ControlFlow

Python framework for structured AI workflows.

PRICING STARTS

$

0

/ Month

INDUSTRY

Technology

PRICING TYPE

Free

ABOUT

ControlFlow is an open-source Python framework designed to build agentic AI workflows by integrating Large Language Models (LLMs) into structured, task-based processes. Developed by Prefect, ControlFlow enables developers to define discrete tasks, assign specialized AI agents, and orchestrate complex behaviors within a controlled and transparent environment.

USE CASES

Automated Content Generation: Develop workflows where AI agents generate content such as articles, reports, or creative writing pieces, ensuring consistency and adherence to predefined structures.

Data Analysis Pipelines: Create workflows that delegate data processing and analysis tasks to AI agents, facilitating efficient handling of large datasets and complex analytical processes.

Customer Support Automation: Implement AI-driven workflows to manage customer inquiries, route issues to appropriate agents, and provide automated responses, enhancing support efficiency.

CORE FEATURES

Task-Centric Design: Allows the creation of discrete, observable tasks that can be assigned to specialized AI agents, providing fine-grained control over AI operations.

Agent Configuration: Enables the definition of configurable AI entities, each with its own identity, capabilities, and personality, acting as autonomous workers within workflows.

Flow Orchestration: Combines tasks into flows to orchestrate complex behaviors, allowing for the construction of sophisticated AI-powered applications.

Streaming and Handlers: Provides mechanisms to process events during task execution in real-time, either through streaming or by registering callback functions, enhancing interactivity and responsiveness.



CATEGORY

AI Agents Framework

USEFUL FOR

Software Engineers