UiPath Agent Builder

Summary

In this video, Aron introduces the newest feature from UI Path called the Agent Builder, currently in preview. He demonstrates the creation of a weather assistant agent, showcasing how it can provide weather and tourist details for US cities using tools like OpenWeatherMap API and context grounding. Aron highlights the ease of integrating multiple tools and the use of intelligent models like GPT-4 to process data into user-friendly responses. The video also touches on escalation features, testing, and auditing capabilities, offering an insightful look at the potential of UI Path's Agent Builder for automation and AI-driven workflows.

Takeaways

• 😀 UI Path's new Agent Builder feature is currently in preview and offers a tool to create agents with advanced capabilities.
• 😀 The platform provides six templates to help users start building agents, with options for customization and a 'new agent' button for easy creation.
• 😀 The agent model used in the platform is GPT-4, with future plans to incorporate newer models as they become available.
• 😀 The agent’s prompt defines its behavior. For example, Aron created a weather assistant agent that provides weather and tourist information for US cities.
• 😀 Context grounding is an essential feature. The agent can pull relevant information from uploaded documents and custom indices to answer user queries.
• 😀 The platform supports RPA applications, such as OpenWeatherMap API, to fetch live data like weather details and tourist spots.
• 😀 Agents can escalate issues to human workflows if they are unable to find sufficient information to answer a user's query.
• 😀 Users can test agents using the evaluation feature, which helps measure their performance and refine their behavior.
• 😀 The audit log feature provides detailed insights into agent performance, including processing times, tool usage, and call logs.
• 😀 The agent intelligently distinguishes between cities in the US and non-US cities, providing accurate responses based on location-specific queries.
• 😀 UI Path's Agent Builder can integrate with other workflows, allowing agents to be invoked across different processes, with future content planned to cover this functionality.

Q & A

What is the new feature introduced in the video?

The new feature introduced is the 'Agent Builder' in UI Path, which is still in preview.

What is the purpose of the Agent Builder?

The Agent Builder allows users to create and build agents using templates and tools, making it easier to automate tasks and processes.

What kind of templates are available in Agent Builder?

Currently, there are only six templates available in the Agent Builder, which can be used to start building agents.

Which model is being used for the agent in the video?

The agent in the video uses GPT-4, with plans to add newer models as they become available.

What is the first step to create an agent in Agent Builder?

To create an agent, users must click on the 'New Agent' button and start with one of the available templates.

What is the weather assistant agent used for in the demo?

The weather assistant agent provides weather details for cities in the US, along with tourist information.

How does the agent fetch weather data in the demo?

The agent uses the OpenWeatherMap API, an RPA application that fetches weather details, and the results are processed in a user-friendly format.

What is the purpose of the 'context grounding' in the agent?

Context grounding allows the agent to pull additional information from uploaded documents, which is useful for providing relevant responses to queries.

How does the agent handle situations where information is not available?

If the agent cannot find the requested information, it is capable of escalating the request to a human workflow.

What can be tracked during the execution of an agent?

During execution, users can track details such as the kind of tools used, the time taken for the process, and any calls made, which are available in audit reports.