cooklang-import 0.7.2

A tool for importing recipes into Cooklang format
Documentation 
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# Cooklang Import Configuration File
# Copy this file to config.toml and customize for your environment

# Default AI provider to use for recipe conversion
default_provider = "openai"

# OpenAI Configuration
[providers.openai]
enabled = true
model = "gpt-4.1-mini"  # Fast and cost-effective (Oct 2025). Use "gpt-4.1-nano" for lowest latency
temperature = 0.7
max_tokens = 2000
# API key can be set here or via OPENAI_API_KEY environment variable
# api_key = "sk-..."

# Anthropic Claude Configuration
[providers.anthropic]
enabled = false
model = "claude-sonnet-4.5"  # Most capable (Sep 2025). Use "claude-haiku-4.5" for faster/cheaper (Oct 2025)
temperature = 0.7
max_tokens = 4000
# API key can be set here or via ANTHROPIC_API_KEY environment variable
# api_key = "sk-ant-..."

# Azure OpenAI Configuration
[providers.azure_openai]
enabled = false
model = "gpt-4.1-mini"  # Use your Azure deployment name
temperature = 0.7
max_tokens = 2000
# Azure-specific settings
# endpoint = "https://your-resource.openai.azure.com/"
# deployment_name = "gpt-4.1-mini"
# api_version = "2024-02-15-preview"
# API key can be set here or via AZURE_OPENAI_API_KEY environment variable
# api_key = "..."

# Google Gemini Configuration
[providers.google]
enabled = false
model = "gemini-2.5-flash"  # Latest (Sep 2025). Use "gemini-2.0-flash-lite" for better quality at 1.5 Flash speed/cost
temperature = 0.7
max_tokens = 2000
# Google-specific settings
# project_id = "your-project-id"
# API key can be set here or via GOOGLE_API_KEY environment variable
# api_key = "..."

# Ollama Configuration (Local Llama models)
[providers.ollama]
enabled = false
model = "llama3"  # or llama2, codellama, mixtral, etc.
temperature = 0.7
max_tokens = 2000
# Base URL for local Ollama instance (default: http://localhost:11434)
# base_url = "http://localhost:11434"
# No API key needed for local Ollama

# Provider Fallback Configuration
# Enables automatic fallback to alternative providers on failure
[fallback]
enabled = false
# Order of providers to try (will attempt each in sequence)
order = ["openai", "anthropic", "google", "ollama"]
# Number of retry attempts per provider before switching
retry_attempts = 3
# Initial delay between retries in milliseconds (uses exponential backoff)
retry_delay_ms = 1000