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sglang/python/sglang/srt/function_call/deepseekv3_detector.py

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import json
import logging
import re
from typing import List
from sglang.srt.entrypoints.openai.protocol import Tool
from sglang.srt.function_call.base_format_detector import BaseFormatDetector
from sglang.srt.function_call.core_types import (
StreamingParseResult,
StructureInfo,
ToolCallItem,
_GetInfoFunc,
)
from sglang.srt.function_call.ebnf_composer import EBNFComposer
from sglang.srt.function_call.utils import _is_complete_json
logger = logging.getLogger(__name__)
class DeepSeekV3Detector(BaseFormatDetector):
"""
Detector for DeepSeek V3 model function call format.
The DeepSeek V3 format uses special Unicode tokens to delimit function calls
with JSON code blocks for arguments.
Format Structure:
```
<tool▁calls▁begin><tool▁call▁begin>function<tool▁sep>{function_name}\n```json\n{json_arguments}\n```<tool▁calls▁end><end▁of▁sentence>
```
Examples:
```
<tool▁calls▁begin><tool▁call▁begin>function<tool▁sep>get_current_weather\n```json\n{"location": "Tokyo"}\n```<tool▁call▁end>\n<tool▁call▁begin>function<tool▁sep>get_current_weather\n```json\n{"location": "Paris"}\n```<tool▁call▁end><tool▁calls▁end><end▁of▁sentence>
```
Key Components:
- Tool Calls Section: Wrapped between `<tool▁calls▁begin>` and `<tool▁calls▁end>`
- Individual Tool Call: Wrapped between `<tool▁call▁begin>` and `<tool▁call▁end>`
- Function Declaration: `function<tool▁sep>{function_name}`
- Arguments: JSON code block between ````json` and ````
- Supports multiple tool calls
Reference: https://huggingface.co/deepseek-ai/DeepSeek-V3-0324?chat_template=default
"""
def __init__(self):
super().__init__()
self.bot_token = "<tool▁calls▁begin>"
self.eot_token = "<tool▁calls▁end>"
self.func_call_regex = r"<tool▁call▁begin>.*?<tool▁call▁end>"
self.func_detail_regex = r"<tool▁call▁begin>(.*)<tool▁sep>(.*)\n```json\n(.*)\n```<tool▁call▁end>"
self._last_arguments = ""
self.current_tool_id = -1
def has_tool_call(self, text: str) -> bool:
"""Check if the text contains a deepseek format tool call."""
return self.bot_token in text
def detect_and_parse(self, text: str, tools: List[Tool]) -> StreamingParseResult:
"""
One-time parsing: Detects and parses tool calls in the provided text.
:param text: The complete text to parse.
:param tools: List of available tools.
:return: ParseResult indicating success or failure, consumed text, leftover text, and parsed calls.
"""
idx = text.find(self.bot_token)
normal_text = text[:idx].strip() if idx != -1 else text
if self.bot_token not in text:
return StreamingParseResult(normal_text=normal_text, calls=[])
match_result_list = re.findall(self.func_call_regex, text, re.DOTALL)
calls = []
try:
for match_result in match_result_list:
# Get function name
func_detail = re.search(self.func_detail_regex, match_result, re.DOTALL)
func_name = func_detail.group(2)
func_args = func_detail.group(3)
func_args = json.loads(func_args)
# construct match_result for parse_base_json
match_result = {"name": func_name, "parameters": func_args}
calls.extend(self.parse_base_json(match_result, tools))
return StreamingParseResult(normal_text=normal_text, calls=calls)
except Exception as e:
logger.error(f"Error in detect_and_parse: {e}")
# return the normal text if parsing fails
return StreamingParseResult(normal_text=text)
def parse_streaming_increment(
self, new_text: str, tools: List[Tool]
) -> StreamingParseResult:
"""
Streaming incremental parsing tool calls for DeepSeekV3 format.
"""
self._buffer += new_text
current_text = self._buffer
# Check if we have a tool call (either the start token or individual tool call)
has_tool_call = (
self.bot_token in current_text or "<tool▁call▁begin>" in current_text
)
if not has_tool_call:
self._buffer = ""
for e_token in [self.eot_token, "```", "<tool▁call▁end>"]:
if e_token in new_text:
new_text = new_text.replace(e_token, "")
return StreamingParseResult(normal_text=new_text)
if not hasattr(self, "_tool_indices"):
self._tool_indices = self._get_tool_indices(tools)
calls: list[ToolCallItem] = []
try:
partial_match = re.search(
pattern=r"<tool▁call▁begin>(.*)<tool▁sep>(.*)\n```json\n(.*)\n```.*",
string=current_text,
flags=re.DOTALL,
)
if partial_match:
func_name = partial_match.group(2).strip()
func_args_raw = partial_match.group(3).strip()
# Initialize state if this is the first tool call
if self.current_tool_id == -1:
self.current_tool_id = 0
self.prev_tool_call_arr = []
self.streamed_args_for_tool = [""]
# Ensure we have enough entries in our tracking arrays
while len(self.prev_tool_call_arr) <= self.current_tool_id:
self.prev_tool_call_arr.append({})
while len(self.streamed_args_for_tool) <= self.current_tool_id:
self.streamed_args_for_tool.append("")
if not self.current_tool_name_sent:
calls.append(
ToolCallItem(
tool_index=self.current_tool_id,
name=func_name,
parameters="",
)
)
self.current_tool_name_sent = True
# Store the tool call info for serving layer completions endpoint
self.prev_tool_call_arr[self.current_tool_id] = {
"name": func_name,
"arguments": {},
}
else:
argument_diff = (
func_args_raw[len(self._last_arguments) :]
if func_args_raw.startswith(self._last_arguments)
else func_args_raw
)
if argument_diff:
calls.append(
ToolCallItem(
tool_index=self.current_tool_id,
name=None,
parameters=argument_diff,
)
)
self._last_arguments += argument_diff
self.streamed_args_for_tool[
self.current_tool_id
] += argument_diff
if _is_complete_json(func_args_raw):
# Update the stored arguments
try:
parsed_args = json.loads(func_args_raw)
self.prev_tool_call_arr[self.current_tool_id][
"arguments"
] = parsed_args
except json.JSONDecodeError:
pass
# Find the end of the current tool call and remove only that part from buffer
tool_call_end_pattern = (
r"<tool▁call▁begin>.*?<tool▁call▁end>"
)
match = re.search(
tool_call_end_pattern, current_text, re.DOTALL
)
if match:
# Remove the completed tool call from buffer, keep any remaining content
self._buffer = current_text[match.end() :]
else:
self._buffer = ""
result = StreamingParseResult(normal_text="", calls=calls)
self.current_tool_id += 1
self._last_arguments = ""
self.current_tool_name_sent = False
return result
return StreamingParseResult(normal_text="", calls=calls)
except Exception as e:
logger.error(f"Error in parse_streaming_increment: {e}")
return StreamingParseResult(normal_text=current_text)
def structure_info(self) -> _GetInfoFunc:
return lambda name: StructureInfo(
begin=">" + name + "\n```json\n",
end="\n```<",
trigger=">" + name + "\n```json\n",
)
def build_ebnf(self, tools: List[Tool]):
return EBNFComposer.build_ebnf(
tools,
sequence_start_token=self.bot_token,
sequence_end_token=self.eot_token,
tool_call_separator="",
call_rule_fmt='"<tool▁call▁begin>function<tool▁sep>{name}\\n```json\\n"{arguments_rule}"\\n```<tool▁call▁end>"',
function_format="json",
)