---
sourceDocument: Australia Enable AI
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/de-DE/intelligent-experiences

 Release :

    - australia

ft:locale :

    - de-DE

ft:publication_title :

    - Australia Enable AI

ft:clusterId :

    - platai

bundleId :

    - platai

workflow :

    - Platform


---

# Select a model for Amazon Bedrock

# Select a model for Amazon Bedrock {#ariaid-title1}

* Freigeben Version: Australia
* 
* Aktualisiert 12. März 2026
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 Minute Lesedauer

Choose which large language model (LLM) to use with Amazon Bedrock for custom skills.

## Vorbereitungen

You must have the latest version of Generative AI Controller and the Amazon Bedrock spoke installed on your instance. You must also set up your API credentials. For more information, see [Configure API credentials for Amazon Bedrock](https://servicenow-prod.fluidtopics.net/u1ekIovFBFncDhyEgkzo_Q "Configure your API credentials to use AWS Bedrock in custom workflows and Virtual Agent Designer topics.").

Role required: admin

## Warum und wann dieser Vorgang ausgeführt wird

You may have multiple models configured to use with Amazon Bedrock. By default, the settings use Amazon's Titan model, but you can configure the spoke to use a different model by changing the Generative AI Model Config record.

## Prozedur

1. In the filter navigator, navigate to the Generative AI Model Config table by entering <kbd class="ph userinput">sys_generative_ai_model_config.list</kbd>.
2. Search in the Provider field column for <kbd class="ph userinput">Amazon Bedrock</kbd>, then open the resulting record.
3. In the Model field, enter the ID of the model that you want to use.  
   You can find the model ID on the Foundation modelsBase models page on Amazon Bedrock.
4. Select Save to update the record.
5. Map the chosen model to a custom skill.
   1. In the filter navigator, go to the Generative AI Config table by entering <kbd class="ph userinput">sys_generative_ai_config.list</kbd>.
   2. Search for the custom skill you've created that uses Amazon Bedrock as the service provider, and open the record.  
      The Definition should be OneExtend Capability Definition: \<Name of Skill\>.
   3. Set the Model field to the model ID you entered in step 3.

## Ergebnisse

Your chosen model with the Amazon Bedrock provider will be used for custom skills.

## Nächste Maßnahme

You can create custom skills with the Amazon Bedrock provider in Now Assist Skill Kit and perform step 6 to set the new model.