# Activities

> The following table lists the activities included in this package.

The following table lists the activities included in this package.

| Activity | Description |
| --- | --- |
| [Generate Text Completion](https://docs.uipath.com/activities/other/latest/integration-service/uipath-microsoft-azureopenai-generate-text-completion) | Given a prompt and other inputs such as the Model, 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](https://platform.openai.com/docs/guides/text-generation/chat-completions-vs-completions) page. Also, you can read more on text completion from the [Learn how to generate or manipulate text](https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/completions) page. |
| [Generate Chat Completion](https://docs.uipath.com/activities/other/latest/integration-service/uipath-microsoft-azureopenai-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](https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/chatgpt?pivots=programming-language-chat-completions&tabs=python-new) 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](https://docs.uipath.com/activities/other/latest/integration-service/uipath-microsoft-azureopenai-generate-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 thext and chat completion. |
| [HTTP Request activity](https://docs.uipath.com/activities/other/latest/integration-service/http-request-activity) | Run HTTP calls to a specified API. |