End of Turn Detection for smoother AI agent chats with Telegram and Gemini

This n8n template demonstrates one approach to achieve a more natural and less frustration conversations with AI agents by reducing interrupts by predicting the end of user utterances. When we text or chat casually, it's not uncommon to break our sentences over multiple messages or when it comes to voice, break our speech with the odd pause or umms and ahhs. If an agent replies to every message, it's likely to interrupt us before we finish our thoughts and it can get very annoying! Previously, I demonstrated a simple technique for buffering each incoming message by 5 seconds but that approach still suffers in some scenarios when more time is needed. This technique has no arbitrary time limit

Help me set up the n8n workflow "End of Turn Detection for smoother AI agent chats with Telegram and Gemini" (https://n8n.io/workflows/5014). It uses: HTTP Request, Redis, Telegram, AI Agent, Redis Chat Memory, Google Gemini Chat Model, Text Classifier. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.