Bot-With-Plan provides a modular Python template for building AI agents that first generate a detailed plan before execution. It uses OpenAI GPT to parse user instructions, decompose tasks into sequential steps, validate the plan, and then execute each step through external tools like web search or calculators. The framework includes prompt management, plan parsing, execution orchestration, and error handling. By separating planning and execution phases, it offers better oversight, easier debugging, and a clear structure for extending with new tools or capabilities.

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.