🕳️ PIT (Prompt Information Tracker)

Git for Prompts — Version control that actually understands your LLM prompts

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🚀 What is PIT?

PIT is a semantic version control system designed specifically for managing LLM prompts. Unlike traditional Git workflows, PIT understands the meaning of your prompts—tracking not just what changed, but why it matters for your AI's behavior.

Stop treating prompts like plain text files. Start versioning them like the critical assets they are.

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✨ Features

📝 Core Version Control

Feature	Description
Semantic Versioning	Track prompt changes with meaningful version numbers
Automatic Variable Detection	Extracts Jinja2 template variables ({{variable}}) on commit
Rich Diff Visualization	Compare versions with syntax highlighting
Tagging System	Mark important versions (production, stable, experimental)
Instant Checkout	Switch between prompt versions instantly
Query Language	Search: success_rate >= 0.9, content contains 'be concise'

🤝 Collaboration & Sharing

Feature	Description
Shareable Patches	Export/import prompt changes as .promptpatch files
Prompt Bundles	Package and share prompts with dependencies
Time-Travel Replay	Test same input across all versions
Git-Style Hooks	Validation and automation (pre-commit, post-checkout)
External Dependencies	Depend on prompts from GitHub, local paths, or URLs

📊 Advanced Analytics

Feature	Description
A/B Testing	Statistically significant comparisons with scipy-powered t-tests
Performance Tracking	Monitor tokens, latency, success rates, costs per version
Regression Testing	Automated test suites to catch prompt degradations
Analytics Dashboard	Rich terminal charts and HTML reports
Binary Search (Bisect)	Find which version broke behavior
Worktrees	Multiple prompt contexts without switching
Stash	Save WIP with full context

🔒 Security & Quality

Feature	Description
Security Scanner	OWASP LLM Top 10 compliance checking
Prompt Injection Detection	Catch malicious input patterns
PII/API Key Detection	Prevent data leakage
Auto-Optimizer	AI-powered prompt improvement suggestions
Semantic Merge	Categorize changes and detect conflicts

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📸 Screenshots

🎯 Interactive Menu

📝 Version Control

🔍 Rich Diff Visualization

📊 Analytics Dashboard

🌐 Streamlit Web Dashboard

PIT now includes a beautiful web-based dashboard for visualizing prompt data:

# Launch the Streamlit dashboard
streamlit run pit-dashboard.py

Features:

• 📈 Visual Timeline — Track version metrics over time
• 🔍 Side-by-Side Diff — Compare prompt versions
• 📊 Metrics Dashboard — Success rate, latency charts
• 🧪 Interactive Replay — Test inputs across versions
• 🔬 A/B Test Results — View experiment results

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🚀 Quick Start

Installation

pip install prompt-pit

Or with optional LLM provider support:

# With Anthropic Claude support
pip install prompt-pit[anthropic]

# With OpenAI support  
pip install prompt-pit[openai]

# With everything
pip install prompt-pit[all]

Initialize a Project

# Create a new prompt repository
mkdir my-prompts
cd my-prompts
pit init

Add Your First Prompt

# Add a prompt file
pit add system-prompt.md --name "customer-support" \
  --description "AI assistant for customer support"

Version Control

# Commit a new version
pit commit customer-support --message "Added empathy guidelines"

# View version history
pit log customer-support

# Compare versions
pit diff customer-support --v1 1 --v2 2

# Checkout a specific version
pit checkout customer-support --version 1

# Tag a version
pit tag customer-support --version 2 --tag production

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📚 Command Reference

Core Commands

pit init                    # Initialize a new PIT project
pit add <file>              # Add a prompt to track
pit list                    # List all tracked prompts
pit commit <prompt>         # Save a new version
pit log <prompt>            # View version history
pit diff <prompt>           # Compare versions
pit checkout <prompt>       # Switch to a version
pit tag <prompt>            # Manage tags

Advanced Features

# Patches
pit patch create <prompt> v1 v2 --output fix.patch
pit patch apply fix.patch --to <prompt>

# Hooks
pit hooks install pre-commit
pit hooks run pre-commit --prompt <prompt>

# Bundles
pit bundle create my-bundle --prompts "p1,p2" --with-history
pit bundle install my-bundle.bundle

# Replay
pit replay run <prompt> --input "Hello" --versions 1-5
pit replay compare <prompt> --input "Hello" --versions 1,3,5

# Dependencies
pit deps add shared github org/repo/prompts --version v1.0
pit deps install

# Worktrees
pit worktree add ./feature-wt <prompt>@v2

# Stash
pit stash save "WIP: improving tone"
pit stash pop 0

# Bisect
pit bisect start --prompt <prompt> --failing-input "bad query"
pit bisect good v1
pit bisect bad v5

# Testing
pit test create-suite --name "support-tests"
pit test add-case support-tests --name "greeting"
pit test run <prompt> --suite support-tests

# A/B Testing
pit ab-test <prompt> --variant-a 2 --variant-b 3 --sample-size 100

# Security
pit scan <prompt>
pit validate <prompt> --fail-on high

# Optimization
pit optimize analyze <prompt>
pit optimize improve <prompt> --strategy detailed

# Analytics
pit stats show <prompt>
pit stats report <prompt> --output report.html

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📁 Project Structure

my-prompts/
├── .pit/                   # PIT database and config
│   ├── config.yaml         # Project configuration
│   └── pit.db              # SQLite database
├── prompts/                # Your prompt files
│   └── customer-support.md
└── .pit.yaml              # Optional: global config

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⚙️ Configuration

Create .pit.yaml in your project root:

# LLM Provider Configuration
llm:
  provider: anthropic      # anthropic, openai, ollama
  api_key: ${ANTHROPIC_API_KEY}
  model: claude-3-sonnet-20240229

# Default settings
defaults:
  auto_commit: false
  require_tests: true

# Security policies
security:
  max_severity: medium     # fail on medium+ severity issues

# Performance thresholds
performance:
  max_latency_ms: 2000
  min_success_rate: 0.95

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📊 PIT vs Git

Feature	Git	PIT
Line-by-line diff	✅	✅
Semantic understanding	❌	✅
Variable tracking	❌	✅
Performance metrics	❌	✅
A/B testing	❌	✅
Security scanning	❌	✅
Prompt optimization	❌	✅
Shareable patches	❌	✅
Git-style hooks	❌	✅
Query language	❌	✅
Time-travel replay	❌	✅
Bundle packaging	❌	✅
External dependencies	❌	✅
LLM framework integration	❌	✅

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🧪 Testing

# Run all tests
pytest

# With coverage
pytest --cov=pit

# Run specific test file
pytest tests/test_core/test_security.py -v

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🤝 Contributing

We welcome contributions! Please see our Contributing Guide for details.

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📝 License

PIT is released under the MIT License. See LICENSE for details.

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🙏 Acknowledgments

• Built with Typer for CLI magic
• Powered by Rich for beautiful terminal output
• Inspired by the need for better prompt management in production LLM systems

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📬 Support

• 📧 Issues: GitHub Issues
• 💬 Discussions: GitHub Discussions

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Made with ❤️ for the LLM community

_{Where prompts go to evolve 🌱}