🧠 Prompt Language Format (PLF) - Syntax Highlighting

The official structured language for LLM prompt engineering. Stop messy Markdown prompts. Start building deterministic, safe, and robust AI agents.

🚀 Key Features

🎯 Knowledge Boundaries: Visual highlighting for @context ensuring the model stays within verified data.
⚡ Behavioral Directives: Instant recognition of NEVER, ALWAYS, IF, and MAX/MIN rules.
🛡️ Uncertainty Fallbacks: Explicit syntax for @fallback protocols to prevent hallucinations.
🔗 Reasoning Chains: Clearly defined @chain steps for step-by-step logic execution.
📦 Variable Support: Full highlighting for template variables {{ variables }}.

🛠️ Installation

Open VS Code.
Go to Extensions (Ctrl+Shift+X).
Search for "PLF" or "Prompt Language Format".
Click Install.

🎯 Why PLF over Markdown?

Markdown is for humans; PLF is for LLMs. This extension makes writing PLF as easy as writing code, providing the visual feedback needed to build production-grade prompts.

Feature	Prompt in .md	Prompt in PLF
Structure	Free-text, inconsistent	Rigid `@` sections
Validation	None (runtime error)	Pre-submission validation
Context	Mixed with instructions	Isolated `@context` boundary
Uncertainty	Model guesses	Explicit `@fallback` protocol

🌍 Community & Support

GitHub: github.com/antnet1094/plf
License: MIT

Empower your agents with PLF. Build the future of AI with structure.

Developed by AntNetworks