Provider

Google Gemini

Integrate Google's massive context Gemini models into your enterprise stack. Hyperion optimizes long-context retrieval and provides unified audit trails.

Efficiency

Context Optimization

Gemini supports millions of tokens. Hyperion's caching layer identifies recurring sub-segments in massive prompts, reducing latency.

Compatibility

Instant Parity

Run Gemini models using the OpenAI schema. Hyperion normalizes Google's distinct API structure into the standard interface.

Setup

Environment

Variables

GOOGLE_API_KEY=AIzaSy...
HYPERION_API_KEY=hp-live-...

Usage

from hyperion import HyperionClient

client = HyperionClient()

# Google Gemini integration via Hyperion optimization
res = client.chat.completions.create(
    model="google/gemini-1.5-pro",
    messages=[{"role": "user", "content": "Transcribe this multi-modal query."}]
)

print(res.choices[0].message.content)