[ROCm][CI] Fix tool use test stability - disable skinny GEMM, prefix caching, eliminate batch variance (#35553)

Signed-off-by: Andreas Karatzas <akaratza@amd.com>

tests/entrypoints/openai/test_completion_with_function_calling.py

@@ -9,14 +9,13 @@ import openai  # use the official client for correctness check
 import pytest
 import pytest_asyncio
 
-from vllm.platforms import current_platform
-
 # downloading lora to test lora requests
-from ...utils import RemoteOpenAIServer
+from ...utils import ROCM_ENV_OVERRIDES, ROCM_EXTRA_ARGS, RemoteOpenAIServer
 
 # any model with a chat template should work here
 MODEL_NAME = "Qwen/Qwen3-0.6B"
 
+
 tools = [
     {
         "type": "function",
@@ -142,19 +141,11 @@ def server():
         "--gpu-memory-utilization",
         "0.4",
         "--enforce-eager",
-    ]
+    ] + ROCM_EXTRA_ARGS
 
-    rocm_args = {
-        "--max-num-seqs": "1",
-        "--no-enable-prefix-caching": None,
-    }
-    if current_platform.is_rocm():
-        for k, v in rocm_args.items():
-            args.append(k)
-            if v is not None:
-                args.append(v)
-
-    with RemoteOpenAIServer(MODEL_NAME, args) as remote_server:
+    with RemoteOpenAIServer(
+        MODEL_NAME, args, env_dict=ROCM_ENV_OVERRIDES
+    ) as remote_server:
         yield remote_server
 
 
@@ -239,12 +230,13 @@ def k2_server():
         "qwen3",
         "--gpu-memory-utilization",
         "0.4",
-    ]
+    ] + ROCM_EXTRA_ARGS
     # hack to test kimi_k2 tool use tool_id format.
     # avoid error in is_deepseek_mla check by setting kv_lora_rank=null
     with RemoteOpenAIServer(
         MODEL_NAME,
         args,
+        env_dict=ROCM_ENV_OVERRIDES,
         override_hf_configs={"model_type": "kimi_k2", "kv_lora_rank": None},
     ) as remote_server:
         yield remote_server