
Advanced AI Blog Post Generator
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The Generator component uses a selected LLM model to generate text based on prompts, optional system messages, and images—ideal for creating dynamic chatbot replies.
Component description
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.
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.
The Generator component accepts the following inputs:
Input Name | Type | Description | Required | Advanced |
---|---|---|---|---|
Input | Message (text) | The main prompt or message to send to the LLM. | No | No |
LLM | Model (BaseChatModel) | The language model used for text generation. | No | No |
Images | FlowSessionAttachmentResponse | Optional images to include as context for the model. | No | No |
System Message | String (multiline text) | An optional system-level instruction for the model (advanced). | No | Yes |
The Generator component produces:
Output Name | Type | Description |
---|---|---|
Message Output | Message | The generated text from the LLM |
The output is a text-based message, ready for use in subsequent workflow steps, UI display, or further processing.
Feature | Supported? |
---|---|
Text input | Yes |
Image input | Optional |
LLM selection | Yes |
System instructions | Optional |
Text output | Yes |
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.
To help you get started quickly, we have prepared several example flow templates that demonstrate how to use the Generator component effectively. These templates showcase different use cases and best practices, making it easier for you to understand and implement the component in your own projects.
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The Generator component creates text by sending a user prompt, optional system message, and images to a chosen large language model (LLM), returning a dynamic AI-generated message.
Yes, you can select from available LLM models to power your text generation, allowing flexibility and customization in your workflow.
Yes, you can include images to enhance the input context for the model, enabling richer and more informed AI responses.
No, system messages are optional and can be used to guide the model’s behavior or tone when needed.
It acts as the core logic engine, transforming user inputs and contextual data into intelligent, AI-generated replies within your chatbot or automation flow.
Start building smarter chatbots and automation flows with the Generator component—harness the power of advanced AI text generation.
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