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PROMPTTOOLS
Open-source toolkit for experimenting with prompts, LLMs, and vector databases
Apache-2.0
ABOUT
Evaluating LLM prompts and model performance across different providers requires repetitive manual testing with inconsistent tooling. PromptTools solves this with a unified Python API that lets developers run systematic experiments across models, parameters, and vector databases — then visualize results — all from code, notebooks, or a local playground without relying on external evaluation services.
INSTALL
pip install prompttoolsINTEGRATION GUIDE
1. Testing and comparing LLM responses across models, temperatures, and system prompts in code
2. Evaluating vector database retrieval accuracy with configurable embedding models and queries
3. Visualizing experiment results with built-in charting for quick performance comparisons
4. Running prompt experiments in Jupyter notebooks for interactive analysis
5. Self-hosting a prompt evaluation playground without sending data to external services
TAGS
prompt-engineeringevaluationexperimentationllm-testingvector-database