waldiez 0.4.7

Make AG2 Agents Collaborate: Drag, Drop, and Orchestrate with Waldiez.

Waldiez

Make AG2 Agents Collaborate: Drag, Drop, and Orchestrate with Waldiez

Design AI Agents and translate a Waldiez flow to AG2:

https://github.com/user-attachments/assets/71d4b8d1-a24b-45ab-ab53-dfc193e8fcaa

To a python script or a jupyter notebook with the corresponding ag2 agents and chats.

Features

• Convert .waldiez flows to .py or .ipynb
• Run a .waldiez flow
• Store the runtime logs of a flow to csv for further analysis

Installation

Python

On PyPI:

python -m pip install waldiez

From the repository:

python -m pip install git+https://github.com/waldiez/waldiez.git

React Component

If you’re looking for the React component, please refer to README.npm.

Note: The React component is only for creating and editing flows — it is not needed to convert or run flows (that functionality is handled by the Python package).

Quick install:

npm install @waldiez/react
# or
yarn add @waldiez/react
# or
pnpm add @waldiez/react
# or
bun add @waldiez/react

Usage

UI Options

• For creating-only (no exporting or running) waldiez flows, you can use the playground at https://waldiez.github.io.
• There is also a jupyterlab extension here
• You also can use the vscode extension:
  • repo
  • marketplace
• Finally, you can use waldiez-studio, which includes a FastAPI app to handle the conversion and running of waldiez flows.

The jupyterlab extension and waldiez studio are also provided as extras in the main package.

pip install waldiez[studio]  # or pip install waldiez_studio
pip install waldiez[jupyter]  # or pip install waldiez_jupyter
# or both
pip install waldiez[studio,jupyter]

CLI

# Convert a Waldiez flow to a python script or a jupyter notebook
waldiez convert --file /path/to/a/flow.waldiez --output /path/to/an/output/flow[.py|.ipynb]
# Convert and run the script, optionally force generation if the output file already exists
waldiez run --file /path/to/a/flow.waldiez --output /path/to/an/output/flow[.py] [--force]

Using docker/podman

CONTAINER_COMMAND=docker # or podman
# pull the image
$CONTAINER_COMMAND pull waldiez/waldiez
# Convert a Waldiez flow to a python script or a jupyter notebook
$CONTAINER_COMMAND run \
  --rm \
  -v /path/to/a/flow.waldiez:/flow.waldiez \
  -v /path/to/an/output:/output \
  waldiez/waldiez convert --file /flow.waldiez --output /output/flow[.py|.ipynb] [--force]

# with selinux and/or podman, you might get permission (or file not found) errors, so you can try:
$CONTAINER_COMMAND run \
  --rm \
  -v /path/to/a/flow.waldiez:/flow.waldiez \
  -v /path/to/an/output:/output \
  --userns=keep-id \
  --security-opt label=disable \
  waldiez/waldiez convert --file /flow.waldiez --output /output/flow[.py|.ipynb] [--force]

# Convert and run the script
$CONTAINER_COMMAND run \
  --rm \
  -v /path/to/a/flow.waldiez:/flow.waldiez \
  -v /path/to/an/output:/output \
  waldiez/waldiez run --file /flow.waldiez --output /output/output[.py]

As a library

Export a flow

# Export a Waldiez flow to a python script or a jupyter notebook
from waldiez import WaldiezExporter
flow_path = "/path/to/a/flow.waldiez"
output_path = "/path/to/an/output.py"  # or .ipynb
exporter = WaldiezExporter.load(flow_path)
exporter.export(output_path)

Run a flow

# Run a flow
from waldiez import WaldiezRunner
flow_path = "/path/to/a/flow.waldiez"
output_path = "/path/to/an/output.py"
runner = WaldiezRunner.load(flow_path)
runner.run(output_path=output_path)

Tools

• ag2 (formerly AutoGen)
• juptytext
• pydantic
• typer
• asyncer

Known Conflicts

• autogen-agentchat: This package conflicts with ag2. Ensure that autogen-agentchat is uninstalled before installing waldiez. If you have already installed autogen-agentchat, you can uninstall it with the following command:

  pip uninstall autogen-agentchat -y
  

  If already installed waldiez you might need to reinstall it after uninstalling autogen-agentchat:

  pip install --force --no-cache waldiez ag2
  

See also

• Waldiez Playground
• React Component
• Waldiez Studio
• Waldiez JupyterLab Extension
• Waldiez VSCode Extension

Contributors ✨

Thanks goes to these wonderful people (emoji key):

Panagiotis Kasnesis 📆 🔬	Stella Ioannidou 📣 🎨	Lazaros Toumanidis 💻	Amalia Contiero 💻 🐛
Add your contributions

This project follows the all-contributors specification. Contributions of any kind welcome!

License

This project is licensed under the Apache License, Version 2.0 (Apache-2.0).