# Advanced Prompt Engineering, Usability Enhancements, and More with Cognigy.AI 2025.13 Release Authors name: [Nhu Ho](/content/product-updates/author/nhu-ho/index.html) July 3, 2025 --- The latest release of Cognigy.AI introduces the new **LLM Prompt** and **Load AI Agent** Nodes for developers and enterprise teams seeking greater precision, configurability, and visibility in building AI Agent solutions. Additionally, it includes various quality-of-life improvements that streamline onboarding, facilitate testing, and enrich Live Agent analytics. ## Attaining Ultimate Control Over Agent Prompting Within Cognigy.AI, the **LLM Prompt Node** allows you to directly interface with the LLM and precisely configure the system prompt for execution. ### What’s New Previously limited to text generation, the [new LLM Prompt Node](https://docs.cognigy.com/ai/build/node-reference/service/llm-prompt/) now integrates advanced functionalities in line with Cognigy’s Agentic AI paradigm, including: - **Tool Actions**: Seamlessly integrate and invoke both native and MCP Tools within your LLM calls. - **Image Support**: Incorporate real-time image analysis and processing into conversational experiences. - **Conversation Transcript Access**: Dynamically utilize conversation history to enable more context-aware responses. A new [**Load AI Agent Node**](https://docs.cognigy.com/ai/build/node-reference/ai/load-ai-agent/) additionally allows developers to load an existing AI Agent configuration and persona into the Input or Context object. This facilitates the reuse of AI Agent settings in the LLM Prompt Node, promoting consistency and efficiency in complex Flows. **Why It Matters** Together, these two Nodes provide maximum transparency and control over prompt construction for agent execution. You can replicate the behavior of the AI Agent Node while applying bespoke prompt engineering tailored to your enterprise scenarios. ### Deep-Dive Live Agent Analytics with New OData Parameters The [Live Agent OData endpoint](https://docs.cognigy.com/live-agent/tools/odata-endpoint/) has been augmented with additional parameters across the Label, User (human agents and supervisors), and Conversation collections. New attributes include: **User Activity Metrics:** - Most recent login timestamp - Last sign-in and sign-out timestamps - Total number of logins **Conversation-Level Details:** - Conversation ID per Label - The date and time when a conversation is assigned and ended **Impact for Enterprise Teams** These enhancements support more granular, filterable data queries, enabling the creation of richer dashboards and more targeted insights. Whether you're optimizing resource planning or refining support processes, these metrics help to inform decision-making. ### Accelerated Knowledge Setup During Agent Creation Setting up your AI Agents is now even faster and more flexible. Besides selecting an existing Knowledge Store, you can now also upload Knowledge Sources directly from the Agent Creation Wizard. This enhancement enables quick and seamless knowledge integration right within the creation workflow, streamlining configuration. ### Broadened Markdown Support to Enhance Testing and UX Developers and testers can now experience richer, more accurate output previews with the new **Render Markdown** option in the **Interaction Panel settings**. By enabling this feature, you can validate exactly how your AI Agents will render responses that include: - Lists and bullet points - Hyperlinks and inline formatting - Bold and italic text - Headers, tables, and footnotes This capability ensures your conversational UI behaves as expected, improving quality assurance and expediting the iteration process before deployment. Plus, markdown support is now also available for the [Privacy Notice field](https://docs.cognigy.com/webchat/v3/configuration/#privacy-notice) in Cognigy Webchat, allowing you to customize texts with bold and italic formatting and hyperlinks. ### Other Improvements Cognigy.AI - Added support for [OpenAI's](https://docs.cognigy.com/ai/empower/llms/providers/openai/) and [Microsoft Azure OpenAI's](https://docs.cognigy.com/ai/empower/llms/providers/microsoft-azure-openai/)`gpt-4.1`,`gpt-4.1-mini`, and`gpt-4.1-nano`models, and [Mistral AI's](https://docs.cognigy.com/ai/empower/llms/providers/mistral/)`mistral-medium`model. Additionally, changed the version mapping of [Anthropic's](https://docs.cognigy.com/ai/empower/llms/providers/anthropic/) and Mistral AI's models to include the`*-latest`suffix. This suffix ensures that the latest version of the model is used when you select it. The versioning mapping applies to the following models: - Anthropic's`claude-3-5-sonnet`and`claude-3-7-sonnet`are now listed as`claude-3-5-sonnet-latest`and`claude-3-7-sonnet-latest`respectively. - Mistral AI's`mistral-large-2411`,`mistral-small-2501`, and`pixtral-large-2411`are now listed as`mistral-large-latest`,`mistral-small-latest`, and`pixtral-large-latest`respectively.`mistral-medium`is listed as`mistral-medium-latest` - Added capability to collapse debug messages in the [Interaction Panel](https://docs.cognigy.com/ai/test/interaction-panel/overview/) and copy them to the clipboard - Improved stability of the handover database connection and optimized message sending to handover providers by using caching Cognigy Voice Gateway - Improved general stability of Voice Gateway For further information, check out our complete [Release Notes here](https://docs.cognigy.com/release-notes/2025.13/).