pip install praisonai

from praisonai import PraisonAI

praison = PraisonAI(agent_file="agents.yaml")
result = praison.run()

PraisonAI(
    agent_file: str = "agents.yaml",
    framework: str = "praisonai",
    auto: bool = False,
    agent_yaml: str = None,
    tools: list = None
)

result = praison.run()
print(result)

praison = PraisonAI()
praison.main()  # Parses CLI arguments and runs

# Run with default agents.yaml
praisonai

# Specify agent file
praisonai --agent-file my-agents.yaml

# Auto mode - generate agents from prompt
praisonai --auto "Create a research team"

# Use specific framework
praisonai --framework crewai

# Interactive chat mode
praisonai --chat

# Code mode
praisonai --code "Fix the bug in main.py"

framework: praisonaiagents
topic: Research AI trends
roles:
  researcher:
    role: Research Analyst
    goal: Research and analyze AI trends
    backstory: Expert researcher with deep knowledge
    tasks:
      research_task:
        description: Research the latest AI developments
        expected_output: Comprehensive research report

from praisonai import PraisonAI

def my_tool(query: str) -> str:
    return f"Result for {query}"

praison = PraisonAI(
    agent_file="agents.yaml",
    tools=[my_tool]
)
result = praison.run()

yaml_content = """
framework: praisonaiagents
topic: Test
roles:
  assistant:
    role: Helper
    goal: Help users
    tasks:
      help_task:
        description: Provide assistance
        expected_output: Helpful response
"""

praison = PraisonAI(agent_yaml=yaml_content)
result = praison.run()