xemantic

Facilitates AI agent development with streamlined integration of Anthropic API, offering automatic JSON schema generation for tools and reduced verbosity in defining agent capabilities.

Generates JSON Schema for serializable classes, enabling seamless integration with AI agents and large language models. Supports automatic instantiation from JSON input, facilitating complex data structure development.

Testing library enhances assertions with a power-assert compatible DSL, simplifies checking hierarchical data structures, and facilitates access to test files and environment variables.

Adapts Model Context Protocol to enable automatic MDC-compatible JSON Schema generation from serializable classes, overcoming limitations in expressing JSON Schema definitions.

Facilitates real-time calculation of AI model API usage costs, leveraging monetary representation and big decimal arithmetic for precise accounting of input and output token expenses.

Enhances standard library with essential extensions, streamlining common tasks. Easily integrated into projects via dependency management. Regular updates ensure access to latest features.

Streams Markdown and markup into hierarchical semantic events, enabling real-time transformations and rendering to HTML, Markdown, XML, or custom formats while preserving nested structure.

Enables automatic detection of file content types for binary data, streamlining API interactions by setting MIME types and encoding data as base64 strings for AI platforms.

Template simplifies creation of new Gradle projects with Xemantic's conventions, offering a structured setup and update guidelines for dependencies and project configurations.

Type-safe DSL for building HTML5 and SVG DOM trees; reactive MVVM utilities with async-friendly state flows; idiomatic extensions for array, map and set collections, plain-object and DOM helpers.