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Create Agent with Agent

Let Agents design and create other Agents through natural conversation.

Overview

Instead of manually configuring Agents, use the Agent Creator built-in tool to have Agents help you design specialized Agents through guided conversation.

Capability Description
Conversational Design Agent asks questions to understand your needs
Smart Recommendations Suggests models, tools, and configurations
Learn from Examples Export existing Agents to study successful patterns
Iterative Refinement Adjust designs based on your feedback

How It Works

graph LR
    User[You describe needs] --> Agent[Agent Creator]
    Agent --> Questions[Asks clarifying questions]
    Questions --> Design[Designs configuration]
    Design --> Review[You review & feedback]
    Review --> Refine{Satisfied?}
    Refine -->|No| Design
    Refine -->|Yes| Register[Agent registered]

Typical conversation:

  1. You: "I need an Agent to review Python code"
  2. Agent asks about: code style focus, security checks, which model to use
  3. Agent designs configuration and creates draft file
  4. You review and suggest changes
  5. Agent refines until you approve
  6. Agent registers new code reviewer to system

Why Use Agent Creator

Without Agent Creator With Agent Creator
Learn technical configuration format Natural conversation
Look up parameter meanings Agent explains options
Guess appropriate settings Agent recommends based on needs
Start from scratch Learn from existing Agents

Quick Example

You: "Create an Agent for data analysis"

Agent Creator: - Asks about data types, analysis methods, output format - Gets design specification - Suggests models and tools (file tools, memory tools) - Creates agent/data_analyst.json configuration - Waits for your approval - Registers Agent when you're satisfied

Full details: Agent Creator Tool

Related: - Agent Configuration - Understand Agent parameters - Built-in Tools - All available system tools