fix(build): 回退到comp168(2d5232c)——唯一确认docker build成功的版本

Dockerfile: comp168结构 (2 COPY + 1 RUN, 无ex_engine, 无CUDA编译)
qwen3_6_scripts/: comp168内容 (31文件, 141行patch_ops.sh)
computility-run.yaml: max_model_len=100000 (comp168=100000, 避免replay 400拒绝)

comp168得分: functional=0.923, replay=60194, total=60194
改动: 只有yaml的max_model_len从comp168的100000保持不变

qwen3_6_scripts/api_server.py

@@ -309,50 +309,12 @@ async def show_version():
     return JSONResponse(content=ver)
 
 
-def _select_error_policy(e: Exception):
-    """CCCL tuning_adjacent_difference policy_selector pattern:
-    Select error handling strategy based on exception characteristics,
-    like policy_selector chooses kernel config based on value_type_size
-    and may_alias.  Returns (status_code, error_code, message)."""
-    err_msg = str(e)
-    err_type = type(e).__name__
-
-    # Policy: OOM → 503 retryable (like LOAD_CA for aliased data)
-    if "OutOfMemory" in err_msg or "CUDA out of memory" in err_msg:
-        return 503, "oom", "GPU memory insufficient for this request"
-
-    # Policy: Engine death → 503 retryable
-    if "Dead" in err_type or "dead" in err_msg.lower():
-        return 503, "engine_dead", "Engine temporarily unavailable"
-
-    # Policy: Validation errors → 400 client error
-    if isinstance(e, (ValueError, TypeError)):
-        return 400, "invalid_request", err_msg
-
-    # Policy: Timeout → 504
-    if "timeout" in err_msg.lower() or "Timeout" in err_type:
-        return 504, "timeout", "Request processing timed out"
-
-    # Default policy: 500 internal
-    return 500, "internal", err_msg
-
-
 @router.post("/v1/chat/completions")
 async def create_chat_completion(request: ChatCompletionRequest,
                                  raw_request: Request):
-    try:
-        generator = await chat(raw_request).create_chat_completion(
-            request, raw_request)
-    except Exception as e:
-        status, code, msg = _select_error_policy(e)
-        if status >= 500:
-            logger.exception("Error in chat completion (policy=%s)", code)
-        else:
-            logger.warning("Client error in chat completion: %s", code)
-        return JSONResponse(
-            content={"error": {"message": msg, "type": "server_error",
-                               "code": code}},
-            status_code=status)
+
+    generator = await chat(raw_request).create_chat_completion(
+        request, raw_request)
 
     if isinstance(generator, ErrorResponse):
         return JSONResponse(content=generator.model_dump(),