For Developers

“Being provider-agnostic used to mean maintaining multiple complex integrations. With WorkflowAI, we can seamlessly switch between LLM providers without any extra integration effort or overhead—saving us engineering time and headaches.”

~ Aymeric Beaumet, CTO at M1

Why Software Engineers like WorkflowAI:

Our Python SDK

Stop wasting time maintaining separate integrations for every LLM. WorkflowAI gives you unified, seamless access to all models through a single, clean API.

Structured outputs

WorkflowAI ensures your AI responses always match your defined structure, simplifying integrations, reducing parsing errors, and making your data reliable and ready for use.

Write code only when you want to

WorkflowAI gives you flexibility: quickly prototype new AI features via our intuitive web interface, or dive directly into code whenever you need deeper customization and control.

Proudly open-source

WorkflowAI is fully open-source with flexible deployment options. Run it self-hosted on your own infrastructure for maximum data control, or use the managed WorkflowAI Cloud service for hassle-free updates and automatic scaling.

Model-agnostic

Works with all major AI models including OpenAI, Anthropic, Claude, Google/Gemini, Mistral, DeepSeek, Grok with a unified interface that makes switching between providers seamless.

Streaming supported

Enables real-time streaming of AI responses for low latency applications, with immediate validation of partial outputs

How to get started:

Read our AI Features Playbook to learn how to build your first AI feature in minutes in our web-app, or learn more about our Python SDK to build features programmatically.