v0.1.6 - Multi-Agent Presets & CI Pipeline

New Features

• Qwen3.5 multi-agent presets with 3 parallel slots:
  • qwen35-27b-multi (17GB VRAM, dense architecture)
  • qwen35-35b-multi (20GB VRAM, Q4_K_XL MoE)
  • qwen35-35b-q3-multi (16GB VRAM, Q3_K_XL MoE)
  • qwen3-coder-multi-p3 for code mode
• llama.cpp architecture compatibility checker with version detection
• Tetris multi-agent benchmark comparing 27B vs 35B models

Infrastructure

• GitHub Actions CI with lint, typecheck, test, and audit gates
• PyPI publish workflow with trusted publishing

Fixes

• MCP generate_preset now outputs flat PresetConfig format
• Code mode updated to use multi-slot preset

Benchmark Results

• 35B MoE models are 3.8x faster than 27B dense for multi-agent tasks
• Q3 quantization shows minimal quality loss vs Q4 with 4GB VRAM savings

Full Changelog

v0.1.5...v0.1.6