chore: import upstream snapshot with attribution

examples/basic/hello_world_gpt_5.py

@@ -0,0 +1,30 @@
+import asyncio
+
+from openai.types.shared import Reasoning
+
+from agents import Agent, ModelSettings, Runner
+
+# If you have a certain reason to use Chat Completions, you can configure the model this way,
+# and then you can pass the chat_completions_model to the Agent constructor.
+# from openai import AsyncOpenAI
+# client = AsyncOpenAI()
+# from agents import OpenAIChatCompletionsModel
+# chat_completions_model = OpenAIChatCompletionsModel(model="gpt-5.6-sol", openai_client=client)
+
+
+async def main():
+    agent = Agent(
+        name="Knowledgable GPT-5 Assistant",
+        instructions="You're a knowledgable assistant. You always provide an interesting answer.",
+        model="gpt-5.6-sol",
+        model_settings=ModelSettings(
+            reasoning=Reasoning(effort="low"),  # "none", "low", "medium", "high", "xhigh"
+            verbosity="low",  # "low", "medium", "high"
+        ),
+    )
+    result = await Runner.run(agent, "Tell me something about recursion in programming.")
+    print(result.final_output)
+
+
+if __name__ == "__main__":
+    asyncio.run(main())