Question

Your team deploys a conversational AI agent that translates engineer requests into RESTCONF payloads for production switches. During testing, the same prompt 'set the MTU on GigabitEthernet1 to 9000' occasionally produces a payload that also modifies the interface description or omits the ietf-interfaces namespace. Compliance requires that identical requests always yield identical, reviewable configuration. Which change to the AI-based solution BEST addresses this reliability concern?

Accepted Answer

Set the LLM sampling temperature to 0 and constrain generation to a strict schema/tool-call function with fixed parameters, so the agent emits deterministic, validated payloads

Answer

Increase the LLM temperature so the model explores more phrasing variations and self-corrects malformed payloads

Answer

Add more example prompts to the system context and rely on the larger context window to stabilize output

Answer

Deploy the generated payloads directly to devices and roll back automatically if RESTCONF returns a 400 error