Automateo: LLM Prompt Chain Builder
  • Welcome to Automateo
  • Getting Started
  • Building Workflows
  • Node Types
  • Triggering Workflows
  • Running and Debugging
  • Testing Workflows from Outside Automateo
  • Output Options
  • LLM Node Configuration
  • Execution History
  • API Keys and Authentication
  • Pricing and Usage
  • Implementing Automateo Workflows in Your Applications
Powered by GitBook
On this page

LLM Node Configuration

LLM (Language Model) nodes are the core of Automateo's functionality. Here's how to configure them:

  1. Prompt Templates

    • Use "{variable}" syntax to reference outputs from previous nodes

    • Example: "Summarize the following text: {input_text}"

  2. Model Selection

    • Choose from various LLM models:

      • ChatGPT 3

      • ChatGPT 4

      • Mixtral

      • LLaMA

      • (Other available models)

  3. Output Format

    • Specify the desired output format:

      • Text: For general text output

      • Markdown: For formatted text

      • JSON schema: For structured data output

Remember to test your LLM nodes with sample inputs to ensure they produce the expected outputs before integrating them into your production workflows.

PreviousOutput OptionsNextExecution History

Last updated 10 months ago