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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.
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
Create a virtual environment
Open the Terminal and create a python virtual environment.python3 -m venv .venv
source .venv/bin/activate
Install required libraries
Set environment variables
export OPENAI_API_KEY=****
Run the agent
python cookbook/examples/teams/basic/input_as_messages_list.py