Product Launchllmprompt engineeringrag
Prompt Refiner Reduces LLM Prompt Token Costs
8.0
Prompt Refiner is a lightweight Python library that cleans and optimizes LLM inputs to reduce token usage and API costs. It performs HTML stripping, whitespace normalization, Unicode fixing, deduplication, PII redaction and smart truncation, and supports a pipe-style API for composition. Benchmarks across SQuAD and RAG tests report 4–15% average token reductions and up to 17–74% per-case savings, while adding <0.5ms per 1k tokens overhead.
Key Points
- 1Offers HTML stripping, whitespace normalization, deduplication, PII redaction, and smart token truncation.
- 2Reduces token usage and API costs—benchmarks show 4–15% average and up to 74% per case.
- 3Integrates via Python pipe API, zero dependencies, negligible latency (<0.5ms per 1k tokens).
Scoring Rationale
Practical, production-ready tool with measurable cost reductions; limited novelty since it consolidates existing input-cleaning techniques.
Sources
Public references used for this report.
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