Module: LLM::Bedrock

Defined in:
lib/scout/llm/backends/bedrock.rb

Class Method Summary collapse

Class Method Details

.ask(question, options = {}, &block) ⇒ Object 



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# File 'lib/scout/llm/backends/bedrock.rb', line 39

def self.ask(question, options = {}, &block)
  client, region, access_key, secret_key, type = IndiferentHash.process_options options, :client, :region, :access_key, :secret_key, :type

  model_options = IndiferentHash.pull_keys options, :model
  model = IndiferentHash.process_options model_options, :model

  if client.nil?
    region ||= Scout::Config.get(:region, :bedrock_ask, :ask, :bedrock, env: 'AWS_REGION')
    access_key ||= LLM.get_url_config(:access_key, nil, :bedrock_ask, :ask, :bedrock, env: 'AWS_ACCESS_KEY_ID')
    secret_key ||= LLM.get_url_config(:secret_key, nil, :bedrock_ask, :ask, :bedrock, env: 'AWS_SECRET_ACCESS_KEY')
    client = self.client(region, access_key, secret_key)
  end

  model ||= Scout::Config.get(:model, :bedrock_ask, :ask, :bedrock, env: 'BEDROCK_MODEL_ID')
  type ||= Scout::Config.get(:type, model, default: :messages)

  role, previous_response_id, tools = IndiferentHash.process_options options, :role, :previous_response_id, :tools
  # ScoutCoder: LLM.parse does not exist (the parser lives in Chat and is
  # exposed as LLM.messages, which delegates to Chat.parse); this call
  # raised NoMethodError on every ask. Use the LLM.messages delegation.
  messages = LLM.messages(question, role)

  case type.to_sym 
  when :messages
    body = model_options.merge({
      system: messages.select{|m| m[:role] == 'system'}.collect{|m| m[:content]}*"\n",
      messages: messages.select{|m| m[:role] == 'user'}
    })
  when :prompt
    system, user = messages_to_prompt messages
    body = model_options.merge({
      prompt: user
    })
  else
    raise "Unkown type #{type}"
  end

  Log.debug "Calling bedrock with model: #{model} parameters: #{Log.fingerprint body}"

  response = client.invoke_model(
    model_id: model,
    content_type: 'application/json',
    body: body.to_json
  )

  result = JSON.parse(response.body.string)
  Log.debug "Response: #{Log.fingerprint result}"
  message = result
  tool_calls = self.tool_calls message

  while tool_calls && tool_calls.any?
    messages << message

    cpus = Scout::Config.get :cpus, :tool_calling, default: 3
    tool_calls.each do |tool_call|
      response_message = LLM.tool_response(tool_call, &block)
      messages << response_message
    end

    body[:messages] = messages.compact
    Log.debug "Calling bedrock with parameters: #{Log.fingerprint body}"
    response = client.invoke_model(
      model_id: model,
      content_type: 'application/json',
      body: body.to_json
    )
    result = JSON.parse(response.body.string)
    Log.debug "Response: #{Log.fingerprint result}"

    message = result
    tool_calls = self.tool_calls message
  end

  message.dig('content').collect{|m|
    m['text']
  } * "\n"
end

.client(region, access_key, secret_key) ⇒ Object 



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# File 'lib/scout/llm/backends/bedrock.rb', line 7

def self.client(region, access_key, secret_key)

  credentials = Aws::Credentials.new(access_key, secret_key) if access_key and secret_key
  options = {}
  options[:region] = region if region
  options[:credentials] = credentials if credentials
  Aws::BedrockRuntime::Client.new(options)
end

.embed(text, options = {}) ⇒ Object 



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# File 'lib/scout/llm/backends/bedrock.rb', line 117

def self.embed(text, options = {})
  client, region, access_key, secret_key, model = IndiferentHash.process_options options, :client, :region, :access_key, :secret_key, :model

  if client.nil?
    region ||= Scout::Config.get(:region, :bedrock_embed, :embed, :bedrock, env: 'AWS_REGION')
    access_key ||= LLM.get_url_config(:access_key, nil, :bedrock_embed, :embed, :bedrock, env: 'AWS_ACCESS_KEY_ID')
    secret_key ||= LLM.get_url_config(:secret_key, nil, :bedrock_embed, :embed, :bedrock, env: 'AWS_SECRET_ACCESS_KEY')
    client = self.client(region, access_key, secret_key)
  end

  model ||= Scout::Config.get(:model, :bedrock_embed, :embed, :bedrock, env: 'BEDROCK_EMBED_MODEL_ID', default: 'amazon.titan-embed-text-v1')

  response = client.invoke_model(
    model_id: model,
    content_type: 'application/json',
    body: { inputText: text }.to_json
  )

  result = JSON.parse(response.body.string)
  result['embedding']
end

.messages_to_prompt(messages) ⇒ Object 



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# File 'lib/scout/llm/backends/bedrock.rb', line 25

def self.messages_to_prompt(messages)
  system = []
  user = []
  messages.each do |info|
    role, content = info.values_at :role, :content
    if role.to_s == 'system'
      system << content
    else
      user << content
    end
  end
  [system*"\n", user*"\n"]
end

.tool_calls(message) ⇒ Object

ScoutCoder: Bedrock/Anthropic style payloads wrap the individual calls in a content entry (=> "tool_use", "tool_calls" => [...]). The ask loop used to pass that wrapper itself to LLM.tool_response, which then found neither 'function' nor 'name'/'arguments' and called the tool block with (nil, nil). Unwrap and return the inner tool call entries.



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# File 'lib/scout/llm/backends/bedrock.rb', line 21

def self.tool_calls(message)
  [message.dig('content')].compact.flatten.select{|m| m['tool_calls']}.collect{|m| m['tool_calls']}.flatten
end