AutoAgents

from praisonaiagents import Agent

agent = Agent(name="auto-agent", instructions="Automatically plan and execute complex tasks.")
agent.start("Research, write, and publish a blog post about AI agents.")

# Create AutoAgents with advanced configuration
agents = AutoAgents(
    instructions="Research and summarize recent AI developments",
    tools=[SerperDevTool, WikipediaTools],
    max_agents=3,  # Maximum number of agents to create
      # Enable detailed logging
    process="hierarchical",  # Use hierarchical process
    memory=True,  # Enable memory for agents
    execution=ExecutionConfig(
        max_rpm=60,  # Maximum requests per minute
        max_execution_time=300,  # Maximum execution time
        code_execution=True,  # Enable code execution
        code_mode="safe",  # Use safe mode
    ),
    reflection=True,  # Enable agent self-reflection
      # Enable markdown formatting
)

from praisonai.auto import WorkflowAutoGenerator

generator = WorkflowAutoGenerator(
    topic="Research the market and produce a report",
    framework="crewai",           # honoured — YAML says `framework: crewai`
)
path = generator.generate(pattern="sequential")
print(path)

from praisonai.auto import AutoGenerator, WorkflowAutoGenerator

# Generate agents.yaml
generator = AutoGenerator(
    topic="Research AI trends and write a report",
    agent_file="agents.yaml",
    framework="praisonai",  # or "crewai", "autogen"
    pattern="sequential",   # workflow pattern
    single_agent=False      # True for simple tasks
)
path = generator.generate(merge=False)

# Generate workflow.yaml
wf_generator = WorkflowAutoGenerator(
    topic="Build a customer support system",
    workflow_file="workflow.yaml",
    framework="praisonai"
)

# Get pattern recommendation (keyword-based, fast)
pattern = wf_generator.recommend_pattern()

# Get LLM-based recommendation with reasoning
recommendation = wf_generator.recommend_pattern_llm()
print(f"Pattern: {recommendation.pattern}")
print(f"Reasoning: {recommendation.reasoning}")
print(f"Confidence: {recommendation.confidence}")

# Generate with specific pattern
path = wf_generator.generate(pattern="routing", merge=False)

import asyncio
from praisonai.auto import AutoGenerator, WorkflowAutoGenerator, JobWorkflowAutoGenerator

async def main():
    # Agents
    async with AutoGenerator(
        topic="Research AI trends and write a report",
        framework="praisonai",
    ) as gen:
        path = await gen.agenerate(merge=False)
        print(path)

    # Workflows
    async with WorkflowAutoGenerator(
        topic="Build a customer support system",
    ) as wf:
        path = await wf.agenerate(pattern="routing")

    # Job workflows
    async with JobWorkflowAutoGenerator(
        topic="Nightly data refresh",
    ) as job:
        path = await job.agenerate(include_judge=True, include_approve=False)

asyncio.run(main())