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This example demonstrates how to provide input to a team as a list of Message objects, creating a conversation context with multiple user and assistant messages for more complex interactions.

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Code

cookbook/examples/teams/basic/input_as_messages_list.py
from agno.agent import Agent
from agno.models.message import Message
from agno.team import Team

# Create a research team
research_team = Team(
    name="Research Team",
    members=[
        Agent(
            name="Sarah",
            role="Data Researcher",
            instructions="Focus on gathering and analyzing data",
        ),
        Agent(
            name="Mike",
            role="Technical Writer",
            instructions="Create clear, concise summaries",
        ),
    ],
    stream=True,
    markdown=True,
)

research_team.print_response(
    [
        Message(
            role="user",
            content="I'm preparing a presentation for my company about renewable energy adoption.",
        ),
        Message(
            role="assistant",
            content="I'd be happy to help with your renewable energy presentation. What specific aspects would you like me to focus on?",
        ),
        Message(
            role="user",
            content="Could you research the latest solar panel efficiency improvements in 2024?",
        ),
        Message(
            role="user",
            content="Also, please summarize the key findings in bullet points for my slides.",
        ),
    ],
    markdown=True,
)

​
Usage

1

Create a virtual environment

Open the Terminal and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
2

Install required libraries

pip install agno
3

Set environment variables

export OPENAI_API_KEY=****
4

Run the agent

python cookbook/examples/teams/basic/input_as_messages_list.py
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