🔐 Guardian

AI-Powered Penetration Testing Automation Platform

Guardian is an enterprise-grade AI-powered penetration testing automation framework that combines multiple AI providers (OpenAI GPT-4, Claude, Google Gemini, OpenRouter) with battle-tested security tools to deliver intelligent, adaptive security assessments with comprehensive evidence capture.

Features • Installation • Quick Start • Documentation • Contributing

⚠️ Legal Disclaimer

Guardian is designed exclusively for authorized security testing and educational purposes.

✅ Legal Use: Authorized penetration testing, security research, educational environments
❌ Illegal Use: Unauthorized access, malicious activities, any form of cyber attack

You are fully responsible for ensuring you have explicit written permission before testing any system. Unauthorized access to computer systems is illegal under laws including the Computer Fraud and Abuse Act (CFAA), GDPR, and equivalent international legislation.

By using Guardian, you agree to use it only on systems you own or have explicit authorization to test.

✨ Features

🤖 Multi-Provider AI Intelligence

6 AI Providers Supported: OpenAI (GPT-4o), Anthropic (Claude), Google (Gemini), OpenRouter, Ollama (local), OpenAI-compatible (vLLM, LM Studio, Together, Groq)
Plugin Provider Contract: Third-party providers ship via [project.entry-points."guardian.providers"] — no fork required
Multi-Agent Architecture: Specialized AI agents (Planner, Tool Selector, Analyst, Reporter) plus debate triage roles (Red Advocate, Blue Advocate, Judge) and Visual Triage
Multi-Agent Debate Triage: Three-role red/blue/judge debate on ambiguous findings — F1 ≥ single-agent baseline +5pp
Vision-LLM Visual Triage: Headless screenshot capture + image-grounded analyst enrichment via gpt-4o / Claude 3.5+ / Gemini 1.5+
RAG Knowledge Base: SQLite + FTS5 grounded retrieval over CVE / CWE / MITRE ATT&CK feeds — kills hallucinated CVE refs
Judge Model Routing: think_deeply swap-and-restore — big model thinks, small model judges, ~10x cost reduction
Learned Tool Selection: Offline ranker trained on session telemetry; abstains when low-confidence and falls back to LLM selector
Adaptive Testing: AI adjusts tactics based on discovered vulnerabilities and prior tool yields
False Positive Filtering: Debate triage cuts noise; cheap path skips when fp_probability is decisive

🛠️ Extensive Tool Arsenal

50 Integrated Security Tools across 10 categories:

Category	Tools
Network	nmap, masscan
Web Reconnaissance	httpx, whatweb, wafw00f, cmseek
Subdomain / DNS	subfinder, amass, dnsrecon
Vulnerability Scanning	nuclei, nikto, sqlmap, wpscan
SSL/TLS Testing	testssl, sslyze
Content Discovery	gobuster, ffuf, arjun
Security Analysis	xsstrike, gitleaks
Cloud / Container / SBOM	trivy, grype, syft, scoutsuite, prowler, kube-bench
Modern Web + OSINT	graphw00f, clairvoyance, jwt_tool, shodan, theharvester
SAST + Secrets (B11)	semgrep, trufflehog, dependency-check
API Fuzzers (B10)	schemathesis, cariddi, restler
Burp/ZAP Bridge (B13)	zap, burp
LLM Red-Team (B12)	garak, pyrit, prompt_fuzz
Mobile Android (B9)	mobsf, apkleaks, objection
Active Directory (B8)	crackmapexec, bloodhound, kerbrute, impacket-secretsdump
Vision Evidence (A3)	playwright_screenshot

📊 Enhanced Evidence Capture

Execution Traceability: Every finding linked to its source tool execution via execution_id
Complete Command History: Full tool output preserved with each finding
Raw Evidence Storage: Output snippets bound to findings
Visual Evidence: Screenshots captured per URL, attached to web findings
Session Reconstruction: Atomic-checkpointed session_<id>.json enables --resume

🔄 Smart Workflow System (DSL v2)

DAG Scheduler: Steps with depends_on run in parallel up to max_parallel_tools
Jinja2 Templates (sandboxed): parameters: {key: "{{ <id>.parsed.alive_hosts }}"} resolves against prior step results
Conditional Steps: when: clauses gate execution on prior output
Resume: --resume picks up after the last completed step
Parameter Priority: Workflow YAML > config block > tool defaults
Custom Agents: agent: debate | visual | analyst on analysis steps
Multiple Report Formats: Markdown, HTML, JSON

📤 Output Integrations (B14)

SARIF v2.1.0: GitHub-friendly, includes security-severity, dedup fingerprints from execution_id
DefectDojo: Direct REST upload
Slack: Webhook posts with severity colour-coding
Triggered via: guardian report --export sarif --export defectdojo --export slack

🔒 Security & Compliance

DNS-Resolve Scope Validation: Closes SSRF-class bypass; private RFC1918 ranges blacklisted
Prompt-Injection Defense: All tool output wrapped via <UNTRUSTED_TOOL_OUTPUT> delimiters + ANSI strip
API Key Scrubbing: Logs and reports redact secrets at write time
Confirmation Gate: Active+ tools (intrusive/destructive) require explicit user approval
Audit Logging: Rotating logs of every AI decision and action
Safe Mode: Prevents destructive actions by default

📋 Professional Reporting

CVSS v3.1 Recomputation: Validates claimed scores against vector math; flags drift
Executive Summaries: Non-technical overviews
Technical Deep-Dives: Findings with evidence, CVSS, CWE, CVE, MITRE technique
AI Decision Traces: Token usage, cost, thinking-chain ledger per agent
Visual Triage Sections: Image-grounded enrichment baked into descriptions

⚡ Performance & Efficiency

Async Throughout: Tool exec via asyncio subprocess; agents async
Lazy Tool Loading: 50 tools registered, none imported until needed — --help stays under 500ms
Parallel DAG Execution: Independent steps run concurrently per generation
Workflow Automation: 13+ shipped workflows (recon, web, network, AD, mobile, LLM red-team, SAST, API)

📋 Prerequisites

Required

Python 3.11 or higher (Download)
AI Provider API Key (Choose one):
- OpenAI API Key (Get it here)
- Anthropic API Key (Get it here)
- Google AI Studio API Key (Get it here)
- OpenRouter API Key (Get it here)
Git (for cloning repository)

Optional Tools (for full functionality)

Guardian can intelligently use these tools if installed:

Tool	Purpose	Installation
nmap	Port scanning	`apt install nmap` / `choco install nmap`
masscan	Ultra-fast scan	`apt install masscan` / Build from source
httpx	HTTP probing	`go install github.com/projectdiscovery/httpx/cmd/httpx@latest`
subfinder	Subdomain enum	`go install github.com/projectdiscovery/subfinder/v2/cmd/subfinder@latest`
amass	Network mapping	`go install github.com/owasp-amass/amass/v4/...@master`
nuclei	Vuln scanning	`go install github.com/projectdiscovery/nuclei/v3/cmd/nuclei@latest`
whatweb	Tech fingerprint	`gem install whatweb` / `apt install whatweb`
wafw00f	WAF detection	`pip install wafw00f`
nikto	Web vuln scan	`apt install nikto`
sqlmap	SQL injection	`pip install sqlmap` / `apt install sqlmap`
wpscan	WordPress scan	`gem install wpscan`
testssl	SSL/TLS testing	Download from testssl.sh
sslyze	SSL/TLS analysis	`pip install sslyze`
gobuster	Directory brute	`go install github.com/OJ/gobuster/v3@latest`
ffuf	Web fuzzing	`go install github.com/ffuf/ffuf/v2@latest`
arjun	Parameter discovery	`pip install arjun`
xsstrike	Advanced XSS	`git clone https://github.com/s0md3v/XSStrike`
gitleaks	Secret scanning	`go install github.com/zricethezav/gitleaks/v8@latest`
cmseek	CMS detection	`pip install cmseek`
dnsrecon	DNS enumeration	`pip install dnsrecon`

Note: Guardian works without external tools but with limited scanning capabilities. The AI will adapt based on available tools.

🚀 Installation

Step 1: Clone Repository

git clone https://github.com/zakirkun/guardian-cli.git
cd guardian-cli

Step 2: Set Up Python Environment

Linux/macOS:

python3 -m venv venv
source venv/bin/activate
pip install -e .

Windows:

python -m venv venv
.\venv\Scripts\activate
pip install -e .

Step 3: Configure AI Provider

Guardian supports multiple AI providers. Configure your preferred provider in config/guardian.yaml:

# config/guardian.yaml
ai:
  # Choose your provider: openai, claude, gemini, or openrouter
  provider: openai
  
  # OpenAI Configuration (recommended)
  openai:
    model: gpt-4o
    api_key: sk-your-api-key-here  # Or set OPENAI_API_KEY env var
  
  # Claude Configuration
  claude:
    model: claude-3-5-sonnet-20241022
    api_key: null  # Or set ANTHROPIC_API_KEY env var
  
  # Gemini Configuration
  gemini:
    model: gemini-2.5-pro
    api_key: null  # Or set GOOGLE_API_KEY env var
  
  # OpenRouter Configuration
  openrouter:
    model: anthropic/claude-3.5-sonnet
    api_key: null  # Or set OPENROUTER_API_KEY env var

Or use environment variables:

# Linux/macOS
export OPENAI_API_KEY="sk-your-key-here"
export ANTHROPIC_API_KEY="sk-ant-your-key-here"
export GOOGLE_API_KEY="your-gemini-key"
export OPENROUTER_API_KEY="your-router-key"

# Windows PowerShell
$env:OPENAI_API_KEY="sk-your-key-here"
$env:ANTHROPIC_API_KEY="sk-ant-your-key-here"

Step 4: Initialize Configuration

# Verify installation
python -m cli.main --help

# Check AI provider status
python -m cli.main models

🎯 Quick Start

Basic Commands

# List available workflows
python -m cli.main workflow list

# View AI providers and models
python -m cli.main models

# Run with specific provider
python -m cli.main workflow run --name web_pentest --target example.com --provider openai

Example Usage Scenarios

1. Quick Web Application Pen Test

# Fast security check with evidence capture
python -m cli.main workflow run --name web_pentest --target https://dvwa.csalab.app

Expected Output:

✅ HTTP discovery with httpx
✅ Vulnerability scan with nuclei
✅ Full evidence linking (commands + outputs)
✅ Markdown report with findings

2. Comprehensive Network Assessment

# Full network penetration test
python -m cli.main workflow run --name network --target 192.168.1.0/24

3. Custom Workflow with Parameters

# Run with workflow-specific parameters
# Parameters in workflow YAML override config defaults
python -m cli.main workflow run --name web_pentest --target example.com

Workflow Parameter Priority:

Workflow YAML parameters (highest priority)
Config file parameters
Tool defaults (lowest priority)

4. Generate Report from Session

# Create HTML report with evidence
python -m cli.main report --session 20260203_175905 --format html

5. Switch AI Providers

# Use OpenAI GPT-4
python -m cli.main workflow run --name web_pentest --target example.com --provider openai

# Use Claude
python -m cli.main workflow run --name web_pentest --target example.com --provider claude

# Use Gemini
python -m cli.main workflow run --name web_pentest --target example.com --provider gemini

# Local Ollama (no cloud)
OLLAMA_HOST=http://localhost:11434 python -m cli.main workflow run --name recon --target scanme.nmap.org --provider ollama

# Any OpenAI-compatible endpoint (vLLM, LM Studio, Together, Groq)
python -m cli.main workflow run --name web_pentest --target example.com --provider openai_compatible

6. Knowledge Base (RAG grounding)

# Seed bundled offline corpus
python -m cli.main kb seed

# Show corpus stats
python -m cli.main kb status

# Ad-hoc retrieval
python -m cli.main kb query "log4j JNDI" --top 5

# Ingest external feed (NVD JSON / MITRE STIX / nuclei metadata)
python -m cli.main kb update --kind cve --file ./nvd-2025.json

Enable analyst grounding in config/guardian.yaml:

rag:
  enabled: true
  top_k: 5

7. Multi-agent Debate Triage

# Workflow YAML uses agent: debate on an analysis step
python -m cli.main workflow run --name web_pentest_with_debate --target https://example.com

Three roles (red advocate, blue advocate, judge) debate ambiguous findings only — confident verdicts skip the debate to bound token cost.

8. Visual Triage (vision-LLM)

# Captures full-page screenshots and feeds them to a vision-capable provider
python -m cli.main workflow run --name web_visual_pentest --target https://example.com --provider openai

Requires playwright: pip install playwright && python -m playwright install chromium. Skipped silently when active provider has no vision support.

9. Output Exporters (SARIF / DefectDojo / Slack)

# SARIF (GitHub code-scanning friendly)
python -m cli.main report --session 20260203_175905 --export sarif

# Multiple sinks at once
python -m cli.main report --session 20260203_175905 --export sarif --export defectdojo --export slack \
  --slack-webhook https://hooks.slack.com/services/...

10. Telemetry + Learned Ranker (offline)

# Anonymise sessions into JSONL (no raw targets, no commands, no secrets)
python -m cli.main telemetry export ./reports --out telemetry.jsonl

# Train the offline tool ranker
python -m cli.main telemetry train telemetry.jsonl

# Inspect what the ranker learned
python -m cli.main telemetry status

Enable in config:

ai:
  use_learned_ranker: true   # ToolAgent calls ranker before LLM selector

Windows Users: Use python -m cli.main instead of guardian

🔧 Configuration

Complete Configuration Reference

Edit config/guardian.yaml to customize Guardian's behavior:

# AI Configuration
ai:
  provider: openai  # openai, claude, gemini, openrouter
  
  openai:
    model: gpt-4o
    api_key: sk-your-key  # Or use OPENAI_API_KEY env var
  
  claude:
    model: claude-3-5-sonnet-20241022
    api_key: null
  
  gemini:
    model: gemini-2.5-pro
    api_key: null
  
  temperature: 0.2
  max_tokens: 8000

# Penetration Testing Settings
pentest:
  safe_mode: true              # Prevent destructive actions
  require_confirmation: true   # Confirm before each step
  max_parallel_tools: 3        # Concurrent tool execution
  max_depth: 3                 # Maximum scan depth
  tool_timeout: 300            # Tool timeout in seconds

# Output Configuration
output:
  format: markdown             # markdown, html, json
  save_path: ./reports
  include_reasoning: true
  verbosity: normal            # quiet, normal, verbose, debug

# Scope Validation
scope:
  blacklist:                   # Never scan these
    - 127.0.0.0/8
    - 10.0.0.0/8
    - 172.16.0.0/12
    - 192.168.0.0/16
  require_scope_file: false
  max_targets: 100

# Tool Configuration (defaults)
tools:
  httpx:
    threads: 50
    timeout: 10
    tech_detect: true
  
  nuclei:
    severity: ["critical", "high", "medium"]
    templates_path: ~/nuclei-templates
  
  nmap:
    default_args: "-sV -sC"
    timing: T4

Workflow Parameters

Create custom workflows in workflows/ directory:

# workflows/custom_web.yaml
name: custom_web_assessment
description: Custom web security testing

steps:
  - name: http_discovery
    type: tool
    tool: httpx
    parameters:
      threads: 100        # Override config default (50)
      timeout: 15         # Override config default (10)
      tech_detect: true
  
  - name: vulnerability_scan
    type: tool
    tool: nuclei
    parameters:
      severity: ["critical", "high"]  # Override config
      templates_path: ".shared/nuclei/templates/"
  
  - name: generate_report
    type: report
    # Format will use config default (markdown)

Parameter Priority:

Workflow parameters override config parameters
Config parameters override tool defaults
Self-contained, reusable workflows

📖 Documentation

User Guides

Quick Start Guide - Get up and running in 5 minutes
Command Reference - Detailed documentation for all commands
Configuration Guide - Complete configuration reference
Workflow Guide - Creating custom workflows
Eval Guide - Running and extending the eval harness
Plugin Guide - Shipping third-party providers and tools
Changelog - Version history and migration notes

Developer Guides

Creating Custom Tools - Build your own tool integrations
Workflow Development - Create custom testing workflows
Available Tools - Overview of integrated tools

Architecture Overview

Guardian Architecture:
┌─────────────────────────────────────────┐
│         AI Provider Layer               │
│  (OpenAI, Claude, Gemini, OpenRouter)   │
└─────────────────────────────────────────┘
                 │
┌─────────────────────────────────────────┐
│       Multi-Agent System                │
│  Planner → Tool Agent → Analyst →      │
│            Reporter                      │
└─────────────────────────────────────────┘
                 │
┌─────────────────────────────────────────┐
│      Workflow Engine                    │
│  - Parameter Priority                   │
│  - Evidence Capture                     │
│  - Session Management                   │
└─────────────────────────────────────────┘
                 │
┌─────────────────────────────────────────┐
│      Tool Integration Layer             │
│  (19 Security Tools)                    │
└─────────────────────────────────────────┘

🏗️ Project Structure

guardian-cli/
├── ai/                    # AI integration
│   └── providers/         # Multi-provider support
│       ├── base_provider.py
│       ├── openai_provider.py
│       ├── claude_provider.py
│       ├── gemini_provider.py
│       └── openrouter_provider.py
├── cli/                   # Command-line interface
│   └── commands/         # CLI commands (init, scan, recon, etc.)
├── core/                  # Core agent system
│   ├── agent.py          # Base agent
│   ├── planner.py        # Planner agent
│   ├── tool_agent.py     # Tool selection agent
│   ├── analyst_agent.py  # Analysis agent
│   ├── reporter_agent.py # Reporting agent
│   ├── memory.py         # State management
│   └── workflow.py       # Workflow orchestration
├── tools/                 # Pentesting tool wrappers
│   ├── nmap.py           # Nmap integration
│   ├── masscan.py        # Masscan integration
│   ├── httpx.py          # httpx integration
│   ├── subfinder.py      # Subfinder integration
│   ├── amass.py          # Amass integration
│   ├── nuclei.py         # Nuclei integration
│   ├── sqlmap.py         # SQLMap integration
│   ├── wpscan.py         # WPScan integration
│   ├── whatweb.py        # WhatWeb integration
│   ├── wafw00f.py        # Wafw00f integration
│   ├── nikto.py          # Nikto integration
│   ├── testssl.py        # TestSSL integration
│   ├── sslyze.py         # SSLyze integration
│   ├── gobuster.py       # Gobuster integration
│   ├── ffuf.py           # FFuf integration
│   └── ...               # 15 tools total
├── workflows/             # Workflow definitions (YAML)
├── utils/                 # Utilities (logging, validation)
├── config/                # Configuration files
├── docs/                  # Documentation
└── reports/               # Generated reports

🆕 Latest Updates

Version 4.0.0 — Novel R&D + Coverage Expansion

Track A — AI/Agent R&D (7 items)

ID	Item	Highlights
A1	RAG knowledge base	`core/knowledge_base.py` SQLite + FTS5 + optional embeddings; analyst grounding via `kb_references` slot; `guardian kb {seed,update,query,status}`
A2	Multi-agent debate triage	Red/Blue/Judge over MEDIUM-fp findings only; new analysis step type `agent: debate`
A3	Vision-LLM screenshot analysis	`tools/playwright_screenshot.py` + `core/agents/visual_triage.py`; OpenAI + Claude `generate_with_images`
A4	Plugin contract + local providers	Entry-point discovery for providers AND tools; Ollama + OpenAI-compatible providers shipped
A5	Learned tool selection (offline)	`core/learners/tool_ranker.py` + `core/telemetry.py`; opt-in via `ai.use_learned_ranker: true`
A6	Eval harness	`evals/{__init__,scoring,fixtures_loader,test_*}.py` + golden fixtures; 3 tiers (parser, workflow, agent grounding)
A7	Judge model upgrade	`BaseAgent.think_deeply(judge_model=...)` swap-and-restore; transcript-judging for ~10x cost reduction

Track B — Tool Coverage Expansion (7 items)

ID	Category	Tools Added
B8	Active Directory	crackmapexec, bloodhound, kerbrute, impacket-secretsdump
B9	Mobile Android	mobsf, apkleaks, objection
B10	API fuzzers	schemathesis, restler, cariddi
B11	SAST + secrets	semgrep, trufflehog, dependency-check
B12	LLM red-team	garak, pyrit, prompt_fuzz
B13	Burp/ZAP bridge	zap, burp
B14	Output exporters	SARIF v2.1.0, DefectDojo, Slack

Quality bar:

296 tests pass (+93% from v3 baseline of 153)
All v3 hardening preserved: prompt-injection delimiters, key scrub, DNS-resolve scope, atomic checkpoints, log rotation, lazy tool loading
guardian --help startup time stays <500ms despite 50 tools
New CLI surfaces: guardian kb, guardian telemetry
8 new shipped workflows: web_pentest_with_debate, web_visual_pentest, ad_assessment, mobile_android, llm_redteam, sast_review, api_pentest_v2, plus existing v3 workflows

Version 3.0.0 — Hardening + Engine v2

Prompt-injection delimiters (<UNTRUSTED_TOOL_OUTPUT>) on all tool output
DAG scheduler, Pydantic schemas, atomic checkpoints, --resume
11 new wrappers (cloud/container/SBOM/GraphQL/JWT/OSINT)
CVSS v3.1 recomputation + drift detection
Log rotation, key scrub at write time
Confirmation gate wired for active+ tools

Version 2.0.0

Multi-provider AI (OpenAI, Claude, Gemini, OpenRouter)
Evidence linking via execution_id
Workflow parameter priority system

🤝 Contributing

We welcome contributions! Here's how:

Setting Up Development Environment

# Fork and clone
git clone https://github.com/zakirkun/guardian-cli.git
cd guardian-cli

# Install dev dependencies
pip install -e ".[dev]"

# Run tests
pytest tests/

# Format code
black .

Contribution Areas

🤖 AI Provider Integrations - Add more AI models
🛠️ New Tool Integrations - Add more security tools
🔄 Custom Workflows - Share your workflow templates
🐛 Bug Fixes - Report and fix issues
📚 Documentation - Improve guides and examples
🧪 Testing - Expand test coverage

See CONTRIBUTING.md for detailed guidelines.

📊 Roadmap

Shipped in v4.0.0:

Future:

Web Dashboard for visualization
PostgreSQL backend for multi-session analytics
Real-time multi-operator collaboration
Custom LLM fine-tuning pipeline once telemetry corpus matures
Plugin marketplace / hub UI

🐛 Troubleshooting

Common Issues

Import Errors

# Reinstall dependencies
pip install -e . --force-reinstall

AI Provider Errors

# Verify API key is set
python -m cli.main models

# Check provider configuration
cat config/guardian.yaml | grep -A 5 "ai:"

Tool Not Found

# Check tool availability
which nmap
which httpx

# Install missing tools (see Prerequisites)

Workflow Not Loading

# Check workflow file exists
ls workflows/web_pentest.yaml

# Verify YAML syntax
python -c "import yaml; yaml.safe_load(open('workflows/web_pentest.yaml'))"

Windows Command Not Found

# Use full command
python -m cli.main --help

For more help, open an issue.

📄 License

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

🙏 Acknowledgments

OpenAI - GPT-4 capabilities
Anthropic - Claude AI
Google - Gemini AI
LangChain - AI orchestration framework
ProjectDiscovery - Open-source security tools (httpx, subfinder, nuclei)
Nmap - Network exploration and security auditing
The Security Community - Tool developers and researchers

📞 Support & Contact

GitHub Issues: Report bugs or request features
Discussions: Join community discussions
Documentation: Read the docs
Security: Report vulnerabilities privately to security@example.com

🌟 Star History

Guardian - Intelligent, Ethical, Automated Penetration Testing

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README.md		README.md
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🔐 Guardian

AI-Powered Penetration Testing Automation Platform

⚠️ Legal Disclaimer

✨ Features

🤖 Multi-Provider AI Intelligence

🛠️ Extensive Tool Arsenal

📊 Enhanced Evidence Capture

🔄 Smart Workflow System (DSL v2)

📤 Output Integrations (B14)

🔒 Security & Compliance

📋 Professional Reporting

⚡ Performance & Efficiency

📋 Prerequisites

Required

Optional Tools (for full functionality)

🚀 Installation

Step 1: Clone Repository

Step 2: Set Up Python Environment

Step 3: Configure AI Provider

Step 4: Initialize Configuration

🎯 Quick Start

Basic Commands

Example Usage Scenarios

1. Quick Web Application Pen Test

2. Comprehensive Network Assessment

3. Custom Workflow with Parameters

4. Generate Report from Session

5. Switch AI Providers

6. Knowledge Base (RAG grounding)

7. Multi-agent Debate Triage

8. Visual Triage (vision-LLM)

9. Output Exporters (SARIF / DefectDojo / Slack)

10. Telemetry + Learned Ranker (offline)

🔧 Configuration

Complete Configuration Reference

Workflow Parameters

📖 Documentation

User Guides

Developer Guides

Architecture Overview

🏗️ Project Structure

🆕 Latest Updates

Version 4.0.0 — Novel R&D + Coverage Expansion

Version 3.0.0 — Hardening + Engine v2

Version 2.0.0

🤝 Contributing

Setting Up Development Environment

Contribution Areas

📊 Roadmap

🐛 Troubleshooting

Common Issues

📄 License

🙏 Acknowledgments

📞 Support & Contact

🌟 Star History

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