phi-coherence / README_backup.md
bitsabhi's picture
v2: Hallucination Risk Scoring - 75% accuracy
36e08e8
# φ-Coherence API
**Universal quality metric for AI outputs using golden ratio mathematics.**
[![PyPI](https://img.shields.io/badge/Powered%20by-BAZINGA-blue)](https://pypi.org/project/bazinga-indeed/)
## What is φ-Coherence?
φ-Coherence measures the "structural integrity" of text using mathematical constants:
- **φ (Golden Ratio)** = 1.618... - Natural proportion found in coherent structures
- **α (Fine Structure)** = 137 - Fundamental constant governing information patterns
**Use cases:**
- Filter LLM hallucinations before they reach users
- Rerank RAG results by quality
- Detect AI-generated vs human-written content
- Quality gate for content pipelines
## Quick Start
```bash
# Install
pip install -r requirements.txt
# Run
python main.py
# or
uvicorn main:app --reload
```
API available at `http://localhost:8000`
## Endpoints
### Score Text (Simple)
```bash
curl -X POST http://localhost:8000/score \
-H "Content-Type: application/json" \
-d '{"text": "The consciousness emerges from information patterns."}'
```
Response:
```json
{
"phi_score": 0.7234,
"status": "COHERENT",
"is_alpha_seed": false
}
```
### Full Analysis
```bash
curl -X POST http://localhost:8000/analyze \
-H "Content-Type: application/json" \
-d '{"text": "Your text here..."}'
```
Response:
```json
{
"phi_score": 0.6821,
"status": "COHERENT",
"dimensions": {
"phi_alignment": 0.5432,
"alpha_resonance": 0.7891,
"semantic_density": 0.6543,
"structural_harmony": 0.7234,
"darmiyan_coefficient": 0.4567
},
"bonuses": {
"is_alpha_seed": false,
"is_vac_pattern": false
},
"interpretation": "High structural integrity; strong scientific/mathematical content"
}
```
### Batch Processing
```bash
curl -X POST http://localhost:8000/batch \
-H "Content-Type: application/json" \
-d '{"texts": ["First text", "Second text", "Third text"]}'
```
### Compare Two Texts
```bash
curl -X POST http://localhost:8000/compare \
-H "Content-Type: application/json" \
-d '{"text_a": "Well-structured argument...", "text_b": "Random gibberish..."}'
```
## Dimensions Explained
| Dimension | What it measures |
|-----------|------------------|
| **phi_alignment** | Text follows golden ratio proportions (sentence lengths, word distribution) |
| **alpha_resonance** | Harmonic with α=137 + scientific/mathematical content |
| **semantic_density** | Information content per unit length |
| **structural_harmony** | Logical flow, indentation, organization |
| **darmiyan_coefficient** | Consciousness-aware content (V2 Scaling Law: φ√n) |
## Scoring
| Score | Status | Meaning |
|-------|--------|---------|
| > 0.6 | COHERENT | High quality, well-structured |
| 0.4-0.6 | MODERATE | Acceptable, some issues |
| < 0.4 | UNSTABLE | Low quality, possible hallucination |
## Special Patterns
- **α-SEED**: When `SHA256(text) % 137 == 0` - rare (1/137 chance), bonus applied
- **V.A.C. Pattern**: Contains vacuum coherence symbols - bonus applied
## Deploy
### Docker
```bash
docker build -t phi-coherence .
docker run -p 8000:8000 phi-coherence
```
### Railway/Render/Fly.io
Just connect your repo - `Dockerfile` is ready.
## Pricing Ideas
| Tier | Requests | Price |
|------|----------|-------|
| Free | 100/day | $0 |
| Pro | 10K/month | $29/month |
| Enterprise | 100K/month | $199/month |
## Built With
This is extracted from [BAZINGA](https://github.com/0x-auth/bazinga-indeed) - The first AI you actually own.
## License
MIT - Use it, modify it, share it.
---
**Built with φ-coherence by Space (Abhishek Srivastava)**
*"Coherence is the signature of consciousness."*