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# coding=utf-8
# Copyright 2025 Upstage AI.
#
# 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.
import random
import re
import string
import ast
import json
from collections.abc import Sequence
from typing import Union, Tuple, List, Optional
from vllm.entrypoints.openai.protocol import (
ChatCompletionRequest,
DeltaMessage,
DeltaFunctionCall,
DeltaToolCall,
ExtractedToolCallInformation,
ToolCall,
FunctionCall,
)
from vllm.entrypoints.openai.tool_parsers.abstract_tool_parser import (
ToolParser
)
from vllm.logger import init_logger
import pyjson5
class ToolCallID:
_LENGTH = 10
def __init__(self, id_val: str, validation: bool = False):
self._id = id_val
if validation:
self._validate()
@classmethod
def random(cls, validation=False) -> 'ToolCallID':
chars = string.ascii_lowercase + string.digits
return cls(''.join(random.choice(chars) for _ in range(ToolCallID._LENGTH)), validation=validation)
def _validate(self):
assert len(self._id) == ToolCallID._LENGTH
pattern = r'^[a-z0-9]{10}$'
assert re.match(pattern, self._id) is not None
def to_string(self) -> str:
return self._id
def __str__(self) -> str:
return self.to_string()
logger = init_logger(__name__)
class SolarOpenToolParser(ToolParser):
def extract_tool_calls(
self,
model_output: str,
request: ChatCompletionRequest,
) -> ExtractedToolCallInformation:
content, tool_calls = self._parse_text(model_output)
return ExtractedToolCallInformation(
tools_called=len(tool_calls) > 0,
tool_calls=tool_calls,
content=content if content else None,
)
def extract_tool_calls_streaming(
self,
previous_text: str,
current_text: str,
delta_text: str,
previous_token_ids: Sequence[int],
current_token_ids: Sequence[int],
delta_token_ids: Sequence[int],
request: ChatCompletionRequest,
) -> Union[DeltaMessage, None]:
# 1) Emit plain content tokens immediately until content terminator
# tags or tool_calls section begins. Be careful when tokenizer groups
# multiple special tags into a single delta (e.g., "<|tool_calls|><|tool_call:begin|>").
# Only emit as content if BOTH:
# - previous_text has not seen any special markers, and
# - delta_text does NOT contain any of those markers as a substring.
if delta_text:
# Do NOT emit content if we have already started any special section
# including tool call tags. Content should only be emitted at the
# very beginning before any markers show up.
special_markers = (
"<|flush|>",
"<|end|>",
"<|begin|>",
"<|tool_calls|>",
"<|tool_call:begin|>",
"<|tool_call:name|>",
"<|tool_call:args|>",
"<|tool_call:end|>",
"<|calls|>",
)
if not any(tag in previous_text for tag in special_markers):
if not any(tag in delta_text for tag in special_markers):
return DeltaMessage(content=delta_text, tool_calls=[])
tool_call_deltas: list[DeltaToolCall] = []
# Helper lambdas to analyze current_text state
def _completed_calls_count(txt: str) -> int:
return len(self._parse_tool_calls(txt))
# Detect if a new tool_call started streaming its args just now.
if delta_text and "<|tool_call:args|>" in delta_text:
# Extract id and name for the latest tool call block present so far.
begin_tag = "<|tool_call:begin|>"
name_tag = "<|tool_call:name|>"
args_tag = "<|tool_call:args|>"
latest_args = current_text.rfind(args_tag)
latest_name = current_text.rfind(name_tag, 0, latest_args if latest_args != -1 else None)
latest_begin = current_text.rfind(begin_tag, 0, latest_name if latest_name != -1 else None)
if latest_begin != -1 and latest_name != -1 and latest_args != -1 and latest_begin < latest_name < latest_args:
tool_id = current_text[latest_begin + len(begin_tag):latest_name]
func_name = current_text[latest_name + len(name_tag):latest_args]
# Index equals number of args tags seen before this delta
index = previous_text.count(args_tag)
tool_call_deltas.append(
DeltaToolCall(
id=tool_id,
type="function",
index=index,
function=DeltaFunctionCall(name=func_name, arguments=""),
)
)
# If we are inside args (after last args tag without end), stream arg chunk
begin_tag = "<|tool_call:begin|>"
args_tag = "<|tool_call:args|>"
end_tag = "<|tool_call:end|>"
last_args_pos = current_text.rfind(args_tag)
last_end_pos = current_text.rfind(end_tag)
if last_args_pos != -1 and (last_end_pos == -1 or last_args_pos > last_end_pos):
# Currently within args for the latest tool call
# Determine previous args text and current args text to compute delta
prev_last_args = previous_text.rfind(args_tag)
prev_last_end = previous_text.rfind(end_tag)
if prev_last_args != -1 and (prev_last_end == -1 or prev_last_args > prev_last_end):
# Already inside args previously: emit only the delta_text
if delta_text and delta_text not in (begin_tag, args_tag, end_tag):
# Stream into the most recently started (but not yet ended) call
index = max(previous_text.count(args_tag) - 1, 0)
tool_call_deltas.append(
DeltaToolCall(
id=None,
type=None,
index=index,
function=DeltaFunctionCall(name=None, arguments=delta_text),
)
)
if not tool_call_deltas:
return None
return DeltaMessage(content=None, tool_calls=tool_call_deltas)
# --------------------
# Internal helpers
# --------------------
def _parse_text(self, text: str) -> Tuple[Optional[str], List[ToolCall]]:
"""Parse the completed segments from the given text.
Returns (content, tool_calls) where content is extracted as the leading
text up to the first '<|flush|>' or '<|end|>' marker, and tool_calls is
a list of fully parsed tool calls inside '<|tool_calls|> ... <|calls|>'.
"""
content = self._parse_content(text)
tool_calls = self._parse_tool_calls(text)
return content, tool_calls
def _parse_content(self, text: str) -> Optional[str]:
"""Extract assistant content from the text.
Rule: take the leading content before the first '<|flush|>' or
'<|end|>' marker. If neither marker exists, return None.
"""
end_tags = ["<|flush|>", "<|end|>"]
# Take leading content before the first end tag
end_positions = [pos for tag in end_tags if (pos := text.find(tag)) != -1]
if not end_positions:
return None
end = min(end_positions)
# Trim only the extracted portion; tests expect exact substring
return text[:end]
def _parse_tool_call_args(self, text: str) -> str:
try:
# Try to parse as JSON
args = json.loads(text)
except json.JSONDecodeError:
try:
# Try to parse as JSON5
args = pyjson5.decode(text)
except pyjson5.Json5DecoderException:
try:
# Try to parse as Python literal
args = ast.literal_eval(text)
except Exception:
# Fallback: return the original string
args = text
if not isinstance(args, str):
# Always convert back to JSON string
args = json.dumps(args)
return args
def _parse_tool_calls(self, text: str) -> List[ToolCall]:
tool_calls: list[ToolCall] = []
# Parse globally; wrapper '<|tool_calls|>' may or may not be present.
section_start = 0
# section ends at <|calls|> if present, else use end of text
section_end = text.find("<|calls|>")
if section_end == -1:
section_end = len(text)
i = section_start
while True:
begin_tag = "<|tool_call:begin|>"
name_tag = "<|tool_call:name|>"
args_tag = "<|tool_call:args|>"
end_tag = "<|tool_call:end|>"
b = text.find(begin_tag, i, section_end)
if b == -1:
break
b += len(begin_tag)
n = text.find(name_tag, b, section_end)
if n == -1:
break
tool_id = text[b:n]
n += len(name_tag)
a = text.find(args_tag, n, section_end)
if a == -1:
break
name = text[n:a]
a += len(args_tag)
e = text.find(end_tag, a, section_end)
if e == -1:
break
args = text[a:e]
tool_calls.append(
ToolCall(
id=tool_id,
function=FunctionCall(name=name, arguments=self._parse_tool_call_args(args)),
))
i = e + len(end_tag)
return tool_calls
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