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When a Guava agent is asked a question that it cannot answer from its context alone, it will invoke the on_question callback. Your Expert then has the chance to answer that question, typically using a RAG system. Our examples use the provided DocumentQA class, but you can use any RAG system you prefer.See our Q&A example for a step-by-step walkthrough.
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If you want the agent to answer questions immediately, use add_info to pre-emptively add information to the context.
  • on_question, like all Guava callbacks, is invoked asynchronously and does not block dialog. The Guava voice agent continues to engage the caller until the question answer comes back.
  • on_question may be invoked multiple times, for example, if a caller asks a question and then refines it. on_question may be invoked speculatively before a caller is done talking.
  • on_question may be invoked simultaneously with on_action_request, as some requests can be both an “action” and a “question”. For example, “Do you have a lost and found?” In this case, the agent will synthesize both responses: “Yes, we have a lost and found. Would you like me to transfer you there?”

Example

support_controller.py