mirror of
https://github.com/MervinPraison/PraisonAI.git
synced 2026-11-09 03:39:37 -10:00
Mervin Praison
6168401a69
- Replace WorkflowManager examples with Workflow class - Emphasize Agent objects as workflow steps - Streamline pattern examples (route, parallel, loop, repeat) with agent-based usage - Remove complex WorkflowStep configuration examples - Consolidate workflow features into clearer, more concise examples - Remove workflow comparison table and memory config examples - Focus on core workflow patterns with practical agent examples
84 lines
2.6 KiB
Python
84 lines
2.6 KiB
Python
"""
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Agentic Conditional Workflow Example
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Demonstrates using should_run to conditionally execute agent steps
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based on input or previous results.
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"""
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from praisonaiagents import Agent, Workflow, WorkflowStep
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# Condition functions
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def is_technical(ctx) -> bool:
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"""Only run technical review for technical content."""
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keywords = ["code", "programming", "algorithm", "database", "api"]
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return any(keyword in ctx.input.lower() for keyword in keywords)
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def needs_creative(ctx) -> bool:
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"""Only run creative enhancement for creative content."""
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keywords = ["story", "poem", "creative", "write", "narrative"]
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return any(keyword in ctx.input.lower() for keyword in keywords)
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# Create agents
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analyzer = Agent(
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name="Analyzer",
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role="Content Analyzer",
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goal="Analyze and process content",
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instructions="Analyze the given content and provide insights."
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)
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tech_reviewer = Agent(
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name="TechReviewer",
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role="Technical Reviewer",
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goal="Review technical content",
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instructions="Review the technical aspects and provide technical feedback."
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)
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creative_enhancer = Agent(
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name="CreativeEnhancer",
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role="Creative Enhancer",
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goal="Enhance creative content",
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instructions="Enhance the creative aspects and make it more engaging."
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)
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finalizer = Agent(
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name="Finalizer",
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role="Content Finalizer",
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goal="Finalize the content",
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instructions="Provide the final polished version of the content."
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)
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# Create workflow with conditional steps
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workflow = Workflow(
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name="Conditional Agentic Pipeline",
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steps=[
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analyzer, # Always runs
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WorkflowStep(
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name="tech_review",
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agent=tech_reviewer,
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should_run=is_technical # Only runs for technical content
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),
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WorkflowStep(
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name="creative_enhance",
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agent=creative_enhancer,
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should_run=needs_creative # Only runs for creative content
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),
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finalizer # Always runs
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]
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)
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if __name__ == "__main__":
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# Test 1: Technical content
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print("=== Test 1: Technical Content ===")
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result = workflow.start("Review this Python code for best practices", verbose=True)
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print(f"Output: {result['output'][:200]}...\n")
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# Test 2: Creative content
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print("=== Test 2: Creative Content ===")
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result = workflow.start("Write a short story about a robot", verbose=True)
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print(f"Output: {result['output'][:200]}...\n")
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# Test 3: General content (neither technical nor creative)
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print("=== Test 3: General Content ===")
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result = workflow.start("What is the weather like today?", verbose=True)
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print(f"Output: {result['output'][:200]}...")
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