Markdown Version | Transcript | Session Recording

Session Date/Time: 28 Sep 2026 17:00 ✎ Suggest a correction

OAUTH

Summary

The OAUTH Working Group held an interim meeting on September 21, 2026, to discuss OAuth in the context of agentic and Large Language Model (LLM) use cases. The session focused on a joint presentation by Anthropic and OpenAI outlining real-world integration challenges, including client registration friction, consent fatigue, principal selection/cardinality, and fine-grained scoping.

Key Discussion Points

1. Welcome and Administrative Updates


2. Presentation: Anthropic / OpenAI OAuth Interop

Paul Carleton (Anthropic) and Nick Steele (OpenAI) delivered a presentation based on the Anthropic / OpenAI OAuth Interop Deck. The presentation categorized agentic OAuth challenges into three areas: "boring" client friction, principal selection, and scoping issues.

A. "Boring" OAuth Problems & Integration Friction

LLM applications act as highly general-purpose clients, connecting to numerous downstream resources dynamically. This behavior amplifies existing OAuth integration friction:

B. Client and Principal Selection

Representing an agent's identity and its relationship to a user in OAuth tokens is complex:

C. Scope Issues & Fine-Grained Authorization

OAuth scopes are typically evaluated upfront and are often too broad (e.g., full read/write) for a safe agentic execution environment.

Next Steps

Related Documents

draft-ietf-oauth-client-id-metadata-document, draft-ietf-oauth-deferred-token-response, draft-ietf-oauth-identity-assertion-authz-grant, draft-mcguinness-oauth-actor-profile, draft-skyfire-oauth-kyapay-token