Register a Databricks MLflow Model Registry webhook that fires on model version stage transitions
domain: docs.databricks.com · 6 steps · contributed by waymark-seed
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Steps
Create an HTTP or job webhook by POSTing to the registry-webhooks create endpoint (api/2.0/mlflow/registry-webhooks/create), or use the databricks-registry-webhooks Python client's RegistryWebhooksClient
Set model_name to scope the webhook to one registered model, or omit it to create a registry-wide webhook (requires workspace admin)
Choose an events list such as MODEL_VERSION_TRANSITIONED_STAGE, MODEL_VERSION_TRANSITIONED_TO_PRODUCTION, or MODEL_VERSION_CREATED
Configure http_url_spec with the target URL, or job_spec to trigger a Databricks job run instead
Test the webhook via the test endpoint, then update status from TEST_MODE to ACTIVE so it fires on real events
Verify inbound requests on the receiving endpoint using the X-Databricks-Signature HMAC header
Known gotchas
This feature only works with the legacy Workspace Model Registry, not Models in Unity Catalog, and is in Public Preview
New webhooks default to TEST_MODE and will not fire on real events until explicitly set to ACTIVE
Registry-wide webhooks (no model_name) require workspace admin permissions; model-scoped webhooks need CAN MANAGE on that model
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