Xemantic AI Tool Schema is a set of JSON Schema and TypeScript type definitions designed to standardize the way AI agent tools are described, validated, and invoked. Developers can define tool metadata such as name, description, and parameters, then validate instances against the schema or use generated TypeScript interfaces during development. The schema supports parameter types, nested structures, default values, and version control, ensuring robust validation and compatibility. By following a consistent schema, AI Agents can discover and call tools reliably at runtime, improving maintainability and reducing integration errors. The package integrates seamlessly with Xemantic AI Agents and can be extended for custom use cases.

Agent Adapters is designed to provide developers with a consistent interface for connecting AI agents to external services and frameworks. Through its pluggable adapter architecture, it offers prebuilt adapters for HTTP APIs, messaging platforms like Slack and Teams, and custom tool endpoints. Each adapter handles request parsing, response mapping, error handling, and optional logging or monitoring hooks. Developers can also register custom adapters by implementing a defined interface and configuring adapter parameters in their agent settings. This streamlined approach reduces boilerplate code, ensures uniform workflow execution, and accelerates the deployment of agents across multiple environments without rewriting integration logic.