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Minutes IETF126: anima: Tue 14:30
minutes-126-anima-202607211430-00

Meeting Minutes Autonomic Networking Integrated Model and Approach (anima) WG
Date and time 2026-07-21 14:30
Title Minutes IETF126: anima: Tue 14:30
State Active
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Last updated 2026-08-04

minutes-126-anima-202607211430-00

IETF126 ANIMA WG Meeting Agenda and Notes

Master at: https://notes.ietf.org/notes-ietf-126-anima

IETF126 is a hybrid IETF meeting.

Please familiarize yourself with the new & changed procedures for
participating in-person or remote:

https://www.ietf.org/how/meetings/preparation/

ANIMA will have one 90 minute session, chaired by Sheng Jiang and
Toerless Eckert (both onsite), Tuesday, Session VI, "Park Suite 7",
16:30 - 18:00 Meeting Time (CEST, UTC+2)

Number of participants on meetecho: 24 In the room: 32

Agenda / Notes

Note takers: Toerless, Sheng, ... collaborative editing by WG members.
Note taking was enhanced by copying or reformulating AI generated
minutes from: https://ietfminutes.org/minutes/ietf126/anima.html (thanks
a lot, Eric!)

00 Chair slides

Presenter: Sheng Jiang (local), Toerless Eckert (local)
Time: 10 minutes

No changes since IETF125 (only revision push)
Draft: draft-ietf-anima-registrar-considerations-03 (was -01 at IETF125)

Draft: draft-ietf-anima-masa-considerations-02 (was -01 at IETF125)

No changes since IETF125
draft-ietf-anima-network-service-auto-deployment-07 (no change since
IETF125)

Moved to IESG since IETF125:
Draft: draft-ietf-anima-rfc8366bis-32 (was -26 at IETF125):

Several core BRSKI documents are progressing through the RFC Editor
queue. In Jabber/chat, Steffen Fries and Mahesh Jethanandani discussed
how draft-ietf-anima-brski-prm (BRSKI-PRM) was pushed into the RFC
Editor queue now that its dependency, rfc8366bis, is in the IESG
Evaluation state

service-dpeloyment also parked

rfc8366bis IESG feedback being handled. If you have any details go to
michael.

draft-ietf-anima-brski-discovery-13: presented by Toerless Eckert
inline: Fully incorporated feedback from Stuart Cheshire. Speciofic text
improvements on details where BRSKI discovery implementations will
likely need to be diffferent than pre-existing DNS-SD implementations:
resilient switchover of clients, proxy behavior. After that version
request for easrly reviews from several directorates. These arrived
shortly before IETF126 and will be incorporated afterwards.

Toerless mentioned using Claude to proofread the XML/Markdown of the
draft. Stuart Cheshire supported this strategy, noting that AI tools are
exceptionally valuable for proofreading spelling, grammar, and general
readability before submitting to the mailing list, allowing participants
to focus purely on technical content.

Chairs presented a proposal to recharter ANIMA to explicitly support
AI-powered network agents (AI-ASAs) and agentic network automation.
Sheng Jiang clarified that "network agents" refers strictly to agents
serving networking tasks (device configuration, management, operation)
rather than generic application-level AI.

Microphone question about Discovery in ANIMA vs. DAWN: Discovery in
ANIMA is for solely the purpose of network management and operations
agents communications (AI or non-AI agents)

WG draft slots

01 Constrained BRSKI

Draft: draft-ietf-anima-constrained-voucher-31 (was -30 at IETF125)
Draft: draft-ietf-anima-constrained-join-proxy-20 (was -18 at IETF124)
Presenter: Esko Dijk (local)
Time: 10 min

  • Updates on Constrained Voucher:

    • Updated the join proxy discovery methods using a simplified,
      more compact CoAP Link Format discovery.
    • Added default DTLS 1.2 and DTLS 1.3 cipher suite details to
      improve out-of-the-box interoperability.
    • Esko shared details on his Hackathon work using a simulated
      environment (running open-source components of Thread/6LoWPAN
      and Java-based web services) to validate the end-to-end
      bootstrap flow.
    • A detailed Shepherd review was received. Esko is planning to
      move general IoT post-onboarding device management
      considerations out of this document to make the draft strictly
      focused on onboarding.
  • Updates on Constrained Join Proxy:

    • Aligned terminology with updated onboarding specs.
    • Provided stricter guidance on mode selection (stateless vs.
      stateful).
    • Refined the definition of the JPY protocol scheme and
      shortened the default multicast discovery message sizes in
      cooperation with the CoRE Working Group.

Slides also show recap of some hackathon work related to OpenThread +
cBRSKI.

SKIPPED: 02 BRSKI discovery (for time reasons now in chair slides)

Draft: draft-ietf-anima-brski-discovery-13 (was -09 at IETF125)
Presenter: Toerless Eckert (local)
Time: 10 min

03 Constrained GRASP

Draft: draft-ietf-anima-constrained-grasp-03 (was -02 at IETF125)
Presenter: Longwei Zhu (remote)
Time: 10 min

  • Key Updates in v03:
    • Simplified the base profile by deferring support for the
      standard GRASP M_WAIT message to future extensions. Since
      CoAP-based state management is complex over long periods, the
      base cGRASP profile expects nodes to rely on negotiated timeouts
      or terminate and restart sessions instead of waiting.
    • Redesigned the discovery relay mechanism. CoAP exchange states
      are now kept local to each relay hop (hub), while the cGRASP
      session state remains stable end-to-end.
    • Migrated the prototype implementation from TCP-based GRASP to
      Python/AIOCoAP (running over UDP). The prototype successfully
      validated multi-link relaying, unicast negotiation,
      synchronization, flooding, and loop-count handling.
    • Discuss Toerless/Sheng: The authors plan to open-source the
      prototype once licensing approvals are cleared in the
      university.

New Work proposals

04 The Use Case of Autonomic Traffic Management in the Artificial Intelligence Data Center

Draft: draft-jiang-autonomic-traffic-management-in-aidc
Presenter: Sheng Jiang (local)
Time: 10 min

  • Associated Draft Context: Formerly independent, recently
    submitted with an ANIMA-oriented focus.

  • Discussion:

    • Sheng described the unique traffic challenges in AI Data Centers
      (AIDC). Highly synchronized workloads generate extreme
      burstiness, network hotspots, and compute-idle intervals during
      collective communication phases (e.g., training/inference).
    • Proposed an autonomic traffic management framework that
      coordinates across multiple domains: applications, compute
      placement, packet networks, and optical paths.
    • Outlined two operational models: a fully distributed workflow
      utilizing ASAs negotiating via GRASP, and a hybrid orchestration
      model combining global visibility (centralized controllers) with
      low-latency local reaction (distributed ASAs).
    • Questions to the WG: Sheng asked if traffic management ASAs
      are within the scope of ANIMA, whether the hybrid orchestration
      framework is viable, and if the draft should define specific
      GRASP objectives (which would shift it to the Standards Track).
      Toerless Eckert suggested moving these questions to the mailing
      list due to scheduling constraints.

05 AI for Autonomic Networking and Agentic AI for Intent-Based Networking

Draft: draft-eckert-anima-ai4an
Draft: draft-cxxx-nmrg-ai4ibn
Presenter: Toerless Eckert (local), Alexander Clemm (remote)
Time: 10 min

  • Discussion:

    • Discussed the gap between "self-driving networks" (which are
      typically just highly automated centralized NOCs running AI) and
      truly autonomic, distributed networks.
    • Explored how Agentic AI can safely operate within the ANI
      framework. Strategies include:

      1. Letting LLMs/agents execute autonomic control loops
        directly, relying on the robust security/isolation of the
        Autonomic Control Plane (ACP) to survive agent failures or
        misconfigurations.
      2. Restricting LLMs to safe parameter optimization (e.g.,
        traffic engineering).
      3. Using LLMs as development and deployment assistants to
        automatically synthesize and verify lightweight,
        deterministic ASAs.
    • Explained how rechartering would allow dynamic,
      lifecycle-managed ASAs to be safely downloaded and run in the
      network (or on provisioning PCs in POPs for legacy network
      environments).

06 Problem Statement and Gap Analysis for Autonomic Networking with AI- powered Autonomic Service Agent

Draft: draft-han-anima-gap-analysis-ai-asa
Presenter: Mengyao Han (local)
Time: 10 min

  • Discussion:
    • The presentation identified gaps between traditional ASAs and
      AI-powered ASAs (AI-ASAs) operating over the ANI.
    • Gaps Identified:
      1. Data-Intensive Communication: AI-ASAs exchange large
        contexts (e.g., LLM prompts, reasoning traces, real-time
        streams). While GRASP is suitable for discovery and
        negotiation, bulk data transport might require handshaking
        over GRASP and shifting to TCP, QUIC, or HTTP.
      2. Dynamic/Unregistered Objectives: Unlike traditional static
        GRASP objectives, AI-ASAs generate dynamic objectives. A
        common semantic model combining machine-readable structures
        with natural language is needed to ensure interoperability
        between agents from different developers.
      3. Trust & Security: Mechanisms must be introduced to address
        AI-specific risks, such as model errors or hallucinations,
        before agents deploy configurations.

07 GRASP through routers: a Problem Statement

Draft: draft-soulard-anima-grasp-router-problem-statement-01
Presenter: Titouan Soulard (local)
Time: 10 minutes

  • Discussion:
    • Titouan presented a scenario where GRASP is used to orchestrate
      a cloud environment across multiple administrative domains. In
      this setup, operators lack control over intermediate routers,
      meaning multicast GRASP discovery cannot cross subnets because
      the routers do not support GRASP.
    • Proposed a "relay node" objective. Relays in each subnet would
      discover each other (via pre-configuration) and tunnel multicast
      discovery messages over unicast across the non-GRASP routers.
    • In the chat, Esko Dijk asked if this model shifts GRASP from
      "zero-config" to "minimal-config". Titouan replied that while a
      one-relay-per-subnet setup requires minimal configuration
      (relays know each other but are discovered dynamically by
      clients), it is far simpler than an "omniscient" configuration
      where every node must know a remote relay.
    • Toerless Eckert suggested this work aligns well with proposed
      rechartering and a potential "ACP-free ANI" architecture.

08 Use Cases and Requirements for Network Admission of AI Agent Instances

Draft: draft-shang-agent-network-admission-00
Presenter: Chao Shang (local)
Time: 5 min

  • Discussion:
    • Chao presented the security and operational problems that arise
      when multiple AI agents or processes share the same IP address
      on a device. Currently, the network cannot differentiate traffic
      between different agents or attribute traffic to specific agent
      instances.
    • Application-layer authorization occurs too late—after network
      access has already been exposed.
    • Chao proposed a "verify, bound, and enforce" model to couple
      cryptographic agent instance identity with network admission.
    • Additionally, because AI agents dynamically select tools and
      external targets based on their tasks, the network must enforce
      "scope-down" access control. This restricts an agent's network
      privileges to the intersection of its base credentials and the
      minimal requirements of its current, active task.

09 Campus Agent Identification and Scope-Down Access Control

Drafts: draft-shang-campus-agent-scope-down-01
Presenter(s): Chao Shang
Time: 5 min

Chair Wrap-off (5 min)


Decisions and Action Items


Next Steps

  • ANIMA Rechartering:

    • Chairs to refine the proposed charter text based on meeting
      feedback and present it to the Area Director (AD) and the
      Working Group.
    • Members with existing/recent drafts (such as DNS discovery over
      GRASP, ACP-free ANI, and AI-ASA use cases) are urged to champion
      their work on the mailing list to sync with the new charter
      scope.
  • Mailing List Discussions:

    • Debate on draft-ietf-anima-constrained-grasp v04 updates
      (especially discovery transaction lifecycles and cGRASP profile
      scope).
    • Discussion on the architectural alignment and security
      properties of "GRASP through routers" (07 GRASP through routers: a Problem Statement).
    • Scoping of Sheng Jiang's AI Data Center traffic management draft
      and Chao Zhou's agent admission and scope-down access control
      problem statements.