Class: Rack::AI::Providers::OpenAI

Inherits:
Base
  • Object
show all
Defined in:
lib/rack/ai/providers/openai.rb

Constant Summary collapse

API_BASE_URL = 
"https://api.openai.com/v1"

Instance Attribute Summary

Attributes inherited from Base

#config

Instance Method Summary collapse

Methods inherited from Base

#build_request_data, #healthy?, #validate!

Constructor Details

#initialize(config) ⇒ OpenAI

Returns a new instance of OpenAI.



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# File 'lib/rack/ai/providers/openai.rb', line 13

def initialize(config)
  super
  @client = build_client
end

Instance Method Details

#analyze_patterns(data) ⇒ Object 



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# File 'lib/rack/ai/providers/openai.rb', line 73

def analyze_patterns(data)
  prompt = build_pattern_analysis_prompt(data)
  
  response = @client.post("chat/completions") do |req|
    req.body = {
      model: "gpt-3.5-turbo",
      messages: [
        {
          role: "system",
          content: "You are a traffic pattern analyst. Analyze the provided request patterns and identify anomalies, trends, and recommendations. Respond with JSON."
        },
        {
          role: "user",
          content: prompt
        }
      ],
      temperature: 0.2,
      max_tokens: 500
    }.to_json
  end

  handle_api_error(response) unless response.success?
  
  result = JSON.parse(response.body)
  content = JSON.parse(result.dig("choices", 0, "message", "content") || "{}")
  
  {
    anomalies: content["anomalies"] || [],
    trends: content["trends"] || [],
    recommendations: content["recommendations"] || [],
    confidence: content["confidence"] || 0.0,
    provider: :openai
  }
end

#classify_request(data) ⇒ Object 



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# File 'lib/rack/ai/providers/openai.rb', line 18

def classify_request(data)
  prompt = build_classification_prompt(data)
  
  response = @client.post("chat/completions") do |req|
    req.body = {
      model: "gpt-3.5-turbo",
      messages: [
        {
          role: "system",
          content: "You are a web request classifier. Analyze the request and classify it as one of: human, bot, spam, suspicious. Respond with JSON containing 'classification' and 'confidence' (0-1)."
        },
        {
          role: "user",
          content: prompt
        }
      ],
      temperature: 0.1,
      max_tokens: 100
    }.to_json
  end

  handle_api_error(response) unless response.success?
  
  result = JSON.parse(response.body)
  content = JSON.parse(result.dig("choices", 0, "message", "content") || "{}")
  
  {
    classification: content["classification"]&.to_sym || :unknown,
    confidence: content["confidence"] || 0.0,
    reasoning: content["reasoning"],
    provider: :openai
  }
end

#detect_anomalies(request_data) ⇒ Object 



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# File 'lib/rack/ai/providers/openai.rb', line 108

def detect_anomalies(request_data)
  prompt = build_anomaly_detection_prompt(request_data)
  
  response = @client.post("chat/completions") do |req|
    req.body = {
      model: "gpt-3.5-turbo",
      messages: [
        {
          role: "system",
          content: "You are a security analyst. Detect potential security threats, anomalies, or suspicious patterns in web requests. Respond with JSON containing 'threat_level' (low/medium/high), 'anomalies', and 'confidence'."
        },
        {
          role: "user",
          content: prompt
        }
      ],
      temperature: 0.1,
      max_tokens: 200
    }.to_json
  end

  handle_api_error(response) unless response.success?
  
  result = JSON.parse(response.body)
  content = JSON.parse(result.dig("choices", 0, "message", "content") || "{}")
  
  {
    threat_level: content["threat_level"]&.to_sym || :low,
    anomalies: content["anomalies"] || [],
    confidence: content["confidence"] || 0.0,
    provider: :openai
  }
end

#enhance_content(content, enhancement_type) ⇒ Object 



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# File 'lib/rack/ai/providers/openai.rb', line 142

def enhance_content(content, enhancement_type)
  prompt = build_enhancement_prompt(content, enhancement_type)
  
  response = @client.post("chat/completions") do |req|
    req.body = {
      model: "gpt-3.5-turbo",
      messages: [
        {
          role: "system",
          content: "You are a content enhancement assistant. Improve the provided content based on the specified enhancement type."
        },
        {
          role: "user",
          content: prompt
        }
      ],
      temperature: 0.3,
      max_tokens: 1000
    }.to_json
  end

  handle_api_error(response) unless response.success?
  
  result = JSON.parse(response.body)
  enhanced_content = result.dig("choices", 0, "message", "content")
  
  {
    original_content: content,
    enhanced_content: enhanced_content,
    enhancement_type: enhancement_type,
    provider: :openai
  }
end

#moderate_content(content, options = {}) ⇒ Object 



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# File 'lib/rack/ai/providers/openai.rb', line 52

def moderate_content(content, options = {})
  response = @client.post("moderations") do |req|
    req.body = {
      input: content,
      model: "text-moderation-latest"
    }.to_json
  end

  handle_api_error(response) unless response.success?
  
  result = JSON.parse(response.body)
  moderation_result = result["results"]&.first || {}
  
  {
    flagged: moderation_result["flagged"] || false,
    categories: moderation_result["categories"] || {},
    category_scores: moderation_result["category_scores"] || {},
    provider: :openai
  }
end

#ping ⇒ Object 



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# File 'lib/rack/ai/providers/openai.rb', line 176

def ping
  response = @client.get("models")
  response.success?
end