[OPS-AREA]Re: [nmrg] Re: [NMOP] Re: [OPSAREA @IETF126] IRTF/IETF OPS Transfer: Status & Exploring Coll aboration Opportunities
"Joe Clarke \(jclarke\)" <[email protected]> Mon, 13 Jul 2026 07:32:38 +0000
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--===============0736854182616703133== Content-Language: en-US Content-Type: multipart/alternative; boundary="_000_CH2PR11MB8867C24122AC20D9089E1286B8FA2CH2PR11MB8867namp_" --_000_CH2PR11MB8867C24122AC20D9089E1286B8FA2CH2PR11MB8867namp_ Content-Type: text/plain; charset="Windows-1252" Content-Transfer-Encoding: quoted-printable Catching up on this conversation and thanks for sharing your thoughts and c= ommenting. What you are describing making very much sense to me. Regarding: Q4, How does an AI agent interact with Network Digital Twin, Intent-Based N= etworking, SIMAP, Knowledge Graphs and YANG data in Message Brokers? A: It depends on the specific situation, there should be no one-size-fi= ts-all solution. [JMC] See above on a thought on digital twin. And, yeah, I don=92t think w= e=92ll have a one-size fits all model. [TG] My biased view is that a Network Digital Twin is helpful in context of= Planning & Reasoning where Intent-Based Networking, SIMAP and Knowledge Gr= aphs in context of Learning & Self-Correction. I see the YANG schema and se= mantics in the YANG schema registry (https://datatracker.ietf.org/doc/html/= draft-ietf-nmop-yang-message-broker-integration-13#section-4.4) and in the = Streaming Catalog (https://datatracker.ietf.org/doc/html/draft-ietf-nmop-ya= ng-message-broker-integration-13#section-4.5) in Message Brokers as a sourc= e of information for the RAG (Retrieval-Augmented Generation) and identifyi= ng from which Message Broker topics which YANG data should be consumed from= , which Chonfeng lists under Tool Use & Execution. What are your thoughts? Does that make sense? [JMC2] It makes sense, sure. What is yet to be seen is if all of that sche= ma and organization makes RAG any more efficient than loading in configs, i= nventory, and topology raw data and then presenting network questions/probl= ems. I=92ve seen the latter be pretty good though not perfect. I=92m not = positive so much more effort is going to help, though. Joe Best wishes Thomas From: Joe Clarke (jclarke) <[email protected]> Sent: Thursday, June 25, 2026 8:27 PM To: Chongfeng Xie <[email protected]>; Graf Thomas, SCS-INI-NET-VNC-E2= E <[email protected]>; ops-area <[email protected]>; opsawg <opsawg@= ietf.org>; nmop <[email protected]>; [email protected] Cc: [email protected] Subject: Re: [nmrg] Re: [NMOP] Re: [OPSAREA@IETF126] IRTF/IETF OPS Transfer= : Status & Exploring Collaboration Opportunities Be aware: This is an external email. Chongfeng, I mostly agree with everything you said. That is, I have a simi= lar understanding. I do have a few comments, though, based on my implement= ation experience. Q1. Which AI agents capabilities are suitable for network management? A: AI agents have the following common capabilities, - Perception: Processes multi-modal inputs (text, images, audio) and tr= acks context and state over time. [JMC] This depends on model. Not all models can handle all types of input.= And the model capabilities will influence overall cost. - Planning & Reasoning: Breaks high-level goals into actionable sub-tas= ks, dynamically re-plans when obstacles arise, and evaluates trade-offs bef= ore acting. - Tool Use & Execution: Autonomously calls external tools=97search engi= nes, APIs, calendars, code interpreters, and databases=97to take real actio= n in the digital world (e.g., send emails, book flights, query data). [JMC] More specifically, with network management, tools can access devices = to get data and adjust configuration. In the former, what the agent can th= en do with the data it retrieves heavily depends on the model and its train= ing data. For example, many frontier models generally do well with basic n= etwork operational data. Adding on to tool use, RAG or purpose-trained or = tuned models, and you can get even better results from such tools calls. - Learning & Self-Correction: Detects errors, reflects on outcomes, ite= rates on solutions, and utilizes both short-term and long-term memory to im= prove over time. [JMC] This is where Digital Twin comes into place. You don=92t necessarily= want a model to =93learn=94 as it=92s going through your production networ= k. Testing its =93reasoning=94 in a twin environment makes it safer for do= ing that self-correction and iteration. All the capabilities above are useful for network management. With the unde= rground support of LLM models, the following functionalities can be realize= d by AI agents in the context of network management, - Intent-based auto-assignment: Automatically routes NOC tickets based o= n detected intent. - Intelligent root-cause analysis: Pinpoints fault origins with precisio= n. [JMC] Eh, maybe. See above. I=92ve had models go off the rails on hyper-s= pecific problems where it didn=92t have a lot of relevant training data. - Actionable troubleshooting guidance: Generates step-by-step plans and= recommended resolutions. - AI-driven orchestration: Enables expert-human collaboration and autom= ated execution of task reassignments/suspensions. - Continuous network optimization: Delivers ongoing tuning recommendati= ons for wireless, core, and cloud-network resources across diverse scenario= s. - Automated recovery verification: Validates fault resolution by queryi= ng network and perceptual metrics via LLM-orchestrated API calls. Q2. What is the impact of an AI network management process to YANG informat= ion, service, network and data modelling? A: AI and legcay network management models belong to different domain= s, the specific manangement modelling is aganostic to the AI network manan= gent process. In other words, AI system can process any YANG information, s= ervice, network and data modelling. [JMC] This has exactly been my experience. I=92ve had good luck with a YAN= G-centric skill. Where things can get problematic is the token consumption= XML and JSON produce when using open weight models with tighter context wi= ndows. Q3. Is MCP (https://en.wikipedia.org/wiki/Model_Context_Protocol) a suitab= le protocol between AI agents and IETF network management data sources and = system components? A: Yes, as an open standard that connects AI models to external data = and tools, MCP enables AI assistants to securely read files, query database= s, and execute actions across different applications. The likelihood of MC= P being used between between AI agents and IETF network management data sou= rces and system components is very high. In addition, other approaches can be used, such as APIs exposed by network = controller, in this case, AI agents can call the APIs directly for network = device configuration or data collection. [JMC] Agree completely. This does work well. And MCP has considerable fra= mework backing. Q4, How does an AI agent interact with Network Digital Twin, Intent-Based N= etworking, SIMAP, Knowledge Graphs and YANG data in Message Brokers? A: It depends on the specific situation, there should be no one-size-fi= ts-all solution. [JMC] See above on a thought on digital twin. And, yeah, I don=92t think w= e=92ll have a one-size fits all model. Joe --_000_CH2PR11MB8867C24122AC20D9089E1286B8FA2CH2PR11MB8867namp_ Content-Type: text/html; charset="Windows-1252" Content-Transfer-Encoding: quoted-printable <html> <head> <meta http-equiv=3D"Content-Type" content=3D"text/html; charset=3DWindows-1= 252"> </head> <body> <div style=3D"direction: ltr; font-family: Aptos, Arial, Helvetica, sans-se= rif; font-size: 12pt; color: rgb(0, 0, 0);"> <br> </div> <div id=3D"mail-editor-reference-message-container"> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> <span style=3D"font-family: "Trebuchet MS", sans-serif; font-size= : 10pt; color: rgb(14, 40, 65);">Catching up on this conversation and thank= s for sharing your thoughts and commenting. What you are describing making = very much sense to me. Regarding:</span></p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> <span style=3D"font-family: "Trebuchet MS", sans-serif; font-size= : 10pt; color: rgb(14, 40, 65);"> </span></p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> <span style=3D"font-family: "Trebuchet MS", sans-serif; font-size= : 10pt; color: rgb(14, 40, 65);">Q4, How does an AI agent interact with Net= work Digital Twin, Intent-Based Networking, SIMAP, Knowledge Graphs and YAN= G data in Message Brokers?</span></p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> <span style=3D"font-family: "Trebuchet MS", sans-serif; font-size= : 10pt; color: rgb(14, 40, 65);"> A: It depends on the sp= ecific situation, there should be no one-size-fits-all solution.</span></p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> <span style=3D"font-family: "Trebuchet MS", sans-serif; font-size= : 10pt; color: rgb(14, 40, 65);"> </span></p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> <span style=3D"font-family: "Trebuchet MS", sans-serif; font-size= : 10pt; color: rgb(14, 40, 65);">[JMC] See above on a thought on digital tw= in. And, yeah, I don=92t think we=92ll have a one-size fits all model= .</span></p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> <span style=3D"font-family: "Trebuchet MS", sans-serif; font-size= : 10pt; color: rgb(14, 40, 65);"> </span></p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> <span style=3D"font-family: "Trebuchet MS", sans-serif; font-size= : 10pt; color: rgb(14, 40, 65);">[TG] My biased view is that a Network Digi= tal Twin is helpful in context of Planning & Reasoning where Intent-Bas= ed Networking, SIMAP and Knowledge Graphs in context of Learning & Self-Correction. I see the YANG schema and semantics in = the YANG schema registry (</span><span style=3D"font-family: "Trebuche= t MS", sans-serif; font-size: 10pt; color: rgb(70, 120, 134);"><a href= =3D"https://datatracker.ietf.org/doc/html/draft-ietf-nmop-yang-message-brok= er-integration-13#section-4.4" data-outlook-id=3D"c3587784-5a44-4b51-9529-0= 4a5ac3513f2" style=3D"color: rgb(70, 120, 134); margin-top: 0px; margin-bot= tom: 0px;"><u>https://datatracker.ietf.org/doc/html/draft-ietf-nmop-yang-me= ssage-broker-integration-13#section-4.4</u></a></span><span style=3D"font-f= amily: "Trebuchet MS", sans-serif; font-size: 10pt; color: rgb(14= , 40, 65);">) and in the Streaming Catalog (</span><span style=3D"font-family: "Tre= buchet MS", sans-serif; font-size: 10pt; color: rgb(70, 120, 134);"><a= href=3D"https://datatracker.ietf.org/doc/html/draft-ietf-nmop-yang-message= -broker-integration-13#section-4.5" data-outlook-id=3D"8f571d13-f638-4eef-9= f60-739752f2a8e6" style=3D"color: rgb(70, 120, 134); margin-top: 0px; margi= n-bottom: 0px;"><u>https://datatracker.ietf.org/doc/html/draft-ietf-nmop-ya= ng-message-broker-integration-13#section-4.5</u></a></span><span style=3D"f= ont-family: "Trebuchet MS", sans-serif; font-size: 10pt; color: r= gb(14, 40, 65);">) in Message Brokers as a source of information for the RAG (Retrieval-Augme= nted Generation) and identifying from which Message Broker topics which YAN= G data should be consumed from, which Chonfeng lists under Tool Use & E= xecution.</span></p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> <span style=3D"font-family: "Trebuchet MS", sans-serif; font-size= : 10pt; color: rgb(14, 40, 65);"> </span></p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> <span style=3D"font-family: "Trebuchet MS", sans-serif; font-size= : 10pt; color: rgb(14, 40, 65);">What are your thoughts? Does that make sen= se?</span></p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> <span style=3D"font-family: "Trebuchet MS", sans-serif; font-size= : 10pt; color: rgb(14, 40, 65);"><br> </span></p> <p class=3D"MsoNormal" style=3D"margin: 0px 0in;"><span style=3D"font-famil= y: Aptos, sans-serif; font-size: 13px; color: rgb(14, 40, 65);">[JMC2] It m= akes sense, sure. What is yet to be seen is if all of that schema and= organization makes RAG any more efficient than loading in configs, inventory, and topology raw data and then present= ing network questions/problems. I=92ve seen the latter be <i>pretty good</i> though not perfect. I=92m not positive so muc= h more effort is going to help, though.</span></p> <p class=3D"MsoNormal" style=3D"margin: 0px 0in;"><span style=3D"font-famil= y: Aptos, sans-serif; font-size: 13px; color: rgb(14, 40, 65);"><br> </span></p> <p class=3D"MsoNormal" style=3D"margin: 0px 0in;"><span style=3D"font-famil= y: Aptos, sans-serif; font-size: 13px; color: rgb(14, 40, 65);">Joe</span><= /p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> <span style=3D"font-family: "Trebuchet MS", sans-serif; font-size= : 10pt; color: rgb(14, 40, 65);"> </span></p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> <span style=3D"font-family: "Trebuchet MS", sans-serif; font-size= : 10pt; color: rgb(14, 40, 65);">Best wishes</span></p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> <span style=3D"font-family: "Trebuchet MS", sans-serif; font-size= : 10pt; color: rgb(14, 40, 65);">Thomas</span></p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> <span style=3D"font-family: "Trebuchet MS", sans-serif; font-size= : 10pt; color: rgb(14, 40, 65);"> </span></p> <div style=3D"padding: 3pt 0in 0in; border-width: 1pt medium medium; border= -style: solid none none; border-color: rgb(225, 225, 225) currentcolor curr= entcolor;"> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> <span style=3D"font-family: Calibri, sans-serif; font-size: 11pt;"><b>From:= </b> Joe Clarke (jclarke) <[email protected]> <br> <b>Sent:</b> Thursday, June 25, 2026 8:27 PM<br> <b>To:</b> Chongfeng Xie <[email protected]>; Graf Thomas, = SCS-INI-NET-VNC-E2E <[email protected]>; ops-area <ops-area= @ietf.org>; opsawg <[email protected]>; nmop <[email protected]>; = [email protected]<br> <b>Cc:</b> [email protected]<br> <b>Subject:</b> Re: [nmrg] Re: [NMOP] Re: [OPSAREA@IETF126] IRTF/IETF = OPS Transfer: Status & Exploring Collaboration Opportunities</span></p> </div> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> </p> <table class=3D"MsoNormalTable" align=3D"left" cellspacing=3D"0" cellpaddin= g=3D"0" border=3D"0" style=3D"width: 100%;"> <tbody> <tr> <td class=3D"MsoNormalTable" style=3D"background-color: rgb(207, 74, 12); p= adding: 5pt 2pt;"> </td> <td class=3D"MsoNormalTable" style=3D"background-color: rgb(255, 248, 229);= padding: 5pt 4pt 5pt 12pt; width: 100%;"> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> <span style=3D"color: rgb(34, 34, 34);"><b>Be aware:</b> This is an ex= ternal email.</span></p> </td> </tr> </tbody> </table> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> </p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> <span style=3D"color: black;">Chongfeng, I mostly agree with everything you= said. That is, I have a similar understanding. I do have a few= comments, though, based on my implementation experience.</span></p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> <span style=3D"color: black;"> </span></p> <div id=3D"mail-editor-reference-message-container"> <div style=3D"padding: 3pt 0in 0in; border-width: 1pt medium medium; border= -style: solid none none; border-color: currentcolor;"> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> <span style=3D"color: black;"> </span></p> </div> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> Q1. Which AI agents capabilities are suitable for network management? = </p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> A: AI agents have the following common capabilitie= s, </p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> </p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> - Perception: Processes multi-modal inputs (text, images, aud= io) and tracks context and state over time.</p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> </p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> <span style=3D"font-family: Arial, sans-serif; color: black;">[JMC] This de= pends on model. Not all models can handle all types of input. A= nd the model capabilities will influence overall cost.</span></p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> </p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> - Planning & Reasoning: Breaks high-level goals into acti= onable sub-tasks, dynamically re-plans when obstacles arise, and evaluates = trade-offs before acting.</p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> </p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> - Tool Use & Execution: Autonomously calls external tools= =97search engines, APIs, calendars, code interpreters, and databases=97to t= ake real action in the digital world (e.g., send emails, book flights, quer= y data).</p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> </p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> <span style=3D"font-family: Arial, sans-serif; color: black;">[JMC] More sp= ecifically, with network management, tools can access devices to get data a= nd adjust configuration. In the former, what the agent can then do wi= th the data it retrieves heavily depends on the model and its training data. For example, many frontier model= s generally do well with basic network operational data. Adding on to= tool use, RAG or purpose-trained or tuned models, and you can get even bet= ter results from such tools calls.</span></p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> </p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> - Learning & Self-Correction: Detects errors, reflects on= outcomes, iterates on solutions, and utilizes both short-term and long-ter= m memory to improve over time.</p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> </p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> <span style=3D"font-family: Arial, sans-serif; color: black;">[JMC] This is= where Digital Twin comes into place. You don=92t necessarily want a = model to =93learn=94 as it=92s going through your production network.  = ;Testing its =93reasoning=94 in a twin environment makes it safer for doing that self-correction and iteration.</span></p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> </p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> All the capabilities above are useful for network management. With the unde= rground support of LLM models, the following functionalities can be realize= d by AI agents in the context of network management,</p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> </p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> - Intent-based auto-assignment: Automatically routes NOC ticke= ts based on detected intent.</p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> </p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> - Intelligent root-cause analysis: Pinpoints fault origins wit= h precision.</p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> </p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> <span style=3D"font-family: Arial, sans-serif; color: black;">[JMC] Eh, <i>= maybe</i>. See above. I=92ve had models go off the rails on hyp= er-specific problems where it didn=92t have a lot of relevant training data= .</span></p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> </p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> - Actionable troubleshooting guidance: Generates step-by= -step plans and recommended resolutions.</p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> </p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> - AI-driven orchestration: Enables expert-human collabor= ation and automated execution of task reassignments/suspensions.</p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> </p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> - Continuous network optimization: Delivers ongoing tuni= ng recommendations for wireless, core, and cloud-network resources across d= iverse scenarios.</p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> </p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> - Automated recovery verification: Validates fault resol= ution by querying network and perceptual metrics via LLM-orchestrated API c= alls.</p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> </p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> Q2. What is the impact of an AI network management process to YANG informat= ion, service, network and data modelling?</p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> A: AI and legcay network management models belong= to different domains, the specific manangement modelling is aganosti= c to the AI network manangent process. In other words, AI system can proces= s any YANG information, service, network and data modelling. </p= > <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> </p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> <span style=3D"font-family: Arial, sans-serif; color: black;">[JMC] This ha= s exactly been my experience. I=92ve had good luck with a YANG-centri= c skill. Where things can get problematic is the token consumption XM= L and JSON produce when using open weight models with tighter context windows.</span></p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> </p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> Q3. Is MCP (<span style=3D"color: rgb(70, 120, 134);"><a href=3D"http= s://en.wikipedia.org/wiki/Model_Context_Protocol" data-outlook-id=3D"b0e5b1= 08-7d2c-47b4-8566-570773dc4e96" style=3D"color: rgb(70, 120, 134); margin-t= op: 0px; margin-bottom: 0px;"><u>https://en.wikipedia.org/wiki/Model_Contex= t_Protocol</u></a></span>) a suitable protocol between AI agents and IETF network management data sou= rces and system components?</p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> A: Yes, as an open standard that connects AI mode= ls to external data and tools, MCP enables AI assistants to securely read f= iles, query databases, and execute actions across different applications.&n= bsp; The likelihood of MCP being used between between AI agents and IETF network management data sources and system components is v= ery high. </p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> In addition, other approaches can be used, such as APIs exposed by network = controller, in this case, AI agents can call the APIs directly for network = device configuration or data collection. </p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> </p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> <span style=3D"font-family: Arial, sans-serif; color: black;">[JMC] Agree c= ompletely. This does work well. And MCP has considerable framew= ork backing.</span></p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> </p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> Q4, How does an AI agent interact with Network Digital Twin, Intent-Based N= etworking, SIMAP, Knowledge Graphs and YANG data in Message Brokers?</p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> A: It depends on the specific situation, there should be= no one-size-fits-all solution.</p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> </p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> <span style=3D"font-family: Arial, sans-serif; color: black;">[JMC] See abo= ve on a thought on digital twin. And, yeah, I don=92t think we=92ll h= ave a one-size fits all model.</span></p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> <span style=3D"font-family: Arial, sans-serif; color: black;"> </span>= </p> <p class=3D"MsoNormal" style=3D"margin: 0in; font-family: Aptos, sans-serif= ; font-size: 12pt;"> <span style=3D"font-family: Arial, sans-serif; color: black;">Joe</span></p= > </div> </div> </body> </html> --_000_CH2PR11MB8867C24122AC20D9089E1286B8FA2CH2PR11MB8867namp_-- --===============0736854182616703133== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: inline X19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX18KT1BTLUFSRUEg bWFpbGluZyBsaXN0IC0tIG9wcy1hcmVhQGlldGYub3JnClRvIHVuc3Vic2NyaWJlIHNlbmQgYW4g ZW1haWwgdG8gb3BzLWFyZWEtbGVhdmVAaWV0Zi5vcmcK --===============0736854182616703133==--