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| Natura: | Recurso digital |
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Zenodo
2026
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| Accesso online: | https://doi.org/10.5281/zenodo.19869145 |
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Sommario:
- <p>This record archives the initial submission of the Reilly Model Routing Protocol (RMRP), an IETF Internet-Draft (draft-reilly-rmrp-00) submitted April 28, 2026, by Lawrence J. Reilly Jr. (Independent).</p> <p>RMRP defines a provider-agnostic, transport-agnostic protocol framework for governing how inference requests are routed across heterogeneous AI model deployments. The specification addresses a documented gap in the current AI infrastructure landscape: no standardized protocol exists for declaring, transmitting, auditing, or enforcing AI model routing decisions at the governance layer.</p> <p>The protocol introduces four primary structures: the Model Routing Decision (MRD), a structured metadata object that accompanies every routed inference request; the Routing Policy Document (RPD), a signed and versioned declarative specification governing routing rules; the Audit Log Record (ALR), a tamper-evident record of every routing event; and the Cost Attribution Record (CAR), which traces the financial cost of each inference request to the policy, cost center, and budget authority that authorized it.</p> <p>RMRP operates independently of any specific AI model provider, inference runtime, or vendor implementation. It is designed to function as a governance and accountability layer above existing AI model routing systems and API gateways, enabling organizations to enforce least-cost routing policy, maintain auditable decision trails, and attribute inference expenditure to accountable budget owners.</p> <p>This draft is published as an individual submission to the IETF and is archived here under Dual-Layer Digital Permanence methodology, combining DOI archival with Bitcoin blockchain timestamping via OpenTimestamps, as established in draft-reilly-rem-protocol-01.</p> <p>IETF Datatracker: https://datatracker.ietf.org/doc/draft-reilly-rmrp/</p>