A T-API-Compliant ReAct Agentic Loop for Optical Networks: Generic vs. Domain-Specific Tool Abstractions

2026-06-16

AI Summary

This work proposes the first intent-driven, closed-loop intelligent agent management framework for optical networks that complies with the T-API standard. Built upon the ReAct reasoning-and-acting paradigm, the framework innovatively integrates domain-specific composite tools with large language model (LLM) invocation interfaces. Experimental results, validated by domain experts, demonstrate that the proposed approach achieves a task accuracy of 90% while reducing token consumption by a factor of three compared to generic tool abstractions. This substantial improvement in both efficiency and precision underscores the framework’s effectiveness in enhancing autonomous network management capabilities.

Abstract

Optical networks need intent-driven, closed-loop agentic management, a key enabler for higher autonomy levels. We present the first T-API-compliant reasoning and act (ReAct) loop. We show that domain-specific composite tools achieve 90% oracle-validated correctness with threefold token savings compared to generic tools.

Problem

• optical networks
• T-API
• ReAct agentic loop
• intent-driven management
• tool abstraction

Innovation

• T-API
• ReAct
• domain-specific tools
• optical networks
• agentic loop