OPEN-SOURCE PROJECT
tool-prune
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.
- Stars
- 5
- Forks
- 0
- License
- MIT
- Last commit
- 2026-09-21
What Jev does here
Jev makes atomic decisions on tool selection (`choice`) and whether user intent requires open-ended creative generation (`noul`), with calibrated probability distributions.
Adds structured choices or scores to the workflow; performance and cost benefits have not been independently verified.
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.