maga_transformer/openai/renderers/qwen_agent/llm/base.py [75:122]:
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        generate_cfg = merge_generate_cfgs(base_generate_cfg=self.generate_cfg, new_generate_cfg=extra_generate_cfg)
        if 'lang' in generate_cfg:
            lang: Literal['en', 'zh'] = generate_cfg.pop('lang')
        else:
            lang: Literal['en', 'zh'] = 'zh' if has_chinese_messages(messages) else 'en'

        messages = copy.deepcopy(messages)

        _return_message_type = 'dict'
        new_messages = []
        for msg in messages:
            if isinstance(msg, dict):
                new_messages.append(Message(**msg))
            else:
                new_messages.append(msg)
                _return_message_type = 'message'
        messages = new_messages

        if messages[0].role != SYSTEM:
            messages = [Message(role=SYSTEM, content=DEFAULT_SYSTEM_MESSAGE)] + messages

        # Not precise. It's hard to estimate tokens related with function calling and multimodal items.
        messages = _truncate_input_messages_roughly(
            messages=messages,
            max_tokens=generate_cfg.pop('max_input_tokens', DEFAULT_MAX_INPUT_TOKENS),
        )

        messages = self._preprocess_messages(messages, lang=lang)

        if 'function_choice' in generate_cfg:
            fn_choice = generate_cfg['function_choice']
            valid_fn_choices = [f.get('name', f.get('name_for_model', None)) for f in (functions or [])]
            valid_fn_choices = ['auto', 'none'] + [f for f in valid_fn_choices if f]
            if fn_choice not in valid_fn_choices:
                raise ValueError(f'The value of function_choice must be one of the following: {valid_fn_choices}. '
                                 f'But function_choice="{fn_choice}" is received.')
            if fn_choice == 'auto':
                del generate_cfg['function_choice']
            if fn_choice == 'none':
                raise NotImplementedError('Not implemented function_choice="none" yet.')  # TODO:

        if functions:
            fncall_mode = True
        else:
            fncall_mode = False
            for k in ['parallel_function_calls', 'function_choice']:
                if k in generate_cfg:
                    del generate_cfg[k]
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maga_transformer/openai/renderers/qwen_agent/llm/qwen_dashscope.py [102:149]:
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        generate_cfg = merge_generate_cfgs(base_generate_cfg=self.generate_cfg, new_generate_cfg=extra_generate_cfg)
        if 'lang' in generate_cfg:
            lang: Literal['en', 'zh'] = generate_cfg.pop('lang')
        else:
            lang: Literal['en', 'zh'] = 'zh' if has_chinese_messages(messages) else 'en'

        messages = copy.deepcopy(messages)

        _return_message_type = 'dict'
        new_messages = []
        for msg in messages:
            if isinstance(msg, dict):
                new_messages.append(Message(**msg))
            else:
                new_messages.append(msg)
                _return_message_type = 'message'
        messages = new_messages

        if messages[0].role != SYSTEM:
            messages = [Message(role=SYSTEM, content=DEFAULT_SYSTEM_MESSAGE)] + messages

        # Not precise. It's hard to estimate tokens related with function calling and multimodal items.
        messages = _truncate_input_messages_roughly(
            messages=messages,
            max_tokens=generate_cfg.pop('max_input_tokens', DEFAULT_MAX_INPUT_TOKENS),
        )

        messages = self._preprocess_messages(messages, lang=lang)

        if 'function_choice' in generate_cfg:
            fn_choice = generate_cfg['function_choice']
            valid_fn_choices = [f.get('name', f.get('name_for_model', None)) for f in (functions or [])]
            valid_fn_choices = ['auto', 'none'] + [f for f in valid_fn_choices if f]
            if fn_choice not in valid_fn_choices:
                raise ValueError(f'The value of function_choice must be one of the following: {valid_fn_choices}. '
                                 f'But function_choice="{fn_choice}" is received.')
            if fn_choice == 'auto':
                del generate_cfg['function_choice']
            if fn_choice == 'none':
                raise NotImplementedError('Not implemented function_choice="none" yet.')  # TODO:

        if functions:
            fncall_mode = True
        else:
            fncall_mode = False
            for k in ['parallel_function_calls', 'function_choice']:
                if k in generate_cfg:
                    del generate_cfg[k]
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