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> [!NOTE]
> Migrates documentation to GitBook and removes the old MkDocs setup.
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> - Removes MkDocs configuration and infra: `docs/mkdocs.yml`,
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## Summary by CodeRabbit
* **Documentation**
* Updated contribution guide for new documentation platform and workflow
* Added new platform overview and navigation documentation
* **Chores**
* Removed MkDocs configuration and related dependencies
* Removed deprecated JavaScript integrations and deployment overrides
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---------
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
86 lines
3.3 KiB
Markdown
86 lines
3.3 KiB
Markdown
# **How to Create an AI Agent as a Block in AutoGPT**
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## **Overview**
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This guide explains how to create a reusable agent block that can be used as a component in other agents.
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<center><iframe width="560" height="315" src="https://www.youtube.com/embed/G5t5wbfomNE?si=dek4KKAPmx8DVOxm" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe></center>
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## **What Are Agent Blocks?**
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Agent blocks are pre-configured, reusable AI workflows that can be used as components within larger automation systems. Think of them as "smart building blocks" - each agent block is itself a complete workflow that can:
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- Accept specific inputs
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- Process data using AI and traditional automation
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- Produce defined outputs
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- Be easily reused in different contexts
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The power of agent blocks lies in their modularity. Once you create an agent with a specific capability (like translating text or analyzing sentiment), you can reuse it as a single block in other workflows. This means you can:
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- Combine multiple agent blocks to create more complex automations
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- Reuse proven workflows without rebuilding them
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- Share agent blocks with other users
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- Create hierarchical systems where specialized agents work together
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For example, a content creation workflow might combine several agent blocks:
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- A research agent block that gathers information
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- A writing agent block that creates the initial draft
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- An editing agent block that polishes the content
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- A formatting agent block that prepares the final output
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## **Creating the Base Agent**
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### **Required Components**
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1. Input Block
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2. AI Text Generator Block
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3. Output Block
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### **Step-by-Step Setup**
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1. **Add and Configure Blocks**
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* Add an Input Block
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* Add an AI Text Generator Block
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* Add an Output Block
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2. **Connect Components**
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* Connect Input's result to AI Text Generator's Prompt
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* Connect AI Text Generator's response to Output's value
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3. **Name the Components**
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* Name the Input Block: "question"
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* Name the Output Block: "answer"
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4. **Save the Agent**
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* Choose a descriptive name (e.g., "Weather Agent")
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* Click Save
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## **Converting to a Block**
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1. **Access the Block Menu**
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* Go to the Builder interface
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* Click the Blocks menu
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* Click the agent tag or search the name of your agent
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2. **Using the Agent Block**
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* Click on the agent block to add to your workflow
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* Save the new agent with a descriptive name (e.g., "Weather Agent")
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## **Testing the Agent Block**
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1. **Run the Agent**
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* Enter a test question (e.g., "How far is the Earth from the Moon?")
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* Click Run
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2. **View Results**
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* Option 1: Check "Agent Outputs" section*
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* Option 2: Click "View More" for detailed results
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*Note: if there is no output block then the "Agent Outputs" button will show up blank. You can see the output under view more or at bottom of the block.
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## **Advanced Usage**
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* You can make more complex agents by combining multiple agent blocks
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* Chain different agents together for more sophisticated workflows
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## **Note**
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This is a basic example that can be expanded upon to create more complex agent blocks with additional functionality. |