mirror of
https://github.com/MervinPraison/PraisonAI.git
synced 2026-11-07 12:47:55 -10:00
Dhivya-BharathyandCursor
e182b36257
- Kill Windows subprocess trees on suite-runner timeout (uvicorn hang) - Restore Agent.launch() shared server globals in execution_mixin - Add missing praisonai_code.cli.features.agent_tools module - Fix compression_demo ContextCompressor API usage - Import AgentFlow in workflow output/routing examples - Use UTF-8 when parsing doctor ci subprocess output on Windows - Set BrowserBaseTool __name__ for agent tool schema compatibility Co-authored-by: Cursor <[email protected]>
107 lines
3.3 KiB
Python
107 lines
3.3 KiB
Python
"""
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Workflow Output Modes Example
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Demonstrates how to use different output modes with Workflow.
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Workflows use the same output presets as Agent for consistency (DRY approach).
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Available presets:
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- silent: No output (default, fastest)
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- status: Tool calls + final output inline
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- trace: Timestamped execution trace
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- verbose: Full Rich panels
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- debug: Trace + metrics
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- json: JSONL output for piping
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"""
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from praisonaiagents import Agent, AgentFlow, Workflow
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def main():
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# Create a simple agent
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researcher = Agent(
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name="Researcher",
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role="Research Analyst",
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goal="Research and provide information",
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instructions="You are a research analyst. Provide concise, factual information."
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)
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# Example 1: Status output (recommended for CLI)
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print("=" * 50)
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print("Example 1: Status Output (output='status')")
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print("=" * 50)
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workflow_status = AgentFlow(
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name="Status Example",
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steps=[researcher],
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output="status" # Shows: ▸ tool → result ✓
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)
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# result = workflow_status.start("What is Python?")
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print("Workflow created with output='status'")
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print(f" actions_trace: {getattr(workflow_status._output_config, 'actions_trace', False)}")
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print()
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# Example 2: Trace output (with timestamps)
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print("=" * 50)
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print("Example 2: Trace Output (output='trace')")
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print("=" * 50)
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workflow_trace = AgentFlow(
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name="Trace Example",
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steps=[researcher],
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output="trace" # Shows: [HH:MM:SS] ▸ tool → result [0.2s] ✓
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)
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print("Workflow created with output='trace'")
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print(f" status_trace: {getattr(workflow_trace._output_config, 'status_trace', False)}")
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print()
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# Example 3: Verbose output (Rich panels)
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print("=" * 50)
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print("Example 3: Verbose Output (output='verbose')")
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print("=" * 50)
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workflow_verbose = AgentFlow(
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name="Verbose Example",
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steps=[researcher],
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output="verbose" # Full interactive display
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)
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print("Workflow created with output='verbose'")
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print(f" verbose: {getattr(workflow_verbose._output_config, 'verbose', False)}")
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print()
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# Example 4: Silent output (default, fastest)
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print("=" * 50)
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print("Example 4: Silent Output (output='silent' or default)")
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print("=" * 50)
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workflow_silent = AgentFlow(
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name="Silent Example",
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steps=[researcher],
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output="silent" # No output - zero overhead
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)
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print("Workflow created with output='silent'")
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print(f" verbose: {getattr(workflow_silent._output_config, 'verbose', False)}")
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print(f" actions_trace: {getattr(workflow_silent._output_config, 'actions_trace', False)}")
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print()
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# Example 5: JSON output (for piping)
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print("=" * 50)
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print("Example 5: JSON Output (output='json')")
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print("=" * 50)
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workflow_json = AgentFlow(
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name="JSON Example",
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steps=[researcher],
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output="json" # JSONL output for scripting
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)
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print("Workflow created with output='json'")
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print(f" json_output: {getattr(workflow_json._output_config, 'json_output', False)}")
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print()
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print("=" * 50)
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print("All examples completed successfully!")
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print("=" * 50)
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if __name__ == "__main__":
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main()
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