style: 项目重构

1.项目改名为kilostar（千星） 2.后端部分进行大规模重构 3.node功能进行大规模重新设计
2026-05-11 15:29:16 +00:00
parent 2d8571dee3
commit ee9bbbf676
134 changed files with 2190 additions and 2503 deletions
@@ -0,0 +1,93 @@
+#  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
+#  limitations under the License.
+
+from pydantic_ai import Agent
+from pydantic_ai.models.openai import OpenAIChatModel
+from pydantic_ai.models.anthropic import AnthropicModel
+from pydantic_ai.providers.openai import OpenAIProvider
+from pydantic_ai.providers.anthropic import AnthropicProvider
+from kilostar.adapter.model_adapter.deepseek_reasoner import DeepSeekReasonerAgent
+from kilostar.core.global_state_machine.model_provider import Provider
+from kilostar.utils.agent_model import ResponseModel, DepsModel
+from kilostar.utils.error import ModelNotExistError
+
+
+class AgentFactory:
+    """AgentFactory 核心组件类。
+    这是一个领域数据模型或功能封装类，承载了 AgentFactory 相关的内聚属性定义与状态维护。它的存在隔离了局部的业务复杂性，并对外提供了类型安全的访问接口。"""
+
+    def __init__(self):
+        self._models_mapping = {
+            "openai": (OpenAIChatModel, OpenAIProvider),
+            "claude": (AnthropicModel, AnthropicProvider),
+            "deepseek": (OpenAIChatModel, OpenAIProvider),
+        }
+
+    def create_agent(
+        self,
+        provider: Provider,
+        model_id: str,
+        output_type: ResponseModel,
+        system_prompt: str,
+        deps_type: DepsModel,
+        agent_name: str,
+        tools: list = None,
+    ) -> Agent:
+        """
+            create_agent方法，将输入的provider对象实例化为一个pydantic-ai的agent对象
+
+        Args:
+            provider: Provider对象，从global_state_machine中获取
+            model_id: 模型名
+            output_type: 输出格式
+            system_prompt: 系统提示词
+            deps_type: 依赖类型，在agent运行时动态输入的格式化消息
+            agent_name: agent的名字
+            tools: 工具列表
+
+        Returns:
+            返回被实例化的pydantic-ai的Agent对象
+        """
+        if model_id not in provider.provider_models:
+            raise ModelNotExistError("模型不存在")
+        if provider.provider_type not in self._models_mapping:
+            raise ValueError(f"不支持的协议类型: {provider.provider_type}")
+        model_class, provider_class = self._models_mapping[provider.provider_type]
+        model = model_class(
+            model_id,
+            provider=provider_class(
+                api_key=provider.provider_apikey, base_url=provider.provider_url
+            ),
+        )
+        match provider.provider_type:
+            case "deepseek":
+                agent = DeepSeekReasonerAgent(
+                    model=model,
+                    name=agent_name,
+                    output_type=output_type,
+                    deps_type=deps_type,
+                    system_prompt=system_prompt,
+                    tools=tools,
+                    retries=3,
+                )
+            case _:
+                agent = Agent(
+                    model=model,
+                    name=agent_name,
+                    system_prompt=system_prompt,
+                    output_type=output_type,
+                    deps_type=deps_type,
+                    tools=tools,
+                )
+        return agent