1  """
  2  Workflow Output Modes Example
  3  
  4  Demonstrates how to use different output modes with Workflow.
  5  Workflows use the same output presets as Agent for consistency (DRY approach).
  6  
  7  Available presets:
  8  - silent: No output (default, fastest)
  9  - status: Tool calls + final output inline
 10  - trace: Timestamped execution trace
 11  - verbose: Full Rich panels
 12  - debug: Trace + metrics
 13  - json: JSONL output for piping
 14  """
 15  
 16  from praisonaiagents import Agent, Workflow
 17  
 18  
 19  def main():
 20      # Create a simple agent
 21      researcher = Agent(
 22          name="Researcher",
 23          role="Research Analyst",
 24          goal="Research and provide information",
 25          instructions="You are a research analyst. Provide concise, factual information."
 26      )
 27      
 28      # Example 1: Status output (recommended for CLI)
 29      print("=" * 50)
 30      print("Example 1: Status Output (output='status')")
 31      print("=" * 50)
 32      
 33      workflow_status = AgentFlow(
 34          name="Status Example",
 35          steps=[researcher],
 36          output="status"  # Shows: ▸ tool → result ✓
 37      )
 38      # result = workflow_status.start("What is Python?")
 39      print("Workflow created with output='status'")
 40      print(f"  actions_trace: {getattr(workflow_status._output_config, 'actions_trace', False)}")
 41      print()
 42      
 43      # Example 2: Trace output (with timestamps)
 44      print("=" * 50)
 45      print("Example 2: Trace Output (output='trace')")
 46      print("=" * 50)
 47      
 48      workflow_trace = AgentFlow(
 49          name="Trace Example",
 50          steps=[researcher],
 51          output="trace"  # Shows: [HH:MM:SS] ▸ tool → result [0.2s] ✓
 52      )
 53      print("Workflow created with output='trace'")
 54      print(f"  status_trace: {getattr(workflow_trace._output_config, 'status_trace', False)}")
 55      print()
 56      
 57      # Example 3: Verbose output (Rich panels)
 58      print("=" * 50)
 59      print("Example 3: Verbose Output (output='verbose')")
 60      print("=" * 50)
 61      
 62      workflow_verbose = AgentFlow(
 63          name="Verbose Example",
 64          steps=[researcher],
 65          output="verbose"  # Full interactive display
 66      )
 67      print("Workflow created with output='verbose'")
 68      print(f"  verbose: {getattr(workflow_verbose._output_config, 'verbose', False)}")
 69      print()
 70      
 71      # Example 4: Silent output (default, fastest)
 72      print("=" * 50)
 73      print("Example 4: Silent Output (output='silent' or default)")
 74      print("=" * 50)
 75      
 76      workflow_silent = AgentFlow(
 77          name="Silent Example",
 78          steps=[researcher],
 79          output="silent"  # No output - zero overhead
 80      )
 81      print("Workflow created with output='silent'")
 82      print(f"  verbose: {getattr(workflow_silent._output_config, 'verbose', False)}")
 83      print(f"  actions_trace: {getattr(workflow_silent._output_config, 'actions_trace', False)}")
 84      print()
 85      
 86      # Example 5: JSON output (for piping)
 87      print("=" * 50)
 88      print("Example 5: JSON Output (output='json')")
 89      print("=" * 50)
 90      
 91      workflow_json = AgentFlow(
 92          name="JSON Example",
 93          steps=[researcher],
 94          output="json"  # JSONL output for scripting
 95      )
 96      print("Workflow created with output='json'")
 97      print(f"  json_output: {getattr(workflow_json._output_config, 'json_output', False)}")
 98      print()
 99      
100      print("=" * 50)
101      print("All examples completed successfully!")
102      print("=" * 50)
103  
104  
105  if __name__ == "__main__":
106      main()