LLM Configuration Guide
Understand the available LLM models, their capabilities, and language settings.
Large Language Model
The LLM dropdown allows you to select the LLM that will power your agent. Different models have varying capabilities in terms of reasoning, response generation, and efficiency.
Available Models
Model Name | Description |
---|---|
Electron-v2 | Significantly faster than v1, offering improved efficiency and response times. More robust, with improved agent’s navigation through flow. Drop-in replacement for v1, ensuring seamless migration. Features architectural improvements over v1 for better performance and reliability. |
Electron-v1 | Our First-generation small language model (SLM). Trained specifically for conversational tasks, optimized for dialogue-based interactions. |
Language
The Language setting allows you to choose the primary language in which the agent will operate. The selected language influences text generation and response quality.
Language Switching
The Language Switching option enables or disables the ability for the agent to dynamically switch between multiple languages during interactions.
Example
If the agent greets the user in English by saying, “Hello! How can I assist you today?”, and the user responds in Hindi with “मुझे मौसम की जानकारी चाहिए” (I need weather information), the agent will recognize the language shift and continue responding in Hindi.