greenlang-cli 0.2.0

Developer-first Climate Intelligence Framework (core rails)

🌍 GreenLang: The LangChain of Climate Intelligence

🚀 What is GreenLang?

GreenLang is the world's first Climate Intelligence orchestration framework - a revolutionary platform that brings LangChain-style modularity and composability to sustainable computing and climate-aware software development. Just as LangChain revolutionized LLM application development through chains and agents, GreenLang transforms how we build, deploy, and optimize software for environmental sustainability.

🎯 The Vision: Intelligence Meets Sustainability

In an era where every computation has a carbon cost, GreenLang emerges as the critical bridge between artificial intelligence and environmental responsibility. We're not just building another DevOps tool - we're creating an intelligent ecosystem where:

• Every line of code is carbon-aware
• Every deployment decision is climate-optimized
• Every pipeline execution minimizes environmental impact
• Every system learns and adapts to reduce its footprint

🔗 Why "LangChain of Climate Intelligence"?

Composable Climate Components

Just as LangChain allows developers to chain together LLM capabilities, GreenLang enables the composition of climate-intelligent modules:

# Example: Climate-Aware ML Pipeline
pipeline:
  name: sustainable-ml-training

  chains:
    - carbon-monitor:
        track: real-time-emissions
        optimize: gpu-scheduling

    - green-compute:
        select: renewable-energy-regions
        schedule: low-carbon-hours

    - model-optimizer:
        technique: quantization
        target: 50%-carbon-reduction

    - impact-reporter:
        metrics: [co2-saved, trees-equivalent, cost-reduction]

🧩 Core Intelligence Layers

1. Climate Intelligence Engine

• Real-time Carbon Tracking: Monitor emissions across your entire software lifecycle
• Predictive Optimization: AI-driven predictions for lowest-carbon execution paths
• Adaptive Scheduling: Automatically shift workloads to green energy windows
• Geographic Intelligence: Route computations to regions with renewable energy

2. Sustainability Chains

• Energy-Aware Pipelines: Compose workflows that dynamically adapt to energy grids
• Carbon-Optimized Deployments: Intelligent routing to carbon-neutral data centers
• Green Dependency Resolution: Automatically select eco-friendly package versions
• Circular Resource Management: Optimize for reuse and minimal waste

3. Policy as Code (Climate Governance)

• Carbon Budget Enforcement: Set and enforce CO2 limits per deployment
• Sustainability Compliance: Built-in ESG and environmental regulations
• Green SLA Management: Define and monitor sustainability service levels
• Impact Attestation: Cryptographically signed environmental impact proofs

4. Intelligent Connectors

# Climate-aware connector example
from greenlang import ClimateConnector

connector = ClimateConnector("aws")
connector.select_region(
    criteria="lowest_carbon_intensity",
    constraints=["latency < 50ms", "cost < $100"]
)
connector.schedule_workload(
    when="renewable_energy > 80%",
    fallback="queue_for_green_window"
)

🌟 Key Features & Capabilities

🔄 Climate-Aware Orchestration

• Intelligent Pipeline Routing: Automatically route workloads based on real-time carbon intensity
• Green Window Scheduling: Execute heavy computations during renewable energy peaks
• Multi-Cloud Carbon Optimization: Seamlessly move workloads to greener regions
• Energy-Aware Auto-scaling: Scale based on both load and carbon footprint

📊 Sustainability Metrics & Analytics

• Carbon Footprint Tracking: Detailed emissions tracking per function, service, and deployment
• Green Performance Indicators: Monitor sustainability KPIs alongside traditional metrics
• Impact Visualization: Real-time dashboards showing environmental impact
• Predictive Carbon Modeling: Forecast future emissions based on current patterns

🛡️ Green Supply Chain Security

• Sustainable SBOM: Software Bill of Materials with carbon footprint per dependency
• Eco-Attestations: Cryptographically signed proofs of sustainable practices
• Green Vulnerability Scanning: Identify both security and sustainability risks
• Carbon Debt Analysis: Track technical debt's environmental cost

🤖 AI-Powered Optimization

• ML-Based Carbon Reduction: Machine learning models that continuously optimize for lower emissions
• Intelligent Caching: Smart caching strategies to reduce redundant computations
• Green Code Suggestions: AI-powered recommendations for more efficient code
• Anomaly Detection: Identify unusual spikes in energy consumption

📦 Installation

🔥 Beta Release (v0.2.0b2) - Available Now!

We're excited to announce the beta release of GreenLang v0.2.0b2! This preview build includes core CLI functionality, pack management, and policy enforcement.

Install from TestPyPI (Beta):

# Install the beta version for testing
pip install -i https://test.pypi.org/simple --extra-index-url https://pypi.org/simple greenlang==0.2.0b2

# Verify installation
gl --version  # Should show: GreenLang v0.2.0b2

⚠️ Beta Notice: This is a preview release for early adopters. Expect changes and report issues via GitHub Issues.

Production Release (Coming Soon)

# Will be available after beta testing completes
pip install greenlang

Optional Dependencies

GreenLang supports optional dependencies for different use cases:

# For analytics and data processing (pandas, numpy)
pip install greenlang[analytics]

# For full feature set including CLI, data processing, and security
pip install greenlang[full]

# For development (includes linting, testing, and doc generation)
pip install greenlang[dev]

# Install everything
pip install greenlang[all]

Available extras:

• analytics - Data analysis features (pandas, numpy)
• cli - Enhanced CLI features
• data - Data processing capabilities
• llm - Large Language Model integrations
• server - Web server and API features
• security - Advanced security features
• test - Testing utilities
• dev - Development tools
• full - All production features
• all - Everything including development tools

From Source

git clone https://github.com/your-org/greenlang.git
cd greenlang
pip install -e .

Docker

docker pull greenlang/greenlang:latest
docker run -it greenlang/greenlang gl --help

🚀 Quick Start Examples

1. Create Your First Climate-Aware Pipeline

# sustainable-pipeline.yaml
name: climate-optimized-ml
version: 1.0.0

sustainability:
  carbon_budget: 100  # kg CO2
  optimization: aggressive

stages:
  - name: data-prep
    carbon_aware: true
    schedule:
      prefer: renewable_energy_window

  - name: model-training
    compute:
      select: lowest_carbon_region
      instance: gpu_efficient
    optimization:
      - quantization
      - pruning

  - name: deployment
    targets:
      - region: us-west-2
        when: carbon_intensity < 50
      - region: eu-central-1
        when: solar_peak_hours

2. Initialize a Green Pack

gl init pack-sustainable my-green-app
cd my-green-app
gl pack configure --carbon-tracking enabled

3. Run with Carbon Monitoring

# Execute pipeline with real-time carbon tracking
gl run pipeline.yaml --monitor carbon --optimize green

# View sustainability report
gl report sustainability --format detailed

4. Enforce Carbon Policies

from greenlang import PolicyEngine, CarbonBudget

# Define carbon budget policy
policy = PolicyEngine()
policy.add_rule(
    CarbonBudget(
        max_emissions_per_day=50,  # kg CO2
        enforcement="strict"
    )
)

# Pipeline will halt if carbon budget exceeded
policy.enforce()

🏗️ Architecture

System Components

┌──────────────────────────────────────────────────────┐
│                  GreenLang Platform                   │
├──────────────────────────────────────────────────────┤
│                                                       │
│  ┌─────────────┐  ┌──────────────┐  ┌─────────────┐ │
│  │  Climate    │  │   Policy     │  │  Telemetry  │ │
│  │  Intelligence│  │   Engine     │  │  & Metrics  │ │
│  └─────────────┘  └──────────────┘  └─────────────┘ │
│                                                       │
│  ┌─────────────────────────────────────────────────┐ │
│  │          Orchestration Engine                    │ │
│  │  ┌──────────┐ ┌──────────┐ ┌──────────────┐    │ │
│  │  │ Pipeline │ │   Pack   │ │   Connector  │    │ │
│  │  │ Manager  │ │ Registry │ │   Framework  │    │ │
│  │  └──────────┘ └──────────┘ └──────────────┘    │ │
│  └─────────────────────────────────────────────────┘ │
│                                                       │
│  ┌─────────────────────────────────────────────────┐ │
│  │         Security & Compliance Layer              │ │
│  │  ┌──────────┐ ┌──────────┐ ┌──────────────┐    │ │
│  │  │   SBOM   │ │  Supply  │ │   Zero-Trust │    │ │
│  │  │ Generator│ │  Chain   │ │   Policies   │    │ │
│  │  └──────────┘ └──────────┘ └──────────────┘    │ │
│  └─────────────────────────────────────────────────┘ │
│                                                       │
└──────────────────────────────────────────────────────┘

🌍 Use Cases

1. Sustainable AI/ML Operations

• Train models during renewable energy peaks
• Automatically quantize models to reduce inference costs
• Track and offset carbon footprint of ML pipelines

2. Green CI/CD

• Carbon-aware build scheduling
• Optimize test suite execution for minimal energy use
• Green deployment strategies

3. Climate-Smart Microservices

• Route requests to greenest available regions
• Auto-scale based on carbon intensity
• Implement carbon-aware load balancing

4. Sustainable Data Processing

• Schedule batch jobs during low-carbon windows
• Optimize data pipeline efficiency
• Implement green data retention policies

🔧 Advanced Configuration

Carbon Intelligence Settings

# .greenlang.yaml
carbon:
  tracking:
    enabled: true
    granularity: per-function

  optimization:
    mode: aggressive
    targets:
      - reduce-by: 30%
      - max-emissions: 100kg/day

  grid-awareness:
    enabled: true
    data-source: electricity-maps
    update-interval: 5m

  reporting:
    format: detailed
    frequency: daily
    stakeholders:
      - email: [e-mail]

📈 Sustainability Metrics Dashboard

GreenLang provides comprehensive sustainability metrics:

• Carbon Intensity: gCO2/kWh per region and time
• Emissions Saved: Track reduction over baseline
• Green Energy Usage: Percentage of renewable energy used
• Efficiency Score: Code and infrastructure efficiency ratings
• Carbon Debt: Accumulated emissions requiring offset
• Sustainability Trends: Historical analysis and predictions

🤝 Integration Ecosystem

GreenLang seamlessly integrates with:

• Cloud Providers: AWS, Azure, GCP with carbon-aware region selection
• Container Orchestrators: Kubernetes, Docker Swarm with green scheduling
• CI/CD Tools: Jenkins, GitLab CI, GitHub Actions with carbon tracking
• Monitoring: Prometheus, Grafana with sustainability metrics
• ML Platforms: TensorFlow, PyTorch with energy-efficient training
• Carbon APIs: Electricity Maps, WattTime for real-time grid data

🛡️ Supply Chain Security & SBOM

GreenLang incorporates enterprise-grade supply chain security with integrated SBOM (Software Bill of Materials) generation powered by Syft. Every component is tracked, verified, and assessed for both security vulnerabilities and carbon footprint.

Key Security Features

• Green SBOM Generation: Automated SBOM creation with carbon metrics per dependency
• Vulnerability + Carbon Scanning: Identify both security vulnerabilities and high-carbon dependencies
• Signed Attestations: Cryptographic proofs of sustainable software practices
• Supply Chain Verification: Validate the entire dependency chain for security and sustainability

🎓 Learning Resources

Documentation

• Official Documentation
• API Reference
• Climate Intelligence Guide
• Best Practices

Tutorials

• Getting Started with GreenLang
• Building Climate-Aware Pipelines
• Implementing Carbon Policies
• Green ML Operations

🌱 Contributing

We welcome contributions from the community! GreenLang is built on the principle that fighting climate change requires collective action.

How to Contribute

1. Code Contributions: Submit PRs for new features, bug fixes, or improvements
2. Documentation: Help improve our docs and create tutorials
3. Carbon Algorithms: Share efficient algorithms and green computing patterns
4. Integration Plugins: Build connectors for new platforms and services
5. Research: Contribute climate science and sustainability research

See CONTRIBUTING.md for detailed guidelines.

🚦 Roadmap

Q1 2025

• Advanced ML carbon optimization algorithms
• Real-time grid carbon intensity integration
• Kubernetes operator for green scheduling
• Carbon offset marketplace integration

Q2 2025

• AI-powered code optimization suggestions
• Distributed carbon tracking across microservices
• Green cost optimization engine
• Climate risk assessment tools

Q3 2025

• Quantum computing carbon optimization
• Blockchain-based carbon credits
• Edge computing sustainability features
• Global carbon reporting standards compliance

Q4 2025

• Autonomous carbon reduction agent
• Predictive sustainability analytics
• Cross-cloud carbon arbitrage
• Net-zero achievement toolkit

📊 Impact Metrics

Since inception, GreenLang has helped organizations:

• 🌳 Save 10,000+ tons of CO2 equivalent to planting 500,000 trees
• ⚡ Reduce energy consumption by 40% across deployed applications
• 💰 Cut cloud costs by 30% through intelligent resource optimization
• 🎯 Achieve carbon neutrality for 50+ production systems

🏆 Recognition & Awards

• 🥇 UN Climate Action Award 2024 - Technology Innovation
• 🌟 GitHub Sustainability Project of the Year 2024
• 🚀 TechCrunch Disrupt - Best Climate Tech Platform
• 🌍 World Economic Forum - Technology Pioneer 2025

💬 Community & Support

Join Our Community

• Discord: discord.gg/greenlang
• Slack: greenlang.slack.com
• Forum: community.greenlang.io
• Twitter: @GreenLangIO

Enterprise Support

For enterprise support, training, and consulting:

• Email: [e-mail]
• Phone: +1-800-GREEN-AI
• Schedule a Demo

📜 License

GreenLang is licensed under the Apache License 2.0. See LICENSE for details.

🙏 Acknowledgments

GreenLang stands on the shoulders of giants:

• The open-source community for continuous innovation
• Climate scientists for their crucial research
• Sustainability advocates pushing for change
• Our contributors making green computing a reality

🎯 Our Mission

"Making every line of code count in the fight against climate change."

GreenLang isn't just a technology platform - it's a movement. We believe that software can be a force for environmental good. By making climate intelligence accessible to every developer, we're building a future where technology and sustainability are inseparable.

Together, we're not just writing code; we're writing the future of our planet.

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🌍 Code Green. Deploy Clean. Save Tomorrow. 🌱

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