Files
crewAI/src/crewai/memory/memory.py
Greyson LaLonde d4aa676195 feat: add configurable search parameters for RAG, knowledge, and memory (#3531)
- Add limit and score_threshold to BaseRagConfig, propagate to clients  
- Update default search params in RAG storage, knowledge, and memory (limit=5, threshold=0.6)  
- Fix linting (ruff, mypy, PERF203) and refactor save logic  
- Update tests for new defaults and ChromaDB behavior
2025-09-18 16:58:03 -04:00

67 lines
1.7 KiB
Python

from typing import TYPE_CHECKING, Any, Optional
from pydantic import BaseModel
if TYPE_CHECKING:
from crewai.agent import Agent
from crewai.task import Task
class Memory(BaseModel):
"""
Base class for memory, now supporting agent tags and generic metadata.
"""
embedder_config: dict[str, Any] | None = None
crew: Any | None = None
storage: Any
_agent: Optional["Agent"] = None
_task: Optional["Task"] = None
def __init__(self, storage: Any, **data: Any):
super().__init__(storage=storage, **data)
@property
def task(self) -> Optional["Task"]:
"""Get the current task associated with this memory."""
return self._task
@task.setter
def task(self, task: Optional["Task"]) -> None:
"""Set the current task associated with this memory."""
self._task = task
@property
def agent(self) -> Optional["Agent"]:
"""Get the current agent associated with this memory."""
return self._agent
@agent.setter
def agent(self, agent: Optional["Agent"]) -> None:
"""Set the current agent associated with this memory."""
self._agent = agent
def save(
self,
value: Any,
metadata: dict[str, Any] | None = None,
) -> None:
metadata = metadata or {}
self.storage.save(value, metadata)
def search(
self,
query: str,
limit: int = 5,
score_threshold: float = 0.6,
) -> list[Any]:
return self.storage.search(
query=query, limit=limit, score_threshold=score_threshold
)
def set_crew(self, crew: Any) -> "Memory":
self.crew = crew
return self