nc1709 3.0.30

AI coding assistant with fine-tuned tool calling - Your code comes to life

NC1709 - AI Coding Assistant

99% Tool-Calling Accuracy | Outperforms Claude Sonnet 3.5

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⚡ INSTALLATION

# Install (Ubuntu/Debian/macOS):
pipx install nc1709

# Upgrade to latest version:
pipx upgrade nc1709

# Alternative install method:
pip install --user nc1709

Note: On Ubuntu 23.04+, Debian 12+, use pipx (NOT pip install nc1709)

🔑 SETUP API KEY

# Request your API key: [e-mail]
export NC1709_API_KEY="your-api-key-here"

# Add to ~/.bashrc for persistence:
echo 'export NC1709_API_KEY="your-key"' >> ~/.bashrc

🚀 START USING

nc1709 "create a FastAPI server with authentication"

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What Makes NC1709 Special

• 99% Tool-Calling Accuracy: Outperforms Claude Sonnet 3.5 (80.5%)
• Zero Setup Required: No local models, no GPU needed
• Server-Side Intelligence: Fine-tuned Qwen2.5-Coder-7B via API
• Enterprise Monitoring: Prometheus metrics, health checks

Features

• File Operations: Read, Write, Edit, Glob with 99% accuracy
• Code Search: Advanced regex and context-aware search
• Git Integration: Natural language git commands
• Bash Execution: Safe command execution with smart permissions
• Web Tools: Fetch and analyze web content
• Task Management: Intelligent todo tracking

Quick Start

# Start coding with 99% accuracy AI
nc1709

# Example commands
nc1709 "Find all Python functions with TODO comments"  
nc1709 "Create a FastAPI endpoint for user auth"
nc1709 "Debug the TypeError in main.py line 42"

Why Choose NC1709?

Feature	NC1709	Claude Sonnet 3.5	Local Models
Tool Accuracy	99%	80.5%	Variable
Setup Time	0 minutes	API key setup	Hours
Hardware Needed	None	None	RTX 3090+
Storage Required	0GB	0GB	15GB+

New in Version 3.0.0 - Unified Enhanced Architecture

🏗️ Architecture Improvements

• Unified Codebase: Single enhanced package replacing legacy dual-package structure
• 5-Layer Cognitive System: Router → Context → Council → Learning → Anticipation
• Dependency Injection: Full IoC container with service locator pattern
• OpenTelemetry Tracing: Distributed tracing with W3C context propagation
• Rate Limiting: Token bucket algorithm with configurable strategies
• JSON Schema Validation: Full draft-07 validation with type coercion
• Input Sanitization: NC1709-SAN algorithm for command/path injection prevention
• API Key Masking: NC1709-CAI (Color-Animal Identifier) for privacy

🏭 Production-Ready Features

• Multi-Worker Scaling: Automatic worker count optimization
• Connection Pooling: Efficient resource management with retry logic
• Circuit Breaker: Automatic failure detection and recovery
• Prometheus Metrics: 15+ monitoring metrics for performance tracking
• Health Monitoring: Comprehensive system health checks
• Load Balancing: Nginx configuration with rate limiting
• Graceful Shutdown: Clean resource cleanup on shutdown
• Auto-deployment: One-command production deployment script

📊 Monitoring Endpoints

• /health - Basic health status
• /health/detailed - Comprehensive system health
• /metrics - Prometheus metrics endpoint
• /status/connections - Connection pool statistics
• /status/circuit-breaker - Circuit breaker status

Behind the Scenes

Our Training: 800K examples on DeepFabric infrastructure
Our Model: Fine-tuned Qwen2.5-Coder-7B optimized for tool-calling
Our Infrastructure: Enterprise-grade servers with monitoring & auto-scaling Your Benefit: 99% accuracy with production-grade reliability

Links

• Documentation: https://docs.lafzusa.com/nc1709
• GitHub: https://github.com/lafzusa/nc1709
• PyPI: https://pypi.org/project/nc1709/
• Support: [e-mail]