from agno.agent import Agent
from agno.models.openai import OpenAIChat
from rich.pretty import pprint
agent = Agent(
model=OpenAIChat(id="gpt-4o"),
# Set add_history_to_messages=true to add the previous chat history to the messages sent to the Model.
add_history_to_messages=True,
# Number of historical responses to add to the messages.
num_history_responses=3,
description="You are a helpful assistant that always responds in a polite, upbeat and positive manner.",
)
# -*- Create a run
agent.print_response("Share a 2 sentence horror story", stream=True)
# -*- Print the messages in the memory
pprint(
[
m.model_dump(include={"role", "content"})
for m in agent.get_messages_for_session()
]
)
# -*- Ask a follow up question that continues the conversation
agent.print_response("What was my first message?", stream=True)
# -*- Print the messages in the memory
pprint(
[
m.model_dump(include={"role", "content"})
for m in agent.get_messages_for_session()
]
)
Create a virtual environment
Open the Terminal
and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
Install libraries
pip install -U agno
Run Example
python cookbook/agent_concepts/memory/00_builtin_memory.py
Was this page helpful?