Llama-4-ScoutAI Recipe Generation
Sub-100ms cooking guidance powered by Meta AI
Chat with Llama-4-Scout
I have tomatoes, mozzarella, and basil. What can I make?
Capabilities
Recipe Generation
Creates personalized recipes based on available ingredients, dietary restrictions, and cuisine preferences.
Step-by-Step Guidance
Provides detailed cooking instructions with timing, temperatures, and technique explanations.
Contextual Awareness
Understands cooking context, adjusts instructions based on skill level, and suggests alternatives.
API Request Example
POST /api/llama/chat { "messages": [ { "role": "system", "content": "You are a helpful cooking assistant." }, { "role": "user", "content": "I have tomatoes, mozzarella, and basil", "context": { "detected_ingredients": ["tomato", "mozzarella", "basil"], "user_preferences": { "cuisine": "italian", "dietary": ["vegetarian"] } } } ], "temperature": 0.7, "max_tokens": 500, "output_format": "boundaryml_recipe_v1" // Ensures structured recipe steps }
BoundaryML Integration
Structures Llama's responses into consistent JSON with timed steps, ingredient quantities, and cooking actions.
Visual Context Integration
Llama-4-Scout receives real-time ingredient data from SAM2, enabling contextual recipe suggestions based on what's actually in your kitchen.
See SAM2 POC →Advanced Features
Multi-turn Conversations
Maintains context across multiple interactions for coherent cooking guidance
Nutrition Analysis
Provides detailed nutritional information for suggested recipes
Skill Adaptation
Adjusts complexity and detail based on user's cooking experience