Use datetime.timedelta in openai_agents samples (#312)

workflow.timedelta was an incidental re-export from temporalio's
old workflow.py module. The refactor to a workflow package in
temporalio/sdk-python#1488 dropped it, so use datetime.timedelta
directly (matches the rest of the repo).

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

Author: 2 people

openai_agents/basic/workflows/local_image_workflow.py

@@ -1,3 +1,5 @@
+from datetime import timedelta
+
 from agents import Agent, Runner
 from temporalio import workflow
 
@@ -24,7 +26,7 @@ async def run(
         b64_image = await workflow.execute_activity(
             read_image_as_base64,
             image_path,
-            start_to_close_timeout=workflow.timedelta(seconds=30),
+            start_to_close_timeout=timedelta(seconds=30),
         )
 
         agent = Agent(

openai_agents/reasoning_content/workflows/reasoning_content_workflow.py

@@ -1,4 +1,5 @@
 from dataclasses import dataclass
+from datetime import timedelta
 
 from temporalio import workflow
 
@@ -22,7 +23,7 @@ async def run(self, prompt: str, model_name: str | None = None) -> ReasoningResu
         reasoning_content, regular_content = await workflow.execute_activity(
             get_reasoning_response,
             args=[prompt, model_name],
-            start_to_close_timeout=workflow.timedelta(minutes=5),
+            start_to_close_timeout=timedelta(minutes=5),
         )
 
         return ReasoningResult(