[GLM-4.7] GLM-4.7 Tool Parser and Doc Update (#15333)
This commit is contained in:
Yuxuan Zhang
@@ -15,6 +15,7 @@ from sglang.srt.function_call.deepseekv3_detector import DeepSeekV3Detector
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from sglang.srt.function_call.deepseekv31_detector import DeepSeekV31Detector
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from sglang.srt.function_call.deepseekv32_detector import DeepSeekV32Detector
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from sglang.srt.function_call.glm4_moe_detector import Glm4MoeDetector
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from sglang.srt.function_call.glm47_moe_detector import Glm47MoeDetector
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from sglang.srt.function_call.gpt_oss_detector import GptOssDetector
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from sglang.srt.function_call.internlm_detector import InternlmDetector
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from sglang.srt.function_call.kimik2_detector import KimiK2Detector
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@@ -46,6 +47,7 @@ class FunctionCallParser:
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"deepseekv32": DeepSeekV32Detector,
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"glm": Glm4MoeDetector,
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"glm45": Glm4MoeDetector,
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"glm47": Glm47MoeDetector,
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"gpt-oss": GptOssDetector,
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"kimi_k2": KimiK2Detector,
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"llama3": Llama32Detector,
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584
python/sglang/srt/function_call/glm47_moe_detector.py
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584
python/sglang/srt/function_call/glm47_moe_detector.py
Normal file
@@ -0,0 +1,584 @@
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import ast
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import json
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import logging
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import re
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from enum import Enum
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from typing import Any, Dict, List, Optional, Tuple
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from sglang.srt.entrypoints.openai.protocol import Tool
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from sglang.srt.function_call.base_format_detector import BaseFormatDetector
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from sglang.srt.function_call.core_types import (
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StreamingParseResult,
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ToolCallItem,
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_GetInfoFunc,
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)
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logger = logging.getLogger(__name__)
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class StreamState(str, Enum):
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"""State machine states for XML to JSON streaming conversion."""
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INIT = "INIT"
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BETWEEN = "BETWEEN"
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IN_KEY = "IN_KEY"
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WAITING_VALUE = "WAITING_VALUE"
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IN_VALUE = "IN_VALUE"
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def get_argument_type(
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func_name: str, arg_key: str, defined_tools: List[Tool]
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) -> Optional[str]:
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"""Get the expected type of a function argument from tool definitions.
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Args:
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func_name: Name of the function/tool
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arg_key: Name of the argument
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defined_tools: List of available tools
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Returns:
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The type string (e.g., 'string', 'number', 'object') or None if not found
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"""
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name2tool = {tool.function.name: tool for tool in defined_tools}
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if func_name not in name2tool:
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return None
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tool = name2tool[func_name]
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properties = (tool.function.parameters or {}).get("properties", {})
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if not isinstance(properties, dict):
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properties = {}
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if arg_key not in properties:
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return None
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return properties[arg_key].get("type", None)
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def _convert_to_number(value: str) -> Any:
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"""Convert string to appropriate number type (int or float).
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Args:
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value: String value to convert
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Returns:
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Converted number or original string if conversion fails
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"""
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try:
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if "." in value or "e" in value.lower():
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return float(value)
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else:
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return int(value)
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except (ValueError, AttributeError):
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return value
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def parse_arguments(
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json_value: str, arg_type: Optional[str] = None
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) -> Tuple[Any, bool]:
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"""Parse argument value with multiple fallback strategies.
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Args:
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json_value: Raw string value to parse
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arg_type: Expected type hint ('string', 'number', 'object', etc.)
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Returns:
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Tuple of (parsed_value, is_valid_json)
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"""
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# Strategy 1: Direct JSON parsing
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try:
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parsed_value = json.loads(json_value)
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# Type coercion for number type
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if arg_type == "number" and isinstance(parsed_value, str):
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parsed_value = _convert_to_number(parsed_value)
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return parsed_value, True
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except (json.JSONDecodeError, ValueError):
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pass
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# Strategy 2: Unescape and parse
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try:
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wrapped = json.loads('{"tmp": "' + json_value + '"}')
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parsed_value = json.loads(wrapped["tmp"])
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if arg_type == "number" and isinstance(parsed_value, str):
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parsed_value = _convert_to_number(parsed_value)
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return parsed_value, True
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except (json.JSONDecodeError, ValueError, KeyError):
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pass
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# Strategy 3: ast.literal_eval
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try:
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parsed_value = ast.literal_eval(json_value)
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return parsed_value, True
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except (ValueError, SyntaxError):
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pass
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# Strategy 4: Treat as string
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try:
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quoted_value = json.dumps(str(json_value))
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return json.loads(quoted_value), True
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except (json.JSONDecodeError, ValueError):
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return json_value, False
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class Glm47MoeDetector(BaseFormatDetector):
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"""
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Detector for GLM-4.7 and GLM-5 models.
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Assumes function call format:
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<tool_call>get_weather<arg_key>city</arg_key><arg_value>北京</arg_value><arg_key>date</arg_key><arg_value>2024-06-27</arg_value></tool_call><tool_call>get_weather<arg_key>city</arg_key><arg_value>上海</arg_value><arg_key>date</arg_key><arg_value>2024-06-27</arg_value></tool_call>
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"""
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def __init__(self):
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super().__init__()
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self.bot_token = "<tool_call>"
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self.eot_token = "</tool_call>"
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self.func_call_regex = r"<tool_call>.*?</tool_call>"
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self.func_detail_regex = re.compile(
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r"<tool_call>(.*?)(<arg_key>.*?)?</tool_call>", re.DOTALL
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)
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self.func_arg_regex = re.compile(
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r"<arg_key>(.*?)</arg_key>(?:\\n|\s)*<arg_value>(.*?)</arg_value>",
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re.DOTALL,
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)
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self._last_arguments = ""
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self.current_tool_id = -1
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self.current_tool_name_sent = False
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self._streamed_raw_length = 0
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self._reset_streaming_state()
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def _reset_streaming_state(self) -> None:
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"""Reset the streaming state machine for a new tool call."""
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self._stream_state = StreamState.INIT
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self._current_key = ""
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self._current_value = ""
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self._xml_tag_buffer = ""
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self._is_first_param = True
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self._value_started = False
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self._cached_value_type: Optional[str] = (
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None # Cache the value type for consistency
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)
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def has_tool_call(self, text: str) -> bool:
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"""Check if the text contains a glm-4.5 / glm-4.6 format tool call."""
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return self.bot_token in text
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def detect_and_parse(self, text: str, tools: List[Tool]) -> StreamingParseResult:
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"""
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One-time parsing: Detects and parses tool calls in the provided text.
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:param text: The complete text to parse.
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:param tools: List of available tools.
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:return: ParseResult indicating success or failure, consumed text, leftover text, and parsed calls.
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"""
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idx = text.find(self.bot_token)
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normal_text = text[:idx].strip() if idx != -1 else text
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if self.bot_token not in text:
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return StreamingParseResult(normal_text=normal_text, calls=[])
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match_result_list = re.findall(self.func_call_regex, text, re.DOTALL)
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calls = []
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try:
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for match_result in match_result_list:
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# Get function name
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func_detail = self.func_detail_regex.search(match_result)
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func_name = func_detail.group(1)
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func_args = func_detail.group(2)
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arguments = {}
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if func_args:
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pairs = self.func_arg_regex.findall(func_args)
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# Parse arguments using shared method
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arguments = self._parse_argument_pairs(pairs, func_name, tools)
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# construct match_result for parse_base_json
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match_result = {"name": func_name, "parameters": arguments}
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calls.extend(self.parse_base_json(match_result, tools))
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return StreamingParseResult(normal_text=normal_text, calls=calls)
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except Exception as e:
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logger.error(f"Error in detect_and_parse: {e}", exc_info=True)
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# return the normal text if parsing fails
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return StreamingParseResult(normal_text=text)
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def _get_value_type(self, func_name: str, key: str, tools: List[Tool]) -> str:
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"""Get parameter type from tool definition, with fallback to auto-detection.
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Args:
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func_name: Name of the function
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key: Parameter name
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tools: List of available tools
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Returns:
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Type string: 'string', 'number', or 'object'
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"""
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arg_type = get_argument_type(func_name, key, tools)
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if arg_type:
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return arg_type
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# Auto-detect type from value (best effort)
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first_chars = self._current_value.strip()[:10] if self._current_value else ""
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if first_chars:
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first_char = first_chars[0]
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if first_char.isdigit() or first_char in ["-", "."]:
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return "number"
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elif first_char in ["{", "["]:
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return "object"
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return "string"
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def _format_value_complete(self, value: str, value_type: str) -> str:
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"""Format complete value based on type.
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Args:
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value: Raw value string
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value_type: Expected type ('string', 'number', 'object')
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Returns:
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Properly formatted JSON value string
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"""
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if value_type == "string":
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# Ensure proper JSON string formatting with quotes
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return json.dumps(value, ensure_ascii=False)
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elif value_type == "number":
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try:
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num = _convert_to_number(value.strip())
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return str(num)
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except (ValueError, AttributeError):
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# Fallback to string if not a valid number
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logger.warning(
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f"Failed to parse '{value}' as number, treating as string"
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)
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return json.dumps(str(value), ensure_ascii=False)
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else:
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# For object/array types, return as-is (should already be valid JSON)
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return value
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def _process_xml_to_json_streaming(
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self, raw_increment: str, func_name: str, tools: List[Tool]
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) -> str:
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"""Convert XML increment to JSON streaming output using state machine.
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This method processes XML fragments character by character and converts them
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to JSON format incrementally. It maintains state across calls to handle
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partial XML tags and values.
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Args:
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raw_increment: New XML content to process
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func_name: Name of the function being called
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tools: List of available tools for type inference
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Returns:
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JSON string increment to append to the output
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"""
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json_output = ""
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for char in raw_increment:
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self._xml_tag_buffer += char
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if self._stream_state in [StreamState.INIT, StreamState.BETWEEN]:
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if self._xml_tag_buffer.endswith("<arg_key>"):
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self._stream_state = StreamState.IN_KEY
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self._current_key = ""
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self._xml_tag_buffer = ""
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json_output += "{" if self._is_first_param else ", "
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self._is_first_param = False
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elif self._stream_state == StreamState.IN_KEY:
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if self._xml_tag_buffer.endswith("</arg_key>"):
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self._current_key = self._xml_tag_buffer[:-10].strip()
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self._xml_tag_buffer = ""
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self._stream_state = StreamState.WAITING_VALUE
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json_output += (
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json.dumps(self._current_key, ensure_ascii=False) + ": "
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)
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elif self._stream_state == StreamState.WAITING_VALUE:
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if self._xml_tag_buffer.endswith("<arg_value>"):
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self._stream_state = StreamState.IN_VALUE
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self._current_value = ""
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self._xml_tag_buffer = ""
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self._value_started = False
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# Determine and cache the value type at the start
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self._cached_value_type = self._get_value_type(
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func_name, self._current_key, tools
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)
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elif self._stream_state == StreamState.IN_VALUE:
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if self._xml_tag_buffer.endswith("</arg_value>"):
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final_value = self._xml_tag_buffer[:-12]
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self._current_value += final_value
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# Use cached value type for consistency
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value_type = self._cached_value_type or "string"
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if self._value_started:
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# Output any remaining content
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if final_value:
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if value_type == "string":
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json_output += json.dumps(
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final_value, ensure_ascii=False
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)[1:-1]
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else:
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json_output += final_value
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# Always output closing quote for string type when value was started
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if value_type == "string":
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json_output += '"'
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else:
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# Value was never started (empty or complete in one chunk)
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json_output += self._format_value_complete(
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self._current_value, value_type
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)
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self._xml_tag_buffer = ""
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self._stream_state = StreamState.BETWEEN
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self._current_value = ""
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self._value_started = False
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self._cached_value_type = None # Reset cached type
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else:
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closing_tag = "</arg_value>"
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is_potential_closing = len(self._xml_tag_buffer) <= len(
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closing_tag
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) and closing_tag.startswith(self._xml_tag_buffer)
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if not is_potential_closing:
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content = self._xml_tag_buffer
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# Use cached value type for consistency
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value_type = self._cached_value_type or "string"
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if value_type == "string":
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if not self._value_started:
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json_output += '"'
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self._value_started = True
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if content:
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json_output += json.dumps(content, ensure_ascii=False)[
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1:-1
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]
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self._current_value += content
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self._xml_tag_buffer = ""
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elif value_type == "number":
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if content:
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if not self._value_started:
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self._value_started = True
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json_output += content
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self._current_value += content
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self._xml_tag_buffer = ""
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else:
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# For object/array types, output as-is
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if content:
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if not self._value_started:
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self._value_started = True
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json_output += content
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self._current_value += content
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self._xml_tag_buffer = ""
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return json_output
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def parse_streaming_increment(
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self, new_text: str, tools: List[Tool]
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) -> StreamingParseResult:
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"""
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Streaming incremental parsing tool calls for GLM-4.5 and GLM-4.6 format.
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Uses a state machine to convert XML to JSON incrementally for true character-by-character streaming.
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Outputs JSON increments immediately as XML data arrives.
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"""
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self._buffer += new_text
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current_text = self._buffer
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# Check if we have a tool call
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has_tool_call = self.bot_token in current_text
|
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if not has_tool_call:
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# Check if buffer could be the start of a tool call
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# Keep buffer if it could be a partial match of bot_token
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is_potential_start = any(
|
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self.bot_token.startswith(current_text[-i:])
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for i in range(1, min(len(current_text), len(self.bot_token)) + 1)
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)
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if not is_potential_start:
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# Not a potential tool call, return as normal text
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# Must return the entire buffer (current_text), not just new_text,
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# because buffer may contain previously accumulated characters like '<'
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# that turned out not to be part of a tool call
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output_text = current_text
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self._buffer = ""
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if self.eot_token in output_text:
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output_text = output_text.replace(self.eot_token, "")
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return StreamingParseResult(normal_text=output_text)
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else:
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# Could be start of tool call, keep buffering
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return StreamingParseResult(normal_text="", calls=[])
|
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if not hasattr(self, "_tool_indices"):
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self._tool_indices = self._get_tool_indices(tools)
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calls: list[ToolCallItem] = []
|
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try:
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# Try to match a partial or complete tool call
|
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partial_match = re.search(
|
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pattern=r"<tool_call>(.*?)(<arg_key>.*?)?(</tool_call>|$)",
|
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string=current_text,
|
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flags=re.DOTALL,
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)
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if partial_match:
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func_name = partial_match.group(1).strip()
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func_args_raw = partial_match.group(2).strip()
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is_tool_end = partial_match.group(3)
|
||||
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# Initialize state if this is the first tool call
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if self.current_tool_id == -1:
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self.current_tool_id = 0
|
||||
self.prev_tool_call_arr = []
|
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self.streamed_args_for_tool = [""]
|
||||
self._streamed_raw_length = 0
|
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self.current_tool_name_sent = False
|
||||
self._reset_streaming_state()
|
||||
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||||
# Ensure we have enough entries in our tracking arrays
|
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while len(self.prev_tool_call_arr) <= self.current_tool_id:
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||||
self.prev_tool_call_arr.append({})
|
||||
while len(self.streamed_args_for_tool) <= self.current_tool_id:
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self.streamed_args_for_tool.append("")
|
||||
|
||||
# Send tool name first if not sent yet
|
||||
if not self.current_tool_name_sent:
|
||||
assert func_name, "func_name should not be empty"
|
||||
calls.append(
|
||||
ToolCallItem(
|
||||
tool_index=self.current_tool_id,
|
||||
name=func_name,
|
||||
parameters="",
|
||||
)
|
||||
)
|
||||
self.current_tool_name_sent = True
|
||||
self._streamed_raw_length = 0
|
||||
self._reset_streaming_state()
|
||||
# Store the tool call info
|
||||
self.prev_tool_call_arr[self.current_tool_id] = {
|
||||
"name": func_name,
|
||||
"arguments": {},
|
||||
}
|
||||
else:
|
||||
# Process XML to JSON streaming
|
||||
current_raw_length = len(func_args_raw)
|
||||
|
||||
if current_raw_length > self._streamed_raw_length:
|
||||
# Get the new raw XML content
|
||||
raw_increment = func_args_raw[self._streamed_raw_length :]
|
||||
|
||||
# Convert XML increment to JSON increment using state machine
|
||||
json_increment = self._process_xml_to_json_streaming(
|
||||
raw_increment, func_name, tools
|
||||
)
|
||||
|
||||
if json_increment:
|
||||
calls.append(
|
||||
ToolCallItem(
|
||||
tool_index=self.current_tool_id,
|
||||
name=None,
|
||||
parameters=json_increment,
|
||||
)
|
||||
)
|
||||
self._last_arguments += json_increment
|
||||
self.streamed_args_for_tool[
|
||||
self.current_tool_id
|
||||
] += json_increment
|
||||
|
||||
# Update the streamed length
|
||||
self._streamed_raw_length = current_raw_length
|
||||
|
||||
if is_tool_end == self.eot_token:
|
||||
if self._is_first_param:
|
||||
empty_object = "{}"
|
||||
calls.append(
|
||||
ToolCallItem(
|
||||
tool_index=self.current_tool_id,
|
||||
name=None,
|
||||
parameters=empty_object,
|
||||
)
|
||||
)
|
||||
self._last_arguments += empty_object
|
||||
elif not self._last_arguments.endswith("}"):
|
||||
closing_brace = "}"
|
||||
calls.append(
|
||||
ToolCallItem(
|
||||
tool_index=self.current_tool_id,
|
||||
name=None,
|
||||
parameters=closing_brace,
|
||||
)
|
||||
)
|
||||
self._last_arguments += closing_brace
|
||||
self.streamed_args_for_tool[
|
||||
self.current_tool_id
|
||||
] += closing_brace
|
||||
|
||||
try:
|
||||
pairs = self.func_arg_regex.findall(func_args_raw)
|
||||
if pairs:
|
||||
arguments = self._parse_argument_pairs(
|
||||
pairs, func_name, tools
|
||||
)
|
||||
self.prev_tool_call_arr[self.current_tool_id][
|
||||
"arguments"
|
||||
] = arguments
|
||||
except Exception as e:
|
||||
logger.debug(
|
||||
f"Failed to parse arguments: {e}", exc_info=True
|
||||
)
|
||||
|
||||
# Remove the completed tool call from buffer
|
||||
self._buffer = current_text[partial_match.end(3) :]
|
||||
|
||||
result = StreamingParseResult(normal_text="", calls=calls)
|
||||
self.current_tool_id += 1
|
||||
self._last_arguments = ""
|
||||
self.current_tool_name_sent = False
|
||||
self._streamed_raw_length = 0
|
||||
self._reset_streaming_state()
|
||||
return result
|
||||
|
||||
return StreamingParseResult(normal_text="", calls=calls)
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Error in parse_streaming_increment: {e}", exc_info=True)
|
||||
return StreamingParseResult(normal_text=current_text)
|
||||
|
||||
def _parse_argument_pairs(
|
||||
self, pairs: List[Tuple[str, str]], func_name: str, tools: List[Tool]
|
||||
) -> Dict[str, Any]:
|
||||
"""Parse argument key-value pairs with type coercion.
|
||||
|
||||
Args:
|
||||
pairs: List of (key, value) tuples from regex matching
|
||||
func_name: Name of the function
|
||||
tools: List of available tools
|
||||
|
||||
Returns:
|
||||
Dictionary of parsed arguments
|
||||
"""
|
||||
arguments = {}
|
||||
for arg_key, arg_value in pairs:
|
||||
arg_key = arg_key.strip()
|
||||
arg_value = arg_value.strip()
|
||||
arg_type = get_argument_type(func_name, arg_key, tools)
|
||||
parsed_value, is_good_json = parse_arguments(arg_value, arg_type)
|
||||
|
||||
if arg_type == "string":
|
||||
# Only convert to string if explicitly defined as string type
|
||||
if isinstance(parsed_value, str):
|
||||
arguments[arg_key] = parsed_value
|
||||
elif isinstance(parsed_value, (dict, list)):
|
||||
# If parsed as dict/list but schema says string, convert to JSON string
|
||||
arguments[arg_key] = json.dumps(parsed_value, ensure_ascii=False)
|
||||
else:
|
||||
arguments[arg_key] = str(parsed_value)
|
||||
elif arg_type is None:
|
||||
# If type is not defined, keep the parsed value as-is
|
||||
arguments[arg_key] = parsed_value if is_good_json else arg_value
|
||||
else:
|
||||
# For other types (number, object, array, etc.), use parsed value
|
||||
arguments[arg_key] = parsed_value if is_good_json else arg_value
|
||||
|
||||
return arguments
|
||||
|
||||
def supports_structural_tag(self) -> bool:
|
||||
return False
|
||||
|
||||
def structure_info(self) -> _GetInfoFunc:
|
||||
raise NotImplementedError()
|
||||
@@ -43,9 +43,12 @@ def get_argument_type(
|
||||
if func_name not in name2tool:
|
||||
return None
|
||||
tool = name2tool[func_name]
|
||||
if arg_key not in tool.function.parameters["properties"]:
|
||||
properties = (tool.function.parameters or {}).get("properties", {})
|
||||
if not isinstance(properties, dict):
|
||||
properties = {}
|
||||
if arg_key not in properties:
|
||||
return None
|
||||
return tool.function.parameters["properties"][arg_key].get("type", None)
|
||||
return properties[arg_key].get("type", None)
|
||||
|
||||
|
||||
def _convert_to_number(value: str) -> Any:
|
||||
|
||||
@@ -12,7 +12,7 @@
|
||||
# limitations under the License.
|
||||
# ==============================================================================
|
||||
|
||||
"""Inference-only GLM-4.5, GLM-4.6 model compatible with HuggingFace weights"""
|
||||
"""Inference-only GLM-4.5, GLM-4.6 and GLM-4.7 model compatible with HuggingFace weights"""
|
||||
|
||||
import logging
|
||||
from typing import Any, Dict, Iterable, List, Optional, Tuple, Union
|
||||
|
||||
Reference in New Issue
Block a user