Agent self-scheduling, new LLM models

New Features:

Agent Self-Scheduling: Agents can now schedule one-shot future runs of themselves. Agents fetch their current task ID and create a scheduled follow-up run at a specific future time — no external cron wiring needed. Self-scheduling can be enabled or disabled per-agent from the Tools tab
Workflow Schedule Node: Added a new “Schedule” node type for workflows that pauses execution and resumes at a chosen target node at a future time. Schedule expressions are written in natural language (e.g. “in 1 hour”, “next Monday 9am”).
New LLM models — Claude Opus 4.7 and GPT-5.5: Added Claude Opus 4.7 (available via Anthropic and Amazon Bedrock) and GPT-5.5 to the available model catalog across agents, workflows, and workflow nodes.

Improvements:

Tasks page: execution location column: Added a Location column to the Tasks page showing which environment each execution ran in - xpander cloud, or the name of the self-hosted location.

As always, our agents and humans continuously fix various bugs, and sometimes create new ones (that will be fixed in the next update.)

Agent workspaces, context optimization, Outlook connector, MSP controls

Agent Workspace: Added dedicated workspace environments per-agent with persistent shell, file editing, code search, and file sharing tools so agents can safely work with larger outputs and generated artifacts.

Three-layer context optimization for long-running agent sessions: Introduced layered context optimization, including large output offloading, retry-aware compaction, and manual context compaction flows to keep agents reliable under heavy context pressure.
Slack workflow formatting controls: Added workflow-level Slack formatting instructions so teams can define how structured workflow outputs should be rendered in Slack.
New model provider support: Added support for Tzafon LightCone and ByteDance ModelArk providers across the platform.
Secure static HTML sharing: Shareable HTML reports can be created via built-in agent tooling.

AI-native Microsoft Outlook connector: Added Outlook support for mail, calendar, contacts, and attachments with secure URL-based attachment handling and optional text extraction.
Task history filtering: Added date range filters for task history APIs so teams can query execution history within a specific time window.
Agent and workflow creation experience: Simplified agent creation with sensible defaults for regular and personal agents, improved tool selection with grouped operations and bulk selection, and reset creation modals more reliably when closing and reopening them.
Agent activity and compaction visibility: Improved the activity timeline to clearly show context optimization starts, results, and failures, with better titles and detailed payload views.
UI clarity across agents and connectors: Improved agent feature descriptions, simplified deprecated planning and memory settings, and made connector logo selection more consistent.

External request forwarding: Fixed request forwarding so empty query parameters are stripped before calling external APIs, reducing downstream errors.
Agent asset cleanup: Fixed deletion flows for container-based agents so associated agent assets are purged when the agent is removed.
As always, our agents and humans continuously fix various bugs, and sometimes create new ones (that will be fixed in the next update.)