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chore: import upstream snapshot with attribution
2026-07-13 12:38:16 +08:00

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# Copyright 2023-2024 SGLang Team
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Completion templates."""
import dataclasses
import logging
from enum import Enum, auto
from typing import Optional
from sglang.srt.entrypoints.openai.protocol import CompletionRequest
logger = logging.getLogger(__name__)
completion_template_name: Optional[str] = None
class FimPosition(Enum):
"""Position of fim middle token."""
MIDDLE = auto()
END = auto()
@dataclasses.dataclass
class CompletionTemplate:
"""A class that manages completion prompt templates. only for code completion currently."""
# The name of this template
name: str
# the fim begin token
fim_begin_token: str
# The fim middle token
fim_middle_token: str
# The fim end token
fim_end_token: str
# The position of the fim middle token
fim_position: FimPosition
# A global registry for all completion templates
completion_templates: dict[str, CompletionTemplate] = {}
def register_completion_template(template: CompletionTemplate, override: bool = False):
"""Register a new completion template."""
if not override:
assert (
template.name not in completion_templates
), f"{template.name} has been registered."
completion_templates[template.name] = template
def completion_template_exists(template_name: str) -> bool:
return template_name in completion_templates
def set_completion_template(template_name: str) -> None:
global completion_template_name
if completion_template_name is None:
completion_template_name = template_name
def is_completion_template_defined() -> bool:
global completion_template_name
return completion_template_name is not None
def generate_completion_prompt_from_request(request: CompletionRequest) -> str:
global completion_template_name
if request.suffix == "":
return request.prompt
return generate_completion_prompt(
request.prompt, request.suffix, completion_template_name
)
def generate_completion_prompt(prompt: str, suffix: str, template_name: str) -> str:
completion_template = completion_templates[template_name]
fim_begin_token = completion_template.fim_begin_token
fim_middle_token = completion_template.fim_middle_token
fim_end_token = completion_template.fim_end_token
fim_position = completion_template.fim_position
if fim_position == FimPosition.MIDDLE:
prompt = f"{fim_begin_token}{prompt}{fim_middle_token}{suffix}{fim_end_token}"
elif fim_position == FimPosition.END:
prompt = f"{fim_begin_token}{prompt}{fim_end_token}{suffix}{fim_middle_token}"
return prompt
register_completion_template(
CompletionTemplate(
name="deepseek_coder",
fim_begin_token="<fim▁begin>",
fim_middle_token="<fim▁hole>",
fim_end_token="<fim▁end>",
fim_position=FimPosition.MIDDLE,
)
)
register_completion_template(
CompletionTemplate(
name="star_coder",
fim_begin_token="<fim_prefix>",
fim_middle_token="<fim_middle>",
fim_end_token="<fim_suffix>",
fim_position=FimPosition.END,
)
)
register_completion_template(
CompletionTemplate(
name="qwen_coder",
fim_begin_token="<|fim_prefix|>",
fim_middle_token="<|fim_middle|>",
fim_end_token="<|fim_suffix|>",
fim_position=FimPosition.END,
)
)