🤖 AI Summary
Show HN: an online TOON formatter and converter — a free, client-side tool that normalizes Token-Oriented Object Notation (TOON) payloads and emits a validated JSON mirror for downstream systems. TOON is a compact, token-efficient representation that preserves JSON structure while stripping excess punctuation and redundant keys; the formatter cleans spacing, normalizes numbers/quoting, enforces declared array lengths and field lists, and guarantees the output is parseable by the same JSON⇄TOON engine (so formatting is lossless). A before/after example shows how messy agent logs or hand-edited TOON become consistent, lightweight prompts while the tool also produces an auditable JSON copy.
This matters for prompt engineering, production LLM pipelines, and observability: teams can shrink prompt context without losing tabular or nested fidelity, catch structural mistakes early, and keep telemetry/logs in sync between JSON and TOON. The formatter is built to slot into Python/FastAPI stacks (via toon_format), Java/JVM services (alongside Jackson), serverless gateways, and CI jobs, letting you validate and normalize user-submitted payloads at the edge. Key technical takeaways: token savings from compact syntax, lossless round-trip conversion, client-side processing for privacy, array/row validation, and automation-friendly integration for reliable, production-ready prompts.
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