Reorganiza tus objetos para maximizar el uso de tablas TOON. Si tienes un objeto con múltiples arrays, considera separar cada array en su propia tabla TOON.
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The CLI allows you to "fold" these nested keys into one dot-notated route, flattening the hierarchy and preserving tokens on indentation and braces.
Aprovecha las Tablas: Esta es la killer function de TOON. Siempre que tengas listas de objetos similares, United states of america el formato de tabla para máximo ahorro.
Mayor Capacidad de Contexto: Con el mismo límite de tokens, puedes incluir más información en tus prompts. Esto es very important para aplicaciones que necesitan procesar documentos extensos o mantener conversaciones largas.
Yes, our free of charge JSON to TOON converter Instrument adequately escapes Specific people in strings to make certain valid output. This helps prevent mistakes when the info is processed by LLMs or other programs.
For those who feed it a .json file, it assumes you ought to encode it to TOON. When you provide a .toon file, it switches to decoding mode to give you back JSON.
A diferencia de JSON, que fue creado para intercambio de datos entre aplicaciones World wide web, TOON convert TOON está optimizado para reducir el consumo de tokens, lo que se traduce en ahorros significativos tanto en costes de API como en capacidad de contexto.
In this tutorial, we will have a look at ways to leverage the TOON Command Line Interface to integrate knowledge optimization specifically into your shell workflows.
Los agentes de IA que toman decisiones basadas en múltiples fuentes de datos se benefician enormemente de TOON, ya que pueden procesar más información en su contexto de trabajo.
TOON representa una evolución all-natural: un formato que reconoce que los LLMs son ahora consumidores primarios de datos estructurados, no solo intermediarios.
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The TOON CLI eliminates the guesswork With all the --stats flag. When encoding, this option calculates the believed token depend and demonstrates you the personal savings quickly. That is priceless when you find yourself budgeting for high-quantity LLM calls.
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