<?xml version="1.0" encoding="UTF-8"?>
<reference anchor="I-D.dunbar-dmsc-gw-scenarios-gap-analysis" target="https://datatracker.ietf.org/doc/html/draft-dunbar-dmsc-gw-scenarios-gap-analysis-04">
   <front>
      <title>Deployment Scenarios and Gap Analysis for AI Agent Gateway</title>
      <author initials="L." surname="Dunbar" fullname="Linda Dunbar">
         <organization>Futurewei</organization>
      </author>
      <author initials="Y." surname="Wang" fullname="YiFei Wang">
         <organization>China Telcom</organization>
      </author>
      <author initials="I." surname="Schrock" fullname="Iman Schrock">
         <organization>Emiliaprotocol AI</organization>
      </author>
      <author initials="B." surname="Liu" fullname="Bing Liu">
         <organization>Huawei</organization>
      </author>
      <date month="August" day="14" year="2026" />
      <abstract>
	 <t>   This document examines deployment scenarios for AI agent
   collaboration and analyzes the circumstances under which AI
   Agent Gateway functions provide operational or
   interoperability benefits that cannot be achieved through
   direct agent-to-agent communication alone. The document
   considers both single-domain and multi-domain deployments,
   identifies specific challenges associated with each
   deployment model, evaluates the limitations of existing agent
   communication mechanisms (including MCP and A2A) with respect
   to those challenges, and demonstrates that gateway functions
   are necessary in deployments involving multiple tenants,
   multiple vendors, or multiple administrative domains.

	 </t>
      </abstract>
   </front>
   <seriesInfo name="Internet-Draft" value="draft-dunbar-dmsc-gw-scenarios-gap-analysis-04" />
   
</reference>
