Cloudflare AI

Interact with Cloudflare AI models directly in Raycast with conversation history and follow-up messages.

Features

• Query Cloudflare AI models (Llama, Mistral, Qwen, GPT-OSS, and more)
• Conversation history with persistent storage
• Follow-up questions with full context
• Pin important conversations
• Support for 19+ AI models

Setup

1. Get Cloudflare Credentials

1. Go to Cloudflare Dashboard
2. Select Use REST API.

Get your API Token:

1. Click Create a Workers AI API Token.
2. Review the prefilled information.
3. Click Create API Token.
4. Click Copy API Token and save it for future use.

Get your Account ID:

• Copy the value for Account ID and save it for future use.

2. Install Extension

npm install
npm run dev

3. Configure in Raycast

1. Open Raycast
2. Search for "Query Cloudflare AI"
3. You'll be prompted to enter:
   • Account ID: Your Cloudflare account ID
   • API Token: The token you created
   • Default Model (optional): Choose your preferred AI model

Usage

Start a New Conversation

1. Open Raycast
2. Run "Query Cloudflare AI"
3. Type your question
4. Select a model from the dropdown
5. Press Enter

Continue a Conversation

1. After receiving a response, type your follow-up question in the search bar
2. Press Enter to send
3. The AI will have full context of your previous messages

View Conversation History

1. Open Raycast
2. Run "View Conversations"
3. Click on any conversation to continue it
4. Pin important conversations to keep them at the top

Available Models

• Llama 3.3 70B, Llama 3.1 (70B, 8B), Llama 3 8B, Llama 2 7B
• Mistral 7B, Mistral Nemo 12B
• Qwen 1.5 (7B, 14B)
• GPT OSS 120B
• Gemma 7B
• Granite 8B Code Instruct
• DeepSeek Coder, DeepSeek Math
• And more...

Keyboard Shortcuts

• ⌘ C - Copy answer
• ⌘ ⇧ C - Copy question & answer
• ⌘ ⇧ P - Pin/unpin conversation
• ⌘ D - Delete conversation

Development

# Install dependencies
npm install

# Run in development mode
npm run dev

# Build extension
npm run build

# Lint code
npm run lint

# Fix linting issues
npm run fix-lint

License

MIT