Fix dataclasses.asdict on the msgspec ServerArgs (#38958)

Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>

examples/runtime/engine/offline_batch_inference.py

@@ -4,7 +4,8 @@ python3 offline_batch_inference.py  --model meta-llama/Llama-3.1-8B-Instruct
 """
 
 import argparse
-import dataclasses
+
+import msgspec
 
 import sglang as sgl
 from sglang.srt.server_args import ServerArgs
@@ -24,7 +25,7 @@ def main(
     sampling_params = {"temperature": 0.8, "top_p": 0.95}
 
     # Create an LLM.
-    llm = sgl.Engine(**dataclasses.asdict(server_args))
+    llm = sgl.Engine(**msgspec.structs.asdict(server_args))
 
     outputs = llm.generate(prompts, sampling_params)
     # Print the outputs.

examples/runtime/engine/offline_batch_inference_async.py

@@ -9,9 +9,10 @@ which is useful to implement an online-like generation with batched inference.
 
 import argparse
 import asyncio
-import dataclasses
 import time
 
+import msgspec
+
 import sglang as sgl
 from sglang.srt.server_args import ServerArgs
 
@@ -26,7 +27,7 @@ class InferenceEngine:
 
 
 async def run_server(server_args):
-    inference = InferenceEngine(**dataclasses.asdict(server_args))
+    inference = InferenceEngine(**msgspec.structs.asdict(server_args))
 
     # Sample prompts.
     prompts = [

examples/runtime/engine/offline_batch_inference_vlm.py

@@ -4,7 +4,8 @@ python offline_batch_inference_vlm.py --model-path Qwen/Qwen2-VL-7B-Instruct
 """
 
 import argparse
-import dataclasses
+
+import msgspec
 
 import sglang as sgl
 from sglang.srt.parser.conversation import chat_templates
@@ -14,7 +15,7 @@ from sglang.srt.server_args import ServerArgs
 def main(
     server_args: ServerArgs,
 ):
-    vlm = sgl.Engine(**dataclasses.asdict(server_args))
+    vlm = sgl.Engine(**msgspec.structs.asdict(server_args))
 
     conv = chat_templates[server_args.chat_template].copy()
     image_token = conv.image_token