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Universal LLM pipeline tuning workbench — systematically optimize prompts, models, and inference parameters through cached experiments, pluggable scoring, and agent-driven sweeps via MCP.
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John Lightner 8208fe6f9f Initial commit
2026-04-07 01:25:10 -06:00
README.md Initial commit 2026-04-07 01:25:10 -06:00

README.md

promptlooper

Universal LLM pipeline tuning workbench — systematically optimize prompts, models, and inference parameters through cached experiments, pluggable scoring, and agent-driven sweeps via MCP.