# April 29 ## **Agents** ### **Agent Component** #### **LLM scorer variables and new templates** You can now reference dynamic values in the LLM scorer prompt using variables, allowing the judge model to evaluate the Agent's output in context rather than in isolation. The following variable types are available: * `{{agent.userPrompt}}` and `{{agent.systemPrompt}}` reference the prompts configured in the Agent. * `{{experiment.your-variable}}` lets you declare custom variables in the scorer prompt and assign a specific value to each Test Case in your Dataset. The judge model then picks up those values at evaluation time, so each case is assessed with the right context. New prompt templates are also available. Some already include predefined `experiment.` variables to help you get started faster. Learn about the LLM scorer

#### **Agent Component now available in Capsules** You can now use the **Agent Component** when building Capsules, bringing AI capabilities into reusable, modular pipeline components. This allows you to encapsulate AI-powered logic and share it across multiple pipelines, making it easier to maintain and scale intelligent integrations throughout your organization. Learn about Capsules ### **In-app guidance: Build your first AI agent** We've launched an **interactive in-app tutorial** to help you **build your first AI agent** directly on the Digibee Integration Platform — no prior experience required. The tutorial walks you through creating an AI-powered pipeline that analyzes customer feedback sentiment using the Digibee Agent Component and returns a structured JSON response. By the end, you will have configured an Agent Component, set up conditional routing with the Choice connector, and tested a complete AI-powered pipeline end to end. **How to access the tutorial via Helphub:** 1. Go to the **Canvas** area. 2. Select the **?** icon in the left menu. 3. Select **Tutorials e Checklists**. 4. In the checklist that opens in the lower-right corner, select **Build Your First AI Agent**. The tutorial is available to all users and takes approximately 10 minutes to complete.

*** ## **Platform Improvements** ### **Refreshed Capsules list screen** The Capsules list screen has been redesigned with an updated interface and a new list view layout, making it easier to navigate and manage your Capsules. Go to Capsules ### **Updated Monitor screens** The Monitor screens have been updated with a new UI, delivering a more consistent and refined experience when tracking and managing your pipeline executions. Go to Monitor *** ## **Documentation** We've created the following use case documentation to help you expand your knowledge of ZTNA Inverse Flow on the Digibee Integration Platform: * [**How to add a Load Balancer to a ZTNA Inverse Flow**](/documentation/developer-guide/connectivity-management/ztna/ztna-inverse-flow/inverse-load-balancer.md): Learn how to configure a Load Balancer in your cloud infrastructure to distribute traffic across multiple Edge Routers, ensuring high availability and continuity for your ZTNA Inverse Flow integrations. *** ## **Bug Fixes** * **Stream Parquet File Reader:** Fixed a non-deterministic issue where date fields were returned as integers instead of formatted date strings during concurrent pipeline executions; date conversion now works reliably across parallel runs. * **Accounts in Build:** Removed a misleading warning in the account creation modal that incorrectly advised against storing passwords and tokens in accounts, aligning the Build flow with official documentation and the Settings experience. * **Email V2 connector:** Fixed an issue where existing pipelines lost their account references after a connector update; configured accounts are now preserved correctly without requiring reconfiguration. * **HTTP File trigger:** Fixed a connection exhaustion issue where the HTTP File trigger was reaching its maximum connection limit, preventing users from connecting properly; connections are now handled efficiently without hitting the limit. --- # 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.digibee.com/documentation/release-notes/april-2026/april-29.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.