Overview

Invoke a language model (LLM) to generate text based on input instructions, enabling creative and dynamic text outputs.

Use Cases

  • Content Generation: Draft blog posts, social media captions, or email templates.
  • Summarization: Generate concise summaries of complex documents.
  • Customer Support: Create personalized responses or FAQs.

Configuration Fields

LLM Engine

  • Description: Select the language model to use for generating text.
  • Options: Auto Optimized, GPT-4o, Claude Opus, Gemini 2.0 Flash, and more.
  • Example: “GPT-4o” for detailed responses or “Claude Opus” for creative writing.
  • Required: Yes

Instructions

  • Description: Enter detailed instructions for the language model.
  • Example: “Write a summary of this document” or “Generate a persuasive email.”
  • Required: Yes

Output Variable Name

  • Description: Assign a variable name to store the generated text.
  • Example: “llm_output” or “ai_generated_text.”
  • Validation: Only letters, numbers, and underscores (_) are allowed.
  • Required: Yes