toon

You can reduce JSON token usage by converting standard JSON data into a compact TOON notation. This format minimizes token consumption in AI prompts, making large API payloads significantly cheaper to transmit and easier for LLMs to process.

The best way to compress JSON data for AI prompts is using the Toon CLI to encode standard JSON into compact TOON notation. You can convert files directly or pipe data streams to generate compressed representations for your LLM workflows.

Yes, the Toon CLI supports decode modes to convert compact TOON notation back into standard JSON. You can easily reverse the encoding process to restore your original JSON data structure when needed.

Yes, the Toon CLI provides token statistics to measure token reduction when converting JSON to compact TOON notation. This allows you to verify exactly how much token economy you gain before passing data to LLM prompts.

Yes, the Toon CLI supports optional key folding with a delimiter feature to control representation. This allows you to further compact JSON keys and optimize token savings when encoding large data payloads.

You should avoid compact encoding when your downstream system requires strict JSON syntax or lacks a compatible TOON decoder. Since TOON is a specialized notation, target systems must support decoding to interpret the compressed payload correctly.