chore: import upstream snapshot with attribution

examples/reasoning_content/gpt_oss_stream.py

@@ -0,0 +1,54 @@
+import asyncio
+import os
+
+from openai import AsyncOpenAI
+from openai.types.shared import Reasoning
+
+from agents import (
+    Agent,
+    ModelSettings,
+    OpenAIChatCompletionsModel,
+    Runner,
+    set_tracing_disabled,
+)
+
+set_tracing_disabled(True)
+
+# import logging
+# logging.basicConfig(level=logging.DEBUG)
+
+gpt_oss_model = OpenAIChatCompletionsModel(
+    model="openai/gpt-oss-20b",
+    openai_client=AsyncOpenAI(
+        base_url="https://openrouter.ai/api/v1",
+        api_key=os.getenv("OPENROUTER_API_KEY"),
+    ),
+)
+
+
+async def main():
+    agent = Agent(
+        name="Assistant",
+        instructions="You're a helpful assistant. You provide a concise answer to the user's question.",
+        model=gpt_oss_model,
+        model_settings=ModelSettings(
+            reasoning=Reasoning(effort="high", summary="detailed"),
+        ),
+    )
+
+    result = Runner.run_streamed(agent, "Tell me about recursion in programming.")
+    print("=== Run starting ===")
+    print("\n")
+    async for event in result.stream_events():
+        if event.type == "raw_response_event":
+            if event.data.type == "response.reasoning_text.delta":
+                print(f"\033[33m{event.data.delta}\033[0m", end="", flush=True)
+            elif event.data.type == "response.output_text.delta":
+                print(f"\033[32m{event.data.delta}\033[0m", end="", flush=True)
+
+    print("\n")
+    print("=== Run complete ===")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())