Multi-Agent AI: Chess
Multi-agent GenAI app based on the LangGraph framework. Evaluation via LangSmith.
- Agents: 1. Chess Board Proxy (LLM: gpt-4.1-mini), 2. Player White (LLM: gpt-4.1), and 3. Player Black (LLM: gpt-4o)
- Tools: 1. Get Legal Moves and 2. Make Move
See also multi-agent multi-modal multi-model General AI Assistant.
Player White, Move 1
Analysis: e2e4 ♙
- Opens lines for the queen and bishop
- Controls the center
- Classic opening move for rapid development
Player Black, Move 2
Analysis: e7e5 ♟
- Controls the center of the board
- Opens lines for the queen and bishop
- Symmetrical response to White's e2e4, leading to an open game
Player White, Move 3
Analysis: g1f3 ♘
- Develops the kingside knight to a natural square
- Attacks the e5 pawn and controls central squares
- Prepares for quick kingside castling
Player Black, Move 4
Analysis: g8f6 ♞
- Develops the kingside knight to its optimal square
- Attacks the e4 pawn and supports the center
- Prepares for a flexible pawn structure and potential kingside castling