Build a network info AI Agent
ReACT AI Agents
Reason, then Act
The agent considers the questions (Reasons) and what it will need to answer it
The agent determines - given a list of tools - what will help it answer the question
The tools are executed by the agent code and return their results
The agent synthesizes a final answer based on initial question and the tool results
What is Ollama?
Local LLMs Made Easy
An engine to easily download and execute LLMs
Includes a library of available models to choose from
Provides a convenient and easy-to-use REST API
Supports some of the popular "open" models:
Llama
Phi
Gemma
Model features include
Chat completion
Tool Calling
Embedding
Vision
Reference
https://github.com/CLEURNOC/ciscolive-potpourri/blob/main/automation/services/dhcp_bot.py -Design Guide for AI-ready infrastructure
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