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Google Gemini AI Setup

3 min read

This guide explains how to set up Google Gemini AI in Aimogen using the actual plugin workflow. Gemini does not require enabling switches or provider toggles. Entering a valid API key is the only step needed to activate it.


Where to Configure Google Gemini #

All AI providers in Aimogen are configured from a single location:

Aimogen → Settings → API Keys

Google Gemini has its own dedicated field in this tab.


Prerequisites #

Before entering the API key, make sure you have:

  • A Google Cloud account
  • Access to the Gemini API in your Google Cloud project
  • Billing enabled on that project
  • A valid Gemini API key

Even if you are within free-tier usage, billing must be enabled or requests will fail.


Setting Up Google Gemini (Step by Step) #

  1. Go to Aimogen → Settings → API Keys
  2. Locate the Google Gemini API Key field
  3. Paste your Gemini API key
  4. Save the settings

That’s it.

There is no enable toggle, no provider activation button, and no manual refresh step.


What Happens After Saving the API Key #

Once the key is saved:

  • Aimogen automatically validates the API key
  • Google Gemini becomes an active provider
  • Available Gemini models are detected automatically
  • Gemini models appear in all relevant model dropdowns across the plugin

If the key is valid, the provider is active immediately.


Model Availability #

Model availability depends entirely on what Google enables for your account.

Aimogen:

  • Detects models dynamically
  • Shows only models compatible with the current feature
  • Hides unsupported features automatically

If a model does not appear, it usually means:

  • The model is not enabled for your project
  • The model does not support that execution type
  • The API returned a capability restriction

This is expected behavior, not a plugin error.


Supported Use Cases for Gemini #

Google Gemini is typically used for:

  • AI content generation
  • Content editing and rewriting
  • Summarization and analysis
  • Multilingual content creation
  • Text-based chatbots
  • Workflow execution steps

Feature availability depends on the specific Gemini model detected.


Removing or Replacing the API Key #

If you remove the Gemini API key and save:

  • Google Gemini is immediately disabled
  • Its models disappear from selection lists
  • Existing features using Gemini will fall back or fail gracefully
  • No content or settings are deleted

You can safely rotate API keys at any time.


Using Gemini Alongside Other Providers #

Gemini can be used together with other providers such as OpenAI, Azure OpenAI, Claude, or Groq.

Common setups include:

  • OpenAI for generation
  • Gemini for editing or multilingual output
  • Claude for long-context reasoning
  • Groq for low-latency chat

Provider choice can be overridden per feature, chatbot, or workflow.


Common Issues and Checks #

If Gemini models do not appear or execution fails, check:

  • The API key is correct and saved
  • Billing is enabled in Google Cloud
  • Gemini API access is approved for the project
  • Outbound HTTPS requests are not blocked
  • Error messages in Aimogen → Status or Logs

Most issues are account or billing related, not configuration related.


Summary #

  • Google Gemini is configured in Aimogen → Settings → API Keys
  • Entering the API key automatically enables the provider
  • Models are detected and loaded automatically
  • No toggles or activation switches exist
  • Removing the key disables the provider instantly

This unified API-key-driven design keeps Aimogen consistent across all providers and avoids configuration drift between UI state and actual credentials.

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