---
sourceDocument: Australia Conversational Interfaces
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/de-DE/conversational-interfaces

 Release :

    - australia

ft:locale :

    - de-DE

ft:publication_title :

    - Australia Conversational Interfaces

ft:clusterId :

    - convint

bundleId :

    - convint

workflow :

    - Platform


---

# Configure connections to Google Dialogflow in your Virtual Agent Bot Interconnect instance

# Configure connections to Google Dialogflow in your Virtual Agent Bot Interconnect instance {#ariaid-title1}

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

To use Google Dialogflow with Virtual Agent
Bot Interconnect, the fourth step is to configure the connection in your ServiceNow® instance.

## Vorbereitungen

[Generate a Java Keystore file from the JSON private key file](https://servicenow-prod.fluidtopics.net/NCNq91IsI7kUWsrAG9jB_Q "To use Google Dialogflow with Virtual Agent Bot Interconnect, the third step is to generate a JKS file from the JSON private key you created in the previous step.").

Role required:
admin

## Prozedur

1. Navigate to AllConnections \& CredentialsConnection \& Credential Aliases.
2. On the Connection \& Credential Aliases page, click the Bot Interconnect Dialogflow Integration record.
3. Under Related Links, click Create New Connection \& Credential.
4. Use the JSON file you downloaded in a [previous step](https://servicenow-prod.fluidtopics.net/JmDbCalOOkoph3PWk2~RVQ "To use Google Dialogflow with Virtual Agent Bot Interconnect, the second step is to create a service account and private key for the new agent in Google Dialogflow.") to fill in the form.  
   {#configure-sn-instance-google-dialogflow__table_oq4_kkf_jsb__entry__2}

   | Field | Description |
   |-|-|
   | Connection Name | A name for your credential. For example, <kbd class="ph userinput">Dialogflow Connection</kbd>. |
   | Project ID (project_id) | The value that corresponds with the project_id parameter in the JSON file. For example, my-agent-ukpy. |
   | Service Account Email (client_email) | The value that corresponds with the client_email parameter in the JSON file. For example, my-srvc-account@my-agent-ukpy.iam.gserviceaccount.com. |
   | Private Key ID (private_key_id) | The value that corresponds with the private_key_id parameter in the JSON file. For example, 8347eb542980d21e0c22a3bd6cc577ce0ac3a1a1. |
   | Keystore Password | The password that you used when you created the Java Keystore (JKS) file in a [previous step](https://servicenow-prod.fluidtopics.net/NCNq91IsI7kUWsrAG9jB_Q "To use Google Dialogflow with Virtual Agent Bot Interconnect, the third step is to generate a JKS file from the JSON private key you created in the previous step."). |
   | Keystore | Select the JKS file you created in a previous step. |
   [Tabelle : 1. Connection \& Credential Aliases New record form]

   {#configure-sn-instance-google-dialogflow__table_oq4_kkf_jsb}
5. Click Create and Get OAuth Token.
**Vorheriges Thema:** [Generate a Java Keystore file from the JSON private key file](https://servicenow-prod.fluidtopics.net/NCNq91IsI7kUWsrAG9jB_Q "To use Google Dialogflow with Virtual Agent Bot Interconnect, the third step is to generate a JKS file from the JSON private key you created in the previous step.")  
**Nächstes Thema:** [Create a Virtual Agent Bot Interconnect shell topic to call Google Dialogflow topics](https://servicenow-prod.fluidtopics.net/aXhY4XJVO7amJRLivYZHlg "To access topics in the Google Dialogflow secondary bot, you must create at least one Virtual Agent Bot Interconnect topic.")