Fix: Update import sorting and implement abstract methods

Co-Authored-By: Joe Moura <joao@crewai.com>
Fix: Update tests to work with lazy ChromaDB imports
2025-12-16 12:28:30 +00:00 · 2025-04-24 10:31:59 +00:00 · 2025-04-24 10:22:18 +00:00 · 2025-04-24 10:18:03 +00:00
8 changed files with 574 additions and 1665 deletions
--- a/src/crewai/knowledge/storage/knowledge_storage.py
+++ b/src/crewai/knowledge/storage/knowledge_storage.py
@@ -4,13 +4,15 @@ import io
 import logging
 import os
 import shutil
-from typing import Any, Dict, List, Optional, Union
+from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union, cast

-import chromadb
-import chromadb.errors
-from chromadb.api import ClientAPI
-from chromadb.api.types import OneOrMany
-from chromadb.config import Settings
+# Type checking imports that don't cause runtime imports
+if TYPE_CHECKING:
+    import chromadb
+    import chromadb.errors
+    from chromadb.api import ClientAPI
+    from chromadb.api.types import OneOrMany
+    from chromadb.config import Settings

 from crewai.knowledge.storage.base_knowledge_storage import BaseKnowledgeStorage
 from crewai.utilities import EmbeddingConfigurator
@@ -43,9 +45,9 @@ class KnowledgeStorage(BaseKnowledgeStorage):
    search efficiency.
    """

-    collection: Optional[chromadb.Collection] = None
+    collection: Optional[Any] = None
    collection_name: Optional[str] = "knowledge"
-    app: Optional[ClientAPI] = None
+    app: Optional[Any] = None

    def __init__(
        self,
@@ -84,6 +86,10 @@ class KnowledgeStorage(BaseKnowledgeStorage):
                raise Exception("Collection not initialized")

    def initialize_knowledge_storage(self):
+        # Import chromadb here to avoid importing at module level
+        import chromadb
+        from chromadb.config import Settings
+        
        base_path = os.path.join(db_storage_path(), "knowledge")
        chroma_client = chromadb.PersistentClient(
            path=base_path,
@@ -109,6 +115,10 @@ class KnowledgeStorage(BaseKnowledgeStorage):
            raise Exception("Failed to create or get collection")

    def reset(self):
+        # Import chromadb here to avoid importing at module level
+        import chromadb
+        from chromadb.config import Settings
+        
        base_path = os.path.join(db_storage_path(), KNOWLEDGE_DIRECTORY)
        if not self.app:
            self.app = chromadb.PersistentClient(
@@ -126,6 +136,11 @@ class KnowledgeStorage(BaseKnowledgeStorage):
        documents: List[str],
        metadata: Optional[Union[Dict[str, Any], List[Dict[str, Any]]]] = None,
    ):
+        # Import chromadb here to avoid importing at module level
+        import chromadb
+        import chromadb.errors
+        from chromadb.api.types import OneOrMany
+        
        if not self.collection:
            raise Exception("Collection not initialized")

@@ -156,7 +171,7 @@ class KnowledgeStorage(BaseKnowledgeStorage):
                filtered_ids.append(doc_id)

            # If we have no metadata at all, set it to None
-            final_metadata: Optional[OneOrMany[chromadb.Metadata]] = (
+            final_metadata: Optional[OneOrMany['chromadb.Metadata']] = (
                None if all(m is None for m in filtered_metadata) else filtered_metadata
            )

--- a/src/crewai/memory/storage/rag_storage.py
+++ b/src/crewai/memory/storage/rag_storage.py
@@ -4,13 +4,18 @@ import logging
 import os
 import shutil
 import uuid
-from typing import Any, Dict, List, Optional
+from typing import TYPE_CHECKING, Any, Dict, List, Optional

-from chromadb.api import ClientAPI
+# Type checking imports that don't cause runtime imports
+if TYPE_CHECKING:
+    import chromadb
+    from chromadb.api import ClientAPI
+    from chromadb.config import Settings

 from crewai.memory.storage.base_rag_storage import BaseRAGStorage
 from crewai.utilities import EmbeddingConfigurator
-from crewai.utilities.constants import MAX_FILE_NAME_LENGTH
+from crewai.utilities.chromadb import sanitize_collection_name
+from crewai.utilities.logger import Logger
 from crewai.utilities.paths import db_storage_path


@@ -37,76 +42,45 @@ class RAGStorage(BaseRAGStorage):
    search efficiency.
    """

-    app: ClientAPI | None = None
+    collection: Optional[Any] = None
+    collection_name: Optional[str] = "memory"
+    app: Optional[Any] = None

    def __init__(
-        self, type, allow_reset=True, embedder_config=None, crew=None, path=None
+        self,
+        type: str = "memory",
+        allow_reset: bool = True,
+        embedder_config: Optional[Dict[str, Any]] = None,
+        crew: Any = None,
+        collection_name: Optional[str] = None,
    ):
        super().__init__(type, allow_reset, embedder_config, crew)
-        agents = crew.agents if crew else []
-        agents = [self._sanitize_role(agent.role) for agent in agents]
-        agents = "_".join(agents)
-        self.agents = agents
-        self.storage_file_name = self._build_storage_file_name(type, agents)
+        self.collection_name = collection_name or type
+        self._set_embedder_config(embedder_config)

-        self.type = type
+    def save(
+        self,
+        value: Any,
+        metadata: Dict[str, Any],
+    ) -> None:
+        with suppress_logging():
+            if not self.collection:
+                self._initialize_app()

-        self.allow_reset = allow_reset
-        self.path = path
-        self._initialize_app()
+            if isinstance(value, list):
+                documents = value
+                metadatas = [metadata] * len(value) if metadata else None
+                ids = [str(uuid.uuid4()) for _ in range(len(documents))]
+            else:
+                documents = [value]
+                metadatas = [metadata] if metadata else None
+                ids = [str(uuid.uuid4())]

-    def _set_embedder_config(self):
-        configurator = EmbeddingConfigurator()
-        self.embedder_config = configurator.configure_embedder(self.embedder_config)
-
-    def _initialize_app(self):
-        import chromadb
-        from chromadb.config import Settings
-
-        self._set_embedder_config()
-        chroma_client = chromadb.PersistentClient(
-            path=self.path if self.path else self.storage_file_name,
-            settings=Settings(allow_reset=self.allow_reset),
-        )
-
-        self.app = chroma_client
-
-        try:
-            self.collection = self.app.get_collection(
-                name=self.type, embedding_function=self.embedder_config
+            self.collection.add(
+                documents=documents,
+                metadatas=metadatas,
+                ids=ids,
            )
-        except Exception:
-            self.collection = self.app.create_collection(
-                name=self.type, embedding_function=self.embedder_config
-            )
-
-    def _sanitize_role(self, role: str) -> str:
-        """
-        Sanitizes agent roles to ensure valid directory names.
-        """
-        return role.replace("\n", "").replace(" ", "_").replace("/", "_")
-
-    def _build_storage_file_name(self, type: str, file_name: str) -> str:
-        """
-        Ensures file name does not exceed max allowed by OS
-        """
-        base_path = f"{db_storage_path()}/{type}"
-
-        if len(file_name) > MAX_FILE_NAME_LENGTH:
-            logging.warning(
-                f"Trimming file name from {len(file_name)} to {MAX_FILE_NAME_LENGTH} characters."
-            )
-            file_name = file_name[:MAX_FILE_NAME_LENGTH]
-
-        return f"{base_path}/{file_name}"
-
-    def save(self, value: Any, metadata: Dict[str, Any]) -> None:
-        if not hasattr(self, "app") or not hasattr(self, "collection"):
-            self._initialize_app()
-        try:
-            self._generate_embedding(value, metadata)
-        except Exception as e:
-            logging.error(f"Error during {self.type} save: {str(e)}")

    def search(
        self,
@@ -115,54 +89,96 @@ class RAGStorage(BaseRAGStorage):
        filter: Optional[dict] = None,
        score_threshold: float = 0.35,
    ) -> List[Any]:
-        if not hasattr(self, "app"):
-            self._initialize_app()
+        with suppress_logging():
+            if not hasattr(self, "collection") or not self.collection:
+                self._initialize_app()

-        try:
-            with suppress_logging():
-                response = self.collection.query(query_texts=query, n_results=limit)
+            if isinstance(query, str):
+                query = [query]

+            fetched = self.collection.query(
+                query_texts=query,
+                n_results=limit,
+                where=filter,
+            )
            results = []
-            for i in range(len(response["ids"][0])):
+            for i in range(len(fetched["ids"][0])):  # type: ignore
                result = {
-                    "id": response["ids"][0][i],
-                    "metadata": response["metadatas"][0][i],
-                    "context": response["documents"][0][i],
-                    "score": response["distances"][0][i],
+                    "id": fetched["ids"][0][i],  # type: ignore
+                    "metadata": fetched["metadatas"][0][i],  # type: ignore
+                    "context": fetched["documents"][0][i],  # type: ignore
+                    "score": fetched["distances"][0][i],  # type: ignore
                }
                if result["score"] >= score_threshold:
                    results.append(result)
-
            return results
-        except Exception as e:
-            logging.error(f"Error during {self.type} search: {str(e)}")
-            return []

-    def _generate_embedding(self, text: str, metadata: Dict[str, Any]) -> None:  # type: ignore
-        if not hasattr(self, "app") or not hasattr(self, "collection"):
+    def _initialize_app(self):
+        # Import chromadb here to avoid importing at module level
+        import chromadb
+        from chromadb.config import Settings
+        
+        base_path = os.path.join(db_storage_path(), "memory")
+        chroma_client = chromadb.PersistentClient(
+            path=base_path,
+            settings=Settings(allow_reset=self.allow_reset),
+        )
+
+        self.app = chroma_client
+
+        try:
+            collection_name = (
+                f"memory_{self.collection_name}"
+                if self.collection_name
+                else "memory"
+            )
+            if self.app:
+                self.collection = self.app.get_or_create_collection(
+                    name=sanitize_collection_name(collection_name),
+                    embedding_function=self.embedder,
+                )
+            else:
+                raise Exception("Vector Database Client not initialized")
+        except Exception:
+            raise Exception("Failed to create or get collection")
+
+    def initialize_rag_storage(self):
+        self._initialize_app()
+
+    def reset(self) -> None:
+        # Import chromadb here to avoid importing at module level
+        import chromadb
+        from chromadb.config import Settings
+        
+        base_path = os.path.join(db_storage_path(), "memory")
+        if not self.app:
+            self.app = chromadb.PersistentClient(
+                path=base_path,
+                settings=Settings(allow_reset=True),
+            )
+
+        self.app.reset()
+        shutil.rmtree(base_path)
+        self.app = None
+        self.collection = None
+
+    def _generate_embedding(
+        self, text: str, metadata: Optional[Dict[str, Any]] = None
+    ) -> Any:
+        if not hasattr(self, "collection") or not self.collection:
            self._initialize_app()

+        id = str(uuid.uuid4())
        self.collection.add(
            documents=[text],
            metadatas=[metadata or {}],
-            ids=[str(uuid.uuid4())],
+            ids=[id],
        )
+        return id

-    def reset(self) -> None:
-        try:
-            if self.app:
-                self.app.reset()
-                shutil.rmtree(f"{db_storage_path()}/{self.type}")
-                self.app = None
-                self.collection = None
-        except Exception as e:
-            if "attempt to write a readonly database" in str(e):
-                # Ignore this specific error
-                pass
-            else:
-                raise Exception(
-                    f"An error occurred while resetting the {self.type} memory: {e}"
-                )
+    def _sanitize_role(self, role: str) -> str:
+        """Sanitize role name for use in file names."""
+        return role.lower().replace(" ", "_").replace("\n", "").replace("/", "_")

    def _create_default_embedding_function(self):
        from chromadb.utils.embedding_functions.openai_embedding_function import (
@@ -172,3 +188,20 @@ class RAGStorage(BaseRAGStorage):
        return OpenAIEmbeddingFunction(
            api_key=os.getenv("OPENAI_API_KEY"), model_name="text-embedding-3-small"
        )
+
+    def _set_embedder_config(self, embedder_config: Optional[Dict[str, Any]] = None) -> None:
+        """Set the embedding configuration for the RAG storage.
+
+        Args:
+            embedder_config (Optional[Dict[str, Any]]): Configuration dictionary for the embedder.
+                If None or empty, defaults to the default embedding function.
+        """
+        self.embedder = (
+            EmbeddingConfigurator().configure_embedder(embedder_config)
+            if embedder_config
+            else self._create_default_embedding_function()
+        )
+
+    def _build_storage_file_name(self, role_name: str) -> str:
+        """Build storage file name from role name."""
+        return f"{self._sanitize_role(role_name)}_memory"
--- a/src/crewai/utilities/embedding_configurator.py
+++ b/src/crewai/utilities/embedding_configurator.py
@@ -1,8 +1,10 @@
 import os
-from typing import Any, Dict, Optional, cast
+from typing import TYPE_CHECKING, Any, Dict, Optional, cast

-from chromadb import Documents, EmbeddingFunction, Embeddings
-from chromadb.api.types import validate_embedding_function
+# Type checking imports that don't cause runtime imports
+if TYPE_CHECKING:
+    from chromadb import Documents, EmbeddingFunction, Embeddings
+    from chromadb.api.types import EmbeddingFunction


 class EmbeddingConfigurator:
@@ -24,8 +26,12 @@ class EmbeddingConfigurator:
    def configure_embedder(
        self,
        embedder_config: Optional[Dict[str, Any]] = None,
-    ) -> EmbeddingFunction:
+    ) -> 'EmbeddingFunction':
        """Configures and returns an embedding function based on the provided config."""
+        # Import here to avoid importing chromadb at module level
+        from chromadb import EmbeddingFunction
+        from chromadb.api.types import validate_embedding_function
+        
        if embedder_config is None:
            return self._create_default_embedding_function()

@@ -182,6 +188,9 @@ class EmbeddingConfigurator:
                "IBM Watson dependencies are not installed. Please install them to use Watson embedding."
            ) from e

+        # Import chromadb types here to avoid importing at module level
+        from chromadb import Documents, EmbeddingFunction, Embeddings
+
        class WatsonEmbeddingFunction(EmbeddingFunction):
            def __call__(self, input: Documents) -> Embeddings:
                if isinstance(input, str):
@@ -212,6 +221,10 @@ class EmbeddingConfigurator:

    @staticmethod
    def _configure_custom(config):
+        # Import here to avoid importing chromadb at module level
+        from chromadb import EmbeddingFunction
+        from chromadb.api.types import validate_embedding_function
+        
        custom_embedder = config.get("embedder")
        if isinstance(custom_embedder, EmbeddingFunction):
            try:
--- a/tests/crew_test.py
+++ b/tests/crew_test.py
--- a/tests/utilities/test_embedding_configurator.py
+++ b/tests/utilities/test_embedding_configurator.py
@@ -0,0 +1,49 @@
+import importlib
+import sys
+from unittest.mock import MagicMock, patch
+
+import pytest
+
+
+class TestEmbeddingConfiguratorImports:
+    """Test that ChromaDB is not imported at module level."""
+    
+    def test_no_chromadb_import_at_module_level(self):
+        """Test that chromadb is not imported when the module is imported."""
+        for module_name in list(sys.modules.keys()):
+            if module_name.startswith('crewai.utilities.embedding_configurator'):
+                del sys.modules[module_name]
+        
+        mock_chromadb = MagicMock()
+        
+        chromadb_imported = [False]
+        
+        def mock_import(name, *args, **kwargs):
+            if name == 'chromadb':
+                chromadb_imported[0] = True
+                return mock_chromadb
+            return importlib.__import__(name, *args, **kwargs)
+        
+        with patch('builtins.__import__', side_effect=mock_import):
+            from crewai.utilities import embedding_configurator
+            
+            assert not chromadb_imported[0], "chromadb was imported at module level"
+    
+    def test_chromadb_import_in_configure_embedder(self):
+        """Test that chromadb is imported when configure_embedder is called."""
+        for module_name in list(sys.modules.keys()):
+            if module_name.startswith('crewai.utilities.embedding_configurator'):
+                del sys.modules[module_name]
+        
+        from crewai.utilities.embedding_configurator import EmbeddingConfigurator
+        
+        mock_chromadb = MagicMock()
+        
+        def mock_import(name, *args, **kwargs):
+            if name == 'chromadb':
+                raise ImportError("Mock import error for chromadb")
+            return importlib.__import__(name, *args, **kwargs)
+        
+        with patch('builtins.__import__', side_effect=mock_import):
+            with pytest.raises(ImportError, match="Mock import error for chromadb"):
+                EmbeddingConfigurator().configure_embedder()
--- a/tests/utilities/test_knowledge_planning.py
+++ b/tests/utilities/test_knowledge_planning.py
@@ -29,7 +29,7 @@ def mock_knowledge_source():
    """
    return StringKnowledgeSource(content=content)

-@patch('crewai.knowledge.storage.knowledge_storage.chromadb')
+@patch('chromadb.PersistentClient')
 def test_knowledge_included_in_planning(mock_chroma):
    """Test that verifies knowledge sources are properly included in planning."""
    # Mock ChromaDB collection
--- a/tests/utilities/test_planning_handler.py
+++ b/tests/utilities/test_planning_handler.py
@@ -100,7 +100,7 @@ class InternalCrewPlanner:
        # Knowledge field should not be present when empty
        assert '"agent_knowledge"' not in tasks_summary

-    @patch('crewai.knowledge.storage.knowledge_storage.chromadb')
+    @patch('chromadb.PersistentClient')
    def test_create_tasks_summary_with_knowledge_and_tools(self, mock_chroma):
        """Test task summary generation with both knowledge and tools present."""
        # Mock ChromaDB collection
--- a/uv.lock
+++ b/uv.lock
@@ -1,32 +1,18 @@
 version = 1
-revision = 1
 requires-python = ">=3.10, <3.13"
 resolution-markers = [
-    "python_full_version < '3.11' and platform_python_implementation == 'PyPy' and sys_platform == 'darwin'",
-    "python_full_version < '3.11' and platform_python_implementation != 'PyPy' and sys_platform == 'darwin'",
-    "python_version < '0'",
-    "python_full_version < '3.11' and platform_machine == 'aarch64' and platform_python_implementation == 'PyPy' and sys_platform == 'linux'",
-    "python_full_version < '3.11' and platform_machine == 'aarch64' and platform_python_implementation != 'PyPy' and sys_platform == 'linux'",
-    "(python_full_version < '3.11' and platform_machine != 'aarch64' and platform_python_implementation == 'PyPy' and sys_platform == 'linux') or (python_full_version < '3.11' and platform_python_implementation == 'PyPy' and sys_platform != 'darwin' and sys_platform != 'linux')",
-    "(python_full_version < '3.11' and platform_machine != 'aarch64' and platform_python_implementation != 'PyPy' and sys_platform == 'linux') or (python_full_version < '3.11' and platform_python_implementation != 'PyPy' and sys_platform != 'darwin' and sys_platform != 'linux')",
-    "python_full_version == '3.11.*' and platform_python_implementation == 'PyPy' and sys_platform == 'darwin'",
-    "python_full_version == '3.11.*' and platform_python_implementation != 'PyPy' and sys_platform == 'darwin'",
-    "python_full_version == '3.11.*' and platform_machine == 'aarch64' and platform_python_implementation == 'PyPy' and sys_platform == 'linux'",
-    "python_full_version == '3.11.*' and platform_machine == 'aarch64' and platform_python_implementation != 'PyPy' and sys_platform == 'linux'",
-    "(python_full_version == '3.11.*' and platform_machine != 'aarch64' and platform_python_implementation == 'PyPy' and sys_platform == 'linux') or (python_full_version == '3.11.*' and platform_python_implementation == 'PyPy' and sys_platform != 'darwin' and sys_platform != 'linux')",
-    "(python_full_version == '3.11.*' and platform_machine != 'aarch64' and platform_python_implementation != 'PyPy' and sys_platform == 'linux') or (python_full_version == '3.11.*' and platform_python_implementation != 'PyPy' and sys_platform != 'darwin' and sys_platform != 'linux')",
-    "python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_python_implementation == 'PyPy' and sys_platform == 'darwin'",
-    "python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_python_implementation != 'PyPy' and sys_platform == 'darwin'",
-    "python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine == 'aarch64' and platform_python_implementation == 'PyPy' and sys_platform == 'linux'",
-    "python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine == 'aarch64' and platform_python_implementation != 'PyPy' and sys_platform == 'linux'",
-    "(python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine != 'aarch64' and platform_python_implementation == 'PyPy' and sys_platform == 'linux') or (python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_python_implementation == 'PyPy' and sys_platform != 'darwin' and sys_platform != 'linux')",
-    "(python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine != 'aarch64' and platform_python_implementation != 'PyPy' and sys_platform == 'linux') or (python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_python_implementation != 'PyPy' and sys_platform != 'darwin' and sys_platform != 'linux')",
-    "python_full_version >= '3.12.4' and platform_python_implementation == 'PyPy' and sys_platform == 'darwin'",
-    "python_full_version >= '3.12.4' and platform_python_implementation != 'PyPy' and sys_platform == 'darwin'",
-    "python_full_version >= '3.12.4' and platform_machine == 'aarch64' and platform_python_implementation == 'PyPy' and sys_platform == 'linux'",
-    "python_full_version >= '3.12.4' and platform_machine == 'aarch64' and platform_python_implementation != 'PyPy' and sys_platform == 'linux'",
-    "(python_full_version >= '3.12.4' and platform_machine != 'aarch64' and platform_python_implementation == 'PyPy' and sys_platform == 'linux') or (python_full_version >= '3.12.4' and platform_python_implementation == 'PyPy' and sys_platform != 'darwin' and sys_platform != 'linux')",
-    "(python_full_version >= '3.12.4' and platform_machine != 'aarch64' and platform_python_implementation != 'PyPy' and sys_platform == 'linux') or (python_full_version >= '3.12.4' and platform_python_implementation != 'PyPy' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version < '3.11' and sys_platform == 'darwin'",
+    "python_full_version < '3.11' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version < '3.11' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version == '3.11.*' and sys_platform == 'darwin'",
+    "python_full_version == '3.11.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version == '3.11.*' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version == '3.11.*' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version >= '3.12' and python_full_version < '3.12.4' and sys_platform == 'darwin'",
+    "python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.12' and python_full_version < '3.12.4' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version >= '3.12.4' and sys_platform == 'darwin'",
+    "python_full_version >= '3.12.4' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version >= '3.12.4' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.12.4' and sys_platform != 'darwin' and sys_platform != 'linux')",
 ]

 [[package]]
@@ -128,18 +114,6 @@ wheels = [
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Author	SHA1	Message	Date
Devin AI	f1015827e4	Fix: Update import sorting and implement abstract methods Co-Authored-By: Joe Moura <joao@crewai.com>	2025-04-24 10:31:59 +00:00
Devin AI	f2c9c5581c	Fix: Update tests to work with lazy ChromaDB imports Co-Authored-By: Joe Moura <joao@crewai.com>	2025-04-24 10:22:18 +00:00
Devin AI	4434481f03	Fix: Make ChromaDB imports lazy to prevent SQLite3 version check on import (fixes #2682 ) Co-Authored-By: Joe Moura <joao@crewai.com>	2025-04-24 10:18:03 +00:00