> ## Documentation Index > Fetch the complete documentation index at: https://docs.lyzr.ai/llms.txt > Use this file to discover all available pages before exploring further. # Changelog > Product updates and release notes for Lyzr Agent Studio. Track the latest features, improvements, and fixes shipped to Lyzr Agent Studio. * **Admin Dashboard Insights**: Enterprise plan admins can now view all user insights in a single dashboard, making it easier to spot trends and make decisions across the organization. * **Custom Guardrails**: Connect a guardrail to your own HTTP endpoint to enforce organization-specific validation, compliance, or moderation rules. * **Improved Git integration**: Connecting an agent to Git now supports a lot more functionality. * **One-Shot RAG**: Retrieves relevant context and generates a response in a single LLM call, ideal for straightforward question-answering where one retrieval pass is enough. * **A2A in the registry**: Agent-to-Agent (A2A) agents can now be added directly to the registry, in addition to being used in orchestration. * **New memory providers**: Added GBrain, Azure AI Foundry, Vertex AI Memory Bank, and Vertex AI Sessions. * **Voice: Bring Your Own Model**: Voice agents now support bringing your own model. * **Agent tagging and deactivation**: Add tags and metadata to agents for easier filtering, and deactivate any agent when it's no longer needed. * **Simpler tool selection**: When adding tools, all actions are selected by default instead of requiring you to pick each one, making agent building faster via both Architect and the conversation builder. * **Usability improvements**: * In-product feedback collection. * Playground fixes. * A utility agent that helps you pick the right model for your agent. * A utility agent that analyzes your traces. * **Studio redesign**: A cleaner design, improved navigation, and a more intuitive experience across Studio. The sidebar is better organized, and core flows like Agent Builder, Knowledge Base, Playground, and Deployment are now faster to use. * **Agent Improvement Engine**: Keep production agents reliable by monitoring performance, catching issues early, receiving proactive alerts, and setting rate limits to prevent unexpected costs. * **Usage reports**: Download detailed usage reports for visibility into agent performance across your organization, including usage trends, key metrics, and per-user activity. * **Guardrails node in SuperFlow**: Add guardrails as a node directly in your SuperFlow workflows. * **ArangoDB connector**: Added as a new Data Connector. * **Storage security**: Improved security for all stored files, including file uploads, Knowledge Base, and Knowledge Graph. * **Native app integrations**: Surface any Lyzr agent in Microsoft Teams, Slack, or Telegram and talk to it directly from the app your team already uses. * **Vertex AI models**: Now available on the Models page, where you can add your own credentials. * **Fallback models**: Configure up to 3 fallback models so your agents keep running automatically if an LLM provider goes down. * **New guardrails**: Valid OpenAPI Schema and Valid SQL, to validate SQL queries and OpenAPI schemas directly within your agents. * **AI Tool Suggestor**: Describe what you need in plain English while adding tools, and Lyzr identifies the right tool and capabilities for you. * **PII Guardrail improvements**: Better detection and masking quality for personally identifiable information. * **SharePoint permission sync**: Knowledge Base access now respects SharePoint folder and file permissions. * **Skills**: Modular building blocks that define what an agent can do, including code, tool integrations, or multi-step prompts. Skills can interact with resources like filesystems or external APIs to enable structured, repeatable, complex workflows. * **Near real-time Knowledge Base**: Added Microsoft SharePoint support, with Google Drive coming soon. Webhook-powered updates pull the latest information from SharePoint files, and tracked websites update automatically when they change. * **Sub-account credit limits**: Set credit limits for sub-accounts and get an email notification whenever one is about to cross its limit. * **New memory providers**: Added Mem0 and Supermemory. * **LLM-as-Judge**: Validate agent responses using an independent model. Choose the model, define custom evaluation instructions, and let an external agent review outputs. * **New database connectors**: Added Oracle and Databricks. * **Grok models**: Now available as a model provider. * **CSV as direct file input**: Upload CSV files directly as input, with no extra conversion step. * **MCP resources and prompts**: MCP integrations can now bring in resources and prompts, not just tools. * **Gibberish Text guardrail**: New guardrail to detect gibberish text. * **Improved resource sharing**: Sharing an agent now shares its connected Knowledge Base too, and sharing a manager agent shares all of its sub-agents.