Documentation Index

Fetch the complete documentation index at: https://docs.subverseai.com/llms.txt

Use this file to discover all available pages before exploring further.

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Google AI API Credentials

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Overview

• 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

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

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Next Steps

• 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