Cortex

Documentation - API Reference - Changelog - Bug reports - Discord

⚠️ Cortex is currently in Development: Expect breaking changes and bugs!

About

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 currently supports 3 inference engines:

• Llama.cpp
• ONNX Runtime
• TensorRT-LLM

Quicklinks

• Homepage
• Docs

Quickstart

Prerequisites

Ensure that your system meets the following requirements to run Cortex:

• 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

• OS:
  • MacOSX 13.6 or higher.
  • Windows 10 or higher.
  • Ubuntu 22.04 and later.

Visit Quickstart to get started.

NPM

Install using NPM package:

# Install using NPM
npm i -g cortexso
# Run model
cortex run llama3
# To uninstall globally using NPM
npm uninstall -g cortexso

Homebrew

Install using Homebrew:

# Install using Brew
brew tap janhq/cortexso
brew install cortexso
# Run model
cortex run llama3
# To uninstall using Brew
brew untap janhq/cortexso
brew uninstall cortexso

You can also install Cortex using the Cortex Installer available on GitHub Releases.

To run Cortex as an API server:

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.

Build from Source

To install Cortex from the source, follow the steps below:

1. Clone the Cortex repository here.
2. Navigate to the cortex-js folder.
3. Open the terminal and run the following command to build the Cortex project:

npx nest build

4. Make the command.js executable:

chmod +x '[path-to]/cortex/cortex-js/dist/src/command.js'

5. Link the package globally:

npm link

Cortex CLI Commands

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.

Contact Support

• For support, please file a GitHub ticket.
• For questions, join our Discord here.
• For long-form inquiries, please email [email protected].