gepromptet / promptolution
A unified, modular framework for prompt optimization
Why this job: works in the areas we cover, but does not say which job it does
What it does
- Implementation of many current prompt optimizers out of the box.
- Unified LLM backend supporting API-based models, Local LLMs, and vLLM clusters.
- Built-in response caching to save costs and parallelized inference for speed.
- Detailed logging and token usage tracking for granular post-hoc analysis.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 17 days ago
- Stars
- 160
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v2.3.0
- Released 49 days ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 50% closed
- 9 still open
- Pull requests
- 61 merged
- 4 waiting
- Releases
- 21
- 5 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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| linshenkx / prompt-optimizer | 41,312 | 3 days ago | Custom | Mac, Windows, Linux |
| XBigRoad / prompt-optimizer-studio | 215 | 2 days ago | AGPL-3.0 | No downloads |
| character-ai / prompt-poet | 1,163 | 9 months ago | MIT | No downloads |
More: languages, topics and project record
Languages
- Python 100%
Topics
- automated-prompt-engineering
- automated-prompt-optimization
- llm
- prompt
- prompt-engineering
- prompt-optimization
- prompt-tuning
Project record
- JobOther AI tools
- StatusListed
- Commits239
- Forks14
- Watching2
- Stars in 28 days+3
- CreatedJul 21, 2024
- First seen by usNov 7, 2026
- CheckedNov 8, 2026