Agno SDK

from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.tools.workspace import Workspace

workbench = Agent(
    name="Workbench",
    model="openai:gpt-5.5",
    db=SqliteDb(db_file="workbench.db"),
    tools=[Workspace(".")],
    enable_agentic_memory=True,
    add_history_to_context=True,
    num_history_runs=3,
    markdown=True,
)

workbench.print_response("Inventory this folder.")

from agno.agent import Agent
from agno.team import Team
from agno.tools.yfinance import YFinanceTools

bull = Agent(
    name="Bull",
    model="openai:gpt-5.4",
    role="Make the case FOR investing.",
    tools=[YFinanceTools()],
)
bear = Agent(
    name="Bear",
    model="openai:gpt-5.4",
    role="Make the case AGAINST investing.",
    tools=[YFinanceTools()],
)

team = Team(
    name="Investment Committee",
    members=[bull, bear],
    instructions="Hear both sides, then synthesize a balanced recommendation.",
)

team.print_response("Should I invest in NVIDIA?")

from agno.agent import Agent
from agno.team import Team
from agno.tools.yfinance import YFinanceTools
from agno.workflow import Step, Workflow

researcher = Agent(
    model="openai:gpt-5.4",
    tools=[YFinanceTools()],
    instructions="Gather raw market data.",
)

bull = Agent(model="openai:gpt-5.4", role="Make the case FOR investing.")
bear = Agent(model="openai:gpt-5.4", role="Make the case AGAINST investing.")
committee = Team(
    name="Investment Committee",
    members=[bull, bear],
    instructions="Debate the position.",
)

writer = Agent(
    model="openai:gpt-5.4",
    instructions="Write a 200-word investment brief.",
)

workflow = Workflow(
    name="Stock Research",
    steps=[
        Step(name="Research", agent=researcher),
        Step(name="Debate", team=committee),
        Step(name="Report", agent=writer),
    ],
)

workflow.print_response("Analyze NVIDIA for investment.")