Method to_call_args

src/agents/function_schema.py:44–76

Converts validated data from the Pydantic model into (args, kwargs), suitable for calling the original function.

(self, data: BaseModel)

    as it increases the likelihood of correct JSON input."""

    def to_call_args(self, data: BaseModel) -> tuple[list[Any], dict[str, Any]]:
        """
        Converts validated data from the Pydantic model into (args, kwargs), suitable for calling
        the original function.
        """
        positional_args: list[Any] = []
        keyword_args: dict[str, Any] = {}
        seen_var_positional = False

        # Use enumerate() so we can skip the first parameter if it's context.
        for idx, (name, param) in enumerate(self.signature.parameters.items()):
            # If the function takes a RunContextWrapper and this is the first parameter, skip it.
            if self.takes_context and idx == 0:
                continue

            value = getattr(data, name, None)
            if param.kind == param.VAR_POSITIONAL:
                # e.g. *args: extend positional args and mark that *args is now seen
                positional_args.extend(value or [])
                seen_var_positional = True
            elif param.kind == param.VAR_KEYWORD:
                # e.g. **kwargs handling
                keyword_args.update(value or {})
            elif param.kind in (param.POSITIONAL_ONLY, param.POSITIONAL_OR_KEYWORD):
                # Before *args, add to positional args. After *args, add to keyword args.
                if not seen_var_positional:
                    positional_args.append(value)
                else:
                    keyword_args[name] = value
            else:
                # For KEYWORD_ONLY parameters, always use keyword args.
                keyword_args[name] = value
        return positional_args, keyword_args


@dataclass