Class: SmartPrompt::MultimodalAdapter

Inherits:
LLMAdapter
  • Object
show all
Defined in:
lib/smart_prompt/multimodal_adapter.rb

Constant Summary collapse

SUPPORTED_IMAGE_FORMATS = 
%w[jpg jpeg png gif bmp webp]
SUPPORTED_VIDEO_FORMATS = 
%w[mp4 mov avi mkv webm]

Instance Attribute Summary

Attributes inherited from LLMAdapter

#last_response

Instance Method Summary collapse

Constructor Details

#initialize(config) ⇒ MultimodalAdapter

Returns a new instance of MultimodalAdapter.



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# File 'lib/smart_prompt/multimodal_adapter.rb', line 9

def initialize(config)
  super
  api_key = @config["api_key"]
  if api_key.is_a?(String) && api_key.start_with?("ENV[") && api_key.end_with?("]")
    api_key = eval(api_key)
  end
  begin
    @client = OpenAI::Client.new(
      access_token: api_key,
      uri_base: @config["url"],
      request_timeout: 240,
    )
  rescue OpenAI::ConfigurationError => e
    SmartPrompt.logger.error "Failed to initialize Multimodal client: #{e.message}"
    raise LLMAPIError, "Invalid Multimodal configuration: #{e.message}"
  rescue OpenAI::Error => e
    SmartPrompt.logger.error "Failed to initialize Multimodal client: #{e.message}"
    raise LLMAPIError, "Multimodal authentication failed: #{e.message}"
  rescue SocketError => e
    SmartPrompt.logger.error "Failed to initialize Multimodal client: #{e.message}"
    raise LLMAPIError, "Network error: Unable to connect to Multimodal API"
  rescue => e
    SmartPrompt.logger.error "Failed to initialize Multimodal client: #{e.message}"
    raise Error, "Unexpected error initializing Multimodal client: #{e.message}"
  ensure
    SmartPrompt.logger.info "Successfully created a Multimodal client."
  end
end

Instance Method Details

#analyze_image(image_input, prompt, model = nil, detail: "auto", max_tokens: nil) ⇒ Object

Analyze image with text prompt



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# File 'lib/smart_prompt/multimodal_adapter.rb', line 92

def analyze_image(image_input, prompt, model = nil, detail: "auto", max_tokens: nil)
  SmartPrompt.logger.info "MultimodalAdapter: Analyzing image"

  messages = [
    {
      role: "user",
      content: [
        { type: "text", text: prompt },
        { type: "image_url", image_url: prepare_image_input(image_input, detail) }
      ]
    }
  ]

  model_name = model || @config["model"]
  parameters = {
    model: model_name,
    messages: messages,
    temperature: @config["temperature"] || 0.7,
  }

  parameters[:max_tokens] = max_tokens if max_tokens

  response = @client.chat(parameters: parameters)
  @last_response = response
  response.dig("choices", 0, "message", "content")
end

#analyze_multiple_images(images, prompt, model = nil, detail: "auto") ⇒ Object

Multi-image analysis



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# File 'lib/smart_prompt/multimodal_adapter.rb', line 145

def analyze_multiple_images(images, prompt, model = nil, detail: "auto")
  SmartPrompt.logger.info "MultimodalAdapter: Analyzing multiple images"

  content = [{ type: "text", text: prompt }]
  images.each do |image_input|
    content << { type: "image_url", image_url: prepare_image_input(image_input, detail) }
  end

  messages = [{ role: "user", content: content }]

  model_name = model || @config["model"]
  response = @client.chat(parameters: {
    model: model_name,
    messages: messages,
    temperature: @config["temperature"] || 0.7,
  })

  @last_response = response
  response.dig("choices", 0, "message", "content")
end

#analyze_video(video_input, prompt, model = nil, max_frames: 10, fps: 1, detail: "auto") ⇒ Object

Analyze video with text prompt



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# File 'lib/smart_prompt/multimodal_adapter.rb', line 120

def analyze_video(video_input, prompt, model = nil, max_frames: 10, fps: 1, detail: "auto")
  SmartPrompt.logger.info "MultimodalAdapter: Analyzing video"

  messages = [
    {
      role: "user",
      content: [
        { type: "text", text: prompt },
        { type: "video_url", video_url: prepare_video_input(video_input, max_frames, fps, detail) }
      ]
    }
  ]

  model_name = model || @config["model"]
  response = @client.chat(parameters: {
    model: model_name,
    messages: messages,
    temperature: @config["temperature"] || 0.7,
  })

  @last_response = response
  response.dig("choices", 0, "message", "content")
end

#send_request(messages, model = nil, temperature = 0.7, tools = nil, proc = nil) ⇒ Object 



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# File 'lib/smart_prompt/multimodal_adapter.rb', line 38

def send_request(messages, model = nil, temperature = 0.7, tools = nil, proc = nil)
  SmartPrompt.logger.info "MultimodalAdapter: Sending multimodal request"

  # Process messages to handle multimodal content
  processed_messages = process_multimodal_messages(messages)

  temperature = 0.7 if temperature.nil?
  model_name = model || @config["model"]

  SmartPrompt.logger.info "MultimodalAdapter: Using model #{model_name}"

  begin
    parameters = {
      model: model_name,
      messages: processed_messages,
      temperature: @config["temperature"] || temperature,
    }

    if proc
      parameters[:stream] = proc
    end

    if tools
      parameters[:tools] = tools
    end

    SmartPrompt.logger.info "Send parameters is: #{parameters}"
    response = @client.chat(parameters: parameters)

  rescue OpenAI::Error => e
    SmartPrompt.logger.error "Multimodal API error: #{e.message}"
    raise LLMAPIError, "Multimodal API error: #{e.message}"
  rescue OpenAI::MiddlewareErrors => e
    SmartPrompt.logger.error "Multimodal HTTP Error: #{e.message}"
    raise LLMAPIError, "Multimodal HTTP Error"
  rescue JSON::ParserError => e
    SmartPrompt.logger.error "Failed to parse Multimodal API response"
    raise LLMAPIError, "Failed to parse Multimodal API response"
  rescue => e
    SmartPrompt.logger.error "Unexpected error during Multimodal request: #{e.message}"
    raise Error, "Unexpected error during Multimodal request: #{e.message}"
  ensure
    SmartPrompt.logger.info "Successfully sent multimodal message"
  end

  SmartPrompt.logger.info "MultimodalAdapter: Received response from Multimodal API"

  if proc.nil?
    @last_response = response
    return response.dig("choices", 0, "message", "content")
  end
end