Ruby (RubyLLM / ruby-openai)

gem "ruby_llm"

bundle install

require "ruby_llm"

RubyLLM.configure do |config|
  config.openai_api_key = ENV["LUMENFALL_API_KEY"]
  config.openai_api_base = "https://api.lumenfall.ai/openai/v1"
end

require "ruby_llm"

ctx = RubyLLM.context do |config|
  config.openai_api_key = ENV["LUMENFALL_API_KEY"]
  config.openai_api_base = "https://api.lumenfall.ai/openai/v1"
end

image = ctx.paint(
  "A capybara relaxing in a hot spring",
  model: "gemini-3-pro-image",
  size: "1024x1024",
  provider: "openai",
  assume_model_exists: true
)

puts image.url

image = RubyLLM.paint(
  "A serene mountain landscape at sunset with dramatic clouds",
  model: "gemini-3-pro-image",
  size: "1024x1024",
  provider: "openai",
  assume_model_exists: true
)

puts image.url

gem "ruby-openai"

bundle install

require "openai"

client = OpenAI::Client.new(
  access_token: ENV["LUMENFALL_API_KEY"],
  uri_base: "https://api.lumenfall.ai/openai/v1"
)

OpenAI.configure do |config|
  config.access_token = ENV["LUMENFALL_API_KEY"]
  config.uri_base = "https://api.lumenfall.ai/openai/v1"
end

client = OpenAI::Client.new

response = client.images.generate(
  parameters: {
    model: "gemini-3-pro-image",
    prompt: "A capybara relaxing in a hot spring",
    size: "1024x1024",
    n: 1
  }
)

puts response.dig("data", 0, "url")

response = client.images.generate(
  parameters: {
    model: "gpt-image-1.5",
    prompt: "A capybara relaxing in a hot spring",
    size: "1024x1024",
    n: 2
  }
)

response.dig("data").each_with_index do |image, index|
  puts "Image #{index + 1}: #{image["url"]}"
end

response = client.images.generate(
  parameters: {
    model: "gpt-image-1.5",
    prompt: "A capybara in a forest",
    response_format: "b64_json"
  }
)

base64_image = response.dig("data", 0, "b64_json")

response = client.images.edit(
  parameters: {
    model: "gpt-image-1.5",
    image: File.open("original.png", "rb"),
    prompt: "Add a capybara to this image",
    size: "1024x1024",
    n: 1
  }
)

puts response.dig("data", 0, "url")

models = client.models.list

models["data"].each do |model|
  puts model["id"]
end

model = client.models.retrieve(id: "gemini-3-pro-image")

puts model["id"]
puts model["object"]