This guide provides a comprehensive overview of all NLP2CMD examples, organized by category and complexity.
- Documentation Hub - Entry point for all docs
- User Guide - Complete usage tutorial
- API Reference - Detailed API documentation
- Python API Guide - Programmatic usage
examples/
├── 01_basics/ # Fundamental examples and getting started
│ ├── app2schema/ # AppSpec generation from applications
│ ├── docker_basics/ # Docker command examples
│ └── kubernetes_basics/ # Kubernetes basics
├── 02_benchmarks/ # Performance testing and benchmarking
│ ├── performance_testing/ # Performance measurement tools
│ └── sequential_testing/ # Sequential test execution
├── 03_integrations/ # Integration with external systems
│ ├── pipelines/ # Pipeline integrations
│ ├── toon_format/ # Toon format examples
│ └── validation/ # Validation integrations
├── 04_domain_specific/ # Domain-specific use cases
│ ├── bioinformatics/ # Bioinformatics workflows
│ ├── data_science/ # Data science examples
│ ├── debugging/ # Debugging workflows
│ └── [10 more domains...] # Various specialized domains
├── 05_advanced_features/ # Advanced features and experimental
│ ├── thermodynamic/ # Thermodynamic optimization
│ └── [other features...] # Advanced capabilities
├── 06_desktop_automation/ # Desktop GUI automation
│ ├── 04_browser_tabs/ # Browser tab management
│ ├── 05_email_client/ # Email automation
│ ├── 06_env_extract/ # API key extraction
│ ├── 07_canvas_drawing/ # Canvas drawing automation
│ ├── 08_captcha_solver/ # CAPTCHA solving
│ └── 09_complex_commands/ # Complex command planning
├── 07_browser_automation/ # Browser automation examples
│ └── [browser examples...] # Web automation workflows
├── 08_api_key_management/ # API key management tools
│ └── [key management...] # Secure key handling
├── 09_online_drawing/ # Online drawing automation
│ ├── 01_draw_chat/ # Draw.chat automation
│ ├── 02_picsart/ # Picsart drawing
│ ├── 03_adaptive/ # Adaptive drawing
│ ├── 04_object_database/ # Object database usage
│ ├── 05_autonomous/ # Autonomous drawing
│ ├── 06_visual_validator/ # Visual validation
│ ├── 07_shape_gallery/ # Shape gallery demo
│ └── [more drawing examples...] # Advanced drawing features
├── 10_online_code_editors/ # Online code editor automation
│ ├── 01_codepen_live/ # CodePen automation
│ ├── 02_mycompiler_run/ # MyCompiler.io automation
│ ├── 03_adaptive_code/ # Adaptive code generation
│ ├── 04_jsfiddle_frontend/ # JSFiddle automation
│ └── 05_dynamic_executor/ # Dynamic code execution
├── _dynamic_orchestrator.py # Dynamic orchestrator demo
├── run_examples.sh # Script to run all examples
└── README.md # This file
Location: examples/01_basics/
# AppSpec generation
cd examples/01_basics/app2schema
python appspec_demo.py
# Docker basics
cd examples/01_basics/docker_basics
python docker_demo.py
# Kubernetes basics
cd examples/01_basics/kubernetes_basics
python k8s_demo.pyWhat you'll learn:
- Basic NLP2CMD concepts
- AppSpec file generation
- Docker command generation
- Kubernetes resource management
Location: examples/06_desktop_automation/
# Browser tab management
cd examples/06_desktop_automation/04_browser_tabs
bash run.sh
# Canvas drawing
cd examples/06_desktop_automation/07_canvas_drawing
python canvas_demo.py
# Complex command planning
cd examples/06_desktop_automation/09_complex_commands
python complex_planner.pyWhat you'll learn:
- Desktop GUI automation
- Browser automation
- Canvas drawing techniques
- Complex command planning
Location: examples/09_online_drawing/
# Run all drawing examples
cd examples/09_online_drawing
./run.sh
# Individual examples
./run.sh 01_draw_chat
./run.sh 02_picsart
./run.sh 03_adaptiveWhat you'll learn:
- Web-based drawing automation
- Shape recognition and generation
- Visual validation
- Autonomous drawing workflows
Location: examples/10_online_code_editors/
# CodePen automation
cd examples/10_online_code_editors/01_codepen_live
python run.py
# Dynamic code execution
cd examples/10_online_code_editors/05_dynamic_executor
python run.py --prompt "Write fibonacci in python"What you'll learn:
- Online code editor automation
- Dynamic code generation
- Code injection techniques
- Output validation
File: examples/_dynamic_orchestrator.py
python examples/_dynamic_orchestrator.py --prompt "Create a dashboard with charts"What you'll learn:
- LLM-driven orchestration
- Multi-step task planning
- Error recovery and repair
- Dynamic code generation
Lightweight examples: examples/02_benchmarks/
Canonical benchmark suite: benchmarks/
# Run lightweight performance examples
python3 examples/02_benchmarks/performance_testing/benchmark.py
# Sequential testing
python3 examples/02_benchmarks/sequential_testing/benchmark.py
# Run canonical benchmark scripts
PYTHONPATH=src python3 benchmarks/llm_benchmark.py
PYTHONPATH=src python3 benchmarks/learning_benchmark.py
PYTHONPATH=src python3 benchmarks/thermodynamic_benchmark.pyLocation: examples/04_domain_specific/
Available domains:
- Bioinformatics - DNA sequence analysis, protein folding
- Data Science - Data processing, ML pipelines
- Debugging - Code debugging workflows
- Finance - Trading algorithms, risk analysis
- Healthcare - Medical data processing
- Smart Cities - Urban management systems
- And many more...
- Install NLP2CMD:
pip install nlp2cmd- Configure environment:
export NLP2CMD_MODEL="ollama/qwen2.5:7b"
export NLP2CMD_API_BASE="http://localhost:11434"# Navigate to example directory
cd examples/[category]/[specific_example]
# Run the example
python example.py
# Or use the run script
./run.sh# Run all examples with the master script
cd examples
./run_examples.sh
# Run specific category
./run_examples.sh --category 09_online_drawing
# Run with specific options
./run_examples.sh --headless --verboseMost examples support configuration via:
- Command line arguments:
python example.py --model gpt-4 --headless --verbose- Environment variables:
export NLP2CMD_MODEL="gpt-4"
export NLP2CMD_HEADLESS="true"
export NLP2CMD_VERBOSE="true"- Configuration files:
# config.yaml
model: "gpt-4"
headless: true
verbose: true
timeout: 30000Fundamental examples for beginners. Learn the core concepts of NLP2CMD.
Performance measurement and testing tools. Evaluate system performance.
Integration examples with external systems and APIs.
Specialized examples for specific domains and industries.
Advanced and experimental features. Cutting-edge capabilities.
Desktop GUI automation examples. Automate desktop applications.
Browser automation examples. Web scraping and automation.
Tools for managing API keys and credentials securely.
Online drawing automation. Create art on web-based drawing tools.
Online code editor automation. Write and execute code in web editors.
- Model not available:
# Pull the model
ollama pull qwen2.5:7b- Permission denied:
# Make scripts executable
chmod +x examples/**/*.sh- Missing dependencies:
# Install additional dependencies
pip install playwright
playwright install chromium- Check individual example READMEs
- Review the main documentation
- Open an issue on GitHub
- Start with basics in
01_basics/ - Explore your domain in
04_domain_specific/ - Try advanced features in
05_advanced_features/ - Build your own examples using the patterns shown
- Architecture Guide - System architecture
- Thermodynamic Integration - Advanced optimization
- Contributing Guide - Development guidelines