OmniAI

OmniAI provides a unified Ruby API for integrating with multiple AI providers, including Anthropic, DeepSeek, Google, Mistral, and OpenAI. It streamlines AI development by offering a consistent interface for features such as chat, text-to-speech, speech-to-text, and embeddings—ensuring seamless interoperability across platforms. Switching between providers is effortless, making any integration more flexible and reliable.

• OmniAI::Anthropic
• OmniAI::DeepSeek
• OmniAI::Google
• OmniAI::Mistral
• OmniAI::OpenAI

Examples

Example #1: Chat

This example demonstrates using OmniAI with Anthropic to prompt a “biologist” for an analysis of photos, identifying the animals within each one. A system and user message are provided, and the response is streamed in real time.

require 'omniai/anthropic'

CLIENT = OmniAI::Anthropic::Client.new

CAT_URL = 'https://images.unsplash.com/photo-1472491235688-bdc81a63246e?q=80&w=1024&h=1024&fit=crop&fm=jpg'
DOG_URL = 'https://images.unsplash.com/photo-1517849845537-4d257902454a?q=80&w=1024&h=1024&fit=crop&fm=jpg'

CLIENT.chat(stream: $stdout) do |prompt|
  prompt.system('You are a helpful biologist with an expertise in animals that responds with the latin names.')
  prompt.user do |message|
    message.text('What animals are in the attached photos?')
    message.url(CAT_URL, 'image/jpeg')
    message.url(DOG_URL, 'image/jpeg')
  end
end

The animals in the photos are:

1. A cat (*Felis catus*).
2. A dog (*Canis familiaris*).

Example #2: Text-to-Speech

This example demonstrates using OmniAI with OpenAI to convert text to speech and save it to a file.

require 'omniai/openai'

CLIENT = OmniAI::OpenAI::Client.new

File.open(File.join(__dir__, 'audio.wav'), 'wb') do |file|
  CLIENT.speak('Sally sells seashells by the seashore.', format: OmniAI::Speak::Format::WAV) do |chunk|
    file << chunk
  end
end

Example #3: Speech-to-Text

This example demonstrates using OmniAI with OpenAI to convert speech to text.

require 'omniai/openai'

CLIENT = OmniAI::OpenAI::Client.new

File.open(File.join(__dir__, 'audio.wav'), 'rb') do |file|
  transcription = CLIENT.transcribe(file)
  puts(transcription.text)
end

Example #4: Tools

This example demonstrates how to use OmniAI with Google to call a custom tool that generates a weather report. The tool accepts a list of locations (city and country) and returns a temperature — randomly generated for demonstration purposes — based on the provided parameters.

require 'omniai/google'

CLIENT = OmniAI::Google::Client.new

LOCATION = OmniAI::Tool::Property.object(
  properties: {
    city: OmniAI::Tool::Property.string(description: 'e.g. "Toronto"'),
    country: OmniAI::Tool::Property.string(description: 'e.g. "Canada"'),
  },
  required: %i[city country]
)

LOCATIONS = OmniAI::Tool::Property.array(
  min_items: 1,
  max_items: 5,
  items: LOCATION
)

UNIT = OmniAI::Tool::Property.string(enum: %w[celcius fahrenheit])

WEATHER = proc do |locations:, unit: 'celsius'|
  locations.map do |location|
    "#{rand(20..50)}° #{unit} in #{location[:city]}, #{location[:country]}"
  end.join("\n")
end

TOOL = OmniAI::Tool.new(
  WEATHER,
  name: 'Weather',
  description: 'Lookup the weather in a location',
  parameters: OmniAI::Tool::Parameters.new(
    properties: {
      locations: LOCATIONS,
      unit: UNIT,
    },
    required: %i[locations]
  )
)

completion = CLIENT.chat(tools: [TOOL]) do |prompt|
  prompt.user do |message|
    message.text('What is the weather in "London" in celcius and "Seattle" in fahrenheit?')
  end
end

puts(completion.text)

The weather is 24° celcius in London and 42° fahrenheit in Seattle.

Example #5: Embeddings

This example demonstrates using OmniAI with Mistral to generate embeddings for a dataset. It defines a set of entries (e.g. "George is a teacher." or "Ringo is a doctor.") and then compares the embeddings generated from a query (e.g. "What does George do?" or "Who is a doctor?") to rank the entries by relevance.

require 'omniai/mistral'

CLIENT = OmniAI::Mistral::Client.new

Entry = Data.define(:text, :embedding) do
  def initialize(text:)
    super(text:, embedding: CLIENT.embed(text).embedding)
  end
end

ENTRIES = [
  Entry.new(text: 'John is a musician.'),
  Entry.new(text: 'Paul is a plumber.'),
  Entry.new(text: 'George is a teacher.'),
  Entry.new(text: 'Ringo is a doctor.'),
].freeze

def search(query)
  embedding = CLIENT.embed(query).embedding

  results = ENTRIES.sort_by do |data|
    Math.sqrt(data.embedding.zip(embedding).map { |a, b| (a - b)**2 }.reduce(:+))
  end

  puts "'#{query}': '#{results.first.text}'"
end

search('What does George do?')
search('Who is a doctor?')
search('Who do you call to fix a toilet?')

'What does George do?': 'George is a teacher.'
'Who is a doctor?': 'Ringo is a doctor.'
'Who do you call to fix a toilet?': 'Paul is a plumber.'

Installation

The main omniai gem is installed with:

gem install omniai

Specific provider gems are installed with:

gem install omniai-anthropic
gem install omniai-deepseek
gem install omniai-mistral
gem install omniai-google
gem install omniai-openai

Usage

OmniAI implements APIs for a number of popular clients by default. A client can be initialized using the specific gem (e.g. omniai-openai for OmniAI::OpenAI). Vendor specific docs can be found within each repo.

Client

OmniAI::Anthropic

require 'omniai/anthropic'

client = OmniAI::Anthropic::Client.new

OmniAI::DeepSeek

require 'omniai/deepseek'

client = OmniAI::DeepSeek::Client.new

OmniAI::Google

require 'omniai/google'

client = OmniAI::Google::Client.new

OmniAI::Mistral

require 'omniai/mistral'

client = OmniAI::Mistral::Client.new

OmniAI::OpenAI

require 'omniai/openai'

client = OmniAI::OpenAI::Client.new

Usage with LocalAI

LocalAI support is offered through OmniAI::OpenAI:

Usage with LocalAI

Usage with Ollama

Ollama support is offered through OmniAI::OpenAI:

Usage with Ollama

Logging

Logging the request / response is configurable by passing a logger into any client:

require 'omniai/openai'
require 'logger'

logger = Logger.new(STDOUT)
client = OmniAI::OpenAI::Client.new(logger:)

[INFO]: POST https://...
[INFO]: 200 OK
...

Timeouts

Timeouts are configurable by passing a timeout an integer duration for the request / response of any APIs using:

require 'omniai/openai'
require 'logger'

logger = Logger.new(STDOUT)
client = OmniAI::OpenAI::Client.new(timeout: 8) # i.e. 8 seconds

Timeouts are also be configurable by passing a timeout hash with timeout / read / write / `keys using:

require 'omniai/openai'
require 'logger'

logger = Logger.new(STDOUT)
client = OmniAI::OpenAI::Client.new(timeout: {
  read: 2, # i.e. 2 seconds
  write: 3, # i.e. 3 seconds
  connect: 4, # i.e. 4 seconds
})

Chat

Clients that support chat (e.g. Anthropic w/ "Claude", Google w/ "Gemini", Mistral w/ "LeChat", OpenAI w/ "ChatGPT", etc) generate completions using the following calls:

Completions using a Simple Prompt

Generating a completion is as simple as sending in the text:

completion = client.chat('Tell me a joke.')
completion.text # 'Why don't scientists trust atoms? They make up everything!'

Completions using a Complex Prompt

More complex completions are generated using a block w/ various system / user messages:

completion = client.chat do |prompt|
  prompt.system 'You are a helpful assistant with an expertise in animals.'
  prompt.user do |message|
    message.text 'What animals are in the attached photos?'
    message.url('https://.../cat.jpeg', "image/jpeg")
    message.url('https://.../dog.jpeg', "image/jpeg")
    message.file('./hamster.jpeg', "image/jpeg")
  end
end
completion.text  # 'They are photos of a cat, a cat, and a hamster.'

Completions using Streaming via Proc

A real-time stream of messages can be generated by passing in a proc:

stream = proc do |chunk|
  print(chunk.text) # '...'
end
client.chat('Tell me a joke.', stream:)

Completion using Streaming via IO

The above code can also be supplied any IO (e.g. File, $stdout, $stdin, etc):

client.chat('Tell me a story', stream: $stdout)

Completion with Tools

A chat can also be initialized with tools:

tool = OmniAI::Tool.new(
  proc { |location:, unit: 'celsius'| "#{rand(20..50)}° #{unit} in #{location}" },
  name: 'Weather',
  description: 'Lookup the weather in a location',
  parameters: OmniAI::Tool::Parameters.new(
    properties: {
      location: OmniAI::Tool::Property.string(description: 'e.g. Toronto'),
      unit: OmniAI::Tool::Property.string(enum: %w[celcius fahrenheit]),
    },
    required: %i[location]
  )
)
client.chat('What is the weather in "London" in celcius and "Paris" in fahrenheit?', tools: [tool])

Transcribe

Clients that support transcribe (e.g. OpenAI w/ "Whisper") convert recordings to text via the following calls:

Transcriptions with Path

transcription = client.transcribe("example.ogg")
transcription.text # '...'

Transcriptions with Files

File.open("example.ogg", "rb") do |file|
  transcription = client.transcribe(file)
  transcription.text # '...'
end

Speak

Clients that support speak (e.g. OpenAI w/ "Whisper") convert text to recordings via the following calls:

Speech with Stream

File.open('example.ogg', 'wb') do |file|
  client.speak('The quick brown fox jumps over a lazy dog.', voice: 'HAL') do |chunk|
    file << chunk
  end
end

Speech with File

tempfile = client.speak('The quick brown fox jumps over a lazy dog.', voice: 'HAL')
tempfile.close
tempfile.unlink

Embeddings

Clients that support generating embeddings (e.g. OpenAI, Mistral, etc.) convert text to embeddings via the following:

response = client.embed('The quick brown fox jumps over a lazy dog')
response.usage # <OmniAI::Embed::Usage prompt_tokens=5 total_tokens=5>
response.embedding # [0.1, 0.2, ...] >

Batches of text can also be converted to embeddings via the following:

response = client.embed([
  '',
  '',
])
response.usage # <OmniAI::Embed::Usage prompt_tokens=5 total_tokens=5>
response.embeddings.each do |embedding|
  embedding # [0.1, 0.2, ...]
end

CLI

OmniAI packages a basic command line interface (CLI) to allow for exploration of various APIs. A detailed CLI documentation can be found via help:

omniai --help

Chat

w/ a Prompt

omniai chat "What is the coldest place on earth?"

The coldest place on earth is Antarctica.

w/o a Prompt

omniai chat --provider="openai" --model="gpt-4" --temperature="0.5"

Type 'exit' or 'quit' to abort.
# What is the warmet place on earth?

The warmest place on earth is Africa.

Embed

w/ input

omniai embed "The quick brown fox jumps over a lazy dog."

0.0
...

w/o input

omniai embed --provider="openai" --model="text-embedding-ada-002"

Type 'exit' or 'quit' to abort.
# Whe quick brown fox jumps over a lazy dog.

0.0
...