datadave22/PromptDescent

Production implementation of OPRO (Wei et al., 2023) — gradient-free prompt optimization via LLM-as-optimizer. Implements p* = argmax f(p) over discrete natural language space. Built from the paper, no prompt libraries. arXiv:2309.03409

23
/ 100
Experimental
No Package No Dependents
Maintenance 13 / 25
Adoption 1 / 25
Maturity 9 / 25
Community 0 / 25

How are scores calculated?

Stars

1

Forks

Language

TypeScript

License

MIT

Last pushed

Mar 28, 2026

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/datadave22/PromptDescent"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.