[router][grpc] Fix proto3 default value mismatches and cleanup unused fields (#11283)

python/sglang/srt/grpc/sglang_scheduler.proto

@@ -27,6 +27,11 @@ service SglangScheduler {
 // =====================
 
 // Sampling parameters matching SGLang's SamplingParams
+//
+// IMPORTANT: Do not use SamplingParams::default() directly!
+// The proto3 defaults (0 for numeric fields) do NOT match the semantic defaults
+// (temperature=1.0, top_p=1.0, top_k=-1, etc.). Always construct with explicit values
+// or use the conversion functions in sglang_scheduler.rs / grpc_server.py.
 message SamplingParams {
   float temperature = 1;
   float top_p = 2;
@@ -50,24 +55,18 @@ message SamplingParams {
     string structural_tag = 16;
   }
 
-  // LoRA adapter
-  string lora_path = 17;
-
   // Speculative decoding
-  int32 n = 18;  // Number of samples
-
-  // Token healing
-  bool token_healing = 19;
+  int32 n = 17;  // Number of samples
 
   // Additional parameters
-  int32 min_new_tokens = 20;
-  bool ignore_eos = 21;
-  bool no_stop_trim = 22;
-  int32 stream_interval = 23;
-  map<string, float> logit_bias = 24;
+  int32 min_new_tokens = 18;
+  bool ignore_eos = 19;
+  bool no_stop_trim = 20;
+  optional int32 stream_interval = 21;
+  map<string, float> logit_bias = 22;
 
   // Custom parameters for extensibility
-  google.protobuf.Struct custom_params = 25;
+  google.protobuf.Struct custom_params = 23;
 }
 
 

python/sglang/srt/grpc/sglang_scheduler_pb2.pyi

@@ -11,7 +11,7 @@ from typing import ClassVar as _ClassVar, Optional as _Optional, Union as _Union
 DESCRIPTOR: _descriptor.FileDescriptor
 
 class SamplingParams(_message.Message):
-    __slots__ = ("temperature", "top_p", "top_k", "min_p", "frequency_penalty", "presence_penalty", "repetition_penalty", "max_new_tokens", "stop", "stop_token_ids", "skip_special_tokens", "spaces_between_special_tokens", "regex", "json_schema", "ebnf_grammar", "structural_tag", "lora_path", "n", "token_healing", "min_new_tokens", "ignore_eos", "no_stop_trim", "stream_interval", "logit_bias", "custom_params")
+    __slots__ = ("temperature", "top_p", "top_k", "min_p", "frequency_penalty", "presence_penalty", "repetition_penalty", "max_new_tokens", "stop", "stop_token_ids", "skip_special_tokens", "spaces_between_special_tokens", "regex", "json_schema", "ebnf_grammar", "structural_tag", "n", "min_new_tokens", "ignore_eos", "no_stop_trim", "stream_interval", "logit_bias", "custom_params")
     class LogitBiasEntry(_message.Message):
         __slots__ = ("key", "value")
         KEY_FIELD_NUMBER: _ClassVar[int]
@@ -35,9 +35,7 @@ class SamplingParams(_message.Message):
     JSON_SCHEMA_FIELD_NUMBER: _ClassVar[int]
     EBNF_GRAMMAR_FIELD_NUMBER: _ClassVar[int]
     STRUCTURAL_TAG_FIELD_NUMBER: _ClassVar[int]
-    LORA_PATH_FIELD_NUMBER: _ClassVar[int]
     N_FIELD_NUMBER: _ClassVar[int]
-    TOKEN_HEALING_FIELD_NUMBER: _ClassVar[int]
     MIN_NEW_TOKENS_FIELD_NUMBER: _ClassVar[int]
     IGNORE_EOS_FIELD_NUMBER: _ClassVar[int]
     NO_STOP_TRIM_FIELD_NUMBER: _ClassVar[int]
@@ -60,16 +58,14 @@ class SamplingParams(_message.Message):
     json_schema: str
     ebnf_grammar: str
     structural_tag: str
-    lora_path: str
     n: int
-    token_healing: bool
     min_new_tokens: int
     ignore_eos: bool
     no_stop_trim: bool
     stream_interval: int
     logit_bias: _containers.ScalarMap[str, float]
     custom_params: _struct_pb2.Struct
-    def __init__(self, temperature: _Optional[float] = ..., top_p: _Optional[float] = ..., top_k: _Optional[int] = ..., min_p: _Optional[float] = ..., frequency_penalty: _Optional[float] = ..., presence_penalty: _Optional[float] = ..., repetition_penalty: _Optional[float] = ..., max_new_tokens: _Optional[int] = ..., stop: _Optional[_Iterable[str]] = ..., stop_token_ids: _Optional[_Iterable[int]] = ..., skip_special_tokens: bool = ..., spaces_between_special_tokens: bool = ..., regex: _Optional[str] = ..., json_schema: _Optional[str] = ..., ebnf_grammar: _Optional[str] = ..., structural_tag: _Optional[str] = ..., lora_path: _Optional[str] = ..., n: _Optional[int] = ..., token_healing: bool = ..., min_new_tokens: _Optional[int] = ..., ignore_eos: bool = ..., no_stop_trim: bool = ..., stream_interval: _Optional[int] = ..., logit_bias: _Optional[_Mapping[str, float]] = ..., custom_params: _Optional[_Union[_struct_pb2.Struct, _Mapping]] = ...) -> None: ...
+    def __init__(self, temperature: _Optional[float] = ..., top_p: _Optional[float] = ..., top_k: _Optional[int] = ..., min_p: _Optional[float] = ..., frequency_penalty: _Optional[float] = ..., presence_penalty: _Optional[float] = ..., repetition_penalty: _Optional[float] = ..., max_new_tokens: _Optional[int] = ..., stop: _Optional[_Iterable[str]] = ..., stop_token_ids: _Optional[_Iterable[int]] = ..., skip_special_tokens: bool = ..., spaces_between_special_tokens: bool = ..., regex: _Optional[str] = ..., json_schema: _Optional[str] = ..., ebnf_grammar: _Optional[str] = ..., structural_tag: _Optional[str] = ..., n: _Optional[int] = ..., min_new_tokens: _Optional[int] = ..., ignore_eos: bool = ..., no_stop_trim: bool = ..., stream_interval: _Optional[int] = ..., logit_bias: _Optional[_Mapping[str, float]] = ..., custom_params: _Optional[_Union[_struct_pb2.Struct, _Mapping]] = ...) -> None: ...
 
 class DisaggregatedParams(_message.Message):
     __slots__ = ("bootstrap_host", "bootstrap_port", "bootstrap_room")