I have been working with automation for quite some time and recently started creating voice agents on Vapi and Retell. Overall, everything is going well, but I often encounter situations where Vapi's conversation simply stops for some reason (sometimes the transcriber cannot identify what the user said, nothing is sent to the model, or the websocket breaks).
For this reason, I am increasingly interested in delving deeper into the development of such agents using hardcode, and here are the questions I am interested in. Please let me know if you have any answers:
1. Can I use hardcode to identify that there is silence on the line for, say, 10 seconds, and force the LLM to generate an engaging message and play it back to bring the user back into the dialogue?
2. I am interested in DSPy technology and wonder if it can be implemented for voice agents on Vapi?
So far, I haven't written a single assistant in code and am just getting ready to seriously start working on it, so there are many things I don't understand yet.