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This example demonstrates how to manage and retrieve chat history in agent conversations, enabling access to previous conversation messages and context.

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Code

chat_history.py
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIResponses

db = SqliteDb(db_file="tmp/agent.db")

agent = Agent(
    model=OpenAIResponses(id="gpt-5.2"),
    db=db,
    session_id="chat_history",
    instructions="You are a helpful assistant that can answer questions about space and oceans.",
    add_history_to_context=True,
)

agent.print_response("Tell me a new interesting fact about space", stream=True)
print(agent.get_chat_history())

agent.print_response("Tell me a new interesting fact about oceans", stream=True)
print(agent.get_chat_history())

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Usage

1

Create a Python file

Create chat_history.py with the code above.
2

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate
3

Install dependencies

uv pip install -U agno openai
4

Export your OpenAI API key

export OPENAI_API_KEY="your_openai_api_key_here"
5

Run Agent

python chat_history.py