Decide with Jev: Three Questions in One Request with the Laravel AI SDK
How to minimize API roundtrips and accelerate agent decision matrices by batching multiple reasoning questions into single structured prompts.
Decide with Jev: Three Questions in One Request with the Laravel AI SDK
When designing customer-support triage systems or automated moderation bots, issuing separate LLM queries for classification, sentiment, and urgency wastes money and increases response latency.
Batching Decisions with Structured Outputs
By defining a single composite schema, you can extract multiple orthogonal decisions in a single network roundtrip:
use LaravelAi\Facades\Ai;
$assessment = Ai::model('gpt-4o-mini')
->schema([
'sentiment' => 'enum:positive,neutral,negative',
'requires_escalation' => 'boolean',
'primary_topic' => 'enum:billing,technical,feature_request',
'suggested_reply' => 'string',
])
->prompt("User ticket: {$ticketContent}")
->generate();
// Direct access to all decisions in one roundtrip
if ($assessment->requires_escalation) {
Notification::route('slack', '#critical-support')->notify(...);
}
This technique cuts API costs by over 60% while drastically improving user-facing responsiveness.