> For the complete documentation index, see [llms.txt](https://docs.lleverage.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.lleverage.ai/support/release-notes/november-2024.md). # November 2024 ## November 2024 Release Notes ### Workflow Versioning We're excited to announce new capabilities in Lleverage that bring greater control over your workflows and expanded support for multi-modal data processing. Here's what's new: * Major and Minor Versions: Choose between Major and Minor version increments when deploying updates. Use Minor versions for small tweaks and Major versions for significant changes or new features. * Set Default Version: Designate a specific version as the default. The default version will use the main URL, while other versions will include their version number in the URL (e.g., `v2.1`). This makes it easy to control which version is live for users without breaking existing integrations. * Preview and Revert: Easily preview older versions to test prior functionality, and revert to a previous version if needed. Editing from any version automatically creates a new draft, so you can test changes without impacting the live workflow. These versioning features allow for more stable, flexible deployments, and ensure your workflows are always performing at their best. ### Multi-Modality: Image Processing Support We're expanding Lleverage's capabilities with multi-modal support—you can now process image files within your workflows alongside text and data. This means you can leverage models that analyze both visual and text-based data for a richer range of applications. * Supported Image Formats: Upload standard image types (e.g., JPEG, PNG) and process them using compatible AI models. This opens up new possibilities for tasks like image captioning, visual recognition, and text-image combination analysis. * Expanded Use Cases: Combine image data with other document types (PDF, Word, Excel, CSV) in your workflows to build powerful, multi-modal applications. This feature supports a variety of industries, including e-commerce (e.g., product image tagging), healthcare (e.g., image analysis), and more. These updates give you greater flexibility to build AI workflows that handle both text and image inputs, expanding the range of potential applications on Lleverage. This release empowers you to manage workflow changes with confidence through versioning, while unlocking new multi-modal capabilities that allow for more advanced, AI-driven insights across multiple data types. We look forward to seeing the innovative applications you build with these tools! *The Lleverage Team* Posted: November 15, 2025\ Version: 0.5.0 --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## 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/november-2024.md?ask= ``` 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.