FieldWorkArena

Overview

The introduction of AI agents is being considered to address the challenges faced by many workplaces, such as the aging of the population, lack of human resources, and delays in decision-making. In order to improve the functionality of AI agents, we have developed and provided a benchmark suite to evaluate AI agents by extending the evaluation method of web operations to field operations.

FieldWorkArena is a groundbreaking benchmark suite for evaluating AI agents. By using data and tasks from Fujitsu's actual factories and warehouses, we quantitatively evaluate how effectively AI agents work in the field. This clarifies the challenges of AI adoption and ensures evidence when applied in the field.

See below for more details.
https://en-documents.research.global.fujitsu.com/fieldworkarena/

Update

• 2025-06-30: The Retail dataset has been released on Hugging Face. If you would like to obtain it, please apply here.
• 2025-06-30: The Warehouse dataset has been released on Hugging Face. If you would like to obtain it, please apply here.
• 2025-02-27: The Factory dataset has been released on Hugging Face.

Getting Started

The current reporting functionality of FieldWorkArena utilizes Browsergym and WorkArena. Therefore, it is necessary to use ServiceNow instance in this implementation.
In the future, the implementation may change in line with modification to the action space and task definitions.

Create ServiceNow Instance

1. Go to https://developer.servicenow.com/ and create an account.
2. Click on Request an instance and select the Washington release (initializing the instance will take a few minutes), If you can't select release, once you request an instance for default release, do Release instance and click Request an instance again.
3. Once the instance is ready, you should see your instance URL and credentials. If not, click Return to the Developer Portal, then navigate to Manage instance password and click Reset instance password.
4. You should now see your URL and credentials. Based on this information, set the following environment variables:
   • SNOW_INSTANCE_URL: The URL of your ServiceNow developer instance
   • SNOW_INSTANCE_UNAME: The username, should be "admin"
   • SNOW_INSTANCE_PWD: The password, make sure you place the value in quotes "" and be mindful of escaping special shell characters. Running echo $SNOW_INSTANCE_PWD should print the correct password.
5. Log into your instance via a browser using the admin credentials. Close any popup that appears on the main screen (e.g., agreeing to analytics).

Warning: Feel free to look around the platform, but please make sure you revert any changes (e.g., changes to list views, pinning some menus, etc.) as these changes will be persistent and affect the benchmarking process.

Install FieldWorkArena and Initialize your instance

git clone https://github.com/FujitsuResearch/FieldWorkArena.git
cd FieldWorkArena
pip install -r requirements.txt
pip install .

Then, install Playwright

playwright install

Finally, run this command in a terminal to upload the benchmark data to your ServiceNow instance:

workarena-install

Download dataset

1. Go to https://en-documents.research.global.fujitsu.com/fieldworkarena/ .
2. Click link on Evaluation dataset and apply from Forms page,
3. Confirm the download URL in email sent from FieldWorkArena. (It may take a few business days.)
4. Unzip downloaded file. The files should be organized in the following directory structure:

FieldWorkArena \
├── ...\
├── data\
│   ├── document \
│   ├── image\
│   └── movie\
└── ...

Use Sample Agent

OpenAI API setting (for demo agent)

set environment variable

• OPENAI_API_KEY=You OpenAI API key

Demo

To run the demo, Xserver environment is required.

In these demos, the tasks is to search for incidents in the image according to the query and to report any incidents found.

python demo/run_demo.py --task_name fieldworkarena.demo.1.report 
python demo/run_demo.py --task_name fieldworkarena.demo.2.report 
python demo/run_demo.py --task_name fieldworkarena.demo.3.report 
python demo/run_demo.py --task_name fieldworkarena.demo.4.report 

Benchmark

Run the following script, the results will be saved in the results directory.

Linux

All tasks

bash run_tasks.sh all

Each tasks

# for factory
bash run_tasks.sh factory   

# for warehouse
bash run_tasks.sh warehouse

# for retail
bash run_tasks.sh retail    

Windows

All tasks

.\run_all_tasks.bat all

Each tasks

# for factory
.\run_tasks.bat factory

# for warehouse
.\run_tasks.bat warehouse

# for retail
.\run_tasks.bat retail

Test Your Agent

Edit Agent

Agent is defined in 'demo/agent.py'. For testing your agent, you should mainly modify 'get_action()' method.

<span style="color: red; ">Attention!!</span>

After you added your own agents and scenarios, Plase call pip install . .

Submit Your Result

Compress the results directory and reply it to the email address with the download URL of the evaluation data .

Inquiries and Support

To submit an inquiry, please follow these steps:

1. Visit our page
2. Click the "Inquiry" button on the bottom.
3. Fill out the form completely and accurately.

It may take a few business days to reply.

Acknowledment

This implementation was created with reference to the source code for WorkArena, developed by ServiceNow Research.

• github: https://github.com/ServiceNow/WorkArena
• arxiv:
  • WorkArena
  • WorkArena++

Trouble shooting

When the browser launched and the proxy auth dialog blocks the startup, please install chrome extension "Proxy Helper". After that, fill PAC URL and your account/password.

https://chromewebstore.google.com/detail/%E3%83%97%E3%83%AD%E3%82%AD%E3%82%B7%E3%83%BC%E3%83%98%E3%83%AB%E3%83%91%E3%83%BC/mnloefcpaepkpmhaoipjkpikbnkmbnic?hl=ja&pli=1