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ControlFlow

4.6 (324 reviews)

Verified Popular

ControlFlow is a Python tool for building smart AI workflows. It helps you create clear tasks for AI agents and combine them into complex processes. You get fine-grained control and transparency over AI decisions, making it easier to build reliable AI applications with confidence.

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Overview Features Screenshots & Demo Use Cases Reviews FAQ Pricing Integrations

What is ControlFlow?

Who It's For

ControlFlow is for Python developers building AI applications. It helps you manage AI agents, break down complex problems, and oversee their work, creating reliable AI systems.

What You Get

You get a Python framework to define clear tasks for AI agents. It allows assigning specialized agents, enabling collaboration, and providing custom tools. Structured results and complex workflows (flows) give you control and transparency over AI actions.

How It Works

ControlFlow breaks AI problems into 'tasks' – small jobs for AI agents. You set up 'agents' with skills and tools, then assign them. For bigger projects, combine tasks into 'flows'. A simple cf.run() function starts a task, customizable with different agents.

Features & Capabilities

⚙️ Core AI Workflow Orchestration

Tasks & Agents

Define discrete, observable tasks and assign specialized AI agents to solve them.

Flows for Complex Workflows

Orchestrate complex behaviors by combining tasks into flows with shared context and history.

Multi-Agent Collaboration

Enable multiple AI agents to work together on a single task for enhanced problem-solving.

💬 AI Output & Interaction

Structured Results

Return AI outputs in structured data types, including Pydantic models, lists, or predefined options.

Custom Tools Integration

Provide agents with any Python function as a tool to extend their capabilities and interact with external systems.

User Interaction

Quickly give agents the ability to chat and interact with users for dynamic and interactive workflows.

💻 Developer Control & Observability

Seamless Python Integration

Blend AI capabilities effortlessly with your existing Python codebase.

Fine-Grained Control

Balance AI automation with precise oversight, maintaining control over your AI workflows.

Workflow Transparency

Gain insights into your AI’s decision-making process with built-in observability.

Screenshots & Demo

See ControlFlow in action with screenshots and video demonstrations

Product Screenshots

ControlFlow

Build intelligent, controllable AI workflows with unprecedented ease.

Ready to see more?

Experience ControlFlow firsthand with a free trial or schedule a personalized demo.

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Real-World Use Cases

Automating Multi-Stage Content Creation with Collaborative AI Agents

Businesses often struggle with generating diverse, high-quality content that requires multiple creative steps and specialized input. ControlFlow enables the orchestration of complex content workflows using collaborative AI agents and structured outputs, allowing for the automated creation of anything from marketing copy to detailed stories, ensuring consistency and adherence to specific formats.

Industry: Marketing, Media & Entertainment, Publishing • User Type: Content Strategists, Marketing Teams, Developers building content platforms

Enhancing Business Process Automation with Intelligent Data Handling

Organizations need to automate routine data processing, classification, and decision-making tasks that often involve unstructured data or require interaction with existing systems. ControlFlow allows developers to build agentic workflows that can ingest various data types, utilize custom Python tools to interact with external services, and output structured, validated results, streamlining operations and reducing manual effort.

Industry: Enterprise Software, Financial Services, IT, Data Analytics • User Type: Data Engineers, Business Analysts, Software Developers, Operations Managers

Building Interactive and Tool-Enhanced AI Assistants

Developing AI assistants or chatbots that can engage in dynamic conversations, remember context, and perform real-world actions through custom tools is a significant challenge. ControlFlow provides the framework to create interactive agents that can chat with users, leverage any Python function as a tool, and maintain conversation history within a flow, enabling the development of sophisticated, functional AI applications.

Industry: Customer Service, SaaS, Software Development • User Type: AI Engineers, Software Developers, Product Managers

Accelerating AI Application Prototyping and Experimentation

Developers and AI researchers need a flexible environment to rapidly prototype and experiment with different AI agent behaviors, LLM configurations, and workflow designs. ControlFlow offers a structured yet agile Python framework that facilitates quick iteration, fine-grained control over AI tasks, and built-in observability, significantly speeding up the development and testing cycles for new AI-powered features.

Industry: Software Development, AI/ML Research & Development • User Type: AI Engineers, Machine Learning Engineers, Software Developers