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Text allows developers lots for flexibility to do other processing, including RAG, calling APIs yourself and multiple chained LLM invocations. The low latency of realtime API means relying fully on one invocation of their model to do everything.


The realtime API can be used to call tools [0], but I agree with your general point on the flexibility of working directly with text.

[0] https://github.com/openai/openai-realtime-agents




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