> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Custom Session Summary

> Demonstrates configuring a custom session summary manager and reusing summaries in context.

```python custom_session_summary.py theme={null}
"""
Custom Session Summary
=====================

Demonstrates configuring a custom session summary manager and reusing summaries in
context.
"""

from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIResponses
from agno.session import SessionSummaryManager
from agno.team import Team

# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
db = SqliteDb(
    db_file="tmp/team_session_summary.db",
    session_table="team_summary_sessions",
)
summary_manager = SessionSummaryManager(model=OpenAIResponses(id="gpt-5-mini"))


# ---------------------------------------------------------------------------
# Create Members
# ---------------------------------------------------------------------------
planner = Agent(
    name="Sprint Planner",
    model=OpenAIResponses(id="gpt-5-mini"),
    instructions=[
        "Build concise, sequenced plan summaries.",
        "Keep recommendations practical.",
    ],
)


# ---------------------------------------------------------------------------
# Create Team
# ---------------------------------------------------------------------------
sprint_team = Team(
    name="Sprint Team",
    model=OpenAIResponses(id="gpt-5-mini"),
    members=[planner],
    db=db,
    session_summary_manager=summary_manager,
    add_session_summary_to_context=True,
)


# ---------------------------------------------------------------------------
# Run Team
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    session_id = "sprint-planning-session"

    sprint_team.print_response(
        "Plan a two-week sprint for a small team shipping a documentation portal.",
        stream=True,
        session_id=session_id,
    )

    sprint_team.print_response(
        "Now add testing and rollout milestones to that plan.",
        stream=True,
        session_id=session_id,
    )

    summary = sprint_team.get_session_summary(session_id=session_id)
    if summary is not None:
        print(f"\nSession summary: {summary.summary}")
        if summary.topics:
            print(f"Topics: {', '.join(summary.topics)}")

    sprint_team.print_response(
        "Using what we discussed, suggest the most important next action.",
        stream=True,
        session_id=session_id,
    )
```

## Run the Example

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

**1. Install dependencies**

```bash theme={null}
uv pip install -U agno openai sqlalchemy
```

**2. Export your OpenAI API key**

```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"
```

**3. Run the example**

Save the code above as `custom_session_summary.py`, then run:

```bash theme={null}
python custom_session_summary.py
```

Full source: [cookbook/03\_teams/07\_session/custom\_session\_summary.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/03_teams/07_session/custom_session_summary.py)


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