At its core, AI Orchestra offers a modular orchestration engine that lets developers define nodes representing AI agents, tools, and custom modules. Each node can be configured with specific LLMs (e.g., OpenAI, Hugging Face), parameters, and input/output mapping, enabling dynamic task delegation. The framework supports composable pipelines, concurrency controls, and branching logic, allowing complex flows that adapt based on intermediate results. Built-in telemetry and logging capture execution details, while callback hooks handle errors and retries. AI Orchestra also includes a plugin system for integrating external APIs or custom functionalities. With YAML or Python-based pipeline definitions, users can prototype and deploy robust multi-agent systems in minutes, from chat-based assistants to automated data analytics workflows.