Prompt engineering framework for humans
Project description
Promplate
</Promplate/> = <template> // prompt
Promplate is a prompting framework focusing on developing experience. However, it can also be a super-convenient SDK for simple LLM calls. Promplate progressively enhance your prompting workflow. And it values flexibility as well as perfect conventions. Try online
Installation
pip install promplate
Promplate supports both CPython and PyPy, from 3.8
to 3.12
. It even supports running in browsers through wasm implementations of python.
Documentation
You can visit our official docs site at docs.py.promplate.dev.
IDE Support 🌹
Promplate is fully typed, which means static type checker will find bugs correctly (if you use pyright
for type checking).
We recommend using VS Code as your IDE when coding with promplate, because it natively uses pyright.
The language design of promplate is similar to Jinja2
. So you can use the .j2
file extension for template files for syntax highlight.
Development
- use
poetry
to manage dependencies. - use
isort
to sort import statements. - use
black
to format code. - use
pyright
to check type annotations.
Development should be done on dev
branch, using >=3.10
language features. The master
branch is used for py3.8
compatible releases.
Promplate is well tested with pytest
. GitHub Actions are used to run tests and linting. And there are test results continually generated on Vercel(py3.9) and Netlify(py3.8). There is a coverage report too.
Future Features (or TODOs?)
- more documentation
- javascript implementation
- improved error handling
- display compiled code when error occurs through
linecache
ortempfile
(default)
- display compiled code when error occurs through
Project details
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