Update from SAP DITA CMS (squashed):

commit 502090c145697141444c247315e689e925a30515
Author: REDACTED
Date:   Fri May 16 12:26:27 2025 +0000

    Update from SAP DITA CMS 2025-05-16 12:26:27

    Project: dita-all/ayn1620809929290
    Project map: 8a3894192639433b9ba1f87efe78bfd1.ditamap
    Output: loio62559d01add8414eb0c4d76d2d9f48bd
    Language: en-US
    Builddable map: 038a6194f65c4ef68885f6f16360dbc4.ditamap

commit f78c992fe2c313e2de725f0426b136bef19a92c0
Author: REDACTED
Date:   Fri May 16 10:05:00 2025 +0000

    Update from SAP DITA CMS 2025-05-16 10:05:00

    Project: dita-all/ayn1620809929290
    Project map: 8a3894192639433b9ba1f87efe78bfd1.ditamap
    Output: loio62559d01add8414eb0c4d76d2d9f48bd
    Language: en-US
    Builddable map: 038a6194f65c4ef68885f6f16360dbc4.ditamap

commit 7726d807a8439d9fb67009ce409696a59650375d
Author: REDACTED
Date:   Fri May 16 09:39:47 2025 +0000

    Update from SAP DITA CMS 2025-05-16 09:39:47

    Project: dita-all/bex1621329160251
    Project map: d3e749bbac3d4f728c12228db6629c45.ditamap

##################################################
[Remaining squash message was removed before commit...]

Author: ditaccms-bot

docs/sap-ai-core/accessing-generative-ai-models-through-global-scenarios-4ca11f6.md

@@ -24,7 +24,7 @@ Access to generative AI models falls under the global AI scenarios `foundation-m
 
 -   Open Source Framework Support: While we support LangChain, a popular open-source framework, we can't support every framework available. If a specific open-source framework is required, you might need to extend it for support or consider alternative integration methods.
 
--   **[Orchestration](orchestration-cdd4847.md "The orchestration service operates under the global AI scenario
+-   **[Orchestration](orchestration-8d02235.md "The orchestration service operates under the global AI scenario
                 orchestration, which is managed by SAP AI Core. This service enables the use of various generative AI
             models with a unified code, configuration, and deployment.")**  
 The orchestration service operates under the global AI scenario `orchestration`, which is managed by SAP AI Core. This service enables the use of various generative AI models with a unified code, configuration, and deployment.
@@ -35,7 +35,7 @@ The foundation models service operates under the global AI scenario `foundation-
 **Related Information**  
 
 
-[Orchestration](orchestration-cdd4847.md "The orchestration service operates under the global AI scenario orchestration, which is managed by SAP AI Core. This service enables the use of various generative AI models with a unified code, configuration, and deployment.")
+[Orchestration](orchestration-8d02235.md "The orchestration service operates under the global AI scenario orchestration, which is managed by SAP AI Core. This service enables the use of various generative AI models with a unified code, configuration, and deployment.")
 
 [Foundation Models](foundation-models-2d981fb.md "The foundation models service operates under the global AI scenario foundation-models, which is managed by SAP AI Core.")
 

docs/sap-ai-core/consume-models-with-the-harmonized-api-2392d9a.md

@@ -46,7 +46,7 @@ curl --request POST $ORCH_DEPLOYMENT_URL/completion \
 
 This request configures the templating module with a single user message with two parameters: `text` and `language`. The `language` parameter is also configured with English as the default. The LLM module is configured to use gpt-4o-mini in the latest available version and a set of model parameters. The `input_params` field contains the values for the parameters `text` and `language`. These values are used during this request in the prompt sent to the model.
 
-The response contains a `request_id`, the module results from each module that was executed, and the `orchestration_result`, which includes the response of the call to the model. For more information about modules available for consumption using the Harmoized API, see [Orchestration](orchestration-cdd4847.md).
+The response contains a `request_id`, the module results from each module that was executed, and the `orchestration_result`, which includes the response of the call to the model. For more information about modules available for consumption using the Harmoized API, see [Orchestration](orchestration-8d02235.md).
 
 > ### Output Code:  
 > ```

docs/sap-ai-core/deploy-models-dd16e8e.md

@@ -145,15 +145,15 @@
 
 
 
-<a name="concept_z3s_f3h_vcc__d94e1165"/>
+<a name="concept_z3s_f3h_vcc__d95e1165"/>
 
 ## Optional Parameters
 
 The duration of a deployment can be limited using the `ttl` parameter. It takes an integer for quantity, and a single letter to specify units of time. Only minutes \(`m`\), hours \(`h`\) and days \(`d`\), are supported, and values must be natural numbers. For example, `"ttl": "5h"` gives the deployment a duration of 5 hours. `4.5h` and `4h30m` are not valid inputs. If no value is passed, the duration of the deployment if indefinite. Once the duration expires, the deployment is stopped and deleted.
 
 
 
-<a name="concept_z3s_f3h_vcc__d94e1196"/>
+<a name="concept_z3s_f3h_vcc__d95e1196"/>
 
 ## Deployment Quotas
 

docs/sap-ai-core/edit-an-object-store-secret-d0af61c.md

@@ -2,22 +2,6 @@
 
 # Edit an Object Store Secret
 
-
-
-> ### Note:  
-> For input artifacts only
-> 
-> You can create multiple secrets using different values for `name`, but you must create a default first.
-
-> ### 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.
-
-> ### Note:  
-> If the `AI-Resource-Group` header is not specified, the *<Resource Group\>* is assigned the value `"default"` automatically.
-
-> ### Restriction:  
-> When using an SAP HANA Data Lake object store with output artifacts pointing to a directory, you cannot use `archive: none: {}` in your workflow templates to disable artifact archiving. For more information, see [Workflow Templates](workflow-templates-83523ab.md).
-
 <a name="task_i3h_n13_tcc"/>
 
 <!-- task\_i3h\_n13\_tcc -->
@@ -151,12 +135,18 @@ Edit your object store secret details using the endpoint `$AI_API_URL/v2/admin/o
 > 
 > 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.
 
 > ### Note:  
 > If the `AI-Resource-Group` header is not specified, the *<Resource Group\>* is assigned the value `"default"` automatically.
 
+> ### Restriction:  
+> When using an SAP HANA Data Lake object store with output artifacts pointing to a directory, you cannot use `archive: none: {}` in your workflow templates to disable artifact archiving. For more information, see [Workflow Templates](workflow-templates-83523ab.md).
+
 <a name="task_cxf_n13_tcc"/>
 
 <!-- task\_cxf\_n13\_tcc -->
@@ -269,17 +259,23 @@ SAP AI Core supports multiple hyperscaler object stores, including the following
         ```
 
 
-3.  Send the request.
-
     > ### Note:  
     > For input artifacts only
     > 
     > 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.
 
     > ### Note:  
     > If the `AI-Resource-Group` header is not specified, the *<Resource Group\>* is assigned the value `"default"` automatically.
 
+    > ### Restriction:  
+    > When using an SAP HANA Data Lake object store with output artifacts pointing to a directory, you cannot use `archive: none: {}` in your workflow templates to disable artifact archiving. For more information, see [Workflow Templates](workflow-templates-83523ab.md).
+
+3.  Send the request.
+
 

docs/sap-ai-core/get-a-repository-a64179d.md

@@ -14,20 +14,12 @@ You have created a generic secret for grounding purposes. For more information,
 
 
 
-<a name="loioa64179d1b8684a519d39dda0afa11e38__context_e42_ngh_jdc"/>
-
-## Context
-
-
-
 <a name="loioa64179d1b8684a519d39dda0afa11e38__steps_uyc_chh_jdc"/>
 
 ## Procedure
 
 Send a GET request to the endpoint `$AI_API_URL/v2/lm/document-grounding/retrieval/dataRepositories`
 
-To search within a specific repository specify it's `repositoryid` in `dataRepositories` attribute of the request or specify `*` to search in all the repositories.
-
 Example for all repositories:
 
 > ### Sample Code:  

docs/sap-ai-core/index.md

@@ -61,7 +61,7 @@
         -   [Consume Models with the Harmonized API](consume-models-with-the-harmonized-api-2392d9a.md)
         -   [Next Steps](next-steps-6106eed.md)
     -   [Accessing Generative AI Models Through Global Scenarios](accessing-generative-ai-models-through-global-scenarios-4ca11f6.md)
-        -   [Orchestration](orchestration-cdd4847.md)
+        -   [Orchestration](orchestration-8d02235.md)
             -   [Orchestration Workflow](orchestration-workflow-b233648.md)
                 -   [Grounding](grounding-454c558.md)
                     -   Prerequisites
@@ -102,6 +102,7 @@
                     -   [Few-Shot Learning](few-shot-learning-4fe47b1.md)
                     -   [Chat](chat-39321a9.md)
                     -   [Minimal Call](minimal-call-949e773.md)
+                    -   [Tool Calling](tool-calling-f959929.md)
                 -   [Input Translation](input-translation-c43ad1d.md)
                     -   [Enhance Model Consumption with Input Translation](enhance-model-consumption-with-input-translation-0291151.md)
                 -   [Data Masking](data-masking-8b87002.md)
@@ -233,5 +234,6 @@
         -   [Docker](docker-1945aa4.md)
         -   [Deployment](deployment-a10fa8a.md)
         -   [Miscellaneous](miscellaneous-10622b5.md)
+-   [Support Process](support-process-c484783.md)
 -   [Service Offboarding](service-offboarding-08303fe.md)
 

docs/sap-ai-core/kubernetes-security-3864a9c.md

@@ -4,6 +4,110 @@
 
 We recommend that you enable the relevant and applicable Kubernetes security features on your workflow templates and serving templates. Ensure that you enable the appropriate Kubernetes features for your workloads.
 
+
+
+<a name="loio3864a9c5401f4115966a737e4b3a8026__section_g3x_srj_3fc"/>
+
+## Restricted Pod Settings
+
+To ensure proper security configurations for containers, certain security-related pod fields must adhere to specific values. There is a large number of pod fields, which change over time. Here, we list the most important fields and their required settings. You do not have to explicitly set these values on your own, however if you set these fields incorrectly, the pod will be rejected.
+
+
+
+<a name="loio3864a9c5401f4115966a737e4b3a8026__section_jy1_5rj_3fc"/>
+
+## Setting for `PodSecurityContext`
+
+
+<table>
+<tr>
+<th valign="top">
+
+Capability
+
+</th>
+<th valign="top">
+
+Setting
+
+</th>
+</tr>
+<tr>
+<td valign="top">
+
+`Add`
+
+</td>
+<td valign="top">
+
+Must not be set
+
+</td>
+</tr>
+<tr>
+<td valign="top">
+
+`Drop`
+
+</td>
+<td valign="top">
+
+Must contain exactly one element: `['all']`
+
+</td>
+</tr>
+<tr>
+<td valign="top">
+
+`RunAsUser`
+
+</td>
+<td valign="top">
+
+Must be set to `65534`
+
+</td>
+</tr>
+<tr>
+<td valign="top">
+
+`RunAsGroup`
+
+</td>
+<td valign="top">
+
+Must be set to `65534`
+
+</td>
+</tr>
+<tr>
+<td valign="top">
+
+`RunAsNonRoot`
+
+</td>
+<td valign="top">
+
+Must be set to `true`. The pod must run as a non-root user
+
+</td>
+</tr>
+<tr>
+<td valign="top">
+
+`AllowPrivilegeEscalation`
+
+</td>
+<td valign="top">
+
+Must be set to `false`
+
+</td>
+</tr>
+</table>
+
+These settings are enforced internally. If your pod is rejected, it is likely due to one or more of these fields being set incorrectly. Please review your configuration and ensure compliance with the above requirements.
+
 **Related Information**  
 
 

docs/sap-ai-core/manage-data-pipelines-2f94a67.md

@@ -15,7 +15,7 @@ You can retrieve details of indexing pipelines in the following ways:
     > ### Sample Code:  
     > ```
     > curl --request GET \  # Use GET method to retrieve all pipelines
-    > --url $AI_API_URL/v2/lm/document-grounding/pipelines$AI_API_URL/v2/lm/document-grounding/pipelines \  # URL to fetch all pipelines
+    > --url $AI_API_URL/v2/lm/document-grounding/pipelines\  # URL to fetch all pipelines
     > --header 'AI-Resource-Group: {{resource_group}}'  # Add the resource group ID in the header
     > 
     > ```
@@ -70,6 +70,8 @@ You can list all executions within a pipeline including status details by pipeli
 >  
 > ```
 
+The `lastExecution` parameter is Boolean, taking `true` or `false` values. Setting the value to `true` will retrieve only the latest execution in the pipeline. Setting the value to `false` will retrieve all executions in the pipeline.
+
 You can get details of an execution including its status by pipeline ID and execution ID using the following:
 
 > ### Sample Code:  

docs/sap-ai-core/monitoring-and-troubleshooting-f559038.md

@@ -6,7 +6,7 @@ Explore solutions to potential issues, and find out how to get support.
 
 
 
-<a name="loiof559038fef1b4661bf62e26ee02442e8__section_uys_xk4_snb"/>
+<a name="loiof559038fef1b4661bf62e26ee02442e8__section_c34_zrv_hfc"/>
 
 ## Getting Support
 
@@ -64,7 +64,7 @@ SAP AI Core
 
 We recommend that you include the following information when you submit the incident:
 
--   Region information \(Canary, EU10, US10\)
+-   Region information
 -   Subaccount technical name
 -   URL of the page where the incident or error occurs
 -   Steps or clicks used to replicate the error

docs/sap-ai-core/next-steps-6106eed.md

@@ -4,7 +4,7 @@
 
 In the section above, we've outlined the basic steps for model consumption.
 
-If you're interested in exploring advanced use cases for enhancing LLM responses with capabilities like grounding, data masking, and content filtering, see [Orchestration](orchestration-cdd4847.md).
+If you're interested in exploring advanced use cases for enhancing LLM responses with capabilities like grounding, data masking, and content filtering, see [Orchestration](orchestration-8d02235.md).
 
 Alternatively, you can deploy and consume models using direct model access. For more information, see [Foundation Models](foundation-models-2d981fb.md).