crush

[!WARNING] 🚧 This is a pre-release under heavy, active development. Things are still in flux but we’re excited to share early progress.

Crush

Crush is a tool for building software with AI.

Installation

Nightly builds are available while Crush is in development.

• Packages are available in Debian and RPM formats
• Binaries are available for Linux and macOS

You can also just install it with go:

git clone [email protected]:charmbracelet/crush.git
cd crush
go install

Note that Crush doesn't support Windows yet, however Windows support is planned and in progress.

Getting Started

For now, the quickest way to get started is to set an environment variable for your preferred provider. Note that you can switch between providers mid- sessions, so you're welcome to set environment variables for multiple providers.

Environment Variable	Provider
ANTHROPIC_API_KEY	Anthropic
OPENAI_API_KEY	OpenAI
GEMINI_API_KEY	Google Gemini
VERTEXAI_PROJECT	Google Cloud VertexAI (Gemini)
VERTEXAI_LOCATION	Google Cloud VertexAI (Gemini)
GROQ_API_KEY	Groq
AWS_ACCESS_KEY_ID	AWS Bedrock (Claude)
AWS_SECRET_ACCESS_KEY	AWS Bedrock (Claude)
AWS_REGION	AWS Bedrock (Claude)
AZURE_OPENAI_ENDPOINT	Azure OpenAI models
AZURE_OPENAI_API_KEY	Azure OpenAI models (optional when using Entra ID)
AZURE_OPENAI_API_VERSION	Azure OpenAI models

Configuration

For many use cases, Crush can be run with no config. That said, if you do need config, it can be added either local to the project itself, or globally. Configuration has the following priority:

1. .crush.json
2. crush.json
3. $HOME/.config/crush/crush.json

LSPs

Crush can use LSPs for additional context to help inform its decisions, just like you would. LSPs can be added manually like so:

{
  "lsp": {
    "go": {
      "command": "gopls"
    },
    "typescript": {
      "command": "typescript-language-server",
      "args": ["--stdio"]
    },
    "nix": {
      "command": "alejandra"
    }
  }
}

OpenAI-Compatible APIs

Crush supports all OpenAI-compatible APIs. Here's an example configuration for Deepseek, which uses an OpenAI-compatible API. Don't forget to set DEEPSEEK_API_KEY in your environment.

{
  "providers": {
    "deepseek": {
      "provider_type": "openai",
      "base_url": "https://api.deepseek.com/v1",
      "models": [
        {
          "id": "deepseek-chat",
          "model": "Deepseek V3",
          "cost_per_1m_in": 0.27,
          "cost_per_1m_out": 1.1,
          "cost_per_1m_in_cached": 0.07,
          "cost_per_1m_out_cached": 1.1,
          "context_window": 64000,
          "default_max_tokens": 5000
        }
      ]
    }
  }
}

Whatcha think?

We’d love to hear your thoughts on this project. Feel free to drop us a note!

• Twitter
• The Fediverse
• Discord

License

MIT

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Part of Charm.

Charm热爱开源 • Charm loves open source