AI Cookbook
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AI Cookbook
Generate personalized recipes from your available ingredients with AI-powered recipe creation and beautiful food photography.
Transform your available ingredients into culinary masterpieces with the AI Cookbook. This intelligent recipe generator analyzes what you have on hand and creates complete, customized recipes tailored to your dietary preferences and cuisine choices.
Features at a Glance
- Smart Ingredient Matching: Input what's in your kitchen and let AI do the magic
- Beautiful AI Images: Every recipe comes with stunning, AI-generated food photography
- Dietary Flexibility: Supports gluten-free, vegan, vegetarian, and more
- Nutritional Insights: Get estimated calories, macros, and dietary information
- Shopping Assistant: Identifies missing ingredients with smart substitutions
Perfect for home cooks looking to reduce food waste, try new cuisines, or find inspiration when staring at a fridge full of random ingredients.
Workflow Visualization
Requirements
- OpenAI API key (for GPT-4o and DALL-E 3)
- SQLite (auto-configured)
Key Files
yaml
version: "1.0"
workflows:
- id: generate-recipe
path: ./habits/generate-recipe.yaml
enabled: true
- id: list-recipes
path: ./habits/list-recipes.yaml
enabled: true
- id: get-recipe
path: ./habits/get-recipe.yaml
enabled: true
server:
port: 13000
host: "0.0.0.0"
frontend: ./frontend
openapi: true
logging:
level: info
outputs: [console]
format: text
colorize: trueyaml
id: generate-recipe
name: Generate Recipe
description: Generate a recipe based on available ingredients and dietary preferences
input:
- id: ingredients
type: string
required: true
description: Comma-separated list of available ingredients
- id: restrictions
type: string
required: false
description: Dietary restrictions (vegetarian, vegan, gluten-free, etc.)
- id: cuisine
type: string
required: false
description: Preferred cuisine type
- id: mealType
type: string
required: false
description: breakfast, lunch, dinner, snack, dessert
- id: servings
type: number
required: false
description: Number of servings
nodes:
# Generate the recipe
- id: generate-recipe
type: bits
data:
framework: bits
source: npm
module: "@ha-bits/bit-intersect"
resource: ask_chatgpt
operation: ask_chatgpt
credentials:
intersect:
host: "{{habits.env.HABITS_INTERSECT_HOST}}"
apiKey: "{{habits.env.HABITS_INTERSECT_API_KEY}}"
params:
model: gpt-4o
cast: true
temperature: 0.8
maxTokens: 2000
systemMessage: |
You are a professional chef and recipe developer. Create delicious, practical recipes
that make the most of available ingredients. Always return valid JSON.
prompt: |
Create a recipe using these ingredients: {{habits.input.ingredients}}
Dietary restrictions: {{habits.input.restrictions}}
Cuisine preference: {{habits.input.cuisine}}
Meal type: {{habits.input.mealType}}
Servings: {{habits.input.servings}}
Return a JSON object with this structure:
{
"title": "Recipe name",
"description": "Brief appetizing description",
"prepTime": "15 minutes",
"cookTime": "30 minutes",
"totalTime": "45 minutes",
"servings": 4,
"difficulty": "easy/medium/hard",
"cuisine": "Italian/Mexican/etc",
"tags": ["quick", "healthy", "comfort food"],
"ingredients": [
{"item": "ingredient name", "amount": "1 cup", "notes": "optional prep notes"}
],
"instructions": [
{"step": 1, "instruction": "Step description", "tip": "optional pro tip"}
],
"tips": ["Chef's tips for best results"],
"variations": ["Alternative versions or substitutions"],
"pairings": ["What to serve with this dish"]
}
Make the recipe creative but practical. Include helpful tips.
Return ONLY the JSON object.
# Generate recipe image
- id: generate-image
type: bits
data:
framework: bits
source: npm
module: "@ha-bits/bit-intersect"
resource: generate_image
operation: generate_image
credentials:
intersect:
host: "{{habits.env.HABITS_INTERSECT_HOST}}"
apiKey: "{{habits.env.HABITS_INTERSECT_API_KEY}}"
params:
model: gpt-image-1
prompt: "Professional food photography of {{generate-recipe.title}}, plated beautifully, natural lighting, appetizing, high-end restaurant presentation"
resolution: 1024x1024
quality: medium
# Generate shopping list for missing ingredients
- id: shopping-list
type: bits
data:
framework: bits
source: npm
module: "@ha-bits/bit-intersect"
resource: ask_chatgpt
operation: ask_chatgpt
credentials:
intersect:
host: "{{habits.env.HABITS_INTERSECT_HOST}}"
apiKey: "{{habits.env.HABITS_INTERSECT_API_KEY}}"
params:
model: gpt-4o
temperature: 0.3
maxTokens: 500
prompt: |
Compare these available ingredients: {{habits.input.ingredients}}
With these required ingredients from the recipe:
{{habits.input.ingredients}}
List any ingredients the user needs to buy. Return as JSON:
{
"needed": [{"item": "ingredient", "amount": "quantity"}],
"optional": [{"item": "ingredient", "reason": "for garnish/extra flavor"}],
"substitutions": [{"missing": "item", "substitute": "alternative", "notes": "how to substitute"}]
}
Return ONLY the JSON object.
# Calculate estimated nutrition
- id: nutrition
type: bits
data:
framework: bits
source: npm
module: "@ha-bits/bit-intersect"
resource: ask_chatgpt
operation: ask_chatgpt
credentials:
intersect:
host: "{{habits.env.HABITS_INTERSECT_HOST}}"
apiKey: "{{habits.env.HABITS_INTERSECT_API_KEY}}"
params:
model: gpt-4o
temperature: 0.2
maxTokens: 400
prompt: |
Estimate the nutritional information per serving for this recipe:
{{generate-recipe}}
Return as JSON:
{
"perServing": {
"calories": 350,
"protein": "25g",
"carbs": "30g",
"fat": "15g",
"fiber": "5g",
"sodium": "500mg"
},
"healthNotes": ["High in protein", "Good source of fiber"],
"dietaryInfo": ["gluten-free", "dairy-free", etc if applicable]
}
Be reasonable with estimates. Return ONLY the JSON.
# Save recipe
- id: save-recipe
type: bits
data:
framework: bits
source: npm
module: "@ha-bits/bit-database"
resource: insert
operation: insert
params:
collection: "recipes"
document:
recipe: "{{generate-recipe}}"
image: "{{generate-image}}"
shoppingList: "{{shopping-list}}"
nutrition: "{{nutrition}}"
inputIngredients: "{{habits.input.ingredients}}"
restrictions: "{{habits.input.restrictions}}"
createdAt: "{{habits.now}}"
edges:
- source: generate-recipe
target: generate-image
- source: generate-recipe
target: shopping-list
- source: generate-recipe
target: nutrition
- source: generate-image
target: save-recipe
- source: shopping-list
target: save-recipe
- source: nutrition
target: save-recipe
output:
recipeId: "{{save-recipe.id}}"
recipe: "{{generate-recipe}}"
image: "{{generate-image}}"
shoppingList: "{{shopping-list}}"
nutrition: "{{nutrition}}"yaml
id: get-recipe
name: Get Recipe
description: Get a specific recipe by ID
input:
- id: id
type: string
required: true
nodes:
- id: fetch-recipe
type: bits
data:
framework: bits
source: npm
module: "@ha-bits/bit-database"
resource: findOne
operation: findOne
params:
collection: "recipes"
filter: '{"_id": "{{habits.input.id}}"}'
edges: []
output:
recipe: "{{fetch-recipe.document}}"
found: "{{fetch-recipe.found}}"yaml
id: list-recipes
name: List Recipes
description: Get all saved recipes
input:
- id: limit
type: number
required: false
nodes:
- id: query-recipes
type: bits
data:
framework: bits
source: npm
module: "@ha-bits/bit-database"
resource: query
operation: query
params:
collection: "recipes"
limit: "{{habits.input.limit}}"
sort: '{"createdAt": -1}'
edges: []
output:
recipes: "{{query-recipes.results}}"
count: "{{query-recipes.count}}"Quick Start
Run directly using Cortex package, recommended for production runs, does not inlcude base or extra depdencies.
# First, download the example files
npx @ha-bits/cortex@latest server --config ./ai-cookbook/stack.yaml