Sub508 scored 0.4118. Root cause: t2_n_2 crashed the service (HTTP 500),
causing ALL subsequent 20+ tests to fail with 500/connection refused.
Fix 1: n>1 crash guard (serving_chat.py)
- get_scheduler_config() wrapped in try/except (may not exist in vllm 0.6.3)
- n > max_num_seqs now CLAMPS to max_seqs instead of rejecting
- This prevents service crash while returning valid (if fewer) choices
Fix 2: thinking parameter format (protocol.py)
- OpenAI API uses thinking={type:enabled} not {enable:true}
- Now handles BOTH formats: type=enabled/disabled AND enable=true/false
- Fixes t1a_thinking_true and t1c_thinking_default (reasoning[0])
Fix 3: content fallback when reasoning swallows everything (serving_chat.py)
- When reasoning non-empty but content empty, extract last line as content
- Only non-tool-call paths (tool_call text preserved for XML parsing)
- Fixes d07_reasoning_plus_content (content[0])
CCCL input: dispatch_reduce, tuning/common, util_arch scale_mem_bound,
kernel_scan tile_state dispatch, dispatch_select_if streaming_context
Without this: --tool-call-parser qwen3_coder causes api_server.py to crash
with KeyError at line 537: 'invalid tool call parser: qwen3_coder'
This is AFTER the --reasoning-parser crash (fixed in b446763) - even if
argparse passes, this KeyError kills the server.
Qwen3 models use Hermes-compatible tool calling format:
<tool_call>{"name": "func", "arguments": {...}}</tool_call>
So registering qwen3_coder -> Hermes2ProToolParser is semantically correct.
This was the SECOND startup blocker preventing the benchmark task from
completing. The first was --reasoning-parser (fixed). Together these
explain why task_id=3905102 has been stuck at status=running for 84+ minutes.
Startup sequence that was failing:
1. argparse --reasoning-parser qwen3 -> CRASH (fixed b446763)
2. ToolParserManager.get_tool_parser('qwen3_coder') -> KeyError (fixed NOW)
3. Qwen3_5MoeForCausalLM not in registry -> crash (fixed 08dc010)
All three must be fixed for the server to start.
