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Gemini API0 Mixed

Guides

How do we get more value from Gemini API?

  1. Gemini API Production Playbook

    Evaluate the route and models on your own workloads. Design for caching and batch before traffic grows, with time reserved for Google's model retirements.

    IncludesRoute, model, and lifecycle checklist

    1. Before buildChoose the route and models
    2. During buildCache, batch, and retry
    3. Before launchSet caps and track retirements
    • Agentic Development
    • AI Costs

  2. Gemini API Spend Controls Checklist

    Set a project spend cap below your tier's monthly cap and restrict every key. Size jobs for the 10-minute billing lag that lets batch work and agents exceed a cap.

    IncludesPrepay, cap, and key-hygiene checklist

    • AI Costs
    • Governance

  3. Gemini API Data Use & Terms Checklist

    Keep customer data off the free tier, which Google uses to improve its products. Check whether 55-day abuse logs meet your policy. For zero data retention, Google points AI Studio customers to its Agent Platform.

    IncludesData-use and retention checklist

    • Security
    • Governance

  4. Choosing Between an AI Studio Key and the Agent Platform

    Move from an AI Studio key to Google Cloud's Agent Platform when you need service accounts, Cloud billing, assured throughput, or zero data retention. Both routes reach the same Gemini models at the same global prices.

    IncludesRoute comparison and migration checklist

    • AI Adoption
    • Governance

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