@ToolParserManager.register_module("seed_oss")
class SeedOssToolParser(ToolParser):
TOOL_CALL_START = "<seed:tool_call>"
TOOL_CALL_END = "</seed:tool_call>"
def __init__(self, tokenizer: AnyTokenizer):
super().__init__(tokenizer)
# --- streaming state ---
self._reset_streaming_state()
self.prev_tool_call_arr: list[dict] = []
self.tool_call_start_token: str = self.TOOL_CALL_START
self.tool_call_end_token: str = self.TOOL_CALL_END
# Sentinel tokens for streaming mode
self.tool_call_prefix: str = "<function="
self.function_end_token: str = "</function>"
self.parameter_prefix: str = "<parameter="
self.parameter_end_token: str = "</parameter>"
self.think_start_token: str = "<seed:think>"
self.think_end_token: str = "</seed:think>"
self.is_tool_call_started: bool = False
self.is_thinking_end: bool = False
self.failed_count: int = 0
self._reset_streaming_state()
self.tool_call_start_token_id = self.vocab.get(
self.tool_call_start_token)
self.tool_call_end_token_id = self.vocab.get(self.tool_call_end_token)
self.think_end_token_id = self.vocab.get(self.think_end_token)
if (self.tool_call_start_token_id is None
or self.tool_call_end_token_id is None):
raise RuntimeError(
"Seed_Oss XML parser: tokenizer did not include "
"<seed:tool_call> or its closing tag.")
tool_start_re = re.escape(self.tool_call_start_token)
tool_end_re = re.escape(self.tool_call_end_token)
self.tool_call_complete_regex = re.compile(
rf"{tool_start_re}(.*?){tool_end_re}", re.DOTALL)
self.tool_call_regex = re.compile(
rf"{tool_start_re}(.*?){tool_end_re}|{tool_start_re}(.*?)$",
re.DOTALL)
self.tool_call_function_regex = re.compile(
r"<function=(.*?)</function>|<function=(.*)$", re.DOTALL)
self.tool_call_parameter_regex = re.compile(
r"<parameter=(.*?)</parameter>|<parameter=(.*?)$", re.DOTALL)
logger.info("vLLM Seed-Oss XML tool parser loaded (%s).",
self.__class__.__name__)
def _generate_tool_call_id(self) -> str:
"""Generate a unique tool call ID."""
return f"call_{uuid.uuid4().hex[:24]}"
def _reset_streaming_state(self):
"""Reset all streaming state."""
self.current_tool_index = 0
self.is_tool_call_started = False
self.header_sent = False
self.current_tool_id = -1
self.current_function_name = None
self.current_param_name = None
self.current_param_value = ""
self.param_count = 0
self.in_param = False
self.in_function = False
self.accumulated_text = ""
self.json_started = False
self.json_closed = False
def _parse_xml_function_call(
self, function_call_str: str,
tools: Optional[list[ChatCompletionToolsParam]]
) -> Optional[ToolCall]:
def get_arguments_config(func_name: str) -> dict:
if tools is None:
return {}
for config in tools:
if not hasattr(config, "type") or not (
hasattr(config, "function")
and hasattr(config.function, "name")):
continue
if (config.type == "function"
and config.function.name == func_name):
if not hasattr(config.function, "parameters"):
return {}
params = config.function.parameters
if isinstance(params, dict) and "properties" in params:
return params["properties"]
elif isinstance(params, dict):
return params
else:
return {}
logger.warning("Tool '%s' is not defined in the tools list.",
func_name)
return {}
def convert_param_value(param_value: str, param_name: str,
param_config: dict, func_name: str) -> Any:
# Handle null value for any type
if param_value.lower() == "null":
return None
if param_name not in param_config:
if param_config != {}:
logger.warning(
"Parsed parameter '%s' is not defined in "
"the tool parameters for tool '%s', "
"directly returning the string value.", param_name,
func_name)
return param_value
if (isinstance(param_config[param_name], dict)
and "type" in param_config[param_name]):
param_type = str(
param_config[param_name]["type"]).strip().lower()
else:
param_type = "string"
if param_type in [
"string", "str", "text", "varchar", "char", "enum"
]:
return param_value
elif (param_type.startswith("int") or param_type.startswith("uint")
or param_type.startswith("long")
or param_type.startswith("short")
or param_type.startswith("unsigned")):
try:
param_value = int(param_value) # type: ignore
except (ValueError, TypeError):
logger.warning(
"Parsed value '%s' of parameter '%s' is not an integer in tool "
"'%s', degenerating to string.", param_value,
param_name, func_name)
return param_value
elif param_type.startswith("num") or param_type.startswith(
"float"):
try:
float_param_value = float(param_value)
param_value = float_param_value if float_param_value - int(
float_param_value) != 0 else int(
float_param_value) # type: ignore
except (ValueError, TypeError):
logger.warning(
"Parsed value '%s' of parameter '%s' is not a float in tool "
"'%s', degenerating to string.", param_value,
param_name, func_name)
return param_value
elif param_type in ["boolean", "bool", "binary"]:
param_value = param_value.lower()
if param_value not in ["true", "false"]:
logger.warning(
"Parsed value '%s' of parameter '%s' is not a boolean "
"(`true` of `false`) in tool '%s', degenerating to false.",
param_value, param_name, func_name)
return param_value == "true"
else:
if param_type == "object" or param_type.startswith("dict"):
try:
param_value = json.loads(param_value)
return param_value
except (ValueError, TypeError, json.JSONDecodeError):
logger.warning(
"Parsed value '%s' of parameter '%s' is not a valid JSON "
"object in tool '%s', will try other methods to parse it.",
param_value, param_name, func_name)
try:
param_value = ast.literal_eval(param_value)
except (ValueError, SyntaxError):
logger.warning(
"Parsed value '%s' of parameter '%s' cannot be converted via "
"Python `ast.literal_eval()` in tool '%s', degenerating to string.",
param_value, param_name, func_name)
return param_value
# Extract function name
end_index = function_call_str.index(">")
function_name = function_call_str[:end_index]
param_config = get_arguments_config(function_name)
parameters = function_call_str[end_index + 1:]
param_dict = {}
for match in self.tool_call_parameter_regex.findall(parameters):
match_text = match[0] if match[0] else match[1]
idx = match_text.index(">")
param_name = match_text[:idx]
param_value = str(match_text[idx + 1:])
# Remove prefix and trailing \n
if param_value.startswith("\n"):
param_value = param_value[1:]
if param_value.endswith("\n"):
param_value = param_value[:-1]
param_dict[param_name] = convert_param_value(
param_value, param_name, param_config, function_name)
return ToolCall(
type="function",
function=FunctionCall(name=function_name,
arguments=json.dumps(param_dict,
ensure_ascii=False)),
)
def _get_function_calls(self, model_output: str) -> list[str]:
# Find all tool calls
matched_ranges = self.tool_call_regex.findall(model_output)
raw_tool_calls = [
match[0] if match[0] else match[1] for match in matched_ranges
]
# Back-off strategy if no tool_call tags found
if len(raw_tool_calls) == 0:
raw_tool_calls = [model_output]
raw_function_calls = []
for tool_call in raw_tool_calls:
raw_function_calls.extend(
self.tool_call_function_regex.findall(tool_call))
function_calls = [
match[0] if match[0] else match[1] for match in raw_function_calls
]
return function_calls
def extract_tool_calls(
self,
model_output: str,
request: ChatCompletionRequest,
) -> ExtractedToolCallInformation:
# Quick check to avoid unnecessary processing
if self.tool_call_prefix not in model_output:
return ExtractedToolCallInformation(tools_called=False,
tool_calls=[],
content=model_output)
# Check if both think start and end tokens are present
if (self.think_start_token in model_output
and self.think_end_token in model_output):
# Find the position of think end token
think_end_index = model_output.find(self.think_end_token) + len(
self.think_end_token)
# Extract content after think end token
result_content = model_output[think_end_index:]
thinking_content = model_output[:think_end_index]
else:
thinking_content = ""
result_content = model_output
try:
function_calls = self._get_function_calls(result_content)
if len(function_calls) == 0:
return ExtractedToolCallInformation(tools_called=False,
tool_calls=[],
content=model_output)
tool_calls = [
self._parse_xml_function_call(function_call_str, request.tools)
for function_call_str in function_calls
]
# Populate prev_tool_call_arr for serving layer to set finish_reason
self.prev_tool_call_arr.clear() # Clear previous calls
for tool_call in tool_calls:
if tool_call:
self.prev_tool_call_arr.append({
"name":
tool_call.function.name,
"arguments":
tool_call.function.arguments,
})
# Extract content before tool calls
tool_call_start_index = result_content.find(
self.tool_call_start_token)
tool_call_start_index = (
tool_call_start_index if tool_call_start_index >= 0 else
result_content.find(self.tool_call_prefix))
content = thinking_content + result_content[:tool_call_start_index]
return ExtractedToolCallInformation(
tools_called=(len(tool_calls) > 0),
tool_calls=tool_calls,
content=content if content else None,
)
except Exception:
logger.exception("Error in extracting tool call from response.")
return ExtractedToolCallInformation(tools_called=False,
tool_calls=[],
content=model_output)
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]:
# If no delta text, return None unless
# it's an EOS token after tool calls
if not delta_text:
# Check if this is an EOS token after all tool calls are complete
# We check for tool calls in the text even if is_tool_call_started
# is False because it might have been reset after processing all tools
if (delta_token_ids
and self.tool_call_end_token_id not in delta_token_ids):
# Count complete tool calls
complete_calls = len(
self.tool_call_complete_regex.findall(current_text))
# If we have completed tool calls and populated prev_tool_call_arr
if complete_calls > 0 and len(self.prev_tool_call_arr) > 0:
# Check if all tool calls are closed
open_calls = current_text.count(
self.tool_call_start_token) - current_text.count(
self.tool_call_end_token)
if open_calls == 0:
# Return empty delta message to allow finish_reason processing
return DeltaMessage(content="")
elif not self.is_tool_call_started and current_text:
# This is a regular content response that's now complete
return DeltaMessage(content="")
return None
# Check if this is the first call (reset state if needed)
if not previous_text:
self._reset_streaming_state()
# Update accumulated text
self.accumulated_text = current_text
# Check if we need to advance to next tool
if self.json_closed and not self.in_function:
# Check if this tool call has ended
tool_ends = current_text.count(self.tool_call_end_token)
if tool_ends > self.current_tool_index:
# This tool has ended, advance to next
self.current_tool_index += 1
self.header_sent = False
self.param_count = 0
self.json_started = False
self.json_closed = False
# Check if there are more tool calls
if self.current_tool_index >= current_text.count(
self.tool_call_start_token):
# No more tool calls
self.is_tool_call_started = False
# Continue processing next tool
return None
# Check if end thinking
if (not self.is_thinking_end
and (self.think_end_token_id in delta_token_ids
or self.think_end_token in delta_text)):
self.is_thinking_end = True
# If thinking hasn't ended yet, don't process any tool calls
if not self.is_thinking_end:
return DeltaMessage(content=delta_text)
# Handle normal content before tool calls
if not self.is_tool_call_started:
# Check if tool call is starting
if (self.tool_call_start_token_id in delta_token_ids
or self.tool_call_start_token in delta_text):
self.is_tool_call_started = True
# Return any content before the tool call
if self.tool_call_start_token in delta_text:
content_before = delta_text[:delta_text.index(
self.tool_call_start_token)]
if content_before:
return DeltaMessage(content=content_before)
return None
else:
# Check if we're between tool calls - skip whitespace
if (current_text.rstrip().endswith(self.tool_call_end_token)
and delta_text.strip() == ""):
# We just ended a tool call, skip whitespace
return None
# Normal content, no tool call
return DeltaMessage(content=delta_text)
# Check if we're between tool calls (waiting for next one)
# Count tool calls we've seen vs processed
tool_starts_count = current_text.count(self.tool_call_start_token)
if self.current_tool_index >= tool_starts_count:
# We're past all tool calls, shouldn't be here
return None
# We're in a tool call, find the current tool call portion
# Need to find the correct tool call based on current_tool_index
# Only process tool calls after think_end_token
think_end_index = current_text.find(self.think_end_token) + len(
self.think_end_token
) if self.think_end_token in current_text else 0
tool_starts: list[int] = []
idx = think_end_index
while True:
idx = current_text.find(self.tool_call_start_token, idx)
if idx == -1:
break
tool_starts.append(idx)
idx += len(self.tool_call_start_token)
if self.current_tool_index >= len(tool_starts):
# No more tool calls to process yet
return None
tool_start_idx = tool_starts[self.current_tool_index]
# Find where this tool call ends (or current position if not ended yet)
tool_end_idx = current_text.find(self.tool_call_end_token,
tool_start_idx)
if tool_end_idx == -1:
tool_text = current_text[tool_start_idx:]
else:
tool_text = current_text[tool_start_idx:tool_end_idx +
len(self.tool_call_end_token)]
# Looking for function header
if not self.header_sent:
if self.tool_call_prefix in tool_text:
func_start = tool_text.find(self.tool_call_prefix) + len(
self.tool_call_prefix)
func_end = tool_text.find(">", func_start)
if func_end != -1:
# Found complete function name
self.current_function_name = tool_text[func_start:func_end]
self.current_tool_id = self._generate_tool_call_id(
) # type: ignore
self.header_sent = True
self.in_function = True
# IMPORTANT: Add to prev_tool_call_arr immediately when we detect a tool call
# This ensures finish_reason="tool_calls" even if parsing isn't complete
already_added = any(
tool.get("name") == self.current_function_name
for tool in self.prev_tool_call_arr)
if not already_added:
self.prev_tool_call_arr.append({
"name": self.current_function_name,
"arguments":
"{}", # Placeholder, will be updated later
})
# Send header with function info
return DeltaMessage(tool_calls=[
DeltaToolCall(
index=self.current_tool_index,
id=self.current_tool_id,
function=DeltaFunctionCall(
name=self.current_function_name, arguments=""),
type="function",
)
])
return None
# We've sent header, now handle function body
if self.in_function:
# Send opening brace if not sent yet
if (not self.json_started
and self.parameter_prefix not in delta_text):
self.json_started = True
return DeltaMessage(tool_calls=[
DeltaToolCall(
index=self.current_tool_index,
function=DeltaFunctionCall(arguments="{"),
)
])
# Make sure json_started is set if we're processing parameters
if not self.json_started:
self.json_started = True
# Check for function end in accumulated text
if not self.json_closed and self.function_end_token in tool_text:
# Close JSON
self.json_closed = True
# Extract the complete tool call to update prev_tool_call_arr with final arguments
# Find the function content
func_start = tool_text.find(self.tool_call_prefix) + len(
self.tool_call_prefix)
func_content_end = tool_text.find(self.function_end_token,
func_start)
if func_content_end != -1:
func_content = tool_text[func_start:func_content_end]
# Parse to get the complete arguments
try:
parsed_tool = self._parse_xml_function_call(
func_content, request.tools if request else None)
if parsed_tool:
# Update existing entry in prev_tool_call_arr with complete arguments
for i, tool in enumerate(self.prev_tool_call_arr):
if tool.get(
"name") == parsed_tool.function.name:
self.prev_tool_call_arr[i]["arguments"] = (
parsed_tool.function.arguments)
break
except Exception:
logger.warning(
"Failed to parse tool arguments during streaming.",
exc_info=True)
result = DeltaMessage(tool_calls=[
DeltaToolCall(
index=self.current_tool_index,
function=DeltaFunctionCall(arguments="}"),
)
])
# Reset state for next tool
self.in_function = False
self.json_closed = True
return result
# Look for parameters
# Count how many complete parameters we have processed
complete_params = tool_text.count(self.parameter_end_token)
# Check if we should start a new parameter
if not self.in_param and self.param_count < complete_params:
# Find the unprocessed parameter
# Count parameter starts
param_starts = []
idx = 0
while True:
idx = tool_text.find(self.parameter_prefix, idx)
if idx == -1:
break
param_starts.append(idx)
idx += len(self.parameter_prefix)
if len(param_starts) > self.param_count:
# Process the next parameter
param_idx = param_starts[self.param_count]
param_start = param_idx + len(self.parameter_prefix)
remaining = tool_text[param_start:]
if ">" in remaining:
# We have the complete parameter name
name_end = remaining.find(">")
self.current_param_name = remaining[:name_end]
# Find the parameter value
value_start = param_start + name_end + 1
value_text = tool_text[value_start:]
if value_text.startswith("\n"):
value_text = value_text[1:]
# Find where this parameter ends
param_end_idx = value_text.find(
self.parameter_end_token)
if param_end_idx != -1:
# Complete parameter found
param_value = value_text[:param_end_idx]
if param_value.endswith("\n"):
param_value = param_value[:-1]
# Build complete JSON fragment for this parameter
if self.param_count == 0:
json_fragment = (
'"' + self.current_param_name + '": "' +
json.dumps(param_value)[1:-1] + '"')
else:
json_fragment = (
', "' + self.current_param_name + '": "' +
json.dumps(param_value)[1:-1] + '"')
self.param_count += 1
return DeltaMessage(tool_calls=[
DeltaToolCall(
index=self.current_tool_index,
function=DeltaFunctionCall(
arguments=json_fragment),
)
])
# Continue parameter value
if self.in_param:
if self.parameter_end_token in delta_text:
# End of parameter
end_idx = delta_text.find(self.parameter_end_token)
value_chunk = delta_text[:end_idx]
# Skip past > if at start
if not self.current_param_value and ">" in value_chunk:
gt_idx = value_chunk.find(">")
value_chunk = value_chunk[gt_idx + 1:]
if not self.current_param_value and value_chunk.startswith(
"\n"):
value_chunk = value_chunk[1:]
# Calculate incremental JSON
full_value = self.current_param_value + value_chunk
prev_escaped = (json.dumps(self.current_param_value)[1:-1]
if self.current_param_value else "")
full_escaped = json.dumps(full_value)[1:-1]
delta_escaped = full_escaped[len(prev_escaped):]
self.in_param = False
self.current_param_value = ""
return DeltaMessage(tool_calls=[
DeltaToolCall(
index=self.current_tool_index,
function=DeltaFunctionCall(
arguments=delta_escaped + '"'),
)
])
else:
# Continue accumulating value
value_chunk = delta_text
# Handle first chunk after param name
if not self.current_param_value and ">" in value_chunk:
gt_idx = value_chunk.find(">")
value_chunk = value_chunk[gt_idx + 1:]
if not self.current_param_value and value_chunk.startswith(
"\n"):
value_chunk = value_chunk[1:]
if value_chunk:
# Stream the escaped delta
prev_escaped = (json.dumps(
self.current_param_value)[1:-1]
if self.current_param_value else "")
self.current_param_value += value_chunk
full_escaped = json.dumps(
self.current_param_value)[1:-1]
delta_escaped = full_escaped[len(prev_escaped):]
if delta_escaped:
return DeltaMessage(tool_calls=[
DeltaToolCall(
index=self.current_tool_index,
function=DeltaFunctionCall(
arguments=delta_escaped),
)
])
return None