Orchestral AI: A Framework for Agent Orchestration

• URL: http://arxiv.org/abs/2601.02577v1
• Date: Mon, 05 Jan 2026 22:02:11 GMT
• Title: Orchestral AI: A Framework for Agent Orchestration
• Authors: Alexander Roman, Jacob Roman,
• Abstract summary: Orchestral is a lightweight Python framework that provides a unified, type-safe interface for building LLM agents across major providers.<n>It operates seamlessly across providers, eliminating manual format translation and reducing framework-induced complexity.<n>It supports advanced agent capabilities found in larger frameworks, including rich tool calling, context compaction, sandboxing, user approval, sub-agents, memory management, and MCP integration.
• Score: 45.946776875141666
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The rapid proliferation of LLM agent frameworks has forced developers to choose between vendor lock-in through provider-specific SDKs and complex multi-package ecosystems that obscure control flow and hinder reproducibility. Integrating tool calling across multiple LLM providers remains a core engineering challenge due to fragmented APIs, incompatible message formats, and inconsistent streaming and tool-calling behavior, making it difficult to build portable, reliable agent systems. We introduce Orchestral, a lightweight Python framework that provides a unified, type-safe interface for building LLM agents across major providers while preserving the simplicity required for scientific computing and production deployment. Orchestral defines a single universal representation for messages, tools, and LLM usage that operates seamlessly across providers, eliminating manual format translation and reducing framework-induced complexity. Automatic tool schema generation from Python type hints removes the need for handwritten descriptors while maintaining type safety across provider boundaries. A synchronous execution model with streaming support enables deterministic behavior, straightforward debugging, and real-time interaction without introducing server dependencies. The framework's modular architecture cleanly separates provider integration, tool execution, conversation orchestration, and user-facing interfaces, enabling extensibility without architectural entanglement. Orchestral supports advanced agent capabilities found in larger frameworks, including rich tool calling, context compaction, workspace sandboxing, user approval workflows, sub-agents, memory management, and MCP integration.

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