Orchestral AI: A Framework for Agent Orchestration
Alexander Roman, Jacob Roman

TL;DR
Orchestral is a Python framework that unifies and simplifies the development of multi-provider LLM agents, enhancing portability, type safety, and real-time interaction for scientific and production use.
Contribution
It introduces a universal message and tool representation, automatic schema generation, and a modular architecture for building portable, reliable LLM agents across providers.
Findings
Reduces framework complexity and manual format translation.
Enables deterministic, real-time agent interactions.
Supports advanced agent features like memory and sub-agents.
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…
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Taxonomy
TopicsMulti-Agent Systems and Negotiation · Mobile Agent-Based Network Management · Scientific Computing and Data Management
