Categories:
AI configuration by OB
The following information applies to both Spain and Brazil; there will not be separate blocks for each OB.
Introduction
LLMs UCs are configured and located within the aura-config-provision repository. See the TV LLM Search Preset (notice that in the url, the field [ob] needs to be replaced by [es] or [br])
LLM use cases have been designed to provide a fallback mechanism for user requests that currently return a ‘None’ intent or zero results, offering a second chance for classification and response generation.
Intent
intent.tv.recommend: This intent will be returned when the user seeks TV content recommendations and explicitly refers to entities such as genres, subgenres, titles, sports-related content, directors, or actors. Example: “¿Qué documentales me recomiendas?”.
Entities
Three different entities can be returned if mentioned by the user:
entities.channel: This entity will be returned whenever there is a mention of a TV channel or a third-party TV platform in the user’s request.entities.person: This entity will be returned whenever a proper name belonging to an actor, actress, director, driver, boxer, or other public figure is mentioned in the user’s request.entities.query: This entity will be returned when any relevant information for performing a search on the platform is mentioned in the user’s request. (e.g., TV titles, genres, subgenres)
LLM output format
Examples:
| Input | Output |
|---|---|
| “Recomiéndame algún documental sobre historia” | {"intent": "intent.tv.recommend", "entities.query": "documental||historia"} |
| “¿Qué películas de acción me recomiendas?” | {"intent": "intent.tv.recommend", "entities.query": "películas||acción"} |
Last modified October 2, 2025: feat: Create recognizer for video triage #AURA-29855 [RTM] (30baa1a1)