Agent Settings

Agent Settings define the complete behavioral, cognitive, and operational configuration of an Agent. Each parameter directly affects how the Agent interprets inputs, reasons about context, and executes actions using connected MCPs, Tools, and Workflows.

This section details every configurable field available in the Agent Builder interface.


Summary

Section
Description

Model Selection

Defines the LLM provider and model used for reasoning.

Role

Establishes the Agent’s identity and purpose.

Prompt

Configures tone, logic, and communication rules.

Temperature

Controls creativity vs. consistency.

Effort

Determines reasoning depth and iteration count.

Planning

Enables task decomposition and multi-step execution.

Supervision

Allows iterative validation and self-correction.

Tasks

Adds conditional automated behaviors.

Internal Chat

Interactive space for testing and fine-tuning.

Together, these settings define how each Agent thinks, decides, and acts inside the Endless ecosystem.

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