Class: Langchain::Assistant::Messages::GoogleGeminiMessage

Inherits:
Base
  • Object
show all
Defined in:
lib/langchain/assistant/messages/google_gemini_message.rb

Constant Summary collapse

ROLES =

Google Gemini uses the following roles:

[
  "user",
  "model",
  "function"
].freeze
TOOL_ROLE = 
"function"

Instance Attribute Summary

Attributes inherited from Base

#content, #image_url, #role, #tool_call_id, #tool_calls

Instance Method Summary collapse

Methods inherited from Base

#standard_role, #user?

Constructor Details

#initialize(role:, content: nil, tool_calls: [], tool_call_id: nil) ⇒ GoogleGeminiMessage

Initialize a new Google Gemini message

Parameters:

  • role (String) —

    The role of the message

  • content (String) (defaults to: nil) —

    The content of the message

  • tool_calls (Array<Hash>) (defaults to: []) —

    The tool calls made in the message

  • tool_call_id (String) (defaults to: nil) —

    The ID of the tool call

Raises:

  • (ArgumentError) 


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# File 'lib/langchain/assistant/messages/google_gemini_message.rb', line 22

def initialize(role:, content: nil, tool_calls: [], tool_call_id: nil)
  raise ArgumentError, "Role must be one of #{ROLES.join(", ")}" unless ROLES.include?(role)
  raise ArgumentError, "Tool calls must be an array of hashes" unless tool_calls.is_a?(Array) && tool_calls.all? { |tool_call| tool_call.is_a?(Hash) }

  @role = role
  # Some Tools return content as a JSON hence `.to_s`
  @content = content.to_s
  @tool_calls = tool_calls
  @tool_call_id = tool_call_id
end

Instance Method Details

#function? ⇒ Boolean

Check if the message is a tool call

Returns:

  • (Boolean) —

    true/false whether this message is a tool call



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# File 'lib/langchain/assistant/messages/google_gemini_message.rb', line 79

def function?
  role == "function"
end

#llm? ⇒ Boolean

Check if the message came from an LLM

Returns:

  • (Boolean) —

    true/false whether this message was produced by an LLM



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# File 'lib/langchain/assistant/messages/google_gemini_message.rb', line 36

def llm?
  model?
end

#model? ⇒ Boolean

Check if the message came from an LLM

Returns:

  • (Boolean) —

    true/false whether this message was produced by an LLM



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# File 'lib/langchain/assistant/messages/google_gemini_message.rb', line 86

def model?
  role == "model"
end

#system? ⇒ Boolean

Google Gemini does not implement system prompts

Returns:

  • (Boolean) 


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# File 'lib/langchain/assistant/messages/google_gemini_message.rb', line 65

def system?
  false
end

#to_hash ⇒ Hash

Convert the message to a Google Gemini API-compatible hash

Returns:

  • (Hash) —

    The message as a Google Gemini API-compatible hash



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# File 'lib/langchain/assistant/messages/google_gemini_message.rb', line 43

def to_hash
  {}.tap do |h|
    h[:role] = role
    h[:parts] = if function?
      [{
        functionResponse: {
          name: tool_call_id,
          response: {
            name: tool_call_id,
            content: content
          }
        }
      }]
    elsif tool_calls.any?
      tool_calls
    else
      [{text: content}]
    end
  end
end

#tool? ⇒ Boolean

Check if the message is a tool call

Returns:

  • (Boolean) —

    true/false whether this message is a tool call



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# File 'lib/langchain/assistant/messages/google_gemini_message.rb', line 72

def tool?
  function?
end