From 4b1233a0586c0735fbb9a8d6da2840689b0e84db Mon Sep 17 00:00:00 2001 From: Sotiris Oikonomou <96480400+SotirisOikonomou@users.noreply.github.com> Date: Tue, 6 May 2025 10:38:03 +0200 Subject: [PATCH] Update register-an-object-store-secret-b083d73.md Output artifacts can only use the default object store. Made this clear as a restriction --- .../register-an-object-store-secret-b083d73.md | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/docs/sap-ai-core/register-an-object-store-secret-b083d73.md b/docs/sap-ai-core/register-an-object-store-secret-b083d73.md index 14c79ad..8635128 100644 --- a/docs/sap-ai-core/register-an-object-store-secret-b083d73.md +++ b/docs/sap-ai-core/register-an-object-store-secret-b083d73.md @@ -11,6 +11,9 @@ Your cloud storage credentials are managed using secrets. Secrets are a means of > > You can create multiple secrets using different values for `name`, but you must create a default first. +> ### Restriction: +> Output artifacts can only use the default object store + > ### Tip: > The `pathPrefix` is useful if you share the same bucket for different projects. You can set the name of your project folder to `my-ml-project1`, for example. All data is then stored in that folder. @@ -153,6 +156,9 @@ Register your object store secret details using the endpoint `/v2/admin/objectSt > > You can create multiple secrets using different values for `name`, but you must create a default first. +> ### Restriction: +> Output artifacts can only use the default object store + > ### Tip: > The `pathPrefix` is useful if you share the same bucket for different projects. You can set the name of your project folder to `my-ml-project1`, for example. All data is then stored in that folder. @@ -290,6 +296,9 @@ You have completed the initial setup. For more information, see [Initial Setup]( > > You can create multiple secrets using different values for `name`, but you must create a default first. + > ### Restriction: + > Output artifacts can only use the default object store + > ### Tip: > The `pathPrefix` is useful if you share the same bucket for different projects. You can set the name of your project folder to `my-ml-project1`, for example. All data is then stored in that folder.