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output_json=task_details.get('output_json') iftask_details.get('output_json') isnotNoneelseNone, # Outputs a JSON object
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output_pydantic=task_details.get('output_pydantic') iftask_details.get('output_pydantic') isnotNoneelseNone, # Outputs a Pydantic model object
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output_file=task_details.get('output_file') iftask_details.get('output_file') isnotNoneelse"", # Saves the task output to a file
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callback=task_details.get('callback') iftask_details.get('callback') isnotNoneelseNone, # Python callable executed with the task's output
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human_input=task_details.get('human_input') iftask_details.get('human_input') isnotNoneelseFalse, # Indicates if the task requires human feedback
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create_directory=task_details.get('create_directory') iftask_details.get('create_directory') isnotNoneelseFalse# Indicates if a directory needs to be created
Copy file name to clipboardExpand all lines: pyproject.toml
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[tool.poetry]
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name = "PraisonAI"
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version = "0.0.40"
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version = "0.0.41"
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description = "PraisonAI application combines AutoGen and CrewAI or similar frameworks into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customization, and efficient human-agent collaboration."
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