Google Gemini

Use Google's Gemini models with GeminiModel. Supports native multimodal input and tool calling through the Google GenAI SDK.

For standalone invoke / stream usage, see LLM Models — Google Gemini.

Install

pip install --extra-index-url https://core-packages.elsai.ai/root/elsai-model/ elsai-model==2.0.0

Setup

1. Create a Google AI API key.
2. Export credentials:

export GEMINI_API_KEY=...
export GEMINI_MODEL_NAME=gemini-2.5-flash

3. Install elsai-agents:

pip install --extra-index-url https://elsai-agents.elsai.ai/root/ elsai-agents==0.3.0

Agent — basic

import os
from elsai import Agent
from elsai_model.gemini import GeminiModel

model = GeminiModel(
    model_id=os.getenv("GEMINI_MODEL_NAME", "gemini-2.5-flash"),
    client_args={"api_key": os.environ["GEMINI_API_KEY"]},
    params={"temperature": 0.2},
)
agent = Agent(
    model=model,
    system_prompt="You are a concise assistant.",
)
result = agent("What is 17 + 28? Reply with just the number.")
print(result.message["content"][0]["text"])

Available models

Model	ID
Gemini 2.5 Flash	gemini-2.5-flash
Gemini 2.5 Pro	gemini-2.5-pro
Gemini 2.0 Flash	gemini-2.0-flash