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Google Gemini provides direct API access to Gemini models. Use it when you want Google-managed inference without routing through another gateway.

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Get an API key

Create a key in Google AI Studio. The key’s Google Cloud project must have the Gemini API available and any required billing configured.

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Configuration

Add Google Gemini in Settings > Models and paste the key, or configure:
Roomote adds recommended Gemini models under the google/ prefix. A practical mapping uses a Pro model for coding and planning and a Flash model for helper and explore work. Refresh model metadata after Google changes preview model IDs.

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Cost behavior

Google applies model-specific input, output, caching, and context pricing. Some projects may have free-tier quotas, but production workloads should not assume free capacity. Roomote records usage and estimates model cost; Google Cloud billing and Gemini API pricing remain authoritative.

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Verify setup

  1. save GEMINI_API_KEY
  2. confirm Gemini models appear in Settings > Models
  3. enable a model and assign it to the coding or another role
  4. run a small task and confirm usage reaches the key’s Google Cloud project

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Common issues

  • The key is rejected. Confirm it came from AI Studio and that the Gemini API is available in the associated project.
  • A preview model stops resolving. Refresh model metadata and select its current replacement; Google periodically retires preview IDs.
  • Quota errors occur. Check project quota and billing in Google AI Studio or Google Cloud, then reduce concurrency or request more quota.