prompting-press

A typed, variant-aware prompt-template library. It turns typed inputs and a template into rendered text plus content-addressed provenance — nothing else (no I/O, no LLM calls, no request assembly). Rust, Python, and TypeScript all bind one compiled Rust engine, so rendered output is byte-identical across every language.

This is the Python distribution: a Pydantic-friendly PyO3 binding to that engine. Import name prompting_press; distribution name prompting-press.

Install

pip install prompting-press
uv add prompting-press          # in a uv project
uv pip install prompting-press  # uv's pip interface

Quick start

from prompting_press import Prompt
from pydantic import BaseModel

class Vars(BaseModel):
    company: str
    max_words: int

assistant = Prompt.from_yaml("""
name: assistant
role: system
body: "You are a support assistant for {{ company }}. Keep your replies under {{ max_words }} words."
variables:
  company: { type: string, trusted: true }
  max_words: { type: integer, trusted: true }
""")

result = assistant.render(Vars, data={"company": "Acme Robotics", "max_words": 50})
result.text           # "You are a support assistant for Acme Robotics. Keep your replies under 50 words."
result.template_hash  # 64-char SHA-256 of the template source
result.render_hash    # 64-char SHA-256 of the rendered output

Documentation

Full docs — getting started, API reference, template features, guides, and the CI agreement lint — are at https://prompting-press.github.io/.

Changelog

Per-version release notes — aggregated across every package — are in CHANGELOG.md.

License

MPL-2.0.

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prompting-press 0.5.0

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