MVPandey/DTS
🌳 MCTS-inspired parallel beam search for conversation optimization. Explore multiple dialogue strategies simultaneously, stress-test against diverse user personas, score with multi-judge consensus, and discover winning conversation paths that single-shot LLMs miss.
Implements parallel beam search with multi-turn conversation rollout, forking each strategy across diverse simulated user intents (cooperative, skeptical, resistant, etc.) to stress-test robustness. Multi-judge consensus scoring with median voting prunes underperforming branches; supports both comparative (force-ranked siblings) and absolute (independent 0-10) scoring modes. Integrates with OpenRouter/OpenAI for LLM calls and includes real-time web-based visualizer for tree exploration, strategy playback, and evaluation breakdowns.
Stars
35
Forks
6
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 18, 2026
Commits (30d)
0
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