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March 25, 20260 citationsOpen Access

APR-Lite Phase 5 Technical Note Routing Brain v2: Governed Intent Classification, Agent Selection, Topology Construction, and Pruning in Regulated Multi-Agent AI Systems

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NTNarnaiezzsshaa Truong

Key Points

  • To detail the Routing Brain v2 system implemented in APR-Agentic v5, focusing on intent classification and agent management.
  • Implemented Routing Brain v2 into APR-Agentic v5.0.0 as Phase 5 of APR-Lite governance platform.
  • Replaced Phase 3 routing stub with a comprehensive governed routing resolution engine.
  • Conducted drift-state evaluation, intent classification, and candidate agent selection against sector rules.
  • Deterministically pruned unsafe agents and built routing topologies.
  • Validated system using a 16-test smoke suite.
  • Successfully classified intentions through content evaluation via the APR-Lite substrate.
  • Established a complete governance framework for agent selection and pruning mechanisms.
  • Validated implementation efficiency with 16-test success in smoke testing.

Abstract

This technical note describes the Routing Brain v2 implemented in APR-Agentic v5. 0. 0 as Phase 5 of the APR-Lite governance platform. The Routing Brain v2 replaces the Phase 3 routing stub with a full governed routing resolution engine. Every routing request undergoes: drift-state evaluation against the current session, intent classification via the APR-Lite substrate (enforcing sector rules, privilege ceilings, and envelope constraints on the input itself), candidate agent selection from the agentᵣegistry with sector defaults fallback, deterministic pruning of unsafe, frozen, and policy-forbidden agents, topology construction (sequential, parallel, or hierarchical), routing plan persistence, and governance evidence emission. The implementation is validated against a 16-test smoke suite. A key architectural invariant established in Phase 5: intent classification is content evaluation and must route through the substrate, not a local classifier.

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Cite This Study

Narnaiezzsshaa Truong (2026) studied this question.

synapsesocial.com/papers/69c37be2b34aaaeb1a67ebf1https://doi.org/10.5281/zenodo.19194436
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