<?xml version="1.0" encoding="UTF-8"?>
<reference anchor="I-D.cui-ai-agent-discovery-invocation" target="https://datatracker.ietf.org/doc/html/draft-cui-ai-agent-discovery-invocation-01">
   <front>
      <title>AI Agent Discovery and Invocation Protocol</title>
      <author initials="Y." surname="Cui" fullname="Yong Cui">
         <organization>Tsinghua University</organization>
      </author>
      <author initials="Y." surname="Chao" fullname="Yihan Chao">
         <organization>Zhongguancun Laboratory</organization>
      </author>
      <author initials="C." surname="Du" fullname="Chenguang Du">
         <organization>Zhongguancun Laboratory</organization>
      </author>
      <date month="February" day="12" year="2026" />
      <abstract>
	 <t>   This document proposes a standardized protocol for discovery and
   invocation of AI agents.  It defines a common metadata format for
   describing AI agents (including capabilities, I/O specifications,
   supported languages, tags, authentication methods, etc.), a
   capability-based discovery mechanism, and a unified RESTful
   invocation interface.

   This revision additionally specifies an optional extension that
   enables intent-based agent selection prior to discovery and
   invocation, without changing existing discovery or invocation
   semantics.

   The goal is to enable cross-platform interoperability among AI agents
   by providing a discover-and-match mechanism and a unified invocation
   entry point.  Security considerations, including authentication and
   trust measures, are also discussed.  This specification aims to
   facilitate the formation of multi-agent systems by making it easy to
   find the right agent for a task and invoke it in a consistent manner
   across different vendors and platforms.

	 </t>
      </abstract>
   </front>
   <seriesInfo name="Internet-Draft" value="draft-cui-ai-agent-discovery-invocation-01" />
   
</reference>
