Microsoft Azure OpenAI Activity Package

Boost your UiPath automation using the Microsoft Azure OpenAI activity package. Enable secure AI-powered workflows via the UiPath Connector for Azure OpenAI.

The Microsoft Azure OpenAI activity package allows Integration Service customers to connect to the Azure OpenAI system, enabling the creation of advanced automation workflows powered by AI.

How It Works

To enable automation between UiPath and Azure OpenAI, the activities use the UiPath Connector for Azure OpenAI to establish an authenticated connection. Follow these steps to get started:

1. Authenticate: Before you start your first project, complete the steps outlined in the Authentication Guide found in the connector documentation. This step is crucial for setting up a secure connection.
2. Establish Connection: Once authenticated, the connection to the Azure OpenAI instance will be available for use in all activities within the package.

Activities

• Generate Text Completion - Given a prompt and other inputs such as the Model ID, etc., this activity generates a text completion response. This functionality makes use of legacy GPT-3 text generation models such as Curie, Ada and Babbage. See more about the differences between models on the Chat Completions vs. Completions page. Also, you can read more on text completion from the Learn how to generate or manipulate text page.
• Generate Chat Completion - Given a user prompt and additional options like instruction (that may include conversation history), this activity generates a text completion response. This activity defaults to the GPT-3.5-Turbo model, but also allows access to GPT-4. Both of these models are optimized for chat, hence the name of the activity. You can read more about the chat functionality from the Learn how to work with the GPT-35-Turbo and GPT-4 models page.While giving users the ability to add conversation history, this activity does not actually keep previous requests and responses from the model in memory. It is state-less. Each Chat activity would require the user to provide the full dialogue history as context in the prompt.
• Create Embeddings - Get a vector representation of a given input that can be easily consumed by machine learning models and other algorithms. This activity is intended to be used in conjunction with a vector database and/or the embedded model for text and chat completion.

This activity package is compatible with UiPath Studio versions 2023.10 and newer.

• Create Embeddings
• HTTP Request
• Generate Text Completion
• Generate Chat Completion