Implementation

Prompty has runtime implementations in multiple languages. Each follows the same pipeline architecture but uses language-native patterns and package managers.

Language	Status	Package
Python	✅ Stable (alpha)	prompty on PyPI
TypeScript	✅ Stable (alpha)	@prompty/core on npm
C#	✅ Alpha	Prompty.Core, Prompty.OpenAI, Prompty.Foundry, Prompty.Anthropic on NuGet
Rust	✅ Alpha	prompty, prompty-openai, prompty-foundry, prompty-anthropic on crates.io

Choosing a Runtime

All runtimes share the same .prompty file format — a prompt written for one runtime works with any other. The differences are in installation, API style, and available providers.

Python

• Most mature runtime with all features implemented
• Async support via _async variants of every function
• Entry-point-based plugin discovery
• Install: uv pip install prompty[all]

TypeScript

• Modular package architecture (@prompty/core + provider packages)
• Native async/await throughout
• Provider registration via side-effect imports
• Install: npm install @prompty/core@alpha @prompty/openai@alpha

C#

• Alpha packages available on NuGet: Prompty.Core, Prompty.OpenAI, Prompty.Foundry, Prompty.Anthropic
• Static Pipeline API with async-first design
• Same four-stage render → parse → execute → process architecture
• Install: dotnet add package Prompty.Core --prerelease

Rust

• Async-only runtime (Tokio) with zero-cost abstractions
• Modular crate architecture (prompty core + provider crates)
• Trait-based plugin system (Executor, Processor, Renderer, Parser)
• Full agent loop with events, cancellation, guardrails, and steering
• Install: cargo add prompty prompty-openai