Agno

pip install agno seltz

from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.seltz import SeltzTools

agent = Agent(
    model=OpenAIChat(id="gpt-4o"),
    tools=[SeltzTools()],
    markdown=True,
)

agent.print_response("Search for recent AI safety research")

export SELTZ_API_KEY="your-api-key"

tools = SeltzTools(
    api_key="your-api-key",
    max_results=5,
    show_results=True,
)

from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.seltz import SeltzTools

agent = Agent(
    model=OpenAIChat(id="gpt-4o"),
    tools=[SeltzTools(show_results=True)],
    markdown=True,
)

agent.print_response("What are the latest developments in quantum computing?")

from pathlib import Path
from textwrap import dedent

from agno.agent import Agent
from agno.models.groq import Groq
from agno.tools.seltz import SeltzTools

tmp = Path("./reports")
tmp.mkdir(exist_ok=True)

agent = Agent(
    model=Groq(id="llama-3.3-70b-versatile"),
    tools=[SeltzTools(max_results=10, show_results=True)],
    description="You are an advanced AI researcher writing a report on a topic.",
    instructions=[
        "For the provided topic, run 3 different searches.",
        "Read the results carefully and prepare a report.",
        "Focus on facts and make sure to provide references.",
    ],
    expected_output=dedent("""\
        An engaging, informative, and well-structured report in markdown format:

        ## Engaging Report Title
        ### Overview
        ### Section 1
        ... more sections as necessary...
        ### Takeaways
        ### References
        """
    ),
    markdown=True,
    add_datetime_to_context=True,
    save_response_to_file=str(tmp.joinpath("{message}.md")),
)

agent.print_response("Recent advances in AI safety", stream=True)