chatluna: Add LLM Chat
You can plug chatLuna into various platforms for a chatbot with multiple language models.
"A founder with a food delivery platform wants to add a new feature: users can chat with a bot to find their favorite restaurants near them. They connect chatLuna to their website and database, set up intents and responses, and deploy the bot. Users can now easily find nearby restaurants by chatting with the platform."
- •You need to integrate multiple language models into a single chatbot
- •Your chatbot requires support for various output formats
- •You want to build a customizable and extensible chatbot solution
Create a chatbot that responds to user input using multiple language models: `const chatLuna = new ChatLuna({ models: ['model1', 'model2'] })`Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
A prompt/skill package — nothing to install beyond adding it to your AI tool.
mkdir -p ~/.claude/skills/chatluna && curl -fsSL https://workflowstacks.com/api/skills/chatluna/claude-skill -o ~/.claude/skills/chatluna/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
A prompt/skill package — nothing to install beyond adding it to your AI tool.
mkdir -p ~/.claude/skills/chatluna && curl -fsSL https://workflowstacks.com/api/skills/chatluna/claude-skill -o ~/.claude/skills/chatluna/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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Do this with a working workflow
Pages we wrote and tested that put a skill like this to work — importable n8n templates, outcome guides and Claude Desktop configs.
AI Support Agent (Chat)
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