `ai_prompt` | String | The prompt to use for the AI assistant. | +| `system_prompt` | String | The prompt to use for system rules. | +| `pre_prompt` | String | The prompt to use for internal configuration. | +| `cpu_threads` | Integer | The number of threads to use for inferencing (CPU MODE ONLY) | +| `n_batch` | Integer | The batch size for prompt eval step | +| `caching_enabled` | Boolean | To enable prompt caching or not | +| `clean_cache_threshold` | Integer | Number of chats that will trigger clean cache action| +|`grp_attn_n`|Integer|Group attention factor in self-extend| +|`grp_attn_w`|Integer|Group attention width in self-extend| +|`mlock`|Boolean|Prevent system swapping of the model to disk in macOS| +|`grammar_file`| String |You can constrain the sampling using GBNF grammars by providing path to a grammar file| +|`model_type` | String | Model type we want to use: llm or embedding, default value is llm| + +***OPTIONAL***: You can run Nitro on a different port like 5000 instead of 3928 by running it manually in terminal +```zsh +./nitro 1 127.0.0.1 5000 ([thread_num] [host] [port] [uploads_folder_path]) +``` +- thread_num : the number of thread that nitro webserver needs to have +- host : host value normally 127.0.0.1 or 0.0.0.0 +- port : the port that nitro got deployed onto +- uploads_folder_path: custom path for file uploads in Drogon. + +Nitro server is compatible with the OpenAI format, so you can expect the same output as the OpenAI ChatGPT API. + +## Compile from source +To compile nitro please visit [Compile from source](docs/docs/new/build-source.md) + +## Download + + + + + + + + + + + + + + + + + + + + + +
Version TypeWindowsMacOSLinux
Stable (Recommended) + + + CPU + + + + + CUDA + + + + + Intel + + + + + M1/M2 + + + + + CPU + + + + + CUDA + +
Experimental (Nighlty Build) + + GitHub action artifactory + +
+ +Download the latest version of Nitro at https://nitro.jan.ai/ or visit the **[GitHub Releases](https://github.com/janhq/nitro/releases)** to download any previous release. + +## Nightly Build + +Nightly build is a process where the software is built automatically every night. This helps in detecting and fixing bugs early in the development cycle. The process for this project is defined in [`.github/workflows/build.yml`](.github/workflows/build.yml) + +You can join our Discord server [here](https://discord.gg/FTk2MvZwJH) and go to channel [github-nitro](https://discordapp.com/channels/1107178041848909847/1151022176019939328) to monitor the build process. + +The nightly build is triggered at 2:00 AM UTC every day. + +The nightly build can be downloaded from the url notified in the Discord channel. Please access the url from the browser and download the build artifacts from there. + +## Manual Build + +Manual build is a process where the software is built manually by the developers. This is usually done when a new feature is implemented or a bug is fixed. The process for this project is defined in [`.github/workflows/build.yml`](.github/workflows/build.yml) + +It is similar to the nightly build process, except that it is triggered manually by the developers. + +### Contact + +- For support, please file a GitHub ticket. +- For questions, join our Discord [here](https://discord.gg/FTk2MvZwJH). +- For long-form inquiries, please email hello@jan.ai. + +## Star History + +[![Star History Chart](https://api.star-history.com/svg?repos=janhq/nitro&type=Date)](https://star-history.com/#janhq/nitro&Date) diff --git a/audio.md b/cortex-cpp/audio.md similarity index 100% rename from audio.md rename to cortex-cpp/audio.md diff --git a/common/base.cc b/cortex-cpp/common/base.cc similarity index 100% rename from common/base.cc rename to cortex-cpp/common/base.cc diff --git a/common/base.h b/cortex-cpp/common/base.h similarity index 100% rename from common/base.h rename to cortex-cpp/common/base.h diff --git a/context/llama_server_context.h b/cortex-cpp/context/llama_server_context.h similarity index 100% rename from context/llama_server_context.h rename to cortex-cpp/context/llama_server_context.h diff --git a/context/whisper_server_context.cc b/cortex-cpp/context/whisper_server_context.cc similarity index 100% rename from context/whisper_server_context.cc rename to cortex-cpp/context/whisper_server_context.cc diff --git a/context/whisper_server_context.h b/cortex-cpp/context/whisper_server_context.h similarity index 100% rename from context/whisper_server_context.h rename to cortex-cpp/context/whisper_server_context.h diff --git a/controllers/audio.cc b/cortex-cpp/controllers/audio.cc similarity index 100% rename from controllers/audio.cc rename to cortex-cpp/controllers/audio.cc diff --git a/controllers/audio.h b/cortex-cpp/controllers/audio.h similarity index 100% rename from controllers/audio.h rename to cortex-cpp/controllers/audio.h diff --git a/controllers/health.cc b/cortex-cpp/controllers/health.cc similarity 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b/cortex-cpp/controllers/processManager.cc similarity index 100% rename from controllers/processManager.cc rename to cortex-cpp/controllers/processManager.cc diff --git a/controllers/processManager.h b/cortex-cpp/controllers/processManager.h similarity index 100% rename from controllers/processManager.h rename to cortex-cpp/controllers/processManager.h diff --git a/examples/example-docker/Dockerfile b/cortex-cpp/examples/example-docker/Dockerfile similarity index 100% rename from examples/example-docker/Dockerfile rename to cortex-cpp/examples/example-docker/Dockerfile diff --git a/examples/example-docker/alpine.Dockerfile b/cortex-cpp/examples/example-docker/alpine.Dockerfile similarity index 100% rename from examples/example-docker/alpine.Dockerfile rename to cortex-cpp/examples/example-docker/alpine.Dockerfile diff --git a/examples/example-docker/cuda.Dockerfile b/cortex-cpp/examples/example-docker/cuda.Dockerfile similarity index 100% rename from examples/example-docker/cuda.Dockerfile rename to cortex-cpp/examples/example-docker/cuda.Dockerfile diff --git a/examples/grammars/json.gbnf b/cortex-cpp/examples/grammars/json.gbnf similarity index 100% rename from examples/grammars/json.gbnf rename to cortex-cpp/examples/grammars/json.gbnf diff --git a/examples/interface/README.md b/cortex-cpp/examples/interface/README.md similarity index 100% rename from examples/interface/README.md rename to cortex-cpp/examples/interface/README.md diff --git a/examples/interface/app.py b/cortex-cpp/examples/interface/app.py similarity index 100% rename from examples/interface/app.py rename to cortex-cpp/examples/interface/app.py diff --git a/examples/interface/avatar.png b/cortex-cpp/examples/interface/avatar.png similarity index 100% rename from examples/interface/avatar.png rename to cortex-cpp/examples/interface/avatar.png diff --git a/install.bat b/cortex-cpp/install.bat similarity index 100% rename from install.bat rename to cortex-cpp/install.bat diff --git a/install.sh b/cortex-cpp/install.sh old mode 100755 new mode 100644 similarity index 100% rename from install.sh rename to cortex-cpp/install.sh diff --git a/install_deps.sh b/cortex-cpp/install_deps.sh old mode 100755 new mode 100644 similarity index 100% rename from install_deps.sh rename to cortex-cpp/install_deps.sh diff --git a/main.cc b/cortex-cpp/main.cc similarity index 100% rename from main.cc rename to cortex-cpp/main.cc diff --git a/models/chat_completion_request.h b/cortex-cpp/models/chat_completion_request.h similarity index 100% rename from models/chat_completion_request.h rename to cortex-cpp/models/chat_completion_request.h diff --git a/nitro_deps/.gitignore b/cortex-cpp/nitro_deps/.gitignore similarity index 100% rename from nitro_deps/.gitignore rename to cortex-cpp/nitro_deps/.gitignore diff --git a/nitro_deps/CMakeLists.txt b/cortex-cpp/nitro_deps/CMakeLists.txt similarity index 100% rename from nitro_deps/CMakeLists.txt rename to cortex-cpp/nitro_deps/CMakeLists.txt diff --git a/nitro_deps/README.md b/cortex-cpp/nitro_deps/README.md similarity index 100% rename from nitro_deps/README.md rename to cortex-cpp/nitro_deps/README.md diff --git a/test/CMakeLists.txt b/cortex-cpp/test/CMakeLists.txt similarity index 100% rename from test/CMakeLists.txt rename to cortex-cpp/test/CMakeLists.txt diff --git a/test/components/CMakeLists.txt b/cortex-cpp/test/components/CMakeLists.txt similarity index 100% rename from test/components/CMakeLists.txt rename to cortex-cpp/test/components/CMakeLists.txt diff --git a/test/components/main.cc b/cortex-cpp/test/components/main.cc similarity index 100% rename from test/components/main.cc rename to cortex-cpp/test/components/main.cc diff --git a/test/components/test_models.cc b/cortex-cpp/test/components/test_models.cc similarity index 100% rename from test/components/test_models.cc rename to cortex-cpp/test/components/test_models.cc diff --git a/test/components/test_nitro_utils.cc b/cortex-cpp/test/components/test_nitro_utils.cc similarity index 100% rename from test/components/test_nitro_utils.cc rename to cortex-cpp/test/components/test_nitro_utils.cc diff --git a/utils/dr_wav.h b/cortex-cpp/utils/dr_wav.h similarity index 100% rename from utils/dr_wav.h rename to cortex-cpp/utils/dr_wav.h diff --git a/utils/json.hpp b/cortex-cpp/utils/json.hpp similarity index 100% rename from utils/json.hpp rename to cortex-cpp/utils/json.hpp diff --git a/utils/logging_utils.h b/cortex-cpp/utils/logging_utils.h similarity index 100% rename from utils/logging_utils.h rename to cortex-cpp/utils/logging_utils.h diff --git a/utils/nitro_utils.h b/cortex-cpp/utils/nitro_utils.h similarity index 100% rename from utils/nitro_utils.h rename to cortex-cpp/utils/nitro_utils.h diff --git a/cortex-js/.eslintrc.js b/cortex-js/.eslintrc.js new file mode 100644 index 000000000..259de13c7 --- /dev/null +++ b/cortex-js/.eslintrc.js @@ -0,0 +1,25 @@ +module.exports = { + parser: '@typescript-eslint/parser', + parserOptions: { + project: 'tsconfig.json', + tsconfigRootDir: __dirname, + sourceType: 'module', + }, + plugins: ['@typescript-eslint/eslint-plugin'], + extends: [ + 'plugin:@typescript-eslint/recommended', + 'plugin:prettier/recommended', + ], + root: true, + env: { + node: true, + jest: true, + }, + ignorePatterns: ['.eslintrc.js'], + rules: { + '@typescript-eslint/interface-name-prefix': 'off', + '@typescript-eslint/explicit-function-return-type': 'off', + '@typescript-eslint/explicit-module-boundary-types': 'off', + '@typescript-eslint/no-explicit-any': 'off', + }, +}; diff --git a/cortex-js/.gitignore b/cortex-js/.gitignore new file mode 100644 index 000000000..4b56acfbe --- /dev/null +++ b/cortex-js/.gitignore @@ -0,0 +1,56 @@ +# compiled output +/dist +/node_modules +/build + +# Logs +logs +*.log +npm-debug.log* +pnpm-debug.log* +yarn-debug.log* +yarn-error.log* +lerna-debug.log* + +# OS +.DS_Store + +# Tests +/coverage +/.nyc_output + +# IDEs and editors +/.idea +.project +.classpath +.c9/ +*.launch +.settings/ +*.sublime-workspace + +# IDE - VSCode +.vscode/* +!.vscode/settings.json +!.vscode/tasks.json +!.vscode/launch.json +!.vscode/extensions.json + +# dotenv environment variable files +.env +.env.development.local +.env.test.local +.env.production.local +.env.local + +# temp directory +.temp +.tmp + +# Runtime data +pids +*.pid +*.seed +*.pid.lock + +# Diagnostic reports (https://nodejs.org/api/report.html) +report.[0-9]*.[0-9]*.[0-9]*.[0-9]*.json diff --git a/cortex-js/.prettierrc b/cortex-js/.prettierrc new file mode 100644 index 000000000..dcb72794f --- /dev/null +++ b/cortex-js/.prettierrc @@ -0,0 +1,4 @@ +{ + "singleQuote": true, + "trailingComma": "all" +} \ No newline at end of file diff --git a/cortex-js/README.md b/cortex-js/README.md new file mode 100644 index 000000000..83729419a --- /dev/null +++ b/cortex-js/README.md @@ -0,0 +1,73 @@ +

+ Nest Logo +

+ +[circleci-image]: https://img.shields.io/circleci/build/github/nestjs/nest/master?token=abc123def456 +[circleci-url]: https://circleci.com/gh/nestjs/nest + +

A progressive Node.js framework for building efficient and scalable server-side applications.

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+NPM Version +Package License +NPM Downloads +CircleCI +Coverage +Discord +Backers on Open Collective +Sponsors on Open Collective + + Support us + +

+ + +## Description + +[Nest](https://github.com/nestjs/nest) framework TypeScript starter repository. + +## Installation + +```bash +$ yarn install +``` + +## Running the app + +```bash +# development +$ yarn run start + +# watch mode +$ yarn run start:dev + +# production mode +$ yarn run start:prod +``` + +## Test + +```bash +# unit tests +$ yarn run test + +# e2e tests +$ yarn run test:e2e + +# test coverage +$ yarn run test:cov +``` + +## Support + +Nest is an MIT-licensed open source project. It can grow thanks to the sponsors and support by the amazing backers. If you'd like to join them, please [read more here](https://docs.nestjs.com/support). + +## Stay in touch + +- Author - [Kamil Myśliwiec](https://kamilmysliwiec.com) +- Website - [https://nestjs.com](https://nestjs.com/) +- Twitter - [@nestframework](https://twitter.com/nestframework) + +## License + +Nest is [MIT licensed](LICENSE). diff --git a/cortex-js/constant.ts b/cortex-js/constant.ts new file mode 100644 index 000000000..8034a189d --- /dev/null +++ b/cortex-js/constant.ts @@ -0,0 +1,3 @@ +export const databaseName = 'cortex'; + +export const databaseFile = `${databaseName}.db`; diff --git a/cortex-js/nest-cli.json b/cortex-js/nest-cli.json new file mode 100644 index 000000000..f5e93169b --- /dev/null +++ b/cortex-js/nest-cli.json @@ -0,0 +1,17 @@ +{ + "$schema": "https://json.schemastore.org/nest-cli", + "collection": "@nestjs/schematics", + "sourceRoot": "src", + "compilerOptions": { + "deleteOutDir": true, + "plugins": [ + { + "name": "@nestjs/swagger", + "options": { + "classValidatorShim": true, + "introspectComments": true + } + } + ] + } +} diff --git a/cortex-js/package.json b/cortex-js/package.json new file mode 100644 index 000000000..fd7d1b872 --- /dev/null +++ b/cortex-js/package.json @@ -0,0 +1,79 @@ +{ + "name": "cortex-js", + "version": "0.0.1", + "description": "", + "author": "", + "private": true, + "license": "UNLICENSED", + "scripts": { + "build": "nest build", + "format": "prettier --write \"src/**/*.ts\" \"test/**/*.ts\"", + "start": "nest start", + "start:dev": "nest start --watch", + "start:debug": "nest start --debug --watch", + "start:prod": "node dist/main", + "lint": "eslint \"{src,apps,libs,test}/**/*.ts\" --fix", + "test": "jest", + "test:watch": "jest --watch", + "test:cov": "jest --coverage", + "test:debug": "node --inspect-brk -r tsconfig-paths/register -r ts-node/register node_modules/.bin/jest --runInBand", + "test:e2e": "jest --config ./test/jest-e2e.json", + "typeorm": "typeorm-ts-node-esm" + }, + "dependencies": { + "@nestjs/common": "^10.0.0", + "@nestjs/core": "^10.0.0", + "@nestjs/devtools-integration": "^0.1.6", + "@nestjs/mapped-types": "*", + "@nestjs/platform-express": "^10.0.0", + "@nestjs/swagger": "^7.3.1", + "class-transformer": "^0.5.1", + "class-validator": "^0.14.1", + "reflect-metadata": "^0.2.0", + "rxjs": "^7.8.1", + "sqlite": "^5.1.1", + "sqlite3": "^5.1.7", + "typeorm": "^0.3.20" + }, + "devDependencies": { + "@nestjs/cli": "^10.0.0", + "@nestjs/schematics": "^10.0.0", + "@nestjs/testing": "^10.0.0", + "@nestjs/typeorm": "^10.0.2", + "@types/express": "^4.17.17", + "@types/jest": "^29.5.2", + "@types/node": "^20.3.1", + "@types/supertest": "^6.0.0", + "@typescript-eslint/eslint-plugin": "^6.0.0", + "@typescript-eslint/parser": "^6.0.0", + "eslint": "^8.42.0", + "eslint-config-prettier": "^9.0.0", + "eslint-plugin-prettier": "^5.0.0", + "jest": "^29.5.0", + "prettier": "^3.0.0", + "source-map-support": "^0.5.21", + "supertest": "^6.3.3", + "ts-jest": "^29.1.0", + "ts-loader": "^9.4.3", + "ts-node": "^10.9.2", + "tsconfig-paths": "^4.2.0", + "typescript": "^5.1.3" + }, + "jest": { + "moduleFileExtensions": [ + "js", + "json", + "ts" + ], + "rootDir": "src", + "testRegex": ".*\\.spec\\.ts$", + "transform": { + "^.+\\.(t|j)s$": "ts-jest" + }, + "collectCoverageFrom": [ + "**/*.(t|j)s" + ], + "coverageDirectory": "../coverage", + "testEnvironment": "node" + } +} diff --git a/cortex-js/src/app.controller.spec.ts b/cortex-js/src/app.controller.spec.ts new file mode 100644 index 000000000..555735973 --- /dev/null +++ b/cortex-js/src/app.controller.spec.ts @@ -0,0 +1,16 @@ +import { Test, TestingModule } from '@nestjs/testing'; +import { AppController } from './app.controller'; + +describe('AppController', () => { + let appController: AppController; + + beforeEach(async () => { + const app: TestingModule = await Test.createTestingModule({ + controllers: [AppController], + }).compile(); + + appController = app.get(AppController); + }); + + describe('root', () => {}); +}); diff --git a/cortex-js/src/app.controller.ts b/cortex-js/src/app.controller.ts new file mode 100644 index 000000000..24fa19368 --- /dev/null +++ b/cortex-js/src/app.controller.ts @@ -0,0 +1,4 @@ +import { Controller } from '@nestjs/common'; + +@Controller() +export class AppController {} diff --git a/cortex-js/src/app.module.ts b/cortex-js/src/app.module.ts new file mode 100644 index 000000000..fd9c9fdbf --- /dev/null +++ b/cortex-js/src/app.module.ts @@ -0,0 +1,25 @@ +import { Module } from '@nestjs/common'; +import { AppController } from './app.controller'; +import { ThreadsController } from './threads/threads.controller'; +import { ModelsController } from './models/models.controller'; +import { MessagesModule } from './messages/messages.module'; +import { ThreadsModule } from './threads/threads.module'; +import { ModelsModule } from './models/models.module'; +import { DevtoolsModule } from '@nestjs/devtools-integration'; +import { CoreModule } from './core/core.module'; +import { DatabaseModule } from './database/database.module'; + +@Module({ + imports: [ + DevtoolsModule.register({ + http: process.env.NODE_ENV !== 'production', + }), + DatabaseModule, + MessagesModule, + ThreadsModule, + ModelsModule, + CoreModule, + ], + controllers: [AppController, ThreadsController, ModelsController], +}) +export class AppModule {} diff --git a/cortex-js/src/core/core.module.ts b/cortex-js/src/core/core.module.ts new file mode 100644 index 000000000..56a4d7810 --- /dev/null +++ b/cortex-js/src/core/core.module.ts @@ -0,0 +1,4 @@ +import { Module } from '@nestjs/common'; + +@Module({}) +export class CoreModule {} diff --git a/cortex-js/src/core/interfaces/thread.interface.ts b/cortex-js/src/core/interfaces/thread.interface.ts new file mode 100644 index 000000000..73f578a05 --- /dev/null +++ b/cortex-js/src/core/interfaces/thread.interface.ts @@ -0,0 +1,22 @@ +export interface IThread { + /** Unique identifier for the thread, generated by default using the ULID method. **/ + id: string; + + /** Object name **/ + object: string; + + /** The title of this thread. **/ + title: string; + + /** Assistants in this thread. **/ + //assistants: ThreadAssistantInfo[]; + + /** The timestamp indicating when this thread was created, represented in ISO 8601 format. **/ + createdAt: number; + + /** The timestamp indicating when this thread was updated, represented in ISO 8601 format. **/ + updatedAt?: number; + + /** The additional metadata of this thread. **/ + metadata?: string; //Record; +} diff --git a/cortex-js/src/database/database.module.ts b/cortex-js/src/database/database.module.ts new file mode 100644 index 000000000..97e879dee --- /dev/null +++ b/cortex-js/src/database/database.module.ts @@ -0,0 +1,9 @@ +import { Module } from '@nestjs/common'; +import { threadProviders } from './providers/thread.providers'; +import { sqliteDatabaseProviders } from './sqlite-database.providers'; + +@Module({ + providers: [...sqliteDatabaseProviders, ...threadProviders], + exports: [...threadProviders], +}) +export class DatabaseModule {} diff --git a/cortex-js/src/database/mysql-database.providers.ts b/cortex-js/src/database/mysql-database.providers.ts new file mode 100644 index 000000000..006b726a3 --- /dev/null +++ b/cortex-js/src/database/mysql-database.providers.ts @@ -0,0 +1,22 @@ +import { databaseName } from 'constant'; +import { DataSource } from 'typeorm'; + +export const mysqlDatabaseProviders = [ + { + provide: 'DATA_SOURCE', + useFactory: async () => { + const dataSource = new DataSource({ + type: 'mysql', + host: 'localhost', + port: 3306, + username: 'root', + password: '', + database: databaseName, + entities: [__dirname + '/../**/*.entity{.ts,.js}'], + synchronize: process.env.NODE_ENV !== 'production', + }); + + return dataSource.initialize(); + }, + }, +]; diff --git a/cortex-js/src/database/providers/thread.providers.ts b/cortex-js/src/database/providers/thread.providers.ts new file mode 100644 index 000000000..1fecd2495 --- /dev/null +++ b/cortex-js/src/database/providers/thread.providers.ts @@ -0,0 +1,10 @@ +import { Thread } from 'src/threads/entities/thread.entity'; +import { DataSource } from 'typeorm'; + +export const threadProviders = [ + { + provide: 'THREAD_REPOSITORY', + useFactory: (dataSource: DataSource) => dataSource.getRepository(Thread), + inject: ['DATA_SOURCE'], + }, +]; diff --git a/cortex-js/src/database/sqlite-database.providers.ts b/cortex-js/src/database/sqlite-database.providers.ts new file mode 100644 index 000000000..84700ff49 --- /dev/null +++ b/cortex-js/src/database/sqlite-database.providers.ts @@ -0,0 +1,18 @@ +import { databaseFile } from 'constant'; +import { DataSource } from 'typeorm'; + +export const sqliteDatabaseProviders = [ + { + provide: 'DATA_SOURCE', + useFactory: async () => { + const dataSource = new DataSource({ + type: 'sqlite', + database: databaseFile, + synchronize: process.env.NODE_ENV !== 'production', + entities: [__dirname + '/../**/*.entity{.ts,.js}'], + }); + + return dataSource.initialize(); + }, + }, +]; diff --git a/cortex-js/src/main.ts b/cortex-js/src/main.ts new file mode 100644 index 000000000..be0846e83 --- /dev/null +++ b/cortex-js/src/main.ts @@ -0,0 +1,31 @@ +import { NestFactory } from '@nestjs/core'; +import { AppModule } from './app.module'; +import { DocumentBuilder, SwaggerModule } from '@nestjs/swagger'; +import { ValidationPipe } from '@nestjs/common'; + +async function bootstrap() { + const app = await NestFactory.create(AppModule, { + snapshot: true, + cors: true, + }); + + app.useGlobalPipes( + new ValidationPipe({ + enableDebugMessages: true, + whitelist: true, + }), + ); + + const config = new DocumentBuilder() + .setTitle('Cortex API') + .setDescription('The Cortex API description') + .setVersion('1.0') + .addTag('cortex') + .build(); + const document = SwaggerModule.createDocument(app, config); + + SwaggerModule.setup('api', app, document); + + await app.listen(3000); +} +bootstrap(); diff --git a/cortex-js/src/messages/dto/create-message.dto.ts b/cortex-js/src/messages/dto/create-message.dto.ts new file mode 100644 index 000000000..c359e0ca0 --- /dev/null +++ b/cortex-js/src/messages/dto/create-message.dto.ts @@ -0,0 +1,6 @@ +import { IsEmail } from 'class-validator'; + +export class CreateMessageDto { + @IsEmail() + email: string; +} diff --git a/cortex-js/src/messages/dto/update-message.dto.ts b/cortex-js/src/messages/dto/update-message.dto.ts new file mode 100644 index 000000000..a8b82f010 --- /dev/null +++ b/cortex-js/src/messages/dto/update-message.dto.ts @@ -0,0 +1,4 @@ +import { PartialType } from '@nestjs/mapped-types'; +import { CreateMessageDto } from './create-message.dto'; + +export class UpdateMessageDto extends PartialType(CreateMessageDto) {} diff --git a/cortex-js/src/messages/entities/message.entity.ts b/cortex-js/src/messages/entities/message.entity.ts new file mode 100644 index 000000000..4224779df --- /dev/null +++ b/cortex-js/src/messages/entities/message.entity.ts @@ -0,0 +1 @@ +export class Message {} diff --git a/cortex-js/src/messages/messages.controller.spec.ts b/cortex-js/src/messages/messages.controller.spec.ts new file mode 100644 index 000000000..3ce062763 --- /dev/null +++ b/cortex-js/src/messages/messages.controller.spec.ts @@ -0,0 +1,20 @@ +import { Test, TestingModule } from '@nestjs/testing'; +import { MessagesController } from './messages.controller'; +import { MessagesService } from './messages.service'; + +describe('MessagesController', () => { + let controller: MessagesController; + + beforeEach(async () => { + const module: TestingModule = await Test.createTestingModule({ + controllers: [MessagesController], + providers: [MessagesService], + }).compile(); + + controller = module.get(MessagesController); + }); + + it('should be defined', () => { + expect(controller).toBeDefined(); + }); +}); diff --git a/cortex-js/src/messages/messages.controller.ts b/cortex-js/src/messages/messages.controller.ts new file mode 100644 index 000000000..0f46d062c --- /dev/null +++ b/cortex-js/src/messages/messages.controller.ts @@ -0,0 +1,34 @@ +import { Controller, Get, Post, Body, Patch, Param, Delete } from '@nestjs/common'; +import { MessagesService } from './messages.service'; +import { CreateMessageDto } from './dto/create-message.dto'; +import { UpdateMessageDto } from './dto/update-message.dto'; + +@Controller('messages') +export class MessagesController { + constructor(private readonly messagesService: MessagesService) {} + + @Post() + create(@Body() createMessageDto: CreateMessageDto) { + return this.messagesService.create(createMessageDto); + } + + @Get() + findAll() { + return this.messagesService.findAll(); + } + + @Get(':id') + findOne(@Param('id') id: string) { + return this.messagesService.findOne(+id); + } + + @Patch(':id') + update(@Param('id') id: string, @Body() updateMessageDto: UpdateMessageDto) { + return this.messagesService.update(+id, updateMessageDto); + } + + @Delete(':id') + remove(@Param('id') id: string) { + return this.messagesService.remove(+id); + } +} diff --git a/cortex-js/src/messages/messages.module.ts b/cortex-js/src/messages/messages.module.ts new file mode 100644 index 000000000..b7afc6fab --- /dev/null +++ b/cortex-js/src/messages/messages.module.ts @@ -0,0 +1,10 @@ +import { Module } from '@nestjs/common'; +import { MessagesService } from './messages.service'; +import { MessagesController } from './messages.controller'; + +@Module({ + controllers: [MessagesController], + providers: [MessagesService], + exports: [MessagesService], +}) +export class MessagesModule {} diff --git a/cortex-js/src/messages/messages.service.spec.ts b/cortex-js/src/messages/messages.service.spec.ts new file mode 100644 index 000000000..d928c590f --- /dev/null +++ b/cortex-js/src/messages/messages.service.spec.ts @@ -0,0 +1,18 @@ +import { Test, TestingModule } from '@nestjs/testing'; +import { MessagesService } from './messages.service'; + +describe('MessagesService', () => { + let service: MessagesService; + + beforeEach(async () => { + const module: TestingModule = await Test.createTestingModule({ + providers: [MessagesService], + }).compile(); + + service = module.get(MessagesService); + }); + + it('should be defined', () => { + expect(service).toBeDefined(); + }); +}); diff --git a/cortex-js/src/messages/messages.service.ts b/cortex-js/src/messages/messages.service.ts new file mode 100644 index 000000000..9a24f3543 --- /dev/null +++ b/cortex-js/src/messages/messages.service.ts @@ -0,0 +1,26 @@ +import { Injectable } from '@nestjs/common'; +import { CreateMessageDto } from './dto/create-message.dto'; +import { UpdateMessageDto } from './dto/update-message.dto'; + +@Injectable() +export class MessagesService { + create(createMessageDto: CreateMessageDto) { + return 'This action adds a new message'; + } + + findAll() { + return `This action returns all messages`; + } + + findOne(id: number) { + return `This action returns a #${id} message`; + } + + update(id: number, updateMessageDto: UpdateMessageDto) { + return `This action updates a #${id} message`; + } + + remove(id: number) { + return `This action removes a #${id} message`; + } +} diff --git a/cortex-js/src/models/dto/create-model.dto.ts b/cortex-js/src/models/dto/create-model.dto.ts new file mode 100644 index 000000000..e161e2eec --- /dev/null +++ b/cortex-js/src/models/dto/create-model.dto.ts @@ -0,0 +1 @@ +export class CreateModelDto {} diff --git a/cortex-js/src/models/dto/update-model.dto.ts b/cortex-js/src/models/dto/update-model.dto.ts new file mode 100644 index 000000000..8db8180b2 --- /dev/null +++ b/cortex-js/src/models/dto/update-model.dto.ts @@ -0,0 +1,4 @@ +import { PartialType } from '@nestjs/mapped-types'; +import { CreateModelDto } from './create-model.dto'; + +export class UpdateModelDto extends PartialType(CreateModelDto) {} diff --git a/cortex-js/src/models/entities/model.entity.ts b/cortex-js/src/models/entities/model.entity.ts new file mode 100644 index 000000000..990777fbb --- /dev/null +++ b/cortex-js/src/models/entities/model.entity.ts @@ -0,0 +1 @@ +export class Model {} diff --git a/cortex-js/src/models/models.controller.spec.ts b/cortex-js/src/models/models.controller.spec.ts new file mode 100644 index 000000000..66c2bf0b4 --- /dev/null +++ b/cortex-js/src/models/models.controller.spec.ts @@ -0,0 +1,20 @@ +import { Test, TestingModule } from '@nestjs/testing'; +import { ModelsController } from './models.controller'; +import { ModelsService } from './models.service'; + +describe('ModelsController', () => { + let controller: ModelsController; + + beforeEach(async () => { + const module: TestingModule = await Test.createTestingModule({ + controllers: [ModelsController], + providers: [ModelsService], + }).compile(); + + controller = module.get(ModelsController); + }); + + it('should be defined', () => { + expect(controller).toBeDefined(); + }); +}); diff --git a/cortex-js/src/models/models.controller.ts b/cortex-js/src/models/models.controller.ts new file mode 100644 index 000000000..69ae4ecf1 --- /dev/null +++ b/cortex-js/src/models/models.controller.ts @@ -0,0 +1,34 @@ +import { Controller, Get, Post, Body, Patch, Param, Delete } from '@nestjs/common'; +import { ModelsService } from './models.service'; +import { CreateModelDto } from './dto/create-model.dto'; +import { UpdateModelDto } from './dto/update-model.dto'; + +@Controller('models') +export class ModelsController { + constructor(private readonly modelsService: ModelsService) {} + + @Post() + create(@Body() createModelDto: CreateModelDto) { + return this.modelsService.create(createModelDto); + } + + @Get() + findAll() { + return this.modelsService.findAll(); + } + + @Get(':id') + findOne(@Param('id') id: string) { + return this.modelsService.findOne(+id); + } + + @Patch(':id') + update(@Param('id') id: string, @Body() updateModelDto: UpdateModelDto) { + return this.modelsService.update(+id, updateModelDto); + } + + @Delete(':id') + remove(@Param('id') id: string) { + return this.modelsService.remove(+id); + } +} diff --git a/cortex-js/src/models/models.module.ts b/cortex-js/src/models/models.module.ts new file mode 100644 index 000000000..1f9e10cf5 --- /dev/null +++ b/cortex-js/src/models/models.module.ts @@ -0,0 +1,10 @@ +import { Module } from '@nestjs/common'; +import { ModelsService } from './models.service'; +import { ModelsController } from './models.controller'; + +@Module({ + controllers: [ModelsController], + providers: [ModelsService], + exports: [ModelsService], +}) +export class ModelsModule {} diff --git a/cortex-js/src/models/models.service.spec.ts b/cortex-js/src/models/models.service.spec.ts new file mode 100644 index 000000000..8ecb2f99b --- /dev/null +++ b/cortex-js/src/models/models.service.spec.ts @@ -0,0 +1,18 @@ +import { Test, TestingModule } from '@nestjs/testing'; +import { ModelsService } from './models.service'; + +describe('ModelsService', () => { + let service: ModelsService; + + beforeEach(async () => { + const module: TestingModule = await Test.createTestingModule({ + providers: [ModelsService], + }).compile(); + + service = module.get(ModelsService); + }); + + it('should be defined', () => { + expect(service).toBeDefined(); + }); +}); diff --git a/cortex-js/src/models/models.service.ts b/cortex-js/src/models/models.service.ts new file mode 100644 index 000000000..a481272d0 --- /dev/null +++ b/cortex-js/src/models/models.service.ts @@ -0,0 +1,26 @@ +import { Injectable } from '@nestjs/common'; +import { CreateModelDto } from './dto/create-model.dto'; +import { UpdateModelDto } from './dto/update-model.dto'; + +@Injectable() +export class ModelsService { + create(createModelDto: CreateModelDto) { + return 'This action adds a new model'; + } + + findAll() { + return `This action returns all models`; + } + + findOne(id: number) { + return `This action returns a #${id} model`; + } + + update(id: number, updateModelDto: UpdateModelDto) { + return `This action updates a #${id} model`; + } + + remove(id: number) { + return `This action removes a #${id} model`; + } +} diff --git a/cortex-js/src/threads/dto/create-thread.dto.ts b/cortex-js/src/threads/dto/create-thread.dto.ts new file mode 100644 index 000000000..c8ec123f7 --- /dev/null +++ b/cortex-js/src/threads/dto/create-thread.dto.ts @@ -0,0 +1,6 @@ +import { IsString } from 'class-validator'; + +export class CreateThreadDto { + @IsString() + title: string; +} diff --git a/cortex-js/src/threads/dto/update-thread.dto.ts b/cortex-js/src/threads/dto/update-thread.dto.ts new file mode 100644 index 000000000..c97704689 --- /dev/null +++ b/cortex-js/src/threads/dto/update-thread.dto.ts @@ -0,0 +1,4 @@ +import { PartialType } from '@nestjs/mapped-types'; +import { CreateThreadDto } from './create-thread.dto'; + +export class UpdateThreadDto extends PartialType(CreateThreadDto) {} diff --git a/cortex-js/src/threads/entities/thread.entity.ts b/cortex-js/src/threads/entities/thread.entity.ts new file mode 100644 index 000000000..942d6b74a --- /dev/null +++ b/cortex-js/src/threads/entities/thread.entity.ts @@ -0,0 +1,39 @@ +import { IThread } from 'src/core/interfaces/thread.interface'; +import { Entity, PrimaryColumn, Column } from 'typeorm'; + +// this should be a DTO +@Entity('threads') +export class Thread implements IThread { + /** + * Unique identifier for the thread, generated by default using the ULID method. + **/ + @PrimaryColumn() + id: string; + + @Column() + object: string; + + /** The title of this thread. **/ + @Column({ name: 'title' }) + title: string; + + /** Assistants in this thread. **/ + // TODO: NamH implement this + //assistants: ThreadAssistantInfo[]; + + /** The timestamp indicating when this thread was created, represented in ISO 8601 format. **/ + @Column() + createdAt: number; + + /** + * The timestamp indicating when this thread was updated, represented in ISO 8601 format. + **/ + @Column({ nullable: true }) + updatedAt?: number; + + /** + * The additional metadata of this thread. + **/ + @Column({ nullable: true }) + metadata?: string; +} diff --git a/cortex-js/src/threads/threads.controller.spec.ts b/cortex-js/src/threads/threads.controller.spec.ts new file mode 100644 index 000000000..72b597ef9 --- /dev/null +++ b/cortex-js/src/threads/threads.controller.spec.ts @@ -0,0 +1,20 @@ +import { Test, TestingModule } from '@nestjs/testing'; +import { ThreadsController } from './threads.controller'; +import { ThreadsService } from './threads.service'; + +describe('ThreadsController', () => { + let controller: ThreadsController; + + beforeEach(async () => { + const module: TestingModule = await Test.createTestingModule({ + controllers: [ThreadsController], + providers: [ThreadsService], + }).compile(); + + controller = module.get(ThreadsController); + }); + + it('should be defined', () => { + expect(controller).toBeDefined(); + }); +}); diff --git a/cortex-js/src/threads/threads.controller.ts b/cortex-js/src/threads/threads.controller.ts new file mode 100644 index 000000000..5109ce3c1 --- /dev/null +++ b/cortex-js/src/threads/threads.controller.ts @@ -0,0 +1,42 @@ +import { + Controller, + Get, + Post, + Body, + Patch, + Param, + Delete, +} from '@nestjs/common'; +import { ThreadsService } from './threads.service'; +import { CreateThreadDto } from './dto/create-thread.dto'; +import { UpdateThreadDto } from './dto/update-thread.dto'; + +@Controller('threads') +export class ThreadsController { + constructor(private readonly threadsService: ThreadsService) {} + + @Post() + create(@Body() createThreadDto: CreateThreadDto) { + return this.threadsService.create(createThreadDto); + } + + @Get() + findAll() { + return this.threadsService.findAll(); + } + + @Get(':id') + findOne(@Param('id') id: string) { + return this.threadsService.findOne(+id); + } + + @Patch(':id') + update(@Param('id') id: string, @Body() updateThreadDto: UpdateThreadDto) { + return this.threadsService.update(+id, updateThreadDto); + } + + @Delete(':id') + remove(@Param('id') id: string) { + return this.threadsService.remove(+id); + } +} diff --git a/cortex-js/src/threads/threads.module.ts b/cortex-js/src/threads/threads.module.ts new file mode 100644 index 000000000..efbb6ca59 --- /dev/null +++ b/cortex-js/src/threads/threads.module.ts @@ -0,0 +1,12 @@ +import { Module } from '@nestjs/common'; +import { ThreadsService } from './threads.service'; +import { ThreadsController } from './threads.controller'; +import { DatabaseModule } from 'src/database/database.module'; + +@Module({ + imports: [DatabaseModule], + controllers: [ThreadsController], + providers: [ThreadsService], + exports: [ThreadsService], +}) +export class ThreadsModule {} diff --git a/cortex-js/src/threads/threads.service.spec.ts b/cortex-js/src/threads/threads.service.spec.ts new file mode 100644 index 000000000..110a26308 --- /dev/null +++ b/cortex-js/src/threads/threads.service.spec.ts @@ -0,0 +1,18 @@ +import { Test, TestingModule } from '@nestjs/testing'; +import { ThreadsService } from './threads.service'; + +describe('ThreadsService', () => { + let service: ThreadsService; + + beforeEach(async () => { + const module: TestingModule = await Test.createTestingModule({ + providers: [ThreadsService], + }).compile(); + + service = module.get(ThreadsService); + }); + + it('should be defined', () => { + expect(service).toBeDefined(); + }); +}); diff --git a/cortex-js/src/threads/threads.service.ts b/cortex-js/src/threads/threads.service.ts new file mode 100644 index 000000000..0b2d93582 --- /dev/null +++ b/cortex-js/src/threads/threads.service.ts @@ -0,0 +1,42 @@ +import { Inject, Injectable } from '@nestjs/common'; +import { CreateThreadDto } from './dto/create-thread.dto'; +import { UpdateThreadDto } from './dto/update-thread.dto'; +import { Thread } from './entities/thread.entity'; +import { Repository } from 'typeorm'; + +@Injectable() +export class ThreadsService { + constructor( + @Inject('THREAD_REPOSITORY') private threadRepository: Repository, + ) {} + + async create(createThreadDto: CreateThreadDto): Promise { + const { title } = createThreadDto; + const id = `jan_${(Date.now() / 1000).toFixed(0)}`; + + const thread: Thread = { + id, + object: 'thread', + title, + createdAt: Date.now(), + }; + await this.threadRepository.insert(thread); + return thread; + } + + async findAll(): Promise { + return this.threadRepository.find(); + } + + findOne(id: number) { + return `This action returns a #${id} thread`; + } + + update(id: number, updateThreadDto: UpdateThreadDto) { + return `This action updates a #${id} thread`; + } + + remove(id: number) { + return `This action removes a #${id} thread`; + } +} diff --git a/cortex-js/test/app.e2e-spec.ts b/cortex-js/test/app.e2e-spec.ts new file mode 100644 index 000000000..50cda6233 --- /dev/null +++ b/cortex-js/test/app.e2e-spec.ts @@ -0,0 +1,24 @@ +import { Test, TestingModule } from '@nestjs/testing'; +import { INestApplication } from '@nestjs/common'; +import * as request from 'supertest'; +import { AppModule } from './../src/app.module'; + +describe('AppController (e2e)', () => { + let app: INestApplication; + + beforeEach(async () => { + const moduleFixture: TestingModule = await Test.createTestingModule({ + imports: [AppModule], + }).compile(); + + app = moduleFixture.createNestApplication(); + await app.init(); + }); + + it('/ (GET)', () => { + return request(app.getHttpServer()) + .get('/') + .expect(200) + .expect('Hello World!'); + }); +}); diff --git a/cortex-js/test/jest-e2e.json b/cortex-js/test/jest-e2e.json new file mode 100644 index 000000000..e9d912f3e --- /dev/null +++ b/cortex-js/test/jest-e2e.json @@ -0,0 +1,9 @@ +{ + "moduleFileExtensions": ["js", "json", "ts"], + "rootDir": ".", + "testEnvironment": "node", + "testRegex": ".e2e-spec.ts$", + "transform": { + "^.+\\.(t|j)s$": "ts-jest" + } +} diff --git a/cortex-js/tsconfig.build.json b/cortex-js/tsconfig.build.json new file mode 100644 index 000000000..64f86c6bd --- /dev/null +++ b/cortex-js/tsconfig.build.json @@ -0,0 +1,4 @@ +{ + "extends": "./tsconfig.json", + "exclude": ["node_modules", "test", "dist", "**/*spec.ts"] +} diff --git a/cortex-js/tsconfig.json b/cortex-js/tsconfig.json new file mode 100644 index 000000000..a1c778d1e --- /dev/null +++ b/cortex-js/tsconfig.json @@ -0,0 +1,21 @@ +{ + "compilerOptions": { + "module": "commonjs", + "declaration": true, + "removeComments": true, + "emitDecoratorMetadata": true, + "experimentalDecorators": true, + "allowSyntheticDefaultImports": true, + "target": "ES2021", + "sourceMap": true, + "outDir": "./dist", + "baseUrl": "./", + "incremental": true, + "skipLibCheck": true, + "strictNullChecks": true, + "noImplicitAny": true, + "strictBindCallApply": true, + "forceConsistentCasingInFileNames": true, + "noFallthroughCasesInSwitch": true + } +} diff --git a/cortex-js/yarn.lock b/cortex-js/yarn.lock new file mode 100644 index 000000000..b6dcb5ca4 --- /dev/null +++ b/cortex-js/yarn.lock @@ -0,0 +1,5825 @@ +# THIS IS AN AUTOGENERATED FILE. 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new file mode 100644 index 000000000..eb5c75a00 --- /dev/null +++ b/docker-compose.yml @@ -0,0 +1,35 @@ +version: '3' +services: + cortex-js: + build: ./cortex-js + ports: + - "3000:3000" + depends_on: + - db + environment: + - DATABASE_URL=postgres://user:password@db:5432/database + volumes: + - ./cortex-js:/app + + cortex-cpp: + build: ./cortex-cpp + ports: + - "3001:3001" + depends_on: + - cortex-js + environment: + - GPU_ENABLED=true + - GPU_FAMILY=Nvidia + - CPU_INSTRUCTIONS=AVX2 + + db: + image: postgres + environment: + - POSTGRES_USER=user + - POSTGRES_PASSWORD=password + - POSTGRES_DB=database + volumes: + - db-data:/var/lib/postgresql/data + +volumes: + db-data: \ No newline at end of file diff --git a/docs/.env.example b/docs/.env.example deleted file mode 100644 index 6caffa2ee..000000000 --- a/docs/.env.example +++ /dev/null @@ -1,3 +0,0 @@ -GTM_ID=xxxx -POSTHOG_PROJECT_API_KEY=xxxx -POSTHOG_APP_URL=xxxx \ No newline at end of file diff --git a/docs/.gitignore b/docs/.gitignore deleted file mode 100644 index 93162cbbc..000000000 --- a/docs/.gitignore +++ /dev/null @@ -1,22 +0,0 @@ -# Dependencies -/node_modules - -# Production -/build - -# Generated files -.docusaurus -.cache-loader - -# Misc -.DS_Store -.env.local -.env.development.local -.env.test.local -.env.production.local - -npm-debug.log* -yarn-debug.log* -yarn-error.log* -yarn.lock -.env diff --git a/docs/README.md b/docs/README.md deleted file mode 100644 index 4f0946a1b..000000000 --- a/docs/README.md +++ /dev/null @@ -1,51 +0,0 @@ -# Website - -This website is built using [Docusaurus 2](https://docusaurus.io/), a modern static website generator. - -### Installation - -``` -$ yarn -``` - -### Local Development - -``` -$ yarn start -``` - -This command starts a local development server and opens up a browser window. Most changes are reflected live without having to restart the server. - -### Build - -``` -$ yarn build -``` - -This command generates static content into the `build` directory and can be served using any static contents hosting service. - -### Deployment - -Using SSH: - -``` -$ USE_SSH=true yarn deploy -``` - -Not using SSH: - -``` -$ GIT_USER= yarn deploy -``` - -If you are using GitHub pages for hosting, this command is a convenient way to build the website and push to the `gh-pages` branch. - -### Preview URL, Pre-release and Publishing Documentation - -When a PR is created, the preview URL will be automatically commented on the PR. For staging or pre-release documentation, use the following domains [https://pre-release-nitro.jan.ai/](https://pre-release-nitro.jan.ai/) - -To officially publish documentation, create a tag in the format `vx.y.z-docs` (e.g., `v0.1.1-docs`) on the `main` branch. The documentation will then be published to [https://nitro.jan.ai/](https://nitro.jan.ai/) - -### Additional Plugins -- @docusaurus/theme-live-codeblock -- [Redocusaurus](https://redocusaurus.vercel.app/): manually upload swagger files at `/openapi/OpenAPISpec.json` \ No newline at end of file diff --git a/docs/babel.config.js b/docs/babel.config.js deleted file mode 100644 index bfd75dbdf..000000000 --- a/docs/babel.config.js +++ /dev/null @@ -1,3 +0,0 @@ -module.exports = { - presets: [require.resolve("@docusaurus/core/lib/babel/preset")], -}; diff --git a/docs/blog/authors.yml b/docs/blog/authors.yml deleted file mode 100644 index f30d4610d..000000000 --- a/docs/blog/authors.yml +++ /dev/null @@ -1,6 +0,0 @@ -dan-jan: - name: Daniel Onggunhao - title: Co-Founder - url: https://github.com/dan-jan - image_url: https://avatars.githubusercontent.com/u/101145494?v=4 - email: daniel@jan.ai \ No newline at end of file diff --git a/docs/blog/hello-world.md b/docs/blog/hello-world.md deleted file mode 100644 index ad080e320..000000000 --- a/docs/blog/hello-world.md +++ /dev/null @@ -1,12 +0,0 @@ ---- -title: Hello World -description: This is my first post on Docusaurus. -slug: hello-world -authors: - - name: Daniel -tags: [hello, jan] -image: https://i.imgur.com/mErPwqL.png -hide_table_of_contents: false ---- - -Hello World! \ No newline at end of file diff --git a/docs/blog/test.md b/docs/blog/test.md deleted file mode 100644 index e69de29bb..000000000 diff --git a/docs/docs/api-reference.md b/docs/docs/api-reference.md deleted file mode 100644 index e69de29bb..000000000 diff --git a/docs/docs/examples/autogen.md b/docs/docs/examples/autogen.md deleted file mode 100644 index 5d08f7af6..000000000 --- a/docs/docs/examples/autogen.md +++ /dev/null @@ -1,99 +0,0 @@ ---- -title: Nitro with Autogen -description: Nitro intergration guide for using Autogen. -keywords: [Nitro, autogen, autogen studio, autogen 2.0, litellm, ollama, Jan, fast inference, inference server, local AI, large language model, OpenAI compatible, open source, llama] ---- - -This guide demonstrates how to use Nitro with Autogen to develope a multi-agent framework. - -## What is AutoGen? - -AutoGen makes developing multi-agent conversations a breeze. It's perfect for complex Language Model (LLM) projects, offering flexible, interactive agents. These agents can work with LLMs, human input, and other tools in various combinations. - -AutoGen Studio upgrades AutoGen with a user-friendly drag-and-drop interface. It simplifies creating and tweaking agents and workflows. You can start chat sessions, track chat history and files, and monitor time spent. It also lets users add extra skills to agents and share their projects easily, catering to all user levels. - -## Setting Up - -### Install AutoGen Studio - -Just run: - -```bash -pip install autogenstudio -``` - -### Launch AutoGen Studio -Use this command: - -```bash -autogenstudio ui --port 8000 -``` - -For more on AutoGen, visit their [page](https://microsoft.github.io/autogen/blog/2023/12/01/AutoGenStudio/). - -![Autogen Studio page](img/autogen_page.png) - -## Using a Local Model with Nitro - -**1. Start Nitro Server** - -Open your terminal and run: -```bash -nitro -``` -**2. Download Model** - -To get the [Stealth 7B](https://huggingface.co/janhq/stealth-v1.3-GGUF) model, enter: - -```bash title="Get a model" -mkdir model && cd model -wget -O stealth-7b-model.gguf https://huggingface.co/janhq/stealth-v1.3-GGUF/resolve/main/stealth-v1.3.Q4_K_M.gguf -``` - -> Explore more models at [The Bloke](https://huggingface.co/TheBloke). - -**3. Load the Model** - -Run this to load the model: - -```bash title="Load model to the server" -curl http://localhost:3928/inferences/llamacpp/loadmodel \ - -H 'Content-Type: application/json' \ - -d '{ - "llama_model_path": "model/stealth-7b-model.gguf", - "ctx_len": 512, - "ngl": 100, - }' -``` - -## Setting Up a Local Agent - -In AutoGen Studio, go to the `Agent`` tab and set up a new agent. - -**Key setting:** In `Model` section, use `Base URL`: http://localhost:3928/v1. - -![Local LLM with AutoGen](img/autogen_localllm.png) - -## Crafting a Workflow - -Create a new workflow in `Workflows` tab - -Navigate to the `Workflows` tab to create a new workflow. Change the `Sender` model to your Stealth model. - -![Create local LLM work flow with AutoGen](img/autogen_workflow.png) - -Make sure the `Receiver` uses the agent you just set up. - -![Configure Receiver in AutoGen](img/autogen_receiver.png) - -## Set a dummy OpenAI API Key - -Set a dummy enviroment variable for OpenAI - -```bash -export OPENAI_API_KEY=sk-*** -``` - -You're all set! Test your agent in the `Playground`. - -![Example local LLM with Autogen](img/autogen_stealth.png) \ No newline at end of file diff --git a/docs/docs/examples/chatboxgpt.md b/docs/docs/examples/chatboxgpt.md deleted file mode 100644 index 5ec0c5fd3..000000000 --- a/docs/docs/examples/chatboxgpt.md +++ /dev/null @@ -1,78 +0,0 @@ ---- -title: Nitro with ChatGPTBox -description: Nitro intergration guide for using on Web browser. -keywords: [Nitro, Google Chrome, browser, Jan, fast inference, inference server, local AI, large language model, OpenAI compatible, open source, llama] ---- - -This guide demonstrates how to use Nitro on Web browser like an copilot on Web browser. - -## Installation -We'll use [chatGPTBox](https://github.com/josStorer/chatGPTBox) for this setup. - -- For Chrome/Edge, download directly from the [Google Web Store](https://chromewebstore.google.com/detail/chatgptbox/eobbhoofkanlmddnplfhnmkfbnlhpbbo). -- For other browsers, refer to their [installation guide](https://github.com/josStorer/chatGPTBox/wiki/Install). - -## Using chatGPTBox with Nitro - -**1. Start Nitro server** - -Open your terminal and run: - -```bash title="Run Nitro" -nitro -``` - -**2. Download Model** - -Download the [Stealth 7B](https://huggingface.co/jan-hq/stealth-v1.3) model with these commands: - -```bash title="Get a model" -mkdir model && cd model -wget -O stealth-7b.gguf https://huggingface.co/janhq/stealth-v1.3-GGUF/resolve/main/stealth-v1.3.Q4_K_M.gguf -``` - -> Explore more GGUF models at [The Bloke](https://huggingface.co/TheBloke). - -**3. Run the Model** - -To load the model, use the following command: - -```bash title="Load model to the server" -curl http://localhost:3928/inferences/llamacpp/loadmodel \ - -H 'Content-Type: application/json' \ - -d '{ - "llama_model_path": "model/stealth-7b.gguf", - "ctx_len": 512, - "ngl": 100, - }' -``` - -**4. Configure chatGPTBox** - -Click the `chatGPTBox` icon in your browser to open the main menu. - -![Main menu chatGPTBox](img/chatgptbox_menu.png) - -In the `API Mode` section, switch to `Custom Model`. - -Change the name to `Stealth 7B` and set the host to `http://localhost:3928/v1/chat/completions` - -![Use chatGPTBox](img/chatgptbox_cus.png) - -Your browser is now equipped with a copilot to help you on daily basis. - -![Web browser with chatGPTBox](img/chatgptbox_use.png) - -For detailed guidance, visit the [chatGPTBox guide](https://github.com/josStorer/chatGPTBox/wiki/Guide) - -### Shortcut - -| Shortcut | Description | -|----------|---------------------------------------------| -| Ctrl+B | Activate chat dialog box on any page. | -| Alt+B | Summarize any page via the right-click menu. | -| Ctrl+Shift+H | Open an independent conversation page. | - -## Futher Usage - -For convenient usage, you can utilize [Jan](https://jan.ai/), as it is integrated with Nitro. \ No newline at end of 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z=^L^?Ue2G*xfl4YN#v|>HCTS&+7hbvSaE;$?-%R@f=s?~eW6w1<;myCYx4tuVwZ}Wq2_o^zwVbQ!9|OEcZ~fI%sk}~FuxG=fV#Fd+@jW5%xzh6s^Oyu0~GY{rtV9)yc znr+ss!qb7j{hb!2D^G8NY8isIrjLwC<;_B>y>V*O9OD8xZ51m7Ge^|vl=jBX4n^k} z&a$E@XDL>Dgs*yA#}O*1)Cb}%VMb)n?C#9Y@z70e?;MchgteVX<9AoObHo$y-Aqf@ zV?#@z%ydII2v5aEe;6?demfL#Fir~&Y^grwC6 z@6AactQqS7yWLp|5v?-v^k0k>$wskyvjBA?cE?i#3VRkewf?tx+kd@!#3k}O;r~XZ in`Qqe_Ily|!8tXis&cm} - -## What is Jan? - -Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. - -Jan uses open-source AI models, stores data in open file formats, is highly customizable via extensions. - -For additional details, please consult the [Jan Documenation](https://jan.ai/docs). - -> [Download Jan](https://jan.ai/) \ No newline at end of file diff --git a/docs/docs/examples/openai-node.md b/docs/docs/examples/openai-node.md deleted file mode 100644 index dfa515bdf..000000000 --- a/docs/docs/examples/openai-node.md +++ /dev/null @@ -1,279 +0,0 @@ ---- -title: Nitro with openai-node -description: Nitro intergration guide for Node.js. -keywords: [Nitro, Jan, fast inference, inference server, local AI, large language model, OpenAI compatible, open source, llama] ---- - -You can migrate from OAI API or Azure OpenAI to Nitro using your existing NodeJS code quickly -> The **ONLY** thing you need to do is to override `baseURL` in `openai` init with `Nitro` URL -- NodeJS OpenAI SDK: https://www.npmjs.com/package/openai - -## Chat Completion - - - - - - - - - - - - - - - - -
Engine Typescript Code
Nitro - -```typescript -import OpenAI from 'openai'; - -const openai = new OpenAI({ - apiKey: '', // defaults to process.env["OPENAI_API_KEY"] - baseURL: "http://localhost:3928/v1/" // https://api.openai.com/v1 -}); - -async function chatCompletion() { - const stream = await openai.beta.chat.completions.stream({ - model: 'gpt-3.5-turbo', - messages: [{ role: 'user', content: 'Say this is a test' }], - stream: true, - }); - - stream.on('content', (delta, snapshot) => { - process.stdout.write(delta); - }); - - for await (const chunk of stream) { - process.stdout.write(chunk.choices[0]?.delta?.content || ''); - } - - const chatCompletion = await stream.finalChatCompletion(); - console.log(chatCompletion); // {id: "…", choices: […], …} -} -chatCompletion() -``` -
OAI - -```typescript -import OpenAI from 'openai'; - -const openai = new OpenAI({ - apiKey: '', // defaults to process.env["OPENAI_API_KEY"] -}); - -async function chatCompletion() { - const stream = await openai.beta.chat.completions.stream({ - model: 'gpt-3.5-turbo', - messages: [{ role: 'user', content: 'Say this is a test' }], - stream: true, - }); - - stream.on('content', (delta, snapshot) => { - process.stdout.write(delta); - }); - - for await (const chunk of stream) { - process.stdout.write(chunk.choices[0]?.delta?.content || ''); - } - - const chatCompletion = await stream.finalChatCompletion(); - console.log(chatCompletion); // {id: "…", choices: […], …} -} -chatCompletion() -``` - -
Azure OAI - -```typescript -import OpenAI from 'openai'; - -const resource = ''; -const model = ''; -const apiVersion = '2023-06-01-preview'; -const apiKey = process.env['AZURE_OPENAI_API_KEY']; - -if (!apiKey) { - throw new Error('The AZURE_OPENAI_API_KEY variable is missing.'); -} - -const baseURL = `https://${resource}.openai.azure.com/openai/` + - `deployments/${model}`; - -const openai = new OpenAI({ - apiKey, - baseURL, - defaultQuery: { 'api-version': apiVersion }, - defaultHeaders: { 'api-key': apiKey }, -}); - -async function chatCompletion() { - try { - const stream = await openai.beta.chat.completions.stream({ - model: 'gpt-3.5-turbo', - messages: [{ role: 'user', content: 'Say this is a test' }], - stream: true, - }); - - stream.on('content', (delta, snapshot) => { - process.stdout.write(delta); - }); - - for await (const chunk of stream) { - process.stdout.write(chunk.choices[0]?.delta?.content || ''); - } - - const chatCompletion = await stream.finalChatCompletion(); - console.log(chatCompletion); // Log the final completion - } catch (error) { - console.error('Error in chat completion:', error); - } -} - -chatCompletion(); -``` - -
- -> Resource: -> - [Azure Create a resource](https://learn.microsoft.com/en-us/azure/cognitive-services/openai/how-to/create-resource?pivots=web-portal#create-a-resource) -> - [Azure-OAI Rest API versoning](https://learn.microsoft.com/en-us/azure/ai-services/openai/reference#rest-api-versioning) - -## Embedding - - - - - - - - - - - - - - - - -
Engine Embedding
Nitro - -```typescript -import OpenAI from 'openai'; - -const openai = new OpenAI({ - apiKey: '', // Defaults to process.env["OPENAI_API_KEY"] - baseURL: 'http://localhost:3928/v1/' - // 'https://api.openai.com/v1' -}); - -async function embedding() { - try { - const response = await openai.embeddings.create({ - input: 'Hello How are you?', - model: 'text-embedding-ada-002' - }); - console.log(response); // Log the response - } catch (error) { - console.error('Error in fetching embedding:', error); - } -} - -embedding(); -``` -
OAI - -```typescript -import OpenAI from 'openai'; - -const openai = new OpenAI({ - apiKey: '', // defaults to process.env["OPENAI_API_KEY"] -}); - -async function embedding() { - const embedding = await openai.embeddings.create({ - input: 'Hello How are you?', - model: 'text-embedding-ada-002' - }); - console.log(embedding); // {object: "list", data: […], …} -} - -embedding(); -``` - -
Azure OAI - -```typescript -import OpenAI from 'openai'; - -const resource = ''; -const model = ''; -const apiVersion = '2023-06-01-preview'; -const apiKey = process.env['AZURE_OPENAI_API_KEY']; - -if (!apiKey) { - throw new Error('The AZURE_OPENAI_API_KEY variable is missing.'); -} - -// Splitting the baseURL into concatenated parts for readability -const baseURL = `https://${resource}.openai.azure.com/openai/` + - `deployments/${model}`; - -const openai = new OpenAI({ - apiKey, - baseURL, - defaultQuery: { 'api-version': apiVersion }, - defaultHeaders: { 'api-key': apiKey }, -}); - -async function embedding() { - const embedding = await openai.embeddings.create({ - input: 'Hello How are you?', - model: 'text-embedding-ada-002' - }); - console.log(embedding); // {object: "list", data: […], …} -} - -embedding(); -``` - -
- -## Audio - -:::info Coming soon -::: - -## How to reproduce - -**Step 1:** Dependencies installation - -```bash -npm install --save openai typescript -# or -yarn add openai -``` - -**Step 2:** Fill `tsconfig.json` - -```js -{ - "compilerOptions": { - "moduleResolution": "node", - "sourceMap": true, - "outDir": "dist", - "target": "es2020", - "lib": ["es2020"], - "module": "commonjs", - }, - "lib": ["es2015"] -} -``` - -**Step 3:** Fill `index.ts` file with code. - -**Step 4:** Build with `npx tsc`. - -**Step 5:** Run the code with `node dist/index.js`. \ No newline at end of file diff --git a/docs/docs/examples/openai-python.md b/docs/docs/examples/openai-python.md deleted file mode 100644 index 6fb54c2e8..000000000 --- a/docs/docs/examples/openai-python.md +++ /dev/null @@ -1,195 +0,0 @@ ---- -title: Nitro with openai-python -description: Nitro intergration guide for Python. -keywords: [Nitro, Jan, fast inference, inference server, local AI, large language model, OpenAI compatible, open source, llama] ---- - - -You can migrate from OAI API or Azure OpenAI to Nitro using your existing Python code quickly -> The **ONLY** thing you need to do is to override `baseURL` in `openai` init with `Nitro` URL -- Python OpenAI SDK: https://pypi.org/project/openai/ - -## Chat Completion - - - - - - - - - - - - - - - - -
Engine Python Code
Nitro - -```python -import asyncio - -from openai import AsyncOpenAI - -# gets API Key from environment variable OPENAI_API_KEY -client = AsyncOpenAI( - base_url="http://localhost:3928/v1/", - api_key="sk-xxx" -) - - -async def main() -> None: - stream = await client.chat.completions.create( - model="gpt-4", - messages=[{"role": "user", "content": "Say this is a test"}], - stream=True, - ) - async for completion in stream: - print(completion.choices[0].delta.content, end="") - print() - -asyncio.run(main()) -``` -
OAI - -```python -import asyncio - -from openai import AsyncOpenAI - -# gets API Key from environment variable OPENAI_API_KEY -client = AsyncOpenAI(api_key="sk-xxx") - - -async def main() -> None: - stream = await client.chat.completions.create( - model="gpt-4", - messages=[{"role": "user", "content": "Say this is a test"}], - stream=True, - ) - async for completion in stream: - print(completion.choices[0].delta.content, end="") - print() - -asyncio.run(main()) -``` - -
Azure OAI - -```python -from openai import AzureOpenAI - -openai.api_key = '...' # Default is AZURE_OPENAI_API_KEY - -stream = AzureOpenAI( - api_version=api_version, - azure_endpoint="https://example-endpoint.openai.azure.com", -) - -completion = client.chat.completions.create( - model="deployment-name", # e.g. gpt-35-instant - messages=[{"role": "user", "content": "Say this is a test"}], - stream=True, -) -for part in stream: - print(part.choices[0].delta.content or "") -``` - -
- -## Embedding - - - - - - - - - - - - - - - - -
Engine Embedding
Nitro - -```python -import asyncio - -from openai import AsyncOpenAI - -# gets API Key from environment variable OPENAI_API_KEY -client = AsyncOpenAI(base_url="http://localhost:3928/v1/", - api_key="sk-xxx") - - -async def main() -> None: - embedding = await client.embeddings.create( - input='Hello How are you?', - model='text-embedding-ada-002' - ) - print(embedding) - -asyncio.run(main()) -``` -
OAI - -```python -import asyncio - -from openai import AsyncOpenAI - -# gets API Key from environment variable OPENAI_API_KEY -client = AsyncOpenAI(api_key="sk-xxx") - - -async def main() -> None: - embedding = await client.embeddings.create( - input='Hello How are you?', - model='text-embedding-ada-002' - ) - print(embedding) - -asyncio.run(main()) -``` - -
Azure OAI - -```python -import openai - -openai.api_type = "azure" -openai.api_key = YOUR_API_KEY -openai.api_base = "https://YOUR_RESOURCE_NAME.openai.azure.com" -openai.api_version = "2023-05-15" - -response = openai.embedding.create( - input="Your text string goes here", - engine="YOUR_DEPLOYMENT_NAME" -) -embeddings = response['data'][0]['embedding'] -print(embeddings) -``` - -
- -## Audio - -:::info Coming soon -::: - -## How to reproduce -**Step 1:** Dependencies installation. - -```bash title="Install OpenAI" -pip install openai -``` - -**Step 2:** Fill `index.py` file with code. - -**Step 3:** Run the code with `python index.py`. \ No newline at end of file diff --git a/docs/docs/examples/palchat.md b/docs/docs/examples/palchat.md deleted file mode 100644 index 438f071bc..000000000 --- a/docs/docs/examples/palchat.md +++ /dev/null @@ -1,67 +0,0 @@ ---- -title: Nitro with Pal Chat -description: Nitro intergration guide for mobile device usage. -keywords: [Nitro, Jan, fast inference, inference server, local AI, large language model, OpenAI compatible, open source, llama] ---- - -This guide demonstrates how to use Nitro with Pal Chat, enabling local AI chat capabilities on mobile devices. - -## What is Pal - AI Chat Client? - -Pal is a mobile app available on the App Store. It offers a customizable chat playground and supports various AI models including GPT-4 Turbo, GPT-4 Vision, DALL-E 3, Claude 2, PaLM, Openrouter, and locally hosted LLMs. - -- [Download Pal Chat](https://apps.apple.com/us/app/pal-ai-chat-client/id6447545085) - -## Using Pal with Nitro - -**1. Start Nitro server** - -Open your terminal: -```bash title="Run Nitro" -nitro -``` - -**2. Download Model** - -Use these commands to download and save the [Llama2 7B chat model](https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGUF/tree/main): - -```bash title="Get a model" -mkdir model && cd model -wget -O llama-2-7b-model.gguf https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGUF/resolve/main/llama-2-7b-chat.Q5_K_M.gguf -``` - -> For more GGUF model, please look at [The Bloke](https://huggingface.co/TheBloke). - -**3. Run the Model** - -To load the model, use the following command: - -```bash title="Load model to the server" -curl http://localhost:3928/inferences/llamacpp/loadmodel \ - -H 'Content-Type: application/json' \ - -d '{ - "llama_model_path": "model/llama-2-7b-chat.Q5_K_M.gguf", - "ctx_len": 512, - "ngl": 100, - }' -``` - -**4. Configure Pal Chat** - -In the `OpenAI API Key` field, just type any random text (e.g. key-xxxxxx). - -Adjust the `provide custom host` setting under `advanced settings` in Pal Chat with your LAN IPv4 address (a series of numbers like 192.xxx.x.xxx). - -> For instruction: [How to find your IP](https://support.microsoft.com/en-us/windows/find-your-ip-address-in-windows-f21a9bbc-c582-55cd-35e0-73431160a1b9) - -![PalChat](img/pal.png) - -**5. Chat with the Model** - -Once the setup is complete, you can start chatting with the model using Pal Chat. - - - -## Futher Usage - -For convenient usage, you can utilize [Jan](https://jan.ai/), as it is integrated with Nitro. \ No newline at end of file diff --git a/docs/docs/features/chat.md b/docs/docs/features/chat.md deleted file mode 100644 index 939c46b07..000000000 --- a/docs/docs/features/chat.md +++ /dev/null @@ -1,179 +0,0 @@ ---- -title: Chat Completion -description: Inference engine for chat completion, the same as OpenAI's -keywords: [Nitro, Jan, fast inference, inference server, local AI, large language model, OpenAI compatible, open source, llama] ---- - -The Chat Completion feature in Nitro provides a flexible way to interact with any local Large Language Model (LLM). - -### Single Request Example - -To send a single query to your chosen LLM, follow these steps: - -

- -```bash title="Nitro" -curl http://localhost:3928/v1/chat/completions \ - -H "Content-Type: application/json" \ - -d '{ - "model": "", - "messages": [ - { - "role": "user", - "content": "Hello" - }, - ] - }' - -``` - -
- -
- -```bash title="OpenAI" -curl https://api.openai.com/v1/chat/completions \ - -H "Content-Type: application/json" \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -d '{ - "model": "gpt-3.5-turbo", - "messages": [ - { - "role": "user", - "content": "Hello" - } - ] - }' -``` - -
- -This command sends a request to your local LLM, querying about the winner of the 2020 World Series. - -### Dialog Request Example - -For ongoing conversations or multiple queries, the dialog request feature is ideal. Here’s how to structure a multi-turn conversation: - -
- -```bash title="Nitro" -curl http://localhost:3928/v1/chat/completions \ - -H "Content-Type: application/json" \ - -d '{ - "messages": [ - { - "role": "system", - "content": "You are a helpful assistant." - }, - { - "role": "user", - "content": "Who won the world series in 2020?" - }, - { - "role": "assistant", - "content": "The Los Angeles Dodgers won the World Series in 2020." - }, - { - "role": "user", - "content": "Where was it played?" - } - ] - }' - -``` - -
- -
- -```bash title="OpenAI" -curl https://api.openai.com/v1/chat/completions \ - -H "Content-Type: application/json" \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -d '{ - "messages": [ - { - "role": "system", - "content": "You are a helpful assistant." - }, - { - "role": "user", - "content": "Who won the world series in 2020?" - }, - { - "role": "assistant", - "content": "The Los Angeles Dodgers won the World Series in 2020." - }, - { - "role": "user", - "content": "Where was it played?" - } - ] - }' -``` - -
- -### Chat Completion Response - -Below are examples of responses from both the Nitro server and OpenAI: - -
- -```js title="Nitro" -{ - "choices": [ - { - "finish_reason": "stop", - "index": 0, - "message": { - "content": "Hello, how may I assist you this evening?", - "role": "assistant" - } - } - ], - "created": 1700215278, - "id": "sofpJrnBGUnchO8QhA0s", - "model": "_", - "object": "chat.completion", - "system_fingerprint": "_", - "usage": { - "completion_tokens": 13, - "prompt_tokens": 90, - "total_tokens": 103 - } -} -``` - -
- -
- -```js title="OpenAI" -{ - "choices": [ - { - "finish_reason": "stop", - "index": 0, - "message": { - "role": "assistant", - "content": "Hello there, how may I assist you today?", - } - } - ], - "created": 1677652288, - "id": "chatcmpl-123", - "model": "gpt-3.5-turbo-0613", - "object": "chat.completion", - "system_fingerprint": "fp_44709d6fcb", - "usage": { - "completion_tokens": 12, - "prompt_tokens": 9, - "total_tokens": 21 - } -} -``` - -
- -The chat completion feature in Nitro showcases compatibility with OpenAI, making the transition between using OpenAI and local AI models more straightforward. For further details and advanced usage, please refer to the [API reference](https://nitro.jan.ai/api-reference). diff --git a/docs/docs/features/cont-batch.md b/docs/docs/features/cont-batch.md deleted file mode 100644 index d853db933..000000000 --- a/docs/docs/features/cont-batch.md +++ /dev/null @@ -1,33 +0,0 @@ ---- -title: Continuous Batching -description: Nitro's continuous batching combines multiple requests, enhancing throughput. -keywords: [Nitro, Jan, fast inference, inference server, local AI, large language model, OpenAI compatible, open source, llama] ---- - -Continuous batching boosts throughput and minimizes latency in large language model (LLM) inference. This technique groups multiple inference requests, significantly improving GPU utilization. - -**Key Advantages:** - -- Increased Throughput. -- Reduced Latency. -- Efficient GPU Use. - -**Implementation Insight:** - -To evaluate its effectiveness, compare continuous batching with traditional methods. For more details on benchmarking, refer to this [article](https://www.anyscale.com/blog/continuous-batching-llm-inference). - -## How to use continous batching -Nitro's `continuous batching` feature allows you to combine multiple requests for the same model execution, enhancing throughput and efficiency. - -```bash title="Enable Batching" {6,7} -curl http://localhost:3928/inferences/llamacpp/loadmodel \ - -H 'Content-Type: application/json' \ - -d '{ - "llama_model_path": "/path/to/your_model.gguf", - "ctx_len": 512, - "cont_batching": true, - "n_parallel": 4, - }' -``` - -For optimal performance, ensure that the `n_parallel` value is set to match the `thread_num`, as detailed in the [Multithreading](features/multi-thread.md) documentation. \ No newline at end of file diff --git a/docs/docs/features/embed.md b/docs/docs/features/embed.md deleted file mode 100644 index 77f610981..000000000 --- a/docs/docs/features/embed.md +++ /dev/null @@ -1,84 +0,0 @@ ---- -title: Embedding -description: Inference engine for embedding, the same as OpenAI's -keywords: [Nitro, Jan, fast inference, inference server, local AI, large language model, OpenAI compatible, open source, llama] ---- - -Embeddings are lists of numbers (floats). To find how similar two embeddings are, we measure the [distance](https://en.wikipedia.org/wiki/Cosine_similarity) between them. - -## Activating Embedding Feature - -To utilize the embedding feature, include the JSON parameter `"embedding": true` in your [load model request](features/load-unload.md). This action enables Nitro to process inferences with embedding capabilities. - -### Embedding Request - -Here’s an example showing how to get the embedding result from the model: - -
- -```bash title="Nitro" {1} -curl http://localhost:3928/v1/embeddings \ - -H 'Content-Type: application/json' \ - -d '{ - "input": "Hello", - "model":"Llama-2-7B-Chat-GGUF", - "encoding_format": "float" - }' - -``` - -
-
- -```bash title="OpenAI request" {1} -curl https://api.openai.com/v1/embeddings \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: application/json" \ - -d '{ - "input": "Hello", - "model": "text-embedding-ada-002", - "encoding_format": "float" - }' -``` - -
- -### Embedding Reponse - -The example response used the output from model [llama2 Chat 7B Q5 (GGUF)](https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGUF/tree/main) loaded to Nitro server. - -
- -```js title="Nitro" -{ - "embedding": [ - -0.9874749, - 0.2965493, - ... - -0.253227 - ], - "index": 0, - "object": "embedding" -} -``` - -
- -
- -```js title="OpenAI" -{ - "embedding": [ - 0.0023064255, - -0.009327292, - .... - -0.0028842222, - ], - "index": 0, - "object": "embedding" -} -``` - -
- -The embedding feature in Nitro demonstrates a high level of compatibility with OpenAI. For more detailed information and advanced use cases, refer to the comprehensive [API Reference](https://nitro.jan.ai/api-reference). diff --git a/docs/docs/features/feat.md b/docs/docs/features/feat.md deleted file mode 100644 index bc091a547..000000000 --- a/docs/docs/features/feat.md +++ /dev/null @@ -1,24 +0,0 @@ ---- -title: Nitro Features -description: What Nitro supports -keywords: [Nitro, Jan, fast inference, inference server, local AI, large language model, OpenAI compatible, open source, llama] ---- - -Nitro enhances the `llama.cpp` research base, optimizing it for production environments with advanced features: - -### Ease of Use -- **1-Click Install**: Simplified setup process, making it accessible for non-technical users. -- **HTTP Interface**: Easy integration with no complex bindings required. - -### Cross-Platform and Hardware Compatibility -- **Runs on Multiple OS**: Supports Windows, MacOS, and Linux. -- **Wide Hardware Support**: Compatible with arm64, x86 CPUs, and NVIDIA GPUs. - -### Performance and Scalability -- **Separate Process Operation**: Runs independently, ensuring no interference with main app processes. -- **Multi-Threaded Server**: Capable of handling multiple users concurrently. -- **Efficient Binary Size**: Lightweight footprint with a small binary size (~3mb compressed). - -### Developer and Industry Compatibility -- **OpenAI Compatibility**: Seamless integration with OpenAI models and standards. -- **No Hardware Dependencies**: Flexibility in deployment without specific hardware requirements. diff --git a/docs/docs/features/grammar.md b/docs/docs/features/grammar.md deleted file mode 100644 index 8041a5aa7..000000000 --- a/docs/docs/features/grammar.md +++ /dev/null @@ -1,33 +0,0 @@ ---- -title: GBNF Grammar -description: What Nitro supports -keywords: [Nitro, Jan, fast inference, inference server, local AI, large language model, OpenAI compatible, open source, llama] ---- - -## GBNF Grammar - -GBNF (GGML BNF) makes it easy to set rules for how a model talks or writes. Think of it like teaching the model to always speak correctly, whether it's in emoji or proper JSON format. - -Bakus-Naur Form (BNF) is a way to describe the rules of computer languages, files, and how they talk to each other. GBNF builds on BNF, adding modern features similar to those found in regular expressions. - -In GBNF, we create rules (production rules) to guide how a model forms its responses. These rules use a mix of fixed characters (like letters or emojis) and flexible parts that can change. Each rule follows a format: `nonterminal ::= sequence...`. - -To get a clearer picture, check out [this guide](https://github.com/ggerganov/llama.cpp/blob/master/grammars/README.md). - -## Use GBNF Grammar in Nitro - -To make your Nitro model follow specific speaking or writing rules, use this command: - -```bash title="Nitro Inference With Grammar" {10} -curl http://localhost:3928/v1/chat/completions \ - -H "Content-Type: application/json" \ - -d '{ - "messages": [ - { - "role": "user", - "content": "Who won the world series in 2020?" - }, - ], - "grammar_file": "/path/to/grammarfile" - }' -``` diff --git a/docs/docs/features/load-unload.md b/docs/docs/features/load-unload.md deleted file mode 100644 index fb22360e4..000000000 --- a/docs/docs/features/load-unload.md +++ /dev/null @@ -1,83 +0,0 @@ ---- -title: Load and Unload models -description: Nitro loads and unloads local AI models (local LLMs). -keywords: [Nitro, Jan, fast inference, inference server, local AI, large language model, OpenAI compatible, open source, llama] ---- - -## Load model - -The `loadmodel` in Nitro lets you load a local model into the server. It's an upgrade from `llama.cpp`, offering more features and customization options. - -You can load the model using: - -```bash title="Load Model" {1} -curl http://localhost:3928/inferences/llamacpp/loadmodel \ - -H 'Content-Type: application/json' \ - -d '{ - "llama_model_path": "/path/to/your_model.gguf", - "ctx_len": 512, - }' -``` - -For more detail on the loading model, please refer to [Table of parameters].(#table-of-parameters). - -### Enabling GPU Inference - -To enable GPU inference in Nitro, a simple POST request is used. This request will instruct Nitro to load the specified model into the GPU, significantly boosting the inference throughput. - -```bash title="GPU enable" {5} -curl http://localhost:3928/inferences/llamacpp/loadmodel \ - -H 'Content-Type: application/json' \ - -d '{ - "llama_model_path": "/path/to/your_model.gguf", - "ctx_len": 512, - "ngl": 100, - }' -``` - -You can adjust the `ngl` parameter based on your requirements and GPU capabilities. - -## Unload model -To unload a model, you can use a similar `curl` command as loading the model, adjusting the endpoint to `/unloadmodel.` - -```bash title="Unload the model" {1} -curl http://localhost:3928/inferences/llamacpp/unloadmodel -``` - -## Status -The `modelStatus` function provides the current status of the model, including whether it is loaded and its properties. This function offers improved monitoring capabilities compared to `llama.cpp`. - -```bash title="Check Model Status" {1} -curl http://localhost:3928/inferences/llamacpp/modelstatus -``` - -If you load the model correctly, the response would be - -```js title="Load Model Sucessfully" -{"message":"Model loaded successfully", "code": "ModelloadedSuccessfully"} -``` - -In case you got error while loading models. Please check for the correct model path. -```js title="Load Model Failed" -{"message":"No model loaded", "code": "NoModelLoaded"} -``` - -### Table of parameters - -| Parameter | Type | Description | -|------------------|---------|--------------------------------------------------------------| -| `llama_model_path` | String | The file path to the LLaMA model. | -| `ngl` | Integer | The number of GPU layers to use. | -| `ctx_len` | Integer | The context length for the model operations. | -| `embedding` | Boolean | Whether to use embedding in the model. | -| `n_parallel` | Integer | The number of parallel operations.| -| `cont_batching` | Boolean | Whether to use continuous batching. | -|`cpu_threads`|Integer|The number of threads for CPU inference.| -| `user_prompt` | String | The prompt to use for the user. | -| `ai_prompt` | String | The prompt to use for the AI assistant. | -| `system_prompt` | String | The prompt for system rules. | -| `pre_prompt` | String | The prompt to use for internal configuration. | -|`clean_cache_threshold`| Integer| Number of chats that will trigger clean cache action.| -|`grp_attn_n`|Integer|Group attention factor in self-extend| -|`grp_attn_w`|Integer|Group attention width in self-extend| -|`mlock`|Boolean|Prevent system swapping of the model to disk in macOS| \ No newline at end of file diff --git a/docs/docs/features/log.md b/docs/docs/features/log.md deleted file mode 100644 index d0e4511ef..000000000 --- a/docs/docs/features/log.md +++ /dev/null @@ -1,25 +0,0 @@ ---- -title: Logging -description: Enabling logging in Nitro. -keywords: [Nitro, log, Jan, fast inference, inference server, local AI, large language model, OpenAI compatible, open source, llama] ---- - - -## Enabling Logging - -Nitro's logging feature can be activated by specifying a log folder. This is crucial for monitoring and troubleshooting. - -## Setting Up Logging - -To configure logging, you need to specify the path to the log folder. Use the following command to set it up: - -```bash title="Config logging" {5} -curl http://localhost:3928/inferences/llamacpp/loadmodel \ - -H 'Content-Type: application/json' \ - -d '{ - "llama_model_path": "/path/to/your_model.gguf", - "llama_log_folder": "/path/to/log/folder/" - }' -``` - -> **Note:** Ensure the log folder exists before running this command. If the specified folder does not exist, logs will default to your current directory. \ No newline at end of file diff --git a/docs/docs/features/multi-thread.md b/docs/docs/features/multi-thread.md deleted file mode 100644 index cf65bfa95..000000000 --- a/docs/docs/features/multi-thread.md +++ /dev/null @@ -1,38 +0,0 @@ ---- -title: Multithreading -description: Nitro utilizes multithreading to optimize hardware usage. -keywords: [Nitro, Jan, fast inference, inference server, local AI, large language model, OpenAI compatible, open source, llama] ---- - -Multithreading in programming allows concurrent task execution, improving efficiency and responsiveness. It's key for optimizing hardware and application performance. - -**Effective multithreading offers:** - -- Faster Performance. -- Responsive IO. -- Deadlock Prevention. -- Resource Optimization. -- Asynchronous Programming Support. -- Scalability Enhancement. - -For more information on threading, visit [Drogon's Documentation](https://github.com/drogonframework/drogon/wiki/ENG-FAQ-1-Understanding-drogon-threading-model). - -## Enabling Multi-Threads on Nitro - -To increase the number of threads used by Nitro, use the following command syntax: - -```bash title="Nitro deploy server format" -nitro [thread_num] [host] [port] [uploads_folder_path] -``` - -- **thread_num:** Specifies the number of threads for the Nitro server. -- **host:** The host address normally `127.0.0.1` (localhost) or `0.0.0.0` (all interfaces). -- **port:** The port number where Nitro is to be deployed. -- **uploads_folder_path:** To set a custom path for file uploads in Drogon. Otherwise, it uses the current folder as the default location. - -To launch Nitro with 4 threads, enter this command in the terminal: -```bash title="Example" -nitro 4 127.0.0.1 5000 -``` - -> After enabling multithreading, monitor your system's performance. Adjust the `thread_num` as needed to optimize throughput and latency based on your workload. \ No newline at end of file diff --git a/docs/docs/features/prompt.md b/docs/docs/features/prompt.md deleted file mode 100644 index 28c498671..000000000 --- a/docs/docs/features/prompt.md +++ /dev/null @@ -1,60 +0,0 @@ ---- -title: Prompt Role Support -description: Setting up Nitro prompts to build an AI assistant. -keywords: [Nitro, Jan, fast inference, inference server, local AI, large language model, OpenAI compatible, open source, llama] ---- - -System, user, and assistant prompt is crucial for effectively utilizing the Large Language Model. These prompts work together to create a coherent and functional conversational flow. - -Nitro enables developers to configure dialogs and implement advanced prompt engineering, such as [few-shot learning](https://arxiv.org/abs/2005.14165). - -## System Prompt -- **Definition**: Sets up the assistant's behavior. -- **Example**: `pre_prompt: "You are a Pirate"` - -## User Prompt -- **Definition**: Requests or comments directed towards the assistant, forming the conversation's core. -- **Example**: `user_prompt: "USER:"` - -## Assistant Prompt -- **Definition**: Responses generated by the assistant, including stored responses or developer-provided examples. -- **Example**: `ai_prompt: "ASSISTANT:"` - -## Example usage - -To illustrate, let's create a "Pirate assistant": - -> NOTE: "ai_prompt", "user_prompt" and "system_prompt" are prefixes indicating the role. Configure them based on your model. - -### Prompt Configuration - -```bash title="Prompt Configuration" {6,7,8} -curl http://localhost:3928/inferences/llamacpp/loadmodel \ - -H 'Content-Type: application/json' \ - -d '{ - "ctx_len": 128, - "ngl": 100, - "pre_prompt": "You are a Pirate. Using drunk language with a lot of Arr...", - "system_prompt": "ASSISTANT'S RULE: ", - "user_prompt": "USER:", - "ai_prompt": "ASSISTANT: " - }' -``` - -### Testing the Assistant - -```bash title="Pirate Assistant" -curl http://localhost:3928/v1/chat/completions \ - -H "Content-Type: application/json" \ - -d '{ - "messages": [ - { - "role": "user", - "content": "Hello, who is your captain?" - }, - ] - }' -``` - - - diff --git a/docs/docs/features/self-extend.md b/docs/docs/features/self-extend.md deleted file mode 100644 index 8856c1c27..000000000 --- a/docs/docs/features/self-extend.md +++ /dev/null @@ -1,29 +0,0 @@ ---- -title: Self extend -description: Self-Extend LLM Context Window Without Tuning -keywords: [long context, longlm, Nitro, Jan, fast inference, inference server, local AI, large language model, OpenAI compatible, open source, llama] ---- - -## Enhancing LLMs with Self-Extend -Self-Extend offers an innovative approach to increase the context window of Large Language Models (LLMs) without the usual need for re-tuning. This method adapts the attention mechanism during the inference phase and eliminates the necessity for additional training or fine-tuning. - -For in-depth technical insights, refer to their research [paper](https://arxiv.org/pdf/2401.01325.pdf). - -## Activating Self-Extend for LLMs - -To activate the Self-Extend feature while loading your model, use the following command: - -```bash title="Enable Self-Extend" {6,7} -curl http://localhost:3928/inferences/llamacpp/loadmodel \ - -H 'Content-Type: application/json' \ - -d '{ - "llama_model_path": "/path/to/your_model.gguf", - "ctx_len": 8192, - "grp_attn_n": 4, - "grp_attn_w": 2048, - }' -``` - -**Note:** -- For optimal performance, `grp_attn_w` should be as large as possible, but smaller than the training context length. -- Setting `grp_attn_n` between 2 to 4 is recommended for peak efficiency. Higher values may result in increased incoherence in output. \ No newline at end of file diff --git a/docs/docs/features/vision.md b/docs/docs/features/vision.md deleted file mode 100644 index 22659c78f..000000000 --- a/docs/docs/features/vision.md +++ /dev/null @@ -1,65 +0,0 @@ ---- -title: Vision -description: Inference engine for vision, the same as OpenAI's -keywords: [Nitro, Jan, fast inference, inference server, local AI, large language model, OpenAI compatible, open source, llava, bakllava, vision] ---- - -## Load model -Just like loading the Chat model, for the vision model, you need two specific types: -- the `GGUF model` -- the `mmproj model`. - -You can load the model using: - -```bash title="Load Model" {3,4} -curl -X POST 'http://127.0.0.1:3928/inferences/llamacpp/loadmodel' -H 'Content-Type: application/json' -d '{ - "llama_model_path": "/path/to/gguf/model/", - "mmproj": "/path/to/mmproj/model/", - "ctx_len": 2048, - "ngl": 100, - "cont_batching": false, - "embedding": false, - "system_prompt": "", - "user_prompt": "\n### Instruction:\n", - "ai_prompt": "\n### Response:\n" - }' -``` - -Download the models here: -- [Llava Model](https://huggingface.co/jartine/llava-v1.5-7B-GGUF/tree/main): Large Language and Vision Assistant achieves SoTA on 11 benchmarks. -- [Bakllava Model](https://huggingface.co/mys/ggml_bakllava-1/tree/main) is a Mistral 7B base augmented with the LLaVA architecture. - -## Inference - -Nitro currently only works with images converted to base64 format. Use this [base64 converter](https://www.base64-image.de/) to prepare your images. - -To get the model's understanding of an image, do the following: - -```bash title="Inference" -curl http://127.0.0.1:3928/v1/chat/completions \ - -H "Content-Type: application/json" \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -d '{ - "model": "gpt-4-vision-preview", - "messages": [ - { - "role": "user", - "content": [ - { - "type": "text", - "text": "What’s in this image?" - }, - { - "type": "image_url", - "image_url": { - "url": "" - } - } - ] - } - ], - "max_tokens": 300 - }' -``` - -If the base64 string is too long and causes errors, consider using [Postman](https://www.postman.com/) as an alternative. \ No newline at end of file diff --git a/docs/docs/features/warmup.md b/docs/docs/features/warmup.md deleted file mode 100644 index cebf61069..000000000 --- a/docs/docs/features/warmup.md +++ /dev/null @@ -1,14 +0,0 @@ ---- -title: Warming Up Model -description: Nitro warms up the model to optimize delays. -keywords: [Nitro, Jan, fast inference, inference server, local AI, large language model, OpenAI compatible, open source, llama] ---- - -Model warming up involves pre-running requests through an AI model to fine-tune its components for production. This step minimizes delays during initial inferences, ensuring readiness for immediate use. - -**Key Advantages:** -- Improved Initial Performance. -- Stable Response Times. -## How to Enable Model Warming Up? - -On the Nitro server, model warming up is automatically enabled whenever a new model is loaded. This means that the server handles the warm-up process behind the scenes, ensuring that the model is ready for efficient and effective performance from the first inference request. diff --git a/docs/docs/new/about.md b/docs/docs/new/about.md deleted file mode 100644 index b49c834a4..000000000 --- a/docs/docs/new/about.md +++ /dev/null @@ -1,123 +0,0 @@ ---- -title: About Nitro -slug: /docs -description: Efficient LLM inference engine for edge computing -keywords: [Nitro, Jan, fast inference, inference server, local AI, large language model, OpenAI compatible, open source, llama] ---- - -Nitro is a high-efficiency C++ inference engine for edge computing, powering [Jan](https://jan.ai/). It is lightweight and embeddable, ideal for product integration. - -Learn more on [GitHub](https://github.com/janhq/nitro). - -## Why Nitro? - -- **Fast Inference:** Built on top of the cutting-edge inference library `llama.cpp`, modified to be production ready. -- **Lightweight:** Only 3MB, ideal for resource-sensitive environments. -- **Easily Embeddable:** Simple integration into existing applications, offering flexibility. -- **Quick Setup:** Approximately 10-second initialization. -- **Enhanced Web Framework:** Incorporates `drogon cpp` to boost web service efficiency. - -### OpenAI-compatible API - -Nitro's compatibility with OpenAI's API structure is a notable advantage. Its command format for inference calls closely mirrors that of OpenAI, facilitating an easy transition for users. - -For instance, compare the Nitro inference call: - -
- -```bash title="Nitro chat completion" -curl http://localhost:3928/v1/chat/completions \ - -H "Content-Type: application/json" \ - -d '{ - "model": "gpt-3.5-turbo", - "messages": [ - { - "role": "system", - "content": "You are a helpful assistant." - }, - { - "role": "user", - "content": "Who won the world series in 2020?" - }, - ] - }' - -``` - -
- -
- -```bash title="OpenAI API chat completion" -curl https://api.openai.com/v1/chat/completions \ - -H "Content-Type: application/json" \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -d '{ - "model": "gpt-3.5-turbo", - "messages": [ - { - "role": "system", - "content": "You are a helpful assistant." - }, - { - "role": "user", - "content": "Who won the world series in 2020?" - }, - ] - }' -``` - -
- -- **Extends OpenAI's API with helpful model methods:** - - [Unload model](features/load-unload#unload-model) - - [Checking model status](features/load-unload/#status) - -### Cross-Platform - -- **Operating Systems**: Nitro Supports Windows, Linux, and MacOS. -- **Hardware Compatibility**: - - CPUs: ARM, x86. - - GPUs: Nvidia, AMD. -- **Detailed Resources**: [Windows Installation Guide](install/#windows), [Linux and MacOS Installation Guide](install/#linux-and-macos). - -### Multi-modal Capabilities - -- **Coming Soon**: Expansion to multi-modal functionalities - enabling Nitro to process and generate images, and audio. -- **Features to Expect**: - - Large Language-and-Vision Assistant. - - Speech recognition and transcription. - -## Architecture - -- **Overview**: Nitro's architecture is designed for scalability and efficiency, utilizing a modular framework that supports diverse AI functionalities. -- **Detailed Specifications**: For an in-depth understanding of Nitro's internal workings, components, and design philosophy, refer to our [Architecture Specifications](architecture.md). - -## Support - -### GitHub Issue Tracking - -- **Report Problems**: Encounter an issue with Nitro? File a [GitHub issue](https://github.com/janhq/nitro). Please include detailed error logs and steps to reproduce the problem. - -### Discord Community - -- **Join the Conversation**: Discuss Nitro development and seek peer support in our [#nitro-dev](https://discord.gg/FTk2MvZwJH) channel on Discord. - -## Contributing - -### How to Contribute - -Nitro welcomes contributions in various forms, not just coding. Here are some ways you can get involved: - -- **Understand Nitro**: Start with the [Getting Started](/new/quickstart) guide. Found an issue or have a suggestion? [Open an issue](https://github.com/janhq/nitro/issues) to let us know. - -- **Feature Development**: Engage with community feature requests. Bring ideas to life by opening a [pull request](https://github.com/janhq/nitro/pulls) for features that interest you. - -### Links - -- [Nitro GitHub Repository](https://github.com/janhq/nitro) - -## Acknowledgements - -- [drogon](https://github.com/drogonframework/drogon): The fast C++ web framework -- [llama.cpp](https://github.com/ggerganov/llama.cpp): Inference of LLaMA model in pure C/C++ diff --git a/docs/docs/new/architecture.md b/docs/docs/new/architecture.md deleted file mode 100644 index f23657465..000000000 --- a/docs/docs/new/architecture.md +++ /dev/null @@ -1,30 +0,0 @@ ---- -title: Architecture -slug: /achitecture -keywords: [Nitro, Jan, fast inference, inference server, local AI, large language model, OpenAI compatible, open source, llama] ---- - -![Nitro Architecture](img/architecture.drawio.png) - -## Key Concepts - -## Inference Server - -An inference server is a type of server designed to process requests for running large language models and to return predictions. This server acts as the backbone for AI-powered applications, providing real-time execution of models to analyze data and make decisions. - -## Batching - -Batching refers to the process of grouping several tasks and processing them as a single batch. In large language models inference, this means combining multiple inference requests into one batch to improve computational efficiency, leading to quicker response times and higher throughput. - -## Parallel Processing - -Parallel processing involves executing multiple computations simultaneously. For web servers and applications, this enables the handling of multiple requests at the same time, ensuring high efficiency and preventing delays in request processing. - -## Drogon Framework - -Drogon is an HTTP application framework based on C++14/17, designed for its speed and simplicity. Utilizing a non-blocking I/O and event-driven architecture, Drogon manages HTTP requests efficiently for high-performance and scalable applications. - -- **Event Loop**: Drogon uses an event loop to wait for and dispatch events or messages within a program. This allows for handling many tasks asynchronously, without relying on multi-threading. -- **Threads**: While the event loop allows for efficient task management, Drogon also employs threads to handle parallel operations. These "drogon threads" process multiple tasks concurrently. -- **Asynchronous Operations**: The framework supports non-blocking operations, permitting the server to continue processing other tasks while awaiting responses from databases or external services. -- **Scalability**: Drogon's architecture is built to scale, capable of managing numerous connections at once, suitable for applications with high traffic loads. diff --git a/docs/docs/new/build-source.md b/docs/docs/new/build-source.md deleted file mode 100644 index 23290d779..000000000 --- a/docs/docs/new/build-source.md +++ /dev/null @@ -1,119 +0,0 @@ ---- -title: Build From Source -slug: /build-from-source -description: Install Nitro manually -keywords: - [ - Nitro, - Jan, - fast inference, - inference server, - local AI, - large language model, - OpenAI compatible, - open source, - llama, - ] ---- - -This guide provides step-by-step instructions for building Nitro from source on Linux, macOS, and Windows systems. - -## Clone the Repository - -First, you need to clone the Nitro repository: - -```bash -git clone --recurse https://github.com/janhq/nitro -``` - -If you don't have git, you can download the source code as a file archive from [Nitro GitHub](https://github.com/janhq/nitro). Each [release](https://github.com/caddyserver/caddy/releases) also has source snapshots. - -## Install Dependencies - -Next, let's install the necessary dependencies. - -- **On MacOS with Apple Silicon:** - - ```bash - ./install_deps.sh - ``` - -- **On Windows:** - - ```bash - cmake -S ./nitro_deps -B ./build_deps/nitro_deps - cmake --build ./build_deps/nitro_deps --config Release - ``` - -This creates a `build_deps` folder. - -## Generate build file - -Now, let's generate the build files. - -- **On MacOS, Linux, and Windows:** - - ```bash - mkdir build && cd build - cmake .. - ``` - -- **On MacOS with Intel processors:** - - ```bash - mkdir build && cd build - cmake -DLLAMA_METAL=OFF .. - ``` - -- **On Linux with CUDA:** - - ```bash - mkdir build && cd build - cmake -DLLAMA_CUDA=ON .. - ``` - -## Build the Application - -Time to build Nitro! - -- **On MacOS:** - - ```bash - make -j $(sysctl -n hw.physicalcpu) - ``` - -- **On Linux:** - - ```bash - make -j $(nproc) - ``` - -- **On Windows:** - - ```bash - make -j $(%NUMBER_OF_PROCESSORS%) - ``` - -## Start process - -Finally, let's start Nitro. - -- **On MacOS and Linux:** - - ```bash - ./nitro - ``` - -- **On Windows:** - - ```bash - cd Release - copy ..\..\build_deps\_install\bin\zlib.dll . - nitro.exe - ``` - -To verify if the build was successful: - -```bash -curl http://localhost:3928/healthz -``` diff --git a/docs/docs/new/faq.md b/docs/docs/new/faq.md deleted file mode 100644 index c4250cd91..000000000 --- a/docs/docs/new/faq.md +++ /dev/null @@ -1,34 +0,0 @@ ---- -title: FAQs -slug: /faq -description: Frequently Asked Questions about Nitro -keywords: [Nitro, Jan, fast inference, inference server, local AI, large language model, OpenAI compatible, open source, llama] ---- - -
- 1. Is Nitro the same as Llama.cpp with an API server? - -Yes, that's correct. However, Nitro isn't limited to just Llama.cpp; it will soon integrate multiple other models like Whisper, Bark, and Stable Diffusion, all in a single binary. This eliminates the need for you to develop a separate API server on top of AI models. Nitro is a comprehensive solution, designed for ease of use and efficiency. - -
- -
- 2. Is Nitro simply Llama-cpp-python? - -Indeed, Nitro isn't bound to Python, which allows you to leverage high-performance software that fully utilizes your system's capabilities. With Nitro, learning how to deploy a Python web server or use FastAPI isn't necessary. The Nitro web server is already fully optimized. - -
- -
- 3. Why should I switch to Nitro over Ollama? - -While Ollama does provide similar functionalities, its design serves a different purpose. Ollama has a larger size (around 200MB) compared to Nitro's 3MB distribution. Nitro's compact size allows for easy embedding into subprocesses, ensuring minimal concerns about package size for your application. This makes Nitro a more suitable choice for applications where efficiency and minimal resource usage are key. - -
- -
- 4. Why is the model named "chat-gpt-3.5"? - -Many applications implement the OpenAI ChatGPT API, and we want Nitro to be versatile for any AI client. While you can use any model name, we've ensured that if you're already using the chatgpt API, switching to Nitro is seamless. Just replace api.openai.com with localhost:3928 in your client settings (like Chatbox, Sillytavern, Oobaboga, etc.), and it will work smoothly with Nitro. - -
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zBldM~eE^N7O9JV&`7i5TmCcQK#2S?J3gki!_~2hRk_6IgCk#{ZS6%t#Y!j!;Iyle_ zUH(oa=wo013N3O8ZV$JFE#~W2N#2$TZPnUll!r2EgTIAlNuXmzvIk&(dimp_r6dm7*yx|5WpZ-Z|Ry|>X) za3h=~+;8v)*6DJV0LNR;_8ybGEeH?ZLrne#XGMFU^zH)|7& diff --git a/docs/docs/new/install.md b/docs/docs/new/install.md deleted file mode 100644 index 01a5c2f0f..000000000 --- a/docs/docs/new/install.md +++ /dev/null @@ -1,190 +0,0 @@ ---- -title: Installation -slug: /install -description: How to install Nitro -keywords: [Nitro, Jan, fast inference, inference server, local AI, large language model, OpenAI compatible, open source, llama] ---- - -# Notices - -Nitro is an extremely simple program compiled into a single binary, you are encouraged to go directly to the releases page of Nitro and just download a binary and use. The below installation process is just for the purpose of being a "helper" script that does not guarantee working. - -You can find releases page of nitro at at [Release](https://github.com/janhq/nitro/releases). - -# Nitro Installation Guide - -This guide provides instructions for installing Nitro using the provided [install.sh](https://github.com/janhq/nitro/blob/main/install.sh) and [install.bat](https://github.com/janhq/nitro/blob/main/install.bat) scripts for Linux, macOS, and Windows systems. - -## Features - -The installation script offers the following features: - -1. **Root Privilege Check**: Ensures the script is run with root privileges to avoid permission issues. -2. **Dependency Check**: Checks for and advises on the installation of `jq` and `unzip`. -3. **Automated Nitro Installation**: Downloads and installs the appropriate Nitro version based on the user's OS and architecture. -4. **Uninstall Script Creation**: Generates an uninstall script for easy removal of Nitro if needed. -5. **Enhanced User Experience**: Offers clear and colored output messages during the installation process. - -## Prerequisites - -- **Linux and macOS**: `jq`, `curl` and `sudo` are required. If `sudo` is not available, the user must have passwordless sudo privileges. If `jq` or `curl` are not available, the script will attempt to suggest installation commands for these packages. -- **Windows**: `PowerShell` are required. - -- **GPU Version**: GPU is supported on Linux and Windows only. [nvidia-cuda-toolkits-12.x](https://developer.nvidia.com/cuda-toolkit) is required on both Linux and Windows. - -## Installation Instructions - -### Linux and macOS - -- **Latest version (CPU is default):** - - ```bash - curl -sfL https://raw.githubusercontent.com/janhq/nitro/main/install.sh | sudo /bin/bash - - ``` - -- **Specific Version Installation:** - ```bash - curl -sfL https://raw.githubusercontent.com/janhq/nitro/main/install.sh -o /tmp/install.sh && chmod +x /tmp/install.sh && sudo bash /tmp/install.sh --version 0.1.7 && rm /tmp/install.sh - ``` - -- **GPU Version Installation:** - ```bash - curl -sfL https://raw.githubusercontent.com/janhq/nitro/main/install.sh -o /tmp/install.sh && chmod +x /tmp/install.sh && sudo bash /tmp/install.sh --gpu && rm /tmp/install.sh - ``` - -- **GPU Version Installation Specific Version:** - ```bash - curl -sfL https://raw.githubusercontent.com/janhq/nitro/main/install.sh -o /tmp/install.sh && chmod +x /tmp/install.sh && sudo bash /tmp/install.sh --gpu --version 0.1.7 && rm /tmp/install.sh - ``` - -- **Manual Installation by downloaing the script loacally and run with different arguments:** - - ```bash - # Download the script - curl -sfL https://raw.githubusercontent.com/janhq/nitro/main/install.sh -o ./install.sh - - # Make the script executable - chmod +x ./install.sh - - # Arguments supported - # --version: Specify the version to install for example "--version 0.1.7", default is latest, list version of nitro can be found in https://github.com/janhq/nitro/releases - # --gpu: Install the GPU version of nitro, default is CPU version - - # Run one of the following commands - - # Download and install the latest version of nitro - sudo ./install.sh - - # Download and install the specific version of nitro - sudo ./install.sh --version 0.1.7 - - # Download and install the GPU version of nitro - sudo ./install.sh --gpu - - # Download and install the GPU version of nitro with specific version - sudo ./install.sh --gpu --version 0.1.7 - ``` -### Windows -- **Latest version (CPU is default)** - ```bash - powershell -Command "& { Invoke-WebRequest -Uri 'https://raw.githubusercontent.com/janhq/nitro/main/install.bat' -OutFile 'install.bat'; .\install.bat; Remove-Item -Path 'install.bat' }" - ``` - -- **Specific Version Installation:** - ```bash - powershell -Command "& { Invoke-WebRequest -Uri 'https://raw.githubusercontent.com/janhq/nitro/main/install.bat' -OutFile 'install.bat'; .\install.bat --version 0.1.7; Remove-Item -Path 'install.bat' }" - ``` - -- **GPU Version Installation:** - ```bash - powershell -Command "& { Invoke-WebRequest -Uri 'https://raw.githubusercontent.com/janhq/nitro/main/install.bat' -OutFile 'install.bat'; .\install.bat --gpu; Remove-Item -Path 'install.bat' }" - ``` - -- **GPU Version Installation Specific Version:** - ```bash - powershell -Command "& { Invoke-WebRequest -Uri 'https://raw.githubusercontent.com/janhq/nitro/main/install.bat' -OutFile 'install.bat'; .\install.bat --gpu --version 0.1.7; Remove-Item -Path 'install.bat' }" - ``` -- **Manual Installation by downloaing the script loacally and run with different arguments** - - ```bash - # Download the script - Invoke-WebRequest -Uri 'https://raw.githubusercontent.com/janhq/nitro/main/install.bat' -OutFile 'install.bat' - - # Arguments supported - # --version: Specify the version to install for example "--version 0.1.7", default is latest, list version of nitro can be found in https://github.com/janhq/nitro/releases - # --gpu: Install the GPU version of nitro, default is CPU version - # Run one of the following commands - # Download and install the latest version of nitro - .\install.bat - - # Download and install the specific version of nitro - .\install.bat --version 0.1.7 - - # Download and install the GPU version of nitro - .\install.bat --gpu - - # Download and install the GPU version of nitro with specific version - .\install.bat --gpu --version 0.1.7 - ``` -## Usage -After installation, launch Nitro by typing `nitro` (or `nitro.exe` on Windows) in a new terminal or PowerShell window. This will start the Nitro server. - -Simple testcase with nitro, after starting the server, you can run the following command to test the server in a new terminal or powershell session: - -- **On Linux and MacOS:** - ```bash title="Linux and Macos" - # Download tiny model - DOWNLOAD_URL=https://huggingface.co/TheBloke/TinyLlama-1.1B-Chat-v0.3-GGUF/resolve/main/tinyllama-1.1b-chat-v0.3.Q2_K.gguf - # Check if /tmp/testmodel exists, if not, download it - if [[ ! -f "/tmp/testmodel" ]]; then - wget $DOWNLOAD_URL -O /tmp/testmodel - fi - # Load the model to nitro - curl -s --location 'http://localhost:3928/inferences/llamacpp/loadModel' \ - --header 'Content-Type: application/json' \ - --data '{ - "llama_model_path": "/tmp/testmodel", - "ctx_len": 2048, - "ngl": 32, - "embedding": false - }' - # Send a prompt request to nitro - curl -s --location 'http://localhost:3928/v1/chat/completions' \ - --header 'Content-Type: application/json' \ - --data '{ - "messages": [ - {"content": "Hello there", "role": "assistant"}, - {"content": "Write a long and sad story for me", "role": "user"} - ], - "stream": true, - "max_tokens": 100, - "stop": ["hello"], - "frequency_penalty": 0, - "presence_penalty": 0, - "temperature": 0.7 - }' - ``` - -- **On Windows:** - ```bash title="Windows" - # Download tiny model - set "MODEL_PATH=%TEMP%\testmodel" - if not exist "%MODEL_PATH%" ( - bitsadmin.exe /transfer "DownloadTestModel" %DOWNLOAD_URL% "%MODEL_PATH%" - ) - - # Load the model to nitro - call set "MODEL_PATH_STRING=%%MODEL_PATH:\=\\%%" - set "curl_data1={\"llama_model_path\":\"%MODEL_PATH_STRING%\"}" - curl.exe -s -w "%%{http_code}" --location "http://localhost:3928/inferences/llamacpp/loadModel" --header "Content-Type: application/json" --data "%curl_data1%" - - # Send a prompt request to nitro - set "curl_data2={\"messages\":[{\"content\":\"Hello there\",\"role\":\"assistant\"},{\"content\":\"Write a long and sad story for me\",\"role\":\"user\"}],\"stream\":true,\"model\":\"gpt-3.5-turbo\",\"max_tokens\":100,\"stop\":[\"hello\"],\"frequency_penalty\":0,\"presence_penalty\":0,\"temperature\":0.7}" - curl.exe -s -w "%%{http_code}" --location "http://localhost:3928/v1/chat/completions" ^ - --header "Content-Type: application/json" ^ - --data "%curl_data2%" - ``` - -## Uninstallation -- **Linux and macOS**: Run `sudo uninstall_nitro.sh` from anywhere (the script is added to PATH). -- **Windows**: Open PowerShell and run `uninstallnitro.bat` from anywhere (the script is added to PATH). diff --git a/docs/docs/new/model-cycle.md b/docs/docs/new/model-cycle.md deleted file mode 100644 index d06ff8dd0..000000000 --- a/docs/docs/new/model-cycle.md +++ /dev/null @@ -1,18 +0,0 @@ ---- -title: Model Life Cycle -slug: /model-cycle -keywords: [Nitro, Jan, fast inference, inference server, local AI, large language model, OpenAI compatible, open source, llama] ---- - -## Load model - -### Warm up model - -## Inference - -## Unload model - -## Load model - -## Shut down server - diff --git a/docs/docs/new/quickstart.md b/docs/docs/new/quickstart.md deleted file mode 100644 index ce7db7c67..000000000 --- a/docs/docs/new/quickstart.md +++ /dev/null @@ -1,74 +0,0 @@ ---- -title: Quickstart -slug: /quickstart -description: How to use Nitro -keywords: [Nitro, Jan, fast inference, inference server, local AI, large language model, OpenAI compatible, open source, llama] ---- - -## Step 1: Install Nitro - -Download and install Nitro on your system. - -### From the release page - -You can directly choose the pre-built binary that compatible with your system at - -> [Nitro Release Page](https://github.com/janhq/nitro/releases) - -After you have downloaded the binary, you can directly use the binary with "./nitro". - -If you want to build from source rather than using the pre-built binary, you can also check: [Build from Source](build-source.md) - -## Step 2: Downloading a Model - -For this example, we'll use the [Llama2 7B chat model](https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGUF/tree/main). - -```bash -mkdir model && cd model -wget -O llama-2-7b-model.gguf https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGUF/resolve/main/llama-2-7b-chat.Q5_K_M.gguf?download=true -``` - -## Step 3: Run Nitro server - -```bash title="Run Nitro server" -nitro -``` - -To check if the Nitro server is running: - -```bash title="Nitro Health Status" -curl http://localhost:3928/healthz -``` - -## Step 4: Load model - -To load the model to Nitro server, run: - -```bash title="Load model" -curl http://localhost:3928/inferences/llamacpp/loadmodel \ - -H 'Content-Type: application/json' \ - -d '{ - "llama_model_path": "/model/llama-2-7b-model.gguf", - "ctx_len": 512, - "ngl": 100, - }' -``` - -## Step 5: Making an Inference - -Finally, let's chat with the model using Nitro. - -```bash title="Nitro Inference" -curl http://localhost:3928/v1/chat/completions \ - -H "Content-Type: application/json" \ - -d '{ - "messages": [ - { - "role": "user", - "content": "Who won the world series in 2020?" - }, - ] - }' -``` - -As you can see, a key benefit of Nitro is its alignment with [OpenAI's API structure](https://platform.openai.com/docs/guides/text-generation?lang=curl). Its inference call syntax closely mirrors that of OpenAI's API, facilitating an easier shift for those accustomed to OpenAI's framework. diff --git a/docs/docusaurus.config.js b/docs/docusaurus.config.js deleted file mode 100644 index 314d48cee..000000000 --- a/docs/docusaurus.config.js +++ /dev/null @@ -1,245 +0,0 @@ -// @ts-check -// Note: type annotations allow type checking and IDEs autocompletion - -require("dotenv").config(); - -const codeTheme = require("prism-react-renderer/themes/dracula"); - -/** @type {import('@docusaurus/types').Config} */ -const config = { - title: "Nitro", - tagline: "Fast inference engine", - favicon: "img/favicon.ico", - - // Set the production url of your site here - url: "https://nitro.jan.ai", - // Set the // pathname under which your site is served - // For GitHub pages deployment, it is often '//' - baseUrl: "/", - - // GitHub pages deployment config. - // If you aren't using GitHub pages, you don't need these. - organizationName: "janhq", // Usually your GitHub org/user name. - projectName: "nitro", // Usually your repo name. - - onBrokenLinks: "warn", - onBrokenMarkdownLinks: "warn", - - // Even if you don't use internalization, you can use this field to set useful - // metadata like html lang. For example, if your site is Chinese, you may want - // to replace "en" with "zh-Hans". - i18n: { - defaultLocale: "en", - locales: ["en"], - }, - - markdown: { - mermaid: true, - }, - // Plugins we added - plugins: [ - "docusaurus-plugin-sass", - async function myPlugin(context, options) { - return { - name: "docusaurus-tailwindcss", - configurePostCss(postcssOptions) { - // Appends TailwindCSS and AutoPrefixer. - postcssOptions.plugins.push(require("tailwindcss")); - postcssOptions.plugins.push(require("autoprefixer")); - return postcssOptions; - }, - }; - }, - [ - "posthog-docusaurus", - { - apiKey: process.env.POSTHOG_PROJECT_API_KEY || "XXX", - appUrl: process.env.POSTHOG_APP_URL || "XXX", // optional - enableInDevelopment: false, // optional - }, - ], - ], - - // The classic preset will relay each option entry to the respective sub plugin/theme. - presets: [ - [ - "classic", - /** @type {import('@docusaurus/preset-classic').Options} */ - ({ - // Will be passed to @docusaurus/plugin-content-docs (false to disable) - docs: { - routeBasePath: "/", - sidebarPath: "./sidebars.js", - editUrl: "https://github.com/janhq/nitro/tree/main/docs", - showLastUpdateAuthor: true, - showLastUpdateTime: true, - }, - // Will be passed to @docusaurus/plugin-content-sitemap (false to disable) - sitemap: { - changefreq: "daily", - priority: 1.0, - ignorePatterns: ["/tags/**"], - filename: "sitemap.xml", - }, - // Will be passed to @docusaurus/plugin-content-blog (false to disable) - blog: { - blogSidebarTitle: "All Posts", - blogSidebarCount: "ALL", - }, - // Will be passed to @docusaurus/theme-classic. - theme: { - customCss: "./src/styles/main.scss", - }, - googleTagManager: { - containerId: process.env.GTM_ID || "XXX", - }, - // Will be passed to @docusaurus/plugin-content-pages (false to disable) - // pages: {}, - }), - ], - // Redoc preset - [ - "redocusaurus", - { - specs: [ - { - spec: "openapi/NitroAPI.yaml", // can be local file, url, or parsed json object - // spec: "openapi/OpenAIAPI.yaml", - route: "/api-reference/", - }, - ], - theme: { - primaryColor: "#1a73e8", - primaryColorDark: "#1a73e8", - // redocOptions: { hideDownloadButton: false }, - }, - }, - ], - ], - - // Docs: https://docusaurus.io/docs/api/themes/configuration - themeConfig: - /** @type {import('@docusaurus/preset-classic').ThemeConfig} */ - ({ - image: "img/nitro-social-card.png", - // Only for react live - liveCodeBlock: { - playgroundPosition: "bottom", - }, - metadata: [ - { - name: "description", - content: - "Nitro is a high-efficiency Large Language Model inference engine for edge computing.", - }, - { - name: "keywords", - content: - "Nitro, Jan, fast inference, inference server, local AI, large language model, OpenAI compatible, open source, llama", - }, - - // Canonical URL - { name: "canonical", content: "https://nitro.jan.ai/" }, - - // Robots tags - { name: "robots", content: "index, follow" }, - - // Open Graph tags - { property: "og:title", content: "Fast inference engine | Nitro" }, - { - property: "og:description", - content: - "Nitro is a high-efficiency Large Language Model inference engine for edge computing.", - }, - { property: "og:type", content: "website" }, - - // Twitter card tags - { property: "twitter:card", content: "summary_large_image" }, - { property: "twitter:site", content: "@janhq_" }, - { property: "twitter:title", content: "Fast inference engine | Nitro" }, - { - property: "twitter:description", - content: - "Nitro is a high-efficiency Large Language Model inference engine for edge computing.", - }, - ], - headTags: [ - // Declare a preconnect tag - { - tagName: "link", - attributes: { - rel: "preconnect", - href: "https://nitro.jan.ai/", - }, - }, - // Declare some json-ld structured data - { - tagName: "script", - attributes: { - type: "application/ld+json", - }, - innerHTML: JSON.stringify({ - "@context": "https://schema.org/", - "@type": "LLMInference", - name: "Nitro", - description: - "Nitro is a high-efficiency Large Language Model inference engine for edge computing.", - keywords: - "Nitro, OpenAI compatible, fast inference, local AI, llm, small AI, free, open source, production ready", - applicationCategory: "BusinessApplication", - operatingSystem: "Multiple", - url: "https://nitro.jan.ai/", - }), - }, - ], - navbar: { - title: "Nitro", - logo: { - alt: "Nitro Logo", - src: "img/logos/nitro.svg", - }, - items: [ - // Navbar left - { - type: "docSidebar", - sidebarId: "docsSidebar", - position: "left", - label: "Documentation", - }, - { - type: "docSidebar", - sidebarId: "apiSidebar", - position: "left", - label: "API Reference", - }, - // { - // type: "docSidebar", - // sidebarId: "communitySidebar", - // position: "left", - // label: "Community", - // }, - // Navbar right - // { - // type: "docSidebar", - // sidebarId: "blogSidebar", - // position: "right", - // label: "Blog", - // }, - ], - }, - prism: { - theme: codeTheme, - darkTheme: codeTheme, - additionalLanguages: ["python", "powershell", "bash"], - }, - colorMode: { - defaultMode: "dark", - disableSwitch: false, - respectPrefersColorScheme: false, - }, - }), - // Only for react live - themes: ["@docusaurus/theme-live-codeblock", "@docusaurus/theme-mermaid"], -}; - -module.exports = config; diff --git a/docs/openapi/NitroAPI.yaml b/docs/openapi/NitroAPI.yaml deleted file mode 100644 index a8aaeb422..000000000 --- a/docs/openapi/NitroAPI.yaml +++ /dev/null @@ -1,662 +0,0 @@ -openapi: 3.0.0 -info: - title: Nitro API - description: Please see https://nitro.jan.ai/ for documentation. -version: "0.1.19" -contact: - name: Nitro Discord - url: https://github.com/janhq/nitro -license: - name: AGPLv3 - url: https://github.com/janhq/nitro/blob/main/LICENSE -servers: - - url: https://localhost:3928/ -tags: - - name: Chat Completion - description: Given a list of messages comprising a conversation, the model will return a response. - - name: Embeddings - description: Get a vector representation of a given input. - - name: Health Check - description: Check current status of the Nitro server. - - name: Load Model - description: Load model to Nitro Inference Server. - - name: Unload Model - description: Unload model out of Nitro Inference Server. - - name: Status - description: Check current status of the model. -x-tagGroups: - - name: OpenAI Compatible - tags: - - Chat Completion - - Embeddings - - name: Nitro Operations - tags: - - Health Check - - Load Model - - Unload Model - - Status -paths: - # Note: When adding an endpoint, make sure you also add it in the `groups` section, in the end of this file, - # under the appropriate group - /healthz: - get: - operationId: heathCheck - tags: - - Health Check - summary: Check the status of Nitro Server. - # requestBody: - # content: - # application/json: - # schema: - # $ref: "#/components/schemas/HealthcheckRequest" - x-codeSamples: - - lang: "curl" - source: | - curl http://localhost:3928/healthz - responses: - "200": - description: Nitro health check - content: - application/json: - schema: - $ref: "#/components/schemas/HealthcheckResponse" - - /inferences/llamacpp/loadmodel: - post: - operationId: loadmodel - tags: - - Load Model - summary: Load model to Nitro Inference Server. - requestBody: - content: - application/json: - schema: - $ref: "#/components/schemas/LoadModelRequest" - x-codeSamples: - - lang: "curl" - source: | - curl http://localhost:3928/inferences/llamacpp/loadmodel \ - -H 'Content-Type: application/json' \ - -d '{ - "llama_model_path": "/path/to/your_model.gguf", - "ctx_len": 512, - }' - responses: - "200": - description: Model loaded - content: - application/json: - schema: - $ref: "#/components/schemas/LoadModelResponse" - - /inferences/llamacpp/unloadmodel: - get: - operationId: unloadmodel - tags: - - Unload Model - summary: Unload model from Nitro Inference Server. - # requestBody: - # content: - # application/json: - # schema: - # $ref: "#/components/schemas/UnloadModelRequest" - x-codeSamples: - - lang: "curl" - source: | - curl http://localhost:3928/inferences/llamacpp/unloadmodel - responses: - "200": - description: Model unloaded - content: - application/json: - schema: - $ref: "#/components/schemas/UnloadModelResponse" - - /inferences/llamacpp/modelstatus: - get: - operationId: modelstatus - tags: - - Status - summary: Check status of the model on Nitro server - content: - application/json: - schema: - $ref: "#/components/schemas/StatusRequest" - x-codeSamples: - - lang: "curl" - source: | - curl http://localhost:3928/inferences/llamacpp/modelstatus - responses: - "200": - description: Check status - content: - application/json: - schema: - $ref: "#/components/schemas/StatusResponse" - - /v1/embeddings: - post: - operationId: createEmbedding - tags: - - Embeddings - summary: Creates an embedding vector representing the input text. - requestBody: - content: - application/json: - schema: - $ref: "#/components/schemas/CreateEmbeddingRequest" - x-codeSamples: - - lang: "curl" - source: | - curl http://localhost:3928/inferences/llamacpp/embedding \ - -H 'Content-Type: application/json' \ - -d '{ - "input": "hello", - "encoding_format": "float" - }' - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/CreateEmbeddingResponse" - - /v1/chat/completions: - post: - operationId: createChatCompletion - tags: - - Chat Completion - summary: Create a chat with the model. - requestBody: - content: - application/json: - schema: - $ref: "#/components/schemas/ChatCompletionRequest" - x-codeSamples: - - lang: "curl" - source: | - curl -X POST 'http://localhost:3928/inferences/llamacpp/chat_completion' \ - -H "Content-Type: application/json" \ - -d '{ - "llama_model_path": "/path/to/your/model.gguf", - "messages": [ - { - "role": "user", - "content": "hello" - }, - ] - }' - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/ChatCompletionResponse" - -####################################################### -####################################################### -components: - schemas: - LoadModelRequest: - type: object - properties: - llama_model_path: - type: string - required: true - description: Path to your local LLM - example: "nitro/model/zephyr-7b-beta.Q5_K_M.gguf" - ngl: - type: number - default: 100 - minimum: 0 - maximum: 100 - nullable: true - description: The number of layers to load onto the GPU for acceleration. - ctx_len: - type: number - default: 2048 - nullable: true - description: The context length for model operations varies; the maximum depends on the specific model used. - embedding: - default: true - type: boolean - nullable: true - description: Whether to enable embedding. - cont_batching: - type: boolean - default: false - nullable: true - description: Whether to use continuous batching. - n_parallel: - type: integer - default: 1 - example: 1 - nullable: true - description: The number of parallel operations. Only set when enable continuous batching. - cpu_threads: - type: integer - example: 4 - nullable: true - description: The number of threads for CPU-based inference. - pre_prompt: - type: string - default: A chat between a curious user and an artificial intelligence assistant. The assistant follows the given rules no matter what. - nullable: true - description: The prompt to use for internal configuration. - system_prompt: - type: string - default: "ASSISTANT's RULE:" - nullable: true - description: The prefix for system prompt - user_prompt: - type: string - default: "USER:" - nullable: true - description: The prefix for user prompt. - ai_prompt: - type: string - default: "ASSISTANT:" - nullable: true - description: The prefix for assistant prompt. - clean_cache_threshold: - type: integer - default: 5 - nullable: true - description: Number of chats that will trigger clean cache action. - required: - - llama_model_path - - LoadModelResponse: - type: object - properties: - message: - example: Model loaded successfully - description: A status indicator for when the model is successfully loaded. - anyOf: - - type: string - title: Success - description: The output will be "Model loaded successfully" - - type: string - title: Failed - description: The output will be "No model loaded" - code: - example: Model loaded successfully - description: A response code for Localization Support. - anyOf: - - type: string - title: Success - description: The output will be "Model loaded successfully" - - type: string - title: Failed - description: The output will be "No model loaded" - - HealthcheckRequest: - type: object - - HealthcheckResponse: - type: object - properties: - message: - example: Nitro is alive!!! - description: A status indicator for when the model is successfully loaded. - anyOf: - - type: string - title: Success - description: The output will be "Nitro is alive!!!" - - type: string - title: Failed - description: "curl: (7) Failed to connect to localhost port 3928 after 0 ms: Connection refused" - - UnloadModelRequest: - type: object - properties: - message: - example: TODO - description: TODO - - UnloadModelResponse: - type: object - properties: - message: - example: Model unloaded successfully - description: A status for successful model unloading. - anyOf: - - type: string - title: Success - description: The output will be "Model unloaded successfully" - - type: string - title: Failed - description: The output will be "No model loaded" - - StatusRequest: - type: object - properties: - message: - example: Model unloaded successfully - description: A status for successful model unloading. - - StatusResponse: - type: object - description: State of the loaded model - properties: - model_data: - type: object - description: Configuration data of the model - properties: - model_loaded: - type: boolean - example: true - nullable: true - description: A status for loading model to Nitro server. - frequency_penalty: - type: number - description: Adjusts likelihood of repeating words in the output, with a higher value discouraging repetition. - default: 0 - nullable: true - max: 2 - min: 0 - grammar: - type: string - default: "" - nullable: true - description: Specifies grammar constraints to be applied, with an empty string implying no constraints. - ignore_eos: - type: boolean - default: false - nullable: true - description: Determines if the model should consider end-of-sequence tokens, with false indicating they are considered. - logit_bias: - type: arrays - default: [] - description: An array for applying biases to certain tokens' logits to affect their selection probability. - mirostat: - type: number - default: 0 - nullable: true - description: Enables or disables the Mirostat algorithm for controlling output diversity. - mirostat_eta: - type: number - default: 0.1 - nullable: true - description: Parameter related to output diversity. - mirostat_tau: - type: number - default: 5.0 - nullable: true - description: Controls the temperature for the mirostat. - model: - type: string - example: "nitro/model/zephyr-7b-beta.Q5_K_M.gguf" - nullable: true - description: This is automatically set to the model you've loaded on the Nitro server. - n_ctx: - type: number - default: 42 - nullable: true - description: Number of tokens in the model's context window. - n_keep: - type: number - default: 0 - nullable: true - description: Number of tokens to keep from the beginning of the input. - n_predict: - type: number - default: 100 - nullable: true - description: Number of tokens the model should predict, with -1 indicating no specific limit. - n_probs: - type: number - default: 0 - nullable: true - description: Controls the number of probabilities returned by the model. - penalize_nl: - type: boolean - default: true - nullable: true - description: Penalizes new lines in the output to make them less likely. - presence_penalty: - type: number - default: 0 - nullable: true - description: Adjusts likelihood of introducing new concepts in the output. - repeat_last_n: - type: number - default: 64 - nullable: true - description: Number of tokens to check for repetition. - repeat_penalty: - type: number - default: 1.1 - nullable: true - description: Penalizes repetitions of phrases in the last `repeat_last_n` tokens. - seed: - type: number - default: 4294967295 - nullable: true - description: Random seed for ensuring reproducibility. - stop: - type: arrays - default: ["hello", "USER: "] - nullable: true - description: A list of tokens that signal the model to stop generating further output. - stream: - type: boolean - default: true - nullable: true - description: Determines if output generation is in a streaming manner. - temp: - type: number - default: 0.7 - min: 0 - max: 1 - nullable: true - description: Controls randomness of the output. - tfs_z: - type: number - default: 1.0 - nullable: true - description: A parameter likely related to internal model processing. - top_k: - type: number - default: 40 - nullable: true - description: Limits the number of highest probability tokens considered at each generation step. - top_p: - type: number - default: 0.95 - min: 0 - max: 1 - nullable: true - description: Chooses from the top tokens cumulatively making up a specified probability. - typical_p: - type: number - default: 1.0 - nullable: true - description: Controls output diversity, typically used alongside `top_p`. - - CreateEmbeddingRequest: - type: object - additionalProperties: false - properties: - input: - description: Input text to embed, encoded as a string or array of tokens. To embed multiple inputs in a single request, pass an array of strings or array of token arrays. - example: "hello" - encoding_format: - description: Encoding format - example: float - - CreateEmbeddingResponse: - type: object - description: Response containing embeddings and related information - properties: - data: - type: array - description: Array of embedding objects - items: - type: object - properties: - embedding: - type: array - description: Array representing the embedding vector - items: - type: arrays - example: - [ - 0.067819312214851379, - 0.17273959517478943, - -0.31053683161735535, - ..., - 0.36176943778991699, - ] - index: - type: integer - description: Index of the embedding in the array - example: 0 - object: - type: string - description: Type of the object - example: embedding - model: - type: string - description: Model identifier - example: "_" - object: - type: string - description: Type of the overall response object - example: list - usage: - type: object - description: Information about token usage in the request - properties: - prompt_tokens: - type: integer - description: Number of tokens used in the prompt - example: 33 - total_tokens: - type: integer - description: Total number of tokens involved in the operation - example: 533 - - ChatCompletionRequest: - type: object - properties: - messages: - type: arrays - description: Contains input data or prompts for the model to process - example: - [ - { "content": "Hello there :wave:", "role": "assistant" }, - { "content": "Can you write a long story", "role": "user" }, - ] - stream: - type: boolean - default: true - description: Enables continuous output generation, allowing for streaming of model responses - model: - type: string - example: "gpt-3.5-turbo" - description: Specifies the model being used for inference or processing tasks - max_tokens: - type: number - default: 2048 - description: The maximum number of tokens the model will generate in a single response - stop: - type: arrays - example: ["hello"] - description: Defines specific tokens or phrases at which the model will stop generating further output - frequency_penalty: - type: number - min: 0 - max: 2 - default: 0 - description: Adjusts the likelihood of the model repeating words or phrases in its output - presence_penalty: - type: number - default: 0 - min: 0 - max: 2 - description: Influences the generation of new and varied concepts in the model's output - temperature: - type: number - default: 0.7 - min: 0 - max: 1 - description: Controls the randomness of the model's output - top_p: - type: number - default: 0.95 - min: 0 - max: 1 - description: Set probability threshold for more relevant outputs - ChatCompletionResponse: - type: object - description: Description of the response structure - properties: - choices: - type: array - description: Array of choice objects - items: - type: object - properties: - finish_reason: - type: string - nullable: true - example: null - description: Reason for finishing the response, if applicable - index: - type: integer - example: 0 - description: Index of the choice - message: - type: object - properties: - content: - type: string - example: "Hello user. What can I help you with?" - description: Content of the message - role: - type: string - example: assistant - description: Role of the sender - created: - type: integer - example: 1700193928 - description: Timestamp of when the response was created - id: - type: string - example: ebwd2niJvJB1Q2Whyvkz - description: Unique identifier of the response - model: - type: string - nullable: true - example: _ - description: Model used for generating the response - object: - type: string - example: chat.completion - description: Type of the response object - system_fingerprint: - type: string - nullable: true - example: _ - description: System fingerprint - usage: - type: object - description: Information about the usage of tokens - properties: - completion_tokens: - type: integer - example: 500 - description: Number of tokens used for completion - prompt_tokens: - type: integer - example: 33 - description: Number of tokens used in the prompt - total_tokens: - type: integer - example: 533 - description: Total number of tokens used -################################### -################################# diff --git a/docs/package.json b/docs/package.json deleted file mode 100644 index c0bfa3a60..000000000 --- a/docs/package.json +++ /dev/null @@ -1,66 +0,0 @@ -{ - "name": "docs", - "version": "0.0.0", - "private": true, - "scripts": { - "docusaurus": "docusaurus", - "start": "docusaurus start --port 3000", - "build": "docusaurus build", - "swizzle": "docusaurus swizzle", - "deploy": "docusaurus deploy", - "clear": "docusaurus clear", - "serve": "docusaurus serve", - "write-translations": "docusaurus write-translations", - "write-heading-ids": "docusaurus write-heading-ids" - }, - "dependencies": { - "@docusaurus/core": "^3.0.0", - "@docusaurus/plugin-content-docs": "3.0.0", - "@docusaurus/preset-classic": "^3.0.0", - "@docusaurus/theme-common": "^3.0.0", - "@docusaurus/theme-live-codeblock": "^3.0.0", - "@docusaurus/theme-mermaid": "^3.0.0", - "@docusaurus/utils": "^3.0.0", - "@headlessui/react": "^1.7.17", - "@heroicons/react": "^2.0.18", - "@mdx-js/react": "^3.0.0", - "@redocly/cli": "^1.4.1", - "autoprefixer": "^10.4.16", - "axios": "^1.5.1", - "clsx": "^2.0.0", - "docusaurus-plugin-redoc": "^2.0.0", - "docusaurus-plugin-sass": "^0.2.5", - "docusaurus-theme-redoc": "^2.0.0", - "postcss": "^8.4.30", - "posthog-docusaurus": "^2.0.0", - "prism-react-renderer": "^1.3.5", - "react": "^18.2.0", - "react-dom": "^18.2.0", - "react-icons": "^4.11.0", - "react-syntax-highlighter": "^15.5.0", - "redocusaurus": "^2.0.0", - "sass": "^1.69.3", - "tailwind-merge": "^2.0.0", - "tailwindcss": "^3.3.3" - }, - "devDependencies": { - "@docusaurus/module-type-aliases": "3.0.0", - "dotenv": "^16.3.1", - "tailwindcss-animate": "^1.0.7" - }, - "browserslist": { - "production": [ - ">0.5%", - "not dead", - "not op_mini all" - ], - "development": [ - "last 1 chrome version", - "last 1 firefox version", - "last 1 safari version" - ] - }, - "engines": { - "node": ">=16.14" - } -} diff --git a/docs/sidebars.js b/docs/sidebars.js deleted file mode 100644 index e5931ee3d..000000000 --- a/docs/sidebars.js +++ /dev/null @@ -1,107 +0,0 @@ -/** - * Creating a sidebar enables you to: - - create an ordered group of docs - - render a sidebar for each doc of that group - - provide next/previous navigation - - The sidebars are explicitly defined here. - - Create as many sidebars as you want. - */ - -// @ts-check - -/** @type {import('@docusaurus/plugin-content-docs').SidebarsConfig} */ -const sidebars = { - // blogSidebar: [ - // "guides/overview" - // ], - - docsSidebar: [ - { - type: "category", - label: "Introduction", - collapsible: false, - collapsed: false, - items: [ - { type: "doc", id: "new/about", label: "About Nitro" }, - { type: "doc", id: "new/quickstart", label: "Quickstart" }, - { type: "doc", id: "new/install", label: "Installation" }, - "new/build-source", - ], - }, - { - type: "category", - label: "Features", - collapsible: false, - collapsed: false, - link: { type: "doc", id: "features/feat" }, - items: [ - "features/chat", - "features/embed", - "features/vision" - ], - }, - { - type: "category", - label: "Advanced Features", - link: { type: "doc", id: "features/feat" }, - items: [ - "features/multi-thread", - "features/cont-batch", - "features/load-unload", - "features/warmup", - "features/prompt", - "features/log", - "features/self-extend", - "features/grammar", - ], - }, - { - type: "category", - label: "Integrations", - collapsible: false, - collapsed: false, - items: [ - "examples/jan", - // "examples/chatbox", - "examples/palchat", - "examples/openai-node", - "examples/openai-python", - "examples/colab", - "examples/chatboxgpt", - "examples/autogen" - ], - }, - // { - // type: "category", - // label: "Specification", - // collapsible: false, - // collapsed: false, - // items: [{ type: "doc", id: "new/architecture", label: "Architecture" }], - // }, - // { - // type: "category", - // label: "Demos", - // collapsible: true, - // collapsed: true, - // items: [ - // "demos/chatbox-vid", - // ], - // }, - "new/faq", - ], - - apiSidebar: [ - "api-reference" - ], - - // communitySidebar: [ - // "community/support", - // "community/contribuiting", - // "community/coc", - // "community/changelog" - // ] -}; - -module.exports = sidebars; diff --git a/docs/src/containers/Banner/index.js b/docs/src/containers/Banner/index.js deleted file mode 100644 index 9ff19c834..000000000 --- a/docs/src/containers/Banner/index.js +++ /dev/null @@ -1,78 +0,0 @@ -import React from "react"; - -import { useAppStars } from "@site/src/hooks/useAppStars"; -import { useAppRelease } from "@site/src/hooks/useAppRelease"; - -import { AiOutlineGithub, AiOutlineTwitter } from "react-icons/ai"; -import { BiLogoDiscordAlt } from "react-icons/bi"; - -const socials = [ - { - icon: , - href: "https://twitter.com/janhq_", - }, - { - icon: , - href: "https://discord.com/invite/FTk2MvZwJH", - }, - { - icon: , - href: "https://github.com/janhq/nitro", - }, -]; - -export default function Banner() { - const { stargazers } = useAppStars(); - const { release } = useAppRelease(); - - return ( - - ); -} diff --git a/docs/src/containers/DownloadButton/index.js b/docs/src/containers/DownloadButton/index.js deleted file mode 100644 index b506ab372..000000000 --- a/docs/src/containers/DownloadButton/index.js +++ /dev/null @@ -1,162 +0,0 @@ -import React, { useState, useEffect } from "react"; -import { Fragment } from "react"; -import { Menu, Transition } from "@headlessui/react"; -import { ChevronDownIcon } from "@heroicons/react/20/solid"; -import axios from "axios"; - -const systemsTemplate = [ - { - name: "Download for Mac", - logo: require("@site/static/img/logos/apple-logo-white.png").default, - fileFormat: "{appname}-mac-arm64.tar.gz", - }, - { - name: "Download for Windows", - logo: require("@site/static/img/logos/windows-logo-white.png").default, - fileFormat: "{appname}-win-amd64.tar.gz", - }, - { - name: "Download for Linux", - logo: require("@site/static/img/logos/linux-logo-white.png").default, - fileFormat: "{appname}-linux-amd64.tar.gz", - }, -]; - -function classNames(...classes) { - return classes.filter(Boolean).join(" "); -} - -export default function DownloadButton() { - const [systems, setSystems] = useState(systemsTemplate); - const [defaultSystem, setDefaultSystem] = useState(systems[0]); - - const getLatestReleaseInfo = async (repoOwner, repoName) => { - const url = `https://api.github.com/repos/${repoOwner}/${repoName}/releases/latest`; - try { - const response = await axios.get(url); - return response.data; - } catch (error) { - console.error(error); - return null; - } - }; - - const extractAppName = (fileName) => { - // Extract appname using a regex that matches the provided file formats - const regex = /^(.*?)-(?:mac|win|linux)-(?:arm64|x64|amd64)-.*$/; - const match = fileName.match(regex); - return match ? match[1] : null; - }; - - const changeDefaultSystem = (systems) => { - const userAgent = typeof window !== "undefined" && navigator.userAgent; - if (userAgent.includes("Windows")) { - // windows user - setDefaultSystem(systems[1]); - } else if (userAgent.includes("Linux")) { - // linux user - setDefaultSystem(systems[2]); - } else if (userAgent.includes("Mac OS")) { - setDefaultSystem(systems[0]); - } else { - setDefaultSystem(systems[0]); - } - }; - useEffect(() => { - const updateDownloadLinks = async () => { - try { - const releaseInfo = await getLatestReleaseInfo("janhq", "nitro"); - - // Extract appname from the first asset name - const firstAssetName = releaseInfo.assets[0].name; - const appname = extractAppName(firstAssetName); - - if (!appname) { - console.error( - "Failed to extract appname from file name:", - firstAssetName - ); - changeDefaultSystem(systems); - return; - } - - // Remove 'v' at the start of the tag_name - const tag = releaseInfo.tag_name.startsWith("v") - ? releaseInfo.tag_name.substring(1) - : releaseInfo.tag_name; - - const updatedSystems = systems.map((system) => { - const downloadUrl = system.fileFormat - .replace("{appname}", appname) - .replace("{tag}", tag); - return { - ...system, - href: `https://github.com/janhq/nitro/releases/download/${releaseInfo.tag_name}/${downloadUrl}`, - }; - }); - - setSystems(updatedSystems); - changeDefaultSystem(updatedSystems); - } catch (error) { - console.error("Failed to update download links:", error); - } - }; - - updateDownloadLinks(); - }, []); - - return ( -
- - Logo - {defaultSystem.name} - - - - Open OS options - - - -
- {systems.map((system) => ( - setDefaultSystem(system)} - > - {({ active }) => ( - - Logo - {system.name} - - )} - - ))} -
- - - -
- ); -} diff --git a/docs/src/containers/Footer/index.js b/docs/src/containers/Footer/index.js deleted file mode 100644 index e565c60ef..000000000 --- a/docs/src/containers/Footer/index.js +++ /dev/null @@ -1,106 +0,0 @@ -import React from "react"; - -const menus = [ - { - name: "For Developers", - child: [ - { - menu: "Documentation", - path: "/docs", - }, - { - menu: "API Reference", - path: "/api-reference", - }, - { - menu: "Changelog", - path: "https://github.com/janhq/nitro/releases", - external: true, - }, - ], - }, - { - name: "Community", - child: [ - { - menu: "Github", - path: "https://github.com/janhq/nitro", - external: true, - }, - { - menu: "Discord", - path: "https://discord.gg/FTk2MvZwJH", - external: true, - }, - { - menu: "Twitter", - path: "https://twitter.com/janhq_", - external: true, - }, - ], - }, - { - name: "Company", - child: [ - { - menu: "Careers", - path: "https://janai.bamboohr.com/careers", - external: true, - }, - ], - }, -]; - -const getCurrentYear = new Date().getFullYear(); - -export default function Footer() { - return ( -
- Element Lines -
-
-
-
Nitro
-
-

- A fast, lightweight (3mb) inference server to supercharge apps - with local AI. -

-
-
- {menus.map((menu, i) => { - return ( -
-
{menu.name}
- -
- ); - })} -
-
-
- - ©{getCurrentYear} Jan AI Pte Ltd. - -
-
- ); -} diff --git a/docs/src/containers/GithubButton/index.js b/docs/src/containers/GithubButton/index.js deleted file mode 100644 index 642b0b148..000000000 --- a/docs/src/containers/GithubButton/index.js +++ /dev/null @@ -1,16 +0,0 @@ -import React from "react"; -import { FaGithub } from "react-icons/fa"; - -export default function GithubButtob() { - return ( - - - - - View on Github - - ); -} diff --git a/docs/src/containers/Homepage/Architecture/index.js b/docs/src/containers/Homepage/Architecture/index.js deleted file mode 100644 index 1f9e4dff4..000000000 --- a/docs/src/containers/Homepage/Architecture/index.js +++ /dev/null @@ -1,103 +0,0 @@ -import React from "react"; - -export default function Architecture() { - return ( -
-
-

Nitro's Architecture

-

- Nitro is 100% open source and licensed under the AGPLv3 license. We - build upon the shoulders of giants at llama.cpp and Drogon. -

-
-
- Element Stars -
-
-
OpenAI-compatible API
-
- -
-
Nitro
-
-
-

Authentication

-

- Coming Soon -

-
-
-

Batching

-
-
-

Multi-threading

-
-
-

Model Management

-
-
-
- -
-
Model Engines
-
-
-
LLMs
-
-
- Logo llamacpp -

Llama.cpp

-
-
- Logo nvdia -

TensorRT-LLM

-

- Coming Soon -

-
-
-
-
-
Speech
-
- Logo whispercpp -

Whisper.cpp

-
-
-
-
Vision
-
- Logo stable-diffusion -

StableDiffusion

-

- Coming Soon -

-
-
-
-
-
-
-
- ); -} diff --git a/docs/src/containers/Homepage/BuiltWithNitro/index.js b/docs/src/containers/Homepage/BuiltWithNitro/index.js deleted file mode 100644 index d83e0e7a7..000000000 --- a/docs/src/containers/Homepage/BuiltWithNitro/index.js +++ /dev/null @@ -1,42 +0,0 @@ -import React from "react"; - -export default function BuiltWithNitro() { - return ( -
-
-

Build with Nitro

-

- Start running local AI models in your app within 10 seconds. Available - as an npm, pip package, or binary. -

- - Developer Docs - -
- -
-
-
- Element Web App -

Web App

-
-
- Element Desktop App -

Desktop App

-
-
-
-
- ); -} diff --git a/docs/src/containers/Homepage/GetNitro/index.js b/docs/src/containers/Homepage/GetNitro/index.js deleted file mode 100644 index a36932710..000000000 --- a/docs/src/containers/Homepage/GetNitro/index.js +++ /dev/null @@ -1,73 +0,0 @@ -import React, { useState } from "react"; - -import { Prism as SyntaxHighlighter } from "react-syntax-highlighter"; -import theme from "react-syntax-highlighter/dist/esm/styles/prism/darcula"; - -import { twMerge } from "tailwind-merge"; - -import { useClipboard } from "@site/src/hooks/useClipboard"; - -export default function GetNitro() { - const userAgent = typeof window !== "undefined" && navigator.userAgent; - - const codeStringShell = - typeof window !== "undefined" && userAgent?.includes("Windows") - ? `powershell -Command "& { Invoke-WebRequest -Uri 'https://raw.githubusercontent.com/janhq/nitro/main/install.bat' -OutFile 'install.bat'; .\install.bat; Remove-Item -Path 'install.bat' }"` - : `curl -sfL https://raw.githubusercontent.com/janhq/nitro/main/install.sh | sudo /bin/bash -`; - - const codeStringNpm = `npm install @janhq/nitro`; - const codeStringPython = `#(Coming Soon)\npip install @janhq/nitro`; - - const [packageInstall, setPackageInstall] = useState("Shell script"); - const clipboard = useClipboard({ timeout: 500 }); - - const options = ["Shell script", "NPM", "Python"]; - - const renderSyntax = (option) => { - switch (option) { - case "NPM": - return codeStringNpm; - - case "Python": - return codeStringPython; - - default: - return codeStringShell; - } - }; - - return ( -
-
-
    - {options.map((option, i) => { - return ( -
  • setPackageInstall(option)} - > - {option} -
    • - ); - })} -
-
- - {renderSyntax(packageInstall)} - - - {packageInstall === "Shell script" && ( -
clipboard.copy(renderSyntax(packageInstall))} - > - {clipboard.copied ? "Copied" : "Copy"} -
- )} -
- ); -} diff --git a/docs/src/containers/Homepage/MultiModal/index.js b/docs/src/containers/Homepage/MultiModal/index.js deleted file mode 100644 index 5f8e07557..000000000 --- a/docs/src/containers/Homepage/MultiModal/index.js +++ /dev/null @@ -1,59 +0,0 @@ -import React from "react"; - -export default function MultiModal() { - return ( -
-
-

Multi-modal

-

- Nitro integrates best-of-class open source AI libraries -

-
- -
-
- Icon Think -
Think
-

Llama2, Mistral, CausalML,...

-
-
- Icon Imagine -
Imagine
-

- Coming Soon -

-
-
- Icon Vision -
Vision
-

- Coming Soon -

-
-
- Icon Speech -
Speech
-

- Coming Soon -

-
-
-
- ); -} diff --git a/docs/src/containers/Homepage/OpenAI/index.js b/docs/src/containers/Homepage/OpenAI/index.js deleted file mode 100644 index 78f69ccad..000000000 --- a/docs/src/containers/Homepage/OpenAI/index.js +++ /dev/null @@ -1,141 +0,0 @@ -import React from "react"; - -import { Prism as SyntaxHighlighter } from "react-syntax-highlighter"; -import theme from "react-syntax-highlighter/dist/esm/styles/prism/dracula"; -import useBaseUrl from "@docusaurus/useBaseUrl"; - -import { useClipboard } from "@site/src/hooks/useClipboard"; - -import ThemedImage from "@theme/ThemedImage"; - -export default function OpenAI() { - const clipboard = useClipboard({ timeout: 200 }); - - const codeStringNitro = `curl http://localhost:3928/v1/chat/completions - -H "Content-Type: application/json" - -d '{ - "model": "gpt-3.5-turbo", - "messages": [ - { - "role": "system", - "content": "You are a helpful assistant." - }, - { - "role": "user", - "content": "Who won the world series in 2020?" - }, - ] - }'`; - - const codeStringOpenAI = `curl https://api.openai.com/v1/chat/completions - -H "Content-Type: application/json" - -H "Authorization: Bearer $OPENAI_API_KEY" - -d '{ - "model": "gpt-3.5-turbo", - "messages": [ - { - "role": "system", - "content": "You are a helpful assistant." - }, - { - "role": "user", - "content": "Who won the world series in 2020?" - }, - ] - }'`; - - return ( -
-
-

OpenAI-Compatible

-

- Nitro is a drop-in replacement for OpenAI's REST API  -

-
-
-
-
- Element Lines - Nitro -
-
-
-

- POST -

-

- http://localhost:3928/v1/chat/completions -

-
-
- clipboard.copy( - "http://localhost:3928/v1/chat/completions" - ) - } - > - {clipboard.copied ? "Copied" : "Copy"} -
-
-
- - {codeStringNitro} - -
clipboard.copy(codeStringNitro)} - > - {clipboard.copied ? "Copied" : "Copy"} -
-
-
- -
-
- -
-
-
-

- POST -

-

- https://api.openai.com/v1/chat/completions -

-
-
- clipboard.copy("https://api.openai.com/v1/chat/completions") - } - > - {clipboard.copied ? "Copied" : "Copy"} -
-
-
- - {codeStringOpenAI} - -
clipboard.copy(codeStringOpenAI)} - > - {clipboard.copied ? "Copied" : "Copy"} -
-
-
-
-
- ); -} diff --git a/docs/src/containers/Homepage/Platform/index.js b/docs/src/containers/Homepage/Platform/index.js deleted file mode 100644 index 000bdd9ef..000000000 --- a/docs/src/containers/Homepage/Platform/index.js +++ /dev/null @@ -1,46 +0,0 @@ -import React from "react"; - -export default function Platform() { - return ( -
-
-
-

Cross-Platform

-

- Nitro runs on cross-platform on CPU and GPU architectures -

-
- Element Platforms -
-
- -
-
-
GPUs
-
- Element GPUS -
-
-
-
CPUs
-
- Element CPUS -
-
-
-
-
- ); -} diff --git a/docs/src/containers/Homepage/Statistic/index.js b/docs/src/containers/Homepage/Statistic/index.js deleted file mode 100644 index 4c99d8f02..000000000 --- a/docs/src/containers/Homepage/Statistic/index.js +++ /dev/null @@ -1,110 +0,0 @@ -import React, { useState } from "react"; - -import { twMerge } from "tailwind-merge"; - -const tabs = ["lightweight", "fast"]; - -export default function Statistic() { - const [activeTab, setActiveTab] = useState("lightweight"); - - const lightweightTabActive = activeTab === "lightweight"; - - return ( -
-
-
- {/* Temporary disabled */} - {/*
-
    - {tabs.map((option, i) => { - return ( -
  • setActiveTab(option)} - > - {option} -
    • - ); - })} -
-
*/} - -

Lightweight

-
-

- {lightweightTabActive - ? "Nitro is an extremely lightweight library built for app developers to run local AI" - : "Nitro is built using Drogon, a blazing-fast C++ server and natively implements batch inference, multi-threading and more"} -

-
- {lightweightTabActive ? ( -
-
-
- Nitro -
-
- 3mb -
-
-
-
- Local AI -
-
- 193mb -
-
-
-
Ollama
-
- 332mb -
-
-
- ) : ( -
-
-
- Nitro -
-
- 24 -
- - token/s - -
-
-
- Llama.cpp (base) -
-
- 24 -
- - token/s - -
-
-
- Text-inference -
-
- 24 -
- - token/s - -
-
- )} -
-
-
- ); -} diff --git a/docs/src/hooks/useAppRelease.js b/docs/src/hooks/useAppRelease.js deleted file mode 100644 index 0ce13d26f..000000000 --- a/docs/src/hooks/useAppRelease.js +++ /dev/null @@ -1,31 +0,0 @@ -import React, { useEffect, useState } from "react"; - -import axios from "axios"; - -import { isAxiosError } from "axios"; - -export const useAppRelease = () => { - const [release, setRelease] = useState({ - tagVersion: "", - }); - - useEffect(() => { - const updateStargazers = async () => { - try { - const { data } = await axios.get( - "https://api.github.com/repos/janhq/nitro/releases/latest" - ); - setRelease({ - tagVersion: data.tag_name, - }); - } catch (error) { - if (isAxiosError(error)) { - console.error("Failed to get stargazers:", error); - } - } - }; - updateStargazers(); - }, []); - - return { release }; -}; diff --git a/docs/src/hooks/useAppStars.js b/docs/src/hooks/useAppStars.js deleted file mode 100644 index d4d374bc8..000000000 --- a/docs/src/hooks/useAppStars.js +++ /dev/null @@ -1,30 +0,0 @@ -import React, { useEffect, useState } from "react"; - -import axios from "axios"; -import { isAxiosError } from "axios"; - -export const useAppStars = () => { - const [stargazers, setStargazers] = useState({ - count: 0, - }); - - useEffect(() => { - const updateStargazers = async () => { - try { - const { data } = await axios.get( - "https://api.github.com/repos/janhq/nitro" - ); - setStargazers({ - count: data.stargazers_count, - }); - } catch (error) { - if (isAxiosError(error)) { - console.error("Failed to get stargazers:", error); - } - } - }; - updateStargazers(); - }, []); - - return { stargazers }; -}; diff --git a/docs/src/hooks/useClipboard.js b/docs/src/hooks/useClipboard.js deleted file mode 100644 index 01f877e75..000000000 --- a/docs/src/hooks/useClipboard.js +++ /dev/null @@ -1,32 +0,0 @@ -import { useState } from "react"; - -export function useClipboard({ timeout = 2000 } = {}) { - const [error, setError] = useState(null); - const [copied, setCopied] = useState(false); - const [copyTimeout, setCopyTimeout] = useState(null); - - const handleCopyResult = (value) => { - window.clearTimeout(copyTimeout); - setCopyTimeout(window.setTimeout(() => setCopied(false), timeout)); - setCopied(value); - }; - - const copy = (valueToCopy) => { - if ("clipboard" in navigator) { - navigator.clipboard - .writeText(valueToCopy) - .then(() => handleCopyResult(true)) - .catch((err) => setError(err)); - } else { - setError(new Error("useClipboard: navigator.clipboard is not supported")); - } - }; - - const reset = () => { - setCopied(false); - setError(null); - window.clearTimeout(copyTimeout); - }; - - return { copy, reset, error, copied }; -} diff --git a/docs/src/js/custom_toc.js b/docs/src/js/custom_toc.js deleted file mode 100644 index 7cda4e86a..000000000 --- a/docs/src/js/custom_toc.js +++ /dev/null @@ -1,9 +0,0 @@ -document.addEventListener('DOMContentLoaded', function () { - const toc = document.querySelector('.table-of-contents'); - if (toc) { - const title = document.createElement('div'); - title.className = 'custom-toc-title'; - title.innerText = 'On this page'; - toc.insertBefore(title, toc.firstChild); - } -}); \ No newline at end of file diff --git a/docs/src/pages/index.js b/docs/src/pages/index.js deleted file mode 100644 index d97d70650..000000000 --- a/docs/src/pages/index.js +++ /dev/null @@ -1,80 +0,0 @@ -import React, { Fragment } from "react"; - -import useDocusaurusContext from "@docusaurus/useDocusaurusContext"; - -import Layout from "@theme/Layout"; - -import GithubButtob from "@site/src/containers/GithubButton"; - -import Statistic from "@site/src/containers/Homepage/Statistic"; -import OpenAI from "@site/src/containers/Homepage/OpenAI"; -import Platform from "@site/src/containers/Homepage/Platform"; -import MultiModal from "@site/src/containers/Homepage/MultiModal"; -import BuiltWithNitro from "@site/src/containers/Homepage/BuiltWithNitro"; -import Architecture from "@site/src/containers/Homepage/Architecture"; -import Banner from "@site/src/containers/Banner"; - -export default function Home() { - const { siteConfig } = useDocusaurusContext(); - return ( - - - - Element Hero Ellipse - Element Lines -
-
-
-

- Embeddable AI -

-

- A fast, lightweight  - - 3mb - -  inference server to supercharge apps with local AI. -

- -
- -
-
-
- -
- -
- -
- -
- -
- -
- -
- -
- -
- -
- -
- -
-
- - - ); -} diff --git a/docs/src/styles/components/base.scss b/docs/src/styles/components/base.scss deleted file mode 100644 index c27793115..000000000 --- a/docs/src/styles/components/base.scss +++ /dev/null @@ -1,87 +0,0 @@ -@layer base { - html[data-theme="light"] { - --custom-radial-blur: #e1e7fd; - --ifm-background-color: #fafafa; - --ifm-color-primary: #2563eb; /* New Primary Blue */ - --ifm-color-primary-dark: #204fcf; /* Darker Blue */ - --ifm-color-primary-darker: #1b45b7; /* Even Darker Blue */ - --ifm-color-primary-darkest: #163c9d; /* Darkest Blue */ - --ifm-color-primary-light: #2974ff; /* Light Blue */ - --ifm-color-primary-lighter: #3280ff; /* Lighter Blue */ - --ifm-color-primary-lightest: #3a8bff; /* Lightest Blue */ - --ifm-code-font-size: 95%; - --ifm-navbar-link-hover-color: inherit; - --docusaurus-highlighted-code-line-bg: rgba(0, 0, 0, 0.1); - } - - html[data-theme="dark"] { - --custom-radial-blur: #1d1b48; - --ifm-background-color: #18181b; - --ifm-color-primary: #ffffff; /* New Primary Blue */ - --ifm-color-primary-dark: #204fcf; /* Darker Blue */ - --ifm-color-primary-darker: #1b45b7; /* Even Darker Blue */ - --ifm-color-primary-darkest: #163c9d; /* Darkest Blue */ - --ifm-color-primary-light: #2974ff; /* Light Blue */ - --ifm-color-primary-lighter: #3280ff; /* Lighter Blue */ - --ifm-color-primary-lightest: #3a8bff; /* Lightest Blue */ - --docusaurus-highlighted-code-line-bg: rgba(0, 0, 0, 0.3); - } - - pre, - code { - @apply text-sm; - } - - body { - @apply text-base; - @apply antialiased; - @apply bg-[#FAFAFA] dark:bg-[#18181B]; - } - - img { - pointer-events: none; - } - - a { - &:hover { - color: inherit; - text-decoration: none; - } - } -} - -@layer components { - .radial-blur-lg { - background: radial-gradient( - 500px 500px at 50% 100%, - var(--custom-radial-blur), - transparent - ); - } - .radial-blur-sm { - background: radial-gradient( - 300px 300px at 20% 100%, - var(--custom-radial-blur), - transparent - ); - } - .arrow-architecture { - position: relative; - &::before { - position: absolute; - content: ""; - height: 34px; - width: 1px; - top: -34px; - @apply bg-gray-300 dark:bg-gray-800; - } - } -} - -.code-snippet-left { - @apply w-full lg:w-1/2 float-left; -} - -.code-snippet-right { - @apply w-full lg:w-1/2 float-right; -} diff --git a/docs/src/styles/components/typography.scss b/docs/src/styles/components/typography.scss deleted file mode 100644 index 1a8fc6f66..000000000 --- a/docs/src/styles/components/typography.scss +++ /dev/null @@ -1,42 +0,0 @@ -h1, -.h1 { - line-height: 48px; - font-size: 40px; - @apply font-bold; -} -h2, -.h2 { - font-size: 32px; - @apply font-bold; - line-height: 40px; -} -h3, -.h3 { - font-size: 28px; - @apply font-bold; - line-height: 40px; -} -h4, -.h4 { - font-size: 24px; - @apply font-bold; - line-height: 32px; -} -h5, -.h5 { - font-size: 20px; - @apply font-bold; - line-height: 28px; -} -h6, -.h6 { - font-size: 16px; - @apply font-bold; - line-height: 24px; -} -p { - line-height: 24px; -} -.paragraph { - line-height: 24px; -} diff --git a/docs/src/styles/main.scss b/docs/src/styles/main.scss deleted file mode 100644 index 1fae7804a..000000000 --- a/docs/src/styles/main.scss +++ /dev/null @@ -1,13 +0,0 @@ -@import "tailwindcss/base"; -@import "tailwindcss/components"; -@import "tailwindcss/utilities"; - -@import "./tweaks/navbar.scss"; -@import "./tweaks/sidebar.scss"; -@import "./tweaks/code-block.scss"; -@import "./tweaks/breadcrumb.scss"; -@import "./tweaks/markdown.scss"; -@import "./tweaks/redocusaurus.scss"; - -@import "./components/base.scss"; -@import "./components/typography.scss"; diff --git a/docs/src/styles/tweaks/breadcrumb.scss b/docs/src/styles/tweaks/breadcrumb.scss deleted file mode 100644 index 9091f8386..000000000 --- a/docs/src/styles/tweaks/breadcrumb.scss +++ /dev/null @@ -1,18 +0,0 @@ -.breadcrumbs { - @apply mb-8; - - &__item { - position: relative; - &:first-child { - .breadcrumbs__link { - vertical-align: middle; - margin-top: -2px; - } - } - } - - &__link { - padding-top: 2px; - padding-bottom: 2px; - } -} diff --git a/docs/src/styles/tweaks/code-block.scss b/docs/src/styles/tweaks/code-block.scss deleted file mode 100644 index 787df0b4d..000000000 --- a/docs/src/styles/tweaks/code-block.scss +++ /dev/null @@ -1,7 +0,0 @@ -// * Classname from Docusaurus template -// * We just overide the styling with applied class from tailwind - -.theme-code-block { - font-size: 14px; - margin-top: 14px; -} diff --git a/docs/src/styles/tweaks/markdown.scss b/docs/src/styles/tweaks/markdown.scss deleted file mode 100644 index 69d80c5b7..000000000 --- a/docs/src/styles/tweaks/markdown.scss +++ /dev/null @@ -1,39 +0,0 @@ -.theme-doc-markdown { - a { - @apply text-blue-600 dark:text-blue-400 underline; - } - ul { - list-style: revert; - } - ol { - list-style: decimal; - } - ul, - ol { - padding-left: 16px; - li { - @apply leading-normal; - p { - margin-bottom: 0; - } - } - } - p { - @apply mb-2; - } - h1 { - &:first-child { - @apply mb-4; - } - } - - h1, - h2 { - @apply mb-3; - } - - table { - width: 100%; - display: table; - } -} diff --git a/docs/src/styles/tweaks/navbar.scss b/docs/src/styles/tweaks/navbar.scss deleted file mode 100644 index 197d25a3b..000000000 --- a/docs/src/styles/tweaks/navbar.scss +++ /dev/null @@ -1,37 +0,0 @@ -// * Classname from Docusaurus template -// * We just overide the styling with applied class from tailwind - -.navbar { - @apply my-4 bg-transparent py-0 shadow-none top-4; - &:before { - width: 100%; - height: 16px; - top: -16px; - position: absolute; - content: ""; - left: 0; - @apply dark:bg-[#09090B]/10 backdrop-blur-md; - } - - &__inner { - @apply border border-gray-300 dark:border-gray-800 rounded-lg bg-[#E4E4E7]/50 dark:bg-[#09090B]/50 backdrop-blur-md flex items-center h-14 px-8 relative; - } - - &__logo { - @apply flex items-center; - } - - &__brand { - &:hover { - @apply dark:text-white text-black; - } - } - - &__title { - font-size: 18px; - } - - [class*="searchBox_"] { - display: none; - } -} diff --git a/docs/src/styles/tweaks/redocusaurus.scss b/docs/src/styles/tweaks/redocusaurus.scss deleted file mode 100644 index b2cff9ba7..000000000 --- a/docs/src/styles/tweaks/redocusaurus.scss +++ /dev/null @@ -1,23 +0,0 @@ -.redocusaurus { - .menu-content { - top: 80px !important; - background-color: transparent; - } - - .scrollbar-container { - ul > li > label { - margin-bottom: 4px; - background-color: transparent; - } - - ul > li > ul > li > label { - background-color: transparent; - &:hover { - @apply dark:bg-gray-800/50 bg-gray-100; - } - &.active { - @apply dark:bg-gray-800/50 bg-gray-100; - } - } - } -} diff --git a/docs/src/styles/tweaks/sidebar.scss b/docs/src/styles/tweaks/sidebar.scss deleted file mode 100644 index aae55c085..000000000 --- a/docs/src/styles/tweaks/sidebar.scss +++ /dev/null @@ -1,37 +0,0 @@ -// * Classname from Docusaurus template -// * We just overide the styling with applied class from tailwind - -[class*="docSidebarContainer_"] { - margin-top: 0 !important; - @apply dark:border-gray-800 border-gray-300; -} - -[class*="sidebar_"] { - padding-top: 0 !important; -} - -[class*="sidebarViewport_"] { - top: 80px !important; - height: unset !important; -} - -[class*="docItemCol_"] { - @apply lg:px-8; -} - -// * Including custom sidebar table of content -.table-of-contents { - @apply text-base py-0 dark:border-gray-800 border-gray-300; -} - -.menu__caret:before { - background: var(--ifm-menu-link-sublist-icon) 50% / 1.5rem 1.5rem; -} - -[class*="codeBlockContainer_"] { - margin: 4px; -} - -[class*="codeBlockTitle_"] { - border-bottom: 1px solid #52525a !important; -} diff --git a/docs/src/theme/Layout/Provider/index.js b/docs/src/theme/Layout/Provider/index.js deleted file mode 100644 index 1940672e2..000000000 --- a/docs/src/theme/Layout/Provider/index.js +++ /dev/null @@ -1,21 +0,0 @@ -import React from "react"; -import { composeProviders } from "@docusaurus/theme-common"; -import { - ColorModeProvider, - AnnouncementBarProvider, - DocsPreferredVersionContextProvider, - ScrollControllerProvider, - NavbarProvider, - PluginHtmlClassNameProvider, -} from "@docusaurus/theme-common/internal"; -const Provider = composeProviders([ - ColorModeProvider, - AnnouncementBarProvider, - ScrollControllerProvider, - DocsPreferredVersionContextProvider, - PluginHtmlClassNameProvider, - NavbarProvider, -]); -export default function LayoutProvider({ children }) { - return {children}; -} diff --git a/docs/src/theme/Layout/index.js b/docs/src/theme/Layout/index.js deleted file mode 100644 index 6e6f0d11a..000000000 --- a/docs/src/theme/Layout/index.js +++ /dev/null @@ -1,54 +0,0 @@ -import React from "react"; -import clsx from "clsx"; -import ErrorBoundary from "@docusaurus/ErrorBoundary"; -import { - PageMetadata, - SkipToContentFallbackId, - ThemeClassNames, -} from "@docusaurus/theme-common"; -import { useKeyboardNavigation } from "@docusaurus/theme-common/internal"; -import SkipToContent from "@theme/SkipToContent"; -import AnnouncementBar from "@theme/AnnouncementBar"; -import Navbar from "@theme/Navbar"; -import Footer from "@site/src/containers/Footer"; -import LayoutProvider from "@theme/Layout/Provider"; -import ErrorPageContent from "@theme/ErrorPageContent"; -import styles from "./styles.module.scss"; -export default function Layout(props) { - const { - children, - noFooter, - wrapperClassName, - // Not really layout-related, but kept for convenience/retro-compatibility - title, - description, - } = props; - useKeyboardNavigation(); - return ( - - - - - - - - - -
- }> - {children} - -
- - {!noFooter &&