chore: add type annotations to utilities module (#3484)

- Update to Python 3.10+ typing across LLM, callbacks, storage, and errors
- Complete typing updates for crew_chat and hitl
- Add stop attr to mock LLM, suppress test warnings
- Add type-ignore for aisuite import

src/crewai/utilities/errors.py

@@ -1,12 +1,16 @@
-"""Error message definitions for CrewAI database operations."""
+"""Error message definitions for CrewAI database operations.
 
-from typing import Optional
+This module provides standardized error classes and message templates
+for database operations and agent repository handling.
+"""
+
+from typing import Final
 
 
 class DatabaseOperationError(Exception):
     """Base exception class for database operation errors."""
 
-    def __init__(self, message: str, original_error: Optional[Exception] = None):
+    def __init__(self, message: str, original_error: Exception | None = None) -> None:
         """Initialize the database operation error.
 
         Args:
@@ -18,13 +22,17 @@ class DatabaseOperationError(Exception):
 
 
 class DatabaseError:
-    """Standardized error message templates for database operations."""
+    """Standardized error message templates for database operations.
 
-    INIT_ERROR: str = "Database initialization error: {}"
+    Provides consistent error message formatting for various database
-    SAVE_ERROR: str = "Error saving task outputs: {}"
+    operation failures.
-    UPDATE_ERROR: str = "Error updating task outputs: {}"
+    """
-    LOAD_ERROR: str = "Error loading task outputs: {}"
+
-    DELETE_ERROR: str = "Error deleting task outputs: {}"
+    INIT_ERROR: Final[str] = "Database initialization error: {}"
+    SAVE_ERROR: Final[str] = "Error saving task outputs: {}"
+    UPDATE_ERROR: Final[str] = "Error updating task outputs: {}"
+    LOAD_ERROR: Final[str] = "Error loading task outputs: {}"
+    DELETE_ERROR: Final[str] = "Error deleting task outputs: {}"
 
     @classmethod
     def format_error(cls, template: str, error: Exception) -> str:
@@ -42,5 +50,3 @@ class DatabaseError:
 
 class AgentRepositoryError(Exception):
     """Exception raised when an agent repository is not found."""
-
-    ...

src/crewai/utilities/task_output_storage_handler.py

@@ -1,5 +1,11 @@
+"""Task output storage handler for managing task execution results.
+
+This module provides functionality for storing and retrieving task outputs
+from persistent storage, supporting replay and audit capabilities.
+"""
+
 from datetime import datetime
-from typing import Any, Dict, List, Optional
+from typing import Any
 
 from pydantic import BaseModel, Field
 
@@ -8,32 +14,64 @@ from crewai.memory.storage.kickoff_task_outputs_storage import (
 )
 from crewai.task import Task
 
-"""Handles storage and retrieval of task execution outputs."""
-
 
 class ExecutionLog(BaseModel):
-    """Represents a log entry for task execution."""
+    """Represents a log entry for task execution.
+
+    Attributes:
+        task_id: Unique identifier for the task.
+        expected_output: The expected output description for the task.
+        output: The actual output produced by the task.
+        timestamp: When the task was executed.
+        task_index: The position of the task in the execution sequence.
+        inputs: Input parameters provided to the task.
+        was_replayed: Whether this output was replayed from a previous run.
+    """
 
     task_id: str
-    expected_output: Optional[str] = None
+    expected_output: str | None = None
-    output: Dict[str, Any]
+    output: dict[str, Any]
     timestamp: datetime = Field(default_factory=datetime.now)
     task_index: int
-    inputs: Dict[str, Any] = Field(default_factory=dict)
+    inputs: dict[str, Any] = Field(default_factory=dict)
     was_replayed: bool = False
 
     def __getitem__(self, key: str) -> Any:
+        """Enable dictionary-style access to execution log attributes.
+
+        Args:
+            key: The attribute name to access.
+
+        Returns:
+            The value of the requested attribute.
+        """
         return getattr(self, key)
 
 
-"""Manages storage and retrieval of task outputs."""
-
-
 class TaskOutputStorageHandler:
+    """Manages storage and retrieval of task outputs.
+
+    This handler provides an interface to persist and retrieve task execution
+    results, supporting features like replay and audit trails.
+
+    Attributes:
+        storage: The underlying SQLite storage implementation.
+    """
+
     def __init__(self) -> None:
+        """Initialize the task output storage handler."""
         self.storage = KickoffTaskOutputsSQLiteStorage()
 
-    def update(self, task_index: int, log: Dict[str, Any]):
+    def update(self, task_index: int, log: dict[str, Any]) -> None:
+        """Update an existing task output in storage.
+
+        Args:
+            task_index: The index of the task to update.
+            log: Dictionary containing task execution details.
+
+        Raises:
+            ValueError: If no saved outputs exist.
+        """
         saved_outputs = self.load()
         if saved_outputs is None:
             raise ValueError("Logs cannot be None")
@@ -56,16 +94,31 @@ class TaskOutputStorageHandler:
     def add(
         self,
         task: Task,
-        output: Dict[str, Any],
+        output: dict[str, Any],
         task_index: int,
-        inputs: Dict[str, Any] | None = None,
+        inputs: dict[str, Any] | None = None,
         was_replayed: bool = False,
-    ):
+    ) -> None:
+        """Add a new task output to storage.
+
+        Args:
+            task: The task that was executed.
+            output: The output produced by the task.
+            task_index: The position of the task in execution sequence.
+            inputs: Optional input parameters for the task.
+            was_replayed: Whether this is a replayed execution.
+        """
         inputs = inputs or {}
         self.storage.add(task, output, task_index, was_replayed, inputs)
 
-    def reset(self):
+    def reset(self) -> None:
+        """Clear all stored task outputs."""
         self.storage.delete_all()
 
-    def load(self) -> Optional[List[Dict[str, Any]]]:
+    def load(self) -> list[dict[str, Any]] | None:
+        """Load all stored task outputs.
+
+        Returns:
+            List of task output dictionaries, or None if no outputs exist.
+        """
         return self.storage.load()

src/crewai/utilities/token_counter_callback.py

@@ -1,5 +1,11 @@
+"""Token counting callback handler for LLM interactions.
+
+This module provides a callback handler that tracks token usage
+for LLM API calls through the litellm library.
+"""
+
 import warnings
-from typing import Any, Dict, Optional
+from typing import Any
 
 from litellm.integrations.custom_logger import CustomLogger
 from litellm.types.utils import Usage
@@ -8,16 +14,38 @@ from crewai.agents.agent_builder.utilities.base_token_process import TokenProces
 
 
 class TokenCalcHandler(CustomLogger):
-    def __init__(self, token_cost_process: Optional[TokenProcess]):
+    """Handler for calculating and tracking token usage in LLM calls.
+
+    This handler integrates with litellm's logging system to track
+    prompt tokens, completion tokens, and cached tokens across requests.
+
+    Attributes:
+        token_cost_process: The token process tracker to accumulate usage metrics.
+    """
+
+    def __init__(self, token_cost_process: TokenProcess | None) -> None:
+        """Initialize the token calculation handler.
+
+        Args:
+            token_cost_process: Optional token process tracker for accumulating metrics.
+        """
         self.token_cost_process = token_cost_process
 
     def log_success_event(
         self,
-        kwargs: Dict[str, Any],
+        kwargs: dict[str, Any],
-        response_obj: Dict[str, Any],
+        response_obj: dict[str, Any],
         start_time: float,
         end_time: float,
     ) -> None:
+        """Log successful LLM API call and track token usage.
+
+        Args:
+            kwargs: The arguments passed to the LLM call.
+            response_obj: The response object from the LLM API.
+            start_time: The timestamp when the call started.
+            end_time: The timestamp when the call completed.
+        """
         if self.token_cost_process is None:
             return
 

tests/agents/test_lite_agent.py

@@ -1,3 +1,5 @@
+# ruff: noqa: S101
+# mypy: ignore-errors
 from collections import defaultdict
 from typing import cast
 from unittest.mock import Mock, patch