GeminiModel

Environment variables: GEMINI_API_KEY, GEMINI_MODEL_NAME

import os
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},
)
messages = [{"role": "user", "content": "Say hello in one short sentence."}]

response = model.invoke(messages)
print(response.text)

for chunk in model.stream_text(messages):
    print(chunk, end="", flush=True)

Or via the factory:

from elsai_model import LLM, Provider

model = LLM(
    provider=Provider.GEMINI,
    model=os.getenv("GEMINI_MODEL_NAME", "gemini-2.5-flash"),
    api_key=os.environ["GEMINI_API_KEY"],
    params={"temperature": 0.2},
)

---

See also

• LLM Models overview — install, extras, factory
• LLM factory