Releasesby Glyphprefect 3.7.4 - From cradle to grave
New Features 🎉 Emit lifecycle events (created, updated, deleted) for all domain objects including variables, flows, block documents, block types, concurrency limits, artifact collections, and automations Enhancements ➕➕ Add Redis-backed cleanup queue backend with optimistic transactions and cross-process wakeups Add cleanup reconciler for worker channel...
Also shipped Jun 5, 2026Prefect in June 2026 →
What's new in Sigma
AI Create AI columns (Beta) You can now create AI columns to enrich your data using natural language prompts. AI columns allow you to construct dynamic prompts that reference specific table columns, and can be helpful for tasks like enriching, summarizing, and classifying data. See Create AI columns (Beta) for more information.
Sandboxes, Infrastructure as Code
This week, Sandboxes are available in Priority Boarding from the dashboard and CLI, and Infrastructure as Code is available experimentally in CLI 5.2.0. Both features use the [Railway TypeScript SDK](https://github.com/railwayapp/railway-ts-sdk) (yes, we released a TypeScript SDK too).
Inbound SCIM Groups for Enterprise Connections is now Generally Available!
We’re pleased to announce that support for Groups within Auth0’s [Inbound SCIM](https://auth0.com/docs/authenticate/protocols/scim/configure-inbound-scim) for Enterprise Connections capability is now Generally Available (GA)!
Taxonomy MCP: Branch management and Create tools
Description: You can now build, iterate on, and ship tracking plan changes entirely through AI-assisted workflows. The Amplitude MCP server now includes create and branch management tools for taxonomy, bringing a workflow that was previously only available in the Amplitude UI to any AI assistant.
Web Experiment: Mutex groups, Holdout groups, and Experiment dependencies [Beta]
Description: As your experimentation program scales, controlling how experiments interact becomes critical. Web Experiment now supports mutual exclusion groups, holdout groups, and flag dependencies so you can run a more rigorous, isolated testing program. Mutual exclusion groups prevent users from seeing multiple experiments at once.
Per-Condition Retry Configuration
The new X-Fal-Retry-Config request header replaces all-or-nothing retry behavior with a separate retry budget per failure condition, allowing retry policy to be tuned independently for each failure mode.
More from PrefectEvery Prefect release →
Prefect 3.7.3 - Scheduler go brrrr
Automatic dependency installation for pulled-code deployments is now opt-in. In 3.7.2, the runner would automatically prepare project dependencies when a deployment pulled code containing a pyproject.toml. This behavior is now disabled by default.
Prefect 3.7.5 - No run left CANCELLING
Enhancements ➕➕ Add cancelling timeout cleanup producer Add backend observability for worker channel and cleanup queue Bug Fixes 🐞 Fix pending task runs in flow run graph Add index on event_resources(occurred) for vacuum performance Fix FastAPI 0.137 compatibility , skip route deletion when router is referenced Degrade events WebSocket on transient...
Prefect 3.7.2 - Delete after running
Enhancements ➕➕ Add delete flow run automation action Add worker channel handshake and heartbeat Add work-pool snapshot delivery to worker channel Index triggers by expect pattern to avoid O(n) scan in find_interested_triggers Cache variable reads within a single resolve_variables() call Cache block document template resolution Validate PEP 508 dependencies...
Prefect 3.7.6 - You can only be `Late` once
Bug Fixes 🐞 Return PrefectFutureList from Task.map when deferred=True Fix race condition in UI static directory creation with multiple workers Raise clear error when FlowRun/TaskRun passed as task argument Prevent duplicate Late state transitions in MarkLateRuns Quote -q and -p args separately in work-queue create output Development & Tidiness 🧹 Widen...
Prefect 3.7.1
Enhancements ➕➕ - Add deployment_name logging variable - Infer logs page size from API response in CLI - Add default result storage CLI - Add Pydantic-aware tojson template filter - Add worker channel protocol contract - Add worker channel client with REST fallback - Add worker cleanup executor - Add worker work-pool snapshot handling - Add...
Launch Week: dbt orchestration and infrastructure debugging in Cloud
Prefect Cloud's spring launch week brought first-class dbt orchestration, infrastructure debugging in the run page, managed automations, config plugins, and per-workspace rate limits.
Prefect 3.7.1 through 3.7.7: real-time workers and a faster scheduler
The releases between 3.7.0 and 3.7.8 built a real-time channel between the server and workers, made the scheduler noticeably faster, and started emitting lifecycle events for every object.
Prefect 3.7.7 - Don't put that work pool configuration in your mouth. It's stale
Enhancements ➕➕ Accept a single step mapping in prefect.yaml action sections Bug Fixes 🐞 Fix set_working_directory relative path resolution in workspace resolver Run pull steps for module-path entrypoints when loading flow from flow run Fix UI version redirect leaking internal host behind reverse proxy Reconcile stale work-pool snapshots on worker...