Skip to content

Integration

Google Gemini logo

Google Gemini

Use Gemini models inside the Hyperpriors harness, with evaluation coverage, guardrails, and per-call telemetry across the model family.

Request access to connect

Connections are provisioned in private beta — not authorised from this page.

01 — Permissions

When connected, Hyperpriors is limited to the following — declared up front, revocable at any time. Scope is granted during provisioning, not by a button on this page.

  • 01

    Route agent requests to Gemini models through the Hyperpriors harness, with retries and fallbacks

  • 02

    Run evaluation suites against Gemini models and versions ahead of promotion

  • 03

    Apply guardrail policies to Gemini inputs and outputs at runtime

  • 04

    Capture traces, token usage, cost, and latency for every Gemini call

02 — Details

Built by
Google DeepMind
Website
deepmind.google (opens in new tab)
Category
Model provider
Docs
ai.google.dev (opens in new tab)

03 — Notes

About Gemini

Gemini is Google DeepMind’s family of multimodal models, available through the Gemini API and Google Cloud’s Vertex AI. The models handle text, images, audio, and video natively, support function calling and structured outputs, and offer long context windows across a range of capability and cost tiers. For teams building agents that need multimodal understanding or operate within the Google Cloud estate, Gemini is a natural fit.

What the integration does

Hyperpriors makes Gemini a fully supported model target. The harness mediates each Gemini call: tool use is structured and validated, transient errors are retried, and fallback chains can move traffic to a different Gemini tier or another provider entirely when a call fails or a budget is exceeded.

Evaluation suites run against named Gemini models and versions, so behavioural differences between releases show up in your eval results before they show up in front of users. Guardrail policies apply to inputs and outputs at runtime — including multimodal inputs — independent of your application code. Observability ties every call back to the agent step that made it, with token usage, cost, and latency recorded per call.

Multi-provider teams get one additional benefit: the same suites and policies apply across Gemini, Claude, and OpenAI models, so comparisons are measured on common ground.

Get started

Connect your Gemini API credentials from the Hyperpriors dashboard, or contact us to discuss your setup.