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Packt Publishing
Sif Baksh
Building AI Agents For Network Operations
N/A
2026
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Publisher > Packt Publishing
Author > Sif Baksh
Title > Building AI Agents For Network Operations
Issue > N/A
Year > 2026
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ISBN > 9781808346835
Pages > 235
Genre > Nonfiction Computers
Language > English
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Type > RETAIL
Media > TECH
Format > .epub
Section > eBook
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Published > 2026-07
Release > 2026-08-09
Disks > 03 x 10 MB
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- - -- [ D E S C R I P T I O N ] -- - -
Build AI-assisted network troubleshooting workflows that parse CLI output,
call approved tools, use MCP, and keep evidence visible for review Key
Features Build local LLM workflows for NetOps using Python, Ollama, and
validated CLI data Create troubleshooting agents that use memory, approved
tools, and clear evidence Package reusable network tools with MCP and plan
controlled read-only pilots Book Description Network troubleshooting is
full of clues, but they are often buried in noisy alerts, long CLI output,
missing topology context, and incomplete handoffs. Building AI Agents for
Network Operations shows how to use AI agents, LLMs, and network automation
in a controlled way, so engineers can get clearer evidence without giving
up validation or operational control. You will start with local LLM
workflows using Ollama and Python, then use a simple RACE prompt structure
to make repeatable NetOps tasks clearer, safer, and easier to review. You
will parse interface and BGP output into structured data, build a chatbot
that keeps troubleshooting context, and connect the model to approved tools
for device status, interfaces, reachability, topology, and BGP health. You
will then build an agentic troubleshooting loop, package reusable network
tools with MCP, and learn how to evaluate these workflows against logging,
approvals, observability, runbooks, feature flags, and read-only pilot
readiness. By the end of this book, you will have a practical path for
turning AI ideas into NetOps workflows that can be tested in a lab,
reviewed by your team, and adapted toward real-world network operations
with the right controls. What you will learn Run local LLM workflows with
Ollama and Python Shape reliable NetOps prompts using RACE Parse CLI and
BGP output into structured JSON Build chatbots that remember
troubleshooting context Connect AI agents to approved network tools Create
evidence-based troubleshooting loops Expose reusable network tools with MCP
Plan read-only pilots with safety controls Who this book is for This book
is for network engineers, NetOps engineers, NOC engineers, SREs, DevOps
engineers, and network automation professionals who want to apply AI to
troubleshooting without losing control. Basic networking and CLI
familiarity will help, beginner Python knowledge is useful for following
the labs.
- - -- [ R E T A I L U R L ] -- - -
https://www.kobo.com/us/en/ebook/building-ai-agents-for-network-operations
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