Automated root cause determination using a pre-trained generative model

A system for determining a root cause of an event using a pre-trained generative model, the system comprising:

• a processor;
• and
• a memory storing computer-executable instructions that when executed by the processor cause the system to execute operations comprising:
• retrieving a set of data including:
• event data of a system log, wherein the event data indicates an incident,
• function hierarchy graph data, and
• function information;
• generating a prompt for transmission to the pre-trained generative model, wherein the prompt includes grounding information and a question, the grounding information includes the event data, the function hierarchy graph data, and the function information, and the grounding information as a part of the prompt causes the pre-trained generative model to identify a root cause of an incident in a predetermined domain as described in the grounding information;
• receiving, in response to the transmission of the prompt, a natural language text from the pre-trained generative model, wherein the natural language text includes a description of the root cause of the incident with accuracy by restricting the root cause in the predetermined domain according to the grounding information;
• and
• displaying the description of the root cause.

A computer storage media storing computer-executable instructions that when executed by a processor cause a computer system to execute operations comprising:

• retrieving a set of data including:
• event data of a system log, wherein the event data indicates an incident,
• function hierarchy graph data, and
• function information;
• generating a prompt for transmission to a pre-trained generative model, wherein the prompt includes grounding information and a question, the grounding information includes the event data, the function hierarchy graph data, and the function information, and the grounding information as a part of the prompt causes the pre-trained generative model to identify a root cause of an incident in a predetermined domain as described in the grounding information;
• receiving, in response to the transmission of the prompt, a natural language text from the pre-trained generative model, wherein the natural language text includes a description of the root cause of the incident with accuracy by restricting the root cause in the predetermined domain according to the grounding information;
• and
• displaying the description of the root cause.