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Building a Multi-Agent Debate Platform with LangGraph
Why LangGraph?
Among the many AI frameworks, what attracted me most about LangGraph is its StateGraph mechanism. Compared to simple Chains, StateGraph provides more flexible control flow, making it ideal for scenarios requiring multiple agents to interact.
Architecture Design
Role Design
class DebateRole(Enum): MODERATOR = "moderator" PRO = "pro" CON = "con"State Design
class DebateState(TypedDict): topic: str messages: list[Message] current_speaker: DebateRole round: intLessons Learned
1. Message Ordering Issues
Initially, I did not handle message ordering correctly, leading to incoherent agent responses.
2. Token Limits
As debates progressed, historical messages became too long and exceeded token limits. The solution was implementing a summarization mechanism.
Results
DebateAI can now conduct complete debate processes, including opening, interactive debate, and conclusion phases.
Next Steps
- Add more role types
- Support multilingual debates
- Add scoring mechanism
Building a Multi-Agent Debate Platform with LangGraph
https://blog.roy422.dev/en/blog/langgraph-debate/