refactor: remove kwargs spread after agent call

src/strands/agent/agent.py

@@ -14,7 +14,7 @@
 import os
 import random
 from concurrent.futures import ThreadPoolExecutor
-from typing import Any, AsyncIterator, Callable, Generator, Mapping, Optional, Type, TypeVar, Union, cast
+from typing import Any, AsyncIterator, Callable, Generator, List, Mapping, Optional, Type, TypeVar, Union, cast
 
 from opentelemetry import trace
 from pydantic import BaseModel
@@ -31,7 +31,7 @@
 from ..types.content import ContentBlock, Message, Messages
 from ..types.exceptions import ContextWindowOverflowException
 from ..types.models import Model
-from ..types.tools import ToolConfig
+from ..types.tools import ToolConfig, ToolResult, ToolUse
 from ..types.traces import AttributeValue
 from .agent_result import AgentResult
 from .conversation_manager import (
@@ -97,104 +97,56 @@ def __getattr__(self, name: str) -> Callable[..., Any]:
                 AttributeError: If no tool with the given name exists or if multiple tools match the given name.
             """
 
-            def find_normalized_tool_name() -> Optional[str]:
-                """Lookup the tool represented by name, replacing characters with underscores as necessary."""
-                tool_registry = self._agent.tool_registry.registry
-
-                if tool_registry.get(name, None):
-                    return name
-
-                # If the desired name contains underscores, it might be a placeholder for characters that can't be
-                # represented as python identifiers but are valid as tool names, such as dashes. In that case, find
-                # all tools that can be represented with the normalized name
-                if "_" in name:
-                    filtered_tools = [
-                        tool_name for (tool_name, tool) in tool_registry.items() if tool_name.replace("-", "_") == name
-                    ]
-
-                    # The registry itself defends against similar names, so we can just take the first match
-                    if filtered_tools:
-                        return filtered_tools[0]
-
-                raise AttributeError(f"Tool '{name}' not found")
-
-            def caller(**kwargs: Any) -> Any:
+            def caller(
+                user_message_override: Optional[str] = None,
+                record_direct_tool_call: Optional[bool] = None,
+                **kwargs: Any,
+            ) -> Any:
                 """Call a tool directly by name.
 
                 Args:
+                    user_message_override: Optional custom message to record instead of default
+                    record_direct_tool_call: Whether to record direct tool calls in message history. Overrides class
+                        attribute if provided.
                     **kwargs: Keyword arguments to pass to the tool.
 
-                        - user_message_override: Custom message to record instead of default
-                        - tool_execution_handler: Custom handler for tool execution
-                        - event_loop_metrics: Custom metrics collector
-                        - messages: Custom message history to use
-                        - tool_config: Custom tool configuration
-                        - callback_handler: Custom callback handler
-                        - record_direct_tool_call: Whether to record this call in history
-
                 Returns:
                     The result returned by the tool.
 
                 Raises:
                     AttributeError: If the tool doesn't exist.
                 """
-                normalized_name = find_normalized_tool_name()
+                normalized_name = self._find_normalized_tool_name(name)
 
                 # Create unique tool ID and set up the tool request
                 tool_id = f"tooluse_{name}_{random.randint(100000000, 999999999)}"
-                tool_use = {
+                tool_use: ToolUse = {
                     "toolUseId": tool_id,
                     "name": normalized_name,
                     "input": kwargs.copy(),
                 }
 
-                # Extract tool execution parameters
-                user_message_override = kwargs.get("user_message_override", None)
-                tool_execution_handler = kwargs.get("tool_execution_handler", self._agent.thread_pool_wrapper)
-                event_loop_metrics = kwargs.get("event_loop_metrics", self._agent.event_loop_metrics)
-                messages = kwargs.get("messages", self._agent.messages)
-                tool_config = kwargs.get("tool_config", self._agent.tool_config)
-                callback_handler = kwargs.get("callback_handler", self._agent.callback_handler)
-                record_direct_tool_call = kwargs.get("record_direct_tool_call", self._agent.record_direct_tool_call)
-
-                # Process tool call
-                handler_kwargs = {
-                    k: v
-                    for k, v in kwargs.items()
-                    if k
-                    not in [
-                        "tool_execution_handler",
-                        "event_loop_metrics",
-                        "messages",
-                        "tool_config",
-                        "callback_handler",
-                        "tool_handler",
-                        "system_prompt",
-                        "model",
-                        "model_id",
-                        "user_message_override",
-                        "agent",
-                        "record_direct_tool_call",
-                    ]
-                }
-
                 # Execute the tool
                 tool_result = self._agent.tool_handler.process(
                     tool=tool_use,
                     model=self._agent.model,
                     system_prompt=self._agent.system_prompt,
-                    messages=messages,
-                    tool_config=tool_config,
-                    callback_handler=callback_handler,
-                    tool_execution_handler=tool_execution_handler,
-                    event_loop_metrics=event_loop_metrics,
-                    agent=self._agent,
-                    **handler_kwargs,
+                    messages=self._agent.messages,
+                    tool_config=self._agent.tool_config,
+                    callback_handler=self._agent.callback_handler,
+                    kwargs=kwargs,
                 )
 
-                if record_direct_tool_call:
+                if record_direct_tool_call is not None:
+                    should_record_direct_tool_call = record_direct_tool_call
+                else:
+                    should_record_direct_tool_call = self._agent.record_direct_tool_call
+
+                if should_record_direct_tool_call:
                     # Create a record of this tool execution in the message history
-                    self._agent._record_tool_execution(tool_use, tool_result, user_message_override, messages)
+                    self._agent._record_tool_execution(
+                        tool_use, tool_result, user_message_override, self._agent.messages
+                    )
 
                 # Apply window management
                 self._agent.conversation_manager.apply_management(self._agent)
@@ -203,6 +155,27 @@ def caller(**kwargs: Any) -> Any:
 
             return caller
 
+        def _find_normalized_tool_name(self, name: str) -> str:
+            """Lookup the tool represented by name, replacing characters with underscores as necessary."""
+            tool_registry = self._agent.tool_registry.registry
+
+            if tool_registry.get(name, None):
+                return name
+
+            # If the desired name contains underscores, it might be a placeholder for characters that can't be
+            # represented as python identifiers but are valid as tool names, such as dashes. In that case, find
+            # all tools that can be represented with the normalized name
+            if "_" in name:
+                filtered_tools = [
+                    tool_name for (tool_name, tool) in tool_registry.items() if tool_name.replace("-", "_") == name
+                ]
+
+                # The registry itself defends against similar names, so we can just take the first match
+                if filtered_tools:
+                    return filtered_tools[0]
+
+            raise AttributeError(f"Tool '{name}' not found")
+
     def __init__(
         self,
         model: Union[Model, str, None] = None,
@@ -371,7 +344,7 @@ def __call__(self, prompt: str, **kwargs: Any) -> AgentResult:
 
         Args:
             prompt: The natural language prompt from the user.
-            **kwargs: Additional parameters to pass to the event loop.
+            **kwargs: Additional parameters to pass through the event loop.
 
         Returns:
             Result object containing:
@@ -514,44 +487,35 @@ def _execute_event_loop_cycle(
         Yields:
             Events of the loop cycle.
         """
-        # Extract parameters with fallbacks to instance values
-        system_prompt = kwargs.pop("system_prompt", self.system_prompt)
-        model = kwargs.pop("model", self.model)
-        tool_execution_handler = kwargs.pop("tool_execution_handler", self.thread_pool_wrapper)
-        event_loop_metrics = kwargs.pop("event_loop_metrics", self.event_loop_metrics)
-        callback_handler_override = kwargs.pop("callback_handler", callback_handler)
-        tool_handler = kwargs.pop("tool_handler", self.tool_handler)
-        messages = kwargs.pop("messages", self.messages)
-        tool_config = kwargs.pop("tool_config", self.tool_config)
-        kwargs.pop("agent", None)  # Remove agent to avoid conflicts
+        # Add `Agent` to kwargs to keep backwards-compatibility
+        kwargs["agent"] = self
 
         try:
             # Execute the main event loop cycle
             yield from event_loop_cycle(
-                model=model,
-                system_prompt=system_prompt,
-                messages=messages,  # will be modified by event_loop_cycle
-                tool_config=tool_config,
-                callback_handler=callback_handler_override,
-                tool_handler=tool_handler,
-                tool_execution_handler=tool_execution_handler,
-                event_loop_metrics=event_loop_metrics,
-                agent=self,
+                model=self.model,
+                system_prompt=self.system_prompt,
+                messages=self.messages,  # will be modified by event_loop_cycle
+                tool_config=self.tool_config,
+                callback_handler=callback_handler,
+                tool_handler=self.tool_handler,
+                tool_execution_handler=self.thread_pool_wrapper,
+                event_loop_metrics=self.event_loop_metrics,
                 event_loop_parent_span=self.trace_span,
-                **kwargs,
+                kwargs=kwargs,
             )
 
         except ContextWindowOverflowException as e:
             # Try reducing the context size and retrying
             self.conversation_manager.reduce_context(self, e=e)
-            yield from self._execute_event_loop_cycle(callback_handler_override, kwargs)
+            yield from self._execute_event_loop_cycle(callback_handler, kwargs)
 
     def _record_tool_execution(
         self,
-        tool: dict[str, Any],
-        tool_result: dict[str, Any],
+        tool: ToolUse,
+        tool_result: ToolResult,
         user_message_override: Optional[str],
-        messages: list[dict[str, Any]],
+        messages: Messages,
     ) -> None:
         """Record a tool execution in the message history.
 
@@ -569,7 +533,7 @@ def _record_tool_execution(
             messages: The message history to append to.
         """
         # Create user message describing the tool call
-        user_msg_content = [
+        user_msg_content: List[ContentBlock] = [
             {"text": (f"agent.tool.{tool['name']} direct tool call.\nInput parameters: {json.dumps(tool['input'])}\n")}
         ]
 
@@ -578,19 +542,19 @@ def _record_tool_execution(
             user_msg_content.insert(0, {"text": f"{user_message_override}\n"})
 
         # Create the message sequence
-        user_msg = {
+        user_msg: Message = {
             "role": "user",
             "content": user_msg_content,
         }
-        tool_use_msg = {
+        tool_use_msg: Message = {
             "role": "assistant",
             "content": [{"toolUse": tool}],
         }
-        tool_result_msg = {
+        tool_result_msg: Message = {
             "role": "user",
             "content": [{"toolResult": tool_result}],
         }
-        assistant_msg = {
+        assistant_msg: Message = {
             "role": "assistant",
             "content": [{"text": f"agent.{tool['name']} was called"}],
         }