v0.8.3

Training pair evolution

Added

• Training pair evolution: New scripts/evolve_pairs.py with 3 strategies to expand short training pairs into longer, richer examples
  • Evol-Instruct: Rewrites answers with deeper reasoning, edge cases, and detection artifacts (3-5x longer)
  • Multi-turn Decomposition: Breaks Q&A into 3-5 turn conversations for better training flow
  • Chain-of-Thought Injection: Adds explicit reasoning steps before final answers
• Quality filtering: scripts/filter_evolved.py validates evolved pairs (structure, length, provenance, dedup)
• --evolved-ratio flag: Mix evolved pairs into training at configurable ratio in train_all.py and train_template.py
• scripts/evolved_mixer.py: Standalone mixer module for evolved pair integration

Changed

• Agent models upgraded: glm-5.1 → glm-5.2, minimax-m2.7 → minimax-m3, added kimi-k2.7-code