Context-aware, artificial intelligence-driven network diagnostics and troubleshooting

A device, comprising:

• one or more processors;
• a network interface controller configured to provide access to a network;
• and
• a memory communicatively coupled to the one or more processors, wherein the memory comprises a network diagnostics logic configured to:
• receive a user input indicative of an issue associated with the network, wherein the user input comprises a plurality of logs associated with a plurality of network devices in the network;
• run the user input through a filter pipeline;
• derive at least one diagnostic context associated with the issue from an output of the filter pipeline;
• augment a prompt template based on the at least one diagnostic context;
• identify a root cause of the issue based on the augmented prompt template;
• and
• generate at least one recommendation based on the root cause to address the issue.

A method, comprising:

• receiving a user input indicative of an issue associated with a network, wherein the user input comprises a plurality of first logs associated with a plurality of network devices in the network;
• deriving at least one diagnostic context based on the user input;
• determining a network topology from the at least one diagnostic context;
• extracting network log data from a plurality of second logs based on at least one of the user input, the network topology, or configurable criteria;
• identifying, from the extracted network log data, a root cause of the issue;
• and
• generating at least one recommendation based on the root cause to address the issue.