Source code for langchain_experimental.generative_agents.generative_agent
import re
from datetime import datetime
from typing import Any, Dict, List, Optional, Tuple
from langchain.chains import LLMChain
from langchain.prompts import PromptTemplate
from langchain.schema.language_model import BaseLanguageModel
from langchain_experimental.generative_agents.memory import GenerativeAgentMemory
from langchain_experimental.pydantic_v1 import BaseModel, Field
[docs]class GenerativeAgent(BaseModel):
    """An Agent as a character with memory and innate characteristics."""
    name: str
    """The character's name."""
    age: Optional[int] = None
    """The optional age of the character."""
    traits: str = "N/A"
    """Permanent traits to ascribe to the character."""
    status: str
    """The traits of the character you wish not to change."""
    memory: GenerativeAgentMemory
    """The memory object that combines relevance, recency, and 'importance'."""
    llm: BaseLanguageModel
    """The underlying language model."""
    verbose: bool = False
    summary: str = ""  #: :meta private:
    """Stateful self-summary generated via reflection on the character's memory."""
    summary_refresh_seconds: int = 3600  #: :meta private:
    """How frequently to re-generate the summary."""
    last_refreshed: datetime = Field(default_factory=datetime.now)  # : :meta private:
    """The last time the character's summary was regenerated."""
    daily_summaries: List[str] = Field(default_factory=list)  # : :meta private:
    """Summary of the events in the plan that the agent took."""
    class Config:
        """Configuration for this pydantic object."""
        arbitrary_types_allowed = True