YAML data processing tools for AI agents.
pyyaml
Install Dependencies
pip install praisonaiagents pyyaml
Import Components
from praisonaiagents import Agent, Task, PraisonAIAgents from praisonaiagents.tools import read_yaml, write_yaml, validate_yaml, merge_yaml, convert_yaml
Create Agent
yaml_agent = Agent( name="YAMLProcessor", role="YAML Processing Specialist", goal="Process YAML files efficiently and accurately.", backstory="Expert in YAML file manipulation and validation.", tools=[read_yaml, write_yaml, validate_yaml, merge_yaml, convert_yaml], self_reflect=False )
Define Task
yaml_task = Task( description="Parse and validate configuration files.", expected_output="Validated and processed YAML configurations.", agent=yaml_agent, name="yaml_processing" )
Run Agent
agents = PraisonAIAgents( agents=[yaml_agent], tasks=[yaml_task], process="sequential" ) agents.start()
Agent(tools=[read_yaml, write_yaml, validate_yaml, merge_yaml, convert_yaml])
Task(description="yaml_operation")
process="sequential"
safe_load=True, encoding="utf-8"
from praisonaiagents import Agent, Task, PraisonAIAgents from praisonaiagents.tools import read_yaml, write_yaml, validate_yaml, merge_yaml, convert_yaml # Create YAML agent yaml_agent = Agent( name="YAMLExpert", role="YAML Processing Specialist", goal="Process YAML files efficiently and accurately.", backstory="Expert in YAML file handling and validation.", tools=[read_yaml, write_yaml, validate_yaml, merge_yaml, convert_yaml], self_reflect=False ) # Define YAML task yaml_task = Task( description="Parse and validate configuration files.", expected_output="Processed and validated YAML data.", agent=yaml_agent, name="config_processing" ) # Run agent agents = PraisonAIAgents( agents=[yaml_agent], tasks=[yaml_task], process="sequential" ) agents.start()
# Create YAML processing agent processor_agent = Agent( name="Processor", role="YAML Processor", goal="Process YAML files systematically.", tools=[read_yaml, write_yaml, convert_yaml], self_reflect=False ) # Create validation agent validator_agent = Agent( name="Validator", role="Data Validator", goal="Validate YAML structure and content.", backstory="Expert in data validation and verification.", tools=[validate_yaml, merge_yaml], self_reflect=False ) # Define tasks processing_task = Task( description="Process and transform YAML configurations.", agent=processor_agent, name="yaml_processing" ) validation_task = Task( description="Validate processed YAML 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()
Agent Configuration
Agent( name="YAMLProcessor", role="YAML Processing Specialist", goal="Process YAML files accurately and safely", tools=[read_yaml, write_yaml, validate_yaml, merge_yaml, convert_yaml] )
Task Definition
Task( description="Parse and validate deployment configurations", expected_output="Validated configuration set" )
# Processing agent processor = Agent( name="Processor", role="YAML Processor", tools=[read_yaml, write_yaml, convert_yaml] ) # Validation agent validator = Agent( name="Validator", role="Data Validator", tools=[validate_yaml, merge_yaml] ) # Define tasks process_task = Task( description="Process YAML files", agent=processor ) validate_task = Task( description="Validate processed data", agent=validator ) # Run workflow agents = PraisonAIAgents( agents=[processor, validator], tasks=[process_task, validate_task] )