Refactoring Tool Usage to Work w/ More LLMs

[ksylvest]

Finalize tool call APIs to work as follows:

CLIENT = OmniAI::Client.find(provider: '...') # 'mistral' / 'google' / 'openai' / 'anthropic'

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 farenheit]),
    },
    required: %i[location]
  )
)

puts '> [SYSTEM] You are an expert in weather.'
puts '> [USER] What is the weather in "London" in celsius and "Madrid" in fahrenheit?'
response = CLIENT.chat(tools: [TOOL]) do |prompt|
  prompt.system 'You are an expert in weather.'
  prompt.user 'What is the weather in "London" in celsius and "Madrid" in fahrenheit?'
end
puts response.text

Dependencies:

• Implement serialize / deserialize Pattern omniai-anthropic#16
• Implement serialize / deserialize Pattern omniai-google#15
• Implement serialize / deserialize Pattern omniai-mistral#13
• Implement serialize / deserialize Pattern omniai-openai#27