Class: Llm::CLI

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

Instance Method Summary collapse

Instance Method Details

#find_file(filename) ⇒ Object

Find the closest .llm-cli-config.yml file in the current directory, any parent directory or the users home directory



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# File 'lib/llm/cli.rb', line 65

def find_file(filename)
  paths = []
  path_pieces = Dir.pwd.split(File::SEPARATOR)
  while path_pieces.any?
    path = path_pieces.join(File::SEPARATOR)
    path_pieces.pop
    paths << [path, filename].join(File::SEPARATOR)
  end
  paths << [ENV["HOME"], filename].join(File::SEPARATOR) if ENV["HOME"]
  result = paths.detect { |path| File.exist?(path) }
  result
end

#os_info ⇒ Object 



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# File 'lib/llm/cli.rb', line 12

def os_info
  host_os = RbConfig::CONFIG['host_os']
  
  case host_os
  when /linux/
    os_name = "Linux"
  when /darwin/
    os_name = "Mac"
  when /mswin|msys|mingw|cygwin|bccwin|wince|emc/
    os_name = "Windows"
  else
    os_name = "Unknown"
  end

  version = RbConfig::CONFIG['host_os']

  { os_name: os_name, version: version }
end

#run(argv = nil) ⇒ Object 



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# File 'lib/llm/cli.rb', line 31

def run(argv=nil)
  os = os_info
  prompt = "You are a systems engineer working on #{os[:os_name]} (version #{os[:version]}). Your job is to write a shell commands. Please return your best guess as a single command that can be directly executed. If you must, you may include a short note, but please use comments so the results are directly executable. Please write a command that will:\n"

  config = { 
    "model" => "gpt-4o",
    "temperature" => 0.7, 
    "prompt" => prompt,
    "openai_api_key" => ENV["OPENAI_API_KEY"],
    "openai_organization_id" => ENV["OPENAI_ORGANIZATION_ID"]
  }
  config_filename = find_file(".llm-cli-config.yml")
  config_file = YAML.load_file(".llm-cli-config.yml") if config_filename
  config.merge!(config_file) if config_file

  if config["openai_api_key"].nil?
    puts "Please set OPENAI_API_KEY environment variable"
    exit 1
  end

  prompt = config["prompt"] + (argv || []).join(" ")

  client = OpenAI::Client.new(access_token: config["openai_api_key"], organization_id: config["openai_organization_id"])
  response = client.chat(
    parameters: {
      model: config["model"],
      temperature: config["temperature"],
      messages: [{ role: "user", content: prompt }]
    }
  )
  puts response.dig("choices", 0, "message", "content")
end