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

# Last N Session Messages

> Search a user's previous sessions with search_past_sessions, capped at the last two by num_past_sessions_to_search.

Last N Session Messages.

```python last_n_session_messages.py theme={null}
"""
Last N Session Messages
=============================

Last N Session Messages.
"""

import asyncio
import os

from agno.agent import Agent
from agno.db.sqlite import AsyncSqliteDb
from agno.models.openai import OpenAIResponses

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
# Remove the tmp db file before running the script
if os.path.exists("tmp/data.db"):
    os.remove("tmp/data.db")

# Create agents for different users to demonstrate user-specific session history
agent = Agent(
    model=OpenAIResponses(id="gpt-5-mini"),
    db=AsyncSqliteDb(db_file="tmp/data.db"),
    search_past_sessions=True,  # allow searching previous sessions
    num_past_sessions_to_search=2,  # only include the last 2 sessions in the search to avoid context length issues
)


async def main():
    # User 1 sessions
    print("=== User 1 Sessions ===")
    await agent.aprint_response(
        "What is the capital of South Africa?",
        session_id="user1_session_1",
        user_id="user_1",
    )
    await agent.aprint_response(
        "What is the capital of China?", session_id="user1_session_2", user_id="user_1"
    )
    await agent.aprint_response(
        "What is the capital of France?", session_id="user1_session_3", user_id="user_1"
    )

    # User 2 sessions
    print("\n=== User 2 Sessions ===")
    await agent.aprint_response(
        "What is the population of India?",
        session_id="user2_session_1",
        user_id="user_2",
    )
    await agent.aprint_response(
        "What is the currency of Japan?", session_id="user2_session_2", user_id="user_2"
    )

    # Now test session history search - each user should only see their own sessions
    print("\n=== Testing Session History Search ===")
    print(
        "User 1 asking about previous conversations (should only see capitals, not population/currency):"
    )
    await agent.aprint_response(
        "What did I discuss in my previous conversations?",
        session_id="user1_session_4",
        user_id="user_1",
    )

    print(
        "\nUser 2 asking about previous conversations (should only see population/currency, not capitals):"
    )
    await agent.aprint_response(
        "What did I discuss in my previous conversations?",
        session_id="user2_session_3",
        user_id="user_2",
    )


# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    asyncio.run(main())
```

## Run the Example

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

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno aiosqlite openai sqlalchemy
    ```
  </Step>

  <Step title="Export your OpenAI API key">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export OPENAI_API_KEY="your_openai_api_key_here"
      ```

      ```bash Windows theme={null}
      $Env:OPENAI_API_KEY="your_openai_api_key_here"
      ```
    </CodeGroup>
  </Step>

  <Step title="Run the example">
    Save the code above as `last_n_session_messages.py`, then run:

    ```bash theme={null}
    python last_n_session_messages.py
    ```
  </Step>
</Steps>

Full source: [cookbook/02\_agents/05\_state\_and\_session/last\_n\_session\_messages.py](https://github.com/agno-agi/agno/blob/main/cookbook/02_agents/05_state_and_session/last_n_session_messages.py)