OpenAI SDK

pip install openai

from openai import OpenAI

client = OpenAI(
    api_key="lmnfl_your_api_key",
    base_url="https://api.lumenfall.ai/openai/v1"
)

response = client.chat.completions.create(
    model="google/gemini-3-flash-preview",
    messages=[
        {"role": "user", "content": "Why are capybaras so chill?"}
    ]
)

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

stream = client.chat.completions.create(
    model="google/gemini-3-flash-preview",
    messages=[
        {"role": "user", "content": "Tell me a fun fact about capybaras"}
    ],
    stream=True
)

for chunk in stream:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="")

response = client.images.generate(
    model="gemini-3-pro-image",
    prompt="A serene mountain landscape at sunset with dramatic clouds",
    n=1,
    size="1024x1024"
)

print(response.data[0].url)

response = client.images.edit(
    model="gpt-image-1.5",
    image=open("original.png", "rb"),
    prompt="Add a rainbow in the sky",
    n=1,
    size="1024x1024"
)

print(response.data[0].url)

import time

# Submit a video generation request
video = client.videos.create(
    model="sora-2",
    prompt="A capybara splashing in a river at golden hour",
    seconds=5,
    size="1920x1080",
)

# Poll until the video is ready
while video.status not in ("completed", "failed"):
    time.sleep(5)
    video = client.videos.retrieve(video.id)

print(video.output.url)

response = client.images.generate(
    model="gemini-3-pro-image",
    prompt="A capybara relaxing in a hot spring",
    size="1024x1024",
    extra_body={
        "seed": 12345,
        "custom_provider_param": "value"
    }
)