default_tool_chunk_parser() — langchain Function Reference

Architecture documentation for the default_tool_chunk_parser() function in tool.py from the langchain codebase.

Function python CoreAbstractions MessageSchema calls 1

Entity Profile

CoreAbstractions→ MessageSchema→ default_tool_chunk_parser() — langchain Function Reference

Dependency Diagram

graph TD
  429e0c2c_748e_3b96_8be3_c5b27f01d3b0["default_tool_chunk_parser()"]
  210f83c5_4be3_e20e_b877_98a194178520["tool.py"]
  429e0c2c_748e_3b96_8be3_c5b27f01d3b0 -->|defined in| 210f83c5_4be3_e20e_b877_98a194178520
  ca240eca_eed5_eb55_5e92_d17218108c68["tool_call_chunk()"]
  429e0c2c_748e_3b96_8be3_c5b27f01d3b0 -->|calls| ca240eca_eed5_eb55_5e92_d17218108c68
  style 429e0c2c_748e_3b96_8be3_c5b27f01d3b0 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/core/langchain_core/messages/tool.py lines 386–410

def default_tool_chunk_parser(raw_tool_calls: list[dict]) -> list[ToolCallChunk]:
    """Best-effort parsing of tool chunks.

    Args:
        raw_tool_calls: List of raw tool call dicts to parse.

    Returns:
        List of parsed ToolCallChunk objects.
    """
    tool_call_chunks = []
    for tool_call in raw_tool_calls:
        if "function" not in tool_call:
            function_args = None
            function_name = None
        else:
            function_args = tool_call["function"]["arguments"]
            function_name = tool_call["function"]["name"]
        parsed = tool_call_chunk(
            name=function_name,
            args=function_args,
            id=tool_call.get("id"),
            index=tool_call.get("index"),
        )
        tool_call_chunks.append(parsed)
    return tool_call_chunks