chore: initial commit for Pretor v0.1.0-alpha
正式发布 Pretor 平台的首个 alpha 版本。本项目旨在构建一个基于分布式架构的多智能体协同工作流水线。 核心功能实现： 1. 建立基于 BaseIndividual 的动态插件加载机制。 2. 实现三类核心 worker_individual 子个体。 3. 集成 Ray 框架支持分布式集群调度。 4. 基于 PostgreSQL 的全量持久化存储方案。 5. 提供完整的 FastAPI 后端与 React 前端交互界面。
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# Copyright 2026 zhaoxi826
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from typing import Union
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from pretor.utils.ray_hook import ray_actor_hook
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from fastapi import APIRouter, Depends
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from pydantic import BaseModel
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from pretor.utils.access import Accessor, TokenData
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from pretor.core.database.table.individual import AgentType
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from fastapi import HTTPException
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from typing import Optional, List, Dict
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from pretor.utils.check_user.role_check import RoleChecker
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from pretor.core.database.table.user import UserAuthority
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agent_router = APIRouter(prefix="/api/v1/agent", tags=["agent"])
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class AgentRegister(BaseModel):
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provider_title: str
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model_id: str
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individual_name: str
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tools: Optional[List[str]] = None
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class AgentLocalRegister(BaseModel):
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path: str
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individual_name: str
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tools: Optional[List[str]] = None
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@agent_router.get("")
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async def get_system_nodes(_: TokenData = Depends(RoleChecker(allowed_roles=UserAuthority.USER))):
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postgres_database = ray_actor_hook("postgres_database").postgres_database
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configs = await postgres_database.get_all_system_node_configs.remote()
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return {"system_nodes": configs}
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@agent_router.post("")
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async def load_agent(agent_register: Union[AgentRegister, AgentLocalRegister],
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_: TokenData = Depends(RoleChecker(allowed_roles=UserAuthority.USER))):
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global_state_machine = ray_actor_hook("global_state_machine").global_state_machine
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postgres_database = ray_actor_hook("postgres_database").postgres_database
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if isinstance(agent_register, AgentLocalRegister):
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pass
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elif isinstance(agent_register, AgentRegister):
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try:
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# Persist configuration
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await postgres_database.upsert_system_node_config.remote(
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agent_register.individual_name,
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agent_register.provider_title,
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agent_register.model_id,
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agent_register.tools
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)
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# Load agent into state machine
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match agent_register.individual_name:
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case "supervisory_node":
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node = ray_actor_hook("supervisory_node").supervisory_node
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await node.create_agent.remote(global_state_machine,agent_register.provider_title,agent_register.model_id, agent_register.tools)
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case "consciousness_node":
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node = ray_actor_hook("consciousness_node").consciousness_node
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await node.create_agent.remote(global_state_machine,agent_register.provider_title,agent_register.model_id, agent_register.tools)
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case "control_node":
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node = ray_actor_hook("control_node").control_node
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await node.create_agent.remote(global_state_machine,agent_register.provider_title,agent_register.model_id, agent_register.tools)
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case _:
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pass
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except Exception as e:
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raise HTTPException(status_code=500, detail=f"加载节点失败: {str(e)}")
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return {"message": "创建成功"}
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class WorkerIndividualCreate(BaseModel):
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agent_name: str
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agent_type: AgentType
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description: str
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provider_title: str
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model_id: str
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system_prompt: str
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output_template: dict
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bound_skill: Dict[str, List[str]]
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workspace: List[str]
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tools: Optional[List[str]] = None
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class WorkerIndividualUpdate(BaseModel):
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agent_name: Optional[str] = None
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agent_type: Optional[AgentType] = None
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description: Optional[str] = None
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provider_title: Optional[str] = None
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model_id: Optional[str] = None
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system_prompt: Optional[str] = None
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output_template: Optional[dict] = None
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bound_skill: Optional[Dict[str, List[str]]] = None
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workspace: Optional[List[str]] = None
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tools: Optional[List[str]] = None
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@agent_router.post("/worker")
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async def create_worker_individual(worker_data: WorkerIndividualCreate,
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token_data: TokenData = Depends(RoleChecker(allowed_roles=UserAuthority.USER))):
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postgres_database = ray_actor_hook("postgres_database").postgres_database
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data_dict = worker_data.model_dump()
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data_dict["owner_id"] = token_data.user_id
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worker = await postgres_database.add_worker_individual.remote( **data_dict)
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return {"message": "success", "agent_id": worker.agent_id}
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@agent_router.get("/worker")
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async def get_worker_individual_list(token_data: TokenData = Depends(Accessor.get_current_user)):
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postgres_database = ray_actor_hook("postgres_database").postgres_database
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workers = await postgres_database.get_worker_individual_list.remote( owner_id=token_data.user_id)
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return {"workers": workers}
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@agent_router.get("/worker/{agent_id}")
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async def get_worker_individual(agent_id: str,
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token_data: TokenData = Depends(Accessor.get_current_user)):
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postgres_database = ray_actor_hook("postgres_database").postgres_database
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worker = await postgres_database.get_worker_individual.remote( agent_id=agent_id)
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if not worker:
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raise HTTPException(status_code=404, detail="Agent not found")
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if worker.owner_id != token_data.user_id:
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raise HTTPException(status_code=403, detail="Forbidden: You do not own this agent")
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return worker
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@agent_router.put("/worker/{agent_id}")
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async def update_worker_individual(agent_id: str,
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worker_data: WorkerIndividualUpdate,
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token_data: TokenData = Depends(Accessor.get_current_user)):
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postgres_database = ray_actor_hook("postgres_database").postgres_database
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worker = await postgres_database.get_worker_individual.remote( agent_id=agent_id)
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if not worker:
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raise HTTPException(status_code=404, detail="Agent not found")
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if worker.owner_id != token_data.user_id:
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raise HTTPException(status_code=403, detail="Forbidden: You do not own this agent")
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update_data = worker_data.model_dump(exclude_unset=True)
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updated_worker = await postgres_database.update_worker_individual.remote( agent_id=agent_id, **update_data)
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global_state_machine = ray_actor_hook("global_state_machine").global_state_machine
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try:
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await global_state_machine.remove_individual.remote(agent_id)
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except Exception:
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pass
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return {"message": "success", "worker": updated_worker}
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@agent_router.post("/worker/{agent_id}/reload")
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async def reload_worker_individual(agent_id: str, token_data: TokenData = Depends(Accessor.get_current_user)):
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postgres_database = ray_actor_hook("postgres_database").postgres_database
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worker = await postgres_database.get_worker_individual.remote(agent_id=agent_id)
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if not worker:
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raise HTTPException(status_code=404, detail="Agent not found")
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if worker.owner_id != token_data.user_id:
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raise HTTPException(status_code=403, detail="Forbidden: You do not own this agent")
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global_state_machine = ray_actor_hook("global_state_machine").global_state_machine
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await global_state_machine.remove_individual.remote(agent_id)
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return {"message": "Worker will be reloaded on next use"}
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@agent_router.delete("/worker/{agent_id}")
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async def delete_worker_individual(agent_id: str,
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token_data: TokenData = Depends(Accessor.get_current_user)):
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postgres_database = ray_actor_hook("postgres_database").postgres_database
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worker = await postgres_database.get_worker_individual.remote( agent_id=agent_id)
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if not worker:
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raise HTTPException(status_code=404, detail="Agent not found")
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if worker.owner_id != token_data.user_id:
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raise HTTPException(status_code=403, detail="Forbidden: You do not own this agent")
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await postgres_database.delete_worker_individual.remote( agent_id=agent_id)
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return {"message": "success"}
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