Subagent Generation

task(description: str, subagent_type: str = "general-purpose") -> str

import asyncio
from upsonic.agent.deepagent import DeepAgent
from upsonic import Task

async def main():
    agent = DeepAgent(model="anthropic/claude-sonnet-4-5")
    
    task = Task(description="""
    Research Python web frameworks and return a summary.
    
    Then create /reports/frameworks.txt with the summary.
    """)
    
    result = await agent.do_async(task)
    print(result)

asyncio.run(main())

import asyncio
from upsonic.agent.deepagent import DeepAgent
from upsonic import Agent, Task

async def main():
    # Create specialized subagents
    researcher = Agent(
        model="openai/gpt-4o-mini",
        name="researcher",
        role="Research Specialist",
        system_prompt="You are a research expert focused on gathering information"
    )
    
    writer = Agent(
        model="openai/gpt-4o-mini",
        name="writer",
        role="Technical Writer",
        system_prompt="You are a technical writing expert"
    )
    
    # Create DeepAgent with subagents
    agent = DeepAgent(
        model="anthropic/claude-sonnet-4-5",
        subagents=[researcher, writer]
    )
    
    task = Task(description="""
    Research AI trends and write a technical report based on research
    
    Save the final report to /reports/ai_trends.txt
    """)
    
    result = await agent.do_async(task)
    print(result)

asyncio.run(main())

import asyncio
from upsonic.agent.deepagent import DeepAgent
from upsonic import Agent, Task

async def main():
    # Create multiple specialized subagents
    python_expert = Agent(
        model="openai/gpt-4o-mini",
        name="python-expert",
        system_prompt="Python programming expert"
    )
    
    js_expert = Agent(
        model="openai/gpt-4o-mini",
        name="js-expert",
        system_prompt="JavaScript programming expert"
    )
    
    agent = DeepAgent(
        model="anthropic/claude-sonnet-4-5",
        subagents=[python_expert, js_expert]
    )
    
    task = Task(description="""
    Research Python web frameworks and JavaScript web frameworks in parallel.
    
    Then synthesize findings into /reports/comparison.txt
    """)
    
    result = await agent.do_async(task)
    print(result)

asyncio.run(main())

import asyncio
from upsonic.agent.deepagent import DeepAgent
from upsonic import Agent, Task

async def main():
    agent = DeepAgent(model="anthropic/claude-sonnet-4-5")
    
    # Add subagent after creation
    analyst = Agent(
        model="openai/gpt-4o-mini",
        name="analyst",
        role="AI Analyst",
        system_prompt="Data analysis expert"
    )
    agent.add_subagent(analyst)
    
    task = Task(description="""
    Analyze AI trends.
    Save results to /analysis/trends.txt
    """)
    
    result = await agent.do_async(task)
    print(result)

asyncio.run(main())