- agent_runtime: orchestrator、core/memory/schemas 调整 - agent_monitoring API、service、agent_llm_log 模型与 database 注册 - 前端 AgentDashboard、AgentConfig、Agents/MainLayout/路由与 AgentChat - 文档:(红头)项目核心文档汇总、自主AI Agent改造完成情况、AI agent改造计划 Made-with: Cursor
46 lines
1.1 KiB
Python
46 lines
1.1 KiB
Python
"""
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Agent Runtime — 自主 AI Agent 核心运行时。
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提供 ReAct 循环驱动的自主 Agent,支持:
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- 工具调用(复用已有 ToolRegistry)
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- 分层记忆(工作记忆 + 长期记忆)
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- 多模型(OpenAI / DeepSeek)
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- 多 Agent 编排(路由/顺序/辩论)
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- 可嵌入工作流节点或独立运行
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"""
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from app.agent_runtime.core import AgentRuntime
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from app.agent_runtime.schemas import (
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AgentConfig,
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AgentResult,
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AgentLLMConfig,
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AgentToolConfig,
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AgentMemoryConfig,
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AgentStep,
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)
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from app.agent_runtime.context import AgentContext
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from app.agent_runtime.memory import AgentMemory
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from app.agent_runtime.tool_manager import AgentToolManager
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from app.agent_runtime.orchestrator import (
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AgentOrchestrator,
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OrchestratorAgentConfig,
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OrchestratorResult,
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OrchestratorStep,
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)
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__all__ = [
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"AgentRuntime",
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"AgentConfig",
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"AgentResult",
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"AgentLLMConfig",
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"AgentToolConfig",
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"AgentMemoryConfig",
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"AgentContext",
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"AgentMemory",
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"AgentToolManager",
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"AgentStep",
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"AgentOrchestrator",
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"OrchestratorAgentConfig",
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"OrchestratorResult",
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"OrchestratorStep",
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]
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