Orchestra is a lightweight open-source agentic framework for creating LLM-driven task pipelines and multi-agent teams, centered around the concept of

Introduction | Orchestra

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2025-01-22 06:00:05

Orchestra is a lightweight open-source agentic framework for creating LLM-driven task pipelines and multi-agent teams, centered around the concept of Tasks rather than conversation patterns.

Orchestra is built around the concept of task completion, rather than conversation patterns. It has a modular architecture with interchangeable components. It's meant to be lightweight with minimal dependencies, and it offers transparency through a flat hierarchy and full prompt exposure.

Tasks are the fundamental building blocks of Orchestra. Each task represents a single, discrete unit of work to be performed by a Large Language Model. They include an optional context field for providing relevant background information, and an instruction that defines the core purpose of the task.

An Agent in Orchestra represents a specific role or persona with a clear goal. It can have optional attributes, and is powered by a selected language model (LLM). This structure allows Agents to maintain a consistent persona across multiple tasks. Agents can also be assigned tools, which are specific deterministic functions that the agent can use to interact with libraries, APIs, the internet, and more.