Termination Condition Evaluation For Agent Conversations

A programming framework for agentic AI

Unique: Decouples termination logic from team orchestration by making it a pluggable abstraction, allowing applications to define domain-specific stopping criteria without modifying team code. Conditions have full access to conversation history for sophisticated decision-making.

vs others: More flexible than fixed stopping rules (max turns, timeout); allows semantic termination based on conversation content. Easier to compose multiple conditions than building custom team subclasses.