Module: DeepAgentsRb::Graph

Defined in:
lib/deepagents/deepagentsrb/graph.rb

Constant Summary collapse

BASE_PROMPT =

Base prompt for all deep agents

<<~PROMPT
  You have access to a number of standard tools

  ## `write_todos`

  You have access to the `write_todos` tools to help you manage and plan tasks. Use these tools VERY frequently to ensure that you are tracking your tasks and giving the user visibility into your progress.
  These tools are also EXTREMELY helpful for planning tasks, and for breaking down larger complex tasks into smaller steps. If you do not use this tool when planning, you may forget to do important tasks - and that is unacceptable.

  It is critical that you mark todos as completed as soon as you are done with a task. Do not batch up multiple tasks before marking them as completed.
  ## `task`

  - When doing web search, prefer to use the `task` tool in order to reduce context usage.
PROMPT

Class Method Summary collapse

Class Method Details

.create_deep_agent(tools, instructions, model: nil, subagents: nil, state_schema: nil) ⇒ Object

Create a deep agent



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# File 'lib/deepagents/deepagentsrb/graph.rb', line 30

def self.create_deep_agent(tools, instructions, model: nil, subagents: nil, state_schema: nil)
  # Combine instructions with base prompt
  prompt = instructions + BASE_PROMPT
  
  # Get built-in tools
  built_in_tools = Tools.built_in_tools
  
  # Set default model if not provided
  model ||= get_default_model
  
  # Set default state schema
  state_schema ||= DeepAgentState
  
  # Convert subagents to proper format if provided
  subagents = (subagents || []).map do |agent|
    if agent.is_a?(Hash)
      SubAgent.from_h(agent)
    else
      agent
    end
  end
  
  # Create task tool for delegating to sub-agents
  task_tool = SubAgentSystem.create_task_tool(
    tools + built_in_tools,
    instructions,
    subagents,
    model,
    state_schema
  )
  
  # Combine all tools
  all_tools = built_in_tools + tools + [task_tool]
  
  # Create and return the deep agent
  DeepAgent.new(model, prompt, all_tools, state_schema)
end

.get_default_model ⇒ Object

Get the default model



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# File 'lib/deepagents/deepagentsrb/graph.rb', line 25

def self.get_default_model
  Models.get_default_model
end