Module: PWN::AI::Grok

Defined in:
lib/pwn/ai/grok.rb

Overview

This plugin interacts with xAI’s Grok API, similar to the Grok plugin. It provides methods to list models, generate completions, and chat. API documentation: docs.x.ai/docs Obtain an API key from x.ai/api

Class Method Summary collapse

Class Method Details

.authorsObject

Author(s)

0day Inc. <support@0dayinc.com>



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# File 'lib/pwn/ai/grok.rb', line 286

public_class_method def self.authors
  "AUTHOR(S):
    0day Inc. <support@0dayinc.com>
  "
end

.chat(opts = {}) ⇒ Object

Supported Method Parameters

response = PWN::AI::Grok.chat(

request: 'required - message to Grok'
model: 'optional - model to use for text generation (defaults to PWN::Env[:ai][:grok][:model])',
temp: 'optional - creative response float (deafults to PWN::Env[:ai][:grok][:temp])',
system_role_content: 'optional - context to set up the model behavior for conversation (Default: PWN::Env[:ai][:grok][:system_role_content])',
response_history: 'optional - pass response back in to have a conversation',
speak_answer: 'optional speak answer using PWN::Plugins::Voice.text_to_speech (Default: nil)',
timeout: 'optional timeout in seconds (defaults to 300)',
spinner: 'optional - display spinner (defaults to false)'

)



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# File 'lib/pwn/ai/grok.rb', line 202

public_class_method def self.chat(opts = {})
  engine = PWN::Env[:ai][:grok]
  request = opts[:request]
  max_prompt_length = engine[:max_prompt_length] ||= 256_000
  request_trunc_idx = ((max_prompt_length - 1) / 3.36).floor
  request = request[0..request_trunc_idx]

  model = opts[:model] ||= engine[:model]
  raise 'ERROR: Model is required.  Call #get_models method for details' if model.nil?

  temp = opts[:temp].to_f ||= engine[:temp].to_f
  temp = 1 if temp.zero?

  rest_call = 'chat/completions'

  response_history = opts[:response_history]

  max_tokens = response_history[:usage][:total_tokens] unless response_history.nil?

  system_role_content = opts[:system_role_content] ||= engine[:system_role_content]

  system_role = {
    role: 'system',
    content: system_role_content
  }

  user_role = {
    role: 'user',
    content: request
  }

  response_history ||= { choices: [system_role] }
  choices_len = response_history[:choices].length

  http_body = {
    model: model,
    messages: [system_role],
    temperature: temp,
    stream: false
  }

  if response_history[:choices].length > 1
    response_history[:choices][1..-1].each do |message|
      http_body[:messages].push(message)
    end
  end

  http_body[:messages].push(user_role)

  timeout = opts[:timeout]
  spinner = opts[:spinner]

  response = grok_rest_call(
    http_method: :post,
    rest_call: rest_call,
    http_body: http_body,
    timeout: timeout,
    spinner: spinner
  )

  json_resp = JSON.parse(response, symbolize_names: true)
  assistant_resp = json_resp[:choices].first[:message]
  json_resp[:choices] = http_body[:messages]
  json_resp[:choices].push(assistant_resp)

  speak_answer = true if opts[:speak_answer]

  if speak_answer
    answer = assistant_resp[:content]
    text_path = "/tmp/#{SecureRandom.hex}.pwn_voice"
    # answer = json_resp[:choices].last[:text]
    # answer = json_resp[:choices].last[:content] if gpt
    File.write(text_path, answer)
    PWN::Plugins::Voice.text_to_speech(text_path: text_path)
    File.unlink(text_path)
  end

  json_resp
rescue StandardError => e
  raise e
end

.chat_raw(opts = {}) ⇒ Object

Supported Method Parameters

response = PWN::AI::Grok.chat_raw(

messages: 'required - full OpenAI-format messages array (system/user/assistant/tool)',
tools: 'optional - OpenAI tools array [{type:"function", function:{...}}]',
tool_choice: 'optional - "auto" | "none" | "required" | {type:"function", function:{name:..}}',
model: 'optional - overrides PWN::Env[:ai][:grok][:model]',
temp: 'optional - temperature (defaults to PWN::Env[:ai][:grok][:temp] || 1)',
timeout: 'optional - seconds (default 180)',
spinner: 'optional - display spinner (default false)'

)

Returns the raw chat/completions response Hash with :choices intact (including :message) — used by PWN::AI::Agent::Loop. xAI’s API is OpenAI-compatible for tool calling, so the request and response shapes are identical to PWN::AI::OpenAI.chat_raw.



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# File 'lib/pwn/ai/grok.rb', line 154

public_class_method def self.chat_raw(opts = {})
  engine   = PWN::Env[:ai][:grok]
  messages = opts[:messages]
  raise 'ERROR: messages array is required' if messages.nil? || messages.empty?

  model = opts[:model] ||= engine[:model]
  raise 'ERROR: Model is required.  Call #get_models method for details' if model.nil?

  temp = opts[:temp].to_f
  temp = engine[:temp].to_f.nonzero? || 1 if temp.zero?

  http_body = {
    model: model,
    messages: messages,
    temperature: temp,
    stream: false
  }
  http_body[:tools]       = opts[:tools]       if opts[:tools] && !opts[:tools].empty?
  http_body[:tool_choice] = opts[:tool_choice] if opts[:tool_choice]

  response = grok_rest_call(
    http_method: :post,
    rest_call: 'chat/completions',
    http_body: http_body,
    timeout: opts[:timeout],
    spinner: opts[:spinner]
  )
  return nil if response.nil?

  json_resp = JSON.parse(response, symbolize_names: true)
  json_resp[:assistant_message] = json_resp.dig(:choices, 0, :message)
  json_resp
rescue StandardError => e
  raise e
end

.get_modelsObject

Supported Method Parameters

models = PWN::AI::Grok.get_models



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# File 'lib/pwn/ai/grok.rb', line 130

public_class_method def self.get_models
  models = grok_rest_call(rest_call: 'models')

  JSON.parse(models, symbolize_names: true)[:data]
rescue StandardError => e
  raise e
end

.helpObject

Display Usage for this Module



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# File 'lib/pwn/ai/grok.rb', line 294

public_class_method def self.help
  puts "USAGE:
    models = #{self}.get_models

    response = #{self}.chat(
      request: 'required - message to Grok',
      model: 'optional - model to use for text generation (defaults to PWN::Env[:ai][:grok][:model])',
      temp: 'optional - creative response float (defaults to PWN::Env[:ai][:grok][:temp])',
      system_role_content: 'optional - context to set up the model behavior for conversation (Default: PWN::Env[:ai][:grok][:system_role_content])',
      response_history: 'optional - pass response back in to have a conversation',
      speak_answer: 'optional speak answer using PWN::Plugins::Voice.text_to_speech (Default: nil)',
      timeout: 'optional - timeout in seconds (defaults to 300)'.
      spinner: 'optional - display spinner (defaults to false)'
    )

    #{self}.authors
  "
end