mirror of
https://github.com/MervinPraison/PraisonAI.git
synced 2026-11-08 17:31:00 -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
60 lines
1.7 KiB
Python
60 lines
1.7 KiB
Python
"""
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Agentic Loop with CSV Workflow Example
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Demonstrates iterating over a CSV file with an agent processing each row.
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"""
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from praisonaiagents import Agent, Workflow
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from praisonaiagents.workflows import loop
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import tempfile
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import os
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# Create sample CSV file content
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csv_content = """topic,description
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AI Ethics,Ethical considerations in artificial intelligence
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Machine Learning,Algorithms that learn from data
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Neural Networks,Computing systems inspired by biological neural networks
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Natural Language Processing,AI understanding human language"""
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# Create processor agent
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processor = Agent(
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name="TopicProcessor",
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role="Topic Analyst",
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goal="Analyze and explain topics",
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instructions="Provide a brief, insightful analysis of the given topic."
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)
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# Create summarizer agent
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summarizer = Agent(
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name="Summarizer",
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role="Results Summarizer",
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goal="Summarize all processed results",
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instructions="Create a comprehensive summary of all the analyzed topics."
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)
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if __name__ == "__main__":
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# Create temp CSV file
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with tempfile.NamedTemporaryFile(mode='w', suffix='.csv', delete=False) as f:
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f.write(csv_content)
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csv_path = f.name
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try:
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print("=== Testing Agentic Loop with CSV ===\n")
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print(f"Processing CSV: {csv_path}\n")
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# Create workflow with loop over CSV
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workflow = Workflow(
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name="CSV Topic Processor",
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steps=[
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loop(processor, from_csv=csv_path),
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summarizer
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]
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)
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result = workflow.start("Analyze these AI topics", verbose=True)
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print(f"\nFinal Summary:\n{result['output']}")
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finally:
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os.unlink(csv_path)
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