> For the complete documentation index, see [llms.txt](https://docs.hablla.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.hablla.com/hablla-docs-es/informes/informes-y-logs-de-hablla/consumo-total-de-ia.md).
# Consumo total de IA
Informe completo de consumo de tokens y uso general de IA
#### Consumo total de IA
El informe de **Consumo total de IA** proporciona una visión completa sobre la utilización de los modelos de inteligencia artificial en la plataforma, permitiendo medir eficiencia, costos y rendimiento en diferentes contextos de aplicación.
Con este panel, puedes:
* Seguimiento del **cantidad de tokens consumidos** por modelo de IA (como GPT-3.5 Turbo, GPT-4.1, GPT-4o, entre otros).
* Comparar el uso entre diferentes **modelos y versiones**, identificando cuáles tienen mayor representatividad en las operaciones.
* Evaluar la **distribución porcentual del consumo**, garantizando una gestión equilibrada entre rendimiento y costo.
* Monitorear el tiempo de uso en **transcripciones de audio**, fundamental para medir esfuerzos en voice bots e interacciones omnicanal.
* Exportar informes en **PDF** o **CSV**, facilitando análisis externos e integraciones con controles financieros.
Este informe es esencial para gestores y analistas que desean **optimizar recursos de IA**, entendiendo la demanda real, proyectando costos futuros y alineando el uso de modelos con las necesidades del negocio y la experiencia del cliente.
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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.
## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.
Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:
```
GET https://docs.hablla.com/hablla-docs-es/informes/informes-y-logs-de-hablla/consumo-total-de-ia.md?ask=&goal=
```
`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
