> ## Documentation Index
> Fetch the complete documentation index at: https://phidatainc-agui.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Persistent Session with History Context

This example shows how to use the session history to store conversation history and add it to the context with configurable history limits.

## Code

```python persistent_session_history.py theme={null}
"""
This example shows how to use the session history to store the conversation history.
add_history_to_context flag is used to add the history to the messages.
num_history_runs is used to set the number of history runs to add to the messages.
"""

from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.models.openai import OpenAIResponses
from agno.team import Team

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

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

agent = Agent(model=OpenAIResponses(id="gpt-5.2"))

team = Team(
    model=OpenAIResponses(id="gpt-5.2"),
    members=[agent],
    db=db,
    add_history_to_context=True,
    num_history_runs=2,
)

team.print_response("Tell me a new interesting fact about space")
```

## Usage

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install required libraries">
    ```bash theme={null}
    uv pip install agno psycopg2-binary
    ```
  </Step>

  <Step title="Set environment variables">
    ```bash theme={null}
    export OPENAI_API_KEY=****
    ```
  </Step>

  <Step title="Start PostgreSQL database">
    ```bash theme={null}
    cookbook/run_pgvector.sh
    ```
  </Step>

  <Step title="Run the agent">
    ```bash theme={null}
    python persistent_session_history.py
    ```
  </Step>
</Steps>