[Bugfix] Reject negative values for max_logprobs and long_prefill_token_threshold

vllm/config/model.py

@@ -231,7 +231,7 @@ class ModelConfig:
     flexibility."""
     enable_return_routed_experts: bool = False
     """Whether to return routed experts."""
-    max_logprobs: int = 20
+    max_logprobs: int = Field(default=20, ge=-1)
     """Maximum number of log probabilities to return when `logprobs` is
     specified in `SamplingParams`. The default value comes the default for the
     OpenAI Chat Completions API. -1 means no cap, i.e. all (output_length *

vllm/config/scheduler.py

@@ -77,9 +77,9 @@ class SchedulerConfig:
     this less than max_num_partial_prefills will allow shorter prompts to jump
     the queue in front of longer prompts in some cases, improving latency."""
 
-    long_prefill_token_threshold: int = 0
+    long_prefill_token_threshold: int = Field(default=0, ge=0)
     """For chunked prefill, a request is considered long if the prompt is
-    longer than this number of tokens."""
+    longer than this number of tokens. 0 disables the cap (default)."""
 
     enable_chunked_prefill: bool = True
     """If True, prefill requests can be chunked based