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Copilot AI commented Oct 2, 2025

Overview

This PR implements a complete benchmark automation framework for PromptCompEval, providing Makefile boilerplate and scripts to easily run benchmarks for different prompt compilation techniques such as byLLM.

What's New

🛠️ Makefile Automation

Added a comprehensive Makefile with 15+ commands for common tasks:

  • Setup: make setup, make install, make install-dev
  • Testing: make test, make coverage
  • Benchmarking: make benchmark, make benchmark-fast, make benchmark-full, make benchmark-compare
  • Code Quality: make lint, make format, make type-check
  • Utilities: make clean, make results

Run make help to see all available commands.

📊 Benchmark Scripts

  • run_benchmarks.py: Main benchmark runner with CLI arguments for quick, standard, or full benchmark suites
  • compare_techniques.py: Automated comparison tool that analyzes and displays results across different techniques
  • setup.sh: One-command environment setup script

🔧 Core Framework

Built a modular evaluation framework in src/promptcompeval/ with:

  • Evaluator: Core evaluation logic for running benchmarks
  • Techniques: Four prompt compilation implementations:
    • OriginalTechnique - Baseline without compilation
    • ByLLMTechnique - LLM-based prompt compilation
    • OptimizedTechnique - Hand-optimized prompts
    • CompressedTechnique - Token-compressed prompts

📋 Configuration & Data

  • YAML configuration template in benchmarks/configs/default.yaml
  • Sample dataset with 5 task categories (translation, summarization, entity extraction, sentiment analysis, QA)
  • Proper directory structure with .gitkeep files and .gitignore rules

✅ Testing

  • Unit tests for all techniques (9 tests, all passing)
  • Pytest configuration in pyproject.toml
  • Coverage support via make coverage

📚 Documentation

  • README.md: Comprehensive documentation with usage instructions, project structure, and examples
  • QUICKSTART.md: Quick reference guide for getting started
  • CONTRIBUTING.md: Developer guidelines for contributing
  • LICENSE: MIT License
  • Example code: examples/basic_usage.py demonstrating framework usage

📦 Packaging

  • requirements.txt with all necessary dependencies
  • setup.py and pyproject.toml for package installation
  • Proper Python project structure following best practices

Quick Start

# Setup environment
make setup
source venv/bin/activate

# Run benchmarks
make benchmark-fast

# Compare techniques
make benchmark-compare

# View results
make results

Example Output

============================================================
BENCHMARK SUMMARY
============================================================

original:
  Benchmarks run: 2
  Average accuracy: 85.50%
  Average latency: 245.00ms
  Total cost: $0.0024

byLLM:
  Benchmarks run: 2
  Average accuracy: 88.25%
  Average latency: 312.00ms
  Total cost: $0.0031
...

Project Structure

PromptCompEval/
├── Makefile              # All automation commands
├── requirements.txt      # Python dependencies
├── src/promptcompeval/   # Core framework
├── tests/                # Unit tests
├── benchmarks/
│   ├── configs/          # Configurations
│   ├── data/             # Datasets
│   └── results/          # Results (auto-generated)
├── scripts/              # Automation scripts
├── examples/             # Usage examples
└── docs/                 # Documentation files

Benefits

  • Easy to use: Single command to run benchmarks (make benchmark)
  • Extensible: Modular design makes it easy to add new techniques and datasets
  • Well-documented: Comprehensive guides for users and contributors
  • Tested: Full test coverage with pytest
  • Professional: Follows Python packaging best practices

This framework provides everything needed to evaluate and compare different prompt compilation techniques in a systematic, reproducible way.

Original prompt

This is a project where we use real prompt engineered applications, convert them to different prompt compilation techniques such as byLLM, and evaluate different metrics. This project is a evaluation framework, so grate to have a makefile boiler plate or scripts in place to just run these benchmarks


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Copilot AI changed the title This is a project where we use real prompt engineered applications, convert them to different prompt compilation techniques such as byLLM, and evaluate different metrics. This project is a evaluation framework, so grate to have a makefile boiler plate ... Add Makefile and benchmark automation framework for PromptCompEval Oct 2, 2025
Copilot AI requested a review from Jayanaka-98 October 2, 2025 05:48
Copilot finished work on behalf of Jayanaka-98 October 2, 2025 05:48
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3 participants