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  • Java-Action-Shape offers agents within the LightJason MAS a suite of Java actions to generate, transform, and analyze geometric shapes.
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    What is Java-Action-Shape?
    Java-Action-Shape is a dedicated action library designed to extend the LightJason multi-agent framework with advanced geometric capabilities. It provides agents with out-of-the-box actions to instantiate common shapes (circle, rectangle, polygon), apply transformations (translate, rotate, scale), and perform analytical computations (area, perimeter, centroid). Each action is thread-safe and integrates with LightJason’s asynchronous execution model, ensuring efficient parallel processing. Developers can define custom shapes by specifying vertices and edges, register them within the agent’s action registry, and include them in plan definitions. By centralizing shape-related logic, Java-Action-Shape reduces boilerplate code, enforces consistent APIs, and accelerates the creation of geometry-driven agent applications, from simulations to educational tools.
    Java-Action-Shape Core Features
    • Create standard shapes (circle, rectangle, polygon)
    • Apply transformations (translate, rotate, scale)
    • Compute geometric properties (area, perimeter, centroid)
    • Define and register custom shapes
    • Thread-safe asynchronous action execution
    • Seamless integration with LightJason MAS
  • Agent Forge is a CLI framework for scaffolding, orchestrating, and deploying AI agents integrated with LLMs and external tools.
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    What is Agent Forge?
    Agent Forge streamlines the entire lifecycle of AI agent development by offering CLI scaffold commands to generate boilerplate code, conversation templates, and configuration settings. Developers can define agent roles, attach LLM providers, and integrate external tools such as vector databases, REST APIs, and custom plugins using YAML or JSON descriptors. The framework enables local execution, interactive testing, and packaging agents as Docker images or serverless functions for easy deployment. Built-in logging, environment profiles, and VCS hooks simplify debugging, collaboration, and CI/CD pipelines. This flexible architecture supports creating chatbots, autonomous research assistants, customer support bots, and automated data processing workflows with minimal setup.
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