search_past_sessions.py
"""
Search Past Sessions (Team)
===========================
Demonstrates the two-step list-then-read pattern for accessing previous
team sessions with user-scoped history access.
The team gets two tools:
- search_past_sessions() -- lightweight per-run previews of recent sessions
- read_past_session(session_id) -- full conversation for a specific session
Enable with `search_past_sessions=True`. Optionally set
`num_past_sessions_to_search` to control how many past sessions are searched (default 20)
and `num_past_session_runs_in_search` to control how many runs per session appear in
the preview (default 3).
"""
import asyncio
import os
from agno.db.sqlite import AsyncSqliteDb
from agno.models.openai import OpenAIResponses
from agno.team import Team
# ---------------------------------------------------------------------------
# Setup -- fresh DB each run
# ---------------------------------------------------------------------------
DB_FILE = "tmp/team_session_history.db"
if os.path.exists(DB_FILE):
os.remove(DB_FILE)
db = AsyncSqliteDb(db_file=DB_FILE)
# ---------------------------------------------------------------------------
# Create Team
# ---------------------------------------------------------------------------
team = Team(
model=OpenAIResponses(id="gpt-5.6-luna"),
members=[],
db=db,
search_past_sessions=True,
num_past_sessions_to_search=10,
)
# ---------------------------------------------------------------------------
# Run
# ---------------------------------------------------------------------------
async def main() -> None:
# --- User 1 sessions ---
print("=== User 1 Sessions ===")
await team.aprint_response(
"What is the capital of South Africa?",
session_id="user1_session_1",
user_id="user_1",
)
await team.aprint_response(
"What is the capital of China?",
session_id="user1_session_2",
user_id="user_1",
)
await team.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 team.aprint_response(
"What is the population of India?",
session_id="user2_session_1",
user_id="user_2",
)
await team.aprint_response(
"What is the currency of Japan?",
session_id="user2_session_2",
user_id="user_2",
)
# --- Search: User 1 should only see their own sessions ---
print("\n=== User 1: Browse all past sessions ===")
await team.aprint_response(
"What did I discuss in my previous conversations?",
session_id="user1_session_4",
user_id="user_1",
)
# --- Search: User 2 should only see their own sessions ---
print("\n=== User 2: Browse all past sessions ===")
await team.aprint_response(
"What did I discuss in my previous conversations?",
session_id="user2_session_3",
user_id="user_2",
)
# --- Read a specific session ---
print("\n=== User 1: Read session about China ===")
await team.aprint_response(
"Read the full conversation from the session where we discussed China",
session_id="user1_session_5",
user_id="user_1",
)
if __name__ == "__main__":
asyncio.run(main())
Run the Example
1
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
2
Install dependencies
uv pip install -U agno aiosqlite openai sqlalchemy
3
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
4
Run the example
Save the code above as
search_past_sessions.py, then run:python search_past_sessions.py