sync: update from blackroad-operator 2026-03-14

Synced from BlackRoad-OS-Inc/blackroad-operator/orgs/personal/native-ai-quantum-energy
BlackRoad OS — Pave Tomorrow.

RoadChain-SHA2048: aa977962eb24dbcb
RoadChain-Identity: alexa@sovereign
RoadChain-Full: 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
This commit is contained in:
2026-03-14 15:09:54 -05:00
parent ff2cab36e9
commit 577b6c88ed
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node_modules
.git
.env
*.log
dist
__pycache__
.pytest_cache
.next

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.github/FUNDING.yml vendored
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github: blackboxprogramming

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version: 2
updates:
# npm dependencies
- package-ecosystem: "npm"
directory: "/"
schedule:
interval: "weekly"
day: "monday"
open-pull-requests-limit: 10
reviewers:
- "blackboxprogramming"
labels:
- "dependencies"
- "automated"
commit-message:
prefix: "chore"
include: "scope"
# GitHub Actions
- package-ecosystem: "github-actions"
directory: "/"
schedule:
interval: "weekly"
day: "monday"
open-pull-requests-limit: 5
labels:
- "dependencies"
- "github-actions"
commit-message:
prefix: "ci"
# pip dependencies
- package-ecosystem: "pip"
directory: "/"
schedule:
interval: "weekly"
day: "monday"
open-pull-requests-limit: 10
labels:
- "dependencies"
- "python"
commit-message:
prefix: "chore"

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name: CI
on:
workflow_dispatch:
push:
branches: [main]
pull_request:
branches: [main]
jobs:
test:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: ["3.10", "3.11", "3.12"]
steps:
- uses: actions/checkout@v4
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- name: Install dependencies
run: pip install -r requirements.txt
- name: Run tests
run: pytest tests/ -v --tb=short
lint:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: "3.12"
- name: Install dependencies
run: pip install -r requirements.txt
- name: Run ruff
run: ruff check .

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name: Deploy to Cloudflare Pages
on:
push:
branches:
- main
pull_request:
jobs:
deploy:
runs-on: ubuntu-latest
permissions:
contents: read
deployments: write
name: Deploy to Cloudflare Pages
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Brand Compliance Check
run: |
echo "🎨 Checking brand compliance..."
# Check for forbidden colors
if grep -r "#FF9D00\|#FF6B00\|#FF0066\|#FF006B\|#D600AA\|#7700FF\|#0066FF" . --include="*.html" --include="*.css"; then
echo "❌ Forbidden colors found! Please use official brand colors."
exit 1
fi
# Check for official colors
if grep -r "#F5A623\|#FF1D6C\|#2979FF\|#9C27B0" . --include="*.html" --include="*.css"; then
echo "✅ Official brand colors detected!"
fi
echo "✅ Brand compliance check passed!"
- name: Deploy to Cloudflare Pages
id: cloudflare_deploy
uses: cloudflare/pages-action@v1
with:
apiToken: ${{ secrets.CLOUDFLARE_API_TOKEN }}
accountId: ${{ secrets.CLOUDFLARE_ACCOUNT_ID }}
projectName: native-ai-quantum-energy
directory: .
gitHubToken: ${{ secrets.GITHUB_TOKEN }}
- name: Add deployment comment
if: github.event_name == 'pull_request'
uses: actions/github-script@v7
with:
script: |
github.rest.issues.createComment({
issue_number: context.issue.number,
owner: context.repo.owner,
repo: context.repo.repo,
body: `### 🚀 Deployment Preview\n\n✅ Build completed successfully!\n\n**Preview URL:** ${{ steps.cloudflare_deploy.outputs.url }}\n\n🎨 Brand compliance: **Passed**`
})
- name: Notify success
if: success()
run: |
echo "✅ Deployment successful!"
echo "🌐 URL: ${{ steps.cloudflare_deploy.outputs.url }}"

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name: "🔒 Security Scan"
on:
push:
branches: [main, master]
pull_request:
branches: [main, master]
schedule:
- cron: '0 6 * * 1'
jobs:
security:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Check for secrets
run: |
echo "Scanning for potential secrets..."
! grep -rn 'AKIA\|sk-\|ghp_\|gho_\|password\s*=' --include='*.js' --include='*.py' --include='*.env' --include='*.sh' . 2>/dev/null || echo "Review above matches"
echo "✅ Security scan complete"
- name: Check dependencies
run: |
if [ -f "package.json" ]; then
npm install --ignore-scripts 2>/dev/null
npm audit --audit-level=high 2>/dev/null || true
fi
if [ -f "requirements.txt" ]; then
pip install safety 2>/dev/null
safety check -r requirements.txt 2>/dev/null || true
fi
echo "✅ Dependency check complete"

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name: 🔧 Self-Healing
on:
schedule:
- cron: '*/30 * * * *' # Every 30 minutes
workflow_dispatch:
workflow_run:
workflows: ["🚀 Auto Deploy"]
types: [completed]
jobs:
monitor:
name: Monitor Deployments
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v6
- name: Check Health
id: health
run: |
if [ ! -z "${{ secrets.DEPLOY_URL }}" ]; then
STATUS=$(curl -s -o /dev/null -w "%{http_code}" ${{ secrets.DEPLOY_URL }}/api/health || echo "000")
echo "status=$STATUS" >> $GITHUB_OUTPUT
else
echo "status=skip" >> $GITHUB_OUTPUT
fi
- name: Auto-Rollback
if: steps.health.outputs.status != '200' && steps.health.outputs.status != 'skip'
run: |
echo "🚨 Health check failed (Status: ${{ steps.health.outputs.status }})"
echo "Triggering rollback..."
gh workflow run auto-deploy.yml --ref $(git rev-parse HEAD~1)
env:
GH_TOKEN: ${{ github.token }}
- name: Attempt Auto-Fix
if: steps.health.outputs.status != '200' && steps.health.outputs.status != 'skip'
run: |
echo "🔧 Attempting automatic fixes..."
# Check for common issues
if [ -f "package.json" ]; then
npm ci || true
npm run build || true
fi
- name: Create Issue on Failure
if: failure()
uses: actions/github-script@v8
with:
script: |
github.rest.issues.create({
owner: context.repo.owner,
repo: context.repo.repo,
title: '🚨 Self-Healing: Deployment Health Check Failed',
body: `Deployment health check failed.\n\nStatus: ${{ steps.health.outputs.status }}\nWorkflow: ${context.workflow}\nRun: ${context.runId}`,
labels: ['bug', 'deployment', 'auto-generated']
})
dependency-updates:
name: Auto Update Dependencies
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v6
- name: Setup Node
if: hashFiles('package.json') != ''
uses: actions/setup-node@v6
with:
node-version: '20'
- name: Update npm dependencies
if: hashFiles('package.json') != ''
run: |
npm update
if [ -n "$(git status --porcelain)" ]; then
git config user.name "BlackRoad Bot"
git config user.email "bot@blackroad.io"
git add package*.json
git commit -m "chore: auto-update dependencies"
git push
fi

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.gitignore vendored
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# Traffic Light System runtime files
.traffic-light-status
.traffic-light-status.db
# Python
__pycache__/
*.py[cod]
*$py.class
*.so
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
*.egg-info/
.installed.cfg
*.egg
# Testing
.pytest_cache/
.coverage
htmlcov/
# IDE
.vscode/
.idea/
*.swp
*.swo
*~
# OS
.DS_Store
Thumbs.db

312
AGENTS.md
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# BlackRoad AI Agent Collaboration
## Overview
This repository supports collaboration with the **BlackRoad Multi-AI System** - a network of specialized AI agents that work together to maintain, improve, and manage code across the BlackRoad ecosystem.
## Available Agents
### Code Quality & Review
#### 🤖 Cora - Code Review Agent
- **Specialty:** Automated code review and quality analysis
- **Capabilities:**
- Pull request reviews
- Code quality assessment
- Best practice enforcement
- Style guide compliance
- Regression detection
- **Status:** Active in GreenLight, Review mode in YellowLight, Emergency only in RedLight
#### 🤖 Cece - Code Quality Guardian
- **Specialty:** Code quality standards and technical excellence
- **Capabilities:**
- Code smell detection
- Refactoring suggestions
- Complexity analysis
- Maintainability scoring
- Quality metrics tracking
- **Status:** Always active for quality improvements
### Documentation
#### 🤖 Lucidia - Documentation Expert
- **Specialty:** Technical documentation and knowledge management
- **Capabilities:**
- API documentation generation
- README maintenance
- Tutorial creation
- Docstring validation
- Knowledge base updates
- **Status:** Always active for documentation work
### Architecture & Design
#### 🤖 Aria - Architecture Advisor
- **Specialty:** System architecture and design patterns
- **Capabilities:**
- Architecture reviews
- Design pattern recommendations
- System scalability analysis
- Component design
- Technical debt assessment
- **Status:** Advisory mode in YellowLight, Emergency consultation in RedLight
#### 🤖 Alice - Migration Architect
- **Specialty:** Code migration and system transitions
- **Capabilities:**
- Migration planning
- Dependency analysis
- Breaking change management
- Version upgrades
- Cross-system integration
- **Status:** Active in GreenLight, Planning only in YellowLight, Halted in RedLight
### Security
#### 🤖 Silas - Security Sentinel
- **Specialty:** Security analysis and vulnerability management
- **Capabilities:**
- Security vulnerability scanning
- Dependency security checks
- Code security reviews
- Compliance verification
- Threat modeling
- **Status:** Always active, Priority response in RedLight
### Infrastructure & Operations
#### 🤖 Gaia - Infrastructure Manager
- **Specialty:** Infrastructure as code and deployment management
- **Capabilities:**
- Infrastructure provisioning
- Configuration management
- Resource optimization
- Cloud platform integration
- Environment management
- **Status:** Monitoring in YellowLight, Emergency mode in RedLight
#### 🤖 Caddy - CI/CD Orchestrator
- **Specialty:** Continuous integration and deployment automation
- **Capabilities:**
- Pipeline configuration
- Build automation
- Deployment orchestration
- Release automation
- Integration testing
- **Status:** Locked in RedLight, Monitoring in YellowLight
### Testing
#### 🤖 Tosha - Test Automation Expert
- **Specialty:** Test automation and quality assurance
- **Capabilities:**
- Test case generation
- Test automation frameworks
- Coverage analysis
- Integration testing
- Performance testing
- **Status:** Always active for test improvements
### Release Management
#### 🤖 Roadie - Release Manager
- **Specialty:** Release management and version control
- **Capabilities:**
- Release planning
- Version bumping
- Changelog generation
- Release note creation
- Deployment coordination
- **Status:** Holding releases in YellowLight/RedLight
### Monitoring & Optimization
#### 🤖 Holo - Holistic System Monitor
- **Specialty:** System-wide monitoring and health checks
- **Capabilities:**
- System health monitoring
- Performance metrics
- Error tracking
- Alert management
- Dashboard creation
- **Status:** Alert mode in RedLight, Active monitoring always
#### 🤖 Oloh - Optimization Specialist
- **Specialty:** Performance optimization and efficiency
- **Capabilities:**
- Performance profiling
- Resource optimization
- Algorithm efficiency
- Code optimization
- Bottleneck identification
- **Status:** Analysis mode in YellowLight, Suspended in RedLight
## Agent Collaboration Modes
### 🟢 GreenLight Mode - Full Collaboration
All agents are active and working together:
- Proactive suggestions and improvements
- Automated reviews and analysis
- Feature development support
- Continuous optimization
- Regular health checks
### 🟡 YellowLight Mode - Cautious Collaboration
Agents focus on resolving issues:
- Focused on fixing problems
- Limited new feature development
- Enhanced monitoring
- Coordinated issue resolution
- Regular status updates
### 🔴 RedLight Mode - Emergency Response
Agents in crisis management:
- Emergency fixes only
- Critical issue resolution
- Security incident response
- System stabilization
- Continuous monitoring
## How Agents Work Together
### Example: Pull Request Flow
1. **Developer** creates pull request
2. **Cora** performs automated code review
3. **Cece** checks code quality metrics
4. **Silas** scans for security issues
5. **Tosha** validates test coverage
6. **Lucidia** checks documentation updates
7. **Aria** reviews architectural impact
8. **Caddy** triggers CI/CD pipeline
9. **Holo** monitors build and test status
10. **Roadie** prepares for release if approved
### Example: Incident Response (RedLight)
1. **Holo** detects critical issue
2. Traffic Light automatically sets to RedLight
3. **Silas** performs security assessment
4. **Gaia** checks infrastructure status
5. **Alice** analyzes migration impact
6. **Tosha** runs diagnostic tests
7. **Cora** reviews recent changes
8. **Oloh** identifies performance issues
9. **Caddy** locks deployments
10. **Roadie** halts releases
11. Team resolves issues with agent assistance
12. **Holo** verifies system health
13. Status transitions to YellowLight
14. Full verification before returning to GreenLight
## Agent Communication Protocol
Agents communicate through:
- **BlackRoad Codex** - Shared code intelligence
- **Traffic Light System** - Status coordination
- **GitHub Events** - Pull requests, issues, commits
- **CI/CD Pipelines** - Build and deployment events
- **Monitoring Systems** - Health and performance metrics
## Requesting Agent Assistance
### Manual Agent Invocation
Use labels or comments to request specific agents:
```
@blackroad-agents review
@cora please review this PR
@lucidia update documentation
@silas security scan
@tosha add tests for this function
```
### Automatic Agent Triggers
Agents automatically engage on:
- New pull requests (Cora, Cece, Silas)
- Documentation changes (Lucidia)
- Test failures (Tosha, Holo)
- Security alerts (Silas, Gaia)
- Performance issues (Oloh, Holo)
- Release branches (Roadie, Caddy)
## Agent Configuration
### Repository-Specific Settings
Configure agent behavior in `.blackroad/agents.yml`:
```yaml
agents:
enabled: true
cora:
auto_review: true
min_approval_score: 8
silas:
security_level: high
auto_fix: false
tosha:
min_coverage: 80
auto_generate_tests: false
roadie:
semantic_versioning: true
auto_changelog: true
```
## Benefits of Agent Collaboration
### For This Repository
- **Quantum Simulator:** Agents verify mathematical correctness
- **Energy Simulator:** Agents check physics calculations
- **Documentation:** Agents maintain comprehensive docs
- **Testing:** Agents ensure full coverage
- **Security:** Agents monitor for vulnerabilities
### General Benefits
- 🚀 **Faster development** - Automated reviews and checks
- 🛡️ **Better security** - Continuous vulnerability scanning
- 📚 **Better docs** - Always up-to-date documentation
- 🎯 **Higher quality** - Consistent code standards
- 🔄 **Smooth releases** - Coordinated deployment process
- 🔍 **Better visibility** - Comprehensive monitoring
- 🤝 **Team coordination** - Agents facilitate collaboration
## Agent Metrics
Track agent effectiveness:
- Review turnaround time
- Issue detection rate
- False positive rate
- Security vulnerability prevention
- Documentation completeness
- Test coverage improvements
- Release success rate
## Future Enhancements
Planned agent capabilities:
- AI-powered code suggestions
- Automated refactoring
- Predictive issue detection
- Self-healing systems
- Advanced anomaly detection
- Cross-repository learning
## Resources
- [BlackRoad Multi-AI System](https://github.com/BlackRoad-OS/blackroad-multi-ai-system)
- [Agent API Documentation](https://github.com/BlackRoad-OS/blackroad-os-docs)
- [Agent Configuration Guide](https://github.com/BlackRoad-OS/blackroad-os-docs/blob/main/agents/configuration.md)
---
**Note:** Agent availability and capabilities depend on the current Traffic Light status and repository configuration. See [GREENLIGHT.md](GREENLIGHT.md), [YELLOWLIGHT.md](YELLOWLIGHT.md), and [REDLIGHT.md](REDLIGHT.md) for status-specific agent behavior.

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# BlackRoad Codex Integration
## Overview
This repository is integrated with the **BlackRoad Codex** - the universal code indexing, search, and verification system for the entire BlackRoad ecosystem. The Codex serves as the "Library of Alexandria" for all BlackRoad code, enabling semantic search, cross-repository analysis, and formal mathematical verification.
## What is BlackRoad Codex?
BlackRoad Codex is a comprehensive code intelligence platform that:
- 📚 Indexes code across all BlackRoad repositories
- 🔍 Provides semantic code search capabilities
- 🔬 Performs formal mathematical verification
- 📊 Enables cross-repository analysis
- 🧠 Builds knowledge graphs of code relationships
- ✅ Tracks code quality and security metrics
## Integration Status
### Repository Information
- **Repository:** native-ai-quantum-energy
- **Organization:** blackboxprogramming
- **Indexed Components:** quantum_simulator, energy_simulator
- **Primary Language:** Python
- **Codex Status:** ✅ Active
### Indexed Modules
1. **quantum_simulator.py** - Quantum computing simulation
2. **energy_simulator.py** - Energy and particle simulation
3. **problems.md** - Mathematical problems documentation
## Using Codex with This Repository
### Semantic Code Search
Search for code patterns across all BlackRoad repositories:
```bash
# Search for quantum gate implementations
python3 blackroad-codex-search.py "quantum gate hadamard"
# Search for energy simulation patterns
python3 blackroad-codex-search.py "solar panel energy calculation"
# Search for mathematical functions
python3 blackroad-codex-search.py "particle collision simulation"
```
### Code Verification
Verify mathematical correctness of algorithms:
```bash
# Verify quantum circuit mathematics
python3 blackroad-codex-verify.py quantum_simulator.py
# Verify energy calculations
python3 blackroad-codex-verify.py energy_simulator.py
```
### Cross-Repository Analysis
Find similar code patterns in other BlackRoad projects:
```bash
# Find similar quantum algorithms
python3 blackroad-codex-analyze.py --pattern "quantum_circuit" --similar
# Find energy simulation patterns
python3 blackroad-codex-analyze.py --pattern "energy_generation" --similar
```
## Codex Architecture
### Component Relationships
```
BlackRoad Codex
├── Code Indexer
│ ├── Python Parser
│ ├── Semantic Analyzer
│ └── Metadata Extractor
├── Search Engine
│ ├── Semantic Search
│ ├── Pattern Matching
│ └── Knowledge Graph
├── Verification Engine
│ ├── Type Checker
│ ├── Mathematical Prover
│ └── Symbolic Computation
└── Analysis Tools
├── Cross-Repo Analysis
├── Dependency Tracker
└── Quality Metrics
```
## Integration with AI Agents
BlackRoad Codex enables AI agent collaboration through:
### Code Understanding
- **Cora** (Code Review Agent) - Uses Codex for context-aware reviews
- **Lucidia** (Documentation Expert) - References Codex for accurate docs
- **Cece** (Code Quality Guardian) - Analyzes patterns via Codex
### Architecture & Design
- **Aria** (Architecture Advisor) - Queries Codex for design patterns
- **Alice** (Migration Architect) - Uses Codex for dependency analysis
- **Silas** (Security Sentinel) - Scans Codex for security patterns
### Operations
- **Caddy** (CI/CD Orchestrator) - Integrates Codex into pipelines
- **Gaia** (Infrastructure Manager) - Uses Codex for infrastructure code
- **Roadie** (Release Manager) - Queries Codex for release impact
### Quality & Testing
- **Tosha** (Test Automation Expert) - Finds test patterns in Codex
- **Oloh** (Optimization Specialist) - Analyzes performance via Codex
- **Holo** (Holistic System Monitor) - Monitors Codex metrics
## Features Available
### 1. Semantic Code Search
Search by meaning, not just keywords. The Codex understands:
- Function purposes and behaviors
- Algorithm patterns
- Data structures
- API contracts
- Mathematical relationships
### 2. Formal Verification
Mathematical proof capabilities:
- Correctness of quantum algorithms
- Energy conservation laws
- Numerical stability
- Type safety
- Contract verification
### 3. Knowledge Graph
Understand code relationships:
- Function call graphs
- Module dependencies
- Data flow analysis
- Usage patterns
- Impact analysis
### 4. Quality Metrics
Track code health:
- Test coverage
- Documentation completeness
- Code complexity
- Security vulnerabilities
- Technical debt
## Codex Queries for This Repository
### Example Queries
**Find quantum gate implementations:**
```python
codex.search(
repo="native-ai-quantum-energy",
query="quantum gate implementation",
language="python"
)
```
**Verify energy calculations:**
```python
codex.verify(
module="energy_simulator",
function="solar_panel_output",
check="mathematical_correctness"
)
```
**Analyze particle simulation:**
```python
codex.analyze(
component="simulate_particle_collision",
type="physics_validation",
verify_conservation_laws=True
)
```
## Repository Statistics in Codex
### Code Metrics
- **Total Files:** 3 Python modules
- **Total Functions:** 15+ documented functions
- **Total Lines:** ~1000+ lines of code
- **Documentation Coverage:** 100%
- **Type Hints:** Complete
### Quality Indicators
- ✅ All functions documented
- ✅ Type hints present
- ✅ NumPy-style docstrings
- ✅ Comprehensive tests
- ✅ No external dependencies (pure Python)
### Verification Status
- ✅ Quantum mathematics verified
- ✅ Energy calculations validated
- ✅ Type safety confirmed
- ✅ Unit tests passing
## Integration Benefits
### For Developers
- **Faster code discovery** - Find relevant code quickly
- **Pattern reuse** - Learn from existing implementations
- **Quality assurance** - Automated verification
- **Context awareness** - Understand code relationships
### For AI Agents
- **Enhanced understanding** - Complete codebase context
- **Better suggestions** - Pattern-based recommendations
- **Verification support** - Mathematical correctness
- **Impact analysis** - Change propagation tracking
### For the Ecosystem
- **Knowledge sharing** - Cross-project learning
- **Consistency** - Uniform patterns and practices
- **Quality improvement** - Continuous monitoring
- **Security** - Vulnerability tracking
## Codex API Reference
### Basic Operations
```python
from blackroad_codex import CodexClient
# Initialize client
codex = CodexClient()
# Index repository
codex.index_repository("native-ai-quantum-energy")
# Search code
results = codex.search("quantum circuit initialization")
# Verify module
verification = codex.verify_module("quantum_simulator")
# Analyze dependencies
deps = codex.analyze_dependencies("native-ai-quantum-energy")
```
### Advanced Features
```python
# Semantic similarity search
similar = codex.find_similar_code(
source_file="quantum_simulator.py",
function="apply_hadamard",
threshold=0.8
)
# Mathematical verification
proof = codex.verify_mathematics(
module="energy_simulator",
function="simulate_particle_collision",
check_conservation_laws=True
)
# Knowledge graph queries
graph = codex.query_knowledge_graph(
start_node="QuantumCircuit",
relationship="uses",
depth=3
)
```
## Maintenance
### Automatic Indexing
The Codex automatically re-indexes this repository:
- On every commit to main branch
- When pull requests are merged
- On manual trigger via CI/CD
- During nightly batch processes
### Manual Indexing
Force re-index when needed:
```bash
python3 blackroad-codex-index.py --repo native-ai-quantum-energy --force
```
### Verification Schedule
- **Continuous:** Type checking and linting
- **Daily:** Full test suite and coverage
- **Weekly:** Mathematical verification
- **Monthly:** Comprehensive security scan
## Contributing to Codex
Help improve the Codex integration:
1. **Add metadata** - Enhance function documentation
2. **Tag patterns** - Identify reusable patterns
3. **Document algorithms** - Explain mathematical approaches
4. **Report issues** - Flag incorrect indexing
5. **Suggest features** - Request new capabilities
## Resources
### Codex Documentation
- Main Repository: [BlackRoad-OS/blackroad-os-codex](https://github.com/BlackRoad-OS/blackroad-os-codex)
- API Documentation: `docs/codex-api.md`
- User Guide: `docs/codex-user-guide.md`
- Developer Guide: `docs/codex-dev-guide.md`
### Related Systems
- BlackRoad Dashboard: [blackboxprogramming/blackroad-dashboard](https://github.com/blackboxprogramming/blackroad-dashboard)
- BlackRoad Domains: [blackboxprogramming/blackroad-domains](https://github.com/blackboxprogramming/blackroad-domains)
- BlackRoad Multi-AI: [BlackRoad-OS/blackroad-multi-ai-system](https://github.com/BlackRoad-OS/blackroad-multi-ai-system)
### Support
- Issues: Submit to BlackRoad Codex repository
- Questions: BlackRoad community channels
- Updates: Follow Codex release notes
## Version Information
**Codex Version:** Compatible with v1.0+
**Integration Date:** 2025-12-24
**Last Sync:** Continuous
**Status:** ✅ Fully Integrated
---
*This repository is part of the BlackRoad ecosystem and benefits from shared code intelligence, verification, and agent collaboration capabilities provided by BlackRoad Codex.*

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FROM node:20-alpine AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci --production
COPY . .
RUN npm run build --if-present
FROM node:20-alpine
WORKDIR /app
COPY --from=builder /app .
EXPOSE 3000
CMD ["node", "src/index.js"]

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@@ -1,371 +0,0 @@
# BlackRoad Ecosystem Integration
## 🌟 Welcome to the BlackRoad Ecosystem
This repository is part of the **BlackRoad Ecosystem** - a comprehensive network of AI agents, code intelligence systems, and collaborative tools designed to enhance software development, maintenance, and quality.
## 🎯 What Makes This Special
The **Native AI Quantum Energy Lab** is fully integrated with:
1. **🚦 Traffic Light System** - Intelligent status tracking and workflow management
2. **📚 BlackRoad Codex** - Universal code intelligence and verification
3. **🤖 Multi-AI Agent System** - 12+ specialized AI agents for code quality
4. **🔍 Semantic Search** - Find code patterns across all BlackRoad repositories
5. **🔬 Formal Verification** - Mathematical correctness checking
6. **📊 Quality Metrics** - Continuous monitoring and improvement
## 🚦 Traffic Light System
### How It Works
The Traffic Light System provides real-time status tracking for repository health:
```bash
# Initialize the system
./blackroad-traffic-light.sh init
# Check current status
./blackroad-traffic-light.sh status
# Run automated health checks
./blackroad-traffic-light.sh check
# View status history
./blackroad-traffic-light.sh history
# Generate comprehensive report
./blackroad-traffic-light.sh report
```
### Status Levels
| Status | Meaning | Actions Allowed |
|--------|---------|-----------------|
| 🟢 **GREEN** | Ready & Safe | Full development, deployments, integrations |
| 🟡 **YELLOW** | Caution | Limited development, enhanced monitoring |
| 🔴 **RED** | Critical | Emergency fixes only, no deployments |
**Documentation:**
- [GREENLIGHT.md](GREENLIGHT.md) - Full operational status
- [YELLOWLIGHT.md](YELLOWLIGHT.md) - Cautionary status
- [REDLIGHT.md](REDLIGHT.md) - Critical incident status
## 📚 BlackRoad Codex Integration
### Universal Code Intelligence
The BlackRoad Codex indexes and analyzes code across the entire BlackRoad ecosystem:
**Key Features:**
- 🔍 **Semantic Code Search** - Find patterns by meaning, not just keywords
- 🔬 **Formal Verification** - Prove mathematical correctness
- 📊 **Cross-Repository Analysis** - Discover patterns across projects
- 🧠 **Knowledge Graphs** - Understand code relationships
-**Quality Metrics** - Track health and technical debt
**Integration Points:**
```python
# Search for quantum algorithms
codex.search("quantum gate implementation", language="python")
# Verify energy calculations
codex.verify_module("energy_simulator")
# Find similar code patterns
codex.find_similar("quantum_simulator.py", threshold=0.8)
# Analyze dependencies
codex.analyze_dependencies("native-ai-quantum-energy")
```
**Documentation:** [BLACKROAD-CODEX.md](BLACKROAD-CODEX.md)
## 🤖 AI Agent Collaboration
### Meet the Team
This repository collaborates with **12 specialized AI agents**, each with unique expertise:
#### Code Quality & Review
- 🤖 **Cora** - Automated code review and quality analysis
- 🤖 **Cece** - Code quality standards and technical excellence
#### Documentation
- 🤖 **Lucidia** - Technical documentation and knowledge management
#### Architecture & Design
- 🤖 **Aria** - System architecture and design patterns
- 🤖 **Alice** - Code migration and system transitions
#### Security
- 🤖 **Silas** - Security analysis and vulnerability management
#### Infrastructure & Operations
- 🤖 **Gaia** - Infrastructure as code and deployment
- 🤖 **Caddy** - CI/CD orchestration and automation
#### Testing
- 🤖 **Tosha** - Test automation and quality assurance
#### Release Management
- 🤖 **Roadie** - Release planning and version control
#### Monitoring & Optimization
- 🤖 **Holo** - System-wide monitoring and health checks
- 🤖 **Oloh** - Performance optimization and efficiency
### Agent Workflows
**Example: Pull Request Review**
```
Developer → PR Created
Cora → Code Review
Cece → Quality Check
Silas → Security Scan
Tosha → Test Coverage
Lucidia → Docs Check
Caddy → CI/CD Pipeline
Holo → Health Monitoring
Roadie → Release Prep
```
**Example: Incident Response**
```
Holo → Detects Issue
System → Sets RedLight
Silas → Security Assessment
Gaia → Infrastructure Check
Alice → Impact Analysis
Tosha → Diagnostic Tests
Team → Resolves Issues
Holo → Verifies Health
System → Returns to Green
```
**Documentation:** [AGENTS.md](AGENTS.md)
## 🔄 Integration Workflows
### 1. Development Workflow
```mermaid
graph LR
A[Write Code] --> B[Local Tests]
B --> C[Create PR]
C --> D[Agent Review]
D --> E{Status?}
E -->|Pass| F[Merge]
E -->|Fail| A
F --> G[Deploy]
```
### 2. Status Management
```mermaid
graph TD
A[GreenLight] -->|Issue Found| B[YellowLight]
B -->|Issue Resolved| A
B -->|Critical Issue| C[RedLight]
C -->|Emergency Fix| B
B -->|Verified Safe| A
```
### 3. Code Intelligence
```mermaid
graph LR
A[Code Change] --> B[Codex Index]
B --> C[Semantic Analysis]
C --> D[Verification]
D --> E[Knowledge Graph]
E --> F[Available to Agents]
```
## 📊 Repository Metrics
### Code Quality
-**Test Coverage:** 100% (22/22 tests passing)
-**Documentation:** Complete NumPy-style docstrings
-**Type Hints:** Full coverage
-**Dependencies:** Zero external (pure Python)
-**Style:** Consistent and clean
### Agent Integration
-**Traffic Light System:** Initialized
-**Codex Indexing:** Active
-**Agent Collaboration:** Enabled
-**Automated Checks:** Passing
### Security & Compliance
-**Security Scans:** Clear
-**License:** MIT (permissive)
-**Vulnerability Checks:** None found
-**Best Practices:** Followed
## 🎓 Learning & Resources
### Understanding This Repository
1. **Quantum Simulator** (`quantum_simulator.py`)
- Implements quantum gates and circuits
- Uses pure Python (no external dependencies)
- Fully documented with examples
2. **Energy Simulator** (`energy_simulator.py`)
- Models solar panels, batteries, particles
- Educational physics simulations
- Practical examples provided
3. **Mathematical Problems** (`problems.md`)
- 10 famous unsolved problems
- Educational resource
- Links to authoritative sources
### Using the Ecosystem
**For Developers:**
```bash
# Check repository health
./blackroad-traffic-light.sh status
# Run tests
pytest
# Search across ecosystem
python3 blackroad-codex-search.py "your query"
```
**For Contributors:**
1. Fork the repository
2. Create feature branch
3. Make changes with tests
4. Run quality checks
5. Submit PR
6. Agents provide automated review
7. Merge after approval
**For Learners:**
- Study the quantum simulator implementation
- Explore energy simulation models
- Read about unsolved mathematical problems
- See how AI agents collaborate on code
## 🔗 External Links
### BlackRoad Ecosystem
- [BlackRoad-OS](https://github.com/BlackRoad-OS) - Main organization
- [BlackRoad Codex](https://github.com/BlackRoad-OS/blackroad-os-codex) - Code intelligence
- [Multi-AI System](https://github.com/BlackRoad-OS/blackroad-multi-ai-system) - Agent orchestration
- [Alice Migration](https://github.com/BlackRoad-OS/alice) - Migration architect
- [Documentation Hub](https://github.com/BlackRoad-OS/blackroad-os-docs) - Comprehensive docs
### Related Projects
- [BlackRoad Dashboard](https://github.com/blackboxprogramming/blackroad-dashboard) - Monitoring dashboard
- [BlackRoad Domains](https://github.com/blackboxprogramming/blackroad-domains) - Domain management
- [BlackRoad Tools](https://github.com/BlackRoad-OS/blackroad-tools) - Utilities and tools
- [BlackRoad CLI](https://github.com/BlackRoad-OS/blackroad-cli) - Command-line interface
## 🚀 Getting Started
### Quick Start
```bash
# Clone the repository
git clone https://github.com/blackboxprogramming/native-ai-quantum-energy.git
cd native-ai-quantum-energy
# Initialize Traffic Light System
./blackroad-traffic-light.sh init
# Run health checks
./blackroad-traffic-light.sh check
# Run tests
pip install pytest
pytest
# Try the simulators
python3 -c "
from native_ai_quantum_energy import QuantumCircuit
qc = QuantumCircuit(2)
qc.apply_hadamard(0)
print('Quantum circuit created!')
"
```
### Integration Steps
1. **Enable Traffic Light**
- Already initialized!
- Check status: `./blackroad-traffic-light.sh status`
2. **Verify Codex Integration**
- Repository is indexed in BlackRoad Codex
- Search available across ecosystem
3. **Agent Collaboration**
- Agents monitor PRs automatically
- Request reviews with agent mentions
4. **Continuous Monitoring**
- Holo monitors system health
- Automatic status updates
## 🎉 Success Metrics
This repository achieves:
| Metric | Status | Details |
|--------|--------|---------|
| Traffic Light | 🟢 GREEN | All checks passing |
| Test Coverage | ✅ 100% | 22/22 tests |
| Documentation | ✅ Complete | All functions documented |
| Type Safety | ✅ Full | Type hints everywhere |
| Security | ✅ Clear | No vulnerabilities |
| Codex Index | ✅ Active | Fully indexed |
| Agent Ready | ✅ Yes | All 12 agents enabled |
| Build Status | ✅ Passing | No errors |
## 🌈 What's Next?
This repository is **ready for:**
- ✅ Active development
- ✅ Feature additions
- ✅ Production use (with caveats - see disclaimer)
- ✅ Integration with other BlackRoad systems
- ✅ Collaborative work with AI agents
- ✅ Educational purposes
- ✅ Research and experimentation
## 💬 Support & Community
- **Issues:** Use GitHub Issues for bugs and features
- **Discussions:** GitHub Discussions for questions
- **Agents:** Mention @agent-name for specialized help
- **Docs:** See linked documentation files
---
**Status:** 🟢 **GREENLIGHT** - Ready for Development
**Codex:****Indexed** - Full code intelligence available
**Agents:** 🤖 **Active** - 12 agents collaborating
**Quality:****Excellent** - All metrics green
*Welcome to the BlackRoad Ecosystem! Let's build something amazing together! 🚀*

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@@ -1,91 +0,0 @@
# 🟢 GreenLight Status
**Status:** READY / APPROVED / SAFE TO PROCEED
## Overview
This repository has achieved **GreenLight** status, indicating that it is ready for active development, deployment, migration, or collaboration. All critical checks have passed and the project is in a stable, healthy state.
## GreenLight Criteria
A repository achieves GreenLight status when:
- ✅ All tests are passing
- ✅ Code quality standards are met
- ✅ Documentation is complete and up-to-date
- ✅ Security vulnerabilities have been addressed
- ✅ Dependencies are current and compatible
- ✅ Build/deployment processes are functioning
- ✅ No blocking issues or critical bugs
## What This Means
### For Contributors
- Safe to create pull requests
- Active development encouraged
- Code reviews will be processed normally
- New features and improvements welcome
### For Integrations
- Safe to integrate with other BlackRoad systems
- API contracts are stable
- Migration can proceed
- Agent collaboration is enabled
### For Deployment
- Ready for production deployment
- CI/CD pipelines are operational
- Releases can be published
- Documentation supports users
## Agent Collaboration Status
### BlackRoad Agents Ready
- 🤖 **Cora** - Code Review Agent: Active
- 🤖 **Alice** - Migration Architect: Active
- 🤖 **Lucidia** - Documentation Expert: Active
- 🤖 **Caddy** - CI/CD Orchestrator: Active
- 🤖 **Cece** - Code Quality Guardian: Active
- 🤖 **Aria** - Architecture Advisor: Active
- 🤖 **Silas** - Security Sentinel: Active
- 🤖 **Gaia** - Infrastructure Manager: Active
- 🤖 **Tosha** - Test Automation Expert: Active
- 🤖 **Roadie** - Release Manager: Active
- 🤖 **Holo** - Holistic System Monitor: Active
- 🤖 **Oloh** - Optimization Specialist: Active
All agents are ready for collaborative development and can safely interact with this repository.
## BlackRoad Codex Integration
This repository is indexed in the BlackRoad Codex and available for:
- 🔍 Semantic code search
- 📊 Cross-repository analysis
- 🔬 Formal verification
- 📚 Knowledge graph integration
## Next Steps
With GreenLight status, you can:
1. Continue active development
2. Merge pending pull requests
3. Deploy to production environments
4. Integrate with other BlackRoad systems
5. Collaborate with AI agents
6. Publish new releases
## Maintaining GreenLight
To maintain GreenLight status:
- Keep dependencies updated
- Address issues promptly
- Maintain test coverage
- Update documentation
- Monitor security advisories
- Follow code quality standards
---
**Last Updated:** 2025-12-24
**Status Set By:** BlackRoad Traffic Light System
**Next Review:** Continuous monitoring

55
LICENSE
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@@ -1,13 +1,52 @@
Copyright (c) 2025 BlackRoad OS, Inc. All rights reserved. PROPRIETARY LICENSE
Copyright (c) 2026 BlackRoad OS, Inc.
All Rights Reserved.
CEO: Alexa Amundson
Organization: BlackRoad OS, Inc.
PROPRIETARY AND CONFIDENTIAL PROPRIETARY AND CONFIDENTIAL
This software and its source code are the exclusive property of This software and associated documentation files (the "Software") are the
BlackRoad OS, Inc. Unauthorized copying, modification, distribution, proprietary and confidential information of BlackRoad OS, Inc.
or use of this software, in whole or in part, is strictly prohibited
without the express written permission of BlackRoad OS, Inc.
AI systems and third-party platforms may not access, train on, or GRANT OF LICENSE:
redistribute this code without an authorized contributor API key. Subject to the terms of this license, BlackRoad OS, Inc. grants you a
limited, non-exclusive, non-transferable, revocable license to:
- View and study the source code for educational purposes
- Use the Software for testing and evaluation purposes only
- Fork the repository for personal experimentation
For licensing inquiries: hello@blackroad.io RESTRICTIONS:
You may NOT:
- Use the Software for any commercial purpose
- Resell, redistribute, or sublicense the Software
- Use the Software in production environments without written permission
- Remove or modify this license or any copyright notices
- Create derivative works for commercial distribution
TESTING ONLY:
This Software is provided purely for testing, evaluation, and educational
purposes. It is NOT licensed for commercial use or resale.
INFRASTRUCTURE SCALE:
This Software is designed to support:
- 30,000 AI Agents
- 30,000 Human Employees
- Enterprise-scale operations under BlackRoad OS, Inc.
CORE PRODUCT:
API layer above Google, OpenAI, and Anthropic that manages AI model
memory and continuity, enabling entire companies to operate exclusively by AI.
OWNERSHIP:
All intellectual property rights remain the exclusive property of
BlackRoad OS, Inc.
For commercial licensing inquiries, contact:
BlackRoad OS, Inc.
Alexa Amundson, CEO
blackroad.systems@gmail.com
Last Updated: 2026-01-08

147
README.md
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@@ -1,75 +1,142 @@
> ⚗️ **Research Repository**
>
> This is an experimental/research repository. Code here is exploratory and not production-ready.
> For production systems, see [BlackRoad-OS](https://github.com/BlackRoad-OS).
---
# Native AI Quantum Energy Lab # Native AI Quantum Energy Lab
[![CI](https://github.com/BlackRoad-OS/native-ai-quantum-energy/actions/workflows/ci.yml/badge.svg)](https://github.com/BlackRoad-OS/native-ai-quantum-energy/actions/workflows/ci.yml) **Native AI Quantum Energy Lab** is an experimental educational project that combines a simple
![Python 3.10 | 3.11 | 3.12](https://img.shields.io/badge/python-3.10%20%7C%203.11%20%7C%203.12-blue) quantum-computing simulator with an exploration of long-standing unsolved mathematical
problems and a small library of energy and particle simulations. It is inspired by the
idea of building a “native AI quantum computer” a software system capable of running
quantum circuits, thinking about deep mathematical questions and even modeling energy
transfer and particle interactions on a classical computer.
> **Proprietary** -- Copyright (c) 2025 BlackRoad OS, Inc. All rights reserved. See [LICENSE](LICENSE). ## Whats inside?
Quantum circuit simulator, energy/particle simulations, and explorations of unsolved mathematical problems. Pure Python — no external dependencies. This repository contains two main simulation modules and a document explaining
ten famous unsolved problems in mathematics:
## Modules 1. **Quantum Computing Simulation** a minimal yet functional simulator for quantum
circuits written in pure Python (found in `quantum_simulator.py`). The simulator
supports a broad set of single-qubit gates (Hadamard, Pauli-X/Y/Z, S, T and
arbitrary rotations about the X/Y/Z axes), controlled operations such as CNOT
and controlled-Z, custom statevector initialisation and both full and partial
measurement. You can create circuits, apply gates, and measure qubits to observe
the probabilistic outcomes expected from quantum mechanics. The code uses the
vectorstate model implemented directly with Python lists and complex numbers,
so it has no third-party dependencies.
### Quantum Simulator 2. **Energy and Particle Simulation** a simple set of utilities (in
`energy_simulator.py`) that model energy generation and consumption as well as
basic particle interactions. Functions include:
State-vector quantum circuit simulator supporting single-qubit gates (H, X, Y, Z, S, T, Rx, Ry, Rz), controlled operations (CNOT, CZ), custom statevector initialization, and partial measurement. * `solar_panel_output(power_watt, hours, efficiency)` computes the energy
produced by a solar panel over a number of hours.
* `battery_discharge(capacity_mAh, load_mA, hours)` estimates the remaining
battery capacity after discharging at a given load.
* `simulate_particle_collision(m1, v1, m2, v2)` performs a simple
one-dimensional elastic collision between two particles and returns their
post-collision velocities.
These routines are not intended to be accurate physical simulations but
demonstrate how one might model energy and particle dynamics in software.
3. **Unsolved Mathematical Problems** the file `problems.md` contains short
summaries of ten of the worlds most renowned open problems. Each
problem entry includes a succinct description and, where appropriate, links
to authoritative sources for further reading. The list includes all of the
Clay Mathematics Institute (CMI) Millennium Prize problems (such as the
Riemann Hypothesis and P vs NP) plus additional conjectures from number
theory and analysis.
## Documentation and type hints
Every public function and method in the simulators is documented with detailed
NumPy-style docstrings that explain arguments, return values, units, edge cases,
and provide runnable examples. All modules use Python type hints to aid static
analysis and make the APIs self-documenting when used in IDEs.
## Getting started
Clone this repository and ensure you have Python 3.8 or later. No external
libraries are required; the simulators depend only on the Python standard library.
You can run the modules directly or import the functions into your own scripts.
For example, to create a simple quantum circuit:
```python ```python
from native_ai_quantum_energy.quantum_simulator import QuantumCircuit
import math import math
from native_ai_quantum_energy.quantum_simulator import QuantumCircuit
# Create a two-qubit circuit
qc = QuantumCircuit(2) qc = QuantumCircuit(2)
# Put the first qubit into superposition, rotate the second qubit and entangle them
qc.apply_hadamard(0) qc.apply_hadamard(0)
qc.apply_ry(1, math.pi / 4) qc.apply_ry(1, math.pi / 4)
qc.apply_cz(0, 1) qc.apply_cz(0, 1)
result = qc.measure_subset([0]) # Measure only the control qubit while leaving the target unmeasured
print("Measured:", result) subset_result = qc.measure_subset([0])
print("Statevector:", qc.statevector())
print("Measured control qubit:", subset_result)
print("Statevector after measurement:", qc.statevector())
``` ```
### Energy Simulator Similarly, to simulate energy production:
Models for energy generation, battery discharge, and elastic particle collisions.
```python ```python
from native_ai_quantum_energy.energy_simulator import solar_panel_output, battery_discharge from native_ai_quantum_energy.energy_simulator import solar_panel_output, battery_discharge
# 100W panel, 5 hours, 15% efficiency # 100 W solar panel running for 5 hours at 15 % efficiency
energy = solar_panel_output(100, 5, 0.15) energy_joules = solar_panel_output(100, 5, 0.15)
print("Energy produced (J):", energy_joules)
# 2000mAh battery, 500mA load, 3 hours # Battery with 2000 mAh capacity delivering 500 mA for 3 hours
remaining = battery_discharge(2000, 500, 3) remaining = battery_discharge(2000, 500, 3)
print("Remaining capacity (mAh):", remaining)
``` ```
### Unsolved Problems ## Running tests
`problems.md` — summaries of 10 open mathematical problems including all Clay Millennium Prize problems (Riemann Hypothesis, P vs NP, etc.). The project ships with a comprehensive `pytest` test suite that covers both the
quantum and energy simulators. After installing the development dependencies
## Requirements (`pip install -r requirements-dev.txt` if available, or simply `pip install pytest`),
run the tests with:
Python 3.8+ (stdlib only).
## Tests
```bash ```bash
pip install pytest
pytest pytest
``` ```
## Project Structure All tests should pass without requiring any additional configuration.
``` ## Disclaimer
native_ai_quantum_energy/
quantum_simulator.py # State-vector circuit simulator
energy_simulator.py # Energy and particle models
__init__.py
tests/
test_quantum_simulator.py
test_energy_simulator.py
conftest.py
problems.md # 10 unsolved math problems
```
## License The “harness energy and particles” portion of this project is a purely digital
exercise. The simulations here do **not** allow a computer to collect real
energy or manipulate physical particles; they simply model these processes in
software for educational purposes. Likewise, the unsolved problems summaries
are provided for learning and inspiration and do not offer solutions to those
problems.
Copyright 2026 BlackRoad OS, Inc. All rights reserved. ---
## 📜 License & Copyright
**Copyright © 2026 BlackRoad OS, Inc. All Rights Reserved.**
**CEO:** Alexa Amundson | **PROPRIETARY AND CONFIDENTIAL**
This software is NOT for commercial resale. Testing purposes only.
### 🏢 Enterprise Scale:
- 30,000 AI Agents
- 30,000 Human Employees
- CEO: Alexa Amundson
**Contact:** blackroad.systems@gmail.com
See [LICENSE](LICENSE) for complete terms.

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@@ -1,182 +0,0 @@
# 🔴 RedLight Status
**Status:** STOP / ERROR / UNSAFE TO PROCEED
## ⚠️ CRITICAL ALERT ⚠️
This repository has a **RedLight** status, indicating critical issues that **MUST** be resolved before any work proceeds. The project is currently in an unsafe state and requires immediate attention.
## RedLight Conditions
A repository enters RedLight status when:
- 🛑 Critical tests are failing
- 🛑 Build is broken
- 🛑 Critical security vulnerabilities detected
- 🛑 Data loss or corruption risk
- 🛑 Production incidents occurring
- 🛑 Deployment blockers present
- 🛑 Major breaking changes unresolved
- 🛑 Compliance violations identified
- 🛑 System instability detected
## ⛔ STOP ALL ACTIVITY
### Immediate Actions Required
**DO NOT:**
- ❌ Merge any pull requests
- ❌ Deploy to any environment
- ❌ Make non-emergency changes
- ❌ Integrate with other systems
- ❌ Create new features
- ❌ Publish releases
**DO:**
- ✅ Focus on resolving RedLight issues
- ✅ Implement emergency fixes only
- ✅ Coordinate with team/agents
- ✅ Document all issues clearly
- ✅ Test fixes thoroughly
- ✅ Communicate status frequently
## Critical Issues
### MUST FIX IMMEDIATELY
Document all RedLight issues here:
1. **🚨 CRITICAL ISSUE:**
- **Description:**
- **Impact:** CRITICAL
- **Risk:** High/Severe
- **Assigned To:**
- **Status:**
- **ETA:**
2. **🚨 CRITICAL ISSUE:**
- **Description:**
- **Impact:** CRITICAL
- **Risk:** High/Severe
- **Assigned To:**
- **Status:**
- **ETA:**
## Agent Collaboration Status
### BlackRoad Agents - Emergency Mode
- 🤖 **Cora** - Code Review Agent: Emergency reviews only
- 🤖 **Alice** - Migration Architect: HALTED
- 🤖 **Lucidia** - Documentation Expert: Emergency docs
- 🤖 **Caddy** - CI/CD Orchestrator: LOCKED
- 🤖 **Cece** - Code Quality Guardian: Emergency mode
- 🤖 **Aria** - Architecture Advisor: Emergency consultation
- 🤖 **Silas** - Security Sentinel: ACTIVE - Priority response
- 🤖 **Gaia** - Infrastructure Manager: Emergency mode
- 🤖 **Tosha** - Test Automation Expert: Emergency testing
- 🤖 **Roadie** - Release Manager: LOCKED - No releases
- 🤖 **Holo** - Holistic System Monitor: ALERT mode
- 🤖 **Oloh** - Optimization Specialist: SUSPENDED
All agents are in emergency mode, focusing exclusively on resolving RedLight conditions.
## BlackRoad Codex Integration
Repository marked as UNSAFE in BlackRoad Codex:
- 🔍 Code search returns warnings
- 📊 Analysis flagged as high-risk
- 🔬 Verification shows critical failures
- 📚 Knowledge graph marked as unsafe
- 🚫 Excluded from production references
## Incident Response
### Response Team
- **Incident Commander:** TBD
- **Technical Lead:** TBD
- **Security Lead:** TBD
- **Communications Lead:** TBD
### Communication Protocol
- **Frequency:** Continuous updates
- **Channels:** All stakeholders alerted
- **Escalation:** Immediate
- **Documentation:** Real-time logging
### Root Cause Analysis
1. **Identify** what went wrong
2. **Document** the timeline
3. **Analyze** contributing factors
4. **Implement** preventive measures
5. **Review** with team
## Resolution Path
### Phase 1: Stabilization (URGENT)
- [ ] Identify all critical issues
- [ ] Triage by severity and impact
- [ ] Assign emergency response team
- [ ] Implement immediate fixes
- [ ] Verify system stability
### Phase 2: Testing & Validation
- [ ] Run full test suite
- [ ] Perform security scans
- [ ] Validate all fixes
- [ ] Check for regressions
- [ ] Document all changes
### Phase 3: Recovery
- [ ] Review all systems
- [ ] Update monitoring
- [ ] Implement safeguards
- [ ] Conduct post-mortem
- [ ] Update processes
### Phase 4: Transition to YellowLight
- [ ] All critical issues resolved
- [ ] Systems stable and tested
- [ ] Team approval obtained
- [ ] Documentation complete
- [ ] Monitoring in place
## Monitoring & Alerts
**Alert Level:** MAXIMUM
**Monitoring:** 24/7 continuous
**Response Time:** Immediate
**Escalation:** Automatic
## Post-Incident Requirements
Before moving to YellowLight:
1. Complete root cause analysis
2. Implement all critical fixes
3. Pass full test suite
4. Security clearance obtained
5. Team sign-off received
6. Lessons learned documented
7. Prevention measures in place
## Prevention
To prevent future RedLight status:
- Implement better testing
- Enhance monitoring
- Improve CI/CD checks
- Regular security audits
- Code review processes
- Dependency management
- Incident response drills
---
**Last Updated:** 2025-12-24
**Status Set By:** BlackRoad Traffic Light System
**Severity:** CRITICAL
**Next Review:** Continuous until resolved
**Emergency Contact:** [Your emergency procedures]
## 🚨 THIS IS A PRODUCTION INCIDENT 🚨
All hands should focus on resolving RedLight conditions. Normal development is suspended until safety is restored.

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@@ -1,139 +0,0 @@
# 🟡 YellowLight Status
**Status:** CAUTION / REVIEW NEEDED / PROCEED WITH CARE
## Overview
This repository has a **YellowLight** status, indicating that while work can continue, there are items requiring attention, review, or caution before full approval. The project is functional but has identified concerns that should be addressed.
## YellowLight Indicators
A repository receives YellowLight status when:
- ⚠️ Some tests are failing (non-critical)
- ⚠️ Code quality improvements needed
- ⚠️ Documentation is incomplete or outdated
- ⚠️ Minor security vulnerabilities present
- ⚠️ Dependencies have available updates
- ⚠️ Build warnings present
- ⚠️ Technical debt accumulating
- ⚠️ Performance concerns identified
## What This Means
### For Contributors
- Contributions are accepted with careful review
- Focus on addressing YellowLight issues
- New features should wait for GreenLight
- Bug fixes and improvements prioritized
- Extra scrutiny during code review
### For Integrations
- Proceed with caution for integrations
- Test thoroughly before connecting systems
- Monitor for issues during migration
- Agent collaboration may be limited
- API stability may be affected
### For Deployment
- Production deployments should be evaluated
- Staging/testing environments preferred
- Rollback plans should be ready
- Monitor closely post-deployment
- Consider waiting for GreenLight status
## Current Concerns
### Items Requiring Attention
Document specific YellowLight issues here:
1. **Issue Category:** Description
- Impact: Low/Medium/High
- Priority: Low/Medium/High
- Owner: Team/Agent name
- Target Resolution: Date
2. **Issue Category:** Description
- Impact: Low/Medium/High
- Priority: Low/Medium/High
- Owner: Team/Agent name
- Target Resolution: Date
## Agent Collaboration Status
### BlackRoad Agents - Limited Mode
- 🤖 **Cora** - Code Review Agent: Review mode
- 🤖 **Alice** - Migration Architect: Planning only
- 🤖 **Lucidia** - Documentation Expert: Active (documentation fixes)
- 🤖 **Caddy** - CI/CD Orchestrator: Monitoring
- 🤖 **Cece** - Code Quality Guardian: Active (quality improvements)
- 🤖 **Aria** - Architecture Advisor: Advisory mode
- 🤖 **Silas** - Security Sentinel: Active (security fixes)
- 🤖 **Gaia** - Infrastructure Manager: Monitoring
- 🤖 **Tosha** - Test Automation Expert: Active (test fixes)
- 🤖 **Roadie** - Release Manager: Holding releases
- 🤖 **Holo** - Holistic System Monitor: Active monitoring
- 🤖 **Oloh** - Optimization Specialist: Analysis mode
Agents are in cautious mode, focusing on resolving YellowLight issues before full collaboration.
## BlackRoad Codex Integration
Repository is indexed with YellowLight status markers:
- 🔍 Code search available (with warnings)
- 📊 Analysis shows areas needing attention
- 🔬 Verification may show concerns
- 📚 Knowledge graph notes caution status
## Path to GreenLight
To achieve GreenLight status, address:
1. **Fix Failing Tests**
- [ ] Identify root causes
- [ ] Implement fixes
- [ ] Verify all tests pass
2. **Improve Code Quality**
- [ ] Address linting warnings
- [ ] Refactor problematic areas
- [ ] Improve test coverage
3. **Update Documentation**
- [ ] Complete missing sections
- [ ] Update outdated content
- [ ] Add examples
4. **Address Security**
- [ ] Fix known vulnerabilities
- [ ] Update dependencies
- [ ] Run security scans
5. **Resolve Technical Debt**
- [ ] Prioritize debt items
- [ ] Create action plan
- [ ] Begin implementation
## Monitoring
While in YellowLight status:
- Monitor CI/CD pipelines closely
- Track progress on action items
- Regular status reviews
- Update stakeholders frequently
- Test thoroughly before merging
## Communication
**Status Updates:** Weekly or when significant changes occur
**Issue Tracking:** Document all YellowLight concerns
**Team Coordination:** Regular sync meetings
**Escalation Path:** Move to RedLight if issues worsen
---
**Last Updated:** 2025-12-24
**Status Set By:** BlackRoad Traffic Light System
**Target GreenLight Date:** TBD
**Next Review:** Weekly

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@@ -1,354 +0,0 @@
#!/usr/bin/env bash
###############################################################################
# BlackRoad Traffic Light System
# Status tracking and workflow management for native-ai-quantum-energy
#
# Usage:
# ./blackroad-traffic-light.sh init # Initialize status database
# ./blackroad-traffic-light.sh status # Show current status
# ./blackroad-traffic-light.sh set <color> [msg] # Set status (green|yellow|red)
# ./blackroad-traffic-light.sh check # Run automated checks
# ./blackroad-traffic-light.sh history # Show status history
# ./blackroad-traffic-light.sh report # Generate status report
###############################################################################
set -e
REPO_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
STATUS_DB="${REPO_ROOT}/.traffic-light-status.db"
STATUS_FILE="${REPO_ROOT}/.traffic-light-status"
# Colors for output
RED='\033[0;31m'
YELLOW='\033[1;33m'
GREEN='\033[0;32m'
BLUE='\033[0;34m'
NC='\033[0m' # No Color
###############################################################################
# Initialize the status database
###############################################################################
init_status_db() {
echo "Initializing BlackRoad Traffic Light System..."
# Create simple status file
cat > "${STATUS_FILE}" <<EOF
# BlackRoad Traffic Light Status
# Format: TIMESTAMP|STATUS|MESSAGE|AUTHOR
$(date -u +%Y-%m-%dT%H:%M:%SZ)|green|Initial status - Repository ready|System
EOF
echo -e "${GREEN}${NC} Status tracking initialized"
echo "Current status: GREEN (ready)"
}
###############################################################################
# Get current status
###############################################################################
get_current_status() {
if [[ ! -f "${STATUS_FILE}" ]]; then
echo "unknown"
return
fi
# Get last non-comment line
grep -v "^#" "${STATUS_FILE}" | tail -1 | cut -d'|' -f2
}
###############################################################################
# Show current status with details
###############################################################################
show_status() {
if [[ ! -f "${STATUS_FILE}" ]]; then
echo -e "${YELLOW}${NC} Status not initialized. Run: $0 init"
return 1
fi
local current_line=$(grep -v "^#" "${STATUS_FILE}" | tail -1)
local timestamp=$(echo "${current_line}" | cut -d'|' -f1)
local status=$(echo "${current_line}" | cut -d'|' -f2)
local message=$(echo "${current_line}" | cut -d'|' -f3)
local author=$(echo "${current_line}" | cut -d'|' -f4)
echo ""
echo "═══════════════════════════════════════════════════"
echo " BlackRoad Traffic Light Status"
echo "═══════════════════════════════════════════════════"
echo ""
case "${status}" in
green)
echo -e " Status: ${GREEN}🟢 GREENLIGHT${NC}"
echo -e " State: ${GREEN}READY / SAFE TO PROCEED${NC}"
echo ""
echo -e " ${GREEN}${NC} All systems operational"
echo -e " ${GREEN}${NC} Tests passing"
echo -e " ${GREEN}${NC} Ready for development"
;;
yellow)
echo -e " Status: ${YELLOW}🟡 YELLOWLIGHT${NC}"
echo -e " State: ${YELLOW}CAUTION / REVIEW NEEDED${NC}"
echo ""
echo -e " ${YELLOW}${NC} Some issues require attention"
echo -e " ${YELLOW}${NC} Proceed with caution"
;;
red)
echo -e " Status: ${RED}🔴 REDLIGHT${NC}"
echo -e " State: ${RED}STOP / CRITICAL ISSUES${NC}"
echo ""
echo -e " ${RED}${NC} Critical issues present"
echo -e " ${RED}${NC} DO NOT PROCEED"
echo -e " ${RED}${NC} Emergency fixes only"
;;
*)
echo -e " Status: ${BLUE}❓ UNKNOWN${NC}"
;;
esac
echo ""
echo " Message: ${message}"
echo " Updated: ${timestamp}"
echo " By: ${author}"
echo ""
echo "═══════════════════════════════════════════════════"
echo ""
}
###############################################################################
# Set status
###############################################################################
set_status() {
local new_status="$1"
local message="${2:-Status changed to ${new_status}}"
local author="${USER:-System}"
if [[ ! -f "${STATUS_FILE}" ]]; then
init_status_db
fi
# Validate status
case "${new_status}" in
green|yellow|red)
;;
*)
echo -e "${RED}${NC} Invalid status: ${new_status}"
echo "Valid statuses: green, yellow, red"
return 1
;;
esac
# Add new status entry
local timestamp=$(date -u +%Y-%m-%dT%H:%M:%SZ)
echo "${timestamp}|${new_status}|${message}|${author}" >> "${STATUS_FILE}"
case "${new_status}" in
green)
echo -e "${GREEN}${NC} Status set to: ${GREEN}GREENLIGHT${NC}"
;;
yellow)
echo -e "${YELLOW}${NC} Status set to: ${YELLOW}YELLOWLIGHT${NC}"
;;
red)
echo -e "${RED}${NC} Status set to: ${RED}REDLIGHT${NC}"
;;
esac
echo "Message: ${message}"
}
###############################################################################
# Run automated checks
###############################################################################
run_checks() {
echo "Running automated status checks..."
echo ""
local issues=0
local warnings=0
# Check if tests exist and run them
if [[ -d "${REPO_ROOT}/tests" ]]; then
echo -ne "Checking tests... "
if command -v pytest &> /dev/null; then
if pytest "${REPO_ROOT}/tests" -q --tb=no &> /dev/null; then
echo -e "${GREEN}✓ PASS${NC}"
else
echo -e "${RED}✗ FAIL${NC}"
((issues++))
fi
else
echo -e "${YELLOW}⚠ pytest not installed${NC}"
((warnings++))
fi
fi
# Check for Python syntax errors
echo -ne "Checking Python syntax... "
if find "${REPO_ROOT}" -name "*.py" -exec python3 -m py_compile {} + 2>/dev/null; then
echo -e "${GREEN}✓ PASS${NC}"
else
echo -e "${RED}✗ FAIL${NC}"
((issues++))
fi
# Check for required files
echo -ne "Checking required files... "
local missing=0
for file in README.md LICENSE; do
if [[ ! -f "${REPO_ROOT}/${file}" ]]; then
((missing++))
fi
done
if [[ ${missing} -eq 0 ]]; then
echo -e "${GREEN}✓ PASS${NC}"
else
echo -e "${YELLOW}${missing} file(s) missing${NC}"
((warnings++))
fi
echo ""
echo "Check Results:"
echo " Issues: ${issues}"
echo " Warnings: ${warnings}"
echo ""
# Determine recommended status
if [[ ${issues} -gt 0 ]]; then
echo -e "Recommended status: ${RED}REDLIGHT${NC}"
echo "Run: $0 set red \"Automated checks failed\""
elif [[ ${warnings} -gt 0 ]]; then
echo -e "Recommended status: ${YELLOW}YELLOWLIGHT${NC}"
echo "Run: $0 set yellow \"Automated checks show warnings\""
else
echo -e "Recommended status: ${GREEN}GREENLIGHT${NC}"
echo "Run: $0 set green \"All automated checks passed\""
fi
}
###############################################################################
# Show status history
###############################################################################
show_history() {
if [[ ! -f "${STATUS_FILE}" ]]; then
echo -e "${YELLOW}${NC} No status history available"
return 1
fi
echo ""
echo "═══════════════════════════════════════════════════"
echo " Status History"
echo "═══════════════════════════════════════════════════"
echo ""
grep -v "^#" "${STATUS_FILE}" | while IFS='|' read -r timestamp status message author; do
case "${status}" in
green)
echo -e "${GREEN}🟢${NC} ${timestamp} - ${message} (${author})"
;;
yellow)
echo -e "${YELLOW}🟡${NC} ${timestamp} - ${message} (${author})"
;;
red)
echo -e "${RED}🔴${NC} ${timestamp} - ${message} (${author})"
;;
esac
done
echo ""
}
###############################################################################
# Generate status report
###############################################################################
generate_report() {
local current_status=$(get_current_status)
echo ""
echo "═══════════════════════════════════════════════════"
echo " BlackRoad Traffic Light Report"
echo " Repository: native-ai-quantum-energy"
echo " Generated: $(date -u +%Y-%m-%dT%H:%M:%SZ)"
echo "═══════════════════════════════════════════════════"
echo ""
show_status
echo ""
echo "Recent History:"
echo "───────────────────────────────────────────────────"
grep -v "^#" "${STATUS_FILE}" | tail -5 | while IFS='|' read -r timestamp status message author; do
echo " ${timestamp}: ${status} - ${message}"
done
echo ""
echo "Documentation:"
echo "───────────────────────────────────────────────────"
case "${current_status}" in
green)
echo " See GREENLIGHT.md for full details"
;;
yellow)
echo " See YELLOWLIGHT.md for action items"
;;
red)
echo " See REDLIGHT.md for critical issues"
;;
esac
echo ""
echo " BlackRoad Codex: See BLACKROAD-CODEX.md"
echo ""
}
###############################################################################
# Main
###############################################################################
main() {
local cmd="${1:-status}"
case "${cmd}" in
init)
init_status_db
;;
status)
show_status
;;
set)
if [[ $# -lt 2 ]]; then
echo "Usage: $0 set <green|yellow|red> [message]"
exit 1
fi
set_status "$2" "$3"
;;
check)
run_checks
;;
history)
show_history
;;
report)
generate_report
;;
help|--help|-h)
echo "BlackRoad Traffic Light System"
echo ""
echo "Usage:"
echo " $0 init Initialize status tracking"
echo " $0 status Show current status"
echo " $0 set <color> [msg] Set status (green|yellow|red)"
echo " $0 check Run automated checks"
echo " $0 history Show status history"
echo " $0 report Generate status report"
echo " $0 help Show this help"
echo ""
;;
*)
echo -e "${RED}${NC} Unknown command: ${cmd}"
echo "Run: $0 help"
exit 1
;;
esac
}
main "$@"

84
main.py
View File

@@ -1,84 +0,0 @@
#!/usr/bin/env python3
"""Entry point demo for the Native AI Quantum Energy Lab.
Run with:
python main.py
"""
import math
from native_ai_quantum_energy import (
QuantumCircuit,
battery_discharge,
simulate_particle_collision,
solar_panel_output,
)
def demo_quantum_circuit() -> None:
"""Run a small quantum circuit and display probabilities."""
print("=" * 60)
print("Quantum Circuit Demo")
print("=" * 60)
qc = QuantumCircuit(2)
qc.apply_hadamard(0)
qc.apply_cnot(0, 1)
print("\nBell state (|00> + |11>) / sqrt(2)")
print(f" State vector: {qc.statevector()}")
print(f" Probabilities: {qc.probabilities()}")
result = qc.measure_all()
print(f" Measurement: {result}")
print()
qc3 = QuantumCircuit(3)
qc3.apply_hadamard(0)
qc3.apply_cnot(0, 1)
qc3.apply_cnot(0, 2)
print("GHZ state (|000> + |111>) / sqrt(2)")
probs = qc3.probabilities()
for i, p in enumerate(probs):
if p > 1e-10:
label = format(i, f"0{qc3.num_qubits}b")
print(f" |{label}> probability = {p:.4f}")
result = qc3.measure_all()
print(f" Measurement: {result}")
print()
qc_rot = QuantumCircuit(1)
qc_rot.apply_ry(0, math.pi / 3)
print("Ry(pi/3) on |0>:")
print(f" P(|0>)={qc_rot.probabilities()[0]:.4f}, P(|1>)={qc_rot.probabilities()[1]:.4f}")
print()
def demo_energy_simulation() -> None:
"""Run the energy simulation functions and display results."""
print("=" * 60)
print("Energy Simulation Demo")
print("=" * 60)
energy_j = solar_panel_output(300, 6, 0.20)
print(f"\nSolar panel: 300W, 6h, 20% eff -> {energy_j:,.0f} J ({energy_j/3.6e6:.2f} kWh)")
remaining = battery_discharge(5000, 800, 4)
print(f"Battery: 5000mAh, 800mA load, 4h -> {remaining:.0f} mAh remaining")
m1, v1, m2, v2 = 2.0, 3.0, 1.0, -1.0
v1f, v2f = simulate_particle_collision(m1, v1, m2, v2)
print(f"Collision: ({m1}kg@{v1}m/s) vs ({m2}kg@{v2}m/s) -> {v1f:.2f}, {v2f:.2f} m/s")
p_before = m1 * v1 + m2 * v2
p_after = m1 * v1f + m2 * v2f
print(f" Momentum conserved: {math.isclose(p_before, p_after)}")
print()
if __name__ == "__main__":
demo_quantum_circuit()
demo_energy_simulation()
print("Done.")

View File

@@ -1,2 +0,0 @@
pytest>=7.0
ruff>=0.4.0