Class: N2B::Llm::Claude

Inherits:
Object
  • Object
show all
Defined in:
lib/n2b/llm/claude.rb

Constant Summary collapse

API_URI = 
URI.parse('https://api.anthropic.com/v1/messages')

Instance Method Summary collapse

Constructor Details

#initialize(config) ⇒ Claude

Returns a new instance of Claude.



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# File 'lib/n2b/llm/claude.rb', line 8

def initialize(config)
  @config = config
end

Instance Method Details

#analyze_code_diff(prompt_content) ⇒ Object 



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# File 'lib/n2b/llm/claude.rb', line 62

def analyze_code_diff(prompt_content)
  # This method assumes prompt_content is the full, ready-to-send prompt
  # including all instructions for the LLM (system message, diff, user additions, JSON format).
  uri = URI.parse('https://api.anthropic.com/v1/messages')
  request = Net::HTTP::Post.new(uri)
  request.content_type = 'application/json'
  request['X-API-Key'] = @config['access_key']
  request['anthropic-version'] = '2023-06-01'

  request.body = JSON.dump({
    "model" => get_model_name,
    "max_tokens" => @config['max_tokens'] || 1024,
    "messages" => [
      {
        "role" => "user",
        "content" => prompt_content
      }
    ]
  })

  response = Net::HTTP.start(uri.hostname, uri.port, use_ssl: true) do |http|
    http.request(request)
  end

  if response.code != '200'
    raise N2B::LlmApiError.new("LLM API Error: #{response.code} #{response.message} - #{response.body}")
  end

  # Return the raw JSON string. CLI's call_llm_for_diff_analysis will handle parsing.
  # The Claude API for messages returns the analysis in response.body['content'].first['text']
  # which should itself be a JSON string as per our prompt's instructions.
  JSON.parse(response.body)['content'].first['text']
end

#get_model_name ⇒ Object 



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# File 'lib/n2b/llm/claude.rb', line 12

def get_model_name
  # Resolve model name using the centralized configuration
  model_name = N2B::ModelConfig.resolve_model('claude', @config['model'])
  if model_name.nil? || model_name.empty?
    # Fallback to default if no model specified
    model_name = N2B::ModelConfig.resolve_model('claude', N2B::ModelConfig.default_model('claude'))
  end
  model_name
end

#make_request(content) ⇒ Object 



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# File 'lib/n2b/llm/claude.rb', line 22

def make_request( content)
  uri = URI.parse('https://api.anthropic.com/v1/messages')
  request = Net::HTTP::Post.new(uri)
  request.content_type = 'application/json'
  request['X-API-Key'] = @config['access_key']
  request['anthropic-version'] = '2023-06-01'

  request.body = JSON.dump({
    "model" => get_model_name,
    "max_tokens" => 1024,
    "messages" => [
      {
        "role" => "user",
        "content" => content
      }
    ]
  })

  response = Net::HTTP.start(uri.hostname, uri.port, use_ssl: true) do |http|
    http.request(request)
  end
  # check for errors
  if response.code != '200'
    raise N2B::LlmApiError.new("LLM API Error: #{response.code} #{response.message} - #{response.body}")
  end
  answer = JSON.parse(response.body)['content'].first['text']
  begin
    answer = answer.sub(/.*?\{(.*)\}.*/m, '{\1}') unless answer.start_with?('{')
    answer.gsub!(/"([^"]*)"/) { |match| match.gsub(/\n/, "\\n") }
    answer = JSON.parse(answer)
  rescue JSON::ParserError
    # This specific JSON parsing error is about the LLM's *response content*, not an API error.
    # It should probably be handled differently, but the subtask is about LlmApiError.
    # For now, keeping existing behavior for this part.
    puts "Error parsing JSON from LLM response: #{answer}"
    answer = { 'explanation' => answer} # Default fallback
  end
  answer
end