User Analysis Memory

from upsonic import Agent, Task
from upsonic.storage.memory import Memory
from upsonic.storage.sqlite import SqliteStorage

storage = SqliteStorage(db_file="users.db")

memory = Memory(
    storage=storage,
    session_id="session_001",
    user_id="user_abc",
    user_analysis_memory=True,
    model="openai/gpt-4o"  # Required for trait extraction
)

agent = Agent("openai/gpt-4o", memory=memory)

result1 = agent.do(Task("I'm a data scientist with 5 years of ML experience"))
result2 = agent.do(Task("What do you know about me?"))
print(result2)  # "You're a data scientist with 5 years of ML experience"

from pydantic import BaseModel, Field
from typing import Optional, List
from upsonic import Agent, Task
from upsonic.storage.memory import Memory
from upsonic.storage.sqlite import SqliteStorage

class DeveloperProfile(BaseModel):
    name: Optional[str] = Field(None, description="Developer name")
    languages: Optional[List[str]] = Field(None, description="Programming languages")
    experience_years: Optional[int] = Field(None, description="Years of experience")
    preferred_editor: Optional[str] = Field(None, description="Preferred code editor")

storage = SqliteStorage(db_file="developers.db")

memory = Memory(
    storage=storage,
    session_id="session_001",
    user_id="dev_123",
    user_analysis_memory=True,
    user_profile_schema=DeveloperProfile,
    model="openai/gpt-4o"
)

agent = Agent("openai/gpt-4o", memory=memory)

result = agent.do(Task("I'm Alice, I use Python and Go, been coding for 8 years, love VS Code"))
print(result)

from upsonic import Agent, Task
from upsonic.storage.memory import Memory
from upsonic.storage.sqlite import SqliteStorage

storage = SqliteStorage(db_file="dynamic.db")

memory = Memory(
    storage=storage,
    session_id="session_001",
    user_id="user_456",
    user_analysis_memory=True,
    dynamic_user_profile=True,  # Agent creates custom fields
    model="openai/gpt-4o"
)

agent = Agent("openai/gpt-4o", memory=memory)

result = agent.do(Task("I prefer concise answers, work night shifts, and love hiking"))
print(result)  # Agent adapts to learned preferences

from upsonic import Agent, Task
from upsonic.storage.memory import Memory
from upsonic.storage.sqlite import SqliteStorage

storage = SqliteStorage(db_file="profiles.db")

# Session 1: Learn about user
memory1 = Memory(
    storage=storage,
    session_id="session_001",
    user_id="customer_789",
    user_analysis_memory=True,
    model="openai/gpt-4o"
)
agent1 = Agent("openai/gpt-4o", memory=memory1)
agent1.do(Task("I'm John, I run a small bakery in Seattle"))

# Session 2: New session, same user - profile is loaded
memory2 = Memory(
    storage=storage,
    session_id="session_002",  # Different session
    user_id="customer_789",     # Same user
    user_analysis_memory=True,
    model="openai/gpt-4o"
)
agent2 = Agent("openai/gpt-4o", memory=memory2)
result = agent2.do(Task("Remind me what you know about me"))
print(result)  # "You're John, you run a bakery in Seattle"

from upsonic import Agent, Task
from upsonic.storage.memory import Memory
from upsonic.storage.sqlite import SqliteStorage

storage = SqliteStorage(db_file="modes.db")

# Update mode: accumulates traits
memory = Memory(
    storage=storage,
    session_id="session_001",
    user_id="user_123",
    user_analysis_memory=True,
    user_memory_mode='update',
    model="openai/gpt-4o"
)

agent = Agent("openai/gpt-4o", memory=memory)
result = agent.do(Task("I also speak Spanish and French"))
print(result)