book

AI Networking Cookbook

Name: AI Networking Cookbook
Author: Eric Chou
ISBN: 9781805807995

by Eric Chou

January 2026

Intermediate to advanced

346 pages

5h 40m

English

Packt Publishing

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Preface
Who this book is forWhat this book coversTo get the most out of this bookGet in touchJoin Eric Live for Build Intelligent Networks with AIFree Benefits with Your BookHow to Unlock
The AI LLM Landscape and Key Parameters
Technical requirementsFree Benefits with Your Book1.1 Setting up an OpenAI environmentGetting readyHow to do it…How it works…There’s more…1.2 Experiment with OpenAI LLM models and model parametersGetting readyHow to do it…How it works…There’s more…1.3 Experimenting with OpenAI System messageGetting readyHow to do it…How it works…There’s more…1.4 Experimenting with OpenAI prompt engineering in chatGetting readyHow to do it…How it works…There’s more…1.5 Python scripts with OpenAIGetting readyHow to do it…How it works…There’s more…1.6 Local AI model OllamaGetting readyHow to do it…How it works…There’s more…1.7 Python scripts with OllamaGetting readyHow to do it… How it works…There’s more…SummaryGet This Book’s PDF Version and Exclusive Extras
OpenAI Recipes for Network Engineers
Technical requirements2.1 Using curl for OpenAI API communicationGetting readyHow to do it…How it works…There’s more…2.2 Using Postman with the OpenAI APIGetting readyHow to do it…How it works…There’s more…2.3 Fine-tuning OpenAI responsesGetting readyHow to do it…How it works…There’s more…2.4 Generating network topology with OpenAIGetting readyHow to do it…How it works…There’s more…2.5 Generating methods of procedure (MOPs) with OpenAIGetting readyHow to do it…How it works…There’s more…SummaryGet This Book’s PDF Version and Exclusive Extras
Prompt Engineering for Reliable Outputs
Technical requirements3.1 Giving directions to AI modelsGetting readyHow to do it… How it works… There’s more…See also3.2 Specifying return formatsGetting readyHow to do it…How it works… There’s more…3.3 Giving examplesGetting readyHow to do it… How it works… There’s more…3.4 Providing feedback Getting readyHow to do it… How it works… There’s more…See also3.5 Building prompts gradually Getting readyHow to do it… How it works… There’s more…The network engineer’s advantageSummaryGet This Book’s PDF Version and Exclusive Extras
Local AI LLM Playground in Network Engineering
Technical requirements4.1 Downloading Code Ollama modelsGetting readyHow to do it…How it works…There’s more…See also4.2 Fine-tuning LLM resourcesGetting readyHow to do it…How it works…There’s more…4.3 Generating network code examples with Code LlamaGetting readyHow to do it…How it works…There’s more…See also4.4 Using the Llama 2 Uncensored model for advanced code generationGetting readyHow to do it…How it works…There’s more…4.5 Tweaking models with custom network dataGetting readyHow to do it…How it works…There’s more…4.6 Using a local LLM for network documentation generationGetting readyHow to do it…How it works…There’s more…SummaryGet This Book’s PDF Version and Exclusive Extras
LangChain for Networking Tasks
What is LangChain all about?Technical requirements5.1 Installing and setting up LangChainGetting readyHow to do it…How it works…There’s more…5.2 Creating a network configuration analyzerGetting readyHow to do it…How it works…There’s more…5.3 Using prompt templates for reusabilityGetting readyHow to do it…How it works…There’s more…See also5.4 Combining models with simple chainsGetting readyHow to do it…How it works…There’s more…See also5.5 Using agents with LangChainGetting readyHow to do it…How it works…There’s more…SummaryGet This Book’s PDF Version and Exclusive Extras
Building an AI LLM Network Application Frontend with Streamlit
Technical requirements6.1 Installing and setting up StreamlitGetting readyHow to do it…How it works…There’s more…See also6.2 Creating your first visualizationGetting readyHow to do it…How it works…There’s more…See also6.3 Creating input fieldsGetting readyHow to do it…How it works…There’s more…See also6.4 Creating a navigation menuGetting readyHow to do it…How it works…There’s more…6.5 Organizing projects with foldersGetting readyHow to do it…How it works…There’s more…See alsoSummaryGet This Book’s PDF Version and Exclusive Extras
Building AI LLM Application Backends
Technical requirements7.1 Simple network AI APIsGetting readyHow to do it… How it works… There’s more…See also7.2 Adding device contextGetting readyHow to do it… How it works… There’s more…See also7.3 Adding database storageGetting readyHow to do it… How it works… There’s more…See also7.4 Simple web interfaceGetting readyHow to do it… How it works… There’s more…See also7.5 Docker deploymentGetting readyHow to do it… How it works… There’s more…SummaryGet This Book’s PDF Version and Exclusive Extras
Building a Network Co-Pilot
Technical requirements8.1 Model selection and evaluationGetting readyHow to do it…How it works…There’s more…See also8.2 Building the core AI engineGetting readyHow to do it…How it works…There’s more…See also8.3 Network knowledge integrationGetting readyHow to do it…How it works…There’s more…See alsoSummaryGet This Book’s PDF Version and Exclusive Extras
Network Monitoring and Performance Use Cases with MCP
MCP overviewMCP conceptsTechnical requirements9.1 AI-powered network health analysisGetting readyHow to do it…How it works…There’s more…See also9.2 Predictive network performance analysisGetting readyHow to do it…How it works…There’s more…See also9.3 Intelligent network optimization and auto-remediationGetting readyHow to do it…How it works…There’s more…SummaryGet This Book’s PDF Version and Exclusive Extras

Network Security through Vibe Coding
Technical requirements10.1 Setting up GitHub CopilotGetting readyHow to do it…How it works…There’s more…See also10.2 Setting up Claude CodeGetting readyHow to do it…How it works…There’s more…See also10.3 Conversational log analysis and threat detectionGetting readyHow to do it…How it works…There’s more…See also10.4 Rapid security script development for incident responseGetting readyHow to do it…How it works…There’s more…See alsoSummaryGet This Book’s PDF Version and Exclusive Extras
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Index

Content preview from AI Networking Cookbook

4 Local AI LLM Playground in Network Engineering

In previous chapters, we mostly used cloud-based Large Language Models (LLMs) with API access to leverage their capabilities. However, there are many reasons why a cloud-based AI LLM solution might not work in your environment:

Data sovereignty: In certain industries, such as healthcare, financial, and legal, you may prefer to house your data, including network information, in your environment, despite the promise of the provider not to use your data for training.
Compliance requirements: General Data Protection Regulation (GDPR), Health Insurance Portability and Accountability Act (HIPAA), and Sarbanes-Oxley Act (SOX) compliance require air-gapped or on-premises requirements.
Cost: Pay-per-token ...

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Publisher Resources

ISBN: 9781805807995

Cloud Computing

Data Engineering

Data Science

AI & ML

Programming Languages

Software Architecture

IT/Ops

Security

Design

Business

Soft Skills

AI Networking Cookbook

by Eric Chou

4

Local AI LLM Playground in Network Engineering

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.