Generator

Generator Component Overview

The Generator component is designed to create text responses using a user-provided prompt and a selected Large Language Model (LLM). It is a central part of AI workflows where natural language generation or augmentation is required.

What Does the Generator Do?

This component takes an input prompt (text) and optionally images or a system message, then sends these inputs to a chosen LLM to generate a relevant text-based output. It is versatile and can be used for automating content creation, generating conversational replies, or enriching data with AI-generated language.

Inputs

The Generator component accepts the following inputs:

• Input is the primary text prompt you want the model to respond to.
• LLM lets you choose which large language model to use for generation.
• Images can provide additional context if the model supports multimodal inputs.
• System Message is an advanced feature for setting model behavior, such as tone or role.

Outputs

The Generator component produces:

The output is a text-based message, ready for use in subsequent workflow steps, UI display, or further processing.

Why Use the Generator Component?

• Flexible AI Text Generation: Easily generate natural language responses, explanations, summaries, or creative content.
• Multimodal Context: Optionally include images as part of the input, enabling use with advanced multimodal models.
• Customizable Behavior: Use the system message to control model tone, persona, or instructions.
• Workflow Integration: Designed to fit seamlessly into larger AI workflows, passing outputs as messages for further action.

Typical Use Cases

• Conversational AI (chatbots, assistants)
• Automated content or email generation
• Summarization or paraphrasing tasks
• AI-powered data enrichment
• Multimodal interpretation (if images provided and supported by the model)

Summary Table

The Generator component is a foundational building block for workflows that require dynamic, AI-generated text, offering flexibility and configurability for a wide range of applications.