| Internet-Draft | vCon AI Agent Extension | November 2026 |
| Birkholz, et al. | Expires 6 May 2027 | [Page] |
AI agents that use large language models increasingly perform consequential tasks on behalf of humans and other AI agents. Demonstrating that recorded AI agent behavior truthfully represents actual behavior is essential for accountability, compliance, and human oversight. To achieve that goal, this document defines an extension to the Virtualized Conversation (vCon) object format, allowing a vCon to capture a conversation between a human and an AI agent, or between AI Agents. The vCon core format can already capture the back and forth messages (including text and voice) sent by AI agents, but additional extensions are required to fully reproduce the AI agent trajectory, such as agent metadata, message exchanges, tool invocations, reasoning traces, system events, file attribution, etc. This document defines those extensions in both descriptive language and formal CDDL definitions. This draft is a replacement for the former Verifiable Agent Conversation Records specification, which was a standalone format and not an extension of vCon.¶
This note is to be removed before publishing as an RFC.¶
Status information for this document may be found at https://datatracker.ietf.org/doc/draft-birkholz-vcon-ai-agent-extension/.¶
Discussion of this document takes place on the Virtualized Conversations Working Group mailing list (mailto:vcon@ietf.org), which is archived at https://mailarchive.ietf.org/arch/browse/vcon/. Subscribe at https://www.ietf.org/mailman/listinfo/vcon/.¶
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