# July 2024

## July 2024 Release Notes

### New Features

#### Prompt Studio

* Create and manage prompts with an intuitive interface designed for efficiency
* Save and organize prompts in a centralized library for easy access
* Test prompts directly within the studio to ensure optimal performance
* Use variables within prompts to create dynamic, reusable templates
* Share prompts across your organization to promote collaboration

#### Workflow Builder

* Design complex AI workflows through a visual, drag-and-drop interface
* Connect multiple nodes to create sophisticated processing pipelines
* Configure node settings with an easy-to-use properties panel
* Test workflows at each stage to ensure proper functionality
* Save and deploy workflows to automate repetitive tasks

#### User Management

* Implement role-based access control with User and Admin permission levels
* Manage team members' access to specific features and resources
* Generate invite links to seamlessly onboard new team members
* Add users directly from the platform with email invitations
* Monitor user activity and resource usage across your organization

#### LLM Model Connections

* Seamlessly integrate with leading language models:
  * OpenAI: Access GPT-3.5 and GPT-4 models for a wide range of text generation tasks
  * Gemini: Leverage Google's powerful models for advanced language understanding
  * Anthropic: Utilize Claude models for safe and helpful AI assistance
* Configure model parameters directly within your workflows
* Store API keys securely with enterprise-grade encryption
* Manage rate limits and usage to optimize costs

#### Database Connections

* Integrate your workflows with popular database systems:
  * SQL: Connect to standard SQL databases for structured data storage and retrieval
  * PostgreSQL: Leverage advanced PostgreSQL features for complex data operations
  * Supabase: Utilize Supabase's developer-friendly platform for backend functionality
* Execute custom queries directly from your workflows
* Import and export data between databases and AI models
* Store and retrieve AI-generated content for persistent applications

*The Lleverage Team*

Posted: July 10, 2024\
Version: 0.1.0


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.lleverage.ai/support/release-notes/july-2024.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.