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β οΈ Cortex is currently in Development: Expect breaking changes and bugs!
Cortex is an OpenAI-compatible AI engine that developers can use to build LLM apps. It is packaged with a Docker-inspired command-line interface and client libraries. It can be used as a standalone server or imported as a library.
Cortex supports the following engines:
cortex.llamacpp
:cortex.llamacpp
library is a C++ inference tool that can be dynamically loaded by any server at runtime. We use this engine to support GGUF inference with GGUF models. Thellama.cpp
is optimized for performance on both CPU and GPU.cortex.onnx
Repository:cortex.onnx
is a C++ inference library for Windows that leveragesonnxruntime-genai
and uses DirectML to provide GPU acceleration across a wide range of hardware and drivers, including AMD, Intel, NVIDIA, and Qualcomm GPUs.cortex.tensorrt-llm
:cortex.tensorrt-llm
is a C++ inference library designed for NVIDIA GPUs. It incorporates NVIDIAβs TensorRT-LLM for GPU-accelerated inference.
- OS:
- MacOSX 13.6 or higher.
- Windows 10 or higher.
- Ubuntu 22.04 and later.
- Dependencies:
- Node.js: Version 18 and above is required to run the installation.
- NPM: Needed to manage packages.
- CPU Instruction Sets: Available for download from the Cortex GitHub Releases page.
- OpenMPI: Required for Linux. Install by using the following command:
sudo apt install openmpi-bin libopenmpi-dev
Visit Quickstart to get started.
# Install using NPM
npm i -g cortexso
# Run model
cortex run mistral
# To uninstall globally using NPM
npm uninstall -g cortexso
# Install using Brew
brew install cortexso
# Run model
cortex run mistral
# To uninstall using Brew
brew uninstall cortexso
You can also install Cortex using the Cortex Installer available on GitHub Releases.
cortex serve
# Output
# Started server at http://localhost:1337
# Swagger UI available at http://localhost:1337/api
You can now access the Cortex API server at http://localhost:1337
,
and the Swagger UI at http://localhost:1337/api
.
To install Cortex from the source, follow the steps below:
- Clone the Cortex repository here.
- Navigate to the
cortex-js
folder. - Open the terminal and run the following command to build the Cortex project:
npx nest build
- Make the
command.js
executable:
chmod +x '[path-to]/cortex/cortex-js/dist/src/command.js'
- Link the package globally:
npm link
The following CLI commands are currently available. See CLI Reference Docs for more information.
serve Providing API endpoint for Cortex backend.
chat Send a chat request to a model.
init|setup Init settings and download cortex's dependencies.
ps Show running models and their status.
kill Kill running cortex processes.
pull|download Download a model. Working with HuggingFace model id.
run [options] EXPERIMENTAL: Shortcut to start a model and chat.
models Subcommands for managing models.
models list List all available models.
models pull Download a specified model.
models remove Delete a specified model.
models get Retrieve the configuration of a specified model.
models start Start a specified model.
models stop Stop a specified model.
models update Update the configuration of a specified model.
benchmark Benchmark and analyze the performance of a specific AI model using your system.
presets Show all the available model presets within Cortex.
telemetry Retrieve telemetry logs for monitoring and analysis.
embeddings Creates an embedding vector representing the input text.
engines Subcommands for managing engines.
engines get Get an engine details.
engines list Get all the available Cortex engines.
engines init Setup and download the required dependencies to run cortex engines.
configs Subcommands for managing configurations.
configs get Get a configuration details.
configs list Get all the available configurations.
configs set Set a configuration.
- For support, please file a GitHub ticket.
- For questions, join our Discord here.
- For long-form inquiries, please email hello@jan.ai.