Files
aiagent/backend/app/agent_runtime/schemas.py
renjianbo 09467568ec feat: Agent 运行时、对话 API、作业助手与引擎修复及前端执行超时
- agent_runtime 模块与 agent_chat API,前端 AgentChat 视图与路由对接
- workflow_engine: code 节点命名空间与 json 引用修复
- llm_service: 工具调用 extra_body(如 DeepSeek)
- create_homework_manager_agent / _3 脚本与测试脚本扩展
- frontend: WORKFLOW_EXECUTION_HTTP_TIMEOUT_MS、AgentChatPreview/MainLayout 等
- 文档:架构说明与自主 Agent 改造完成情况

Made-with: Cursor
2026-05-01 11:31:48 +08:00

65 lines
2.1 KiB
Python

"""
Agent Runtime 配置与数据结构 Schema
"""
from __future__ import annotations
from typing import Any, Dict, List, Optional
from pydantic import BaseModel, Field
class AgentToolConfig(BaseModel):
"""Agent 可用工具配置"""
# 若为空列表则使用全部已注册工具
include_tools: List[str] = Field(default_factory=list, description="允许的工具名称白名单")
exclude_tools: List[str] = Field(default_factory=list, description="排除的工具名称黑名单")
class AgentMemoryConfig(BaseModel):
"""Agent 记忆配置"""
enabled: bool = True
max_history_messages: int = 20 # 注入 LLM 的上文最大消息数
session_key: Optional[str] = None # 会话标识,默认自动生成
persist_to_db: bool = True # 是否写入 MySQL 长期记忆
class AgentLLMConfig(BaseModel):
"""Agent 模型配置"""
provider: str = "openai" # openai / deepseek
model: str = "gpt-4o-mini"
temperature: float = 0.7
max_tokens: Optional[int] = None
api_key: Optional[str] = None
base_url: Optional[str] = None
max_iterations: int = 10 # ReAct 循环最大步数
request_timeout: float = 120.0
extra_body: Optional[Dict[str, Any]] = None
class AgentConfig(BaseModel):
"""Agent 完整配置"""
name: str = "default_agent"
system_prompt: str = "你是一个有用的AI助手。请使用可用工具来帮助用户完成任务。"
llm: AgentLLMConfig = Field(default_factory=AgentLLMConfig)
tools: AgentToolConfig = Field(default_factory=AgentToolConfig)
memory: AgentMemoryConfig = Field(default_factory=AgentMemoryConfig)
user_id: Optional[str] = None
class AgentMessage(BaseModel):
"""Agent 对话消息"""
role: str # user / assistant / tool
content: str
tool_calls: Optional[List[Dict[str, Any]]] = None
tool_call_id: Optional[str] = None
name: Optional[str] = None
class AgentResult(BaseModel):
"""Agent 执行结果"""
success: bool = True
content: str = ""
truncated: bool = False
iterations_used: int = 0
tool_calls_made: int = 0
error: Optional[str] = None