LogicArena is a LangGraph-based multi-agent system designed to simulate real debate scenarios and teach users how to identify and understand logical fallacies.
Multiple specialized agents debate around a given topic, while the system automatically detects fallacies, evaluates reasoning quality, and provides educational feedback.

Agents

1. Topic Orchestrator
   Role: Standardizes the debate topic and defines structure.
   Input: User topic + difficulty level.
   Output:
   Debate configuration
   Pro/Con stance description
   Number of rounds

2. Debater Pro (Pro Side)
   Role: Defends the affirmative stance.
   Behavior: Structured arguments with 2–3 main points and minor deliberate fallacies for teaching.

3. Debater Con (Con Side)
   Role: Defends the opposing stance.
   Behavior: Rebuts Pro’s points while introducing its own reasoning, also with subtle fallacies.

4. Logic Judge
   Role: Detects logical fallacies and evaluates argument quality.
   Behavior: Uses fallacy_knowledge_base and detect_fallacies tools.

Outputs structured fallacy reports and scores across logic, clarity, and evidence.

5. Tutor
   Role: Provides educational commentary.
   Behavior:
   Explains detected fallacies.
   Suggests improved phrasing.
   Generates multiple-choice practice questions.