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vllm_mlx.tool_parsers.deepseek_tool_parser

DeepSeek tool call parser for vllm-mlx.

View the complete module source at #L1-L170.

API details

Each callable below includes its exact signature, type annotations, inputs, defaults, return contract, documented exceptions, implementation source, and parsed docstring sections when the source provides them.

vllm_mlx.tool_parsers.deepseek_tool_parser

DeepSeek tool call parser for vllm-mlx.

Handles DeepSeek V3 and R1 tool calling formats: - <｜tool▁calls▁begin｜>...<｜tool▁calls▁end｜> wrapper - <｜tool▁call▁begin｜>function<｜tool▁sep｜>name json {...}<｜tool▁call▁end｜>

vllm_mlx.tool_parsers.deepseek_tool_parser.DeepSeekToolParser 

DeepSeekToolParser(tokenizer: PreTrainedTokenizerBase | None = None)

Bases: ToolParser

Tool call parser for DeepSeek V3 and R1 models.

Supports DeepSeek's tool call format with special unicode tokens: <｜tool▁calls▁begin｜> <｜tool▁call▁begin｜>function<｜tool▁sep｜>get_weather json {"city": "Paris"}<｜tool▁call▁end｜> <｜tool▁calls▁end｜>

Used when --enable-auto-tool-choice --tool-call-parser deepseek are set.

Source code in vllm_mlx/tool_parsers/abstract_tool_parser.py 
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def __init__(self, tokenizer: PreTrainedTokenizerBase | None = None):
    """
    Initialize the tool parser.

    Args:
        tokenizer: The tokenizer for the model (optional, some parsers need it)
    """
    self.model_tokenizer = tokenizer
    # State for streaming parsing
    self.current_tool_id: int = -1
    self.prev_tool_call_arr: list[dict] = []

vllm_mlx.tool_parsers.deepseek_tool_parser.DeepSeekToolParser.SUPPORTS_NATIVE_TOOL_FORMAT class-attribute instance-attribute 

SUPPORTS_NATIVE_TOOL_FORMAT = True

vllm_mlx.tool_parsers.deepseek_tool_parser.DeepSeekToolParser.TOOL_CALLS_START class-attribute instance-attribute 

TOOL_CALLS_START = '<｜tool▁calls▁begin｜>'

vllm_mlx.tool_parsers.deepseek_tool_parser.DeepSeekToolParser.TOOL_CALLS_END class-attribute instance-attribute 

TOOL_CALLS_END = '<｜tool▁calls▁end｜>'

vllm_mlx.tool_parsers.deepseek_tool_parser.DeepSeekToolParser.TOOL_CALL_START class-attribute instance-attribute 

TOOL_CALL_START = '<｜tool▁call▁begin｜>'

vllm_mlx.tool_parsers.deepseek_tool_parser.DeepSeekToolParser.TOOL_CALL_END class-attribute instance-attribute 

TOOL_CALL_END = '<｜tool▁call▁end｜>'

vllm_mlx.tool_parsers.deepseek_tool_parser.DeepSeekToolParser.TOOL_SEP class-attribute instance-attribute 

TOOL_SEP = '<｜tool▁sep｜>'

vllm_mlx.tool_parsers.deepseek_tool_parser.DeepSeekToolParser.TOOL_CALL_PATTERN class-attribute instance-attribute 

TOOL_CALL_PATTERN = re.compile('<｜tool▁call▁begin｜>(?P<type>.*?)<｜tool▁sep｜>(?P<name>.*?)\\n```json\\n(?P<args>.*?)\\n```<｜tool▁call▁end｜>', re.DOTALL)

vllm_mlx.tool_parsers.deepseek_tool_parser.DeepSeekToolParser.TOOL_CALL_SIMPLE_PATTERN class-attribute instance-attribute 

TOOL_CALL_SIMPLE_PATTERN = re.compile('<｜tool▁call▁begin｜>(?P<name>.*?)\\n```json\\n(?P<args>.*?)\\n```<｜tool▁call▁end｜>', re.DOTALL)

vllm_mlx.tool_parsers.deepseek_tool_parser.DeepSeekToolParser.extract_tool_calls 

extract_tool_calls(model_output: str, request: dict[str, Any] | None = None) -> ExtractedToolCallInformation

Extract tool calls from DeepSeek model output.

Source code in vllm_mlx/tool_parsers/deepseek_tool_parser.py 
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def extract_tool_calls(
    self, model_output: str, request: dict[str, Any] | None = None
) -> ExtractedToolCallInformation:
    """
    Extract tool calls from DeepSeek model output.
    """
    # Check for tool calls marker
    if self.TOOL_CALLS_START not in model_output:
        return ExtractedToolCallInformation(
            tools_called=False, tool_calls=[], content=model_output
        )

    tool_calls = []

    # Extract content before tool calls
    content_end = model_output.find(self.TOOL_CALLS_START)
    content = model_output[:content_end].strip() if content_end > 0 else None

    # Try full pattern with type first
    matches = self.TOOL_CALL_PATTERN.findall(model_output)
    for match in matches:
        tool_type, func_name, func_args = match
        try:
            # Validate JSON
            json.loads(func_args)
            tool_calls.append(
                {
                    "id": generate_tool_id(),
                    "name": func_name.strip(),
                    "arguments": func_args.strip(),
                }
            )
        except json.JSONDecodeError:
            # Keep raw arguments
            tool_calls.append(
                {
                    "id": generate_tool_id(),
                    "name": func_name.strip(),
                    "arguments": func_args.strip(),
                }
            )

    # Try simple pattern if no matches
    if not tool_calls:
        simple_matches = self.TOOL_CALL_SIMPLE_PATTERN.findall(model_output)
        for match in simple_matches:
            func_name, func_args = match
            tool_calls.append(
                {
                    "id": generate_tool_id(),
                    "name": func_name.strip(),
                    "arguments": func_args.strip(),
                }
            )

    if tool_calls:
        return ExtractedToolCallInformation(
            tools_called=True,
            tool_calls=tool_calls,
            content=content,
        )
    else:
        return ExtractedToolCallInformation(
            tools_called=False, tool_calls=[], content=model_output
        )

vllm_mlx.tool_parsers.deepseek_tool_parser.DeepSeekToolParser.extract_tool_calls_streaming 

extract_tool_calls_streaming(previous_text: str, current_text: str, delta_text: str, previous_token_ids: Sequence[int] | None = None, current_token_ids: Sequence[int] | None = None, delta_token_ids: Sequence[int] | None = None, request: dict[str, Any] | None = None) -> dict[str, Any] | None

Extract tool calls from streaming DeepSeek model output.

Source code in vllm_mlx/tool_parsers/deepseek_tool_parser.py 
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def extract_tool_calls_streaming(
    self,
    previous_text: str,
    current_text: str,
    delta_text: str,
    previous_token_ids: Sequence[int] | None = None,
    current_token_ids: Sequence[int] | None = None,
    delta_token_ids: Sequence[int] | None = None,
    request: dict[str, Any] | None = None,
) -> dict[str, Any] | None:
    """
    Extract tool calls from streaming DeepSeek model output.
    """
    if self.TOOL_CALLS_START not in current_text:
        return {"content": delta_text}

    # If we see the end marker, parse the complete output
    if self.TOOL_CALL_END in delta_text or self.TOOL_CALLS_END in delta_text:
        result = self.extract_tool_calls(current_text)
        if result.tools_called:
            return {
                "tool_calls": [
                    {
                        "index": i,
                        "id": tc["id"],
                        "type": "function",
                        "function": {
                            "name": tc["name"],
                            "arguments": tc["arguments"],
                        },
                    }
                    for i, tc in enumerate(result.tool_calls)
                ]
            }

    return None

vllm_mlx.tool_parsers.deepseek_tool_parser.generate_tool_id 

generate_tool_id() -> str

Generate a unique tool call ID.

Source code in vllm_mlx/tool_parsers/deepseek_tool_parser.py 
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def generate_tool_id() -> str:
    """Generate a unique tool call ID."""
    return f"call_{uuid.uuid4().hex[:8]}"

Complete contract reference

Expand any definition for its exact inputs, annotations, defaults, return contract, directly raised exceptions, source-grounded behavior, and immutable line link. This section includes private and nested definitions that ordinary API generators omit.

vllm_mlx.tool_parsers.deepseek_tool_parser.generate_tool_id · function 
vllm_mlx.tool_parsers.deepseek_tool_parser.generate_tool_id() -> str

Generate a unique tool call ID.

Parameters

This callable has no explicit inputs.

Returns

  • Type: str
  • Direct return expressions: f'call_{uuid.uuid4().hex[:8]}'

Exceptions and behavior

Function generate_tool_id calls uuid.uuid4; returns f'call_{uuid.uuid4().hex[:8]}'. No direct raise statement appears in this definition.

View source #L26-L28.

vllm_mlx.tool_parsers.deepseek_tool_parser.DeepSeekToolParser · class 
vllm_mlx.tool_parsers.deepseek_tool_parser.DeepSeekToolParser()

Tool call parser for DeepSeek V3 and R1 models.

Parameters

This callable has no explicit inputs.

Returns

  • Constructs: vllm_mlx.tool_parsers.deepseek_tool_parser.DeepSeekToolParser

Exceptions and behavior

Class DeepSeekToolParser derives from ToolParser and declares 2 direct member(s). No direct raise statement appears in this definition.

View source #L32-L170.

vllm_mlx.tool_parsers.deepseek_tool_parser.DeepSeekToolParser.extract_tool_calls · method 
vllm_mlx.tool_parsers.deepseek_tool_parser.DeepSeekToolParser.extract_tool_calls(model_output: str, request: dict[str, Any] | None = None) -> ExtractedToolCallInformation

Extract tool calls from DeepSeek model output.

Parameters

Name Type Required Default Description
model_output str yes none Required positional or keyword input.
request dict[str, Any] \| None no None Optional positional or keyword input; defaults to None.

Returns

  • Type: ExtractedToolCallInformation
  • Direct return expressions: ExtractedToolCallInformation(tools_called=False, tool_calls=[], content=model_output); ExtractedToolCallInformation(tools_called=True, tool_calls=tool_calls, content=content)

Exceptions and behavior

Method DeepSeekToolParser.extract_tool_calls calls ExtractedToolCallInformation, model_output.find, model_output[:content_end].strip, self.TOOL_CALL_PATTERN.findall; has 2 explicit return paths. No direct raise statement appears in this definition.

View source #L69-L133.

vllm_mlx.tool_parsers.deepseek_tool_parser.DeepSeekToolParser.extract_tool_calls_streaming · method 
vllm_mlx.tool_parsers.deepseek_tool_parser.DeepSeekToolParser.extract_tool_calls_streaming(previous_text: str, current_text: str, delta_text: str, previous_token_ids: Sequence[int] | None = None, current_token_ids: Sequence[int] | None = None, delta_token_ids: Sequence[int] | None = None, request: dict[str, Any] | None = None) -> dict[str, Any] | None

Extract tool calls from streaming DeepSeek model output.

Parameters

Name Type Required Default Description
previous_text str yes none Required positional or keyword input.
current_text str yes none Required positional or keyword input.
delta_text str yes none Required positional or keyword input.
previous_token_ids Sequence[int] \| None no None Optional positional or keyword input; defaults to None.
current_token_ids Sequence[int] \| None no None Optional positional or keyword input; defaults to None.
delta_token_ids Sequence[int] \| None no None Optional positional or keyword input; defaults to None.
request dict[str, Any] \| None no None Optional positional or keyword input; defaults to None.

Returns

  • Type: dict[str, Any] | None
  • Direct return expressions: {'content': delta_text}; {'tool_calls': [{'index': i, 'id': tc['id'], 'type': 'function', 'function': {'name': tc['name'], 'arguments': tc['argu…; None

Exceptions and behavior

Method DeepSeekToolParser.extract_tool_calls_streaming calls self.extract_tool_calls, enumerate; has 3 explicit return paths. No direct raise statement appears in this definition.

View source #L135-L170.

Complete symbol map

This map also includes private definitions and nested helpers. The signature column exposes every explicit input even when an internal helper has no dedicated parameter prose.

Symbol Kind Signature and inputs What it does Source
generate_tool_id function generate_tool_id() -> str Generate a unique tool call ID. #L26-L28
DeepSeekToolParser class DeepSeekToolParser() Tool call parser for DeepSeek V3 and R1 models. #L32-L170
DeepSeekToolParser.extract_tool_calls method DeepSeekToolParser.extract_tool_calls(model_output: str, request: dict[str, Any] \| None = None) -> ExtractedToolCallInformation Extract tool calls from DeepSeek model output. #L69-L133
DeepSeekToolParser.extract_tool_calls_streaming method DeepSeekToolParser.extract_tool_calls_streaming(previous_text: str, current_text: str, delta_text: str, previous_token_ids: Sequence[int] \| None = None, current_token_ids: Sequence[int] \| None = None, delta_token_ids: Sequence[int] \| None = None, request: dict[str, Any] \| None = None) -> dict[str, Any] \| None Extract tool calls from streaming DeepSeek model output. #L135-L170