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Unverified Commit 5937a56d authored by Chang Su's avatar Chang Su Committed by GitHub
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[router][grpc] Add logprobs support to router (#11082)

parent f065e5be
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Showing with 323 additions and 96 deletions
python/sglang/srt/entrypoints/grpc_request_manager.py
View file @ 5937a56d
...@@ -82,6 +82,7 @@ class GrpcReqState: ...@@ -82,6 +82,7 @@ class GrpcReqState:
# Streaming state # Streaming state
stream_finished: bool = False stream_finished: bool = False
input_logprobs_sent: bool = False # Track if input logprobs were sent in streaming
# Token accumulation (for non-streaming) # Token accumulation (for non-streaming)
output_ids: List[int] = dataclasses.field(default_factory=list) output_ids: List[int] = dataclasses.field(default_factory=list)
...@@ -516,18 +517,104 @@ class GrpcRequestManager: ...@@ -516,18 +517,104 @@ class GrpcRequestManager:
}, },
} }
# Add logprobs if available # Accumulate input logprobs (only once, usually in first chunk)
if batch_out.input_token_logprobs_val and i < len(
batch_out.input_token_logprobs_val
):
if not state.input_token_logprobs_val:
state.input_token_logprobs_val.extend(
batch_out.input_token_logprobs_val[i]
)
if batch_out.input_token_logprobs_idx and i < len(
batch_out.input_token_logprobs_idx
):
state.input_token_logprobs_idx.extend(
batch_out.input_token_logprobs_idx[i]
)
if batch_out.input_top_logprobs_val and i < len(
batch_out.input_top_logprobs_val
):
state.input_top_logprobs_val.extend(
batch_out.input_top_logprobs_val[i]
)
if batch_out.input_top_logprobs_idx and i < len(
batch_out.input_top_logprobs_idx
):
state.input_top_logprobs_idx.extend(
batch_out.input_top_logprobs_idx[i]
)
# Send input logprobs based on mode
if state.input_token_logprobs_val:
if state.obj.stream and not state.input_logprobs_sent:
# Streaming: send input logprobs once in first chunk that has them
output_data["input_logprobs"] = {
"token_logprobs_val": state.input_token_logprobs_val,
"token_logprobs_idx": state.input_token_logprobs_idx,
"top_logprobs_val": state.input_top_logprobs_val,
"top_logprobs_idx": state.input_top_logprobs_idx,
}
state.input_logprobs_sent = True
elif not state.obj.stream and output_data["finished"]:
# Non-streaming: send input logprobs in final chunk
output_data["input_logprobs"] = {
"token_logprobs_val": state.input_token_logprobs_val,
"token_logprobs_idx": state.input_token_logprobs_idx,
"top_logprobs_val": state.input_top_logprobs_val,
"top_logprobs_idx": state.input_top_logprobs_idx,
}
# Add output logprobs if available (RAW - no detokenization!)
if batch_out.output_token_logprobs_val and i < len( if batch_out.output_token_logprobs_val and i < len(
batch_out.output_token_logprobs_val batch_out.output_token_logprobs_val
): ):
output_data["logprobs"] = { # Accumulate in state first
"tokens": batch_out.output_token_logprobs_val[i], state.output_token_logprobs_val.extend(
"top_logprobs": ( batch_out.output_token_logprobs_val[i]
)
if batch_out.output_token_logprobs_idx and i < len(
batch_out.output_token_logprobs_idx
):
state.output_token_logprobs_idx.extend(
batch_out.output_token_logprobs_idx[i]
)
if batch_out.output_top_logprobs_val and i < len(
batch_out.output_top_logprobs_val
):
state.output_top_logprobs_val.extend(
batch_out.output_top_logprobs_val[i] batch_out.output_top_logprobs_val[i]
if batch_out.output_top_logprobs_val )
and i < len(batch_out.output_top_logprobs_val) if batch_out.output_top_logprobs_idx and i < len(
else None batch_out.output_top_logprobs_idx
), ):
state.output_top_logprobs_idx.extend(
batch_out.output_top_logprobs_idx[i]
)
if state.obj.stream:
# For streaming: send incremental logprobs (only new tokens in this chunk)
# NOTE: this is different than TokenizerManager, which always accumulates
def get_part(attr_name):
source_list = getattr(batch_out, attr_name, None)
return (
source_list[i]
if source_list and i < len(source_list)
else []
)
output_data["output_logprobs"] = {
"token_logprobs_val": batch_out.output_token_logprobs_val[i],
"token_logprobs_idx": get_part("output_token_logprobs_idx"),
"top_logprobs_val": get_part("output_top_logprobs_val"),
"top_logprobs_idx": get_part("output_top_logprobs_idx"),
}
elif output_data["finished"]:
# Non-streaming: send cumulative output logprobs in final chunk
output_data["output_logprobs"] = {
"token_logprobs_val": state.output_token_logprobs_val,
"token_logprobs_idx": state.output_token_logprobs_idx,
"top_logprobs_val": state.output_top_logprobs_val,
"top_logprobs_idx": state.output_top_logprobs_idx,
} }
# Update state for accumulation # Update state for accumulation
......
python/sglang/srt/entrypoints/grpc_server.py
View file @ 5937a56d
...@@ -472,11 +472,51 @@ class SGLangSchedulerServicer(sglang_scheduler_pb2_grpc.SglangSchedulerServicer) ...@@ -472,11 +472,51 @@ class SGLangSchedulerServicer(sglang_scheduler_pb2_grpc.SglangSchedulerServicer)
ignore_eos=grpc_params.ignore_eos, ignore_eos=grpc_params.ignore_eos,
) )
def _convert_logprobs_to_proto(
self, logprobs_data: Dict
) -> Optional[sglang_scheduler_pb2.LogProbs]:
"""Convert logprobs dict to proto LogProbs format (transport RAW data only)."""
if not logprobs_data:
return None
token_logprobs_val = logprobs_data.get("token_logprobs_val", [])
token_logprobs_idx = logprobs_data.get("token_logprobs_idx", [])
top_logprobs_val = logprobs_data.get("top_logprobs_val", [])
top_logprobs_idx = logprobs_data.get("top_logprobs_idx", [])
# Build TopLogProbs entries
top_logprobs_proto = []
if top_logprobs_val and top_logprobs_idx:
for val_list, idx_list in zip(top_logprobs_val, top_logprobs_idx):
top_logprobs_proto.append(
sglang_scheduler_pb2.TopLogProbs(
values=val_list,
token_ids=idx_list,
)
)
return sglang_scheduler_pb2.LogProbs(
token_logprobs=token_logprobs_val,
token_ids=token_logprobs_idx,
top_logprobs=top_logprobs_proto,
)
def _create_chunk_response( def _create_chunk_response(
self, request_id: str, output: Dict self, request_id: str, output: Dict
) -> sglang_scheduler_pb2.GenerateResponse: ) -> sglang_scheduler_pb2.GenerateResponse:
"""Create a streaming chunk response.""" """Create a streaming chunk response."""
meta_info = output.get("meta_info", {}) meta_info = output.get("meta_info", {})
# Convert output logprobs if present
output_logprobs_proto = self._convert_logprobs_to_proto(
output.get("output_logprobs")
)
# Convert input logprobs if present (only in first chunk)
input_logprobs_proto = self._convert_logprobs_to_proto(
output.get("input_logprobs")
)
return sglang_scheduler_pb2.GenerateResponse( return sglang_scheduler_pb2.GenerateResponse(
request_id=request_id, request_id=request_id,
chunk=sglang_scheduler_pb2.GenerateStreamChunk( chunk=sglang_scheduler_pb2.GenerateStreamChunk(
...@@ -484,6 +524,8 @@ class SGLangSchedulerServicer(sglang_scheduler_pb2_grpc.SglangSchedulerServicer) ...@@ -484,6 +524,8 @@ class SGLangSchedulerServicer(sglang_scheduler_pb2_grpc.SglangSchedulerServicer)
prompt_tokens=meta_info.get("prompt_tokens", 0), prompt_tokens=meta_info.get("prompt_tokens", 0),
completion_tokens=meta_info.get("completion_tokens", 0), completion_tokens=meta_info.get("completion_tokens", 0),
cached_tokens=meta_info.get("cached_tokens", 0), cached_tokens=meta_info.get("cached_tokens", 0),
output_logprobs=output_logprobs_proto,
input_logprobs=input_logprobs_proto,
), ),
) )
...@@ -519,6 +561,16 @@ class SGLangSchedulerServicer(sglang_scheduler_pb2_grpc.SglangSchedulerServicer) ...@@ -519,6 +561,16 @@ class SGLangSchedulerServicer(sglang_scheduler_pb2_grpc.SglangSchedulerServicer)
elif isinstance(matched, str): elif isinstance(matched, str):
matched_stop_kwargs["matched_stop_str"] = matched matched_stop_kwargs["matched_stop_str"] = matched
# Convert output logprobs if present
output_logprobs_proto = self._convert_logprobs_to_proto(
output.get("output_logprobs")
)
# Convert input logprobs if present
input_logprobs_proto = self._convert_logprobs_to_proto(
output.get("input_logprobs")
)
return sglang_scheduler_pb2.GenerateResponse( return sglang_scheduler_pb2.GenerateResponse(
request_id=request_id, request_id=request_id,
complete=sglang_scheduler_pb2.GenerateComplete( complete=sglang_scheduler_pb2.GenerateComplete(
...@@ -529,6 +581,8 @@ class SGLangSchedulerServicer(sglang_scheduler_pb2_grpc.SglangSchedulerServicer) ...@@ -529,6 +581,8 @@ class SGLangSchedulerServicer(sglang_scheduler_pb2_grpc.SglangSchedulerServicer)
"completion_tokens", len(output.get("token_ids", [])) "completion_tokens", len(output.get("token_ids", []))
), ),
cached_tokens=meta_info.get("cached_tokens", 0), cached_tokens=meta_info.get("cached_tokens", 0),
output_logprobs=output_logprobs_proto,
input_logprobs=input_logprobs_proto,
**matched_stop_kwargs, **matched_stop_kwargs,
), ),
) )
......
python/sglang/srt/grpc/sglang_scheduler.proto
View file @ 5937a56d
...@@ -174,11 +174,14 @@ message GenerateStreamChunk { ...@@ -174,11 +174,14 @@ message GenerateStreamChunk {
int32 completion_tokens = 3; int32 completion_tokens = 3;
int32 cached_tokens = 4; int32 cached_tokens = 4;
// Logprobs (if requested) // Output logprobs (if requested) - incremental for streaming
LogProbs logprobs = 5; LogProbs output_logprobs = 5;
// Hidden states (if requested) // Hidden states (if requested)
repeated float hidden_states = 6; repeated float hidden_states = 6;
// Input logprobs (if requested) - only in first chunk
LogProbs input_logprobs = 7;
} }
message GenerateComplete { message GenerateComplete {
...@@ -193,8 +196,8 @@ message GenerateComplete { ...@@ -193,8 +196,8 @@ message GenerateComplete {
int32 completion_tokens = 4; int32 completion_tokens = 4;
int32 cached_tokens = 5; int32 cached_tokens = 5;
// All logprobs if requested // Output logprobs if requested (cumulative)
repeated LogProbs all_logprobs = 6; LogProbs output_logprobs = 6;
// All hidden states if requested // All hidden states if requested
repeated HiddenStates all_hidden_states = 7; repeated HiddenStates all_hidden_states = 7;
...@@ -204,6 +207,9 @@ message GenerateComplete { ...@@ -204,6 +207,9 @@ message GenerateComplete {
uint32 matched_token_id = 8; uint32 matched_token_id = 8;
string matched_stop_str = 9; string matched_stop_str = 9;
} }
// Input logprobs if requested (for prompt tokens)
LogProbs input_logprobs = 10;
} }
message GenerateError { message GenerateError {
...@@ -218,15 +224,11 @@ message LogProbs { ...@@ -218,15 +224,11 @@ message LogProbs {
// Top logprobs at each position // Top logprobs at each position
repeated TopLogProbs top_logprobs = 3; repeated TopLogProbs top_logprobs = 3;
// Decoded text for tokens
repeated string token_texts = 4;
} }
message TopLogProbs { message TopLogProbs {
repeated float values = 1; repeated float values = 1;
repeated int32 token_ids = 2; repeated int32 token_ids = 2;
repeated string token_texts = 3;
} }
message HiddenStates { message HiddenStates {
......
python/sglang/srt/grpc/sglang_scheduler_pb2.py
View file @ 5937a56d
...@@ -29,7 +29,7 @@ from google.protobuf import timestamp_pb2 as google_dot_protobuf_dot_timestamp__ ...@@ -29,7 +29,7 @@ from google.protobuf import timestamp_pb2 as google_dot_protobuf_dot_timestamp__
from google.protobuf import struct_pb2 as google_dot_protobuf_dot_struct__pb2 from google.protobuf import struct_pb2 as google_dot_protobuf_dot_struct__pb2
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_globals = globals() _globals = globals()
_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals) _builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals)
...@@ -53,55 +53,55 @@ if not _descriptor._USE_C_DESCRIPTORS: ...@@ -53,55 +53,55 @@ if not _descriptor._USE_C_DESCRIPTORS:
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_globals['_GENERATESTREAMCHUNK']._serialized_end=2275 _globals['_GENERATESTREAMCHUNK']._serialized_end=2339
_globals['_GENERATECOMPLETE']._serialized_start=2278 _globals['_GENERATECOMPLETE']._serialized_start=2342
_globals['_GENERATECOMPLETE']._serialized_end=2603 _globals['_GENERATECOMPLETE']._serialized_end=2727
_globals['_GENERATEERROR']._serialized_start=2605 _globals['_GENERATEERROR']._serialized_start=2729
_globals['_GENERATEERROR']._serialized_end=2680 _globals['_GENERATEERROR']._serialized_end=2804
_globals['_LOGPROBS']._serialized_start=2683 _globals['_LOGPROBS']._serialized_start=2806
_globals['_LOGPROBS']._serialized_end=2815 _globals['_LOGPROBS']._serialized_end=2917
_globals['_TOPLOGPROBS']._serialized_start=2817 _globals['_TOPLOGPROBS']._serialized_start=2919
_globals['_TOPLOGPROBS']._serialized_end=2886 _globals['_TOPLOGPROBS']._serialized_end=2967
_globals['_HIDDENSTATES']._serialized_start=2888 _globals['_HIDDENSTATES']._serialized_start=2969
_globals['_HIDDENSTATES']._serialized_end=2951 _globals['_HIDDENSTATES']._serialized_end=3032
_globals['_EMBEDREQUEST']._serialized_start=2954 _globals['_EMBEDREQUEST']._serialized_start=3035
_globals['_EMBEDREQUEST']._serialized_end=3284 _globals['_EMBEDREQUEST']._serialized_end=3365
_globals['_EMBEDRESPONSE']._serialized_start=3287 _globals['_EMBEDRESPONSE']._serialized_start=3368
_globals['_EMBEDRESPONSE']._serialized_end=3444 _globals['_EMBEDRESPONSE']._serialized_end=3525
_globals['_EMBEDCOMPLETE']._serialized_start=3447 _globals['_EMBEDCOMPLETE']._serialized_start=3528
_globals['_EMBEDCOMPLETE']._serialized_end=3610 _globals['_EMBEDCOMPLETE']._serialized_end=3691
_globals['_EMBEDDING']._serialized_start=3612 _globals['_EMBEDDING']._serialized_start=3693
_globals['_EMBEDDING']._serialized_end=3654 _globals['_EMBEDDING']._serialized_end=3735
_globals['_EMBEDERROR']._serialized_start=3656 _globals['_EMBEDERROR']._serialized_start=3737
_globals['_EMBEDERROR']._serialized_end=3716 _globals['_EMBEDERROR']._serialized_end=3797
_globals['_HEALTHCHECKREQUEST']._serialized_start=3718 _globals['_HEALTHCHECKREQUEST']._serialized_start=3799
_globals['_HEALTHCHECKREQUEST']._serialized_end=3796 _globals['_HEALTHCHECKREQUEST']._serialized_end=3877
_globals['_HEALTHCHECKRESPONSE']._serialized_start=3798 _globals['_HEALTHCHECKRESPONSE']._serialized_start=3879
_globals['_HEALTHCHECKRESPONSE']._serialized_end=3853 _globals['_HEALTHCHECKRESPONSE']._serialized_end=3934
_globals['_ABORTREQUEST']._serialized_start=3855 _globals['_ABORTREQUEST']._serialized_start=3936
_globals['_ABORTREQUEST']._serialized_end=3905 _globals['_ABORTREQUEST']._serialized_end=3986
_globals['_ABORTRESPONSE']._serialized_start=3907 _globals['_ABORTRESPONSE']._serialized_start=3988
_globals['_ABORTRESPONSE']._serialized_end=3956 _globals['_ABORTRESPONSE']._serialized_end=4037
_globals['_LOADLORAREQUEST']._serialized_start=3958 _globals['_LOADLORAREQUEST']._serialized_start=4039
_globals['_LOADLORAREQUEST']._serialized_end=4031 _globals['_LOADLORAREQUEST']._serialized_end=4112
_globals['_LOADLORARESPONSE']._serialized_start=4033 _globals['_LOADLORARESPONSE']._serialized_start=4114
_globals['_LOADLORARESPONSE']._serialized_end=4105 _globals['_LOADLORARESPONSE']._serialized_end=4186
_globals['_UNLOADLORAREQUEST']._serialized_start=4107 _globals['_UNLOADLORAREQUEST']._serialized_start=4188
_globals['_UNLOADLORAREQUEST']._serialized_end=4146 _globals['_UNLOADLORAREQUEST']._serialized_end=4227
_globals['_UNLOADLORARESPONSE']._serialized_start=4148 _globals['_UNLOADLORARESPONSE']._serialized_start=4229
_globals['_UNLOADLORARESPONSE']._serialized_end=4202 _globals['_UNLOADLORARESPONSE']._serialized_end=4283
_globals['_UPDATEWEIGHTSREQUEST']._serialized_start=4204 _globals['_UPDATEWEIGHTSREQUEST']._serialized_start=4285
_globals['_UPDATEWEIGHTSREQUEST']._serialized_end=4323 _globals['_UPDATEWEIGHTSREQUEST']._serialized_end=4404
_globals['_UPDATEWEIGHTSRESPONSE']._serialized_start=4325 _globals['_UPDATEWEIGHTSRESPONSE']._serialized_start=4406
_globals['_UPDATEWEIGHTSRESPONSE']._serialized_end=4382 _globals['_UPDATEWEIGHTSRESPONSE']._serialized_end=4463
_globals['_GETINTERNALSTATEREQUEST']._serialized_start=4384 _globals['_GETINTERNALSTATEREQUEST']._serialized_start=4465
_globals['_GETINTERNALSTATEREQUEST']._serialized_end=4429 _globals['_GETINTERNALSTATEREQUEST']._serialized_end=4510
_globals['_GETINTERNALSTATERESPONSE']._serialized_start=4431 _globals['_GETINTERNALSTATERESPONSE']._serialized_start=4512
_globals['_GETINTERNALSTATERESPONSE']._serialized_end=4497 _globals['_GETINTERNALSTATERESPONSE']._serialized_end=4578
_globals['_SETINTERNALSTATEREQUEST']._serialized_start=4499 _globals['_SETINTERNALSTATEREQUEST']._serialized_start=4580
_globals['_SETINTERNALSTATEREQUEST']._serialized_end=4564 _globals['_SETINTERNALSTATEREQUEST']._serialized_end=4645
_globals['_SETINTERNALSTATERESPONSE']._serialized_start=4566 _globals['_SETINTERNALSTATERESPONSE']._serialized_start=4647
_globals['_SETINTERNALSTATERESPONSE']._serialized_end=4626 _globals['_SETINTERNALSTATERESPONSE']._serialized_end=4707
_globals['_SGLANGSCHEDULER']._serialized_start=4629 _globals['_SGLANGSCHEDULER']._serialized_start=4710
_globals['_SGLANGSCHEDULER']._serialized_end=5011 _globals['_SGLANGSCHEDULER']._serialized_end=5092
# @@protoc_insertion_point(module_scope) # @@protoc_insertion_point(module_scope)
python/sglang/srt/grpc/sglang_scheduler_pb2.pyi
View file @ 5937a56d
...@@ -162,42 +162,46 @@ class GenerateResponse(_message.Message): ...@@ -162,42 +162,46 @@ class GenerateResponse(_message.Message):
def __init__(self, request_id: _Optional[str] = ..., chunk: _Optional[_Union[GenerateStreamChunk, _Mapping]] = ..., complete: _Optional[_Union[GenerateComplete, _Mapping]] = ..., error: _Optional[_Union[GenerateError, _Mapping]] = ...) -> None: ... def __init__(self, request_id: _Optional[str] = ..., chunk: _Optional[_Union[GenerateStreamChunk, _Mapping]] = ..., complete: _Optional[_Union[GenerateComplete, _Mapping]] = ..., error: _Optional[_Union[GenerateError, _Mapping]] = ...) -> None: ...
class GenerateStreamChunk(_message.Message): class GenerateStreamChunk(_message.Message):
__slots__ = ("token_ids", "prompt_tokens", "completion_tokens", "cached_tokens", "logprobs", "hidden_states") __slots__ = ("token_ids", "prompt_tokens", "completion_tokens", "cached_tokens", "output_logprobs", "hidden_states", "input_logprobs")
TOKEN_IDS_FIELD_NUMBER: _ClassVar[int] TOKEN_IDS_FIELD_NUMBER: _ClassVar[int]
PROMPT_TOKENS_FIELD_NUMBER: _ClassVar[int] PROMPT_TOKENS_FIELD_NUMBER: _ClassVar[int]
COMPLETION_TOKENS_FIELD_NUMBER: _ClassVar[int] COMPLETION_TOKENS_FIELD_NUMBER: _ClassVar[int]
CACHED_TOKENS_FIELD_NUMBER: _ClassVar[int] CACHED_TOKENS_FIELD_NUMBER: _ClassVar[int]
LOGPROBS_FIELD_NUMBER: _ClassVar[int] OUTPUT_LOGPROBS_FIELD_NUMBER: _ClassVar[int]
HIDDEN_STATES_FIELD_NUMBER: _ClassVar[int] HIDDEN_STATES_FIELD_NUMBER: _ClassVar[int]
INPUT_LOGPROBS_FIELD_NUMBER: _ClassVar[int]
token_ids: _containers.RepeatedScalarFieldContainer[int] token_ids: _containers.RepeatedScalarFieldContainer[int]
prompt_tokens: int prompt_tokens: int
completion_tokens: int completion_tokens: int
cached_tokens: int cached_tokens: int
logprobs: LogProbs output_logprobs: LogProbs
hidden_states: _containers.RepeatedScalarFieldContainer[float] hidden_states: _containers.RepeatedScalarFieldContainer[float]
def __init__(self, token_ids: _Optional[_Iterable[int]] = ..., prompt_tokens: _Optional[int] = ..., completion_tokens: _Optional[int] = ..., cached_tokens: _Optional[int] = ..., logprobs: _Optional[_Union[LogProbs, _Mapping]] = ..., hidden_states: _Optional[_Iterable[float]] = ...) -> None: ... input_logprobs: LogProbs
def __init__(self, token_ids: _Optional[_Iterable[int]] = ..., prompt_tokens: _Optional[int] = ..., completion_tokens: _Optional[int] = ..., cached_tokens: _Optional[int] = ..., output_logprobs: _Optional[_Union[LogProbs, _Mapping]] = ..., hidden_states: _Optional[_Iterable[float]] = ..., input_logprobs: _Optional[_Union[LogProbs, _Mapping]] = ...) -> None: ...
class GenerateComplete(_message.Message): class GenerateComplete(_message.Message):
__slots__ = ("output_ids", "finish_reason", "prompt_tokens", "completion_tokens", "cached_tokens", "all_logprobs", "all_hidden_states", "matched_token_id", "matched_stop_str") __slots__ = ("output_ids", "finish_reason", "prompt_tokens", "completion_tokens", "cached_tokens", "output_logprobs", "all_hidden_states", "matched_token_id", "matched_stop_str", "input_logprobs")
OUTPUT_IDS_FIELD_NUMBER: _ClassVar[int] OUTPUT_IDS_FIELD_NUMBER: _ClassVar[int]
FINISH_REASON_FIELD_NUMBER: _ClassVar[int] FINISH_REASON_FIELD_NUMBER: _ClassVar[int]
PROMPT_TOKENS_FIELD_NUMBER: _ClassVar[int] PROMPT_TOKENS_FIELD_NUMBER: _ClassVar[int]
COMPLETION_TOKENS_FIELD_NUMBER: _ClassVar[int] COMPLETION_TOKENS_FIELD_NUMBER: _ClassVar[int]
CACHED_TOKENS_FIELD_NUMBER: _ClassVar[int] CACHED_TOKENS_FIELD_NUMBER: _ClassVar[int]
ALL_LOGPROBS_FIELD_NUMBER: _ClassVar[int] OUTPUT_LOGPROBS_FIELD_NUMBER: _ClassVar[int]
ALL_HIDDEN_STATES_FIELD_NUMBER: _ClassVar[int] ALL_HIDDEN_STATES_FIELD_NUMBER: _ClassVar[int]
MATCHED_TOKEN_ID_FIELD_NUMBER: _ClassVar[int] MATCHED_TOKEN_ID_FIELD_NUMBER: _ClassVar[int]
MATCHED_STOP_STR_FIELD_NUMBER: _ClassVar[int] MATCHED_STOP_STR_FIELD_NUMBER: _ClassVar[int]
INPUT_LOGPROBS_FIELD_NUMBER: _ClassVar[int]
output_ids: _containers.RepeatedScalarFieldContainer[int] output_ids: _containers.RepeatedScalarFieldContainer[int]
finish_reason: str finish_reason: str
prompt_tokens: int prompt_tokens: int
completion_tokens: int completion_tokens: int
cached_tokens: int cached_tokens: int
all_logprobs: _containers.RepeatedCompositeFieldContainer[LogProbs] output_logprobs: LogProbs
all_hidden_states: _containers.RepeatedCompositeFieldContainer[HiddenStates] all_hidden_states: _containers.RepeatedCompositeFieldContainer[HiddenStates]
matched_token_id: int matched_token_id: int
matched_stop_str: str matched_stop_str: str
def __init__(self, output_ids: _Optional[_Iterable[int]] = ..., finish_reason: _Optional[str] = ..., prompt_tokens: _Optional[int] = ..., completion_tokens: _Optional[int] = ..., cached_tokens: _Optional[int] = ..., all_logprobs: _Optional[_Iterable[_Union[LogProbs, _Mapping]]] = ..., all_hidden_states: _Optional[_Iterable[_Union[HiddenStates, _Mapping]]] = ..., matched_token_id: _Optional[int] = ..., matched_stop_str: _Optional[str] = ...) -> None: ... input_logprobs: LogProbs
def __init__(self, output_ids: _Optional[_Iterable[int]] = ..., finish_reason: _Optional[str] = ..., prompt_tokens: _Optional[int] = ..., completion_tokens: _Optional[int] = ..., cached_tokens: _Optional[int] = ..., output_logprobs: _Optional[_Union[LogProbs, _Mapping]] = ..., all_hidden_states: _Optional[_Iterable[_Union[HiddenStates, _Mapping]]] = ..., matched_token_id: _Optional[int] = ..., matched_stop_str: _Optional[str] = ..., input_logprobs: _Optional[_Union[LogProbs, _Mapping]] = ...) -> None: ...
class GenerateError(_message.Message): class GenerateError(_message.Message):
__slots__ = ("message", "http_status_code", "details") __slots__ = ("message", "http_status_code", "details")
...@@ -210,26 +214,22 @@ class GenerateError(_message.Message): ...@@ -210,26 +214,22 @@ class GenerateError(_message.Message):
def __init__(self, message: _Optional[str] = ..., http_status_code: _Optional[str] = ..., details: _Optional[str] = ...) -> None: ... def __init__(self, message: _Optional[str] = ..., http_status_code: _Optional[str] = ..., details: _Optional[str] = ...) -> None: ...
class LogProbs(_message.Message): class LogProbs(_message.Message):
__slots__ = ("token_logprobs", "token_ids", "top_logprobs", "token_texts") __slots__ = ("token_logprobs", "token_ids", "top_logprobs")
TOKEN_LOGPROBS_FIELD_NUMBER: _ClassVar[int] TOKEN_LOGPROBS_FIELD_NUMBER: _ClassVar[int]
TOKEN_IDS_FIELD_NUMBER: _ClassVar[int] TOKEN_IDS_FIELD_NUMBER: _ClassVar[int]
TOP_LOGPROBS_FIELD_NUMBER: _ClassVar[int] TOP_LOGPROBS_FIELD_NUMBER: _ClassVar[int]
TOKEN_TEXTS_FIELD_NUMBER: _ClassVar[int]
token_logprobs: _containers.RepeatedScalarFieldContainer[float] token_logprobs: _containers.RepeatedScalarFieldContainer[float]
token_ids: _containers.RepeatedScalarFieldContainer[int] token_ids: _containers.RepeatedScalarFieldContainer[int]
top_logprobs: _containers.RepeatedCompositeFieldContainer[TopLogProbs] top_logprobs: _containers.RepeatedCompositeFieldContainer[TopLogProbs]
token_texts: _containers.RepeatedScalarFieldContainer[str] def __init__(self, token_logprobs: _Optional[_Iterable[float]] = ..., token_ids: _Optional[_Iterable[int]] = ..., top_logprobs: _Optional[_Iterable[_Union[TopLogProbs, _Mapping]]] = ...) -> None: ...
def __init__(self, token_logprobs: _Optional[_Iterable[float]] = ..., token_ids: _Optional[_Iterable[int]] = ..., top_logprobs: _Optional[_Iterable[_Union[TopLogProbs, _Mapping]]] = ..., token_texts: _Optional[_Iterable[str]] = ...) -> None: ...
class TopLogProbs(_message.Message): class TopLogProbs(_message.Message):
__slots__ = ("values", "token_ids", "token_texts") __slots__ = ("values", "token_ids")
VALUES_FIELD_NUMBER: _ClassVar[int] VALUES_FIELD_NUMBER: _ClassVar[int]
TOKEN_IDS_FIELD_NUMBER: _ClassVar[int] TOKEN_IDS_FIELD_NUMBER: _ClassVar[int]
TOKEN_TEXTS_FIELD_NUMBER: _ClassVar[int]
values: _containers.RepeatedScalarFieldContainer[float] values: _containers.RepeatedScalarFieldContainer[float]
token_ids: _containers.RepeatedScalarFieldContainer[int] token_ids: _containers.RepeatedScalarFieldContainer[int]
token_texts: _containers.RepeatedScalarFieldContainer[str] def __init__(self, values: _Optional[_Iterable[float]] = ..., token_ids: _Optional[_Iterable[int]] = ...) -> None: ...
def __init__(self, values: _Optional[_Iterable[float]] = ..., token_ids: _Optional[_Iterable[int]] = ..., token_texts: _Optional[_Iterable[str]] = ...) -> None: ...
class HiddenStates(_message.Message): class HiddenStates(_message.Message):
__slots__ = ("values", "layer", "position") __slots__ = ("values", "layer", "position")
......
sgl-router/src/proto/sglang_scheduler.proto
View file @ 5937a56d
...@@ -174,11 +174,14 @@ message GenerateStreamChunk { ...@@ -174,11 +174,14 @@ message GenerateStreamChunk {
int32 completion_tokens = 3; int32 completion_tokens = 3;
int32 cached_tokens = 4; int32 cached_tokens = 4;
// Logprobs (if requested) // Output logprobs (if requested) - incremental for streaming
LogProbs logprobs = 5; LogProbs output_logprobs = 5;
// Hidden states (if requested) // Hidden states (if requested)
repeated float hidden_states = 6; repeated float hidden_states = 6;
// Input logprobs (if requested) - only in first chunk
LogProbs input_logprobs = 7;
} }
message GenerateComplete { message GenerateComplete {
...@@ -193,8 +196,8 @@ message GenerateComplete { ...@@ -193,8 +196,8 @@ message GenerateComplete {
int32 completion_tokens = 4; int32 completion_tokens = 4;
int32 cached_tokens = 5; int32 cached_tokens = 5;
// All logprobs if requested // Output logprobs if requested (cumulative)
repeated LogProbs all_logprobs = 6; LogProbs output_logprobs = 6;
// All hidden states if requested // All hidden states if requested
repeated HiddenStates all_hidden_states = 7; repeated HiddenStates all_hidden_states = 7;
...@@ -204,6 +207,9 @@ message GenerateComplete { ...@@ -204,6 +207,9 @@ message GenerateComplete {
uint32 matched_token_id = 8; uint32 matched_token_id = 8;
string matched_stop_str = 9; string matched_stop_str = 9;
} }
// Input logprobs if requested (for prompt tokens)
LogProbs input_logprobs = 10;
} }
message GenerateError { message GenerateError {
...@@ -218,15 +224,11 @@ message LogProbs { ...@@ -218,15 +224,11 @@ message LogProbs {
// Top logprobs at each position // Top logprobs at each position
repeated TopLogProbs top_logprobs = 3; repeated TopLogProbs top_logprobs = 3;
// Decoded text for tokens
repeated string token_texts = 4;
} }
message TopLogProbs { message TopLogProbs {
repeated float values = 1; repeated float values = 1;
repeated int32 token_ids = 2; repeated int32 token_ids = 2;
repeated string token_texts = 3;
} }
message HiddenStates { message HiddenStates {
......
sgl-router/src/routers/grpc/router.rs
View file @ 5937a56d
...@@ -730,6 +730,73 @@ impl GrpcRouter { ...@@ -730,6 +730,73 @@ impl GrpcRouter {
Json(response).into_response() Json(response).into_response()
} }
/// Convert proto LogProbs to OpenAI ChatLogProbs format
/// Note: Always decodes with skip_special_tokens=false to show actual tokens generated
fn convert_proto_to_openai_logprobs(
&self,
proto_logprobs: &proto::LogProbs,
) -> Result<crate::protocols::spec::ChatLogProbs, String> {
let mut content_items = Vec::new();
// Decode token IDs to text (always with skip_special_tokens=false for logprobs)
let token_texts: Vec<String> = proto_logprobs
.token_ids
.iter()
.map(|&token_id| {
self.tokenizer
.decode(&[token_id as u32], false)
.unwrap_or_else(|_| format!("<token_{}>", token_id))
})
.collect();
// Build ChatLogProbsContent for each token
for (i, &logprob) in proto_logprobs.token_logprobs.iter().enumerate() {
let token_text = token_texts.get(i).cloned().unwrap_or_default();
let bytes = Some(token_text.as_bytes().to_vec());
// Build top_logprobs for this position
let mut top_logprobs = Vec::new();
if let Some(top_logprobs_entry) = proto_logprobs.top_logprobs.get(i) {
// Decode top token IDs (always with skip_special_tokens=false)
let top_token_texts: Vec<String> = top_logprobs_entry
.token_ids
.iter()
.map(|&tid| {
self.tokenizer
.decode(&[tid as u32], false)
.unwrap_or_else(|_| format!("<token_{}>", tid))
})
.collect();
for (j, (&top_logprob, &_top_token_id)) in top_logprobs_entry
.values
.iter()
.zip(top_logprobs_entry.token_ids.iter())
.enumerate()
{
if let Some(top_token_text) = top_token_texts.get(j) {
top_logprobs.push(crate::protocols::spec::TopLogProb {
token: top_token_text.clone(),
logprob: top_logprob,
bytes: Some(top_token_text.as_bytes().to_vec()),
});
}
}
}
content_items.push(crate::protocols::spec::ChatLogProbsContent {
token: token_text,
logprob,
bytes,
top_logprobs,
});
}
Ok(crate::protocols::spec::ChatLogProbs::Detailed {
content: (!content_items.is_empty()).then_some(content_items),
})
}
/// Process a single GenerateComplete response into a ChatChoice /// Process a single GenerateComplete response into a ChatChoice
async fn process_single_choice( async fn process_single_choice(
&self, &self,
...@@ -855,7 +922,22 @@ impl GrpcRouter { ...@@ -855,7 +922,22 @@ impl GrpcRouter {
None => None, None => None,
}; };
// Step 4: Build ChatCompletionMessage (proper response message type) // Step 4: Convert output logprobs if present
// Note: complete.input_logprobs exists in proto but is not used for chat completions
// (input logprobs are only used in /v1/completions endpoint with echo=true)
let logprobs = if let Some(proto_logprobs) = &complete.output_logprobs {
match self.convert_proto_to_openai_logprobs(proto_logprobs) {
Ok(logprobs) => Some(logprobs),
Err(e) => {
error!("Failed to convert logprobs: {}", e);
None
}
}
} else {
None
};
// Step 5: Build ChatCompletionMessage (proper response message type)
let chat_message = ChatCompletionMessage { let chat_message = ChatCompletionMessage {
role: "assistant".to_string(), role: "assistant".to_string(),
content: if processed_text.is_empty() { content: if processed_text.is_empty() {
...@@ -867,11 +949,11 @@ impl GrpcRouter { ...@@ -867,11 +949,11 @@ impl GrpcRouter {
reasoning_content: reasoning_text, reasoning_content: reasoning_text,
}; };
// Step 5: Build ChatChoice // Step 6: Build ChatChoice
let choice = ChatChoice { let choice = ChatChoice {
index: index as u32, index: index as u32,
message: chat_message, message: chat_message,
logprobs: None, logprobs,
finish_reason: Some(final_finish_reason_str.to_string()), finish_reason: Some(final_finish_reason_str.to_string()),
matched_stop, matched_stop,
hidden_states: None, hidden_states: None,
......
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