team_user_profile.py
"""
Team Learning: User Profile
===========================
Team learns and recalls user profile across sessions.
This demonstrates that Team.add_learnings_to_context works correctly:
- Session 1: Team extracts user profile from conversation
- Session 2: Team recalls profile in new session (different session_id)
"""
from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.models.openai import OpenAIResponses
from agno.team import Team
db = PostgresDb(db_url="postgresql+psycopg://ai:ai@localhost:5532/ai")
researcher = Agent(
name="Researcher",
model=OpenAIResponses(id="gpt-5.2"),
role="Research and provide detailed information.",
)
writer = Agent(
name="Writer",
model=OpenAIResponses(id="gpt-5.2"),
role="Write clear, concise content.",
)
team = Team(
name="Content Team",
model=OpenAIResponses(id="gpt-5.2"),
members=[researcher, writer],
db=db,
learning=True,
markdown=True,
)
if __name__ == "__main__":
user_id = "profile_test@example.com"
print("\n" + "=" * 60)
print("SESSION 1: Share profile information")
print("=" * 60 + "\n")
team.print_response(
"Hi, I'm Marcus. I'm a DevOps engineer at a fintech startup. "
"I prefer practical examples over theory, and I work primarily with Kubernetes.",
user_id=user_id,
session_id="profile_session_1",
stream=True,
)
lm = team.learning_machine
print("\n--- Extracted Profile ---")
lm.user_profile_store.print(user_id=user_id)
print("\n" + "=" * 60)
print("SESSION 2: Team should recall profile (NEW SESSION)")
print("=" * 60 + "\n")
team.print_response(
"What do you know about me? Keep it brief.",
user_id=user_id,
session_id="profile_session_2",
stream=True,
)
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 openai psycopg-binary 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 PgVector
docker run -d \
-e POSTGRES_DB=ai \
-e POSTGRES_USER=ai \
-e POSTGRES_PASSWORD=ai \
-e PGDATA=/var/lib/postgresql/data/pgdata \
-v pgvolume:/var/lib/postgresql/data \
-p 5532:5432 \
--name pgvector \
agnohq/pgvector:18
5
Run the example
Save the code above as
team_user_profile.py, then run:python team_user_profile.py