DEV Community

Cover image for AG-2 in Practice #7 – Getting Started with AG2 Studio (No-Code Agent Workflows)
Daniel Azevedo
Daniel Azevedo

Posted on

AG-2 in Practice #7 – Getting Started with AG2 Studio (No-Code Agent Workflows)

#ag2 #ai

Welcome back!

By now, you’ve built agents, patterns, tools, and even human-in-the-loop setups — all using code. But did you know AG-2 also includes a visual no-code interface called AG2 Studio?

In this post, you’ll learn:

  • What AG2 Studio is
  • How to install and launch it
  • What you can build and test visually
  • Tips for combining Studio + Python for hybrid workflows

Let’s jump in!

What Is AG2 Studio?

AG2 Studio is a web-based GUI (Graphical User Interface) for working with AG-2:

  • Create and manage agents
  • Add tools (like APIs, calculators, code runners)
  • Build and visualize agent workflows (patterns)
  • Run conversations live
  • Debug step-by-step
  • Reuse and export logic to Python

It’s perfect for:

  • Designers, researchers, and PMs exploring agent ideas
  • Developers prototyping quickly
  • Debugging workflows before scaling
  • Teaching LLM architectures

Step 1: Install AG2 Studio

If you haven’t already:

pip install ag2[studio]
Enter fullscreen mode Exit fullscreen mode

Then launch the Studio:

ag2 studio
Enter fullscreen mode Exit fullscreen mode

By default, it opens at http://localhost:3000

Step 2: Explore the Interface

You’ll find:

  • Agent Builder – define system messages, LLM settings, roles
  • Tool Connector – add APIs, Python functions, file access
  • Workflow Editor – drag-and-drop patterns or create your own
  • Conversation View – run conversations live
  • Debug Panel – step through interactions, inspect logs, rerun

Step 3: Build a Visual Agent Pipeline

Try recreating the flow from Lesson #3:

  • Agent 1: Researcher
  • Agent 2: Writer
  • Flow: Researcher → Writer → Human

You can drag agents into a linear flow, assign tools, and even add human approval steps right in the UI — all without writing Python.

Once it works, you can export it as a .py file or deploy it directly!

Step 4: Hybrid Workflows (Code + Studio)

AG2 supports hybrid setups where:

  • You prototype in Studio, then export to code
  • Or, you write patterns in code, then visualize in Studio

This flexibility makes AG2 great for teams with both technical and non-technical members.

Bonus: Studio Tips

  • Use “Preview Mode” to test LLM outputs with example prompts
  • Add custom tools (Python/REST) from the Tool tab
  • Use versioning to manage experiments
  • Hit “Export to Code” to integrate with your Python stack

What’s Next?

In Lesson #8, we’ll cover:

  • Real-world deployment of AG-2 systems
  • Connecting AG-2 to web apps, APIs, CRON jobs
  • Securing, scaling, and monitoring agent systems

Keep coding

Top comments (0)