vulcan-core 1.3.0

AI-Hybrid Rules Engine for Logical Reasoning.

AI-Hybrid Rules Engine for Logical Reasoning

Vulcan is an AI-hybrid rules engine designed for advanced automated reasoning. It combines the power of rule-based decision systems with LLMs (Large Language Models) for improved consistency and explainability in AI-powered systems.

Learn more about Vulcan at https://latchfield.com/vulcan, or jump in with:

uv add vulcan-core
# or
poetry add vulcan-core
# or
pip install vulcan-core

To gain your bearings, read the documentation for guides and API reference: https://latchfield.com/vulcan/docs.

Why use Vulcan?

Vulcan strives to improve AI reliability and explainability by explicitly separating computational logic from LLM prediction through declarative rules and microprompting. Vulcan provides developers with a toolkit to create, manage, and execute rules with seamless integration with LLMs and vector databases.

Features:

• AI-Hybrid Rules - Combine deterministic logic with LLMs and vector databases
• Transparent Decision-Making - Full explainability of how decisions are made
• Developer-Friendly API - Intuitive interfaces for rule creation and management
• Platform Flexibility - Works across various environments and integrates with existing tools

Simple Example:

Turn your lengthy unpredictable prompts:

As a bakery, I want to buy 10 apples if I have less than 10 in inventory, but only if my supplier has apples used for baking in stock. Given I have 9 apples, and my supplier has "Honeycrisp", how many apples should I order?

Into repeatable, consistent, and explainable rules:

# Use natural language for prediction and data retrieval:
engine.rule(
    when=condition(f"Are {Apple.kind} considered good for baking?"),
    then=action(Apple(baking=True)),
)

# Use computed logic for operations that must be correct:
engine.rule(
    when=condition(lambda: Apple.baking and Inventory.apples < 10),
    then=action(Order(apples=10)),
)

# Intelligent on-demand rule evaluation:
engine.fact(Inventory(apples=9))
engine.fact(Apple(kind="Honeycrisp"))

Get Involved!

We welcome contributions from the community to help make Vulcan even better:

• Contribute Code - Check out the contribution guidelines for information on how to submit pull requests
• Report Issues - Found a bug or have a feature request? Open an issue on our GitHub repository
• Join the Community - Connect with other Vulcan users and developers on GitHub Discussions

Additional Resources

Learn more about Vulcan:

• Core Concepts - Understand the fundamental principles of Vulcan
• Guides & Tutorials - Step-by-step instructions for common use cases
• API Reference - Detailed information about the Vulcan API