### Answer Temperature recommendations depend on your use case [(1) ]() : For function calling and data collection (appointment booking, technical support) : Use 0.0 - 0.3 for highly consistent, deterministic responses . **For general customer service and sales calls**: Use 0.3 - 0.7 for balanced consistency and variation . **For creative or casual conversation**: Use 0.7 - 1.0 for more varied, human-like responses . Specific recommendations by use case : - **Appointment Booking**: 0.1-0.3 for accurate data capture - **Customer Support**: 0.3-0.5 for consistent yet natural responses - **Sales Outreach**: 0.5-0.7 for engaging but focused conversations - **Virtual Companion**: 0.7-0.9 for more human-like variation The default temperature is 0 if unset, and for tool calling, a lower value is recommended [(2) ]() [(3) ]() [(4) ]() .

​ To learn more, see the sources I considered: [[1] Configure LLM Options](https://docs.retellai.com/build/llm-options) [[2] Get Retell LLM](https://docs.retellai.com/api-references/get-retell-llm) [[3] Update Retell LLM](https://docs.retellai.com/api-references/update-retell-llm) [[4] Create Retell LLM](https://docs.retellai.com/api-references/create-retell-llm) ​

Feel free to tag @AI Evy with additional questions. I also appreciate feedback, it helps me improve.