tool-prune
hemanth
Calibrated tool selection and schema pruning for AI agents. Dual-engine: zero-dependency offline TurboQuant or TypeSafe System One (Jev). Prunes candidate MCP tools and schemas down to the relevant set before calling LLMs to eliminate hallucinations and save tokens.
- License
- MIT
- GitHub Stars
- 5
- Source reviewed
- —
Where Jev makes a decision
Jev makes atomic decisions on tool selection (`choice`) and whether user intent requires open-ended creative generation (`noul`), with calibrated probability distributions.
What this project offers
Adds structured choices or scores to the workflow; performance and cost benefits have not been independently verified.
Review scope
Author and repository text is preserved where clear; missing languages are enriched automatically. Checks establish source-level Jev integration, not runtime, safety, or performance validation.
Sources and implementation
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