pi-ultra-compact

Advanced compaction extension and skill for Pi with automatic threshold-based compaction and support for 200+ models.

Features

• /ultracompact command for manual compaction
• Auto-adapts threshold to model's context window (80% of max)
• 200+ models supported - OpenAI, Anthropic, Google, DeepSeek, Meta, Mistral, Qwen, and more
• Hierarchical summarization with entropy-based information extraction
• Critical context preservation - goals, decisions, errors, file paths
• Extension + Skill - works as both a Pi extension and a skill

Installation

pi install npm:pi-ultra-compact

Quick Start

After installation and restarting Pi, use:

/ultracompact

This triggers manual ultra-compact compaction.

Auto-compaction triggers automatically when context exceeds 80% of your model's context window.

Supported Models

Provider	Models	Context Window
OpenAI	GPT-5/5.1/5.2, GPT-4.1, GPT-4o, O3, O4-mini	8K - 1M tokens
Anthropic	Claude 4.5/4.0/3.7/3.5/3	200K tokens
Google	Gemini 2.5/2.0/1.5, Gemma 3/2	32K - 2M tokens
DeepSeek	V4 Pro, V3, V2.5, R1	64K - 1M tokens
Meta	Llama 4, 3.3, 3.1, 3, 2	4K - 1M tokens
Mistral	Medium 3.5, Large 3, Small 4, Codestral	32K - 256K tokens
Qwen	Qwen3, Qwen2.5, Qwen2	32K - 128K tokens
Microsoft	Phi-4, Phi-3, Phi-2	2K - 32K tokens
xAI	Grok 3, Grok 2	8K - 131K tokens
Cohere	Command R+	128K tokens
Yi	Yi-1.5, Yi-34B	4K - 200K tokens

How It Works

1. Auto-detection: Extension detects your model from Pi configuration
2. Threshold calculation: Sets compaction threshold at 80% of model's context window
3. Critical extraction: Identifies important information (goals, decisions, errors)
4. Compression: Generates compact summary preserving critical context
5. File tracking: Maintains read/modified file history across compactions

Configuration

Default settings work out of the box. The extension auto-detects your model and sets appropriate thresholds.

Default Settings

Setting	Default	Description
thresholdTokens	Auto (80% of context)	When to trigger compaction
keepPercentage	30%	Percentage of context to keep
maxKeepTokens	30,000	Maximum tokens to keep
autoCompact	true	Enable automatic compaction

Commands

Command	Description
/ultracompact	Trigger manual ultra-compact compaction

Model Examples

# Works with any model - threshold auto-adapts
# Claude Opus: 160,000 tokens (80% of 200K)
# GPT-5: 320,000 tokens (80% of 400K)
# Gemini 2.5 Pro: 800,000 tokens (80% of 1M)
# DeepSeek V4 Pro: 800,000 tokens (80% of 1M)

Compatibility

• Works with any Pi-compatible model
• Compatible with gentle-engram (Engram memory backup)
• Compatible with gentle-pi (SDD/OpenSpec)
• No conflicts with Pi's default compaction

Changelog

See CHANGELOG.md for full version history.

v0.5.0 — Audit & Stability Release

This release fixes 18 issues found via comprehensive 5-agent audit:

• 3 Critical regex bugs fixed — \b word boundaries on all patterns, no more false matches
• Startup model detection fixed — correct threshold from boot
• Custom thresholds preserved — across model switches
• Null safety — guards on all message-consuming methods
• 53-test Jest suite — comprehensive coverage
• Dead code removed — 329-line .disabled file deleted, unused typebox dep removed

Troubleshooting

Extension not loading

• Restart Pi after installation
• Check pi install npm:pi-ultra-compact completed successfully

Wrong threshold detected

• The extension auto-detects your model from Pi config
• Ensure your model is in the supported list (200+ models)
• Run /ultracompact manually to see detected model and threshold in the logs

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'feat: add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Pi - The AI coding agent