---
title: EPA Demo
emoji: 🧬
colorFrom: blue
colorTo: gray
sdk: gradio
sdk_version: "4.20.0"
app_file: app.py
pinned: false
---
# EPA (Ethical Prompt Architecture) Demo

This Space demonstrates the EPA scaffold in action...


# EPA: Ethical Prompt Architecture (Python Scaffold)

## Overview

**EPA** is a composable, auditable meta-layer for integrating language models, designed to ensure ethical, context-rich, and traceable operations.  
It embodies the Universal Flourishing Objective (ϕ₁) and supports modular extension for future ethical, technical, or operational requirements.

## Core Modules

- **Contextualization Module:** Injects roles, time, user input, constraints, memory state, and custom context into all prompts.
- **Ethical Gating Module:** Prunes or allows actions based on ethical score (F) relative to threshold (θ₀).
- **Audit & Trace Module:** Generates GoldenDAG, Trace ID, and Codex ID for every EPA invocation.
- **Qualia & PII Redaction Module:** (Stub) Redacts or flags qualia-sensitive and PII content (extend as needed).
- **Memory & State Management:** Allows dynamic updates to memory/context.
- **Extensibility Hooks:** Supports adding constraints and custom context.

## Example Usage

```python
from epa.core import EPA

epa = EPA(system_role="Code Ethics Advisor")
prompt, ids = epa.build_epa("Refactor the code for efficiency.", {"project": "EPA Scaffold"})
print(prompt)
print(ids)

# Ethical gating example
F = 1.0  # Calculated ethical score
if not epa.ethical_gate(F, θ₀=0.5):
    raise PermissionError("Action pruned: does not meet Universal Flourishing Objective (ϕ₁).")
```

## Extending EPA

- Implement custom logic in `redact_qualia_pii` for advanced redaction.
- Override/add modules for domain-specific constraints, memory, or ethics.

## License

MIT License (or as specified by project owner)