Digital.ai Release and Deploy 26.1 are now available!

Dear users, we are happy to announce that our latest major versions of Release and Deploy are available!

Key features of Release 26.1 include:

Release LLM integration container plugin (Beta) โ€“ brings AI-powered automation to Release. Connect to LLM providers, call tools on MCP servers, and build autonomous AI agents that combine reasoning and tool execution โ€“ all from within Release workflows. 5 task types are available with samples:

  • Querying MCP server tools and schemas

  • Executing MCP tools directly

  • Sending LLM prompts

  • Starting live conversational LLM sessions within task

  • Running autonomous AI agents that plan and execute multi-step workflows

Git folder versioning improvements โ€“ compare saved versions side by side or against the current folder state, with standard Git-style diff highlighting. New quick actions let you copy commit hashes and compare directly from the version list. Git-versioned folders now display a Git icon with the applied version number for easy identification.

Filtering improvements โ€“ a more consistent filtering experience across Tasks, Templates, Workflow Templates, and Workflow Executions pages. New Unassigned filter, which shows tasks with no user or team assigned on the Tasks page, and tag-based filtering with all/any modes for Templates, Workflow Templates and Executions.

UI & functional enhancements

  • Default landing pages โ€“ configure which page appears after login or when opening a folder in Personal settings

  • Connections page โ€“ allows to preview configured connections, with improved search by connection title and type

  • Passwords in tasks โ€“ new global setting to control visibility of the "Allow passwords in all fields" option

  • Release cards color update โ€“ finished releases now display task-type colors (faded) instead of uniform gray

Account lockout โ€“ configuration option to automatically locks internal user accounts after a configurable number of failed login attempts. Admins can manage locked accounts from the Users page, and a new API endpoint allows programmatic unlocking.

Permission updates

  • Runner permissions refined into three levels: View, Edit, and Registration

  • Admin permission now visible only to admin users

  • Plugin Manager access is view-only for users with Edit security permission

  • Task access page restricted to Admin users only

Release Runner enhancements โ€“ new configuration parameters for skipping TLS verification on legacy Kubernetes clusters and applying custom labels to execution pods. Runner metadata (cluster, environment, data center, namespace) now supports better organization. Runners page supports filtering by connection status, state, type, cluster, namespace, and environment.

ย โš ๏ธ Breaking changes & End-of-life announcements

  • Folder naming restrictions โ€“ folders with invalid characters (< > : " / \ | ? *) cannot be versioned with Git versioning; rename affected folders after upgrade

  • Installation answer keys renamed: PostgresqlInstall โ†’ PostgresqlType

  • Experimental external operator upgrades may not work seamlessly; review documentation before upgrading

  • Apache Derby DB deprecated โ€“ will be removed in 26.3; migrate to H2 (test) or a supported external database (production)

Updated plugins include: Ansible Automation Controller, Argo CD, Bamboo, Bitbucket, Confluence, Dynatrace, Fortify SSC, GitLab, Python SDK, Release LLM Integration, Remote Completion, ServiceNow, Sonatype Nexus IQ, Spinnaker, and Tekton.ย 

Digital.ai Release

Release notes | Download here (requires login)

Key features of Deploy 26.1 include:

GitOps in Deploy โ€“ bidirectional exchange of infrastructure and environment CIs with a Git repository using YAML files. Supports GitHub, GitLab, Azure DevOps, and Bitbucket. Export CIs from Deploy to Git for versioning and review, or import CIs from Git to create or update them.

Large artifact deployment โ€“ Deploy now supports deploying artifacts 2 GB or larger using a streaming approach instead of loading them entirely into memory. All artifact base types are supported. Configurable in-memory threshold and adaptive permissions for oversized archives.

Updated plugins include: Atlassian Bamboo, AWS, Azure, Command, GitOps, OSB, and WAS.

ย โš ๏ธ Breaking changes & End-of-life announcements

  • RabbitMQ Topology Operator removed โ€“ review your configuration before upgrading

  • Installation answer keys renamed: PostgresqlInstall โ†’ PostgresqlType, RabbitmqInstall โ†’ RabbitmqType

  • Experimental external operator upgrades may not work seamlessly; review documentation before upgrading

  • Apache Derby DB deprecated โ€“ will be removed in 26.3; migrate to H2 (test) or a supported external database (production)

Digital.ai Deploy

Release notes | Download here (requires login)

The Digital.ai Release and Deploy Teams

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