ManualTrigger Automate

ManualTrigger Automate simplifies the process of generating random colors while excluding specified options. By integrating with LangChain, it allows users to trigger workflows manually and receive AI-generated responses based on chat inputs, enhancing user interaction and creativity.

7/8/2025
6 nodes
Simple
manualsimplelangchain
Categories:
Manual TriggeredSimple Workflow
Integrations:
LangChain

Target Audience

This workflow is ideal for:
- Developers looking to integrate AI capabilities into their applications without complex setups.
- Data Scientists who want to automate the generation of random outputs based on specific criteria.
- Businesses that need to provide dynamic responses in chat applications, enhancing user engagement.
- Hobbyists interested in experimenting with AI and automation in creative projects.

Problem Solved

This workflow addresses the challenge of generating random color selections while excluding specific colors based on user input. By automating this process, it saves time and reduces manual effort, allowing users to focus on other essential tasks. The integration with LangChain enhances the interaction capabilities, making it suitable for chat applications that require dynamic responses.

Workflow Steps

  • Manual Trigger: The workflow begins when the user clicks the ‘Test workflow’ button to initiate the process.
    2. Debug Input: A predefined string is set as the input, instructing the AI to return a random color but explicitly excluding green and blue.
    3. AI Agent: The input is processed by the AI Agent, which prepares the query for the next step.
    4. OpenAI Chat Model: The AI Agent interacts with the OpenAI Chat Model, using the specified AI model (gpt-4o-mini) to generate responses based on the input query.
    5. Code Tool: The output from the AI is passed to a custom JavaScript tool designed to select a random color from a predefined list, excluding the colors specified in the input.
    6. Final Output: The workflow returns a random color that meets the criteria set by the user, enhancing interactive chat experiences.

    • Customization Guide

    To customize this workflow:
    - Change Input Criteria: Modify the chatInput value in the Debug Input node to specify different colors to exclude.
    - Adjust Color List: Update the colors array in the Code Tool node to include or exclude colors as needed.
    - Modify AI Model: Experiment with different AI models by changing the model parameter in the OpenAI Chat Model node.
    - Enhance Prompt Type: Alter the promptType in the AI Agent node to change how the AI interprets the input, tailoring responses to specific needs.
    - Add More Nodes: Integrate additional nodes for further processing or to connect with other applications and services.