Its tabular and indented character mimics formats these versions are by now experienced on, making it a great choice for prompting and data retrieval jobs.
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The CLI enables you to "fold" these nested keys into just one dot-notated path, flattening the hierarchy and saving tokens on indentation and braces.
Pro Suggestion: Tab delimiters often decrease the need to have for escaping rates and can lead to far better tokenization for numerical data. When you are processing substantial datasets, try --delimiter "t" to squeeze out just about every little bit of efficiency.
With this workflow, you fetch the data, extract just the active end users, convert it to the pipe-delimited TOON format, and acquire a stats report on what number of tokens you simply saved.
Pero por ahora, TOON es la mejor herramienta disponible para optimizar datos estructurados en aplicaciones de IA.
When you feed it a .json file, it assumes you want to encode it to TOON. Should you offer a .toon file, it switches to decoding manner to provide you with back JSON.
A diferencia de JSON, que fue creado para intercambio de datos entre aplicaciones Net, TOON está optimizado para reducir el consumo de TOON tokens, lo que se traduce en ahorros significativos tanto en costes de API como en capacidad de contexto.
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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.
Combina TOON con técnicas de prompt engineering. En lugar de incluir todos los datos, incluye un resumen en texto y los detalles completos en TOON solo cuando el LLM los necesite.
Syntactic Rigidity: JSON is very sensitive to JSON2TOON insignificant problems like misplaced commas or quotes. LLMs can certainly introduce this kind of problems, necessitating robust validation and parsing logic in apps.
The TOON CLI gets rid of the guesswork Along with the --stats flag. When encoding, this feature calculates the approximated token count and exhibits you the cost savings right away. This can be invaluable when you're budgeting for top-quantity LLM calls.
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