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claude[bot]andMervin Praison
9f7993ac40
- simple_input.py: Basic user input example - medium_complexity_input.py: Multiple inputs with tools and context - advanced_dynamic_input.py: Class-based system with conditional logic - environment_variable_input.py: Combining env vars with user input - streamlit_ui_input.py: Web-based UI for dynamic input These examples demonstrate various approaches to handling dynamic user input in PraisonAI agents. Closes #66 Co-authored-by: Mervin Praison <[email protected]>
60 lines
1.8 KiB
Python
60 lines
1.8 KiB
Python
"""
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Environment Variable Input Example for PraisonAI
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This example demonstrates how to use environment variables combined with user input
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to create flexible agent configurations that can be pre-configured via environment.
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"""
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import os
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from praisonaiagents import Agent, Task, PraisonAIAgents
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# Set via environment or use default
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default_topic = os.getenv("RESEARCH_TOPIC", "AI trends")
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user_topic = input(f"Topic to research [{default_topic}]: ") or default_topic
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# Get other configuration from environment
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llm_model = os.getenv("LLM_MODEL", "gpt-4o-mini")
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temperature = float(os.getenv("LLM_TEMPERATURE", "0.7"))
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max_retries = int(os.getenv("MAX_RETRIES", "3"))
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# Create agent with environment-based configuration
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agent = Agent(
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name="Researcher",
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role="Research Assistant",
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goal=f"Research {user_topic}",
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backstory="Expert researcher with configurable capabilities",
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llm={
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"model": llm_model,
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"temperature": temperature
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},
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max_retry_limit=max_retries
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)
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# Create task
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task = Task(
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description=f"Research and summarize: {user_topic}",
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expected_output="Comprehensive summary with key findings",
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agent=agent
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)
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# Show configuration
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print(f"\n🔧 Configuration:")
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print(f" - Topic: {user_topic}")
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print(f" - Model: {llm_model}")
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print(f" - Temperature: {temperature}")
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print(f" - Max Retries: {max_retries}")
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print("\n" + "="*50 + "\n")
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# Run agents
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agents = PraisonAIAgents(agents=[agent], tasks=[task])
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result = agents.start()
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# Save to environment-specified location if provided
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output_path = os.getenv("OUTPUT_PATH")
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if output_path:
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output_file = os.path.join(output_path, f"{user_topic.replace(' ', '_')}_research.txt")
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with open(output_file, 'w', encoding='utf-8') as f:
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f.write(result)
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print(f"\n📁 Results saved to: {output_file}")
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print("\n✅ Research completed!") |