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v1.13 — March 2026

This release focuses on artificial intelligence integrated into the editor, on smoother loops and collaboration in workflows, and on technical foundations (sync, traces, dictionaries) for more stable integrations day to day.

Documentation: Use the workflow editor · Workflows

New features​

AI agent and AI tools​

  • Agentic platform (AI): a foundation laid for more advanced AI features within Ecosystem — a first step toward more autonomous and assisted scenarios directly in your workflows.
  • Assisted code generation: from the editor, you can have AI generate code for a node to speed up building transformations and business logic, while keeping control of the result — see the Code node and the AI Agent node.

Workflows and editor​

  • While node: a new loop node to repeat processing while a condition is true — useful for iterative paths without multiplying branches manually.
  • Multi-edit: several people can work in parallel on the same workflow; the recipient field of the Send an email node is also validated to limit configuration errors before deployment — see Use the workflow editor.
  • Editor: a node name can be changed by clicking directly on its label in the graph, for more natural and faster renaming.
  • HTTP settings: request parameters and headers can be left empty when your scenario allows it, without bypassing the interface validation — see the HTTP(S) Request node.

Triggers and deployments​

  • Triggers list: a filter by type makes navigation easier when you manage many triggers; consistent handling of the type field (including uppercase) avoids misleading lists — see Triggers and Manage triggers.
  • File trigger: an overwrite option at archiving time gives you more control over the file lifecycle after processing.

Workers and infrastructure​

  • Configuration synchronization: the sync mechanism now relies on polling instead of WebSockets, for more predictable worker updates better suited to varied network environments — see Introduction to environments and Deploy a workflow.
  • Connections: optimizations on connection setup and maintenance, making workflows less sensitive to latency or load fluctuations.
  • Infrastructure: preparatory work for the platform's upcoming evolutions, to keep scale-up and deployments under control.

Improvements​

  • Traces: reduced recorded volume when relevant — see Traces and Tracing modes.
  • Dictionaries: optimized value saving, improving responsiveness on saves and deployments involving many entries.
  • Interface: visual refinements on several screens for clearer reading and more consistent journeys.
  • Bulk replay and deletion: faster actions when processing many traces or executions — see Replay a trace.

Fixes and stabilization​

Several cross-cutting fixes were delivered to harden the editor, deployments and the most common business journeys. They aim for a smoother experience (fewer blocking errors, behaviors better aligned with what you expect from the interface) without changing the functional model of the workflows you already have in production.

Documentation: Test a workflow · Workflow version management