keirp/automatic_prompt_engineer
None observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1409
- days_rel: n/a
- days_push: 856
- n_releases_24m: 0
Adoption not part of the score
1362 stars · 172 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Automatic Prompt Engineer (APE) is a Python library implementing the research method from 'Large Language Models Are Human-Level Prompt Engineers'. It automatically generates and selects natural language instructions by searching over LLM-proposed prompt candidates to maximize a scoring function.
Use cases
- automatically generate prompts for an LLM task
- find the best instruction for zero-shot classification
- improve few-shot learning by prepending optimized prompts
- replace manual prompt engineering with automated search
- steer a model toward truthfulness with optimized instructions
When to choose
- you want to automatically discover effective task instructions instead of handcrafting prompts
- you're reproducing or building on the APE research paper
- you have evaluation data and an OpenAI API key to score candidate prompts
When to avoid
- you need a production-grade prompt management platform with UI and versioning
- you don't have an OpenAI API key or evaluation datasets
- you need actively maintained tooling - the repo appears research-oriented with limited upkeep
Facets
library · maturity maintenance
prompt-engineering llm-inference machine-learning large-language-models artificial-intelligence python automatic-prompt-engineering instruction-induction research-code openai-api zero-shot-learning natural-language-processing
1 source
- readme: https://github.com/keirp/automatic_prompt_engineer · fetched 2026-08-28 · be8afac0cb56
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| keirp/automatic_prompt_engineer | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="keirp/automatic_prompt_engineer")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem