Agentic Workflow Engine
Project Overview
Situation
Developers needed a way to orchestrate complex AI tasks.
Task
Build a flexible engine to chain prompt executions.
Action
Developed a graph-based execution model using Python.
Result
Reduced workflow setup time by 40% for internal teams.
Deep Dive
The Agentic Workflow Engine is a sophisticated orchestration tool designed to manage complex dependency graphs for AI tasks.
Traditionally, chaining multiple LLM calls involved brittle scripts and error-prone state management. This engine allows developers to define intents and dependencies in a declarative manner.
Key features include:
- Directed Acyclic Graph (DAG) execution for tasks.
- Automatic retries and error handling.
- Real-time visualization of the workflow state using React Flow.
- Extensible node types for custom tool integration.