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Rebuilt the AI Agent runtime around an Agent First execution architecture, consolidating autonomous loops, reply commits, interruption recovery, context evaluation, and run tracing for more reliable and observable support automation.
Added Agent revision, publication, and run management, including save-before-publish behavior, step and tool-call details, quality feedback, run evaluation, and safeguards that allow channels to bind only published Agents.
Upgraded MCP tool management and execution policies with unified discovery, risk levels, administrator authorization, sensitive-action confirmation, tool-result summarization, and safer reply handling.
Overhauled the visual workflow editor with FlowGram-based node configuration, conditional branches, variable contracts, auto layout, undo/redo, validation feedback, version publishing and restoration, and usage inspection.
Completed binding between Agents and published workflow versions, kept active revisions synchronized after publication, and refined the Agent configuration workbench, channel selection, and workflow-management interactions.
Standardized build commands on Taskfile and added LanceDB native dependency download, build, and development tasks to simplify local development and multi-environment builds.