### Answer
Based on the available documentation, there is no explicitly stated maximum limit on the number of finetune examples you can add to a node. [(1) ](
)
Regarding latency impact, the documentation does not specifically address whether adding finetune examples affects response speed. However, for transition conditions, the documentation notes that "more conditions can make it harder for agent to choose the desired one" — a similar principle may apply to finetune examples in terms of processing complexity. [(2) ](
)
If you're experiencing latency concerns, you might consider:
- Using a faster LLM model within the node settings [(3) ](
)
- Keeping finetune examples focused and relevant rather than adding excessive examples [(1) ](
)
For definitive guidance on limits or performance impact, I'd recommend testing with your specific use case or reaching out for further clarification.
Check out these potentially useful sources: [Finetune Examples](
) , [Conversation Flow Overview](
)