#  Copyright 2026 zhaoxi826
#
#  Licensed under the Apache License, Version 2.0 (the "License");
#  you may not use this file except in compliance with the License.
#  You may obtain a copy of the License at
#
#       http://www.apache.org/licenses/LICENSE-2.0
#
#  Unless required by applicable law or agreed to in writing, software
#  distributed under the License is distributed on an "AS IS" BASIS,
#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#  See the License for the specific language governing permissions and
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def create_agent(self, agent_name: str,
                     system_prompt: str,
                     provider_title: str,
                     model_id: str,
                     output_type: ResponseModel,
                     deps_type: DepsModel) -> Agent:
        """
        create_agent方法，将保存的适配器转化为agent对象并返回

        Args:
            agent_name: agent名字，代表实例化个体起的名字
            system_prompt: 系统提示词，给llm的系统提示词
            provider_title: 供应商名称
            model_id: 模型Id，实例化agent所输入的model_id
            output_type: 输出格式，实例化agent后，对应llm所应当输出的格式
            deps_type: 依赖格式，输入llm的格式
        Returns:
            一个pydanticAI的Agent对象，包含对应的apikey,url,model_id等信息，应当挂载到individual类的agent属性下
        Raises:
            ProviderNotExistError 当在provider_register属性里找不到供应商的自定义名称时抛出
            ModelNotExistError 在获取的provider的模型列表中找不到输入的model_id抛出
        """
        if provider_title not in self.provider_register:
            raise ProviderNotExistError("提供商不存在")
        provider = self.provider_register[provider_title]
        if model_id not in provider.provider_models:
            raise ModelNotExistError("模型不存在")
        model = self._agent_factory.create_model(provider.provider_type,
                                                 provider.provider_apikey,
                                                 provider.provider_url,
                                                 model_id)
        agent = Agent(model=model,
                      name=agent_name,
                      system_prompt=system_prompt,
                      output_type=output_type,
                      deps_type=deps_type)
        return agent