How does the workflow resume after user interaction?

The system uses an 'isEntry' flag and specific dispatch logic to differentiate between the first time a node is reached and when it receives user data to continue execution.

What is an interactive node in a FastGPT workflow?

An interactive node is a specialized workflow component that pauses execution to wait for user input, such as filling out a form or making a selection, before continuing the process.

Does this skill provide frontend code examples?

Yes, it includes detailed templates for React components used in both the user chat interface and the administrative workflow editor.

Can I use these nodes for tool-calling scenarios?

Absolutely. The guide includes instructions on marking nodes as tools (isTool: true) so they can be integrated into LLM tool-calling sequences.

FastGPT Interactive Workflow Node Developer

Name: FastGPT Interactive Workflow Node Developer
Author: Activer007

byActiver007

Productivity & Workflow

Guides the development of interactive response nodes in FastGPT workflows by providing standardized architecture and implementation patterns.

About

This skill provides a comprehensive framework for creating custom interactive nodes within FastGPT workflows, enabling processes to pause and wait for user input. It guides developers through the entire implementation lifecycle, including defining core TypeScript types, implementing backend dispatch logic, creating responsive frontend components with React and Chakra UI, and managing complex workflow states like history rewriting and entry flag persistence. It is essential for developers looking to build sophisticated human-in-the-loop AI applications.

Key Features

Frontend component templates for both chat interfaces and workflow editors
Comprehensive state management for 'isEntry' flags and history tracking
Support for internationalization (i18n) and custom UI rendering
Standardized interactive node architecture and type definitions
Step-by-step backend dispatch logic implementation for multi-phase execution
0 GitHub stars

Use Cases

Implementing human-in-the-loop validation steps for complex LLM processes
Building custom multi-field forms for data collection within an AI agent's workflow
Creating specialized selection menus for interactive decision-making branches

About

Key Features

Frontend component templates for both chat interfaces and workflow editors
Comprehensive state management for 'isEntry' flags and history tracking
Support for internationalization (i18n) and custom UI rendering
Standardized interactive node architecture and type definitions
Step-by-step backend dispatch logic implementation for multi-phase execution
0 GitHub stars

Use Cases

Implementing human-in-the-loop validation steps for complex LLM processes
Building custom multi-field forms for data collection within an AI agent's workflow
Creating specialized selection menus for interactive decision-making branches