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SmeltCountTool — MCP entry point for smelt count.

SmeltCountTool

Bases: AXMTool

Count tokens in text/data.

Registered as smelt_count via axm.tools entry point.

Source code in packages/axm-smelt/src/axm_smelt/tools/count.py
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class SmeltCountTool(AXMTool):
    """Count tokens in text/data.

    Registered as ``smelt_count`` via axm.tools entry point.
    """

    agent_hint: str = (
        "Count tokens in text or data using a specified tiktoken model — "
        "returns token count without modifying input"
    )

    @property
    def name(self) -> str:
        """Return tool name for registry lookup."""
        return "smelt_count"

    def execute(
        self,
        *,
        data: str | Any = "",
        model: str = "o200k_base",
        **kwargs: Any,
    ) -> ToolResult:
        """Count tokens in data.

        Args:
            data: Text or data to count tokens for.
            model: Tiktoken model name.

        Returns:
            ToolResult with token count and model used.
        """
        try:
            if data is None:
                msg = "data must not be None"
                raise ValueError(msg)

            if not isinstance(data, str):
                data = json.dumps(data)

            from axm_smelt.core.counter import count

            tokens = count(data, model=model)

            return ToolResult(
                success=True,
                data={
                    "tokens": tokens,
                    "model": model,
                },
            )
        except Exception as exc:  # noqa: BLE001
            return ToolResult(success=False, error=str(exc))
name property

Return tool name for registry lookup.

execute(*, data='', model='o200k_base', **kwargs)

Count tokens in data.

Parameters:

Name Type Description Default
data str | Any

Text or data to count tokens for.

 ''
model str

Tiktoken model name.

 'o200k_base'

Returns:

Type Description
ToolResult

ToolResult with token count and model used.
Source code in packages/axm-smelt/src/axm_smelt/tools/count.py
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def execute(
    self,
    *,
    data: str | Any = "",
    model: str = "o200k_base",
    **kwargs: Any,
) -> ToolResult:
    """Count tokens in data.

    Args:
        data: Text or data to count tokens for.
        model: Tiktoken model name.

    Returns:
        ToolResult with token count and model used.
    """
    try:
        if data is None:
            msg = "data must not be None"
            raise ValueError(msg)

        if not isinstance(data, str):
            data = json.dumps(data)

        from axm_smelt.core.counter import count

        tokens = count(data, model=model)

        return ToolResult(
            success=True,
            data={
                "tokens": tokens,
                "model": model,
            },
        )
    except Exception as exc:  # noqa: BLE001
        return ToolResult(success=False, error=str(exc))