"""
User Profile: Agentic Mode
==========================
User Profile captures structured profile fields about users:
- Name and preferred name
- Custom profile fields (when using extended schemas)
AGENTIC mode gives the agent explicit tools to update profile fields.
The agent decides when to store information - you can see the tool calls.
Compare with: 1a_user_profile_always.py for automatic extraction.
See also: 2b_user_memory_agentic.py for unstructured observations.
"""
from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.learn import LearningMachine, LearningMode, UserProfileConfig
from agno.models.openai import OpenAIResponses
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
db = PostgresDb(db_url="postgresql+psycopg://ai:ai@localhost:5532/ai")
# AGENTIC mode: Agent gets profile tools and decides when to use them.
# You'll see tool calls like "update_profile" in responses.
agent = Agent(
model=OpenAIResponses(id="gpt-5.2"),
db=db,
learning=LearningMachine(
user_profile=UserProfileConfig(
mode=LearningMode.AGENTIC,
),
),
markdown=True,
)
# ---------------------------------------------------------------------------
# Run Demo
# ---------------------------------------------------------------------------
if __name__ == "__main__":
user_id = "bob@example.com"
# Session 1: Agent explicitly updates profile
print("\n" + "=" * 60)
print("SESSION 1: Share information (watch for tool calls)")
print("=" * 60 + "\n")
agent.print_response(
"Hi! I'm Robert Johnson, but everyone calls me Bob.",
user_id=user_id,
session_id="session_1",
stream=True,
)
agent.learning_machine.user_profile_store.print(user_id=user_id)
# Session 2: Agent uses stored profile
print("\n" + "=" * 60)
print("SESSION 2: Profile recalled in new session")
print("=" * 60 + "\n")
agent.print_response(
"What should you call me?",
user_id=user_id,
session_id="session_2",
stream=True,
)
agent.learning_machine.user_profile_store.print(user_id=user_id)
Run the Example
# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/08_learning/01_basics
# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate
python 1b_user_profile_agentic.py