Prompt engineering framework for humans


Keywords
prompt, template, nlp, llm, jinja2, langchain, prompt-engineering, template-engine
License
MIT
Install
pip install promplate==0.3.4.9

Documentation

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 3.13. 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 or tempfile (default)