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Google Vertex AI

Vertex AI is a comprehensive platform offering access to powerful multimodal models like Gemini from Google, enabling developers to seamlessly combine various inputs such as text, images, video, or code. With a diverse selection of models, Vertex AI facilitates easy customization and integration, allowing for the development and deployment of AI applications. The platform provides generative AI models, fully managed tools, and purpose-built MLOps solutions to streamline the entire machine learning lifecycle—from training and tuning to deployment and monitoring.

Before setting up

Before you can connect you need to make sure that:

Creating service account and generating JSON keys

  1. Navigate to the selected or created Cloud Platform project.
  2. Go to the IAM & Admin section.
  3. On the left sidebar, select Service accounts.
  4. Click Create service account.
  5. Enter a service account name and, optionally, a description. Click Create and continue. Select the Vertex AI Administrator role for the service account and click Continue. Finally, click Done.
  6. From the service accounts list, select the newly created service account and navigate to the Keys section.
  7. Click Add key => Create new key. Choose the JSON key type and click Create.
  8. Open the downloaded JSON file and copy its contents, which will be used in the Service account configuration string connection parameter.


  1. Navigate to apps and search for Google Vertex AI. If you cannot find Google Vertex AI then click Add App in the top right corner, select Google Vertex AI and add the app to your Blackbird environment.
  2. Click Add Connection.
  3. Name your connection for future reference e.g. ‘My organization’.
  4. Fill in the project ID of the selected project and the JSON configuration string obtained in the previous step.
  5. Click Connect.
  6. Confirm that the connection has appeared and the status is Connected.



  • Generate text with Gemini generates text using Gemini model. If text generation is based on a single prompt, it’s executed with the gemini-1.0-pro model. Optionally, you can specify an image or video to perform generation with the gemini-1.0-pro-vision model. Both image and video have a size limit of 20 MB. If an image is already present, video cannot be specified and vice versa. Supported image formats are PNG and JPEG, while video formats include MOV, MPEG, MP4, MPG, AVI, WMV, MPEGPS, and FLV. Optionally, set Is Blackbird prompt to True to indicate that the prompt given to the action is the result of one of AI Utilities app’s actions. You can also specify safety categories in the Safety categories input parameter and respective thresholds for them in the Thresholds for safety categories input parameter. If one list has more items than the other, extra ones are ignored.


Do you want to use this app or do you have feedback on our implementation? Reach out to us using the established channels or create an issue.