Fix comments to end with periods

src/agents/_run_impl.py

@@ -134,7 +134,7 @@ class ProcessedResponse:
     tools_used: list[str]  # Names of all tools used, including hosted tools
 
     def has_tools_to_run(self) -> bool:
-        # Handoffs, functions and computer actions need local processing
+        # Handoffs, functions, and computer actions need local processing.
         # Hosted tools have already run, so there's nothing to do.
         return any(
             [
@@ -202,9 +202,9 @@ async def execute_tools_and_side_effects(
         cls,
         *,
         agent: Agent[TContext],
-        # The original input to the Runner
+        # The original input to the Runner.
         original_input: str | list[TResponseInputItem],
-        # Everything generated by Runner since the original input, but before the current step
+        # Everything generated by Runner since the original input, but before the current step.
         pre_step_items: list[RunItem],
         new_response: ModelResponse,
         processed_response: ProcessedResponse,
@@ -213,13 +213,13 @@ async def execute_tools_and_side_effects(
         context_wrapper: RunContextWrapper[TContext],
         run_config: RunConfig,
     ) -> SingleStepResult:
-        # Make a copy of the generated items
+        # Make a copy of the generated items.
         pre_step_items = list(pre_step_items)
 
         new_step_items: list[RunItem] = []
         new_step_items.extend(processed_response.new_items)
 
-        # First, lets run the tool calls - function tools and computer actions
+        # First, let us run the tool calls: function tools and computer actions.
         function_results, computer_results = await asyncio.gather(
             cls.execute_function_tool_calls(
                 agent=agent,
@@ -239,7 +239,7 @@ async def execute_tools_and_side_effects(
         new_step_items.extend([result.run_item for result in function_results])
         new_step_items.extend(computer_results)
 
-        # Second, check if there are any handoffs
+        # Second, check whether there are any handoffs.
         if run_handoffs := processed_response.handoffs:
             return await cls.execute_handoffs(
                 agent=agent,
@@ -253,7 +253,7 @@ async def execute_tools_and_side_effects(
                 run_config=run_config,
             )
 
-        # Third, we'll check if the tool use should result in a final output
+        # Third, we check whether the tool use should result in a final output.
         check_tool_use = await cls._check_for_final_output_from_tools(
             agent=agent,
             tool_results=function_results,
@@ -262,7 +262,7 @@ async def execute_tools_and_side_effects(
         )
 
         if check_tool_use.is_final_output:
-            # If the output type is str, then let's just stringify it
+            # If the output type is str, then just stringify it.
             if not agent.output_type or agent.output_type is str:
                 check_tool_use.final_output = str(check_tool_use.final_output)
 
@@ -283,17 +283,17 @@ async def execute_tools_and_side_effects(
                 context_wrapper=context_wrapper,
             )
 
-        # Now we can check if the model also produced a final output
+        # Now we can check whether the model also produced a final output.
         message_items = [item for item in new_step_items if isinstance(item, MessageOutputItem)]
 
-        # We'll use the last content output as the final output
+        # We use the last content output as the final output.
         potential_final_output_text = (
             ItemHelpers.extract_last_text(message_items[-1].raw_item) if message_items else None
         )
 
-        # There are two possibilities that lead to a final output:
-        # 1. Structured output schema => always leads to a final output
-        # 2. Plain text output schema => only leads to a final output if there are no tool calls
+        # There are two possibilities that lead to a final output.
+        # 1. Structured output schema always leads to a final output.
+        # 2. Plain text output schema leads to a final output only if there are no tool calls.
         if output_schema and not output_schema.is_plain_text() and potential_final_output_text:
             final_output = output_schema.validate_json(potential_final_output_text)
             return await cls.execute_final_output(
@@ -320,7 +320,7 @@ async def execute_tools_and_side_effects(
                 context_wrapper=context_wrapper,
             )
         else:
-            # If there's no final output, we can just run again
+            # If there is no final output, we can run again.
             return SingleStepResult(
                 original_input=original_input,
                 model_response=new_response,
@@ -392,21 +392,21 @@ def process_model_response(
                 logger.warning(f"Unexpected output type, ignoring: {type(output)}")
                 continue
 
-            # At this point we know it's a function tool call
+            # At this point we know it is a function tool call.
             if not isinstance(output, ResponseFunctionToolCall):
                 continue
 
             tools_used.append(output.name)
 
-            # Handoffs
+            # Handoffs.
             if output.name in handoff_map:
                 items.append(HandoffCallItem(raw_item=output, agent=agent))
                 handoff = ToolRunHandoff(
                     tool_call=output,
                     handoff=handoff_map[output.name],
                 )
                 run_handoffs.append(handoff)
-            # Regular function tool call
+            # Regular function tool call.
             else:
                 if output.name not in function_map:
                     _error_tracing.attach_error_to_current_span(
@@ -513,7 +513,7 @@ async def execute_computer_actions(
         config: RunConfig,
     ) -> list[RunItem]:
         results: list[RunItem] = []
-        # Need to run these serially, because each action can affect the computer state
+        # These must run serially because each action can affect the computer state.
         for action in actions:
             results.append(
                 await ComputerAction.execute(
@@ -541,7 +541,7 @@ async def execute_handoffs(
         context_wrapper: RunContextWrapper[TContext],
         run_config: RunConfig,
     ) -> SingleStepResult:
-        # If there is more than one handoff, add tool responses that reject those handoffs
+        # If there is more than one handoff, add tool responses that reject those handoffs.
         multiple_handoffs = len(run_handoffs) > 1
         if multiple_handoffs:
             output_message = "Multiple handoffs detected, ignoring this one."
@@ -576,7 +576,7 @@ async def execute_handoffs(
                     )
                 )
 
-            # Append a tool output item for the handoff
+            # Append a tool output item for the handoff.
             new_step_items.append(
                 HandoffOutputItem(
                     agent=agent,
@@ -589,7 +589,7 @@ async def execute_handoffs(
                 )
             )
 
-            # Execute handoff hooks
+            # Execute handoff hooks.
             await asyncio.gather(
                 hooks.on_handoff(
                     context=context_wrapper,
@@ -607,7 +607,7 @@ async def execute_handoffs(
                 ),
             )
 
-            # If there's an input filter, filter the input for the next agent
+            # If there is an input filter, filter the input for the next agent.
             input_filter = handoff.input_filter or (
                 run_config.handoff_input_filter if run_config else None
             )
@@ -669,7 +669,7 @@ async def execute_final_output(
         hooks: RunHooks[TContext],
         context_wrapper: RunContextWrapper[TContext],
     ) -> SingleStepResult:
-        # Run the on_end hooks
+        # Run the on_end hooks.
         await cls.run_final_output_hooks(agent, hooks, context_wrapper, final_output)
 
         return SingleStepResult(
@@ -862,22 +862,22 @@ async def execute(
             ),
         )
 
-        # Cache screenshots to avoid resending duplicate images.
-        image_id, is_new = _cache_screenshot(output)
-        if is_new:
-            image_url = f"data:image/png;base64,{output}"
-            raw_output = {
-                "type": "computer_screenshot",
-                "image_url": image_url,
-                "image_id": image_id,
-            }
-            final_output = image_url
-        else:
-            raw_output = {
-                "type": "computer_screenshot_ref",
-                "image_id": image_id,
-            }
-            final_output = image_id
+# TODO: Cache screenshots; avoid resending duplicate images.
+image_id, is_new = _cache_screenshot(output)
+if is_new:
+    image_url = f"data:image/png;base64,{output}"
+    raw_output = {
+        "type": "computer_screenshot",
+        "image_url": image_url,
+        "image_id": image_id,
+    }
+    final_output = image_url
+else:
+    raw_output = {
+        "type": "computer_screenshot_ref",
+        "image_id": image_id,
+    }
+    final_output = image_id
         return ToolCallOutputItem(
             agent=agent,
             output=final_output,

src/agents/agent_output.py

@@ -92,8 +92,7 @@ def __init__(self, output_type: type[Any], strict_json_schema: bool = True):
             self._output_schema = self._type_adapter.json_schema()
             return
 
-        # We should wrap for things that are not plain text, and for things that would definitely
-        # not be a JSON Schema object.
+        # We should wrap for things that are not plain text and for things that would definitely not be a JSON Schema object.
         self._is_wrapped = not _is_subclass_of_base_model_or_dict(output_type)
 
         if self._is_wrapped:
@@ -172,11 +171,11 @@ def _is_subclass_of_base_model_or_dict(t: Any) -> bool:
     if not isinstance(t, type):
         return False
 
-    # If it's a generic alias, 'origin' will be the actual type, e.g. 'list'
+    # If it is a generic alias, 'origin' will be the actual type, e.g. 'list'.
     origin = get_origin(t)
 
     allowed_types = (BaseModel, dict)
-    # If it's a generic alias e.g. list[str], then we should check the origin type i.e. list
+    # If it is a generic alias, e.g. list[str], then we should check the origin type, i.e. list.
     return issubclass(origin or t, allowed_types)
 
 

src/agents/extensions/handoff_prompt.py

@@ -1,5 +1,5 @@
-# A recommended prompt prefix for agents that use handoffs. We recommend including this or
-# similar instructions in any agents that use handoffs.
+# A recommended prompt prefix for agents that use handoffs.
+# We recommend including this or similar instructions in any agents that use handoffs.
 RECOMMENDED_PROMPT_PREFIX = (
     "# System context\n"
     "You are part of a multi-agent system called the Agents SDK, designed to make agent "

src/agents/extensions/visualization.py

@@ -43,14 +43,14 @@ def get_all_nodes(agent: Agent, parent: Optional[Agent] = None) -> str:
     """
     parts = []
 
-    # Start and end the graph
+    # Start and end the graph.
     parts.append(
         '"__start__" [label="__start__", shape=ellipse, style=filled, '
         "fillcolor=lightblue, width=0.5, height=0.3];"
         '"__end__" [label="__end__", shape=ellipse, style=filled, '
         "fillcolor=lightblue, width=0.5, height=0.3];"
     )
-    # Ensure parent agent node is colored
+    # Ensure the parent agent node is colored.
     if not parent:
         parts.append(
             f'"{agent.name}" [label="{agent.name}", shape=box, style=filled, '