User Profile

1from kern.agent import Agent
2from kern.db.postgres import PostgresDb
3from kern.learn import LearningMachine
4from kern.models.openai import OpenAIResponses
5
6agent = Agent(
7    model=OpenAIResponses(id="gpt-5.2"),
8    db=PostgresDb(db_url="postgresql+psycopg://ai:ai@localhost:5532/ai"),
9    learning=LearningMachine(user_profile=True),
10)
11
12# Session 1: Share information
13agent.print_response(
14    "Hi! I'm Alice Chen, but please call me Ali.",
15    user_id="alice@example.com",
16    session_id="session_1",
17)
18
19# Session 2: Profile is recalled automatically
20agent.print_response(
21    "What's my name?",
22    user_id="alice@example.com",
23    session_id="session_2",
24)

1from kern.learn import LearningMachine, LearningMode, UserProfileConfig
2
3agent = Agent(
4    model=OpenAIResponses(id="gpt-5.2"),
5    db=db,
6    learning=LearningMachine(
7        user_profile=UserProfileConfig(mode=LearningMode.ALWAYS),
8    ),
9)

1from kern.learn import LearningMachine, LearningMode, UserProfileConfig
2
3agent = Agent(
4    model=OpenAIResponses(id="gpt-5.2"),
5    db=db,
6    learning=LearningMachine(
7        user_profile=UserProfileConfig(mode=LearningMode.AGENTIC),
8    ),
9)
10
11agent.print_response(
12    "Please remember that my name is Bob Smith.",
13    user_id="bob@example.com",
14)

1from dataclasses import dataclass, field
2from typing import Optional
3from kern.learn.schemas import UserProfile
4
5@dataclass
6class CustomerProfile(UserProfile):
7    company: Optional[str] = field(
8        default=None,
9        metadata={"description": "Company or organization"}
10    )
11    plan_tier: Optional[str] = field(
12        default=None,
13        metadata={"description": "Subscription tier: free | pro | enterprise"}
14    )
15    role: Optional[str] = field(
16        default=None,
17        metadata={"description": "Job title or role"}
18    )
19    timezone: Optional[str] = field(
20        default=None,
21        metadata={"description": "User's timezone"}
22    )
23
24agent = Agent(
25    model=OpenAIResponses(id="gpt-5.2"),
26    db=db,
27    learning=LearningMachine(
28        user_profile=UserProfileConfig(schema=CustomerProfile),
29    ),
30)

1lm = agent.get_learning_machine()
2
3# Get profile
4profile = lm.user_profile_store.get(user_id="alice@example.com")
5print(profile.name)
6print(profile.preferred_name)
7
8# Debug output
9lm.user_profile_store.print(user_id="alice@example.com")

1<user_profile>
2Name: Alice Chen
3Preferred Name: Ali
4Company: Acme Corp
5Role: Data Scientist
6</user_profile>