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Google AI API Credentials

Google AI API credentials allow your SubverseAI agents to access Google’s Gemini models and other AI services.

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Overview

Google AI credentials provide access to:
  • Gemini Pro and Gemini Pro Vision models
  • Text generation and multimodal capabilities
  • Embedding models for vector search
  • Google’s latest AI models and capabilities

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Dashboard Screenshot

Google AI Dashboard View your API keys in the Google AI Studio

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Steps to Create Google AI API Credentials

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1. Create Google Account

  1. Visit Google AI Studio
  2. Sign in with your Google account
  3. Accept the terms of service

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2. Generate API Key

  1. Navigate to the API Keys section
  2. Click Create API Key
  3. Give your API key a descriptive name
  4. Copy the generated API key

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3. Add to SubverseAI

  1. Go to Credentials in your SubverseAI dashboard
  2. Click Create New Credential
  3. Select Google AI API from the credential types
  4. Enter a name for your credential (e.g., “Production Google AI”)
  5. Paste your API key in the API Key field
  6. Click Test Connection to verify the credentials work
  7. Click Save Credential

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Required Fields

  • Name: A descriptive name for your credential
  • API Key: Your Google AI API key

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Usage Tips

  • Use different API keys for development and production environments
  • Monitor your usage in the Google AI Studio dashboard
  • Google AI offers generous free tiers for testing
  • Consider setting up billing for production workloads

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Troubleshooting

Invalid API Key: Ensure you copied the complete API key from Google AI Studio Quota Exceeded: Check your usage limits in the Google AI Studio Model Not Available: Some models may be region-restricted or require specific API keys

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Next Steps

After creating your Google AI credentials:
  • Use them in AI workflow nodes for text generation
  • Set up multimodal workflows with Gemini Pro Vision
  • Configure embedding models for vector search
  • Experiment with different Gemini models