Prerequisites

  • Python 3.10 or higher
  • PraisonAI Agents package installed
  • lxml package installed

XML Tools

Use XML Tools to read, write, and manipulate XML data with AI agents.

1

Install Dependencies

First, install the required package:

pip install praisonaiagents
2

Import Components

Import the necessary components:

from praisonaiagents import Agent, Task, PraisonAIAgents
from praisonaiagents.tools import read_xml, write_xml, transform_xml, validate_xml, xml_to_dict, dict_to_xml
3

Create Agent

Create an XML processing agent:

xml_agent = Agent(
    name="XMLProcessor",
    role="XML Processing Specialist",
    goal="Process XML files efficiently and accurately.",
    backstory="Expert in XML file manipulation and validation.",
    tools=[read_xml, write_xml, transform_xml, validate_xml, xml_to_dict, dict_to_xml],
    self_reflect=False
)
4

Define Task

Define the XML processing task:

xml_task = Task(
    description="Parse and validate XML configuration files.",
    expected_output="Validated and processed XML data.",
    agent=xml_agent,
    name="xml_processing"
)
5

Run Agent

Initialize and run the agent:

agents = PraisonAIAgents(
    agents=[xml_agent],
    tasks=[xml_task],
    process="sequential"
)
agents.start()

Understanding XML Tools

What are XML Tools?

XML Tools provide XML processing capabilities for AI agents:

  • XML parsing and reading
  • File writing and validation
  • Data transformation
  • Dictionary conversion
  • Structure manipulation

Key Components

XML Agent

Create specialized XML agents:

Agent(tools=[read_xml, write_xml, transform_xml, validate_xml, xml_to_dict, dict_to_xml])

XML Task

Define XML tasks:

Task(description="xml_operation")

Process Types

Sequential or parallel processing:

process="sequential"

XML Options

Customize XML parameters:

encoding="utf-8", pretty_print=True

Examples

Basic XML Processing Agent

from praisonaiagents import Agent, Task, PraisonAIAgents
from praisonaiagents.tools import read_xml, write_xml, transform_xml, validate_xml, xml_to_dict, dict_to_xml

# Create XML agent
xml_agent = Agent(
    name="XMLExpert",
    role="XML Processing Specialist",
    goal="Process XML files efficiently and accurately.",
    backstory="Expert in XML file handling and validation.",
    tools=[read_xml, write_xml, transform_xml, validate_xml, xml_to_dict, dict_to_xml],
    self_reflect=False
)

# Define XML task
xml_task = Task(
    description="Parse and validate XML configurations.",
    expected_output="Processed and validated XML data.",
    agent=xml_agent,
    name="config_processing"
)

# Run agent
agents = PraisonAIAgents(
    agents=[xml_agent],
    tasks=[xml_task],
    process="sequential"
)
agents.start()

Advanced XML Processing with Multiple Agents

# Create XML processing agent
processor_agent = Agent(
    name="Processor",
    role="XML Processor",
    goal="Process XML files systematically.",
    tools=[read_xml, write_xml, transform_xml],
    self_reflect=False
)

# Create validation agent
validator_agent = Agent(
    name="Validator",
    role="Data Validator",
    goal="Validate XML structure and content.",
    backstory="Expert in data validation and verification.",
    tools=[validate_xml, xml_to_dict, dict_to_xml],
    self_reflect=False
)

# Define tasks
processing_task = Task(
    description="Process and transform XML configurations.",
    agent=processor_agent,
    name="xml_processing"
)

validation_task = Task(
    description="Validate processed XML data.",
    agent=validator_agent,
    name="data_validation"
)

# Run agents
agents = PraisonAIAgents(
    agents=[processor_agent, validator_agent],
    tasks=[processing_task, validation_task],
    process="sequential"
)
agents.start()

Best Practices

Common Patterns

XML Processing Pipeline

# Processing agent
processor = Agent(
    name="Processor",
    role="XML Processor",
    tools=[read_xml, write_xml, transform_xml]
)

# Validation agent
validator = Agent(
    name="Validator",
    role="Data Validator",
    tools=[validate_xml, xml_to_dict, dict_to_xml]
)

# Define tasks
process_task = Task(
    description="Process XML files",
    agent=processor
)

validate_task = Task(
    description="Validate processed data",
    agent=validator
)

# Run workflow
agents = PraisonAIAgents(
    agents=[processor, validator],
    tasks=[process_task, validate_task]
)

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