Release 1.2.6
Version: 1.2.6
Release Date: 23.7.2026
Release Type: Minor Release
Summary
This release expands what agents can create and where they can work. Agents can now generate images, work directly in the browser through the Chrome Extension, and connect to GitHub. Azure AI Foundry Model Router, Organization Library, Azure File Share ingestion, richer chat outputs, clearer limit visibility, and workflow error handling bring additional capabilities for enterprise teams.
New Features
Image Generation
- Agents can now generate original images as part of their work, expanding their outputs beyond text-based responses.
Chrome Extension
- The new Chrome Extension places agent chat in a side panel alongside the page you are viewing.
- Agents can work with the open page, selected text, screenshots, and uploaded files, with support for voice interaction.
Azure AI Foundry Model Router
- Azure AI Foundry Model Router can select a suitable model for each request, reducing the need to configure a specific model for every agent and scenario.
Organization Library
- Teams can share templates through a central library available across the organization.
- Skills, templates, and categories can be imported into the Organization Library for enterprise deployments.
Richer Chat Outputs
- Generated HTML can be displayed in an isolated iframe preview directly in chat.
- Generated code can be downloaded as a file for further use.
New Integrations
GitHub Connection
- The GitHub connection enables agents to read repositories and work with branches, issues, and workflows.
- Agents can also prepare changes and pull requests through a controlled workflow.
Azure File Share
- Azure File Share can now be connected as an enterprise data source, making its content available for ingestion and use by agents.
Improvements
Analytics and Limits
- A dedicated Limits analytics dashboard provides a clearer view of available model and connection limits.
- Chat now shows context usage and applicable limits, helping users understand the capacity available for the current conversation.
Workflows
- Workflows can define an explicit Error Handler path for failed nodes, making fallback and recovery behavior more predictable.