index

Blocks are the building components you connect together to create AI workflows. Think of them as specialized modules that each handle a specific task—from chatting with AI models to making API calls or processing data.

Core Block Types

Agent Forge provides seven core block types that handle the essential functions of AI workflows:

Processing Blocks

• Agent — Chat with AI models (OpenAI, Anthropic, Google, local models)

• Function — Run custom JavaScript/TypeScript code

• API — Connect to external services via HTTP requests

Logic Blocks

• Condition — Branch workflow paths based on boolean expressions

• Router — Use AI to intelligently route requests to different paths

• Evaluator — Score and assess content quality using AI

Output Blocks

• Response — Format and return final results from your workflow

How Blocks Work

Each block has three main components:

• Inputs: Data coming into the block from other blocks or user input

• Configuration: Settings that control how the block behaves

• Outputs: Data the block produces for other blocks to use

1

Receive Input

Block receives data from connected blocks or user input

2

Process

Block processes the input according to its configuration

3

Output Results

Block produces output data for the next blocks in the workflow

Connecting Blocks

You create workflows by connecting blocks together. The output of one block becomes the input of another:

• Drag to connect: Drag from an output port to an input port

• Multiple connections: One output can connect to multiple inputs

• Branching paths: Some blocks can route to different paths based on conditions

Common Patterns

Sequential Processing

Connect blocks in a chain where each block processes the output of the previous one:

User Input → Agent → Function → Response

Conditional Branching

Use Condition or Router blocks to create different paths:

User Input → Router → Agent A (for questions)
                   → Agent B (for commands)

Quality Control

Use Evaluator blocks to assess and filter outputs:

Agent → Evaluator → Condition → Response (if good)
                              → Agent (retry if bad)

Block Configuration

Each block type has specific configuration options:

All Blocks:

• Input/output connections

• Error handling behavior

• Execution timeout settings

AI Blocks (Agent, Router, Evaluator):

• Model selection (OpenAI, Anthropic, Google, local)

• API keys and authentication

• Temperature and other model parameters

• System prompts and instructions

Logic Blocks (Condition, Function):

• Custom expressions or code

• Variable references

• Execution environment settings

Integration Blocks (API, Response):

• Endpoint configuration

• Headers and authentication

• Request/response formatting

Title

Agent Block Connect to AI models and create intelligent responses

Target

file:///blocks/agent

Title

Function Block Run custom code to process and transform data

Target

file:///blocks/function

Title

API Block Integrate with external services and APIs

Target

file:///blocks/api

Title

Condition Block Create branching logic based on data evaluation

Target

file:///blocks/condition