AI agents are becoming essential in the networking industry for deploying, configuring, and monitoring networks due to their dynamic and autonomous capabilities. In a demonstrated use case, a multi-agent system consisting of four agents was employed to handle various tasks such as extracting installation steps, executing commands, generating network configurations, and verifying end-to-end connectivity. Although AI agents offer advanced reasoning and adaptability, they also present challenges like increased task completion time and varying output. Smaller AI models are suitable for simple tasks, whereas larger models are needed for complex network designs.
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