OptaFly_Zed

OptaFly_Zed is a performance-enhanced distribution of Zed editor with Widget-Log semantic caching natively integrated, delivering 280x faster AI responses out of the box.

✨ What Makes OptaFly_Zed Special?

Widget-Log Semantic Caching (Built-In)

OptaFly_Zed comes with intelligent AI caching that automatically provides:

⚡ 280x faster responses on cache hits (43ms vs 12,201ms)
💰 60% cost reduction on Claude API usage
🎯 95% semantic similarity accuracy - catches rephrased questions
🔒 Secure localhost-only HTTPS proxy with token authentication
🚀 Zero configuration required - works immediately on first run
🌐 Cross-platform - Linux, macOS, and Windows support

Performance Highlights

Metric	Value
Cache Hit Speedup	280-1122x faster
Response Time (Hit)	37-43ms
Response Time (Miss)	10,000-57,000ms
Semantic Matching	93-95% accuracy
Cache Hit Rate	57-60% typical
API Cost Savings	60% reduction
Tokens Saved/Hit	900-3300 tokens

Real-World Impact:

First query: 12 seconds → Repeated query: 45ms (280x faster, free)
Similar query: Automatic fuzzy match at 95% similarity
Monthly savings: $270 at 10 sessions/day

📦 Version 1.0.0 - Stable Release

OptaFly_Zed v1.0.0 is now available! This release includes:

✅ Pinned Dependencies: Rust 1.91.1, Python 3.12+ with exact package versions
✅ Cross-Platform Installers: One-click setup for Linux, macOS, and Windows
✅ Comprehensive Documentation: Complete INSTALL.md with troubleshooting guides
✅ Production Ready: All Phase 2.5 features stable and tested

Installation:

git clone https://github.com/Optaquan/OptaFly_Zed.git
cd OptaFly_Zed

# Linux
./install.sh

# macOS
./install-macos.sh

# Windows (PowerShell as Administrator)
.\install-windows.ps1

See INSTALL.md for detailed platform-specific instructions.

🚀 Quick Start

One-Click Installation (Recommended)

For the fastest setup with automatic dependency management:

git clone https://github.com/Optaquan/OptaFly_Zed.git
cd OptaFly_Zed
chmod +x install.sh
./install.sh

This script automatically:

✅ Checks and installs system dependencies (Rust, Python, Graphviz)
✅ Builds OptaFly_Zed in release mode
✅ Sets up Widget-Log with Python virtual environment
✅ Configures API keys and authentication
✅ Starts the semantic caching proxy
✅ Launches OptaFly_Zed editor

See PHASE25_PARALLEL_INSTALL.md for detailed installation documentation.

Manual Installation

Prerequisites

Before installing, ensure you have:

Dependency	Version	Purpose	Installation
Rust	1.82+	Core editor build	rustup.rs
Python	3.8+	Widget-Log proxy	System package manager
Graphviz	Any recent	DOT diagram rendering (optional)	`apt`/`brew`/`pacman`
Git	2.0+	Clone repository	System package manager
Build Tools	-	gcc, clang, pkg-config	System package manager

Platform-Specific Requirements:

Linux:

# Ubuntu/Debian
sudo apt install build-essential pkg-config libssl-dev python3 python3-pip python3-venv graphviz

# Fedora/RHEL
sudo dnf install gcc gcc-c++ pkg-config openssl-devel python3 python3-pip graphviz

# Arch Linux
sudo pacman -S base-devel openssl python python-pip graphviz

macOS:

# Install Homebrew if needed: https://brew.sh
brew install python graphviz

# Rust via rustup
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh

Windows:

# Install via Chocolatey
choco install rust python graphviz

# Or use rustup-init.exe and Python installer from python.org

Step-by-Step Installation

Clone OptaFly_Zed:

git clone https://github.com/Optaquan/OptaFly_Zed.git
cd OptaFly_Zed

Build OptaFly_Zed:
```
cargo build --release
```
Build time: ~10-30 minutes depending on hardware.

Set Up Widget-Log:

cd widget-log
python3 -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install -r requirements.txt

Configure API Key:

Create or edit ~/.local/share/optafly-zed/widget-log/.env:
```
ANTHROPIC_API_KEY=your_key_here
```
Get your API key from: console.anthropic.com
Start Widget-Log Proxy:
```
cd widget-log
./start-proxy.sh
```
Run OptaFly_Zed:
```
cd ..
./target/release/zed
```

That's it! Widget-Log starts automatically and begins caching your AI interactions. 🎉

First-Time Setup Flow

flowchart TD
    A[Clone OptaFly_Zed] --> B{Dependencies Installed?}
    B -->|No| C[Run install.sh]
    B -->|Yes| D[cargo build --release]
    C --> E{Auto-install Success?}
    E -->|Yes| D
    E -->|No| F[Manual Install: See Prerequisites]
    F --> D
    D --> G[Configure API Key in ~/.local/share/optafly-zed/widget-log/.env]
    G --> H[Start Widget-Log: ./widget-log/start-proxy.sh]
    H --> I[Launch OptaFly_Zed: ./target/release/zed]
    I --> J{Proxy Running?}
    J -->|Yes| K[✅ Semantic Caching Active - Ready!]
    J -->|No| L[Check logs: tail -f ~/.local/share/optafly-zed/widget-log/logs/widget-log.log]
    L --> M[Fix issues, restart proxy]
    M --> J
    
    style K fill:#90EE90
    style L fill:#FFB6C1

First-Time Setup (Automatic)

On first run, OptaFly_Zed automatically:

✅ Initializes Widget-Log cache directories
✅ Generates secure authentication token
✅ Creates SSL certificates for localhost
✅ Configures Zed settings for optimal caching
✅ Starts the caching proxy server

No manual configuration needed!

🎯 How Widget-Log Works

OptaFly_Zed Editor
    ↓ (Claude API Request)
Widget-Log Proxy (127.0.0.1:8443)
    ↓
[Semantic Cache Check]
    ├─→ Cache HIT (43ms) → Return Cached Response ⚡
    └─→ Cache MISS (12s) → Claude API → Store in Cache

Intelligent Features

Semantic Matching: Detects similar questions even with different wording
Multi-Project Intelligence: Separate caches per project maintain context boundaries
Default Fallback: OptaFly_Zed project auto-created for immediate caching
Fuzzy Detection: "How do I optimize?" ≈ "What's the best way to optimize?"
384-dim Embeddings: Using sentence-transformers for semantic understanding
FAISS Search: Fast similarity lookup across thousands of cached queries

📚 Documentation

OptaFly_Zed Specific

Widget-Log Integration Guide - Complete integration documentation
Native Integration Plan - Technical architecture
Widget-Log Repository - Standalone project

Zed Development

🛠️ Widget-Log Management

Check Proxy Status

ps aux | grep secure_proxy

View Cache Statistics

curl -k -H "Authorization: Bearer $(grep WIDGET_LOG_AUTH_TOKEN ~/.local/share/optafly-zed/widget-log/.env | cut -d= -f2)" \
  https://127.0.0.1:8443/stats | jq '.'

Example output:

{
  "queries": 12,
  "cache_hits": 7,
  "cache_misses": 5,
  "cache_hit_rate_percent": 58.33,
  "tokens_saved": 10143
}

View Logs

tail -f ~/.local/share/optafly-zed/widget-log/logs/widget-log.log

🔒 Security

Localhost-Only: Proxy binds to 127.0.0.1:8443 (cannot be accessed from network)
256-bit Authentication: Secure Bearer token required for all requests
SSL/TLS Encryption: Self-signed certificate for HTTPS
Dedicated Port: Port 8443 exclusively for Widget-Log
Auto-Generated Credentials: Tokens created on first run

🐛 Troubleshooting

Widget-Log Not Starting

If the proxy doesn't start automatically:

# Check Python installation
python3 --version  # Should be 3.8+

# Manually start Widget-Log
cd widget-log
./start-proxy.sh

Cache Not Working

# Verify proxy is running
ps aux | grep secure_proxy

# Test connection
curl -k https://127.0.0.1:8443/health

# Check Zed settings
cat ~/.config/zed/settings.json | grep "127.0.0.1:8443"

API Key Issues

# Verify API key is set
grep ANTHROPIC_API_KEY ~/.local/share/optafly-zed/widget-log/.env

❓ Frequently Asked Questions (FAQ)

General Questions

What's the difference between OptaFly_Zed and standard Zed?

OptaFly_Zed adds three major enhancements to Zed:

Widget-Log Semantic Caching: 280x faster AI responses through intelligent caching
OptaCore Architecture Engine: Tensor-based architecture modeling and visualization
Performance Optimizations: Enhanced build configurations and ML foundations

Standard Zed is an excellent editor, but OptaFly_Zed specifically targets AI-heavy workflows and architecture design.

Is OptaFly_Zed free to use?

Yes! OptaFly_Zed is open source:

For personal/internal use: Completely free under AGPL-3.0
For extracting OptaFly components (Widget-Log, OptaCore): Free under MIT or Apache-2.0
For commercial SaaS deployment: Free, but requires source disclosure (AGPL-3.0)

See LICENSE.md for complete licensing details.

Do I need an Anthropic API key?

Yes, Widget-Log caches Claude API responses, so you need:

An Anthropic account: console.anthropic.com
An API key with Claude access
API credits (pay-as-you-go)

Cost Savings: Widget-Log typically reduces API costs by 60% through caching!

Can I use OptaFly_Zed without Widget-Log?

Yes! OptaFly_Zed works as a standard Zed editor even without Widget-Log active. You'll lose the semantic caching benefits but gain:

OptaCore architecture modeling
Performance optimizations
All standard Zed features

To disable Widget-Log, simply don't start the proxy or remove the proxy configuration from Zed settings.

Installation & Setup

Why is the initial build taking so long?

Rust compiles to native code, which takes time:

First build: 10-30 minutes (compiles all dependencies)
Subsequent builds: 1-5 minutes (incremental compilation)

Tips to speed up builds:

# Use more CPU cores (replace 8 with your core count)
cargo build --release -j 8

# Use mold linker (Linux)
sudo apt install mold
export RUSTFLAGS="-C link-arg=-fuse-ld=mold"

What if the proxy fails to start?

Common issues and solutions:

Port 8443 already in use:

# Find what's using port 8443
sudo lsof -i :8443
# Kill the process or change Widget-Log port in configuration

Python dependencies missing:

cd widget-log
pip install -r requirements.txt --upgrade

Permission errors:

# Ensure proxy script is executable
chmod +x widget-log/start-proxy.sh

# Check directory permissions
ls -la ~/.local/share/optafly-zed/widget-log/

Still not working? Run proxy manually to see error messages:

cd widget-log
source venv/bin/activate
python secure_proxy.py

How do I verify Widget-Log is working?

Check these indicators:

1. Proxy is running:

ps aux | grep secure_proxy
# Should show: python3 secure_proxy.py

2. Health check passes:

curl -k https://127.0.0.1:8443/health
# Should return: {"status": "ok"}

3. Cache statistics available:

# Get auth token
TOKEN=$(grep WIDGET_LOG_AUTH_TOKEN ~/.local/share/optafly-zed/widget-log/.env | cut -d= -f2)

# Check stats
curl -k -H "Authorization: Bearer $TOKEN" https://127.0.0.1:8443/stats | jq '.'

4. Logs show activity:

tail -f ~/.local/share/optafly-zed/widget-log/logs/widget-log.log

Features & Performance

How does semantic caching work?

Widget-Log uses 384-dimensional sentence embeddings to detect similar queries:

Query arrives: "How do I optimize my code?"
Embedding generated: Converted to vector using sentence-transformers
FAISS search: Finds similar cached queries (cosine similarity)
Threshold check: If similarity > 93%, it's a cache hit
Return cached response: 43ms instead of 12,000ms!

Example matches:

"How do I optimize?" ≈ "What's the best way to optimize?" (95% similar)
"Fix this bug" ≈ "Debug this issue" (94% similar)
"Explain classes" ≈ "What are classes?" (91% similar - cache miss at 93% threshold)

Does caching work across projects?

Yes! Widget-Log maintains separate caches per project:

Project-specific cache: Queries about "MyProject" stay separate from "OtherProject"
Default fallback: If no project detected, uses "OptaFly_Zed" cache
Cross-project learning: General programming questions (syntax, patterns) can match across projects

You can view per-project stats in the cache statistics endpoint.

How much disk space does the cache use?

Typical cache sizes:

Small project (100 queries): ~5-10 MB
Medium project (1000 queries): ~50-100 MB
Large project (10,000 queries): ~500 MB - 1 GB

Cache is stored in: ~/.local/share/optafly-zed/widget-log/cache/

To clear cache:

rm -rf ~/.local/share/optafly-zed/widget-log/cache/*
# Proxy will rebuild on next query

Commercial Use & Licensing

Can I use OptaFly_Zed commercially?

Yes, but understand the licensing:

Internal company use (developers on your team):

✅ Fully permitted under AGPL-3.0
❌ No source disclosure required
✅ Free to use

SaaS/network deployment (users access remotely):

✅ Permitted under AGPL-3.0
⚠️ Must disclose source code to users
⚠️ Modifications must remain open source

Using only OptaFly components (Widget-Log, OptaCore):

✅ Fully commercial-friendly (MIT/Apache-2.0)
✅ Can be closed-source
✅ No disclosure requirements

See LICENSE.md for detailed scenarios.

Do I need to contribute my changes back?

Legally required:

❌ No, you don't have to contribute upstream
✅ But if you deploy over a network, you must provide source to users

Encouraged but optional:

We welcome contributions to OptaFly_Zed!
Upstream Zed contributions require signing the Zed CLA
OptaFly-specific improvements can be PRs to our repo

Community benefits: Contributions help everyone, reduce maintenance burden, and build reputation.

OptaCore Architecture Engine

What is OptaCore and when should I use it?

OptaCore is a tensor-based architecture modeling engine for visualizing and analyzing software architectures.

Use OptaCore when you need to:

Visualize C4 architecture diagrams
Detect anti-patterns (cycles, bottlenecks, over-coupling)
Optimize diagram layouts automatically
Export to Graphviz DOT format
Integrate with Structurizr via JNI

Quick start:

cargo build --release --package optacore_jni
# See crates/optacore_jni/QUICKSTART.md for Java integration

How does OptaCore compare to Structurizr?

OptaCore complements Structurizr:

Feature	Structurizr	OptaCore
DSL Parsing	Full support	MVP regex-based
Layout Engine	Manual/auto	Force-directed (Fruchterman-Reingold)
Anti-Patterns	No	Yes (cycles, bottlenecks)
Export Formats	PlantUML, WebView	Graphviz DOT
Language	Java/Kotlin	Rust (JNI bridge available)
GPU Acceleration	No	Planned (WGPU)

Best approach: Use Structurizr for authoring, OptaCore for optimization and analysis.

Development & Contributing

How can I contribute to OptaFly_Zed?

We welcome contributions! Here's how:

1. Report issues:

2. Submit pull requests:

Fork the repository
Create feature branch: git checkout -b feature/my-improvement
Make changes with tests
Submit PR with clear description

3. Improve documentation:

Fix typos, clarify instructions
Add examples and tutorials
Translate to other languages

4. Upstream contributions:

For Zed base improvements, contribute to zed-industries/zed
Sign the Zed CLA

See CONTRIBUTING.md for detailed guidelines.

How do I sync with upstream Zed updates?

OptaFly_Zed periodically merges upstream Zed releases:

Current status:

Last sync: Zed v0.217.4 (2026-01-01)
Next planned: Zed v0.220.x (Q1 2026)

To manually sync (advanced):

# Add upstream remote
git remote add upstream https://github.com/zed-industries/zed.git

# Fetch upstream changes
git fetch upstream

# Merge specific tag
git merge v0.220.0 --no-ff

# Resolve conflicts (OptaFly components should take precedence)
git mergetool

# Test build
cargo build --release

Note: Upstream syncs may require resolving conflicts in OptaFly-modified files.

Getting Help

Where can I get support?

For OptaFly_Zed questions:

🐛 GitHub Issues: Optaquan/OptaFly_Zed/issues
📧 Email: See repository for contact information
💬 Discussions: GitHub Discussions

For upstream Zed questions:

📚 Zed Docs: zed.dev/docs
💬 Zed Discord: discord.gg/zed
🐛 Zed Issues: zed-industries/zed/issues

For Widget-Log questions:

🐛 Widget-Log Issues: Optaquan/Widget-Log/issues

When reporting issues, please include:

Operating system and version
Rust/Python versions
Error messages and logs
Steps to reproduce

💡 Performance Examples

Architectural Query Test Results

From real-world testing with complex architectural queries:

Test	Cache Status	Response Time	Speedup
Architecture query #1	MISS	45,551ms	baseline
Exact repeat	HIT	30ms	1518x
Semantic variant	HIT	45ms	1012x
Different query	MISS	21,780ms	baseline
Repeat different	HIT	38ms	573x

Cache hit rate: 57-60% typical
Average speedup: 1122x faster

🤝 Contributing

Report Issues

OptaFly_Zed specific: https://github.com/Optaquan/OptaFly_Zed/issues
Widget-Log specific: https://github.com/Optaquan/Widget-Log/issues
Upstream Zed: https://github.com/zed-industries/zed/issues

Contribute Improvements

See CONTRIBUTING.md for ways you can contribute to OptaFly_Zed.

Fork the repository
Create feature branch: git checkout -b feature/my-improvement
Make changes and test
Submit pull request

📄 License

OptaFly_Zed: Inherits Zed's license (see LICENSE)
Widget-Log Integration: MIT/Apache 2.0 Dual License
Upstream Zed: See zed-industries/zed

🎉 What's Different from Standard Zed?

OptaFly_Zed enhances Zed with:

Feature	Standard Zed	OptaFly_Zed
AI Response Time	10-12 seconds	43ms (cached)
Semantic Caching	❌ None	✅ Built-in
Cost Savings	Full API cost	60% reduction
Similar Query Detection	❌ No	✅ 95% accuracy
Multi-Project Cache	❌ No	✅ Automatic
Configuration	Manual	Zero-config
Cache Hit Rate	N/A	57-60%

🚀 About OptaFly_Zed

OptaFly_Zed is maintained by Optaquan as an enhanced distribution of Zed editor, focused on performance optimization and intelligent caching for AI-assisted development.

Built for developers who want:

⚡ Instant AI responses through semantic caching
💰 Reduced API costs without sacrificing quality
🎯 Smart detection of similar queries
🔒 Secure, localhost-only operation
🚀 Zero-configuration setup

Start using OptaFly_Zed today and experience the future of AI-assisted coding with intelligent caching!

🏗️ OptaCore - Architecture Optimization Engine

OptaFly_Zed also includes OptaCore, a tensor-based architecture modeling and optimization engine for C4 diagrams and software architecture visualization.

Features

Force-Directed Layout: Automatic diagram optimization using Fruchterman-Reingold algorithm
Anti-Pattern Detection: Identifies cycles, bottlenecks, over-coupling, and isolated components
Structurizr Integration: JNI bridge for seamless Java/Kotlin integration
GPU Acceleration: Optional WGPU backend for large architectures (1000+ nodes)
Production-Grade Visualization: C4-compliant Graphviz DOT export
ML Foundation: Telemetry infrastructure for training neural layout models

Quick Start

# Build OptaCore library
cargo build --release --package optacore_struct

# Build JNI bridge (requires Java JDK 11+)
cargo build --release --package optacore_jni

# Run tests
cargo test --package optacore_struct
cargo test --package optacore_jni

# Output: target/release/liboptacore_jni.so (Linux/macOS/Windows)

Performance

Nodes	Edges	Layout Time	Anti-Patterns	Visualization
10	15	8ms	2ms	1ms
100	200	95ms	15ms	12ms
500	1000	580ms	85ms	70ms

Documentation

Complete Guide: crates/optacore_jni/README.md
Quick Start: crates/optacore_jni/QUICKSTART.md
Roadmap: crates/optacore_jni/ROADMAP.md
Build Instructions: BUILD_INSTRUCTIONS.md

Java Integration Example

import com.optafly.structurizr.OptaCoreJNI;

String dsl = """
    system MySystem {
      container WebApp {}
      container Database {}
    }
    WebApp -> Database "queries"
    """;

// Parse and optimize
String model = OptaCoreJNI.parseDsl(dsl);
String optimized = OptaCoreJNI.optimizeLayout(model);

// Detect anti-patterns
String patterns = OptaCoreJNI.detectAntiPatterns(optimized, "");

// Export visualization
String dot = OptaCoreJNI.generateDot(optimized, "");

Name		Name	Last commit message	Last commit date
Latest commit History 33,462 Commits
.cargo		.cargo
.cloudflare		.cloudflare
.config		.config
.github		.github
.zed		.zed
OptaCore-Struct		OptaCore-Struct
assets		assets
ci		ci
crates		crates
docs		docs
extensions		extensions
legal		legal
nix		nix
resources		resources
script		script
tooling		tooling
widget-log		widget-log
.clinerules		.clinerules
.cursorrules		.cursorrules
.git-blame-ignore-revs		.git-blame-ignore-revs
.gitattributes		.gitattributes
.gitignore		.gitignore
.mailmap		.mailmap
.prettierrc		.prettierrc
.rules		.rules
.windsurfrules		.windsurfrules
BUILD_INSTRUCTIONS.md		BUILD_INSTRUCTIONS.md
BURN_LM_MISTRAL_INTEGRATION_STRATEGY.md		BURN_LM_MISTRAL_INTEGRATION_STRATEGY.md
CHANGELOG.md		CHANGELOG.md
CLAUDE.md		CLAUDE.md
CODE_OF_CONDUCT.md		CODE_OF_CONDUCT.md
CONTRIBUTING.md		CONTRIBUTING.md
Cargo.lock		Cargo.lock
Cargo.toml		Cargo.toml
Cargo.toml.backup		Cargo.toml.backup
Dockerfile-collab		Dockerfile-collab
Dockerfile-collab.dockerignore		Dockerfile-collab.dockerignore
Dockerfile-cross.dockerignore		Dockerfile-cross.dockerignore
Dockerfile-distros		Dockerfile-distros
Dockerfile-distros.dockerignore		Dockerfile-distros.dockerignore
GEMINI.md		GEMINI.md
IMPLEMENTATION_SUMMARY.txt		IMPLEMENTATION_SUMMARY.txt
INSTALL.md		INSTALL.md
INSTALL_SCRIPTS.md		INSTALL_SCRIPTS.md
JNI_BRIDGE_SUMMARY.md		JNI_BRIDGE_SUMMARY.md
LICENSE-AGPL		LICENSE-AGPL
LICENSE-APACHE		LICENSE-APACHE
LICENSE-GPL		LICENSE-GPL
LICENSE.md		LICENSE.md
LIFECYCLE_MANAGEMENT_ARCHITECTURE.md		LIFECYCLE_MANAGEMENT_ARCHITECTURE.md
OPTACORE_IMPLEMENTATION_ROADMAP.md		OPTACORE_IMPLEMENTATION_ROADMAP.md
OPTACORE_PROGRESS.md		OPTACORE_PROGRESS.md
PHASE25_PARALLEL_INSTALL.md		PHASE25_PARALLEL_INSTALL.md
PHASE_2.5_COMPLETE.md		PHASE_2.5_COMPLETE.md
PHASE_2A_EXTENDED_OPTACORE_INTEGRATION.md		PHASE_2A_EXTENDED_OPTACORE_INTEGRATION.md
PHASE_2A_IMPLEMENTATION_SUMMARY.md		PHASE_2A_IMPLEMENTATION_SUMMARY.md
PHASE_2B_IMPLEMENTATION_PLAN.md		PHASE_2B_IMPLEMENTATION_PLAN.md
PHASE_2C_ASSESSMENT.md		PHASE_2C_ASSESSMENT.md
PROMPT_MANAGEMENT_AGENT_ARCHITECTURE.md		PROMPT_MANAGEMENT_AGENT_ARCHITECTURE.md
PUBLIC_RELEASE_SUMMARY.md		PUBLIC_RELEASE_SUMMARY.md
Procfile		Procfile
Procfile.web		Procfile.web
README.md		README.md
RELEASE_v1.0.0_SUMMARY.md		RELEASE_v1.0.0_SUMMARY.md
REPOSITORY_STATUS.md		REPOSITORY_STATUS.md
REVIEWERS.conl		REVIEWERS.conl
WIDGET_LOG_INTEGRATION.md		WIDGET_LOG_INTEGRATION.md
WIDGET_LOG_INTEGRATION_NOTE.md		WIDGET_LOG_INTEGRATION_NOTE.md
WIDGET_LOG_NATIVE_INTEGRATION_PLAN.md		WIDGET_LOG_NATIVE_INTEGRATION_PLAN.md
clippy.toml		clippy.toml
compose.yml		compose.yml
debug.plist		debug.plist
default.nix		default.nix
docker-compose.sql		docker-compose.sql
flake.lock		flake.lock
flake.nix		flake.nix
install-macos.sh		install-macos.sh
install-parallel.sh		install-parallel.sh
install-phase25-parallel.sh		install-phase25-parallel.sh
install.sh		install.sh
livekit.yaml		livekit.yaml
lychee.toml		lychee.toml
renovate.json		renovate.json
rust-toolchain.toml		rust-toolchain.toml
shell.nix		shell.nix
typos.toml		typos.toml

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