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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

05_chat_history.py
from agno.agent.agent import Agent
from agno.db.postgres import PostgresDb
from agno.models.openai import OpenAIChat

db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"

db = PostgresDb(db_url=db_url, session_table="sessions")

agent = Agent(
    model=OpenAIChat(id="gpt-5-mini"),
    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")
print(agent.get_chat_history())

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

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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 libraries

pip install -U agno openai psycopg
3

Setup PostgreSQL

# Make sure PostgreSQL is running
# Update connection string in the code as needed
4

Export your OpenAI API key

  export OPENAI_API_KEY="your_openai_api_key_here"
5

Create a Python file

Create a Python file and add the above code.
touch 05_chat_history.py
6

Run Agent

python 05_chat_history.py
7

Find All Cookbooks

Explore all the available cookbooks in the Agno repository. Click the link below to view the code on GitHub:Agno Cookbooks on GitHub
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