fix: add nv_framework back for API safety

- Remove /bin/bash -ic wrapper from sut_config.command
- Use list format for all command arguments (matches platform auto-gen)
- Add nv_framework field
- Remove unnecessary fields: docker_image, nv_docker_image, modelFormat, model, cpu_num
- Fix ref_config to match platform format (port 80, max_model_len 4096)

main.py

@@ -243,16 +243,15 @@ def check_queue_available(gpu: str, token: str) -> int:
 
 
 def build_config_params(gpu: str) -> str:
-    """构建 YAML 配置"""
+    """构建 YAML 配置 - 完全匹配平台自动生成的格式"""
     config = GPU_CONFIGS.get(gpu, {})
     framework = config.get('framework', 'vllm')
-    docker_image = config.get('docker_image', '')
 
     if framework == 'llama.cpp':
+        # hygon_k100-ai 使用 llama.cpp
         params = {
             'framework': 'llama.cpp',
-            'docker_image': docker_image,
+            'nv_framework': 'llama.cpp',
-            'nv_docker_image': docker_image,
             'api': 'completion',
             'max_tokens': 1024,
             'temperature': 0.7,
@@ -260,21 +259,21 @@ def build_config_params(gpu: str) -> str:
             'top_p': 0.9,
             'lang': 'zh',
             'max_model_len': 4096,
-            'modelFormat': 'GGUF',
             'sut_config': {
-                'values': {
                 'gpu_num': 1,
+                'values': {
                     'command': [
-                        '/bin/bash', '-ic',
+                        'llama-server', '--model', '/model', '--alias', 'llm',
-                        'llama-server --model /model --alias llm --threads 20 '
+                        '--threads', '20', '--n-gpu-layers', '999', '--prio', '3',
-                        '--n-gpu-layers 999 --prio 3 --min_p 0.01 '
+                        '--min_p', '0.01', '--ctx-size', '4096',
-                        '--ctx-size 4096 --host 0.0.0.0 --port 8000 --jinja --flash-attn off'
+                        '--host', '0.0.0.0', '--port', '8000',
+                        '--jinja', '--flash-attn', 'off',
                     ]
                 }
             },
             'ref_config': {
+                'gpu_num': 1,
                 'values': {
-                    'cpu_num': 2, 'gpu_num': 1,
                     'command': [
                         'llama-server', '--model', '/model', '--alias', 'llm',
                         '--threads', '20', '--n-gpu-layers', '999',
@@ -282,13 +281,12 @@ def build_config_params(gpu: str) -> str:
                     ]
                 }
             },
-            'model': 'llm',
         }
     else:
+        # vllm (P800, Ascend, MetaX)
         params = {
             'framework': 'vllm',
-            'docker_image': docker_image,
+            'nv_framework': 'vllm',
-            'nv_docker_image': docker_image,
             'api': 'completion',
             'max_tokens': 1024,
             'temperature': 0.7,
@@ -296,21 +294,9 @@ def build_config_params(gpu: str) -> str:
             'top_p': 0.9,
             'lang': 'zh',
             'max_model_len': 2048,
-            'modelFormat': 'HuggingFace',
             'sut_config': {
-                'values': {
                 'gpu_num': 1,
-                    'command': [
-                        '/bin/bash', '-ic',
-                        'vllm serve /model --port 8000 --served-model-name llm '
-                        '--max-model-len 2048 --dtype auto --gpu-memory-utilization 0.95 '
-                        '-tp 1 --enforce-eager --trust-remote-code'
-                    ]
-                }
-            },
-            'ref_config': {
                 'values': {
-                    'cpu_num': 2, 'gpu_num': 1,
                     'command': [
                         'vllm', 'serve', '/model', '--port', '8000',
                         '--served-model-name', 'llm', '--max-model-len', '2048',
@@ -319,9 +305,18 @@ def build_config_params(gpu: str) -> str:
                     ]
                 }
             },
-            'model': 'llm',
+            'ref_config': {
+                'gpu_num': 1,
+                'values': {
+                    'command': [
+                        'vllm', 'serve', '/model', '--port', '80',
+                        '--served-model-name', 'llm', '--max-model-len', '4096',
+                        '--enforce-eager', '--trust-remote-code', '-tp', '1',
+                    ]
                 }
-    return yaml.dump(params, default_flow_style=False, allow_unicode=True)
+            },
+        }
+    return yaml.dump(params, default_flow_style=False, allow_unicode=True, width=1000)
 
 
 def submit_model(model_url: str, gpu: str, token: str) -> tuple: