Update examples (#2300)

examples/agent_patterns/forcing_tool_use.py

@@ -89,11 +89,13 @@ if __name__ == "__main__":
         "-t",
         "--tool-use-behavior",
         type=str,
-        required=True,
+        default="default",
         choices=["default", "first_tool", "custom"],
-        help="The behavior to use for tool use. Default will cause tool outputs to be sent to the model. "
-        "first_tool_result will cause the first tool result to be used as the final output. "
-        "custom will use a custom tool use behavior function.",
+        help=(
+            "The behavior to use for tool use. "
+            "default sends tool outputs back to the model, first_tool uses the first tool result as the final output, "
+            "custom runs a custom tool use behavior function."
+        ),
     )
     args = parser.parse_args()
     asyncio.run(main(args.tool_use_behavior))

examples/basic/prompt_template.py

@@ -18,7 +18,7 @@ Write a poem in {{poem_style}}
 4. Run the example with the `--prompt-id` flag.
 """
 
-DEFAULT_PROMPT_ID = "pmpt_6850729e8ba481939fd439e058c69ee004afaa19c520b78b"
+DEFAULT_PROMPT_ID = "pmpt_6965a984c7ac8194a8f4e79b00f838840118c1e58beb3332"
 
 
 class DynamicContext:

examples/mcp/streamable_http_remote_example/main.py

@@ -0,0 +1,38 @@
+import asyncio
+
+from agents import Agent, Runner, gen_trace_id, trace
+from agents.mcp import MCPServerStreamableHttp
+
+
+async def main():
+    async with MCPServerStreamableHttp(
+        name="DeepWiki MCP Streamable HTTP Server",
+        params={
+            "url": "https://mcp.deepwiki.com/mcp",
+            # Allow more time for remote tool responses.
+            "timeout": 15,
+            "sse_read_timeout": 300,
+        },
+        # Retry slow/unstable remote calls a couple of times.
+        max_retry_attempts=2,
+        retry_backoff_seconds_base=2.0,
+        client_session_timeout_seconds=15,
+    ) as server:
+        agent = Agent(
+            name="DeepWiki Assistant",
+            instructions="Use the tools to respond to user requests.",
+            mcp_servers=[server],
+        )
+
+        trace_id = gen_trace_id()
+        with trace(workflow_name="DeepWiki Streamable HTTP Example", trace_id=trace_id):
+            print(f"View trace: https://platform.openai.com/traces/trace?trace_id={trace_id}\n")
+            result = await Runner.run(
+                agent,
+                "For the repository openai/codex, tell me the primary programming language.",
+            )
+            print(result.final_output)
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

examples/reasoning_content/main.py

@@ -20,7 +20,7 @@ from agents import ModelSettings
 from agents.models.interface import ModelTracing
 from agents.models.openai_provider import OpenAIProvider
 
-MODEL_NAME = os.getenv("EXAMPLE_MODEL_NAME") or "gpt-5"
+MODEL_NAME = os.getenv("REASONING_MODEL_NAME") or "gpt-5"
 
 
 async def stream_with_reasoning_content():