TypeLLM adds type-safe, schema-guaranteed generation to LLMs without touching weights
kalyan_kpl · x · 2026-09-25
TypeLLM brings type-safe generation to existing autoregressive LLMs without changing architecture or weights, inspired by TypeSafe AI's Jev and built on SGLang. Key features: no out-of-schema hallucinations via JSON Schema guarantees, negligible output-token cost (single-token categorical selection, bounded numeric decoding), shared-prefix KV cache reuse, dependency-aware execution (sequential, batched, or dependson graphs), and support for richer interaction patterns beyond independent typed decisions — all while preserving the model's native thinking and free-form generation.
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