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

# Agent Settings

> Agent Settings define the complete behavioral, cognitive, and operational configuration of an Agent. <br /> Each parameter directly affects how the Agent interprets inputs, reasons about context, and executes actions using connected MCPs, Tools, and Workflows. <br /> <br /> This section details every configurable field available in the Agent Builder interface.

Cada agente possui um conjunto de configurações que você acessa clicando no agente na lista e navegando pelas abas disponíveis. Alterações entram em vigor imediatamente para novas conversas — conversas já abertas não são afetadas.

## Summary

| Section                                                | Description                                            |
| ------------------------------------------------------ | ------------------------------------------------------ |
| [Model Selection](/guides/agents/settings/model)       | Defines the LLM provider and model used for reasoning. |
| [Role](/guides/agents/settings/internal-name)          | Establishes the Agent’s identity and purpose.          |
| [Prompt](/guides/agents/settings/role)                 | Configures tone, logic, and communication rules.       |
| [Temperature](/guides/agents/settings/prompt)          | Controls creativity vs. consistency.                   |
| [Effort](/guides/agents/settings/temperature)          | Determines reasoning depth and iteration count.        |
| [Planning](/guides/agents/settings/effort)             | Enables task decomposition and multi-step execution.   |
| [Supervision](/guides/agents/settings/capacities)      | Allows iterative validation and self-correction.       |
| [Tasks](/guides/agents/settings/conditional-prompts)   | BAdds conditional automated behaviors.                 |
| [Internal Chat](/guides/agents/settings/internal-chat) | Interactive space for testing and fine-tuning.         |
