TSCG v1.2.0 — Public Release
TSCG v1.2.0 — Tool-Schema Compression Grammar
Deterministic tool-schema compiler that reduces LLM tool-definition token overhead by ~72%.
Key Results (TAB Benchmark — ~13,000 API calls, 12 models)
| Finding | Detail |
|---|---|
| Token savings | 50–72% on tool schemas |
| Small model recovery | 0–49% → 65–90% accuracy |
| Frontier compression | +5–11pp (Claude, GPT-4o, GPT-5.2) |
| BFCL validation | 108% Accuracy Retention Rate |
| Predictive model | R²=0.88 |
| Speed | <1ms, ~40,000× faster than LLMLingua-2 |
Highlights
- 1,200 LOC TypeScript, zero runtime dependencies
- Sub-millisecond compression, 27.7KB browser bundle
- Framework integrations: LangChain, MCP, Vercel AI SDK
- Chrome extension (Manifest V3)
- CLI tools: compress, benchmark, analyze
Install
npm install @tscg/corePaper
See attached PDF: TSCG: Token-Context Semantic Grammar for Causal Prompt Optimization in Large Language Models