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What is User Analysis Memory?

User Analysis Memory learns about users across all conversations, building comprehensive profiles that enable personalization and adaptive responses.

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Usage

from upsonic.storage import Memory, InMemoryStorage
from pydantic import BaseModel, Field
from typing import Optional

# Default user analysis
memory = Memory(
    storage=InMemoryStorage(),
    session_id="session_003",
    user_id="user_001",
    user_analysis_memory=True,
    model="openai/gpt-4o"
)

# Custom user profile schema
class UserProfile(BaseModel):
    name: Optional[str] = Field(None, description="User's name")
    expertise: Optional[str] = Field(None, description="Technical expertise level")
    interests: Optional[list] = Field(None, description="Areas of interest")

memory = Memory(
    storage=InMemoryStorage(),
    session_id="session_003",
    user_id="user_001",
    user_analysis_memory=True,
    user_profile_schema=UserProfile,
    model="openai/gpt-4o"
)

# Dynamic user learning (agent creates custom fields)
memory = Memory(
    storage=InMemoryStorage(),
    session_id="session_003",
    user_id="user_001",
    user_analysis_memory=True,
    dynamic_user_profile=True,  # Agent creates custom profile fields
    model="openai/gpt-4o"
)

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Params

  • user_analysis_memory: bool - Enable/disable user learning
  • user_id: str - Required identifier for the user
  • model: str - Required model for analyzing user traits
  • user_profile_schema: BaseModel - Optional custom profile schema
  • dynamic_user_profile: bool - Let agent create custom fields
  • user_memory_mode: str - ‘update’ (default) or ‘replace’ mode