Class: DeepAgentsRb::ReactAgent

Inherits:
Object
  • Object
show all
Defined in:
lib/deepagents/deepagentsrb/sub_agent.rb

Overview

Simple React Agent implementation

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(model, prompt, tools, state_class) ⇒ ReactAgent

Returns a new instance of ReactAgent.



101
102
103
104
105
106
 
# File 'lib/deepagents/deepagentsrb/sub_agent.rb', line 101

def initialize(model, prompt, tools, state_class)
  @model = model
  @prompt = prompt
  @tools = tools
  @state_class = state_class
end

Instance Attribute Details

#model ⇒ Object (readonly)

Returns the value of attribute model.



99
100
101
 
# File 'lib/deepagents/deepagentsrb/sub_agent.rb', line 99

def model
  @model
end

#prompt ⇒ Object (readonly)

Returns the value of attribute prompt.



99
100
101
 
# File 'lib/deepagents/deepagentsrb/sub_agent.rb', line 99

def prompt
  @prompt
end

#state_class ⇒ Object (readonly)

Returns the value of attribute state_class.



99
100
101
 
# File 'lib/deepagents/deepagentsrb/sub_agent.rb', line 99

def state_class
  @state_class
end

#tools ⇒ Object (readonly)

Returns the value of attribute tools.



99
100
101
 
# File 'lib/deepagents/deepagentsrb/sub_agent.rb', line 99

def tools
  @tools
end

Instance Method Details

#invoke(state) ⇒ Object 



108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
 
# File 'lib/deepagents/deepagentsrb/sub_agent.rb', line 108

def invoke(state)
  # In a real implementation, this would use the LLM to:
  # 1. Process the input state
  # 2. Decide which tool to use
  # 3. Call the tool
  # 4. Process the tool result
  # 5. Repeat until done
  # 6. Return the final response
  
  # For now, we'll just return a simple response
  state.update(
    messages: [{ role: "assistant", content: "I've completed the task: #{state.messages.last[:content]}" }]
  )
  
  state
end