> ## Documentation Index
> Fetch the complete documentation index at: https://docs.movoice.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Llm tab

# LLM Tab

The **LLM Tab** allows you to configure the "brain" of your voice AI agent. You can select the provider and specific model that best fits your latency and intelligence requirements.

## Supported LLM Models

### OpenAI (Industry Leader)

* **GPT-4o**: Highly intelligent, multimodal. Best for complex reasoning.
* **GPT-4o-mini**: Specialized for speed and cost-effectiveness. **Recommended for most voice agents.**

### Anthropic (Nuanced Conversation)

* **Claude 3.5 Sonnet**: Excellent at following strict instructions and handling multi-step logic.

### Deepgram/Groq (Lowest Latency)

* **Llama 3.1 (70B/8B)**: Open-source models optimized for inference speed. Best for extremely fast, conversational pacing.

## Key Configurations

### 1. Temperature

Controls the "creativity" or "randomness" of the agent's output.

* **Low (0.0 - 0.3)**: Highly consistent and factual. Recommended for technical support or bank agents.
* **Medium (0.4 - 0.7)**: Balanced. Good for general customer service.
* **High (0.8 - 1.0)**: More varied responses. Good for storytelling or informal chat.

### 2. Max Tokens

Limits the length of the agent's response. Note: Voice AI agents should generally have short responses of 50-100 tokens to keep latency low.

### 3. Context Window

Determines how many previous turns of the conversation the agent remembers. Typically, the last 5-10 turns are sufficient for most tasks.