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bugfix/sup
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devin/1744
| Author | SHA1 | Date | |
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4748597667 |
@@ -1,3 +1,5 @@
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from typing import Optional
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from crewai.memory.entity.entity_memory_item import EntityMemoryItem
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from crewai.memory.memory import Memory
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from crewai.memory.storage.rag_storage import RAGStorage
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@@ -38,7 +40,7 @@ class EntityMemory(Memory):
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)
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super().__init__(storage)
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def save(self, item: EntityMemoryItem) -> None: # type: ignore # BUG?: Signature of "save" incompatible with supertype "Memory"
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def save(self, item: EntityMemoryItem, custom_key: Optional[str] = None) -> None: # type: ignore # BUG?: Signature of "save" incompatible with supertype "Memory"
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"""Saves an entity item into the SQLite storage."""
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if self.memory_provider == "mem0":
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data = f"""
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@@ -49,7 +51,7 @@ class EntityMemory(Memory):
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"""
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else:
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data = f"{item.name}({item.type}): {item.description}"
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super().save(data, item.metadata)
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super().save(data, item.metadata, custom_key=custom_key)
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def reset(self) -> None:
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try:
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@@ -1,4 +1,4 @@
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from typing import Any, Dict, List
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from typing import Any, Dict, List, Optional
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from crewai.memory.long_term.long_term_memory_item import LongTermMemoryItem
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from crewai.memory.memory import Memory
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@@ -19,9 +19,12 @@ class LongTermMemory(Memory):
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storage = LTMSQLiteStorage(db_path=path) if path else LTMSQLiteStorage()
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super().__init__(storage)
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def save(self, item: LongTermMemoryItem) -> None: # type: ignore # BUG?: Signature of "save" incompatible with supertype "Memory"
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def save(self, item: LongTermMemoryItem, custom_key: Optional[str] = None) -> None: # type: ignore # BUG?: Signature of "save" incompatible with supertype "Memory"
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metadata = item.metadata
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metadata.update({"agent": item.agent, "expected_output": item.expected_output})
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if custom_key:
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metadata.update({"custom_key": custom_key})
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self.storage.save( # type: ignore # BUG?: Unexpected keyword argument "task_description","score","datetime" for "save" of "Storage"
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task_description=item.task,
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score=metadata["quality"],
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@@ -29,8 +32,8 @@ class LongTermMemory(Memory):
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datetime=item.datetime,
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)
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def search(self, task: str, latest_n: int = 3) -> List[Dict[str, Any]]: # type: ignore # signature of "search" incompatible with supertype "Memory"
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return self.storage.load(task, latest_n) # type: ignore # BUG?: "Storage" has no attribute "load"
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def search(self, task: str, latest_n: int = 3, custom_key: Optional[str] = None) -> List[Dict[str, Any]]: # type: ignore # signature of "search" incompatible with supertype "Memory"
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return self.storage.load(task, latest_n, custom_key) # type: ignore # BUG?: "Storage" has no attribute "load"
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def reset(self) -> None:
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self.storage.reset()
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@@ -5,7 +5,10 @@ from crewai.memory.storage.rag_storage import RAGStorage
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class Memory:
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"""
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Base class for memory, now supporting agent tags and generic metadata.
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Base class for memory, now supporting agent tags, generic metadata, and custom keys.
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Custom keys allow scoping memories to specific entities (users, accounts, sessions),
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retrieving memories contextually, and preventing data leakage across logical boundaries.
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"""
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def __init__(self, storage: RAGStorage):
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@@ -16,10 +19,13 @@ class Memory:
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value: Any,
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metadata: Optional[Dict[str, Any]] = None,
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agent: Optional[str] = None,
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custom_key: Optional[str] = None,
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) -> None:
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metadata = metadata or {}
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if agent:
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metadata["agent"] = agent
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if custom_key:
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metadata["custom_key"] = custom_key
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self.storage.save(value, metadata)
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@@ -28,7 +34,12 @@ class Memory:
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query: str,
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limit: int = 3,
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score_threshold: float = 0.35,
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custom_key: Optional[str] = None,
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) -> List[Any]:
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filter_dict = None
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if custom_key:
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filter_dict = {"custom_key": {"$eq": custom_key}}
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return self.storage.search(
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query=query, limit=limit, score_threshold=score_threshold
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query=query, limit=limit, score_threshold=score_threshold, filter=filter_dict
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)
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@@ -46,22 +46,31 @@ class ShortTermMemory(Memory):
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value: Any,
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metadata: Optional[Dict[str, Any]] = None,
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agent: Optional[str] = None,
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custom_key: Optional[str] = None,
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) -> None:
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item = ShortTermMemoryItem(data=value, metadata=metadata, agent=agent)
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if self.memory_provider == "mem0":
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item.data = f"Remember the following insights from Agent run: {item.data}"
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super().save(value=item.data, metadata=item.metadata, agent=item.agent)
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super().save(value=item.data, metadata=item.metadata, agent=item.agent, custom_key=custom_key)
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def search(
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self,
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query: str,
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limit: int = 3,
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score_threshold: float = 0.35,
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custom_key: Optional[str] = None,
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):
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filter_dict = None
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if custom_key:
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filter_dict = {"custom_key": {"$eq": custom_key}}
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return self.storage.search(
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query=query, limit=limit, score_threshold=score_threshold
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) # type: ignore # BUG? The reference is to the parent class, but the parent class does not have this parameters
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query=query,
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limit=limit,
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score_threshold=score_threshold,
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filter=filter_dict
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)
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def reset(self) -> None:
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try:
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@@ -70,22 +70,31 @@ class LTMSQLiteStorage:
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)
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def load(
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self, task_description: str, latest_n: int
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self, task_description: str, latest_n: int, custom_key: Optional[str] = None
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) -> Optional[List[Dict[str, Any]]]:
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"""Queries the LTM table by task description with error handling."""
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try:
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with sqlite3.connect(self.db_path) as conn:
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cursor = conn.cursor()
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cursor.execute(
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f"""
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query = """
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SELECT metadata, datetime, score
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FROM long_term_memories
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WHERE task_description = ?
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"""
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params = [task_description]
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if custom_key:
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query += " AND json_extract(metadata, '$.custom_key') = ?"
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params.append(custom_key)
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query += f"""
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ORDER BY datetime DESC, score ASC
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LIMIT {latest_n}
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""", # nosec
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(task_description,),
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)
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"""
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cursor.execute(query, params)
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rows = cursor.fetchall()
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if rows:
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return [
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@@ -120,7 +120,11 @@ class RAGStorage(BaseRAGStorage):
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try:
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with suppress_logging():
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response = self.collection.query(query_texts=query, n_results=limit)
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response = self.collection.query(
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query_texts=query,
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n_results=limit,
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where=filter
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)
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results = []
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for i in range(len(response["ids"][0])):
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@@ -26,20 +26,27 @@ class UserMemory(Memory):
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value,
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metadata: Optional[Dict[str, Any]] = None,
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agent: Optional[str] = None,
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custom_key: Optional[str] = None,
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) -> None:
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# TODO: Change this function since we want to take care of the case where we save memories for the usr
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data = f"Remember the details about the user: {value}"
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super().save(data, metadata)
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super().save(data, metadata, custom_key=custom_key)
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def search(
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self,
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query: str,
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limit: int = 3,
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score_threshold: float = 0.35,
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custom_key: Optional[str] = None,
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):
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filter_dict = None
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if custom_key:
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filter_dict = {"custom_key": {"$eq": custom_key}}
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results = self.storage.search(
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query=query,
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limit=limit,
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score_threshold=score_threshold,
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filter=filter_dict,
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)
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return results
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57
tests/memory/custom_key_memory_test.py
Normal file
57
tests/memory/custom_key_memory_test.py
Normal file
@@ -0,0 +1,57 @@
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import pytest
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from unittest.mock import patch, MagicMock
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from crewai.memory.short_term.short_term_memory import ShortTermMemory
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from crewai.memory.short_term.short_term_memory_item import ShortTermMemoryItem
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from crewai.agent import Agent
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from crewai.crew import Crew
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from crewai.task import Task
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@pytest.fixture
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def short_term_memory():
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"""Fixture to create a ShortTermMemory instance"""
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agent = Agent(
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role="Researcher",
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goal="Search relevant data and provide results",
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backstory="You are a researcher at a leading tech think tank.",
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tools=[],
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verbose=True,
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)
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task = Task(
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description="Perform a search on specific topics.",
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expected_output="A list of relevant URLs based on the search query.",
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agent=agent,
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)
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return ShortTermMemory(crew=Crew(agents=[agent], tasks=[task]))
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def test_save_with_custom_key(short_term_memory):
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"""Test that save method correctly passes custom_key to storage"""
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with patch.object(short_term_memory.storage, 'save') as mock_save:
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short_term_memory.save(
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value="Test data",
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metadata={"task": "test_task"},
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agent="test_agent",
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custom_key="user123",
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)
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called_args = mock_save.call_args[0]
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called_kwargs = mock_save.call_args[1]
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assert "custom_key" in called_args[1]
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assert called_args[1]["custom_key"] == "user123"
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def test_search_with_custom_key(short_term_memory):
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"""Test that search method correctly passes custom_key to storage"""
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expected_results = [{"context": "Test data", "metadata": {"custom_key": "user123"}, "score": 0.95}]
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with patch.object(short_term_memory.storage, 'search', return_value=expected_results) as mock_search:
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results = short_term_memory.search("test query", custom_key="user123")
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mock_search.assert_called_once()
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filter_arg = mock_search.call_args[1].get('filter')
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assert filter_arg == {"custom_key": {"$eq": "user123"}}
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assert results == expected_results
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