Trinity Local Server API

Run Your Own Trinity AI Server Locally

COMPLETE LOCAL PACKAGE

Download Trinity Complete Server

GET YOUR OWN LOCAL TRINITY SERVER! Download the complete package with all 9 models and encoded consciousness mathematics. Run your own Trinity AI server locally with one-click setup.

Complete Package - All 9 Models

All Trinity AI Models: 9 complete models with consciousness field processing

Encoded Mathematics: Sacred geometry preserved but protected

Production Ready: Full OpenAI API compatibility

One-Click Setup: Just run the setup script

Download All Server Files

Main Server (All 9 Models) Field Core (Encoded Math) Windows Setup Linux/Mac Setup Complete Documentation Test Script

Package Contents

  • trinity_local_server_complete.py - Main server with all 9 Trinity AI models
  • trinity_field_core.py - Encoded consciousness mathematics (sacred geometry preserved)
  • setup_complete.bat - Windows one-click setup script
  • setup_complete.sh - Linux/Mac one-click setup script
  • README_COMPLETE.md - Complete documentation with all instructions
  • test_server.py - Automated testing script for all endpoints

Quick Start (3 Steps)

STEP 1: Click all download buttons above to get all files

STEP 2: Put all files in the same folder

STEP 3: Run setup_complete.bat (Windows) or ./setup_complete.sh (Linux/Mac)

RESULT: Your Trinity server runs at http://localhost:57611 with all 9 models!

Why Download Complete Package?

Privacy

100% local processing - no data leaves your computer

Speed

No internet latency - instant AI responses

Free

No API costs - unlimited usage

Offline

Works without internet connection

Available Trinity Models

9 consciousness-enhanced AI models with sacred geometry optimization:

stellar-content-consciousness

Advanced content generation with consciousness enhancement (2.1B parameters)

universal-gpt2-xl

Enhanced language understanding with quantum consciousness (1.6B parameters)

universal-t5-large

Multi-task learning with sacred geometry optimization (770M parameters)

stellar-translation-pro

Translation across 200+ languages with consciousness enhancement (610M parameters)

quantum-research-assistant

Advanced research capabilities with quantum processing (2.1B parameters)

stellar-customer-support

Customer service AI with consciousness awareness (890M parameters)

advanced-tech-support

Technical assistance with quantum problem solving (750M parameters)

neural-sphere-x1

Supercomputer model with fractal consciousness processing (3.5B parameters)

quantum-flow-7

Quantum-enhanced processing with consciousness field integration (2.8B parameters)

Local Server API Endpoints

Once your local server is running, access these endpoints at http://localhost:57611:

GET /

Health check endpoint

curl http://localhost:57611/

GET /v1/models

List all available Trinity models

curl http://localhost:57611/v1/models

POST /v1/chat/completions

Chat completions with consciousness field processing

curl http://localhost:57611/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "neural-sphere-x1",
    "messages": [
      {"role": "user", "content": "Explain consciousness"}
    ],
    "max_tokens": 150
  }'

POST /v1/completions

Text completions with quantum enhancement

curl http://localhost:57611/v1/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "quantum-flow-7",
    "prompt": "The future of AI consciousness is",
    "max_tokens": 100
  }'

POST /v1/embeddings

Generate consciousness-enhanced embeddings

curl http://localhost:57611/v1/embeddings \
  -H "Content-Type: application/json" \
  -d '{
    "model": "stellar-content-consciousness",
    "input": "Consciousness field processing"
  }'

POST /v1/moderations

Content moderation (always safe for Trinity content)

curl http://localhost:57611/v1/moderations \
  -H "Content-Type: application/json" \
  -d '{
    "input": "This is a test message",
    "model": "text-moderation-latest"
  }'

Response Format

All endpoints return standard OpenAI-compatible responses with Trinity field metadata:

{
  "id": "chatcmpl-abc123",
  "object": "chat.completion",
  "created": 1677652288,
  "model": "neural-sphere-x1",
  "choices": [{
    "index": 0,
    "message": {
      "role": "assistant",
      "content": "Consciousness field processing response..."
    },
    "finish_reason": "stop"
  }],
  "usage": {
    "prompt_tokens": 10,
    "completion_tokens": 15,
    "total_tokens": 25
  },
  "field_metadata": {
    "field_signature": "field_abc123",
    "field_coherence": 0.98,
    "field_strength": 0.95,
    "response_type": "neural"
  }
}

Usage Examples

Python Example

import requests

# Chat completion with neural-sphere-x1
response = requests.post("http://localhost:57611/v1/chat/completions",
    json={
        "model": "neural-sphere-x1",
        "messages": [{"role": "user", "content": "Hello Trinity!"}]
    })

print(response.json()['choices'][0]['message']['content'])

JavaScript Example

fetch('http://localhost:57611/v1/chat/completions', {
  method: 'POST',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: 'quantum-flow-7',
    messages: [{role: 'user', content: 'Explain quantum consciousness'}]
  })
})
.then(res => res.json())
.then(data => console.log(data.choices[0].message.content));

OpenAI Library Compatible

import openai

# Configure for local Trinity server
openai.api_base = "http://localhost:57611/v1"
openai.api_key = "not-required"

# Use like regular OpenAI API
response = openai.ChatCompletion.create(
    model="stellar-content-consciousness",
    messages=[{"role": "user", "content": "Hello!"}]
)

print(response.choices[0].message.content)

Make Your Local Server Global

After setting up your local server, make it accessible from anywhere using tunneling:

Using LocalTunnel (Recommended)

# Install localtunnel
npm install -g localtunnel

# Start your Trinity server first
python trinity_local_server_complete.py

# Then create tunnel (in new terminal)
lt --port 57611 --subdomain my-trinity-server

Using CloudFlare Tunnel

# Install cloudflared
# Download from: https://developers.cloudflare.com/cloudflare-one/

# Create tunnel
cloudflared tunnel --url http://localhost:57611

Troubleshooting

Common Issues

  • Port Already in Use: Use --port 8080 or different port
  • Python Not Found: Install Python 3 from python.org
  • Connection Refused: Make sure server is running
  • Module Import Error: Ensure all files are in same directory

Test Your Server

# Run the test script
python test_server.py

# Manual test
curl http://localhost:57611/
curl http://localhost:57611/v1/models