Integrate Google Cloud Vertex AI with Langflow

Langflow integrates with the Google Vertex AI API for authenticating the Vertex AI embeddings model and Vertex AI components.

Learn how to create a service account JSON in Google Cloud to authenticate Langflow’s Vertex AI components.

Create a service account with Vertex AI access

1. Select and enable your Google Cloud project. For more information, see Create a Google Cloud project.
2. Create a service account in your Google Cloud project. For more information, see Create a service account.
3. Assign the Vertex AI Service Agent role to your new account. This role allows Langflow to access Vertex AI resources. For more information, see Vertex AI access control with IAM.
4. To generate a new JSON key for the service account, navigate to your service account.
5. Click Add Key, and then click Create new key.
6. Under Key type, select JSON, and then click Create. A JSON private key file is downloaded. Now that you have a service account and a JSON private key, you need to configure the credentials in Langflow components.

Configure credentials in Langflow components

With your service account configured and your credentials JSON file created, follow these steps to authenticate the Langflow application.

1. Create a new project in Langflow.
2. From the components sidebar, drag and drop either the Vertex AI or Vertex AI Embeddings component to your workspace.
3. In the Vertex AI component's Credentials field, add the service account JSON file.
4. Confirm the component can access the Vertex AI resources. Connect a Chat input and Chat output component to the Vertex AI component. A successful chat confirms the component has access to the Vertex AI resources.