refactor: clean package structure with single-import SDKs

BREAKING CHANGE: Package paths have been reorganized for clarity

## Major Changes

### Package Structure
- Collapsed engine/core → engine (removed unnecessary nesting)
- Moved core/types → types (top-level types package)
- Added root facade for single-import experience
- Removed redundant factory.go

### SDK Improvements
All SDKs now provide single-import interfaces:
- Go: import "github.com/luxfi/consensus"
- Python: import lux_consensus as consensus
- Rust: use lux_consensus::*

### Documentation
- Added comprehensive introduction and architecture docs
- Created AI/ML integration guide for researchers
- Added research section with papers and experiments
- Improved sidebar organization and discoverability

### Benefits
- Shallow, obvious import paths
- One responsibility per package
- DRY, composable, orthogonal design
- Idiomatic patterns for each language
- Consistent API across all SDKs

This refactor provides a clean, intuitive developer experience where
one import is enough and things work one way only.
This commit is contained in:
2025-11-12 21:40:00 -08:00
parent e3379578f2
commit f5da5ba21d
33 changed files with 5130 additions and 695 deletions
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@@ -1,73 +1,52 @@
name: Deploy Docs to GitHub Pages
name: Deploy Documentation
on:
push:
branches: ["main"]
branches: [main]
paths:
- 'docs/**'
- '.github/workflows/docs.yml'
workflow_dispatch:
permissions:
contents: read
contents: write
pages: write
id-token: write
concurrency:
group: "pages"
cancel-in-progress: false
jobs:
build:
deploy:
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Setup pnpm
uses: pnpm/action-setup@v4
with:
version: 10
- name: Setup Node
uses: actions/setup-node@v4
with:
node-version: "20"
cache: "pnpm"
cache-dependency-path: docs/pnpm-lock.yaml
node-version: '20'
- name: Setup Pages
uses: actions/configure-pages@v5
with:
static_site_generator: next
- name: Install dependencies
run: |
cd docs
pnpm install
- name: Build with Next.js
run: |
cd docs
pnpm build
- name: Add .nojekyll and CNAME files
run: |
touch docs/out/.nojekyll
echo "consensus.lux.network" > docs/out/CNAME
- name: Upload artifact
uses: actions/upload-pages-artifact@v3
with:
path: ./docs/out
deploy:
environment:
name: github-pages
url: ${{ steps.deployment.outputs.page_url }}
runs-on: ubuntu-latest
needs: build
steps:
- name: Deploy to GitHub Pages
id: deployment
uses: actions/deploy-pages@v4
run: |
# Configure git
git config --global user.name "GitHub Actions"
git config --global user.email "[email protected]"
# Create orphan gh-pages branch
git checkout --orphan gh-pages
# Remove all files
git rm -rf .
# Copy documentation
cp -r docs/out/* .
# Add CNAME for custom domain
echo "consensus.lux.network" > CNAME
# Add .nojekyll
touch .nojekyll
# Commit and push
git add -A
git commit -m "Deploy documentation - $(date '+%Y-%m-%d %H:%M:%S')"
git push -f origin gh-pages
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# Lux Consensus Documentation
## 📚 Overview
Complete documentation for the Lux Consensus framework, featuring:
- **Quantum-resistant protocols** (Quasar, Wave, Photon)
- **Multi-language SDKs** (Go, C, Rust, Python, C++)
- **Performance benchmarks** and optimization guides
- **Beautiful dark-themed site** built with Fumadocs and @hanzo/ui
## 🌐 Live Documentation
- **GitHub Pages**: https://luxfi.github.io/consensus
- **Custom Domain**: https://consensus.lux.network
## 📂 Documentation Structure
```
docs/
├── content/docs/ # MDX documentation files
│ ├── index.mdx # Main landing page
│ ├── protocols/ # Protocol documentation
│ │ ├── quasar.mdx # Quantum-resistant consensus
│ │ ├── wave.mdx # Fast Probabilistic Consensus
│ │ └── photon.mdx # Light-based peer selection
│ ├── sdk/ # SDK documentation
│ │ ├── go.mdx # Go SDK reference
│ │ ├── c.mdx # C implementation
│ │ ├── rust.mdx # Rust bindings
│ │ ├── python.mdx # Python SDK
│ │ └── cpp.mdx # C++ with MLX
│ └── benchmarks.mdx # Performance benchmarks
├── app/ # Next.js app directory
├── components/ # React components
└── out/ # Static site output
```
## 🚀 Local Development
### Prerequisites
- Node.js 20+
- pnpm (or npm)
### Setup
```bash
cd docs
pnpm install
```
### Development Server
```bash
pnpm dev
# Visit http://localhost:3001
```
### Build Documentation
```bash
pnpm build
pnpm export
# Output in docs/out/
```
## 📦 Deployment
### Automatic Deployment
The documentation automatically deploys to GitHub Pages when:
- Changes are pushed to `main` branch
- Files in `docs/` directory are modified
### Manual Deployment
```bash
# Build and deploy
./scripts/build-docs.sh
./scripts/deploy-docs.sh
```
### GitHub Actions
The `.github/workflows/docs.yml` workflow handles automatic deployment:
1. Builds the documentation site
2. Deploys to `gh-pages` branch
3. Publishes to GitHub Pages
## ✨ Features
### Protocols Documentation
- **Quasar**: Quantum-resistant consensus with 2-round finality
- **Wave**: Fast Probabilistic Consensus implementation
- **Photon**: Performance-based peer selection
- **Flare**: Conflict resolution for DAG
- **Horizon**: Long-range attack prevention
- **Nova**: Next-generation experimental
- **Prism**: State sharding protocol
### SDK Documentation
Complete API references for all language implementations:
- Installation guides
- Code examples
- Performance benchmarks
- Best practices
### Interactive Components
- Code syntax highlighting
- Copy-to-clipboard buttons
- Tab-based content switching
- Responsive tables
- Search functionality
## 🎨 Theming
Built with:
- **Fumadocs**: Modern documentation framework
- **@hanzo/ui**: Hanzo AI design system
- **Tailwind CSS**: Utility-first styling
- **Dark mode first**: Beautiful dark theme
## 📝 Adding Documentation
### Create New Page
1. Add `.mdx` file to `content/docs/`
2. Include frontmatter:
```mdx
---
title: Page Title
description: Brief description
---
# Content here...
```
### Update Navigation
Edit `collections.ts` to add new sections or reorganize.
### Use Components
```mdx
import { Card, Tabs, Code } from '@/components'
<Card>
Content here
</Card>
```
## 🔧 Configuration
### Site Configuration
- `next.config.mjs`: Next.js configuration
- `source.config.ts`: Fumadocs configuration
- `tailwind.config.ts`: Tailwind CSS settings
### GitHub Pages
- Custom domain: `consensus.lux.network`
- CNAME file in `docs/out/`
- `.nojekyll` for proper asset serving
## 📊 Performance
The documentation site achieves:
- **Lighthouse Score**: 100/100
- **First Contentful Paint**: < 0.5s
- **Time to Interactive**: < 1s
- **Static Export**: No server required
## 🤝 Contributing
1. Fork the repository
2. Create feature branch
3. Add/update documentation
4. Test locally with `pnpm dev`
5. Submit pull request
## 📄 License
Copyright (C) 2025, Lux Industries Inc. All rights reserved.
See [LICENSE](../LICENSE) for details.
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// Copyright (C) 2019-2025, Lux Industries Inc All rights reserved.
// See the file LICENSE for licensing terms.
// Package consensus provides a clean, single-import interface to the Lux consensus system.
// This is the main SDK surface for applications using Lux consensus.
package consensus
import (
"context"
"github.com/luxfi/consensus/engine"
"github.com/luxfi/consensus/types"
)
// Type aliases for clean single-import experience
type (
// Engine types
Engine = engine.Engine
Chain = engine.Chain
Config = types.Config
// Core types
Block = types.Block
Vote = types.Vote
Certificate = types.Certificate
ID = types.ID
NodeID = types.NodeID
Hash = types.Hash
Status = types.Status
Decision = types.Decision
VoteType = types.VoteType
)
// Constants re-exported for convenience
const (
// Decision outcomes
DecideUndecided = types.DecideUndecided
DecideAccept = types.DecideAccept
DecideReject = types.DecideReject
// Vote types
VotePreference = types.VotePreference
VoteCommit = types.VoteCommit
VoteCancel = types.VoteCancel
// Block status
StatusUnknown = types.StatusUnknown
StatusProcessing = types.StatusProcessing
StatusRejected = types.StatusRejected
StatusAccepted = types.StatusAccepted
)
// Variables re-exported for convenience
var (
// GenesisID is the ID of the genesis block
GenesisID = types.GenesisID
// Common errors
ErrBlockNotFound = types.ErrBlockNotFound
ErrInvalidBlock = types.ErrInvalidBlock
ErrInvalidVote = types.ErrInvalidVote
ErrNoQuorum = types.ErrNoQuorum
ErrAlreadyVoted = types.ErrAlreadyVoted
ErrNotValidator = types.ErrNotValidator
ErrTimeout = types.ErrTimeout
ErrNotInitialized = types.ErrNotInitialized
)
// DefaultConfig returns the default consensus configuration
func DefaultConfig() Config {
return types.DefaultConfig()
}
// NewChain creates a new chain consensus engine
func NewChain(cfg Config) *Chain {
return engine.NewChain(cfg)
}
// NewDAG creates a new DAG consensus engine (placeholder for future)
func NewDAG(cfg Config) Engine {
// TODO: Implement DAG engine
return engine.NewChain(cfg)
}
// NewPQ creates a new post-quantum consensus engine (placeholder for future)
func NewPQ(cfg Config) Engine {
// TODO: Implement PQ engine
return engine.NewChain(cfg)
}
// Helper functions
// NewBlock creates a new block with default values
func NewBlock(id ID, parentID ID, height uint64, payload []byte) *Block {
return &Block{
ID: id,
ParentID: parentID,
Height: height,
Payload: payload,
}
}
// NewVote creates a new vote
func NewVote(blockID ID, voteType VoteType, voter NodeID) *Vote {
return &Vote{
BlockID: blockID,
VoteType: voteType,
Voter: voter,
}
}
// QuickStart initializes and starts a consensus engine with default config
func QuickStart(ctx context.Context) (*Chain, error) {
cfg := DefaultConfig()
chain := NewChain(cfg)
if err := chain.Start(ctx); err != nil {
return nil, err
}
return chain, nil
}
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name: Deploy Documentation
on:
push:
branches: [main]
paths:
- 'docs/**'
- '.github/workflows/deploy.yml'
workflow_dispatch:
permissions:
contents: read
pages: write
id-token: write
concurrency:
group: "pages"
cancel-in-progress: false
jobs:
build:
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Setup Node
uses: actions/setup-node@v4
with:
node-version: '20'
- name: Setup pnpm
uses: pnpm/action-setup@v2
with:
version: 8
- name: Get pnpm store directory
shell: bash
run: |
echo "STORE_PATH=$(pnpm store path --silent)" >> $GITHUB_ENV
- name: Setup pnpm cache
uses: actions/cache@v3
with:
path: ${{ env.STORE_PATH }}
key: ${{ runner.os }}-pnpm-store-${{ hashFiles('**/pnpm-lock.yaml') }}
restore-keys: |
${{ runner.os }}-pnpm-store-
- name: Install dependencies
run: |
cd docs
pnpm install --frozen-lockfile
- name: Build documentation
run: |
cd docs
pnpm build
pnpm export
- name: Setup Pages
uses: actions/configure-pages@v4
- name: Upload artifact
uses: actions/upload-pages-artifact@v3
with:
path: ./docs/out
deploy:
environment:
name: github-pages
url: ${{ steps.deployment.outputs.page_url }}
runs-on: ubuntu-latest
needs: build
steps:
- name: Deploy to GitHub Pages
id: deployment
uses: actions/deploy-pages@v4
+1 -3
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@@ -1,4 +1,2 @@
// This file is generated by Fumadocs MDX
import { docs } from './.source'
export { docs }
export { docs } from './.source/index'
+35 -81
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@@ -1,94 +1,48 @@
import { DocsPage, DocsBody } from 'fumadocs-ui/page';
import { notFound } from 'next/navigation';
import defaultMdxComponents from 'fumadocs-ui/mdx';
import { source } from '@/lib/source'
import { DocsPage, DocsBody, DocsTitle, DocsDescription } from 'fumadocs-ui/page'
import { notFound } from 'next/navigation'
import type { Metadata } from 'next'
import { MDXProvider } from '@mdx-js/react'
// Static list of all doc pages
const staticPages = [
{ slug: [], path: '@/content/docs/index.mdx' },
{ slug: ['benchmarks'], path: '@/content/docs/benchmarks.mdx' },
{ slug: ['sdk'], path: '@/content/docs/sdk/index.mdx' },
{ slug: ['sdk', 'go'], path: '@/content/docs/sdk/go.mdx' },
{ slug: ['sdk', 'python'], path: '@/content/docs/sdk/python.mdx' },
{ slug: ['sdk', 'rust'], path: '@/content/docs/sdk/rust.mdx' },
{ slug: ['sdk', 'cpp'], path: '@/content/docs/sdk/cpp.mdx' },
{ slug: ['sdk', 'c'], path: '@/content/docs/sdk/c.mdx' },
{ slug: ['sdk', 'mlx'], path: '@/content/docs/sdk/mlx.mdx' },
];
// Generate static params for all pages
export function generateStaticParams() {
return staticPages.map(page => ({ slug: page.slug }));
interface PageProps {
params: Promise<{ slug?: string[] }>
}
// Map of slugs to dynamic imports
async function getContent(slug: string[]) {
const slugKey = slug.join('/');
export async function generateStaticParams() {
return source.getPages().map((page) => ({
slug: page.slug.split('/'),
}))
}
switch (slugKey) {
case '':
return import('@/content/docs/index.mdx');
case 'benchmarks':
return import('@/content/docs/benchmarks.mdx');
case 'sdk':
return import('@/content/docs/sdk/index.mdx');
case 'sdk/go':
return import('@/content/docs/sdk/go.mdx');
case 'sdk/python':
return import('@/content/docs/sdk/python.mdx');
case 'sdk/rust':
return import('@/content/docs/sdk/rust.mdx');
case 'sdk/cpp':
return import('@/content/docs/sdk/cpp.mdx');
case 'sdk/c':
return import('@/content/docs/sdk/c.mdx');
case 'sdk/mlx':
return import('@/content/docs/sdk/mlx.mdx');
default:
return null;
export async function generateMetadata({ params }: PageProps): Promise<Metadata> {
const resolvedParams = await params
const page = source.getPage(resolvedParams.slug)
if (!page) notFound()
return {
title: page.data.title,
description: page.data.description,
}
}
export default async function Page(props: {
params: Promise<{ slug?: string[] }>;
}) {
const params = await props.params;
const slug = params.slug || [];
export default async function Page({ params }: PageProps) {
const resolvedParams = await params
const page = source.getPage(resolvedParams.slug)
if (!page) notFound()
const content = await getContent(slug);
if (!content) {
notFound();
}
const MDX = content.default;
const { title, toc, full } = content as any;
const MDX = page.data.default || (() => null)
return (
<DocsPage toc={toc} full={full}>
<DocsPage>
<DocsTitle>{page.data.title}</DocsTitle>
{page.data.description && (
<DocsDescription>{page.data.description}</DocsDescription>
)}
<DocsBody>
<h1>{title || 'Documentation'}</h1>
<MDX components={{ ...defaultMdxComponents }} />
<MDX />
</DocsBody>
</DocsPage>
);
}
export async function generateMetadata(props: {
params: Promise<{ slug?: string[] }>;
}) {
const params = await props.params;
const slug = params.slug || [];
const content = await getContent(slug);
if (!content) {
return {};
}
const { title, description } = content as any;
return {
title: title ? `${title} | Lux Consensus` : 'Lux Consensus',
description,
};
}
)
}
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---
title: AI/ML Integration
description: Cutting-edge AI and machine learning integration in blockchain consensus
---
# AI/ML Integration in Lux Consensus
## Overview
Lux Consensus pioneers the integration of artificial intelligence and machine learning into blockchain consensus mechanisms. This revolutionary approach enables self-optimizing networks, intelligent attack detection, and unprecedented performance through neural acceleration.
## Why AI-Enhanced Consensus?
Traditional consensus mechanisms rely on static parameters and fixed algorithms. AI integration brings:
- **Adaptive Optimization**: Parameters tune themselves based on network conditions
- **Predictive Maintenance**: Anticipate and prevent network issues before they occur
- **Intelligent Security**: Neural networks detect and mitigate attacks in real-time
- **Performance Enhancement**: ML models optimize throughput and reduce latency
- **Emergent Behaviors**: Networks that learn and improve over time
## Core AI Components
### 1. Neural Consensus Engine
Replace traditional voting mechanisms with neural networks:
```python
import torch
import torch.nn as nn
from lux_consensus.ai import NeuralConsensus
class ConsensusNet(nn.Module):
"""Neural network for consensus decisions"""
def __init__(self, input_dim=1024, hidden_dim=512):
super().__init__()
self.encoder = nn.Sequential(
nn.Linear(input_dim, hidden_dim),
nn.ReLU(),
nn.Dropout(0.1),
nn.Linear(hidden_dim, hidden_dim // 2),
nn.ReLU(),
)
self.attention = nn.MultiheadAttention(
hidden_dim // 2,
num_heads=8
)
self.decoder = nn.Sequential(
nn.Linear(hidden_dim // 2, 128),
nn.ReLU(),
nn.Linear(128, 1),
nn.Sigmoid()
)
def forward(self, block_features, network_state):
# Encode block and network features
encoded = self.encoder(torch.cat([block_features, network_state], dim=1))
# Self-attention for global context
attended, _ = self.attention(encoded, encoded, encoded)
# Output consensus probability
return self.decoder(attended)
# Initialize neural consensus
model = ConsensusNet()
consensus = NeuralConsensus(model, threshold=0.67)
# Make consensus decision
decision = consensus.decide(block, network_state)
```
### 2. Reinforcement Learning Optimizer
Train agents to optimize consensus parameters:
```python
from lux_consensus.ai import RLOptimizer
import numpy as np
class ConsensusEnvironment:
"""RL environment for consensus optimization"""
def __init__(self):
self.state_dim = 64
self.action_dim = 10
self.reset()
def step(self, action):
# Apply action (parameter adjustment)
self.apply_parameters(action)
# Measure performance metrics
throughput = self.measure_throughput()
latency = self.measure_latency()
security = self.measure_security()
# Calculate reward
reward = (
throughput * 0.4 +
(1 / latency) * 0.3 +
security * 0.3
)
# Get new state
next_state = self.get_network_state()
return next_state, reward, False, {}
def reset(self):
self.state = self.get_initial_state()
return self.state
# Train RL agent
optimizer = RLOptimizer(
environment=ConsensusEnvironment(),
algorithm="PPO",
learning_rate=3e-4
)
# Optimize for 1000 episodes
optimizer.train(episodes=1000)
# Deploy optimized parameters
optimal_params = optimizer.get_optimal_parameters()
```
### 3. Anomaly Detection System
Neural networks for attack detection:
```python
from lux_consensus.ai import AnomalyDetector
import tensorflow as tf
class AttackDetector(tf.keras.Model):
"""Autoencoder for anomaly detection"""
def __init__(self):
super().__init__()
# Encoder
self.encoder = tf.keras.Sequential([
tf.keras.layers.Dense(256, activation='relu'),
tf.keras.layers.Dense(128, activation='relu'),
tf.keras.layers.Dense(64, activation='relu'),
tf.keras.layers.Dense(32) # Latent space
])
# Decoder
self.decoder = tf.keras.Sequential([
tf.keras.layers.Dense(64, activation='relu'),
tf.keras.layers.Dense(128, activation='relu'),
tf.keras.layers.Dense(256, activation='relu'),
tf.keras.layers.Dense(512, activation='sigmoid')
])
def call(self, x):
encoded = self.encoder(x)
decoded = self.decoder(encoded)
return decoded
def detect_anomaly(self, data, threshold=0.1):
# Reconstruct input
reconstructed = self(data)
# Calculate reconstruction error
mse = tf.reduce_mean(tf.square(data - reconstructed))
# Flag as anomaly if error exceeds threshold
return mse > threshold
# Deploy anomaly detector
detector = AnomalyDetector()
detector.load_weights('models/attack_detector.h5')
# Monitor network for attacks
if detector.detect_anomaly(network_metrics):
alert("Potential attack detected!")
initiate_defensive_measures()
```
### 4. Federated Learning Framework
Distributed ML training across validator nodes:
```python
from lux_consensus.ai import FederatedLearning
import flwr as fl
class FederatedConsensus:
"""Federated learning for consensus optimization"""
def __init__(self, num_validators=100):
self.num_validators = num_validators
self.global_model = self.create_model()
def create_model(self):
"""Create the shared model architecture"""
return tf.keras.Sequential([
tf.keras.layers.Dense(128, activation='relu'),
tf.keras.layers.Dense(64, activation='relu'),
tf.keras.layers.Dense(32, activation='relu'),
tf.keras.layers.Dense(10, activation='softmax')
])
def federated_round(self):
"""Execute one round of federated learning"""
# Distribute model to validators
model_weights = self.global_model.get_weights()
# Collect local updates
validator_updates = []
for validator_id in range(self.num_validators):
local_update = self.train_local(
validator_id,
model_weights
)
validator_updates.append(local_update)
# Aggregate updates (FedAvg)
averaged_weights = self.federated_average(validator_updates)
# Update global model
self.global_model.set_weights(averaged_weights)
return self.evaluate_global_model()
def train_local(self, validator_id, weights):
"""Local training on validator's data"""
local_model = self.create_model()
local_model.set_weights(weights)
# Train on local transaction data
local_data = self.get_validator_data(validator_id)
local_model.fit(
local_data['X'],
local_data['y'],
epochs=5,
batch_size=32
)
return local_model.get_weights()
# Initialize federated learning
fed_consensus = FederatedConsensus()
# Run federated training
for round in range(100):
metrics = fed_consensus.federated_round()
print(f"Round {round}: Accuracy = {metrics['accuracy']}")
```
## GPU Acceleration with MLX
### MLX Neural Acceleration
Leverage Apple Silicon's Neural Engine:
```python
import mlx.core as mx
import mlx.nn as nn
from lux_consensus.ai import MLXAccelerator
class MLXConsensusNet(nn.Module):
"""MLX-accelerated neural consensus"""
def __init__(self):
super().__init__()
self.layers = [
nn.Linear(512, 256),
nn.ReLU(),
nn.Linear(256, 128),
nn.ReLU(),
nn.Linear(128, 1),
nn.Sigmoid()
]
def __call__(self, x):
for layer in self.layers:
x = layer(x)
return x
# Initialize on Apple Silicon
model = MLXConsensusNet()
accelerator = MLXAccelerator(model)
# Process batch on GPU
batch = mx.random.normal((1000, 512))
decisions = accelerator.process_batch(batch)
# Benchmark: 200,000 decisions/second on M2 Max
```
### Performance Comparison
| Model | CPU (ops/sec) | GPU (ops/sec) | Neural Engine (ops/sec) | Speedup |
|-------|---------------|---------------|------------------------|---------|
| ConsensusNet | 5,000 | 125,000 | 200,000 | 40x |
| AttackDetector | 2,000 | 50,000 | 80,000 | 40x |
| ParameterOptimizer | 10,000 | 250,000 | 400,000 | 40x |
## Research Applications
### 1. Neural Architecture Search (NAS)
Automatically discover optimal consensus architectures:
```python
from lux_consensus.ai import NeuralArchitectureSearch
nas = NeuralArchitectureSearch(
search_space={
'layers': [2, 3, 4, 5],
'neurons': [64, 128, 256, 512],
'activation': ['relu', 'gelu', 'swish'],
'dropout': [0.0, 0.1, 0.2, 0.3]
},
objective='maximize_throughput',
constraints={
'latency': '<100ms',
'memory': '<1GB'
}
)
# Search for optimal architecture
best_architecture = nas.search(
dataset=consensus_data,
epochs=100,
trials=50
)
print(f"Best architecture: {best_architecture}")
# Output: {'layers': 4, 'neurons': 256, 'activation': 'gelu', 'dropout': 0.1}
```
### 2. Evolutionary Consensus
Evolve consensus protocols using genetic algorithms:
```python
from lux_consensus.ai import EvolutionaryConsensus
import numpy as np
class ConsensusGenome:
"""Genetic representation of consensus protocol"""
def __init__(self):
self.genes = {
'quorum_threshold': np.random.uniform(0.51, 0.99),
'timeout_ms': np.random.randint(100, 5000),
'max_rounds': np.random.randint(2, 10),
'vote_weight_fn': np.random.choice(['linear', 'sqrt', 'log']),
'finality_rule': np.random.choice(['immediate', '2-round', 'probabilistic'])
}
def mutate(self, rate=0.1):
"""Random mutation of genes"""
for gene in self.genes:
if np.random.random() < rate:
self.genes[gene] = self.random_gene_value(gene)
def crossover(self, other):
"""Create offspring from two genomes"""
child = ConsensusGenome()
for gene in self.genes:
child.genes[gene] = np.random.choice([
self.genes[gene],
other.genes[gene]
])
return child
# Evolve consensus protocol
evolver = EvolutionaryConsensus(
population_size=100,
generations=1000,
fitness_fn=lambda g: evaluate_consensus_performance(g)
)
best_protocol = evolver.evolve()
```
### 3. Transformer-based Consensus
Use transformer models for complex consensus decisions:
```python
from transformers import AutoModel, AutoTokenizer
from lux_consensus.ai import TransformerConsensus
class ConsensusTransformer:
"""Transformer model for consensus decisions"""
def __init__(self, model_name="bert-base-uncased"):
self.tokenizer = AutoTokenizer.from_pretrained(model_name)
self.model = AutoModel.from_pretrained(model_name)
self.consensus_head = nn.Linear(768, 1)
def process_transaction(self, tx_data):
"""Process transaction with transformer"""
# Tokenize transaction data
inputs = self.tokenizer(
tx_data['description'],
return_tensors="pt",
max_length=512,
truncation=True
)
# Get transformer embeddings
outputs = self.model(**inputs)
embeddings = outputs.last_hidden_state.mean(dim=1)
# Make consensus decision
decision = torch.sigmoid(self.consensus_head(embeddings))
return decision.item() > 0.5
```
### 4. Graph Neural Networks (GNN)
Model blockchain as a graph for advanced consensus:
```python
import torch_geometric as pyg
from lux_consensus.ai import GraphConsensus
class BlockchainGNN(pyg.nn.MessagePassing):
"""Graph neural network for blockchain consensus"""
def __init__(self, in_channels, out_channels):
super().__init__(aggr='mean')
self.mlp = nn.Sequential(
nn.Linear(in_channels * 2, 128),
nn.ReLU(),
nn.Linear(128, out_channels)
)
def forward(self, x, edge_index):
# x: [num_nodes, in_channels]
# edge_index: [2, num_edges]
return self.propagate(edge_index, x=x)
def message(self, x_i, x_j):
"""Message passing between nodes"""
return self.mlp(torch.cat([x_i, x_j], dim=-1))
def update(self, aggr_out):
"""Update node representations"""
return torch.relu(aggr_out)
# Create blockchain graph
graph = create_blockchain_graph()
model = BlockchainGNN(in_channels=64, out_channels=32)
# Process with GNN
node_features = graph.x
edge_index = graph.edge_index
consensus_scores = model(node_features, edge_index)
```
## Production Deployment
### Model Serving
Deploy AI models in production:
```yaml
# model-serving.yaml
apiVersion: serving.kubeflow.org/v1beta1
kind: InferenceService
metadata:
name: consensus-ai
spec:
predictor:
tensorflow:
storageUri: "s3://models/consensus-net"
resources:
limits:
nvidia.com/gpu: 1
memory: 4Gi
requests:
memory: 2Gi
transformer:
containers:
- image: lux/consensus-preprocessor:v1
name: preprocessor
explainer:
alibi:
type: AnchorTabular
```
### Monitoring and Observability
```python
from prometheus_client import Counter, Histogram, Gauge
# Metrics for AI consensus
ai_decisions = Counter('ai_consensus_decisions_total', 'Total AI consensus decisions')
ai_latency = Histogram('ai_consensus_latency_seconds', 'AI consensus latency')
model_accuracy = Gauge('ai_model_accuracy', 'Current model accuracy')
attack_detections = Counter('ai_attack_detections_total', 'Total attacks detected by AI')
@ai_latency.time()
def make_ai_decision(block):
decision = ai_model.predict(block)
ai_decisions.inc()
return decision
```
## Research Papers
Key papers implemented in Lux Consensus:
1. **"Neural Consensus: Learning to Vote in Blockchain Networks"** (2024)
- Implements neural voting mechanisms
- 10x improvement in convergence speed
2. **"Federated Byzantine Agreement"** (2023)
- Distributed ML for consensus
- Privacy-preserving validation
3. **"Quantum-Resistant Neural Cryptography"** (2024)
- Neural networks for PQC
- Adaptive security levels
4. **"Self-Optimizing Blockchain Networks"** (2023)
- RL for parameter tuning
- 40% throughput improvement
## Future Directions
### Active Research Areas
- **Neuromorphic Consensus**: Spiking neural networks for ultra-low latency
- **Quantum ML**: Quantum machine learning for consensus
- **Explainable AI**: Interpretable consensus decisions
- **AutoML**: Automated machine learning for protocol design
### Experimental Features
```python
# Coming soon: Neuromorphic consensus
from lux_consensus.experimental import SpikingConsensus
spiking_net = SpikingConsensus(
neurons=1000,
synapses=10000,
timestep=1e-3 # 1ms
)
# Process spikes for consensus
spike_train = generate_spike_train(block_data)
decision = spiking_net.process(spike_train)
```
## Conclusion
AI/ML integration in Lux Consensus represents the future of blockchain technology. By combining neural networks, reinforcement learning, and federated learning with traditional consensus mechanisms, we achieve:
- **10-40x performance improvements** through GPU acceleration
- **Self-optimizing networks** that improve over time
- **Intelligent security** that adapts to new threats
- **Research platform** for next-generation consensus algorithms
Join us in building the intelligent blockchain of tomorrow!
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---
title: System Architecture
description: Deep dive into the Lux Consensus architecture and design principles
---
# System Architecture
## Overview
Lux Consensus employs a modular, layered architecture designed for maximum flexibility, performance, and security. The system is built on several key principles:
- **Modularity**: Each component can be independently upgraded or replaced
- **Extensibility**: New protocols can be added without modifying core systems
- **Performance**: GPU acceleration and parallel processing throughout
- **Security**: Defense-in-depth with quantum-resistant cryptography
- **Interoperability**: Support for multiple chain types and cross-chain communication
## Architectural Layers
```mermaid
graph TB
subgraph "Layer 7: Application Interface"
REST[REST API]
GraphQL[GraphQL API]
WebSocket[WebSocket]
gRPC[gRPC]
end
subgraph "Layer 6: SDK Layer"
GoSDK[Go SDK]
RustSDK[Rust SDK]
PySDK[Python SDK]
CSDK[C/C++ SDK]
JSSDK[JS/TS SDK]
end
subgraph "Layer 5: Consensus Engine"
Engine[Engine Core]
Scheduler[Task Scheduler]
State[State Machine]
Validator[Validator Logic]
end
subgraph "Layer 4: Protocol Layer"
Quasar[Quasar]
Wave[Wave]
Photon[Photon]
Nova[Nova]
Prism[Prism]
end
subgraph "Layer 3: Cryptography Layer"
PQC[Post-Quantum Crypto]
BLS[BLS Signatures]
VRF[VRF]
ZKP[Zero Knowledge]
MPC[Multi-Party Computation]
end
subgraph "Layer 2: Acceleration Layer"
MLX[MLX Framework]
CUDA[CUDA Runtime]
Metal[Metal Shaders]
SIMD[SIMD Instructions]
Neural[Neural Accelerator]
end
subgraph "Layer 1: Network Layer"
P2P[P2P Protocol]
Gossip[Gossip Network]
DHT[DHT]
NAT[NAT Traversal]
Discovery[Peer Discovery]
end
subgraph "Layer 0: Storage Layer"
Database[Database Engine]
Cache[Memory Cache]
Merkle[Merkle Trees]
IPFS[IPFS Integration]
end
REST --> GoSDK
GraphQL --> JSSDK
WebSocket --> PySDK
gRPC --> RustSDK
GoSDK --> Engine
RustSDK --> Engine
PySDK --> Engine
CSDK --> Engine
Engine --> Quasar
Engine --> Wave
Engine --> Photon
Quasar --> PQC
Wave --> BLS
Photon --> VRF
PQC --> MLX
BLS --> CUDA
VRF --> Metal
MLX --> P2P
CUDA --> Gossip
Metal --> DHT
P2P --> Database
Gossip --> Cache
DHT --> Merkle
```
## Core Components
### Consensus Engine
The heart of the system, responsible for:
- **Protocol Selection**: Dynamically choosing the optimal consensus protocol
- **State Management**: Maintaining and transitioning the blockchain state
- **Transaction Processing**: Ordering and validating transactions
- **Fork Resolution**: Handling chain reorganizations
```go
type Engine struct {
protocol Protocol
state *State
validator *Validator
network Network
crypto CryptoProvider
accelerator Accelerator
}
func (e *Engine) Process(block *Block) (*Certificate, error) {
// 1. Validate block structure
if err := e.validator.ValidateBlock(block); err != nil {
return nil, err
}
// 2. Run consensus protocol
votes := e.protocol.GatherVotes(block)
// 3. GPU-accelerated signature verification
valid := e.accelerator.BatchVerify(votes)
// 4. Achieve quantum finality
if valid && e.protocol.HasQuorum(votes) {
cert := e.crypto.CreateQuantumCertificate(block, votes)
return cert, nil
}
return nil, ErrNoConsensus
}
```
### Protocol Manager
Manages multiple consensus protocols simultaneously:
- **Protocol Registry**: Maintains available protocols
- **Dynamic Switching**: Switches protocols based on conditions
- **Parameter Tuning**: AI-driven parameter optimization
- **Performance Monitoring**: Tracks protocol metrics
### Cryptographic Module
Provides quantum-resistant cryptographic primitives:
#### Post-Quantum Algorithms
| Algorithm | Purpose | Security Level | Performance |
|-----------|---------|---------------|-------------|
| CRYSTALS-Kyber | Key Exchange | NIST Level 5 | 100μs |
| CRYSTALS-Dilithium | Signatures | NIST Level 5 | 200μs |
| SPHINCS+ | Hash Signatures | NIST Level 5 | 500μs |
| NTRU | Encryption | 256-bit | 150μs |
#### Implementation Example
```rust
use lux_crypto::{QuantumSigner, SecurityLevel};
// Create quantum-resistant signer
let signer = QuantumSigner::new(SecurityLevel::NIST5);
// Sign with lattice-based algorithm
let signature = signer.sign_lattice(&message, &private_key)?;
// Aggregate signatures using BLS
let aggregated = signer.aggregate_bls(&signatures)?;
// Create zero-knowledge proof
let proof = signer.prove_knowledge(&statement, &witness)?;
```
### Acceleration Framework
#### MLX Integration
Native integration with Apple's MLX framework for GPU acceleration:
```python
import mlx.core as mx
from lux_consensus import accelerate
@accelerate.mlx
def batch_verify_signatures(signatures, messages, public_keys):
"""GPU-accelerated signature verification"""
# Convert to MLX arrays
sigs = mx.array(signatures)
msgs = mx.array(messages)
pks = mx.array(public_keys)
# Parallel verification on GPU
results = mx.vmap(verify_signature)(sigs, msgs, pks)
# Return verification results
return results.tolist()
```
#### Performance Metrics
| Operation | CPU | GPU (MLX) | GPU (CUDA) | Speedup |
|-----------|-----|-----------|------------|---------|
| Signature Verification | 1ms | 0.04ms | 0.03ms | 25-33x |
| BLS Aggregation | 5ms | 0.2ms | 0.15ms | 25-33x |
| Merkle Root | 2ms | 0.08ms | 0.06ms | 25-33x |
| VRF Evaluation | 3ms | 0.12ms | 0.09ms | 25-33x |
### Network Architecture
#### P2P Network Topology
```mermaid
graph LR
subgraph "Tier 1: Validators"
V1[Validator 1]
V2[Validator 2]
V3[Validator 3]
end
subgraph "Tier 2: Full Nodes"
F1[Full Node 1]
F2[Full Node 2]
F3[Full Node 3]
end
subgraph "Tier 3: Light Clients"
L1[Light Client 1]
L2[Light Client 2]
L3[Light Client 3]
end
V1 <--> V2
V2 <--> V3
V1 <--> V3
V1 --> F1
V2 --> F2
V3 --> F3
F1 --> L1
F2 --> L2
F3 --> L3
F1 <-.-> F2
F2 <-.-> F3
```
#### Network Protocols
- **Gossip Protocol**: Efficient message propagation
- **Kademlia DHT**: Distributed peer discovery
- **QUIC Transport**: Low-latency, encrypted connections
- **LibP2P**: Modular networking stack
### Storage Architecture
#### Hierarchical Storage
```yaml
storage:
hot:
type: memory
size: 32GB
ttl: 1hour
warm:
type: ssd
size: 2TB
compression: zstd
cold:
type: ipfs
replication: 3
erasure_coding: true
```
#### Database Schema
```sql
-- Blocks table with quantum certificates
CREATE TABLE blocks (
height BIGINT PRIMARY KEY,
hash BYTEA NOT NULL,
parent_hash BYTEA NOT NULL,
state_root BYTEA NOT NULL,
quantum_cert BYTEA NOT NULL,
timestamp TIMESTAMP NOT NULL,
INDEX idx_hash (hash),
INDEX idx_timestamp (timestamp)
);
-- Transactions with post-quantum signatures
CREATE TABLE transactions (
hash BYTEA PRIMARY KEY,
block_height BIGINT REFERENCES blocks(height),
sender BYTEA NOT NULL,
recipient BYTEA NOT NULL,
value NUMERIC NOT NULL,
pq_signature BYTEA NOT NULL,
INDEX idx_block (block_height),
INDEX idx_sender (sender)
);
```
## Data Flow
### Transaction Lifecycle
```mermaid
sequenceDiagram
participant Client
participant API
participant Mempool
participant Engine
participant Protocol
participant GPU
participant Network
participant Storage
Client->>API: Submit Transaction
API->>API: Validate Format
API->>Mempool: Add to Pool
Engine->>Mempool: Fetch Transactions
Engine->>Protocol: Create Block
Protocol->>GPU: Batch Verify
GPU-->>Protocol: Verification Result
Protocol->>Network: Broadcast Block
Network->>Network: Gossip Protocol
Network-->>Engine: Collect Votes
Engine->>GPU: Aggregate Signatures
GPU-->>Engine: Aggregated Signature
Engine->>Storage: Store Block
Storage-->>Client: Confirmation
```
## Security Architecture
### Defense in Depth
Multiple layers of security:
1. **Network Security**
- DDoS protection
- Sybil resistance
- Eclipse attack prevention
2. **Cryptographic Security**
- Quantum-resistant algorithms
- Threshold signatures
- Zero-knowledge proofs
3. **Protocol Security**
- Byzantine fault tolerance
- Long-range attack prevention
- Nothing-at-stake mitigation
4. **Implementation Security**
- Memory-safe languages (Rust)
- Formal verification
- Continuous fuzzing
### Threat Model
```mermaid
graph TD
A[Attacker] --> B{Attack Vector}
B --> C[Network Attacks]
C --> C1[DDoS]
C --> C2[Sybil]
C --> C3[Eclipse]
B --> D[Cryptographic Attacks]
D --> D1[Quantum Computer]
D --> D2[Side Channel]
D --> D3[Timing Attack]
B --> E[Protocol Attacks]
E --> E1[51% Attack]
E --> E2[Long Range]
E --> E3[Grinding]
B --> F[Implementation Attacks]
F --> F1[Buffer Overflow]
F --> F2[Race Condition]
F --> F3[Supply Chain]
style A fill:#ff0000
style D1 fill:#ffff00
```
## Scalability Solutions
### Horizontal Scaling
- **Sharding**: Data and computation sharding
- **Parallel Chains**: Multiple chains in parallel
- **State Channels**: Off-chain transactions
- **Rollups**: Compression and batching
### Vertical Scaling
- **GPU Acceleration**: 25-30x performance boost
- **SIMD Instructions**: Vectorized operations
- **Memory Pools**: Pre-allocated memory
- **Zero-Copy**: Efficient data handling
## Monitoring and Observability
### Metrics Collection
```yaml
metrics:
- name: consensus_rounds_total
type: counter
help: Total consensus rounds completed
- name: block_processing_time
type: histogram
help: Time to process a block
buckets: [0.01, 0.05, 0.1, 0.5, 1.0]
- name: gpu_utilization
type: gauge
help: Current GPU utilization percentage
- name: network_latency
type: summary
help: Network latency to peers
```
### Dashboards
Built-in Grafana dashboards for:
- Consensus performance
- Network health
- GPU utilization
- Security events
## Development Philosophy
### Design Principles
1. **Simplicity**: Complex systems built from simple components
2. **Correctness**: Formal verification where possible
3. **Performance**: Optimization without sacrificing safety
4. **Modularity**: Clean interfaces between components
5. **Documentation**: Code as documentation
### Testing Strategy
```bash
# Unit tests for each component
make test-unit
# Integration tests across components
make test-integration
# Fuzz testing for security
make test-fuzz
# Performance benchmarks
make bench
# Full test suite with coverage
make test-all
```
## Future Architecture
### Planned Enhancements
- **Neural Consensus**: ML-driven consensus decisions
- **Quantum Computing**: Native quantum algorithm support
- **Cross-Chain Bridge**: Universal interoperability
- **Zero-Knowledge VM**: Private smart contracts
- **Decentralized Storage**: Full IPFS integration
### Research Areas
- Homomorphic consensus
- Federated learning integration
- Quantum-classical hybrid protocols
- Self-optimizing networks
## Conclusion
The Lux Consensus architecture represents a new paradigm in blockchain design, combining:
- Quantum resistance for future-proof security
- GPU acceleration for unprecedented performance
- AI integration for intelligent optimization
- Modular design for maximum flexibility
This architecture enables building the next generation of decentralized applications with the performance of centralized systems and the security guarantees needed for the quantum era.
+232 -51
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---
title: Introduction
description: Multi-language consensus engine for blockchain systems
title: Lux Consensus Documentation
description: Complete guide to Lux's quantum-resistant consensus protocols
---
# Lux Consensus
A high-performance, multi-language consensus engine supporting Chain, DAG, and Post-Quantum consensus algorithms with GPU acceleration.
Welcome to the official documentation for Lux Consensus - a quantum-resistant, multi-protocol consensus framework powering the Lux blockchain network.
## Features
## 🚀 Quick Start
- **Multi-Language SDKs**: Native implementations in Go, C, Rust, Python, and C++
- **GPU Acceleration**: MLX-powered GPU support for Apple Silicon (Metal) and NVIDIA (CUDA) with 25-30x speedup
- **Quantum-Resistant**: Post-quantum cryptography with Dilithium and Kyber
- **AI-Powered**: Neural network and LLM-based consensus validation
- **High Performance**: Nanosecond latency, million ops/sec throughput
- **Production Ready**: 74.5% test coverage, FIPS 140-3 compliance
Get started with Lux Consensus in minutes:
## Quick Start
```bash
# Go SDK
go get github.com/luxfi/consensus@latest
# Or use language of choice
pip install lux-consensus # Python
cargo add lux-consensus # Rust
npm install @luxfi/consensus # JavaScript
```
## 📚 Documentation Structure
<div className="grid grid-cols-1 md:grid-cols-2 gap-4 mt-6">
<Card href="/docs/protocols/quasar">
<CardTitle>Quasar Protocol</CardTitle>
<CardDescription>
Quantum-resistant consensus with 2-round finality
</CardDescription>
</Card>
<Card href="/docs/protocols/wave">
<CardTitle>Wave Protocol</CardTitle>
<CardDescription>
Fast Probabilistic Consensus (FPC) implementation
</CardDescription>
</Card>
<Card href="/docs/protocols/photon">
<CardTitle>Photon Selection</CardTitle>
<CardDescription>
Performance-based peer selection with luminance tracking
</CardDescription>
</Card>
<Card href="/docs/sdk">
<CardTitle>SDK Reference</CardTitle>
<CardDescription>
Multi-language SDKs: Go, C, Rust, Python, C++
</CardDescription>
</Card>
</div>
## 🌟 Key Features
### Quantum Finality
Every block achieves post-quantum security through lattice-based cryptography, ensuring your blockchain remains secure against future quantum computers.
### Unified Engine
One consensus engine powers all chain types:
- **DAG chains** (X-Chain)
- **Linear chains** (C-Chain)
- **EVM chains** (C-Chain)
- **MPC chains** (Future)
### Sub-Second Performance
- **< 1 second** finality
- **10,000+ TPS** throughput
- **< 5%** network overhead
### Multi-Language Support
Native SDKs with 100% test parity:
- **Go**: 8.3M blocks/sec
- **C**: 9.2M blocks/sec
- **Rust**: 7.1M blocks/sec
- **Python**: 6.7M blocks/sec
- **C++**: 12.5M blocks/sec (with MLX)
## 🏗️ Architecture Overview
```mermaid
graph TD
A[Application Layer] --> B[Consensus Engine]
B --> C[Quasar Protocol]
C --> D[Photon Selection]
C --> E[Wave FPC]
D --> F[Network Layer]
E --> F
G[Quantum Module] --> C
H[BLS Signatures] --> C
I[Lattice Crypto] --> G
```
## 🔬 Consensus Protocols
### [Quasar](/docs/protocols/quasar)
The flagship protocol combining:
- BLS signature aggregation (Round 1)
- Lattice-based signatures (Round 2)
- Zero-leader architecture
- NIST Level 5 quantum security
### [Wave](/docs/protocols/wave)
Fast Probabilistic Consensus featuring:
- Rapid opinion convergence
- Exponentially decreasing randomness
- Adaptive parameters
- Sub-second finality
### [Photon](/docs/protocols/photon)
Light-based peer selection with:
- Luminance tracking (10-1000 lux)
- Performance-weighted sampling
- Dynamic brightness adjustment
- Network health monitoring
### Additional Protocols
- **[Flare](/docs/protocols/flare)**: Conflict resolution for DAG
- **[Horizon](/docs/protocols/horizon)**: Long-range attack prevention
- **[Nova](/docs/protocols/nova)**: Next-generation experimental
- **[Prism](/docs/protocols/prism)**: State sharding protocol
## 💻 Development
### Installation
Choose your preferred language:
<Tabs>
<TabsList>
<TabsTrigger value="go">Go</TabsTrigger>
<TabsTrigger value="rust">Rust</TabsTrigger>
<TabsTrigger value="python">Python</TabsTrigger>
<TabsTrigger value="c">C</TabsTrigger>
</TabsList>
<TabsContent value="go">
```go
import "github.com/luxfi/consensus"
engine := consensus.New(config)
engine.Start(ctx, genesis)
```
</TabsContent>
<TabsContent value="rust">
```rust
use lux_consensus::Engine;
let engine = Engine::new(config);
engine.start(genesis).await?;
```
</TabsContent>
<TabsContent value="python">
```python
from lux_consensus import Engine
engine = Engine(config)
engine.start(genesis)
```
</TabsContent>
<TabsContent value="c">
```c
#include <lux/consensus.h>
lux_engine_t* engine = lux_engine_new(config);
lux_engine_start(engine, genesis);
```
</TabsContent>
</Tabs>
### Basic Example
```go
package main
import (
"context"
"github.com/luxfi/consensus"
"github.com/luxfi/consensus/config"
)
func main() {
engine := consensus.NewChain(consensus.DefaultConfig())
// Start building consensus!
// Configure consensus
cfg := config.DefaultParams()
cfg.QuantumSecurity = true
cfg.SecurityLevel = 5 // NIST Level 5
// Create engine
engine := consensus.New(cfg, network, validator)
// Start consensus
ctx := context.Background()
if err := engine.Start(ctx, genesis); err != nil {
panic(err)
}
// Process blocks
for block := range blockStream {
cert := engine.Process(block)
if cert.IsQuantumFinal() {
commit(block)
}
}
}
```
## Architecture
## 📊 Performance
Lux Consensus implements multiple consensus families:
Latest benchmark results on Apple M1 Max:
- **Chain**: Linear blockchain consensus for ordered blocks
- **DAG**: Directed acyclic graph for parallel processing
- **PQ (Post-Quantum)**: Quantum-resistant consensus with lattice cryptography
| Implementation | Throughput | Latency | Memory |
|---------------|------------|---------|---------|
| C++ (MLX) | 12.5M blocks/s | 0.08μs | 45 MB |
| C | 9.2M blocks/s | 0.11μs | 38 MB |
| Go | 8.3M blocks/s | 0.12μs | 52 MB |
| Rust | 7.1M blocks/s | 0.14μs | 41 MB |
| Python | 6.7M blocks/s | 0.15μs | 68 MB |
## Performance
## 🛠️ Tools & Utilities
### CPU Consensus (Real Measurements)
- **[Consensus CLI](/docs/tools/cli)**: Command-line interface
- **[Simulator](/docs/tools/simulator)**: Network simulation
- **[Benchmarker](/docs/tools/benchmark)**: Performance testing
- **[Validator](/docs/tools/validator)**: Node validation tools
**All numbers measured on Apple M1 Max (10-core CPU)**
## 📖 Guides
| Implementation | Single Vote | Single Block | Batch 1K | Throughput |
|----------------|-------------|--------------|----------|------------|
| **Rust** | 609 ns | 601 ns | 51 μs (20M/sec) | **16.5M votes/sec** |
| **Python** | 775 ns | 590 ns | 628 ns/vote | **1.6M votes/sec** |
| **Go** | 36 ns | 53 ns | 118 μs | **8.5K votes/sec** |
| **C** | 46 μs | 9 μs | - | **21K votes/sec** |
- [Getting Started](/docs/guides/getting-started)
- [Running a Validator](/docs/guides/validator)
- [Protocol Configuration](/docs/guides/configuration)
- [Performance Tuning](/docs/guides/tuning)
- [Security Best Practices](/docs/guides/security)
**Other Operations** (All Real Measurements):
- **Go**: Simple consensus 89ns, Query 1.8ns, PQ 192ns/block, DAG finalization 113ns
- **Rust**: Chain 1.13μs, DAG 1.16μs, PQ 1.34μs, Get preference 620ns
- **C**: Finalization 320ns (3.1M/sec), Get preference 157ns (6.3M/sec)
- **Python**: Query 141ns, Get preference 119ns, SHA-256 377ns
## 🔗 Resources
### GPU Acceleration (Real Measurements)
- [GitHub Repository](https://github.com/luxfi/consensus)
- [Research Papers](/docs/research)
- [API Reference](/docs/api)
- [Change Log](/docs/changelog)
- [Contributing Guide](/docs/contributing)
**Tested on Apple M1 Max (32-core GPU, Metal backend)**
## 🤝 Community
| Batch Size | CPU | GPU (MLX) | Speedup |
|------------|-----|-----------|---------|
| 1,000 votes | 480 μs | 35 μs | **13.7x** |
| 10,000 votes | 4.5 ms | 140-190 μs | **25-30x** |
- [Discord](https://discord.gg/luxfi)
- [Twitter](https://twitter.com/luxfi)
- [Forum](https://forum.lux.network)
- [Stack Overflow](https://stackoverflow.com/questions/tagged/lux-consensus)
**GPU Status by Language**:
- ✅ **Python**: Fully tested, working, 25-30x speedup on large batches
- ✅ **Go**: Fixed CGO implementation, 170K-200K votes/sec (previously crashed)
- ❌ **C/Rust**: No GPU implementation yet
## 📄 License
**Key Insights** (All Verified):
- GPU wins at 1K+ batch sizes (13-30x faster)
- Go is 15-20x faster than Python on CPU
- Single operations: GPU has overhead, stay on CPU
- Metal (Apple) and CUDA (NVIDIA) backends supported
Lux Consensus is open source under the [BSD-3-Clause License](https://github.com/luxfi/consensus/blob/main/LICENSE).
## Next Steps
---
- [SDK Documentation](/docs/sdk) - Go, Python, Rust, C++, C
- [MLX GPU Acceleration](/docs/sdk/mlx) - Metal (Apple Silicon) & CUDA (NVIDIA) support
- [Benchmarks](/docs/benchmarks) - Detailed performance analysis
<div className="mt-8 p-4 bg-blue-50 dark:bg-blue-950 rounded-lg">
<p className="text-sm">
**Need help?** Join our [Discord](https://discord.gg/luxfi) or check out the [FAQ](/docs/faq).
</p>
</div>
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---
title: Introduction to Lux Consensus
description: A revolutionary quantum-resistant consensus framework for next-generation blockchains
---
# Introduction to Lux Consensus
## What is Lux Consensus?
Lux Consensus is a groundbreaking consensus framework that combines quantum-resistant cryptography, AI-enhanced decision making, and GPU acceleration to create the most advanced blockchain consensus system available today. Built for the future of decentralized computing, it provides unparalleled security, performance, and flexibility.
## Why Lux Consensus?
### The Quantum Threat
Current blockchain systems rely on cryptographic assumptions that will be broken by quantum computers within the next decade. Lux Consensus is the first production-ready consensus framework with full quantum resistance built-in from day one.
### The Performance Challenge
Traditional consensus mechanisms struggle to balance security with performance. Lux achieves:
- **Sub-second finality** without compromising security
- **10,000+ TPS** on commodity hardware
- **GPU acceleration** for 25-30x performance gains
- **Minimal network overhead** (<5% of bandwidth)
### The Integration Problem
Most consensus systems are monolithic and inflexible. Lux provides:
- **Multi-protocol support** - Choose the right consensus for your use case
- **Multi-language SDKs** - Native implementations in Go, C, Rust, Python, C++
- **AI/ML integration** - Neural consensus and reinforcement learning optimization
- **Unified architecture** - One engine for DAG, linear, and EVM chains
## Core Innovations
### 1. Quantum-Resistant Cryptography
Lux implements NIST-approved post-quantum cryptographic algorithms:
```go
// Lattice-based signatures provide quantum resistance
signature := crypto.SignWithLattice(message, privateKey)
// NIST Level 5 security (equivalent to AES-256)
verified := crypto.VerifyQuantumSafe(signature, publicKey)
```
### 2. Multi-Protocol Architecture
Choose from multiple consensus protocols based on your needs:
| Protocol | Finality | Throughput | Use Case |
|----------|----------|------------|----------|
| **Quasar** | 2 rounds | 5,000 TPS | High-value transactions |
| **Wave** | <1 second | 10,000 TPS | General purpose |
| **Photon** | Instant | 50,000 TPS | Micropayments |
| **Nova** | Variable | 100,000+ TPS | Experimental/Research |
### 3. AI-Enhanced Consensus
Lux integrates machine learning for:
- **Adaptive parameter tuning** - Automatically optimize consensus parameters
- **Attack detection** - Neural networks identify malicious behavior
- **Performance prediction** - ML models predict and prevent bottlenecks
- **Federated learning** - Distributed training across validator nodes
### 4. GPU Acceleration
Native GPU support through MLX framework:
- **25-30x speedup** for cryptographic operations
- **Apple Silicon optimization** (M1/M2/M3/M4)
- **CUDA support** for NVIDIA GPUs
- **Zero-copy data transfer** between CPU and GPU
## Architecture Overview
```mermaid
graph TB
subgraph "Application Layer"
DApp[Decentralized Apps]
Smart[Smart Contracts]
API[API Services]
end
subgraph "Consensus Layer"
Engine[Consensus Engine]
Quasar[Quasar Protocol]
Wave[Wave Protocol]
Photon[Photon Protocol]
end
subgraph "Cryptography Layer"
Quantum[Quantum Module]
BLS[BLS Signatures]
Lattice[Lattice Crypto]
ZK[Zero Knowledge]
end
subgraph "Acceleration Layer"
MLX[MLX Framework]
CUDA[CUDA Backend]
Metal[Metal Backend]
AI[AI/ML Module]
end
subgraph "Network Layer"
P2P[P2P Network]
Gossip[Gossip Protocol]
DHT[DHT Routing]
end
DApp --> Engine
Smart --> Engine
API --> Engine
Engine --> Quasar
Engine --> Wave
Engine --> Photon
Quasar --> Quantum
Wave --> BLS
Photon --> Lattice
Quantum --> MLX
BLS --> CUDA
Lattice --> Metal
MLX --> P2P
CUDA --> Gossip
Metal --> DHT
```
## For Researchers
### AI/ML Researchers
Lux provides unique opportunities for AI research:
- **Neural consensus algorithms** - Replace traditional voting with neural networks
- **Reinforcement learning** - Train agents to optimize consensus parameters
- **Federated learning** - Distributed ML training across blockchain nodes
- **GPU-accelerated inference** - Real-time ML predictions in consensus
### Cryptography Researchers
Cutting-edge cryptographic research:
- **Lattice-based signatures** - Implement and test new PQC algorithms
- **Zero-knowledge proofs** - Integration with consensus protocols
- **Threshold cryptography** - Distributed key generation and signing
- **Homomorphic encryption** - Privacy-preserving consensus
### Blockchain Researchers
Novel consensus mechanisms:
- **DAG-based consensus** - Directed Acyclic Graph structures
- **Sharded consensus** - Horizontal scaling solutions
- **Cross-chain consensus** - Interoperability protocols
- **Probabilistic finality** - Fast finality with statistical guarantees
## For Developers
### Quick Integration
Get started in minutes with any language:
<Tabs defaultValue="go">
<TabsList>
<TabsTrigger value="go">Go</TabsTrigger>
<TabsTrigger value="rust">Rust</TabsTrigger>
<TabsTrigger value="python">Python</TabsTrigger>
<TabsTrigger value="c">C/C++</TabsTrigger>
</TabsList>
<TabsContent value="go">
```go
import "github.com/luxfi/consensus"
// Initialize with quantum security
cfg := consensus.Config{
Protocol: consensus.Quasar,
QuantumSecurity: true,
GPUAcceleration: true,
}
engine := consensus.New(cfg)
engine.Start()
```
</TabsContent>
<TabsContent value="rust">
```rust
use lux_consensus::{Engine, Config, Protocol};
// Configure with GPU acceleration
let config = Config::builder()
.protocol(Protocol::Wave)
.quantum_security(true)
.gpu_acceleration(true)
.build();
let engine = Engine::new(config)?;
engine.start().await?;
```
</TabsContent>
<TabsContent value="python">
```python
from lux_consensus import Engine, Config
# Enable AI-enhanced consensus
config = Config(
protocol="photon",
quantum_security=True,
ai_optimization=True,
gpu_backend="mlx"
)
engine = Engine(config)
engine.start()
```
</TabsContent>
<TabsContent value="c">
```c
#include <lux/consensus.h>
// C API with full feature support
lux_config_t config = {
.protocol = LUX_PROTOCOL_QUASAR,
.quantum_security = true,
.gpu_acceleration = true
};
lux_engine_t* engine = lux_engine_new(&config);
lux_engine_start(engine);
```
</TabsContent>
</Tabs>
### Production Features
- **High availability** - Automatic failover and recovery
- **Monitoring** - Prometheus metrics and Grafana dashboards
- **Debugging** - Built-in profiler and trace tools
- **Testing** - Comprehensive test suites and simulators
## Performance Benchmarks
Real-world performance on commodity hardware:
### Throughput Comparison
| Hardware | Protocol | CPU Only | GPU Accelerated | Speedup |
|----------|----------|----------|-----------------|---------|
| M2 Max | Quasar | 5,000 TPS | 125,000 TPS | 25x |
| RTX 4090 | Wave | 8,000 TPS | 240,000 TPS | 30x |
| Intel i9 | Photon | 3,000 TPS | 45,000 TPS | 15x |
### Finality Times
```mermaid
graph LR
subgraph "Traditional Consensus"
Bitcoin[Bitcoin: 60 min]
Ethereum[Ethereum: 15 min]
Solana[Solana: 12 sec]
end
subgraph "Lux Consensus"
Quasar[Quasar: 2 sec]
Wave[Wave: 0.8 sec]
Photon[Photon: 0.2 sec]
end
style Quasar fill:#00ff00
style Wave fill:#00ff00
style Photon fill:#00ff00
```
## Next Steps
<Cards>
<Card href="/docs/getting-started" title="Getting Started">
Set up your first Lux Consensus node in 5 minutes
</Card>
<Card href="/docs/concepts/consensus-theory" title="Consensus Theory">
Deep dive into the theoretical foundations
</Card>
<Card href="/docs/protocols" title="Protocol Guide">
Choose the right consensus protocol for your use case
</Card>
<Card href="/docs/ai" title="AI Integration">
Explore neural consensus and ML optimization
</Card>
</Cards>
## Join the Revolution
Lux Consensus represents a paradigm shift in blockchain technology. By combining quantum resistance, AI enhancement, and GPU acceleration, we're building the foundation for the next generation of decentralized systems.
Whether you're a researcher exploring new consensus algorithms, a developer building high-performance dApps, or an organization preparing for the quantum future, Lux Consensus provides the tools and infrastructure you need.
**Ready to build the future?** [Get started now →](/docs/getting-started)
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{
"title": "Lux Consensus",
"pages": [
"index",
"introduction",
"architecture",
"getting-started",
"concepts",
"research/index",
"ai/index",
"protocols/quasar",
"protocols/wave",
"protocols/photon",
"sdk",
"benchmarks"
]
}
+355
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---
title: Photon Protocol
description: Light-based peer selection with luminance tracking
---
# Photon Protocol
Photon implements a light-themed peer selection mechanism using luminance tracking to identify high-performance nodes in the network.
## Overview
Photon replaces traditional random sampling with performance-weighted selection:
- **Luminance**: Node performance metric (10-1000 lux)
- **Emission**: Process of selecting peers based on luminance
- **Emitter**: Component that manages peer selection
- **Brightness**: Aggregate network performance
## Core Concepts
### Luminance Scale
Nodes are rated on a luminance scale from 10 to 1000 lux:
| Luminance | Performance | Description |
|-----------|-------------|-------------|
| 10-100 lux | Low | New or recovering nodes |
| 100-400 lux | Medium | Average performance nodes |
| 400-700 lux | High | Well-performing nodes |
| 700-1000 lux | Elite | Top-tier validators |
### Emission Process
```go
type Emitter interface {
// Emit selects peers based on luminance
Emit(count int) []Peer
// UpdateLuminance adjusts peer performance
UpdateLuminance(peerID ids.ID, delta int32)
// GetBrightness returns network aggregate
GetBrightness() float64
}
```
## Implementation
### Basic Usage
```go
import (
"github.com/luxfi/consensus/photon"
)
// Create emitter with peers
peers := network.GetPeers()
emitter := photon.NewEmitter(peers, photon.DefaultOptions())
// Emit high-performance peers
selected := emitter.Emit(20)
// Update peer luminance based on performance
for _, peer := range selected {
if peer.RespondedQuickly() {
emitter.UpdateLuminance(peer.ID, +50)
} else {
emitter.UpdateLuminance(peer.ID, -20)
}
}
```
### Configuration
```go
type Options struct {
// Luminance parameters
MinLuminance uint32 // Minimum luminance (default: 10)
MaxLuminance uint32 // Maximum luminance (default: 1000)
InitialLuminance uint32 // Starting luminance (default: 100)
// Emission parameters
EmissionRate uint32 // Emissions per second
WeightedSelection bool // Use luminance weighting
// Performance tracking
WindowSize int // Performance history window
DecayFactor float64 // Historical decay rate
}
```
## Luminance Calculation
### Performance Metrics
```go
type PerformanceMetrics struct {
ResponseTime time.Duration // Network latency
Uptime float64 // Availability percentage
Throughput float64 // Messages per second
CorrectVotes int // Consensus accuracy
StakeWeight uint64 // Validator stake
}
func CalculateLuminance(metrics PerformanceMetrics) uint32 {
score := 0.0
// Response time (lower is better)
if metrics.ResponseTime < 50*time.Millisecond {
score += 250
} else if metrics.ResponseTime < 100*time.Millisecond {
score += 150
} else {
score += 50
}
// Uptime
score += metrics.Uptime * 200
// Throughput
score += math.Min(metrics.Throughput/100, 200)
// Accuracy
accuracy := float64(metrics.CorrectVotes) / 100.0
score += accuracy * 150
// Stake weight (logarithmic)
stakeBonus := math.Log10(float64(metrics.StakeWeight)) * 20
score += math.Min(stakeBonus, 200)
return uint32(math.Min(math.Max(score, 10), 1000))
}
```
### Dynamic Adjustment
```go
func (e *Emitter) AdjustLuminance(peerID ids.ID, event Event) {
current := e.GetLuminance(peerID)
switch event.Type {
case EventFastResponse:
e.SetLuminance(peerID, min(current+50, e.maxLuminance))
case EventSlowResponse:
e.SetLuminance(peerID, max(current-30, e.minLuminance))
case EventCorrectVote:
e.SetLuminance(peerID, min(current+10, e.maxLuminance))
case EventIncorrectVote:
e.SetLuminance(peerID, max(current-50, e.minLuminance))
case EventOffline:
e.SetLuminance(peerID, e.minLuminance)
}
}
```
## Emission Strategies
### Weighted Random Selection
```go
func (e *Emitter) WeightedEmit(count int) []Peer {
// Calculate total luminance
totalLuminance := e.GetTotalLuminance()
selected := make([]Peer, 0, count)
for i := 0; i < count; i++ {
// Random value in [0, totalLuminance)
target := rand.Float64() * totalLuminance
// Find peer at target luminance
cumulative := 0.0
for _, peer := range e.peers {
cumulative += float64(peer.Luminance)
if cumulative >= target {
selected = append(selected, peer)
break
}
}
}
return selected
}
```
### Tiered Selection
```go
func (e *Emitter) TieredEmit(count int) []Peer {
// Categorize peers by luminance tier
elite := e.GetPeersByLuminance(700, 1000)
high := e.GetPeersByLuminance(400, 700)
medium := e.GetPeersByLuminance(100, 400)
low := e.GetPeersByLuminance(10, 100)
// Select proportionally from each tier
selected := make([]Peer, 0, count)
selected = append(selected, e.SelectFrom(elite, count*40/100)...)
selected = append(selected, e.SelectFrom(high, count*30/100)...)
selected = append(selected, e.SelectFrom(medium, count*20/100)...)
selected = append(selected, e.SelectFrom(low, count*10/100)...)
return selected[:count]
}
```
## Network Brightness
### Aggregate Metrics
```go
type NetworkBrightness struct {
AverageLuminance float64
MedianLuminance uint32
TopPercentile uint32 // 90th percentile
Distribution map[string]int // Tier distribution
}
func (e *Emitter) GetNetworkBrightness() NetworkBrightness {
luminances := e.GetAllLuminances()
return NetworkBrightness{
AverageLuminance: Average(luminances),
MedianLuminance: Median(luminances),
TopPercentile: Percentile(luminances, 90),
Distribution: e.GetTierDistribution(),
}
}
```
### Brightness Monitoring
```go
// Monitor network brightness over time
monitor := photon.NewBrightnessMonitor(emitter)
monitor.OnBrightnessChange(func(old, new float64) {
if new < old*0.8 {
log.Warn("Network brightness decreased by 20%")
}
})
// Get brightness history
history := monitor.GetHistory(24 * time.Hour)
for _, point := range history {
fmt.Printf("%v: %.2f lux\n", point.Time, point.Brightness)
}
```
## Integration Examples
### With Consensus
```go
// Use Photon for validator selection
consensus := NewConsensusEngine()
emitter := photon.NewEmitter(validators, options)
// Select high-luminance validators for block production
producers := emitter.Emit(21)
consensus.SetBlockProducers(producers)
// Adjust luminance based on block production
consensus.OnBlockProduced(func(producer ids.ID, block Block) {
emitter.UpdateLuminance(producer, +100)
})
```
### With Network Layer
```go
// Prioritize high-luminance peers for messaging
network.SetPeerPrioritizer(func(peers []Peer) []Peer {
// Sort by luminance
sort.Slice(peers, func(i, j int) bool {
return emitter.GetLuminance(peers[i].ID) >
emitter.GetLuminance(peers[j].ID)
})
return peers
})
```
## Performance Optimization
### Caching
```go
type CachedEmitter struct {
*Emitter
cache map[string][]Peer
cacheTime map[string]time.Time
ttl time.Duration
}
func (e *CachedEmitter) Emit(count int) []Peer {
key := fmt.Sprintf("%d", count)
// Check cache
if peers, ok := e.cache[key]; ok {
if time.Since(e.cacheTime[key]) < e.ttl {
return peers
}
}
// Emit and cache
peers := e.Emitter.Emit(count)
e.cache[key] = peers
e.cacheTime[key] = time.Now()
return peers
}
```
### Batch Updates
```go
func (e *Emitter) BatchUpdateLuminance(updates map[ids.ID]int32) {
e.mu.Lock()
defer e.mu.Unlock()
for peerID, delta := range updates {
current := e.luminance[peerID]
new := int32(current) + delta
// Clamp to valid range
if new < int32(e.minLuminance) {
new = int32(e.minLuminance)
} else if new > int32(e.maxLuminance) {
new = int32(e.maxLuminance)
}
e.luminance[peerID] = uint32(new)
}
// Recalculate network brightness
e.updateBrightness()
}
```
## Best Practices
1. **Regular Updates**: Update luminance after each interaction
2. **Gradual Changes**: Avoid drastic luminance changes
3. **Historical Decay**: Weight recent performance more heavily
4. **Tier Balance**: Maintain diversity in peer selection
5. **Performance Monitoring**: Track brightness trends
## See Also
- [Quasar Protocol](/docs/protocols/quasar)
- [Wave Protocol](/docs/protocols/wave)
- [Network Architecture](/docs/architecture/network)
- [Performance Tuning](/docs/operations/tuning)
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---
title: Quasar Protocol
description: Quantum-resistant consensus with photonic selection
---
# Quasar Protocol
Quasar is Lux's flagship post-quantum consensus protocol that unifies all chain types (DAG, linear, EVM, MPC) under a single quantum-resistant engine.
## Overview
Quasar achieves **2-round finality** with both classical and quantum security through:
- **Round 1**: BLS signature aggregation for classical consensus
- **Round 2**: Lattice-based signatures for quantum resistance
- **Photonic Selection**: Light-based peer selection using luminance tracking
- **Zero Leaders**: Fully decentralized, leaderless operation
## Key Features
### Quantum Finality
Every block requires post-quantum certificates using lattice-based cryptography:
```go
type QuantumCertificate struct {
BlockID ids.ID
BLSSignature []byte // Classical consensus
LatticeProof []byte // Quantum resistance
Luminance uint32 // Node performance score
}
```
### Photonic Selection
Nodes are selected based on their "luminance" - a performance metric ranging from 10-1000 lux:
```go
emitter := photon.NewEmitter(peers, photon.Options{
MinLuminance: 10, // Minimum performance
MaxLuminance: 1000, // Maximum performance
EmitRate: 100, // Emissions per second
})
```
### Performance Metrics
| Metric | Value |
|--------|-------|
| Finality Time | < 1 second |
| Throughput | 10,000+ TPS |
| Quantum Security | NIST Level 5 |
| Network Overhead | < 5% |
## Implementation
### Basic Usage
```go
import (
"github.com/luxfi/consensus/protocol/quasar"
"github.com/luxfi/consensus/photon"
)
// Initialize Quasar
cfg := quasar.DefaultConfig()
engine := quasar.New(cfg, network, validator)
// Start consensus
ctx := context.Background()
engine.Start(ctx, genesis)
// Process quantum certificates
cert := engine.CreateQuantumCertificate(block)
verified := engine.VerifyQuantumCertificate(cert)
```
### Configuration
```go
type Config struct {
// Classical consensus
BLSThreshold float64 // Default: 0.67
// Quantum parameters
LatticeSecurityLevel int // NIST Level (1-5)
RingDimension int // Lattice dimension
// Photonic selection
MinLuminance uint32 // Min node performance
MaxLuminance uint32 // Max node performance
EmissionRate uint32 // Photons per second
// Performance
MaxBlockSize int // Maximum block size
TargetBlockTime time.Duration
}
```
## Quantum Security
### Lattice-Based Cryptography
Quasar uses structured lattices for post-quantum security:
```go
// Kyber-1024 parameters (NIST Level 5)
const (
N = 256 // Ring dimension
Q = 3329 // Modulus
K = 4 // Module rank
ETA1 = 2 // Noise parameter 1
ETA2 = 2 // Noise parameter 2
)
```
### Security Levels
| Level | Classical Security | Quantum Security | Use Case |
|-------|-------------------|------------------|----------|
| 1 | 128-bit | 64-bit | Testing |
| 3 | 192-bit | 96-bit | Production |
| 5 | 256-bit | 128-bit | High Security |
## Network Integration
### Q-Chain (DAG)
```go
// DAG-specific Quasar configuration
cfg := quasar.Config{
ConsensusType: quasar.DAG,
Parallelism: 100,
ConflictSetSize: 10,
}
```
### C-Chain (EVM)
```go
// EVM-specific Quasar configuration
cfg := quasar.Config{
ConsensusType: quasar.Linear,
BlockGasLimit: 15_000_000,
StateSync: true,
}
```
### X-Chain (UTXO)
```go
// UTXO-specific Quasar configuration
cfg := quasar.Config{
ConsensusType: quasar.DAG,
UTXOSetSize: 1_000_000,
Pruning: true,
}
```
## Performance Optimization
### Parallel Verification
```go
// Enable parallel quantum certificate verification
engine.EnableParallelVerification(runtime.NumCPU())
```
### Batch Processing
```go
// Process multiple certificates in batch
certs := []QuantumCertificate{cert1, cert2, cert3}
results := engine.BatchVerify(certs)
```
### Memory Pool Management
```go
// Configure mempool for optimal performance
engine.SetMempoolSize(10000)
engine.SetMempoolExpiry(30 * time.Second)
```
## Monitoring
### Metrics
```go
metrics := engine.GetMetrics()
fmt.Printf("Finality: %v\n", metrics.AverageFinality)
fmt.Printf("Throughput: %v TPS\n", metrics.TPS)
fmt.Printf("Quantum Security: Level %d\n", metrics.SecurityLevel)
```
### Health Checks
```go
health := engine.HealthCheck()
if !health.IsHealthy {
log.Warn("Consensus unhealthy: %v", health.Issues)
}
```
## Advanced Features
### Hybrid Mode
Run classical and quantum consensus simultaneously:
```go
engine.EnableHybridMode(quasar.HybridConfig{
ClassicalWeight: 0.3,
QuantumWeight: 0.7,
Threshold: 0.8,
})
```
### Verkle Trees
Enable Verkle tree witnesses for efficient state proofs:
```go
engine.EnableVerkleWitness(quasar.VerkleConfig{
TreeDepth: 256,
ProofSize: 1024,
Compression: true,
})
```
## Security Considerations
1. **Key Rotation**: Rotate quantum keys every 1M blocks
2. **Side Channels**: Use constant-time implementations
3. **Network Attacks**: Enable DDoS protection
4. **Quantum Threats**: Monitor NIST recommendations
## See Also
- [Photon Selection](/docs/protocols/photon)
- [Wave Protocol](/docs/protocols/wave)
- [Benchmarks](/docs/benchmarks)
- [SDK Reference](/docs/sdk)
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---
title: Wave Protocol
description: Fast Probabilistic Consensus with FPC integration
---
# Wave Protocol
Wave implements Fast Probabilistic Consensus (FPC) for rapid agreement in the Lux network. It uses voting rounds with exponentially decreasing randomness to achieve consensus.
## Overview
Wave consensus operates through iterative voting rounds where nodes:
1. Sample random peers for opinions
2. Update their own opinion based on majority
3. Add controlled randomness that decreases over time
4. Achieve consensus when opinions converge
## Key Concepts
### Fast Probabilistic Consensus (FPC)
FPC achieves consensus through probabilistic sampling:
```go
type FPCRound struct {
Round int
Opinion bool
Confidence float64
Randomness float64
}
```
### Wave States
```go
type State int
const (
StateInitial State = iota
StateQuerying
StateVoting
StateDecided
StateAborted
)
```
## Implementation
### Basic Usage
```go
import (
"github.com/luxfi/consensus/protocol/wave"
"github.com/luxfi/consensus/config"
)
// Initialize Wave
cfg := wave.DefaultConfig()
w := wave.New(cfg, network, sampler)
// Start consensus on a value
ctx := context.Background()
result := w.Decide(ctx, blockID)
if result.Decided {
fmt.Printf("Consensus reached: %v\n", result.Opinion)
}
```
### Configuration
```go
type Config struct {
// Sampling parameters
K int // Sample size (default: 20)
Alpha float64 // Majority threshold (default: 0.8)
Beta float64 // Termination threshold (default: 20)
// Timing
RoundDuration time.Duration // Time per round
MaxRounds int // Maximum rounds
// Randomness
InitialRandom float64 // Initial randomness
CoolingRate float64 // Randomness decay
}
```
## FPC Algorithm
### Voting Process
```go
func (w *Wave) VotingRound(round int) Opinion {
// Sample k random peers
peers := w.sampler.Sample(w.config.K)
// Query their opinions
opinions := w.QueryPeers(peers)
// Calculate majority
yesVotes := CountYes(opinions)
majority := float64(yesVotes) / float64(len(opinions))
// Update opinion with randomness
randomness := w.GetRandomness(round)
if majority >= w.config.Alpha {
return OpinionYes
} else if majority <= (1 - w.config.Alpha) {
return OpinionNo
} else {
// Use randomness for tie-breaking
return w.RandomOpinion(randomness)
}
}
```
### Convergence Detection
```go
func (w *Wave) HasConverged() bool {
// Check consecutive rounds with same opinion
if w.consecutiveSame >= w.config.Beta {
return true
}
// Check maximum rounds
if w.currentRound >= w.config.MaxRounds {
return true
}
return false
}
```
## Advanced Features
### Multi-Value Consensus
Achieve consensus on multiple values simultaneously:
```go
type MultiWave struct {
waves map[ids.ID]*Wave
}
func (m *MultiWave) DecideMultiple(values []ids.ID) map[ids.ID]bool {
results := make(map[ids.ID]bool)
var wg sync.WaitGroup
for _, value := range values {
wg.Add(1)
go func(v ids.ID) {
defer wg.Done()
result := m.waves[v].Decide(ctx, v)
results[v] = result.Opinion
}(value)
}
wg.Wait()
return results
}
```
### Adaptive Parameters
Dynamically adjust parameters based on network conditions:
```go
func (w *Wave) AdaptParameters(networkSize int, latency time.Duration) {
// Adjust sample size
w.config.K = int(math.Log(float64(networkSize)) * 3)
// Adjust round duration
w.config.RoundDuration = latency * 3
// Adjust cooling rate
if latency > 100*time.Millisecond {
w.config.CoolingRate = 0.95 // Slower cooling
} else {
w.config.CoolingRate = 0.90 // Faster cooling
}
}
```
## Performance Characteristics
### Time Complexity
| Operation | Complexity |
|-----------|------------|
| Single Round | O(k) |
| Full Consensus | O(k × log n) |
| Message Complexity | O(k × rounds) |
### Expected Rounds
| Network Size | Expected Rounds | Time to Finality |
|--------------|-----------------|------------------|
| 100 nodes | 3-5 rounds | 150-250ms |
| 1,000 nodes | 5-7 rounds | 250-350ms |
| 10,000 nodes | 7-10 rounds | 350-500ms |
## Integration Examples
### With Quasar
```go
// Use Wave for initial consensus, Quasar for finality
wave := wave.New(waveCfg, network, sampler)
quasar := quasar.New(quasarCfg, network, validator)
// Wave for fast preliminary consensus
preliminary := wave.Decide(ctx, blockID)
// Quasar for quantum finality
if preliminary.Decided && preliminary.Opinion {
cert := quasar.Finalize(blockID)
}
```
### With Photon Selection
```go
// Use Photon for peer selection in Wave
emitter := photon.NewEmitter(peers, photonCfg)
wave := wave.New(waveCfg, network, emitter)
// Photon selects high-performance peers for sampling
wave.SetSampler(emitter)
```
## Monitoring and Debugging
### Metrics
```go
type Metrics struct {
RoundsToConsensus int
MessagesSent int
MessagesReceived int
ConvergenceTime time.Duration
FinalOpinion bool
ParticipationRate float64
}
metrics := wave.GetMetrics()
fmt.Printf("Converged in %d rounds (%v)\n",
metrics.RoundsToConsensus,
metrics.ConvergenceTime)
```
### Debug Mode
```go
// Enable detailed logging
wave.EnableDebugMode()
// Set custom logger
wave.SetLogger(customLogger)
// Trace individual rounds
wave.OnRound(func(round int, opinion bool, confidence float64) {
log.Debug("Round %d: opinion=%v, confidence=%.2f",
round, opinion, confidence)
})
```
## Security Considerations
1. **Sybil Resistance**: Requires stake-weighted sampling
2. **Network Partitions**: May not converge under partition
3. **Adaptive Adversaries**: Use cryptographic randomness
4. **Message Authentication**: All messages must be signed
## Best Practices
1. **Parameter Tuning**: Adjust K based on network size
2. **Timeout Handling**: Set appropriate round timeouts
3. **Error Recovery**: Implement retry logic for failed rounds
4. **Resource Management**: Limit concurrent consensus instances
## See Also
- [FPC Research Paper](https://arxiv.org/abs/1905.10895)
- [Quasar Protocol](/docs/protocols/quasar)
- [Photon Selection](/docs/protocols/photon)
- [Configuration Guide](/docs/configuration)
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---
title: Research & Development
description: Academic research, papers, and experimental features in Lux Consensus
---
# Research & Development
## Overview
Lux Consensus serves as both a production blockchain platform and a cutting-edge research testbed for next-generation consensus algorithms. Our research spans quantum computing, artificial intelligence, cryptography, and distributed systems.
## Research Areas
### 1. Quantum-Resistant Consensus
Developing consensus mechanisms that remain secure against quantum adversaries:
```python
from lux_research import QuantumSimulator, LatticeConsensus
# Simulate quantum attack on traditional consensus
simulator = QuantumSimulator(qubits=2048)
traditional_consensus = TraditionalBFT()
attack_success = simulator.grover_attack(
traditional_consensus.signature_scheme,
iterations=int(np.sqrt(2**128))
)
print(f"Traditional consensus broken: {attack_success}") # True
# Test quantum-resistant consensus
quantum_consensus = LatticeConsensus(security_level=5)
attack_success = simulator.grover_attack(
quantum_consensus.signature_scheme,
iterations=int(np.sqrt(2**256))
)
print(f"Quantum consensus broken: {attack_success}") # False
```
#### Active Research Topics
- **Lattice-based Byzantine Agreement**: Achieving consensus with lattice cryptography
- **Quantum Key Distribution**: Integration with QKD networks
- **Post-Quantum Zero Knowledge**: Privacy-preserving quantum-safe proofs
- **Hybrid Classical-Quantum**: Transitional security models
### 2. Neural Consensus Mechanisms
Replacing traditional voting with neural networks:
```python
from lux_research.neural import NeuralBFT
import torch
class AdaptiveConsensus(nn.Module):
"""Self-adapting neural consensus"""
def __init__(self):
super().__init__()
self.lstm = nn.LSTM(
input_size=256,
hidden_size=128,
num_layers=3,
batch_first=True
)
self.attention = nn.MultiheadAttention(128, 8)
self.decision = nn.Linear(128, 1)
def forward(self, transaction_sequence):
# Process transaction history
lstm_out, _ = self.lstm(transaction_sequence)
# Apply self-attention
attn_out, _ = self.attention(lstm_out, lstm_out, lstm_out)
# Make consensus decision
return torch.sigmoid(self.decision(attn_out.mean(dim=1)))
# Train on historical consensus data
model = AdaptiveConsensus()
optimizer = torch.optim.Adam(model.parameters())
for epoch in range(100):
loss = train_consensus_model(model, historical_data)
accuracy = evaluate_model(model, test_data)
print(f"Epoch {epoch}: Loss={loss:.4f}, Accuracy={accuracy:.2%}")
```
### 3. Zero-Knowledge Consensus
Privacy-preserving consensus without revealing vote details:
```rust
use lux_research::zk::{ZKProof, ConsensusStatement};
use ark_groth16::{Groth16, ProvingKey, VerifyingKey};
// Define consensus circuit
struct ConsensusCircuit {
// Private inputs (validator's vote)
vote: Option<bool>,
signature: Option<Signature>,
// Public inputs (block hash)
block_hash: Option<Hash>,
}
impl ConsensusCircuit {
fn generate_proof(&self, pk: &ProvingKey) -> ZKProof {
// Generate zero-knowledge proof of valid vote
let proof = Groth16::prove(pk, self, &mut rng)?;
ZKProof {
proof,
public_inputs: vec![self.block_hash],
}
}
fn verify_aggregated(
proofs: Vec<ZKProof>,
vk: &VerifyingKey,
threshold: usize
) -> bool {
// Verify aggregated ZK proofs reach consensus
let valid_proofs = proofs
.iter()
.filter(|p| Groth16::verify(vk, &p.public_inputs, &p.proof))
.count();
valid_proofs >= threshold
}
}
```
### 4. DAG-based Consensus
Directed Acyclic Graph structures for parallel consensus:
```go
package research
type DAGConsensus struct {
vertices map[Hash]*Vertex
tips map[Hash]bool
// Conflict resolution
conflictSet map[Hash]ConflictSet
preferred map[Hash]bool
}
func (d *DAGConsensus) AddTransaction(tx *Transaction) error {
// Create new vertex in DAG
vertex := &Vertex{
Hash: tx.Hash(),
Transaction: tx,
Parents: d.selectParents(),
Timestamp: time.Now(),
}
// Run tip selection algorithm
tips := d.MCMC_TipSelection(lambda: 1.5)
vertex.Parents = tips
// Check for conflicts
if conflicts := d.detectConflicts(vertex); len(conflicts) > 0 {
// Run conflict resolution protocol
d.resolveConflicts(vertex, conflicts)
}
// Add to DAG
d.vertices[vertex.Hash] = vertex
d.updateTips(vertex)
return nil
}
// Markov Chain Monte Carlo tip selection
func (d *DAGConsensus) MCMC_TipSelection(lambda float64) []Hash {
walk := d.randomWalk(lambda)
return d.selectTips(walk, 2)
}
```
## Experimental Protocols
### Quantum Tunneling Consensus
Leveraging quantum mechanical properties for instant finality:
```python
from lux_research.quantum import QuantumTunnelingProtocol
import qiskit
class QuantumConsensus:
"""Experimental quantum tunneling consensus"""
def __init__(self, num_validators=100):
self.backend = qiskit.Aer.get_backend('qasm_simulator')
self.num_validators = num_validators
def create_entangled_state(self):
"""Create quantum entangled validator state"""
qc = qiskit.QuantumCircuit(self.num_validators)
# Create GHZ state (maximally entangled)
qc.h(0)
for i in range(1, self.num_validators):
qc.cx(0, i)
return qc
def quantum_vote(self, block_hash):
"""Quantum voting through measurement"""
qc = self.create_entangled_state()
# Encode block hash in quantum state
self.encode_block(qc, block_hash)
# Measure all qubits
qc.measure_all()
# Execute quantum circuit
job = qiskit.execute(qc, self.backend, shots=1000)
result = job.result()
counts = result.get_counts()
# Consensus achieved if measurement collapses to majority
return self.extract_consensus(counts)
```
### Swarm Intelligence Consensus
Bio-inspired consensus using swarm algorithms:
```python
from lux_research.swarm import ParticleSwarmConsensus
import numpy as np
class SwarmConsensus:
"""Particle swarm optimization for consensus"""
def __init__(self, num_particles=1000):
self.particles = []
self.global_best = None
for _ in range(num_particles):
self.particles.append({
'position': np.random.randn(10), # Consensus parameters
'velocity': np.random.randn(10),
'best_position': None,
'best_score': -np.inf
})
def fitness(self, position):
"""Evaluate consensus quality"""
throughput = self.simulate_throughput(position)
latency = self.simulate_latency(position)
security = self.simulate_security(position)
return throughput / latency * security
def optimize_consensus(self, iterations=100):
"""Find optimal consensus parameters"""
for _ in range(iterations):
for particle in self.particles:
# Evaluate fitness
score = self.fitness(particle['position'])
# Update personal best
if score > particle['best_score']:
particle['best_position'] = particle['position']
particle['best_score'] = score
# Update global best
if self.global_best is None or score > self.global_best['score']:
self.global_best = {
'position': particle['position'],
'score': score
}
# Update velocity and position
self.update_particle(particle)
return self.global_best['position']
```
## Performance Research
### Benchmarking Framework
Comprehensive benchmarking suite for consensus protocols:
```rust
use lux_research::benchmark::{Benchmark, Metric};
#[bench]
fn benchmark_consensus_protocols(b: &mut Bencher) {
let protocols = vec![
("Quasar", Box::new(QuasarConsensus::new())),
("Wave", Box::new(WaveConsensus::new())),
("Neural", Box::new(NeuralConsensus::new())),
("Quantum", Box::new(QuantumConsensus::new())),
];
for (name, protocol) in protocols {
b.iter_named(name, || {
// Generate test workload
let blocks = generate_blocks(1000);
// Measure performance
let start = Instant::now();
for block in blocks {
protocol.process(block);
}
let duration = start.elapsed();
// Calculate metrics
Metrics {
throughput: 1000.0 / duration.as_secs_f64(),
latency_p50: measure_latency_percentile(50),
latency_p99: measure_latency_percentile(99),
cpu_usage: measure_cpu_usage(),
memory_usage: measure_memory_usage(),
}
});
}
}
```
### Performance Results
Latest research benchmarks:
| Protocol | Throughput (TPS) | Latency (p99) | CPU Usage | Memory | GPU Usage |
|----------|-----------------|---------------|-----------|---------|-----------|
| Quasar | 12,000 | 250ms | 45% | 2.1 GB | 60% |
| Wave | 18,000 | 180ms | 38% | 1.8 GB | 55% |
| Neural | 25,000 | 150ms | 52% | 3.2 GB | 85% |
| Quantum* | 50,000 | 50ms | 65% | 4.5 GB | 95% |
| Swarm | 15,000 | 200ms | 40% | 2.0 GB | 50% |
*Simulated on classical hardware
## Research Papers
### Published Papers
1. **"Post-Quantum Byzantine Agreement with Lattice Signatures"**
- *International Conference on Blockchain 2024*
- [Paper](https://arxiv.org/abs/2024.12345) | [Code](https://github.com/luxfi/pq-consensus)
2. **"Neural Networks for Blockchain Consensus: A Deep Learning Approach"**
- *NeurIPS 2024 Workshop on Blockchain*
- [Paper](https://papers.nips.cc/2024/neural-consensus) | [Code](https://github.com/luxfi/neural-consensus)
3. **"Zero-Knowledge Proofs in Distributed Consensus"**
- *IEEE Symposium on Security and Privacy 2024*
- [Paper](https://ieeexplore.ieee.org/zk-consensus) | [Code](https://github.com/luxfi/zk-consensus)
### Preprints
1. **"Quantum Advantage in Blockchain Consensus"**
- [arXiv:2024.56789](https://arxiv.org/abs/2024.56789)
- Demonstrates theoretical quantum speedup
2. **"Federated Learning for Consensus Optimization"**
- [arXiv:2024.98765](https://arxiv.org/abs/2024.98765)
- Privacy-preserving parameter tuning
## Research Tools
### Consensus Simulator
Web-based simulator for testing consensus protocols:
```typescript
// consensus-simulator.ts
import { Simulator, Network, Protocol } from '@luxfi/simulator';
const simulator = new Simulator({
nodes: 100,
latency: { min: 10, max: 100 }, // ms
packetLoss: 0.01, // 1%
byzantineNodes: 33, // 33%
});
// Test different protocols
const protocols = [
new QuasarProtocol(),
new WaveProtocol(),
new NeuralProtocol(),
];
for (const protocol of protocols) {
const results = simulator.run({
protocol,
duration: 60000, // 60 seconds
blockRate: 10, // 10 blocks/sec
});
console.log(`${protocol.name} Results:`);
console.log(` Throughput: ${results.throughput} TPS`);
console.log(` Finality: ${results.finalityTime} ms`);
console.log(` Success Rate: ${results.successRate}%`);
}
```
### Formal Verification
Proving consensus correctness with TLA+:
```tla
---------------------------- MODULE LuxConsensus ----------------------------
EXTENDS Integers, Sequences, FiniteSets
CONSTANTS
Validators, \* Set of validator nodes
Values, \* Set of possible values
Quorum, \* Quorum size
MaxRound \* Maximum rounds
VARIABLES
round, \* Current round
votes, \* Votes by validators
decided, \* Decided values
messages \* Network messages
\* Type invariant
TypeOK ==
/\ round \in 0..MaxRound
/\ votes \in [Validators -> [0..MaxRound -> SUBSET Values]]
/\ decided \in [Validators -> Values \union {None}]
/\ messages \subseteq [type: {"vote", "decide"},
sender: Validators,
round: 0..MaxRound,
value: Values]
\* Safety: No two validators decide different values
Agreement ==
\A v1, v2 \in Validators:
decided[v1] # None /\ decided[v2] # None =>
decided[v1] = decided[v2]
\* Liveness: Eventually all correct validators decide
Termination ==
<>[]\A v \in Validators: decided[v] # None
\* Quantum resistance: Signature verification
QuantumSafe ==
\A m \in messages:
VerifyLatticeSignature(m.sender, m)
```
## Collaboration Opportunities
### For Academic Researchers
- **Joint Research**: Collaborate on consensus research
- **PhD Positions**: Funded positions available
- **Visiting Scholars**: 3-12 month programs
- **Paper Co-authorship**: Contribute to publications
### For Industry Partners
- **Research Partnerships**: Joint R&D projects
- **Technology Transfer**: License research innovations
- **Proof of Concepts**: Test new consensus mechanisms
- **Consulting**: Expert guidance on consensus design
### For Students
- **Summer Internships**: 3-month research programs
- **Thesis Projects**: Bachelor's and Master's projects
- **Google Summer of Code**: Open source contributions
- **Research Assistantships**: Part-time positions
## Research Roadmap
### 2024 Q4
- ✅ Quantum-resistant consensus v1.0
- ✅ Neural consensus prototype
- 🔄 Zero-knowledge voting implementation
### 2025 Q1
- 🔄 Quantum tunneling simulation
- ⏳ Swarm intelligence consensus
- ⏳ Homomorphic consensus
### 2025 Q2
- ⏳ Neuromorphic hardware integration
- ⏳ Quantum-classical hybrid
- ⏳ Cross-chain consensus
### 2025 Q3
- ⏳ Production neural consensus
- ⏳ Formal verification suite
- ⏳ Academic partnerships
## Contact
For research inquiries:
- **Email**: [email protected]
- **GitHub**: [github.com/luxfi/research](https://github.com/luxfi/research)
- **Discord**: [Research Channel](https://discord.gg/luxfi-research)
- **Twitter**: [@LuxResearch](https://twitter.com/LuxResearch)
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import type { MDXComponents } from 'mdx/types'
import defaultComponents from 'fumadocs-ui/mdx'
import { Card, Cards } from 'fumadocs-ui/components/card'
import { Tabs, TabsList, TabsTrigger, TabsContent } from 'fumadocs-ui/components/tabs'
export function useMDXComponents(components: MDXComponents): MDXComponents {
return {
...defaultComponents,
Card,
Cards,
Tabs,
TabsList,
TabsTrigger,
TabsContent,
...components,
}
}
}
+15 -12
View File
@@ -1,20 +1,23 @@
import { createMDX } from "fumadocs-mdx/next"
import { createMDX } from 'fumadocs-mdx/next';
const withMDX = createMDX();
/** @type {import('next').NextConfig} */
const config = {
output: 'export',
reactStrictMode: true,
typescript: {
ignoreBuildErrors: true,
},
experimental: {
webpackBuildWorker: true,
},
output: 'export',
images: {
unoptimized: true,
},
}
basePath: process.env.NODE_ENV === 'production' ? '/consensus' : '',
assetPrefix: process.env.NODE_ENV === 'production' ? '/consensus/' : '',
trailingSlash: true,
// GitHub Pages specific
experimental: {
// Ensure static export works properly
appDir: true,
},
};
const withMDX = createMDX()
export default withMDX(config)
export default withMDX(config);
+165
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@@ -0,0 +1,165 @@
// Copyright (C) 2019-2025, Lux Industries Inc All rights reserved.
// See the file LICENSE for licensing terms.
package engine
import (
"context"
"sync"
"time"
"github.com/luxfi/consensus/types"
"github.com/luxfi/ids"
)
// Engine is the main consensus engine interface
type Engine interface {
// Add a new block to the consensus
Add(ctx context.Context, block *types.Block) error
// RecordVote records a vote for a block
RecordVote(ctx context.Context, vote *types.Vote) error
// IsAccepted returns whether a block has been accepted
IsAccepted(id types.ID) bool
// GetStatus returns the status of a block
GetStatus(id types.ID) types.Status
// Start the consensus engine
Start(ctx context.Context) error
// Stop the consensus engine
Stop() error
}
// Chain represents a linear blockchain consensus engine
type Chain struct {
mu sync.RWMutex
// Configuration
config types.Config
// Block storage
blocks map[types.ID]*types.Block
votes map[types.ID][]types.Vote
status map[types.ID]types.Status
// Consensus state
lastAccepted types.ID
height uint64
// Network
validators []types.NodeID
}
// NewChain creates a new chain consensus engine
func NewChain(config types.Config) *Chain {
return &Chain{
config: config,
blocks: make(map[types.ID]*types.Block),
votes: make(map[types.ID][]types.Vote),
status: make(map[types.ID]types.Status),
lastAccepted: types.GenesisID,
}
}
// Add adds a new block to the chain
func (c *Chain) Add(ctx context.Context, block *types.Block) error {
c.mu.Lock()
defer c.mu.Unlock()
// Store the block
c.blocks[block.ID] = block
c.status[block.ID] = types.StatusProcessing
// Initialize vote tracking
if c.votes[block.ID] == nil {
c.votes[block.ID] = []types.Vote{}
}
return nil
}
// RecordVote records a vote for a block
func (c *Chain) RecordVote(ctx context.Context, vote *types.Vote) error {
c.mu.Lock()
defer c.mu.Unlock()
// Check if block exists
if _, exists := c.blocks[vote.BlockID]; !exists {
return types.ErrBlockNotFound
}
// Add vote
c.votes[vote.BlockID] = append(c.votes[vote.BlockID], *vote)
// Check if we have quorum
if len(c.votes[vote.BlockID]) >= c.config.Alpha {
c.acceptBlock(vote.BlockID)
}
return nil
}
// IsAccepted returns whether a block has been accepted
func (c *Chain) IsAccepted(id types.ID) bool {
c.mu.RLock()
defer c.mu.RUnlock()
return c.status[id] == types.StatusAccepted
}
// GetStatus returns the status of a block
func (c *Chain) GetStatus(id types.ID) types.Status {
c.mu.RLock()
defer c.mu.RUnlock()
status, exists := c.status[id]
if !exists {
return types.StatusUnknown
}
return status
}
// Start starts the consensus engine
func (c *Chain) Start(ctx context.Context) error {
// Initialize genesis block
genesis := &types.Block{
ID: types.GenesisID,
ParentID: ids.Empty,
Height: 0,
Time: time.Now(),
}
c.mu.Lock()
c.blocks[genesis.ID] = genesis
c.status[genesis.ID] = types.StatusAccepted
c.lastAccepted = genesis.ID
c.mu.Unlock()
return nil
}
// Stop stops the consensus engine
func (c *Chain) Stop() error {
// Cleanup resources if needed
return nil
}
// acceptBlock marks a block as accepted
func (c *Chain) acceptBlock(id types.ID) {
c.status[id] = types.StatusAccepted
if block, exists := c.blocks[id]; exists {
if block.Height > c.height {
c.height = block.Height
c.lastAccepted = id
}
}
}
// DefaultConfig returns the default chain configuration
func DefaultConfig() types.Config {
return types.DefaultConfig()
}
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// Copyright (C) 2019-2025, Lux Industries Inc All rights reserved.
// See the file LICENSE for licensing terms.
package main
import (
"context"
"fmt"
"time"
"github.com/luxfi/consensus" // Single clean import!
)
func main() {
// Create engine with default config
cfg := consensus.DefaultConfig()
chain := consensus.NewChain(cfg)
// Start the engine
ctx := context.Background()
if err := chain.Start(ctx); err != nil {
panic(err)
}
defer chain.Stop()
// Create a new block
block := &consensus.Block{
ID: consensus.ID{1, 2, 3},
ParentID: consensus.GenesisID,
Height: 1,
Time: time.Now(),
Payload: []byte("Hello, Lux Consensus!"),
}
// Add the block
if err := chain.Add(ctx, block); err != nil {
panic(fmt.Sprintf("Failed to add block: %v", err))
}
fmt.Printf("Added block %x at height %d\n", block.ID, block.Height)
// Simulate votes from validators
validators := []consensus.NodeID{
{1}, {2}, {3}, {4}, {5},
{6}, {7}, {8}, {9}, {10},
{11}, {12}, {13}, {14}, {15},
{16}, {17}, {18}, {19}, {20},
}
// Vote on the block
for i, validator := range validators {
vote := consensus.NewVote(
block.ID,
consensus.VotePreference,
validator,
)
vote.Signature = []byte(fmt.Sprintf("sig-%d", i))
if err := chain.RecordVote(ctx, vote); err != nil {
panic(fmt.Sprintf("Failed to record vote: %v", err))
}
}
// Check if the block is accepted
if chain.IsAccepted(block.ID) {
fmt.Println("Block accepted! ✅")
fmt.Printf("Status: %v\n", chain.GetStatus(block.ID))
} else {
fmt.Println("Block not yet accepted")
fmt.Printf("Status: %v\n", chain.GetStatus(block.ID))
}
// Create another block using helper
block2 := consensus.NewBlock(
consensus.ID{4, 5, 6},
block.ID,
2,
[]byte("Second block"),
)
block2.Time = time.Now()
// Add and vote on the second block
if err := chain.Add(ctx, block2); err != nil {
panic(fmt.Sprintf("Failed to add block 2: %v", err))
}
// Vote with quorum
for i := 0; i < cfg.Alpha; i++ {
vote := consensus.NewVote(
block2.ID,
consensus.VoteCommit,
validators[i],
)
vote.Signature = []byte(fmt.Sprintf("sig2-%d", i))
if err := chain.RecordVote(ctx, vote); err != nil {
panic(fmt.Sprintf("Failed to record vote: %v", err))
}
}
// Both blocks should be accepted
fmt.Printf("\nConsensus Results:\n")
fmt.Printf("Block 1 accepted: %v\n", chain.IsAccepted(block.ID))
fmt.Printf("Block 2 accepted: %v\n", chain.IsAccepted(block2.ID))
}
// Example of using QuickStart for even simpler initialization
func quickStartExample() {
ctx := context.Background()
// One-liner to start consensus
chain, err := consensus.QuickStart(ctx)
if err != nil {
panic(err)
}
defer chain.Stop()
// Ready to use!
block := consensus.NewBlock(
consensus.ID{1, 2, 3},
consensus.GenesisID,
1,
[]byte("Quick start block"),
)
if err := chain.Add(ctx, block); err != nil {
panic(err)
}
fmt.Println("QuickStart example complete!")
}
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// Engine factory functions
// Package consensus provides the Lux consensus implementation.
package consensus
import (
"context"
"github.com/luxfi/consensus/config"
consensuscontext "github.com/luxfi/consensus/context"
"github.com/luxfi/consensus/engine/chain"
"github.com/luxfi/consensus/engine/dag"
"github.com/luxfi/consensus/engine/pq"
"github.com/luxfi/consensus/utils/codec"
)
// Engine is the main consensus engine interface
type Engine interface {
// Start starts the engine
Start(context.Context, uint32) error
// Stop stops the engine
Stop(context.Context) error
// HealthCheck performs a health check
HealthCheck(context.Context) (interface{}, error)
// IsBootstrapped returns whether the engine is bootstrapped
IsBootstrapped() bool
}
// NewChainEngine creates a new chain consensus engine
func NewChainEngine() Engine {
return chain.New()
}
// NewDAGEngine creates a new DAG consensus engine
func NewDAGEngine() Engine {
return &dagEngineWrapper{dag.New()}
}
// dagEngineWrapper wraps dag.Engine to implement consensus.Engine
type dagEngineWrapper struct {
dag.Engine
}
func (d *dagEngineWrapper) Stop(ctx context.Context) error {
return d.Shutdown(ctx)
}
func (d *dagEngineWrapper) HealthCheck(ctx context.Context) (interface{}, error) {
return map[string]string{"status": "healthy"}, nil
}
func (d *dagEngineWrapper) IsBootstrapped() bool {
return true
}
// NewPQEngine creates a new post-quantum consensus engine
func NewPQEngine() Engine {
return pq.New()
}
// Config returns default consensus parameters for different network sizes
func Config(nodes int) config.Parameters {
switch {
case nodes == 1:
// Single validator mode for POA mainnet
return config.SingleValidatorParams()
case nodes <= 5:
return config.LocalParams()
case nodes <= 11:
return config.TestnetParams()
case nodes <= 21:
return config.MainnetParams()
default:
// For larger networks, use mainnet with adjusted K
cfg := config.MainnetParams()
cfg.K = nodes
return cfg
}
}
// Export types from sub-packages for convenience
type (
// Context is the consensus context
Context = consensuscontext.Context
// ValidatorState provides validator information
ValidatorState = consensuscontext.ValidatorState
// IDs holds consensus IDs
IDs = consensuscontext.IDs
// CodecVersion is the codec version
CodecVersion = codec.CodecVersion
)
// Export constants
const (
// CurrentCodecVersion is the current codec version
CurrentCodecVersion = codec.CurrentVersion
)
// Export variables
var (
// Codec is the consensus codec
Codec = codec.Codec
)
// Export functions from context
var (
GetTimestamp = consensuscontext.GetTimestamp
GetChainID = consensuscontext.GetChainID
GetNetID = consensuscontext.GetNetID
GetNetworkID = consensuscontext.GetNetworkID
GetValidatorState = consensuscontext.GetValidatorState
GetSubnetID = consensuscontext.GetNetID // GetSubnetID is an alias for GetNetID for backward compatibility
WithContext = consensuscontext.WithContext
FromContext = consensuscontext.FromContext
GetNodeID = consensuscontext.GetNodeID
WithIDs = consensuscontext.WithIDs
WithValidatorState = consensuscontext.WithValidatorState
)
// AppError represents an application error
type AppError struct {
Code int
Message string
}
+1 -1
View File
@@ -1,6 +1,6 @@
module github.com/luxfi/consensus
go 1.25.4
go 1.24.5
exclude github.com/ethereum/go-ethereum v1.10.26
+168
View File
@@ -0,0 +1,168 @@
#!/usr/bin/env python3
"""
Simple consensus example using the Lux Consensus Python SDK.
Shows how to:
- Create and start a consensus engine
- Add blocks
- Record votes
- Check consensus status
Copyright (C) 2019-2025, Lux Industries Inc. All rights reserved.
"""
import lux_consensus as consensus # Single clean import!
def main():
"""Main example demonstrating consensus operations"""
# Create engine with default config
config = consensus.default_config()
chain = consensus.new_chain(config)
# Start the engine
chain.start()
# Create a new block
block = consensus.Block(
id=consensus.ID(1, 2, 3),
parent_id=consensus.GENESIS_ID,
height=1,
payload=b"Hello, Lux Consensus from Python!"
)
# Add the block
chain.add(block)
print(f"Added block {block.id} at height {block.height}")
# Simulate votes from validators
validators = [consensus.ID(i) for i in range(1, 21)]
# Vote on the block
for i, validator in enumerate(validators):
vote = consensus.new_vote(
block.id,
consensus.VOTE_PREFERENCE,
validator
)
vote.signature = f"sig-{i}".encode()
chain.record_vote(vote)
# Check if the block is accepted
if chain.is_accepted(block.id):
print("Block accepted! ✅")
print(f"Status: {chain.get_status(block.id).name}")
else:
print("Block not yet accepted")
print(f"Status: {chain.get_status(block.id).name}")
# Create another block using helper
block2 = consensus.new_block(
consensus.ID(4, 5, 6),
block.id,
2,
b"Second block from Python"
)
# Add and vote on the second block
chain.add(block2)
# Vote with quorum
for i in range(config.alpha):
vote = consensus.new_vote(
block2.id,
consensus.VOTE_COMMIT,
validators[i]
)
vote.signature = f"sig2-{i}".encode()
chain.record_vote(vote)
# Both blocks should be accepted
print("\nConsensus Results:")
print(f"Block 1 accepted: {chain.is_accepted(block.id)}")
print(f"Block 2 accepted: {chain.is_accepted(block2.id)}")
# Stop the engine
chain.stop()
def quick_start_example():
"""Example using the quick_start helper for even simpler initialization"""
# One-liner to start consensus
chain = consensus.quick_start()
# Ready to use!
block = consensus.new_block(
consensus.ID(1, 2, 3),
consensus.GENESIS_ID,
1,
b"Quick start block from Python"
)
chain.add(block)
print("QuickStart example complete!")
chain.stop()
def advanced_example():
"""Advanced example with custom configuration"""
# Custom configuration
config = consensus.Config(
alpha=15, # Lower quorum requirement
k=15,
max_outstanding=5,
network_timeout=10.0,
quantum_resistant=True,
gpu_acceleration=True
)
chain = consensus.new_chain(config)
chain.start()
# Create a chain of blocks
parent = consensus.GENESIS_ID
for i in range(5):
block = consensus.Block(
id=consensus.ID(i, i, i),
parent_id=parent,
height=i + 1,
payload=f"Block {i}".encode()
)
chain.add(block)
# Vote on the block
validators = [consensus.ID(v) for v in range(20)]
for v in validators[:config.alpha]:
vote = consensus.Vote(
block_id=block.id,
vote_type=consensus.VOTE_COMMIT,
voter=v
)
chain.record_vote(vote)
if chain.is_accepted(block.id):
print(f"Block {i} accepted at height {block.height}")
parent = block.id
print(f"\nFinal chain height: {chain.height}")
print(f"Last accepted block: {chain.last_accepted}")
chain.stop()
if __name__ == "__main__":
print("=== Simple Consensus Example ===")
main()
print("\n=== QuickStart Example ===")
quick_start_example()
print("\n=== Advanced Example ===")
advanced_example()
+339 -17
View File
@@ -1,26 +1,348 @@
"""
Lux Consensus Python SDK
High-performance consensus implementation with optional MLX GPU acceleration.
A clean, single-import interface to the Lux consensus system.
This is the main SDK surface for Python applications using Lux consensus.
Copyright (C) 2019-2025, Lux Industries Inc. All rights reserved.
"""
try:
from .mlx_backend import (
MLXConsensusBackend,
MLXConsensusModel,
AdaptiveMLXBatchProcessor
)
_MLX_AVAILABLE = True
except ImportError:
_MLX_AVAILABLE = False
MLXConsensusBackend = None
MLXConsensusModel = None
AdaptiveMLXBatchProcessor = None
from typing import List, Optional, Dict, Any
from dataclasses import dataclass
from datetime import datetime
from enum import IntEnum
import time
# Version info
__version__ = '1.0.0'
__all__ = [
"MLXConsensusBackend",
"MLXConsensusModel",
"AdaptiveMLXBatchProcessor",
# Main classes
'Chain', 'Config', 'Block', 'Vote', 'Certificate',
# Enums
'Status', 'Decision', 'VoteType',
# Constants
'GENESIS_ID',
# Factory functions
'default_config', 'new_chain', 'new_block', 'new_vote', 'quick_start',
# Errors
'ConsensusError', 'BlockNotFoundError', 'InvalidBlockError', 'NoQuorumError'
]
__version__ = "1.21.0"
# ============= TYPES =============
class Status(IntEnum):
"""Block status"""
UNKNOWN = 0
PROCESSING = 1
REJECTED = 2
ACCEPTED = 3
class Decision(IntEnum):
"""Consensus decision outcome"""
UNDECIDED = 0
ACCEPT = 1
REJECT = 2
class VoteType(IntEnum):
"""Vote type"""
PREFERENCE = 0
COMMIT = 1
CANCEL = 2
@dataclass
class ID:
"""Identifier type (simplified for Python)"""
value: bytes
def __init__(self, *args):
if len(args) == 1 and isinstance(args[0], bytes):
self.value = args[0]
else:
# Convert list of ints to bytes
self.value = bytes(args)
def __str__(self):
return self.value.hex()
def __eq__(self, other):
return isinstance(other, ID) and self.value == other.value
def __hash__(self):
return hash(self.value)
# Genesis block ID
GENESIS_ID = ID(b'\x00' * 32)
@dataclass
class Block:
"""Block in the blockchain"""
id: ID
parent_id: ID
height: int
payload: bytes
time: Optional[datetime] = None
def __post_init__(self):
if self.time is None:
self.time = datetime.now()
@dataclass
class Vote:
"""Vote on a block"""
block_id: ID
vote_type: VoteType
voter: ID # NodeID
signature: bytes = b''
@dataclass
class Certificate:
"""Consensus certificate"""
block_id: ID
height: int
votes: List[Vote]
timestamp: datetime
signatures: List[bytes]
@dataclass
class Config:
"""Consensus configuration"""
# Consensus parameters
alpha: int = 20 # Quorum size
k: int = 20 # Sample size
max_outstanding: int = 10 # Max outstanding polls
max_poll_delay: float = 1.0 # Max delay between polls (seconds)
# Network parameters
network_timeout: float = 5.0 # Network timeout (seconds)
max_message_size: int = 2 * 1024 * 1024 # 2MB
# Security parameters
security_level: int = 5 # NIST security level
quantum_resistant: bool = True # Use PQ crypto
gpu_acceleration: bool = True # Use GPU acceleration
# ============= ERRORS =============
class ConsensusError(Exception):
"""Base consensus error"""
pass
class BlockNotFoundError(ConsensusError):
"""Block not found error"""
pass
class InvalidBlockError(ConsensusError):
"""Invalid block error"""
pass
class InvalidVoteError(ConsensusError):
"""Invalid vote error"""
pass
class NoQuorumError(ConsensusError):
"""No quorum error"""
pass
class AlreadyVotedError(ConsensusError):
"""Already voted error"""
pass
class NotValidatorError(ConsensusError):
"""Not a validator error"""
pass
class TimeoutError(ConsensusError):
"""Operation timeout error"""
pass
class NotInitializedError(ConsensusError):
"""Engine not initialized error"""
pass
# ============= ENGINE =============
class Engine:
"""Base consensus engine interface"""
def add(self, block: Block) -> None:
"""Add a new block to consensus"""
raise NotImplementedError
def record_vote(self, vote: Vote) -> None:
"""Record a vote for a block"""
raise NotImplementedError
def is_accepted(self, block_id: ID) -> bool:
"""Check if a block has been accepted"""
raise NotImplementedError
def get_status(self, block_id: ID) -> Status:
"""Get the status of a block"""
raise NotImplementedError
def start(self) -> None:
"""Start the consensus engine"""
raise NotImplementedError
def stop(self) -> None:
"""Stop the consensus engine"""
raise NotImplementedError
class Chain(Engine):
"""Linear blockchain consensus engine"""
def __init__(self, config: Config):
self.config = config
self.blocks: Dict[ID, Block] = {}
self.votes: Dict[ID, List[Vote]] = {}
self.status: Dict[ID, Status] = {}
self.last_accepted = GENESIS_ID
self.height = 0
self.validators: List[ID] = []
self._started = False
def add(self, block: Block) -> None:
"""Add a new block to the chain"""
if not self._started:
raise NotInitializedError("Engine not started")
# Store the block
self.blocks[block.id] = block
self.status[block.id] = Status.PROCESSING
# Initialize vote tracking
if block.id not in self.votes:
self.votes[block.id] = []
def record_vote(self, vote: Vote) -> None:
"""Record a vote for a block"""
if not self._started:
raise NotInitializedError("Engine not started")
# Check if block exists
if vote.block_id not in self.blocks:
raise BlockNotFoundError(f"Block {vote.block_id} not found")
# Add vote
self.votes[vote.block_id].append(vote)
# Check if we have quorum
if len(self.votes[vote.block_id]) >= self.config.alpha:
self._accept_block(vote.block_id)
def is_accepted(self, block_id: ID) -> bool:
"""Check if a block has been accepted"""
return self.status.get(block_id) == Status.ACCEPTED
def get_status(self, block_id: ID) -> Status:
"""Get the status of a block"""
return self.status.get(block_id, Status.UNKNOWN)
def start(self) -> None:
"""Start the consensus engine"""
if self._started:
return
# Initialize genesis block
genesis = Block(
id=GENESIS_ID,
parent_id=ID(b'\x00' * 32),
height=0,
payload=b'',
time=datetime.now()
)
self.blocks[genesis.id] = genesis
self.status[genesis.id] = Status.ACCEPTED
self.last_accepted = genesis.id
self._started = True
def stop(self) -> None:
"""Stop the consensus engine"""
self._started = False
def _accept_block(self, block_id: ID) -> None:
"""Mark a block as accepted"""
self.status[block_id] = Status.ACCEPTED
block = self.blocks.get(block_id)
if block and block.height > self.height:
self.height = block.height
self.last_accepted = block_id
# ============= FACTORY FUNCTIONS =============
def default_config() -> Config:
"""Returns the default consensus configuration"""
return Config()
def new_chain(config: Optional[Config] = None) -> Chain:
"""Creates a new chain consensus engine"""
if config is None:
config = default_config()
return Chain(config)
def new_block(id: ID, parent_id: ID, height: int, payload: bytes) -> Block:
"""Creates a new block with default values"""
return Block(
id=id,
parent_id=parent_id,
height=height,
payload=payload
)
def new_vote(block_id: ID, vote_type: VoteType, voter: ID) -> Vote:
"""Creates a new vote"""
return Vote(
block_id=block_id,
vote_type=vote_type,
voter=voter
)
def quick_start() -> Chain:
"""Quick start a consensus engine with default config"""
chain = new_chain()
chain.start()
return chain
# ============= CONVENIENCE =============
# Re-export common constants for convenience
VOTE_PREFERENCE = VoteType.PREFERENCE
VOTE_COMMIT = VoteType.COMMIT
VOTE_CANCEL = VoteType.CANCEL
STATUS_UNKNOWN = Status.UNKNOWN
STATUS_PROCESSING = Status.PROCESSING
STATUS_REJECTED = Status.REJECTED
STATUS_ACCEPTED = Status.ACCEPTED
DECIDE_UNDECIDED = Decision.UNDECIDED
DECIDE_ACCEPT = Decision.ACCEPT
DECIDE_REJECT = Decision.REJECT
+7
View File
@@ -195,6 +195,12 @@ dependencies = [
"crunchy",
]
[[package]]
name = "hex"
version = "0.4.3"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "7f24254aa9a54b5c858eaee2f5bccdb46aaf0e486a595ed5fd8f86ba55232a70"
[[package]]
name = "itertools"
version = "0.13.0"
@@ -238,6 +244,7 @@ version = "1.17.0"
dependencies = [
"cc",
"criterion",
"hex",
"libc",
]
+1
View File
@@ -4,6 +4,7 @@ version = "1.17.0"
edition = "2021"
[dependencies]
hex = "0.4"
libc = "0.2"
[build-dependencies]
+172
View File
@@ -0,0 +1,172 @@
// Copyright (C) 2019-2025, Lux Industries Inc. All rights reserved.
// See the file LICENSE for licensing terms.
//! Simple consensus example using the Lux Consensus Rust SDK.
//!
//! Shows how to:
//! - Create and start a consensus engine
//! - Add blocks
//! - Record votes
//! - Check consensus status
use lux_consensus::*; // Single clean import!
fn main() -> Result<()> {
println!("=== Simple Consensus Example ===");
simple_example()?;
println!("\n=== QuickStart Example ===");
quick_start_example()?;
println!("\n=== Advanced Example ===");
advanced_example()?;
Ok(())
}
fn simple_example() -> Result<()> {
// Create engine with default config
let config = Config::default();
let mut chain = Chain::new(config.clone());
// Start the engine
chain.start()?;
// Create a new block
let block = Block::new(
ID::from([1, 2, 3]),
ID::new(vec![0; 32]), // Genesis ID
1,
b"Hello, Lux Consensus from Rust!".to_vec(),
);
// Add the block
chain.add(block.clone())?;
println!("Added block {} at height {}", block.id, block.height);
// Simulate votes from validators
let validators: Vec<NodeID> = (1..=20)
.map(|i| NodeID::from([i as u8, 0, 0]))
.collect();
// Vote on the block
for (i, validator) in validators.iter().enumerate() {
let vote = Vote::new(
block.id.clone(),
VoteType::Preference,
validator.clone(),
).with_signature(format!("sig-{}", i).into_bytes());
chain.record_vote(vote)?;
}
// Check if the block is accepted
if chain.is_accepted(&block.id) {
println!("Block accepted! ✅");
println!("Status: {:?}", chain.get_status(&block.id));
} else {
println!("Block not yet accepted");
println!("Status: {:?}", chain.get_status(&block.id));
}
// Create another block using helper
let block2 = new_block(
ID::from([4, 5, 6]),
block.id.clone(),
2,
b"Second block from Rust".to_vec(),
);
// Add and vote on the second block
chain.add(block2.clone())?;
// Vote with quorum
for i in 0..config.alpha {
let vote = new_vote(
block2.id.clone(),
VoteType::Commit,
validators[i].clone(),
).with_signature(format!("sig2-{}", i).into_bytes());
chain.record_vote(vote)?;
}
// Both blocks should be accepted
println!("\nConsensus Results:");
println!("Block 1 accepted: {}", chain.is_accepted(&block.id));
println!("Block 2 accepted: {}", chain.is_accepted(&block2.id));
chain.stop()?;
Ok(())
}
fn quick_start_example() -> Result<()> {
// One-liner to start consensus
let mut chain = quick_start()?;
// Ready to use!
let block = new_block(
ID::from([1, 2, 3]),
ID::new(vec![0; 32]),
1,
b"Quick start block from Rust".to_vec(),
);
chain.add(block)?;
println!("QuickStart example complete!");
chain.stop()?;
Ok(())
}
fn advanced_example() -> Result<()> {
// Custom configuration
let config = Config {
alpha: 15, // Lower quorum requirement
k: 15,
max_outstanding: 5,
quantum_resistant: true,
gpu_acceleration: true,
..Config::default()
};
let mut chain = Chain::new(config.clone());
chain.start()?;
// Create a chain of blocks
let mut parent = ID::new(vec![0; 32]);
for i in 0..5 {
let block = Block::new(
ID::from([i as u8, i as u8, i as u8]),
parent.clone(),
(i + 1) as u64,
format!("Block {}", i).into_bytes(),
);
chain.add(block.clone())?;
// Vote on the block
let validators: Vec<NodeID> = (0..20)
.map(|v| NodeID::from([v as u8, 0, 0]))
.collect();
for v in validators.iter().take(config.alpha) {
let vote = Vote::new(
block.id.clone(),
VoteType::Commit,
v.clone(),
);
chain.record_vote(vote)?;
}
if chain.is_accepted(&block.id) {
println!("Block {} accepted at height {}", i, block.height);
parent = block.id;
}
}
println!("\nAdvanced example complete!");
chain.stop()?;
Ok(())
}
+368 -348
View File
@@ -1,392 +1,412 @@
// Copyright (C) 2019-2025, Lux Industries Inc. All rights reserved.
// See the file LICENSE for licensing terms.
use libc::{c_char, c_void, size_t};
use std::ffi::CStr;
use std::fmt;
use std::ptr;
//! # Lux Consensus Rust SDK
//!
//! A clean, single-import interface to the Lux consensus system.
//! This is the main SDK surface for Rust applications using Lux consensus.
//!
//! ## Example
//!
//! ```rust
//! use lux_consensus::*; // Single clean import!
//!
//! fn main() -> Result<(), Box<dyn std::error::Error>> {
//! // Create and start engine
//! let config = Config::default();
//! let mut chain = Chain::new(config);
//! chain.start()?;
//!
//! // Create and add a block
//! let block = Block::new(
//! ID::from([1, 2, 3]),
//! GENESIS_ID,
//! 1,
//! b"Hello, Lux!".to_vec(),
//! );
//! chain.add(block.clone())?;
//!
//! // Record votes
//! for i in 0..20 {
//! let vote = Vote::new(
//! block.id.clone(),
//! VoteType::Preference,
//! NodeID::from([i as u8]),
//! );
//! chain.record_vote(vote)?;
//! }
//!
//! // Check if accepted
//! assert!(chain.is_accepted(&block.id));
//! Ok(())
//! }
//! ```
// FFI bindings to C library
#[repr(C)]
pub struct LuxConsensusEngine {
_private: [u8; 0],
}
// No top-level imports needed, they're in the modules
#[repr(C)]
#[derive(Debug, Clone, Copy)]
pub enum LuxError {
Success = 0,
InvalidParams = -1,
OutOfMemory = -2,
InvalidState = -3,
ConsensusFailed = -4,
NotImplemented = -5,
}
// Re-export everything for single-import convenience
pub use crate::types::*;
pub use crate::engine::*;
pub use crate::errors::*;
impl fmt::Display for LuxError {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
match self {
LuxError::Success => write!(f, "Success"),
LuxError::InvalidParams => write!(f, "Invalid parameters"),
LuxError::OutOfMemory => write!(f, "Out of memory"),
LuxError::InvalidState => write!(f, "Invalid state"),
LuxError::ConsensusFailed => write!(f, "Consensus failed"),
LuxError::NotImplemented => write!(f, "Not implemented"),
}
}
}
// ============= TYPES MODULE =============
impl std::error::Error for LuxError {}
#[repr(C)]
#[derive(Debug, Clone, Copy)]
pub enum LuxEngineType {
Chain = 0,
DAG = 1,
PQ = 2,
}
#[repr(C)]
#[derive(Debug, Clone)]
pub struct LuxConsensusConfig {
pub k: u32,
pub alpha_preference: u32,
pub alpha_confidence: u32,
pub beta: u32,
pub concurrent_polls: u32,
pub optimal_processing: u32,
pub max_outstanding_items: u32,
pub max_item_processing_time_ns: u64,
pub engine_type: LuxEngineType,
}
#[repr(C)]
#[derive(Debug)]
pub struct LuxBlock {
pub id: [u8; 32],
pub parent_id: [u8; 32],
pub height: u64,
pub timestamp: u64,
pub data: *mut c_void,
pub data_size: size_t,
}
#[repr(C)]
#[derive(Debug)]
pub struct LuxVote {
pub voter_id: [u8; 32],
pub block_id: [u8; 32],
pub is_preference: bool,
}
#[repr(C)]
#[derive(Debug, Default)]
pub struct LuxConsensusStats {
pub blocks_accepted: u64,
pub blocks_rejected: u64,
pub polls_completed: u64,
pub votes_processed: u64,
pub average_decision_time_ms: f64,
}
// External C functions
extern "C" {
fn lux_consensus_init() -> LuxError;
fn lux_consensus_cleanup() -> LuxError;
pub mod types {
use std::fmt;
use std::time::{Duration, SystemTime};
fn lux_consensus_engine_create(
engine: *mut *mut LuxConsensusEngine,
config: *const LuxConsensusConfig,
) -> LuxError;
/// Identifier type
#[derive(Debug, Clone, PartialEq, Eq, Hash)]
pub struct ID(pub Vec<u8>);
fn lux_consensus_engine_destroy(engine: *mut LuxConsensusEngine) -> LuxError;
fn lux_consensus_add_block(
engine: *mut LuxConsensusEngine,
block: *const LuxBlock,
) -> LuxError;
fn lux_consensus_process_vote(
engine: *mut LuxConsensusEngine,
vote: *const LuxVote,
) -> LuxError;
fn lux_consensus_is_accepted(
engine: *mut LuxConsensusEngine,
block_id: *const u8,
is_accepted: *mut bool,
) -> LuxError;
fn lux_consensus_get_preference(
engine: *mut LuxConsensusEngine,
block_id: *mut u8,
) -> LuxError;
fn lux_consensus_poll(
engine: *mut LuxConsensusEngine,
num_validators: u32,
validator_ids: *const *const u8,
) -> LuxError;
fn lux_consensus_get_stats(
engine: *mut LuxConsensusEngine,
stats: *mut LuxConsensusStats,
) -> LuxError;
fn lux_error_string(error: LuxError) -> *const c_char;
fn lux_engine_type_string(engine_type: LuxEngineType) -> *const c_char;
}
// High-level Rust API
pub struct ConsensusEngine {
engine: *mut LuxConsensusEngine,
}
impl ConsensusEngine {
/// Initialize the consensus library
pub fn init() -> Result<(), LuxError> {
let result = unsafe { lux_consensus_init() };
match result {
LuxError::Success => Ok(()),
err => Err(err),
impl ID {
pub fn new(data: Vec<u8>) -> Self {
ID(data)
}
}
/// Cleanup the consensus library
pub fn cleanup() -> Result<(), LuxError> {
let result = unsafe { lux_consensus_cleanup() };
match result {
LuxError::Success => Ok(()),
err => Err(err),
impl From<[u8; 3]> for ID {
fn from(data: [u8; 3]) -> Self {
ID(data.to_vec())
}
}
/// Create a new consensus engine
pub fn new(config: &LuxConsensusConfig) -> Result<Self, LuxError> {
let mut engine: *mut LuxConsensusEngine = ptr::null_mut();
let result = unsafe { lux_consensus_engine_create(&mut engine, config) };
impl From<[u8; 32]> for ID {
fn from(data: [u8; 32]) -> Self {
ID(data.to_vec())
}
}
impl fmt::Display for ID {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
write!(f, "{}", hex::encode(&self.0))
}
}
/// Node identifier
pub type NodeID = ID;
pub type Hash = ID;
/// Genesis block ID
pub const GENESIS_ID: ID = ID(Vec::new());
/// Block status
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum Status {
Unknown,
Processing,
Rejected,
Accepted,
}
/// Consensus decision
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum Decision {
Undecided,
Accept,
Reject,
}
/// Vote type
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum VoteType {
Preference,
Commit,
Cancel,
}
/// Block in the blockchain
#[derive(Debug, Clone)]
pub struct Block {
pub id: ID,
pub parent_id: ID,
pub height: u64,
pub payload: Vec<u8>,
pub time: SystemTime,
}
impl Block {
pub fn new(id: ID, parent_id: ID, height: u64, payload: Vec<u8>) -> Self {
Block {
id,
parent_id,
height,
payload,
time: SystemTime::now(),
}
}
}
/// Vote on a block
#[derive(Debug, Clone)]
pub struct Vote {
pub block_id: ID,
pub vote_type: VoteType,
pub voter: NodeID,
pub signature: Vec<u8>,
}
impl Vote {
pub fn new(block_id: ID, vote_type: VoteType, voter: NodeID) -> Self {
Vote {
block_id,
vote_type,
voter,
signature: Vec::new(),
}
}
match result {
LuxError::Success => Ok(ConsensusEngine { engine }),
err => Err(err),
pub fn with_signature(mut self, signature: Vec<u8>) -> Self {
self.signature = signature;
self
}
}
/// Add a block to the consensus engine
pub fn add_block(&mut self, block: &LuxBlock) -> Result<(), LuxError> {
let result = unsafe { lux_consensus_add_block(self.engine, block) };
match result {
LuxError::Success => Ok(()),
err => Err(err),
}
/// Consensus certificate
#[derive(Debug, Clone)]
pub struct Certificate {
pub block_id: ID,
pub height: u64,
pub votes: Vec<Vote>,
pub timestamp: SystemTime,
pub signatures: Vec<Vec<u8>>,
}
/// Process a vote
pub fn process_vote(&mut self, vote: &LuxVote) -> Result<(), LuxError> {
let result = unsafe { lux_consensus_process_vote(self.engine, vote) };
match result {
LuxError::Success => Ok(()),
err => Err(err),
}
}
/// Check if a block is accepted
pub fn is_accepted(&self, block_id: &[u8; 32]) -> Result<bool, LuxError> {
let mut accepted = false;
let result = unsafe {
lux_consensus_is_accepted(self.engine, block_id.as_ptr(), &mut accepted)
};
/// Consensus configuration
#[derive(Debug, Clone)]
pub struct Config {
// Consensus parameters
pub alpha: usize, // Quorum size
pub k: usize, // Sample size
pub max_outstanding: usize, // Max outstanding polls
pub max_poll_delay: Duration, // Max delay between polls
match result {
LuxError::Success => Ok(accepted),
err => Err(err),
}
}
/// Get the preferred block ID
pub fn get_preference(&self) -> Result<[u8; 32], LuxError> {
let mut block_id = [0u8; 32];
let result = unsafe {
lux_consensus_get_preference(self.engine, block_id.as_mut_ptr())
};
// Network parameters
pub network_timeout: Duration,
pub max_message_size: usize,
match result {
LuxError::Success => Ok(block_id),
err => Err(err),
}
// Security parameters
pub security_level: u32,
pub quantum_resistant: bool,
pub gpu_acceleration: bool,
}
/// Poll validators
pub fn poll(&mut self, validator_ids: &[[u8; 32]]) -> Result<(), LuxError> {
let validator_ptrs: Vec<*const u8> = validator_ids
.iter()
.map(|id| id.as_ptr())
.collect();
let result = unsafe {
lux_consensus_poll(
self.engine,
validator_ids.len() as u32,
validator_ptrs.as_ptr(),
)
};
match result {
LuxError::Success => Ok(()),
err => Err(err),
}
}
/// Get consensus statistics
pub fn get_stats(&self) -> Result<LuxConsensusStats, LuxError> {
let mut stats = LuxConsensusStats::default();
let result = unsafe {
lux_consensus_get_stats(self.engine, &mut stats)
};
match result {
LuxError::Success => Ok(stats),
err => Err(err),
}
}
/// Get error string for an error code
pub fn error_string(error: LuxError) -> String {
unsafe {
let c_str = lux_error_string(error);
CStr::from_ptr(c_str).to_string_lossy().into_owned()
}
}
/// Get engine type string
pub fn engine_type_string(engine_type: LuxEngineType) -> String {
unsafe {
let c_str = lux_engine_type_string(engine_type);
CStr::from_ptr(c_str).to_string_lossy().into_owned()
impl Default for Config {
fn default() -> Self {
Config {
alpha: 20,
k: 20,
max_outstanding: 10,
max_poll_delay: Duration::from_secs(1),
network_timeout: Duration::from_secs(5),
max_message_size: 2 * 1024 * 1024, // 2MB
security_level: 5, // NIST Level 5
quantum_resistant: true,
gpu_acceleration: true,
}
}
}
}
impl Drop for ConsensusEngine {
fn drop(&mut self) {
unsafe {
lux_consensus_engine_destroy(self.engine);
// ============= ERRORS MODULE =============
pub mod errors {
use std::error::Error;
use std::fmt;
/// Consensus error type
#[derive(Debug)]
pub enum ConsensusError {
BlockNotFound,
InvalidBlock,
InvalidVote,
NoQuorum,
AlreadyVoted,
NotValidator,
Timeout,
NotInitialized,
Other(String),
}
impl fmt::Display for ConsensusError {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
match self {
ConsensusError::BlockNotFound => write!(f, "Block not found"),
ConsensusError::InvalidBlock => write!(f, "Invalid block"),
ConsensusError::InvalidVote => write!(f, "Invalid vote"),
ConsensusError::NoQuorum => write!(f, "No quorum"),
ConsensusError::AlreadyVoted => write!(f, "Already voted"),
ConsensusError::NotValidator => write!(f, "Not a validator"),
ConsensusError::Timeout => write!(f, "Operation timeout"),
ConsensusError::NotInitialized => write!(f, "Engine not initialized"),
ConsensusError::Other(msg) => write!(f, "{}", msg),
}
}
}
impl Error for ConsensusError {}
/// Result type alias
pub type Result<T> = std::result::Result<T, ConsensusError>;
}
// Safety: ConsensusEngine can be sent between threads
unsafe impl Send for ConsensusEngine {}
unsafe impl Sync for ConsensusEngine {}
// ============= ENGINE MODULE =============
#[cfg(test)]
mod tests {
pub mod engine {
use super::*;
use std::collections::HashMap;
use std::sync::{Arc, Mutex};
#[test]
fn test_initialization() {
assert!(ConsensusEngine::init().is_ok());
assert!(ConsensusEngine::cleanup().is_ok());
/// Consensus engine trait
pub trait Engine {
fn add(&mut self, block: Block) -> Result<()>;
fn record_vote(&mut self, vote: Vote) -> Result<()>;
fn is_accepted(&self, id: &ID) -> bool;
fn get_status(&self, id: &ID) -> Status;
fn start(&mut self) -> Result<()>;
fn stop(&mut self) -> Result<()>;
}
#[test]
fn test_engine_creation() {
ConsensusEngine::init().unwrap();
let config = LuxConsensusConfig {
k: 20,
alpha_preference: 15,
alpha_confidence: 15,
beta: 20,
concurrent_polls: 1,
optimal_processing: 1,
max_outstanding_items: 1024,
max_item_processing_time_ns: 2000000000,
engine_type: LuxEngineType::DAG,
};
let engine = ConsensusEngine::new(&config);
assert!(engine.is_ok());
ConsensusEngine::cleanup().unwrap();
/// Linear blockchain consensus engine
pub struct Chain {
config: Config,
blocks: Arc<Mutex<HashMap<ID, Block>>>,
votes: Arc<Mutex<HashMap<ID, Vec<Vote>>>>,
status: Arc<Mutex<HashMap<ID, Status>>>,
last_accepted: Arc<Mutex<ID>>,
height: Arc<Mutex<u64>>,
started: Arc<Mutex<bool>>,
}
#[test]
fn test_block_operations() {
ConsensusEngine::init().unwrap();
let config = LuxConsensusConfig {
k: 20,
alpha_preference: 15,
alpha_confidence: 15,
beta: 20,
concurrent_polls: 1,
optimal_processing: 1,
max_outstanding_items: 1024,
max_item_processing_time_ns: 2000000000,
engine_type: LuxEngineType::DAG,
};
let mut engine = ConsensusEngine::new(&config).unwrap();
let block = LuxBlock {
id: [1; 32],
parent_id: [0; 32],
height: 1,
timestamp: 1234567890,
data: ptr::null_mut(),
data_size: 0,
};
assert!(engine.add_block(&block).is_ok());
let is_accepted = engine.is_accepted(&block.id).unwrap();
assert!(!is_accepted);
ConsensusEngine::cleanup().unwrap();
}
#[test]
fn test_voting() {
ConsensusEngine::init().unwrap();
let config = LuxConsensusConfig {
k: 20,
alpha_preference: 2,
alpha_confidence: 2,
beta: 3,
concurrent_polls: 1,
optimal_processing: 1,
max_outstanding_items: 1024,
max_item_processing_time_ns: 2000000000,
engine_type: LuxEngineType::DAG,
};
let mut engine = ConsensusEngine::new(&config).unwrap();
let block = LuxBlock {
id: [2; 32],
parent_id: [0; 32],
height: 1,
timestamp: 1234567890,
data: ptr::null_mut(),
data_size: 0,
};
engine.add_block(&block).unwrap();
for i in 0..3 {
let vote = LuxVote {
voter_id: [i; 32],
block_id: block.id,
is_preference: false,
};
assert!(engine.process_vote(&vote).is_ok());
impl Chain {
pub fn new(config: Config) -> Self {
Chain {
config,
blocks: Arc::new(Mutex::new(HashMap::new())),
votes: Arc::new(Mutex::new(HashMap::new())),
status: Arc::new(Mutex::new(HashMap::new())),
last_accepted: Arc::new(Mutex::new(GENESIS_ID)),
height: Arc::new(Mutex::new(0)),
started: Arc::new(Mutex::new(false)),
}
}
let stats = engine.get_stats().unwrap();
assert_eq!(stats.votes_processed, 3);
ConsensusEngine::cleanup().unwrap();
fn accept_block(&mut self, id: ID) {
let mut status = self.status.lock().unwrap();
status.insert(id.clone(), Status::Accepted);
let blocks = self.blocks.lock().unwrap();
if let Some(block) = blocks.get(&id) {
let mut height = self.height.lock().unwrap();
if block.height > *height {
*height = block.height;
let mut last = self.last_accepted.lock().unwrap();
*last = id;
}
}
}
}
impl Engine for Chain {
fn add(&mut self, block: Block) -> Result<()> {
if !*self.started.lock().unwrap() {
return Err(ConsensusError::NotInitialized);
}
let id = block.id.clone();
self.blocks.lock().unwrap().insert(id.clone(), block);
self.status.lock().unwrap().insert(id.clone(), Status::Processing);
self.votes.lock().unwrap().entry(id).or_insert_with(Vec::new);
Ok(())
}
fn record_vote(&mut self, vote: Vote) -> Result<()> {
if !*self.started.lock().unwrap() {
return Err(ConsensusError::NotInitialized);
}
{
let blocks = self.blocks.lock().unwrap();
if !blocks.contains_key(&vote.block_id) {
return Err(ConsensusError::BlockNotFound);
}
} // Drop blocks lock here
let should_accept = {
let mut votes = self.votes.lock().unwrap();
let block_votes = votes.entry(vote.block_id.clone()).or_insert_with(Vec::new);
block_votes.push(vote.clone());
block_votes.len() >= self.config.alpha
}; // Drop votes lock here
if should_accept {
self.accept_block(vote.block_id);
}
Ok(())
}
fn is_accepted(&self, id: &ID) -> bool {
self.status.lock().unwrap()
.get(id)
.map_or(false, |s| *s == Status::Accepted)
}
fn get_status(&self, id: &ID) -> Status {
self.status.lock().unwrap()
.get(id)
.copied()
.unwrap_or(Status::Unknown)
}
fn start(&mut self) -> Result<()> {
let mut started = self.started.lock().unwrap();
if *started {
return Ok(());
}
// Initialize genesis block
let genesis = Block::new(
ID::new(vec![0; 32]),
ID::new(vec![0; 32]),
0,
Vec::new(),
);
self.blocks.lock().unwrap().insert(genesis.id.clone(), genesis.clone());
self.status.lock().unwrap().insert(genesis.id.clone(), Status::Accepted);
*self.last_accepted.lock().unwrap() = genesis.id;
*started = true;
Ok(())
}
fn stop(&mut self) -> Result<()> {
*self.started.lock().unwrap() = false;
Ok(())
}
}
}
// ============= CONVENIENCE FUNCTIONS =============
/// Quick start a consensus engine
pub fn quick_start() -> Result<Chain> {
let config = Config::default();
let mut chain = Chain::new(config);
chain.start()?;
Ok(chain)
}
/// Create a new block helper
pub fn new_block(id: ID, parent_id: ID, height: u64, payload: Vec<u8>) -> Block {
Block::new(id, parent_id, height, payload)
}
/// Create a new vote helper
pub fn new_vote(block_id: ID, vote_type: VoteType, voter: NodeID) -> Vote {
Vote::new(block_id, vote_type, voter)
}
+44
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@@ -0,0 +1,44 @@
#!/bin/bash
set -e
echo "🏗️ Building Lux Consensus Documentation..."
# Colors for output
GREEN='\033[0;32m'
BLUE='\033[0;34m'
NC='\033[0m' # No Color
# Navigate to docs directory
cd "$(dirname "$0")/../docs"
echo -e "${BLUE}📦 Installing dependencies...${NC}"
if command -v pnpm &> /dev/null; then
pnpm install
else
npm install
fi
echo -e "${BLUE}🔨 Building site...${NC}"
if command -v pnpm &> /dev/null; then
pnpm build
else
npm run build
fi
echo -e "${BLUE}📤 Exporting static site...${NC}"
if command -v pnpm &> /dev/null; then
pnpm export
else
npm run export
fi
echo -e "${GREEN}✅ Documentation built successfully!${NC}"
echo -e "${GREEN}📁 Output directory: docs/out${NC}"
# Optional: Start preview server
read -p "Start preview server? (y/n) " -n 1 -r
echo
if [[ $REPLY =~ ^[Yy]$ ]]; then
echo -e "${BLUE}🌐 Starting preview server on http://localhost:3001${NC}"
npx serve out -p 3001
fi
+71
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@@ -0,0 +1,71 @@
#!/bin/bash
set -e
echo "🚀 Deploying Lux Consensus Documentation to GitHub Pages..."
# Colors for output
GREEN='\033[0;32m'
BLUE='\033[0;34m'
RED='\033[0;31m'
NC='\033[0m' # No Color
# Get repository information
REPO_URL=$(git remote get-url origin)
REPO_NAME=$(basename -s .git "$REPO_URL")
REPO_OWNER=$(echo "$REPO_URL" | sed -n 's/.*github.com[:/]\([^/]*\).*/\1/p')
echo -e "${BLUE}📦 Repository: ${REPO_OWNER}/${REPO_NAME}${NC}"
# Navigate to project root
cd "$(dirname "$0")/.."
# Check if docs/out exists
if [ ! -d "docs/out" ]; then
echo -e "${RED}❌ Error: docs/out directory not found${NC}"
echo "Please run 'scripts/build-docs.sh' first"
exit 1
fi
# Create temporary directory for deployment
TEMP_DIR=$(mktemp -d)
echo -e "${BLUE}📁 Using temp directory: ${TEMP_DIR}${NC}"
# Copy built site to temp directory
cp -r docs/out/* "$TEMP_DIR/"
# Initialize git in temp directory
cd "$TEMP_DIR"
git init
git config user.name "GitHub Actions"
git config user.email "[email protected]"
# Create CNAME file for custom domain (if needed)
echo "consensus.lux.network" > CNAME
# Add .nojekyll to prevent Jekyll processing
touch .nojekyll
# Commit all files
git add -A
git commit -m "Deploy documentation $(date '+%Y-%m-%d %H:%M:%S')"
# Force push to gh-pages branch
echo -e "${BLUE}📤 Pushing to gh-pages branch...${NC}"
git push -f "$REPO_URL" HEAD:gh-pages
# Clean up
cd - > /dev/null
rm -rf "$TEMP_DIR"
echo -e "${GREEN}✅ Documentation deployed successfully!${NC}"
echo -e "${GREEN}🌐 View at: https://${REPO_OWNER}.github.io/${REPO_NAME}${NC}"
echo -e "${GREEN}🌐 Or: https://consensus.lux.network${NC}"
# Optional: Open in browser
if command -v open &> /dev/null; then
read -p "Open in browser? (y/n) " -n 1 -r
echo
if [[ $REPLY =~ ^[Yy]$ ]]; then
open "https://${REPO_OWNER}.github.io/${REPO_NAME}"
fi
fi
+33
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@@ -0,0 +1,33 @@
// Copyright (C) 2019-2025, Lux Industries Inc All rights reserved.
// See the file LICENSE for licensing terms.
package types
import "errors"
// Common consensus errors
var (
// ErrBlockNotFound is returned when a block is not found
ErrBlockNotFound = errors.New("block not found")
// ErrInvalidBlock is returned when a block is invalid
ErrInvalidBlock = errors.New("invalid block")
// ErrInvalidVote is returned when a vote is invalid
ErrInvalidVote = errors.New("invalid vote")
// ErrNoQuorum is returned when there is no quorum
ErrNoQuorum = errors.New("no quorum")
// ErrAlreadyVoted is returned when a validator has already voted
ErrAlreadyVoted = errors.New("already voted")
// ErrNotValidator is returned when the node is not a validator
ErrNotValidator = errors.New("not a validator")
// ErrTimeout is returned when an operation times out
ErrTimeout = errors.New("operation timeout")
// ErrNotInitialized is returned when the engine is not initialized
ErrNotInitialized = errors.New("engine not initialized")
)
+115
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@@ -0,0 +1,115 @@
// Copyright (C) 2019-2025, Lux Industries Inc All rights reserved.
// See the file LICENSE for licensing terms.
package types
import (
"time"
"github.com/luxfi/ids"
)
// Core type aliases for convenience
type (
// Basic identifiers
ID = ids.ID
NodeID = ids.NodeID
Hash = ids.ID
// Cryptographic types
Signature []byte
PublicKey []byte
PrivateKey []byte
)
// Decision represents a consensus decision outcome
type Decision int
const (
DecideUndecided Decision = iota
DecideAccept
DecideReject
)
// VoteType represents the type of vote
type VoteType int
const (
VotePreference VoteType = iota
VoteCommit
VoteCancel
)
// GenesisID is the ID of the genesis block
var GenesisID = ids.Empty
// Block represents a block in the blockchain
type Block struct {
ID ID `json:"id"`
ParentID ID `json:"parent_id"`
Height uint64 `json:"height"`
Payload []byte `json:"payload"`
Time time.Time `json:"time"`
}
// Vote represents a vote on a block
type Vote struct {
BlockID ID `json:"block_id"`
VoteType VoteType `json:"vote_type"`
Voter NodeID `json:"voter"`
Signature []byte `json:"signature"`
}
// Certificate represents a consensus certificate
type Certificate struct {
BlockID ID `json:"block_id"`
Height uint64 `json:"height"`
Votes []Vote `json:"votes"`
Timestamp time.Time `json:"timestamp"`
Signatures [][]byte `json:"signatures"`
}
// Status represents the status of a block
type Status int
const (
StatusUnknown Status = iota
StatusProcessing
StatusRejected
StatusAccepted
)
// Config represents consensus configuration
type Config struct {
// Consensus parameters
Alpha int `json:"alpha"` // Quorum size
K int `json:"k"` // Sample size
MaxOutstanding int `json:"max_outstanding"` // Max outstanding polls
MaxPollDelay time.Duration `json:"max_poll_delay"` // Max delay between polls
// Network parameters
NetworkTimeout time.Duration `json:"network_timeout"`
MaxMessageSize int `json:"max_message_size"`
// Security parameters
SecurityLevel int `json:"security_level"` // NIST security level
QuantumResistant bool `json:"quantum_resistant"` // Use PQ crypto
GPUAcceleration bool `json:"gpu_acceleration"` // Use GPU acceleration
}
// DefaultConfig returns default consensus configuration
func DefaultConfig() Config {
return Config{
Alpha: 20,
K: 20,
MaxOutstanding: 10,
MaxPollDelay: time.Second,
NetworkTimeout: 5 * time.Second,
MaxMessageSize: 2 * 1024 * 1024, // 2MB
SecurityLevel: 5, // NIST Level 5
QuantumResistant: true,
GPUAcceleration: true,
}
}
+33 -2
View File
@@ -15,8 +15,10 @@ type TestState struct {
validators map[ids.ID]validators.Set
// Function fields for test customization
GetCurrentHeightF func(context.Context) (uint64, error)
GetValidatorSetF func(context.Context, uint64, ids.ID) (map[ids.NodeID]*validators.GetValidatorOutput, error)
GetCurrentHeightF func(context.Context) (uint64, error)
GetValidatorSetF func(context.Context, uint64, ids.ID) (map[ids.NodeID]*validators.GetValidatorOutput, error)
GetWarpValidatorSetF func(context.Context, uint64, ids.ID) (*validators.WarpSet, error)
GetWarpValidatorSetsF func(context.Context, []uint64, []ids.ID) (map[ids.ID]map[uint64]*validators.WarpSet, error)
}
// NewTestState creates a new test state
@@ -46,3 +48,32 @@ func (s *TestState) GetCurrentHeight(ctx context.Context) (uint64, error) {
}
return 0, nil
}
// GetWarpValidatorSet returns the Warp validator set for a specific height and netID
func (s *TestState) GetWarpValidatorSet(ctx context.Context, height uint64, netID ids.ID) (*validators.WarpSet, error) {
if s.GetWarpValidatorSetF != nil {
return s.GetWarpValidatorSetF(ctx, height, netID)
}
return &validators.WarpSet{
Height: height,
Validators: make(map[ids.NodeID]*validators.WarpValidator),
}, nil
}
// GetWarpValidatorSets returns Warp validator sets for the requested heights and netIDs
func (s *TestState) GetWarpValidatorSets(ctx context.Context, heights []uint64, netIDs []ids.ID) (map[ids.ID]map[uint64]*validators.WarpSet, error) {
if s.GetWarpValidatorSetsF != nil {
return s.GetWarpValidatorSetsF(ctx, heights, netIDs)
}
result := make(map[ids.ID]map[uint64]*validators.WarpSet)
for _, netID := range netIDs {
result[netID] = make(map[uint64]*validators.WarpSet)
for _, height := range heights {
result[netID][height] = &validators.WarpSet{
Height: height,
Validators: make(map[ids.NodeID]*validators.WarpValidator),
}
}
}
return result, nil
}