# June 2025

#### **New Features**

**Agent Node Integration** We've introduced powerful Agent nodes that bring advanced AI capabilities directly into your workflows, enabling more sophisticated automation scenarios.

* **Intelligent Task Routing**: Agents can analyze and route tasks based on content and context
* **Multi-Step Reasoning**: Execute complex logic chains within a single node
* **Dynamic Tool Selection**: Automatically choose the best tools for each task
* **Learning Capabilities**: Agents improve performance based on usage patterns

**Enhanced Integration Support** Expanded our integration ecosystem with improved support for business-critical applications.

* **Microsoft Outlook Enhancements**: Better email processing and attachment handling
* **Slack Integration Improvements**: Enhanced message routing and channel management
* **API Connectivity**: More robust API connections with better error handling
* **Webhook Processing**: Improved webhook reliability and processing speed

#### **Improvements**

* **Workflow Templates**: New pre-built templates for common business processes
* **Variable Management**: Enhanced variable system with better type detection
* **Error Recovery**: Improved automatic error recovery and retry mechanisms
* **Documentation Updates**: Comprehensive guides for all new features

#### **Bug Fixes**

* Resolved issues with PDF processing in UBL conversion workflows
* Fixed attachment handling in Outlook integration workflows
* Improved memory management for large dataset processing
* Enhanced stability for long-running workflow executions


---

# 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/june-2025.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.
