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- 更新 README 描述从后端壳子到 AI Core/Agent Core - 添加 ToolCall 和 ToolResult 数据结构定义 - 扩展 AgentRun 模型增加输出、错误码、工具调用结果等字段 - 添加 mock 提供商类型支持 - 实现聊天、代理运行、工具调用和提供商管理的核心路由逻辑 - 集成容器化依赖注入和错误处理机制 - 更新 API 接口契约和文档说明
50 lines
1.4 KiB
Python
50 lines
1.4 KiB
Python
from dataclasses import dataclass
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from app.agent import AgentRuntime, PermissionManager, PermissionPolicy, ToolRegistry
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from app.agent.builtin_tools import register_builtin_tools
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from app.contracts import ModelCapability, ProviderConfig, ProviderType
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from app.providers import MockProvider, ProviderRegistry
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@dataclass(frozen=True)
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class ApplicationContainer:
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providers: ProviderRegistry
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tools: ToolRegistry
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permissions: PermissionManager
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agent: AgentRuntime
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def build_container() -> ApplicationContainer:
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providers = ProviderRegistry()
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providers.register(
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ProviderConfig(
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provider_id="mock",
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provider_type=ProviderType.mock,
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name="Mock Provider",
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default_model="mock-1",
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enabled=True,
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capabilities=[
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ModelCapability.chat,
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ModelCapability.tool_calling,
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ModelCapability.streaming,
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],
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),
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MockProvider(),
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)
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tools = ToolRegistry()
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register_builtin_tools(tools)
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policy = PermissionPolicy()
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permissions = PermissionManager(policy)
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agent = AgentRuntime(providers=providers, tools=tools, permissions=permissions)
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return ApplicationContainer(
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providers=providers,
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tools=tools,
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permissions=permissions,
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agent=agent,
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)
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container = build_container()
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