Session Options

Demonstrates session naming, in-memory DB usage, and session caching options.

session_options.py
"""
Session Options
=============================

Demonstrates session naming, in-memory DB usage, and session caching options.
"""

from agno.agent import Agent
from agno.db.in_memory import InMemoryDb
from agno.db.postgres import PostgresDb
from agno.models.openai import OpenAIResponses
from agno.team import Team
from rich.pretty import pprint

# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
postgres_db = PostgresDb(db_url=db_url)
sessions_db = PostgresDb(db_url=db_url, session_table="sessions")
in_memory_db = InMemoryDb()

# ---------------------------------------------------------------------------
# Create Members
# ---------------------------------------------------------------------------
agent = Agent(model=OpenAIResponses(id="gpt-5-mini"))
research_agent = Agent(
    model=OpenAIResponses(id="gpt-5-mini"),
    name="Research Assistant",
)

# ---------------------------------------------------------------------------
# Create Team
# ---------------------------------------------------------------------------
renamable_team = Team(
    model=OpenAIResponses(id="gpt-5-mini"),
    members=[agent],
    db=postgres_db,
)

in_memory_team = Team(
    model=OpenAIResponses(id="gpt-5-mini"),
    members=[research_agent],
    db=in_memory_db,
    add_history_to_context=True,
    num_history_runs=3,
    session_id="test_session",
)

cached_team = Team(
    model=OpenAIResponses(id="gpt-5-mini"),
    members=[research_agent],
    db=sessions_db,
    session_id="team_session_cache",
    add_history_to_context=True,
    cache_session=True,
)

# ---------------------------------------------------------------------------
# Run Team
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    renamable_team.print_response("Tell me a new interesting fact about space")
    renamable_team.set_session_name(session_name="Interesting Space Facts")
    print(renamable_team.get_session_name())

    renamable_team.set_session_name(autogenerate=True)
    print(renamable_team.get_session_name())

    in_memory_team.print_response("Share a 2 sentence horror story", stream=True)

    print("\n" + "=" * 50)
    print("CHAT HISTORY AFTER FIRST RUN")
    print("=" * 50)
    try:
        chat_history = in_memory_team.get_chat_history(session_id="test_session")
        pprint([m.model_dump(include={"role", "content"}) for m in chat_history])
    except Exception as e:
        print(f"Error getting chat history: {e}")
        print("This might be expected on first run with in-memory database")

    in_memory_team.print_response("What was my first message?", stream=True)

    print("\n" + "=" * 50)
    print("CHAT HISTORY AFTER SECOND RUN")
    print("=" * 50)
    try:
        chat_history = in_memory_team.get_chat_history(session_id="test_session")
        pprint([m.model_dump(include={"role", "content"}) for m in chat_history])
    except Exception as e:
        print(f"Error getting chat history: {e}")
        print("This indicates an issue with in-memory database session handling")

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

Persistence and caching

InMemoryDb retains messages only while this process and database object live. cache_session=True caches a session on the Team instance; it is separate from the persistent Postgres store and does not coordinate changes made by other instances. The cached-team section performs one run, so it does not itself compare cache hits or latency.

Automatic session naming uses a model call. The initial explicit name is replaced by the generated name in the next step.

Run the Example

Set up your virtual environment

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

Install dependencies

uv pip install -U agno "psycopg[binary]" openai sqlalchemy

Export your OpenAI API key

export OPENAI_API_KEY="your_openai_api_key_here"

Run PgVector

docker run -d \
  -e POSTGRES_DB=ai \
  -e POSTGRES_USER=ai \
  -e POSTGRES_PASSWORD=ai \
  -e PGDATA=/var/lib/postgresql \
  -v pgvolume:/var/lib/postgresql \
  -p 5532:5432 \
  --name pgvector \
  agnohq/pgvector:18

Run the example

Save the code above as session_options.py, then run:

python session_options.py

Full source: cookbook/03_teams/07_session/session_options.py