Class: CircuitBreaker::Executors::AgentExecutor

Inherits:
BaseExecutor
  • Object
show all
Defined in:
lib/circuit_breaker/executors/agent_executor.rb

Constant Summary collapse

MAX_ITERATIONS = 
10

Instance Attribute Summary

Attributes inherited from BaseExecutor

#context, #result

Instance Method Summary collapse

Methods included from DSL

included, #validate_parameters

Constructor Details

#initialize(context = {}) ⇒ AgentExecutor

Returns a new instance of AgentExecutor.



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# File 'lib/circuit_breaker/executors/agent_executor.rb', line 21

def initialize(context = {})
  super
  @agent_type = context[:agent_type]
  @task = context[:task]
  @model = context[:model] || 'gpt-4'
  @model_provider = context[:model_provider] || detect_model_provider(@model)
  @ollama_base_url = context[:ollama_base_url] || 'http://localhost:11434'
  @system_prompt = context[:system_prompt]
  @memory = LLM::ChainMemory.new
  @toolkit = setup_toolkit(context[:tools] || [])
  @parameters = context[:parameters] || {}
end

Instance Method Details

#execute ⇒ Object 



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# File 'lib/circuit_breaker/executors/agent_executor.rb', line 34

def execute
  return unless @task

  iteration = 0
  final_output = nil

  while iteration < MAX_ITERATIONS
    # Get current state and plan next action
    current_state = prepare_state(iteration)
    action_plan = plan_next_action(current_state)

    break if action_plan[:status] == 'complete'

    # Execute planned action
    action_result = execute_action(action_plan)
    
    # Store intermediate results
    @memory.add_step_result(
      step_name: action_plan[:action],
      input: action_plan[:input],
      output: action_result,
      metadata: { iteration: iteration }
    )

    final_output = action_result
    iteration += 1
  end

  @result = {
    task: @task,
    iterations: iteration,
    final_output: final_output,
    memory: @memory.to_h,
    status: iteration < MAX_ITERATIONS ? 'completed' : 'max_iterations_reached'
  }
end