v1.0
This commit is contained in:
root
781
entrypoints/openai/tool_parsers/qwen3coder_tool_parser.py
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781
entrypoints/openai/tool_parsers/qwen3coder_tool_parser.py
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@@ -0,0 +1,781 @@
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# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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import ast
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import json
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import uuid
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from collections.abc import Sequence
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from typing import Any
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import regex as re
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from vllm.entrypoints.openai.protocol import (
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ChatCompletionRequest,
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ChatCompletionToolsParam,
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DeltaFunctionCall,
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DeltaMessage,
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DeltaToolCall,
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ExtractedToolCallInformation,
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FunctionCall,
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ToolCall,
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)
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from vllm.entrypoints.openai.tool_parsers.abstract_tool_parser import (
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ToolParser,
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)
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from vllm.logger import init_logger
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from vllm.transformers_utils.tokenizer import AnyTokenizer
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logger = init_logger(__name__)
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class Qwen3CoderToolParser(ToolParser):
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def __init__(self, tokenizer: AnyTokenizer):
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super().__init__(tokenizer)
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self.current_tool_name_sent: bool = False
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self.prev_tool_call_arr: list[dict] = []
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# Override base class type - we use string IDs for tool calls
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self.current_tool_id: str | None = None # type: ignore
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self.streamed_args_for_tool: list[str] = []
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# Sentinel tokens for streaming mode
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self.tool_call_start_token: str = "<tool_call>"
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self.tool_call_end_token: str = "</tool_call>"
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self.tool_call_prefix: str = "<function="
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self.function_end_token: str = "</function>"
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self.parameter_prefix: str = "<parameter="
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self.parameter_end_token: str = "</parameter>"
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self.is_tool_call_started: bool = False
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self.failed_count: int = 0
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# Enhanced streaming state - reset for each new message
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self._reset_streaming_state()
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# Regex patterns
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self.tool_call_complete_regex = re.compile(
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r"<tool_call>(.*?)</tool_call>", re.DOTALL
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)
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self.tool_call_regex = re.compile(
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r"<tool_call>(.*?)</tool_call>|<tool_call>(.*?)$", re.DOTALL
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)
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self.tool_call_function_regex = re.compile(
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r"<function=(.*?)</function>|<function=(.*)$", re.DOTALL
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)
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self.tool_call_parameter_regex = re.compile(
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r"<parameter=(.*?)(?:</parameter>|(?=<parameter=)|(?=</function>)|$)",
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re.DOTALL,
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)
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if not self.model_tokenizer:
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raise ValueError(
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"The model tokenizer must be passed to the ToolParser "
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"constructor during construction."
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)
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self.tool_call_start_token_id = self.vocab.get(self.tool_call_start_token)
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self.tool_call_end_token_id = self.vocab.get(self.tool_call_end_token)
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if self.tool_call_start_token_id is None or self.tool_call_end_token_id is None:
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raise RuntimeError(
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"Qwen3 XML Tool parser could not locate tool call start/end "
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"tokens in the tokenizer!"
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)
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logger.info(
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"vLLM Successfully import tool parser %s !", self.__class__.__name__
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)
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def _generate_tool_call_id(self) -> str:
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"""Generate a unique tool call ID."""
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return f"call_{uuid.uuid4().hex[:24]}"
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def _reset_streaming_state(self):
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"""Reset all streaming state."""
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self.current_tool_index = 0
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self.is_tool_call_started = False
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self.header_sent = False
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self.current_tool_id = None
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self.current_function_name = None
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self.current_param_name = None
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self.current_param_value = ""
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self.param_count = 0
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self.in_param = False
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self.in_function = False
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self.accumulated_text = ""
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self.json_started = False
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self.json_closed = False
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# Store accumulated parameters for type conversion
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self.accumulated_params = {}
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self.streaming_request = None
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def _get_arguments_config(
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self, func_name: str, tools: list[ChatCompletionToolsParam] | None
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) -> dict:
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"""Extract argument configuration for a function."""
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if tools is None:
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return {}
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for config in tools:
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if not hasattr(config, "type") or not (
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hasattr(config, "function") and hasattr(config.function, "name")
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):
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continue
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if config.type == "function" and config.function.name == func_name:
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if not hasattr(config.function, "parameters"):
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return {}
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params = config.function.parameters
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if isinstance(params, dict) and "properties" in params:
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return params["properties"]
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elif isinstance(params, dict):
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return params
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else:
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return {}
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logger.warning("Tool '%s' is not defined in the tools list.", func_name)
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return {}
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def _convert_param_value(
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self, param_value: str, param_name: str, param_config: dict, func_name: str
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) -> Any:
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"""Convert parameter value based on its type in the schema."""
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# Handle null value for any type
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if param_value.lower() == "null":
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return None
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if param_name not in param_config:
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if param_config != {}:
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logger.warning(
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"Parsed parameter '%s' is not defined in the tool "
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"parameters for tool '%s', directly returning the "
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"string value.",
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param_name,
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func_name,
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)
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return param_value
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if (
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isinstance(param_config[param_name], dict)
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and "type" in param_config[param_name]
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):
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param_type = str(param_config[param_name]["type"]).strip().lower()
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else:
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param_type = "string"
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if param_type in ["string", "str", "text", "varchar", "char", "enum"]:
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return param_value
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elif (
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param_type.startswith("int")
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or param_type.startswith("uint")
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or param_type.startswith("long")
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or param_type.startswith("short")
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or param_type.startswith("unsigned")
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):
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try:
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return int(param_value)
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except (ValueError, TypeError):
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logger.warning(
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"Parsed value '%s' of parameter '%s' is not an "
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"integer in tool '%s', degenerating to string.",
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param_value,
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param_name,
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func_name,
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)
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return param_value
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elif param_type.startswith("num") or param_type.startswith("float"):
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try:
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float_param_value = float(param_value)
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return (
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float_param_value
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if float_param_value - int(float_param_value) != 0
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else int(float_param_value)
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)
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except (ValueError, TypeError):
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logger.warning(
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"Parsed value '%s' of parameter '%s' is not a float "
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"in tool '%s', degenerating to string.",
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param_value,
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param_name,
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func_name,
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)
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return param_value
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elif param_type in ["boolean", "bool", "binary"]:
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param_value = param_value.lower()
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if param_value not in ["true", "false"]:
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logger.warning(
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"Parsed value '%s' of parameter '%s' is not a boolean "
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"(`true` or `false`) in tool '%s', degenerating to "
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"false.",
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param_value,
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param_name,
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func_name,
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)
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return param_value == "true"
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else:
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if (
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param_type in ["object", "array", "arr"]
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or param_type.startswith("dict")
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or param_type.startswith("list")
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):
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try:
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param_value = json.loads(param_value)
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return param_value
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except (json.JSONDecodeError, TypeError, ValueError):
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logger.warning(
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"Parsed value '%s' of parameter '%s' cannot be "
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"parsed with json.loads in tool '%s', will try "
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"other methods to parse it.",
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param_value,
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param_name,
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func_name,
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)
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try:
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param_value = ast.literal_eval(param_value) # safer
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except (ValueError, SyntaxError, TypeError):
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logger.warning(
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"Parsed value '%s' of parameter '%s' cannot be "
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"converted via Python `ast.literal_eval()` in tool "
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"'%s', degenerating to string.",
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param_value,
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param_name,
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func_name,
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)
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return param_value
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def _parse_xml_function_call(
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self, function_call_str: str, tools: list[ChatCompletionToolsParam] | None
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) -> ToolCall | None:
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# Extract function name
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end_index = function_call_str.index(">")
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function_name = function_call_str[:end_index]
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param_config = self._get_arguments_config(function_name, tools)
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parameters = function_call_str[end_index + 1 :]
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param_dict = {}
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for match_text in self.tool_call_parameter_regex.findall(parameters):
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idx = match_text.index(">")
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param_name = match_text[:idx]
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param_value = str(match_text[idx + 1 :])
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# Remove prefix and trailing \n
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if param_value.startswith("\n"):
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param_value = param_value[1:]
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if param_value.endswith("\n"):
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param_value = param_value[:-1]
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param_dict[param_name] = self._convert_param_value(
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param_value, param_name, param_config, function_name
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)
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return ToolCall(
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type="function",
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function=FunctionCall(
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name=function_name, arguments=json.dumps(param_dict, ensure_ascii=False)
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),
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)
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def _get_function_calls(self, model_output: str) -> list[str]:
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# Find all tool calls
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matched_ranges = self.tool_call_regex.findall(model_output)
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raw_tool_calls = [
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match[0] if match[0] else match[1] for match in matched_ranges
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]
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# Back-off strategy if no tool_call tags found
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if len(raw_tool_calls) == 0:
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raw_tool_calls = [model_output]
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raw_function_calls = []
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for tool_call in raw_tool_calls:
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raw_function_calls.extend(self.tool_call_function_regex.findall(tool_call))
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function_calls = [
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match[0] if match[0] else match[1] for match in raw_function_calls
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]
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return function_calls
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def extract_tool_calls(
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self,
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model_output: str,
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request: ChatCompletionRequest,
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) -> ExtractedToolCallInformation:
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# Quick check to avoid unnecessary processing
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if self.tool_call_prefix not in model_output:
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return ExtractedToolCallInformation(
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tools_called=False, tool_calls=[], content=model_output
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)
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try:
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function_calls = self._get_function_calls(model_output)
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if len(function_calls) == 0:
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return ExtractedToolCallInformation(
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tools_called=False, tool_calls=[], content=model_output
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)
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tool_calls = [
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self._parse_xml_function_call(function_call_str, request.tools)
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for function_call_str in function_calls
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]
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# Populate prev_tool_call_arr for serving layer to set finish_reason
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self.prev_tool_call_arr.clear() # Clear previous calls
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for tool_call in tool_calls:
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if tool_call:
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self.prev_tool_call_arr.append(
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{
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"name": tool_call.function.name,
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"arguments": tool_call.function.arguments,
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}
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)
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# Extract content before tool calls
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content_index = model_output.find(self.tool_call_start_token)
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idx = model_output.find(self.tool_call_prefix)
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content_index = content_index if content_index >= 0 else idx
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content = model_output[:content_index] # .rstrip()
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return ExtractedToolCallInformation(
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tools_called=(len(tool_calls) > 0),
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tool_calls=tool_calls,
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content=content if content else None,
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)
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except Exception:
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logger.exception("Error in extracting tool call from response.")
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return ExtractedToolCallInformation(
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tools_called=False, tool_calls=[], content=model_output
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)
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def extract_tool_calls_streaming(
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self,
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previous_text: str,
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current_text: str,
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delta_text: str,
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previous_token_ids: Sequence[int],
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current_token_ids: Sequence[int],
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delta_token_ids: Sequence[int],
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request: ChatCompletionRequest,
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) -> DeltaMessage | None:
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# Store request for type conversion
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if not previous_text:
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self._reset_streaming_state()
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self.streaming_request = request
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# If no delta text, return None unless it's an EOS token after tools
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if not delta_text:
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# Check if this is an EOS token after all tool calls are complete
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# Check for tool calls in text even if is_tool_call_started
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# is False (might have been reset after processing all tools)
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if delta_token_ids and self.tool_call_end_token_id not in delta_token_ids:
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# Count complete tool calls
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complete_calls = len(
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self.tool_call_complete_regex.findall(current_text)
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)
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# If we have completed tool calls and populated
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# prev_tool_call_arr
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if complete_calls > 0 and len(self.prev_tool_call_arr) > 0:
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# Check if all tool calls are closed
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open_calls = current_text.count(
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self.tool_call_start_token
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) - current_text.count(self.tool_call_end_token)
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if open_calls == 0:
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# Return empty delta for 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="")
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return None
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||||
|
||||
# Update accumulated text
|
||||
self.accumulated_text = current_text
|
||||
|
||||
# Check if we need to advance to next tool
|
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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
|
||||
self.accumulated_params = {}
|
||||
|
||||
# Check if there are more tool calls
|
||||
tool_starts = current_text.count(self.tool_call_start_token)
|
||||
if self.current_tool_index >= tool_starts:
|
||||
# No more tool calls
|
||||
self.is_tool_call_started = False
|
||||
# Continue processing next tool
|
||||
return None
|
||||
|
||||
# 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
|
||||
tool_start_positions: list[int] = []
|
||||
idx = 0
|
||||
while True:
|
||||
idx = current_text.find(self.tool_call_start_token, idx)
|
||||
if idx == -1:
|
||||
break
|
||||
tool_start_positions.append(idx)
|
||||
idx += len(self.tool_call_start_token)
|
||||
|
||||
if self.current_tool_index >= len(tool_start_positions):
|
||||
# No more tool calls to process yet
|
||||
return None
|
||||
|
||||
tool_start_idx = tool_start_positions[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()
|
||||
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 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,
|
||||
self.streaming_request.tools
|
||||
if self.streaming_request
|
||||
else None,
|
||||
)
|
||||
if parsed_tool:
|
||||
# Update existing entry in
|
||||
# prev_tool_call_arr with complete args
|
||||
for i, tool in enumerate(self.prev_tool_call_arr):
|
||||
if tool.get("name") == parsed_tool.function.name:
|
||||
args = parsed_tool.function.arguments
|
||||
self.prev_tool_call_arr[i]["arguments"] = args
|
||||
break
|
||||
except Exception:
|
||||
pass # Ignore parsing errors during streaming
|
||||
|
||||
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
|
||||
self.accumulated_params = {}
|
||||
|
||||
return result
|
||||
|
||||
# Look for parameters
|
||||
# Find all 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)
|
||||
|
||||
# Check if we should start a new parameter
|
||||
if (
|
||||
not self.in_param
|
||||
and self.param_count < len(param_starts)
|
||||
and 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:
|
||||
# No closing tag, look for next parameter or
|
||||
# function end
|
||||
next_param_idx = value_text.find(self.parameter_prefix)
|
||||
func_end_idx = value_text.find(self.function_end_token)
|
||||
|
||||
if next_param_idx != -1 and (
|
||||
func_end_idx == -1 or next_param_idx < func_end_idx
|
||||
):
|
||||
param_end_idx = next_param_idx
|
||||
elif func_end_idx != -1:
|
||||
param_end_idx = func_end_idx
|
||||
else:
|
||||
# Neither found, check if tool call is complete
|
||||
if self.tool_call_end_token in tool_text:
|
||||
# Tool call is complete, so parameter
|
||||
# must be complete too. Use all
|
||||
# remaining text before function end
|
||||
param_end_idx = len(value_text)
|
||||
else:
|
||||
# Still streaming, wait for more content
|
||||
return None
|
||||
|
||||
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]
|
||||
|
||||
# Store raw value for later processing
|
||||
self.accumulated_params[self.current_param_name] = param_value
|
||||
|
||||
# Get parameter configuration for type conversion
|
||||
param_config = self._get_arguments_config(
|
||||
self.current_function_name or "",
|
||||
self.streaming_request.tools
|
||||
if self.streaming_request
|
||||
else None,
|
||||
)
|
||||
|
||||
# Convert param value to appropriate type
|
||||
converted_value = self._convert_param_value(
|
||||
param_value,
|
||||
self.current_param_name,
|
||||
param_config,
|
||||
self.current_function_name or "",
|
||||
)
|
||||
|
||||
# Build JSON fragment based on the converted type
|
||||
# Use json.dumps to properly serialize the value
|
||||
serialized_value = json.dumps(
|
||||
converted_value, ensure_ascii=False
|
||||
)
|
||||
|
||||
if self.param_count == 0:
|
||||
json_fragment = (
|
||||
f'"{self.current_param_name}": {serialized_value}'
|
||||
)
|
||||
else:
|
||||
json_fragment = (
|
||||
f', "{self.current_param_name}": {serialized_value}'
|
||||
)
|
||||
|
||||
self.param_count += 1
|
||||
|
||||
return DeltaMessage(
|
||||
tool_calls=[
|
||||
DeltaToolCall(
|
||||
index=self.current_tool_index,
|
||||
function=DeltaFunctionCall(arguments=json_fragment),
|
||||
)
|
||||
]
|
||||
)
|
||||
|
||||
# Continue parameter value - Not used in the current implementation
|
||||
# since we process complete parameters above
|
||||
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:]
|
||||
|
||||
# Store complete value
|
||||
full_value = self.current_param_value + value_chunk
|
||||
self.accumulated_params[self.current_param_name] = full_value
|
||||
|
||||
# Get parameter configuration for type conversion
|
||||
param_config = self._get_arguments_config(
|
||||
self.current_function_name or "",
|
||||
self.streaming_request.tools
|
||||
if self.streaming_request
|
||||
else None,
|
||||
)
|
||||
|
||||
# Convert the parameter value to the appropriate type
|
||||
converted_value = self._convert_param_value(
|
||||
full_value,
|
||||
self.current_param_name or "",
|
||||
param_config,
|
||||
self.current_function_name or "",
|
||||
)
|
||||
|
||||
# Serialize the converted value
|
||||
serialized_value = json.dumps(converted_value, ensure_ascii=False)
|
||||
|
||||
# Since we've been streaming the quoted version,
|
||||
# we need to close it properly
|
||||
# This is complex - for now just complete the value
|
||||
self.in_param = False
|
||||
self.current_param_value = ""
|
||||
|
||||
# Just close the current parameter string
|
||||
return DeltaMessage(
|
||||
tool_calls=[
|
||||
DeltaToolCall(
|
||||
index=self.current_tool_index,
|
||||
function=DeltaFunctionCall(
|
||||
arguments='"'
|
||||
), # Close the string quote
|
||||
)
|
||||
]
|
||||
)
|
||||
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, ensure_ascii=False)[
|
||||
1:-1
|
||||
]
|
||||
if self.current_param_value
|
||||
else ""
|
||||
)
|
||||
self.current_param_value += value_chunk
|
||||
full_escaped = json.dumps(
|
||||
self.current_param_value, ensure_ascii=False
|
||||
)[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
|
||||
Reference in New Issue
Block a user