From dc857cbff784b4f5cf73f1024b1bdc6fa68b9932 Mon Sep 17 00:00:00 2001 From: zhaoxi Date: Fri, 10 Apr 2026 23:17:06 +0800 Subject: [PATCH] =?UTF-8?q?wip:=E4=BC=98=E5=8C=96individual=EF=BC=8C?= =?UTF-8?q?=E5=8A=A0=E4=BA=86=E5=9F=BA=E6=9C=AC=E7=9A=84=E5=90=AF=E5=8A=A8?= =?UTF-8?q?=E9=A1=B5=E9=9D=A2?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- Makefile | 2 + config/config.yml | 1 + main.py | 7 + .../adapter/model_adapter/_agent_factory.py | 49 - pretor/adapter/model_adapter/agent_factory.py | 62 + .../adapter/model_adapter/provider_manager.py | 54 - .../global_state_machine.py | 2 - .../model_provider/base_provider.py | 1 + .../consciousness_node/consciousness_node.py | 142 +- .../individual/consciousness_node/response.py | 34 - .../individual/consciousness_node/template.py | 64 + .../individual/control_node/response.py} | 0 .../supervisory_node/supervisory_node.py | 114 +- .../{response.py => template.py} | 6 + pretor/core/protocol/demand_protocol.py | 38 - pretor/core/protocol/runnable_object.py | 26 - pretor/utils/banner.py | 25 + pretor/utils/pickle.py | 11 +- pyproject.toml | 3 + uv.lock | 1567 +++++++++++++++++ 20 files changed, 1950 insertions(+), 258 deletions(-) create mode 100644 Makefile create mode 100644 config/config.yml delete mode 100644 pretor/adapter/model_adapter/_agent_factory.py create mode 100644 pretor/adapter/model_adapter/agent_factory.py delete mode 100644 pretor/adapter/model_adapter/provider_manager.py delete mode 100644 pretor/core/individual/consciousness_node/response.py create mode 100644 pretor/core/individual/consciousness_node/template.py rename pretor/{adapter/model_adapter/model_adapter.md => core/individual/control_node/response.py} (100%) rename pretor/core/individual/supervisory_node/{response.py => template.py} (89%) delete mode 100644 pretor/core/protocol/demand_protocol.py delete mode 100644 pretor/core/protocol/runnable_object.py create mode 100644 pretor/utils/banner.py diff --git a/Makefile b/Makefile new file mode 100644 index 0000000..3ae3acf --- /dev/null +++ b/Makefile @@ -0,0 +1,2 @@ +run: + uv run main.py \ No newline at end of file diff --git a/config/config.yml b/config/config.yml new file mode 100644 index 0000000..f5743bc --- /dev/null +++ b/config/config.yml @@ -0,0 +1 @@ +version: v0.1 \ No newline at end of file diff --git a/main.py b/main.py index e69de29..3fe6436 100644 --- a/main.py +++ b/main.py @@ -0,0 +1,7 @@ +from pretor.utils.banner import print_banner + +def main(): + print_banner() + +if __name__ == '__main__': + main() \ No newline at end of file diff --git a/pretor/adapter/model_adapter/_agent_factory.py b/pretor/adapter/model_adapter/_agent_factory.py deleted file mode 100644 index 2d37d81..0000000 --- a/pretor/adapter/model_adapter/_agent_factory.py +++ /dev/null @@ -1,49 +0,0 @@ -# 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.models.openai import OpenAIChatModel -from pydantic_ai.models.google import GoogleModel -from pydantic_ai.models.anthropic import AnthropicModel -from pydantic_ai.providers.openai import OpenAIProvider -from pydantic_ai.providers.google import GoogleProvider -from pydantic_ai.providers.anthropic import AnthropicProvider -from pathlib import Path - -class AgentFactory: - def __init__(self): - self._models_mapping = {"openai": (OpenAIChatModel, OpenAIProvider), "gemini": (GoogleModel, GoogleProvider), "claude": (AnthropicModel, AnthropicProvider)} - - def _load_agent_protocol(self): - pass - - def create_model(self, protocol_name: str, api_key: str, url: str | None, model_id: str): - """ - 创建agent的模型对象 - - Args: - protocol_name: 协议名称，如openai,gemini等，应当为_model_mapping的键 - api_key: api调用令牌 - url: api调用的url - model_id: 模型名 - - Returns: - 应当返回一个可以作为Agent类model参数的对象 - - Raises: - 当protocol_name在_models_mapping中不存在，抛出ValueError错误 - """ - if protocol_name not in self._models_mapping: - raise ValueError(f"不支持的协议类型: {protocol_name}") - model_class, provider_class = self._models_mapping[protocol_name] - return model_class(model_id, provider_class(api_key = api_key, url = url)) \ No newline at end of file diff --git a/pretor/adapter/model_adapter/agent_factory.py b/pretor/adapter/model_adapter/agent_factory.py new file mode 100644 index 0000000..c18347f --- /dev/null +++ b/pretor/adapter/model_adapter/agent_factory.py @@ -0,0 +1,62 @@ +# 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.google import GoogleModel +from pydantic_ai.models.anthropic import AnthropicModel +from pydantic_ai.providers.openai import OpenAIProvider +from pydantic_ai.providers.google import GoogleProvider +from pydantic_ai.providers.anthropic import AnthropicProvider +from pretor.core.global_state_machine.model_provider import Provider +from pretor.utils.agent_model import ResponseModel, DepsModel +from pretor.utils.error import ModelNotExistError + +class AgentFactory: + def __init__(self): + self._models_mapping = {"openai": (OpenAIChatModel, OpenAIProvider), "gemini": (GoogleModel, GoogleProvider), "claude": (AnthropicModel, AnthropicProvider)} + + def create_agent(self, + provider: Provider, + model_id: str, + output_type: ResponseModel, + system_prompt: str, + deps_type: DepsModel, + agent_name: str) -> 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 + + 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_class(api_key=provider.api_key, url=provider.url)) + agent = Agent(model=model, + name=agent_name, + system_prompt=system_prompt, + output_type=output_type, + deps_type=deps_type) + return agent \ No newline at end of file diff --git a/pretor/adapter/model_adapter/provider_manager.py b/pretor/adapter/model_adapter/provider_manager.py deleted file mode 100644 index 440a9ab..0000000 --- a/pretor/adapter/model_adapter/provider_manager.py +++ /dev/null @@ -1,54 +0,0 @@ - - - - # 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. - -def create_agent(self, agent_name: str, - system_prompt: str, - provider_title: str, - model_id: str, - output_type: ResponseModel, - deps_type: DepsModel) -> Agent: - """ - create_agent方法，将保存的适配器转化为agent对象并返回 - - Args: - agent_name: agent名字，代表实例化个体起的名字 - system_prompt: 系统提示词，给llm的系统提示词 - provider_title: 供应商名称 - model_id: 模型Id，实例化agent所输入的model_id - output_type: 输出格式，实例化agent后，对应llm所应当输出的格式 - deps_type: 依赖格式，输入llm的格式 - Returns: - 一个pydanticAI的Agent对象，包含对应的apikey,url,model_id等信息，应当挂载到individual类的agent属性下 - Raises: - ProviderNotExistError 当在provider_register属性里找不到供应商的自定义名称时抛出 - ModelNotExistError 在获取的provider的模型列表中找不到输入的model_id抛出 - """ - if provider_title not in self.provider_register: - raise ProviderNotExistError("提供商不存在") - provider = self.provider_register[provider_title] - if model_id not in provider.provider_models: - raise ModelNotExistError("模型不存在") - model = self._agent_factory.create_model(provider.provider_type, - provider.provider_apikey, - provider.provider_url, - model_id) - agent = Agent(model=model, - name=agent_name, - system_prompt=system_prompt, - output_type=output_type, - deps_type=deps_type) - return agent diff --git a/pretor/core/global_state_machine/global_state_machine.py b/pretor/core/global_state_machine/global_state_machine.py index 6f0b17f..ca59e45 100644 --- a/pretor/core/global_state_machine/global_state_machine.py +++ b/pretor/core/global_state_machine/global_state_machine.py @@ -21,10 +21,8 @@ from typing import Dict, Literal from pretor.core.database.postgres import PostgresDatabase from pretor.api.platform.event import PretorEvent import asyncio - from pretor.core.workflow.workflow import PretorWorkflow - @ray.remote class GlobalStateMachine: def __init__(self, postgres_database: PostgresDatabase): diff --git a/pretor/core/global_state_machine/model_provider/base_provider.py b/pretor/core/global_state_machine/model_provider/base_provider.py index 4b46241..61d7872 100644 --- a/pretor/core/global_state_machine/model_provider/base_provider.py +++ b/pretor/core/global_state_machine/model_provider/base_provider.py @@ -16,6 +16,7 @@ from abc import ABC, abstractmethod from pydantic import BaseModel from typing import List from enum import Enum + class ProviderStatus(Enum, str): UP = "up" DOWN = "down" diff --git a/pretor/core/individual/consciousness_node/consciousness_node.py b/pretor/core/individual/consciousness_node/consciousness_node.py index 83ec78c..bd25673 100644 --- a/pretor/core/individual/consciousness_node/consciousness_node.py +++ b/pretor/core/individual/consciousness_node/consciousness_node.py @@ -13,42 +13,124 @@ # limitations under the License. import ray -from pydantic_ai import Agent -from pretor.core.workflow.workflow import PretorWorkflow, WorkStep, WorkerGroup +from typing import Union, overload +from pretor.core.individual.consciousness_node.template import (ConsciousnessNodeDeps, ForSupervisoryNode, ForWorkflow,\ + ForWorkflowEngine, ForWorkflowInput, ForSupervisoryInput, ForWorkflowEngineInput) +from pydantic_ai import Agent, RunContext +from pretor.core.global_state_machine.global_state_machine import GlobalStateMachine +from pretor.core.global_state_machine.model_provider.base_provider import Provider +from pretor.adapter.model_adapter.agent_factory import AgentFactory @ray.remote class ConsciousnessNode: - def __init__(self, agent: Agent): - self.agent = agent + def __init__(self) -> None: + self.agent: None | Agent = None - async def generate_workflow(self, template: dict, task_description: str) -> PretorWorkflow: - prompt = f"Given the template {template} and task '{task_description}', generate a list of actionable steps." - # Simulated parsing logic: in a real implementation we would parse structured output from the agent - # response = await self.agent.run(prompt) + @self.agent.system_prompt + async def dynamic_prompt(ctx: RunContext[ConsciousnessNodeDeps]): + return f"Context: original_command: {ctx.deps.original_command}, workflow_template: {ctx.deps.workflow_template}" - wg = WorkerGroup( - name="default_squad", - primary_individual={"coder": 1}, - composite_individual={} - ) + def create_agent(self, global_state_machine: GlobalStateMachine, provider_title: str, model_id: str) -> None: + """ + create_agent方法，将agent对象装配到ConsciousnessNode的属性内 + 该方法通过provider_title从global_state_machine中获取provider对象，然后从provider对象中取出供应商形象，装配为pydantic_ai的 + Agent实例， + 并挂载到self.agent属性 + Args: + global_state_machine: 全局状态机 + provider_title: 供应商名 + model_id: 模型id - steps = [ - WorkStep(step=1, node="consciousness_node", action="analyze", desc="Analyze task details: " + task_description), - WorkStep(step=2, node="control_node", action="execute", desc="Execute default execution logic", input=["1"]) - ] + Returns: + 无返回 + """ + system_prompt: str = "" + output_type = Union[ForSupervisoryNode, ForWorkflow, ForWorkflowEngine] + provider: Provider = global_state_machine.get_provider.remote(provider_title) + agent_factory = AgentFactory() + self.agent = agent_factory.create_agent(provider=provider, + model_id=model_id, + output_type=output_type, + system_prompt=system_prompt, + deps_type=ConsciousnessNodeDeps, + agent_name="consciousness_node") - return PretorWorkflow( - title=f"Workflow for {task_description[:10]}", - workgroup_list=[wg], - work_link=steps - ) + async def running(self, payload: Union[ForWorkflowEngineInput, ForWorkflowInput, ForSupervisoryInput]) -> str: + result: Union[ForWorkflowEngine, ForWorkflow, ForSupervisoryNode] = await self._run(payload) + if isinstance(result, ForWorkflowEngine): + return result - async def check_task(self, task_status: dict) -> bool: - if task_status.get("status") == "completed": - return True - return False + elif isinstance(result, ForWorkflow): + return result - async def process_complex_transaction(self, transaction_data: dict) -> dict: - prompt = f"Process the following complex transaction data and extract key entities: {transaction_data}" - result = await self.agent.run(prompt) - return {"processed": True, "analysis": result.data} + elif isinstance(result, ForSupervisoryInput): + return result + + else: + return None + + @overload + async def _run(self, payload: ForWorkflowEngineInput) -> ForWorkflowEngine: + """ + _run方法 + 该分支应当在supervisory_node简单处理用户命令后，工作流创建前调用！ + Args: + payload: 应当包含workflow_template和event对象 + + Returns: + ForWorkflowEngine对象，将被放到全局状态机后丢入WorkflowEngine的异步队列 + """ + pass + + @overload + async def _run(self, payload: ForWorkflow) -> ForWorkflow: + """ + _run方法 + 该分支应当在workflow运行时，由WorkflowEngine进行调用！ + Args: + payload: 应当包含workflow中的WorkStep对象 + + Returns: + ForWorkflow对象，作为ConsciousnessNode执行Workflow中的WorkStep的结果 + """ + pass + + @overload + async def _run(self, payload: ForSupervisoryInput) -> ForSupervisoryNode: + """ + _run方法 + 该分支应当在workflow运行完全结束后，由WorkflowEngine进行调用！ + Args: + payload: 应当包含整个Workflow的情况 + + Returns: + ForSupervisory对象，作为ConsciousnessNode对于全工作流的技术性总结，返回给SupervisoryNode + """ + pass + + async def _run(self, payload: Union[ForSupervisoryInput, ForWorkflowInput, ForWorkflowEngineInput])\ + -> Union[ForSupervisoryNode, ForWorkflow, ForWorkflowEngine]: + + if isinstance(payload, ForWorkflowEngineInput): + deps = ConsciousnessNodeDeps(original_command=payload.original_command, + workflow_template=payload.workflow_template, + command="拆解原始命令变成一个工作流") + result = await self.agent.run(f"根据original_command制定workflow，可以学习workflow_template", + deps=deps, + output_type=ForWorkflowEngine,) + return result.output + elif isinstance(payload, ForWorkflowInput): + deps = ConsciousnessNodeDeps(original_command=payload.original_command, + command="完成workflowstep的任务") + result = await self.agent.run(payload.workflow_step.model_dump_json(), + deps=deps, + output_type=ForWorkflow) + return result.output + elif isinstance(payload, ForSupervisoryInput): + deps = ConsciousnessNodeDeps(original_command=payload.original_command, + command="对于结果进行检查，并且生成一份技术性的总结报告") + result = await self.agent.run(payload.workflow.model_dump_json(), + deps=deps, + output_type=ForSupervisoryNode) + return result.output + return None \ No newline at end of file diff --git a/pretor/core/individual/consciousness_node/response.py b/pretor/core/individual/consciousness_node/response.py deleted file mode 100644 index dcae9ae..0000000 --- a/pretor/core/individual/consciousness_node/response.py +++ /dev/null @@ -1,34 +0,0 @@ -# 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 import Field -from pretor.core.workflow.workflow import PretorWorkflow -from pretor.utils.agent_model import ResponseModel, DepsModel - -class ConsciousnessNodeResponse(ResponseModel): - pass - -class ForControlNode(ConsciousnessNodeResponse): - - -class ForSystem(ConsciousnessNodeResponse): - workflow: PretorWorkflow - -class ForSupervisoryNode(ConsciousnessNodeResponse): - pass - -class SupervisoryNodeDeps(DepsModel): - platform: str - user_name: str - time: str \ No newline at end of file diff --git a/pretor/core/individual/consciousness_node/template.py b/pretor/core/individual/consciousness_node/template.py new file mode 100644 index 0000000..1cdec15 --- /dev/null +++ b/pretor/core/individual/consciousness_node/template.py @@ -0,0 +1,64 @@ +# 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 import BaseModel + +from pretor.core.workflow.workflow import PretorWorkflow, WorkStep +from pretor.utils.agent_model import ResponseModel, DepsModel + + +#意识节点回复类 +class ConsciousnessNodeResponse(ResponseModel): + """Consciousness response model,是意识节点所有回复类型的父类""" + pass + + +class ForWorkflowEngine(ConsciousnessNodeResponse): + """生成workflow并放入WorkflowEngine""" + workflow: PretorWorkflow + + +class ForWorkflow(ConsciousnessNodeResponse): + """处理workflow中需要ConsciousnessNode的工作""" + output: str + + +class ForSupervisoryNode(ConsciousnessNodeResponse): + """工作流完成后进行校验并返回给SupervisoryNode""" + output: str + + +class ConsciousnessNodeDeps(DepsModel): + original_command: str + workflow_template: str | None = None + command: str + + +class ConsciousnessNodeInput(BaseModel): + pass + + +class ForWorkflowEngineInput(ConsciousnessNodeInput): + workflow_template: str + original_command: str + + +class ForWorkflowInput(ConsciousnessNodeInput): + workflow_step: WorkStep + original_command: str + + +class ForSupervisoryInput(ConsciousnessNodeInput): + workflow: PretorWorkflow + original_command: str \ No newline at end of file diff --git a/pretor/adapter/model_adapter/model_adapter.md b/pretor/core/individual/control_node/response.py similarity index 100% rename from pretor/adapter/model_adapter/model_adapter.md rename to pretor/core/individual/control_node/response.py diff --git a/pretor/core/individual/supervisory_node/supervisory_node.py b/pretor/core/individual/supervisory_node/supervisory_node.py index 4733b15..5a28248 100644 --- a/pretor/core/individual/supervisory_node/supervisory_node.py +++ b/pretor/core/individual/supervisory_node/supervisory_node.py @@ -14,39 +14,111 @@ import datetime import ray -from typing import Union +from typing import Union, overload from pretor.api.platform.event import PretorEvent - -from pretor.core.individual.supervisory_node.response import ForConsciousnessNode, ForUser, SupervisoryNodeDeps -from pydantic_ai import RunContext +from pretor.adapter.model_adapter.agent_factory import AgentFactory +from pretor.core.global_state_machine.global_state_machine import GlobalStateMachine +from pretor.core.global_state_machine.model_provider import Provider +from pretor.core.individual.supervisory_node.template import ForConsciousnessNode, ForUser, SupervisoryNodeDeps, TerminationMessage +from pydantic_ai import RunContext, Agent @ray.remote class SupervisoryNode: - def __init__(self, provider_manager: ProviderManager, provider_title: str, model_id: str) -> None: + def __init__(self) -> None: + self.agent: None | Agent = None + + async def create_agent(self, global_state_machine: GlobalStateMachine, provider_title: str, model_id: str) -> None: + """ + create_agent方法，将agent对象装配到SupervisoryNode的属性内 + 该方法通过provider_title从global_state_machine中获取provider对象，然后从provider对象中取出供应商形象，装配为pydantic_ai的Agent实例， + 并挂载到self.agent属性 + Args: + global_state_machine: 全局状态机 + provider_title: 供应商名 + model_id: 模型id + + Returns: + 无返回 + """ system_prompt: str = "" output_type = Union[ForConsciousnessNode, ForUser] - self.agent = provider_manager.create_agent(agent_name="supervisory", - system_prompt=system_prompt, - provider_title=provider_title, - model_id=model_id, - output_type=output_type, - deps_type=SupervisoryNodeDeps) + provider: Provider = await global_state_machine.get_provider.remote(provider_title) + agent_factory = AgentFactory() + self.agent = agent_factory.create_agent(provider=provider, + model_id=model_id, + output_type=output_type, + system_prompt=system_prompt, + deps_type=SupervisoryNodeDeps, + agent_name="supervisory_node") @self.agent.system_prompt async def dynamic_prompt(ctx: RunContext[SupervisoryNodeDeps]): return f"Context: Platform={ctx.deps.platform}, User={ctx.deps.user_name}, Time={ctx.deps.time}" - async def working(self, event: PretorEvent): - deps = SupervisoryNodeDeps(platform=event.platform, - user_name=event.user_name, - time=datetime.datetime.now()) - result = await self.agent.run(event.message,deps=deps) - if isinstance(result.data, ForConsciousnessNode): + ###工作函数 + async def working(self, payload: Union[PretorEvent, TerminationMessage]) -> str: + """ + working方法，是节点唯一的调用方法，对于_run函数的结果进行判断并实现最终回复 + Args: + payload: 消息载荷，包含所有信息 + + Returns: + str,监控节点对于用户的回复 + """ + result = await self._run(payload) + if isinstance(result, ForConsciousnessNode): + return "任务已创建" - elif isinstance(result.date, ForUser): - return result.data.content + + elif isinstance(result, ForUser): + return result.content + else: return "未知响应类型" - async def router(self, ): - pass \ No newline at end of file + @overload + async def _run(self, payload: PretorEvent) -> Union[ForConsciousnessNode, ForUser]: + """ + _run方法 + Args: + payload: PretorEvent的实例，是用户输入时对于消息的封装 + + Returns: + ForUser对象，监控节点对于用户进行的简单回答 + ForConsciousnessNode对象，监控节点将用户的请求判断为复杂任务，将PretorEvent传递给意识节点，并且给选择好的工作流模板 + """ + pass + + @overload + async def _run(self, payload: TerminationMessage) -> ForUser: + """ + _run方法 + Args: + payload: Termination的实例，是工作流结束后到达监控节点的最后结果 + + Returns: + ForUser对象，工作流结束后给用户的返回 + """ + pass + + async def _run(self, payload: Union[PretorEvent, TerminationMessage]) -> Union[ForConsciousnessNode, ForUser]: + """ + _run方法，将payload转化为对llm发送的消息并发送 + Args: + payload: 消息载荷 + + Returns: + ForConsciousnessNode对象，对意识节点发送的消息 + ForUser对象，对用户发送到消息 + """ + if isinstance(payload, PretorEvent): + deps = SupervisoryNodeDeps(platform=payload.platform, + user_name=payload.user_name, + time=datetime.datetime.now()) + result = await self.agent.run(payload.message, deps=deps) + else: + deps = SupervisoryNodeDeps(platform=payload.platform, + user_name=payload.user_name, + time=datetime.datetime.now()) + result = await self.agent.run(payload.message, deps=deps) + return result.output \ No newline at end of file diff --git a/pretor/core/individual/supervisory_node/response.py b/pretor/core/individual/supervisory_node/template.py similarity index 89% rename from pretor/core/individual/supervisory_node/response.py rename to pretor/core/individual/supervisory_node/template.py index 1f6a717..5ca0146 100644 --- a/pretor/core/individual/supervisory_node/response.py +++ b/pretor/core/individual/supervisory_node/template.py @@ -14,6 +14,7 @@ from pydantic import Field from pretor.utils.agent_model import ResponseModel, DepsModel +from pydantic import BaseModel class SupervisoryNodeResponse(ResponseModel): pass @@ -24,6 +25,11 @@ class ForUser(SupervisoryNodeResponse): class ForConsciousnessNode(SupervisoryNodeResponse): workflow_template: str = Field(..., description="选择的工作流模板，应当为对应模板的name字段") +class TerminationMessage(BaseModel): + platform: str + user_name: str + message: str + class SupervisoryNodeDeps(DepsModel): platform: str user_name: str diff --git a/pretor/core/protocol/demand_protocol.py b/pretor/core/protocol/demand_protocol.py deleted file mode 100644 index 75aad56..0000000 --- a/pretor/core/protocol/demand_protocol.py +++ /dev/null @@ -1,38 +0,0 @@ -# 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 typing import List, Optional, Union, Dict, Any, Literal -from pydantic import BaseModel, Field - -# --- 1. 给 Individual (LLM/Agent) 的具体需求 --- -class IndividualDemand(BaseModel): - role_prompt: str = Field(..., description="赋予该个体的角色定义") - task_goal: str = Field(..., description="该个体的具体执行目标") - expected_output: str = Field(..., description="期望产出的数据结构或格式描述") - -# --- 2. 给 Tool (插件/函数调用) 的具体需求 --- -class ToolDemand(BaseModel): - method: str = Field(..., description="插件调用的具体方法名") - args: Dict[str, Any] = Field(default_factory=dict, description="传递给插件的参数") - -# --- 3. 给 System (系统/物理资源) 的具体需求 --- -class SystemDemand(BaseModel): - operation: Literal["allocate_resource", "docker_manage", "file_io", "network"] - params: Dict[str, Any] = Field(..., description="操作所需的物理参数，如 GPU 核心数、路径等") - -# --- 4. 统一需求入口 (裁判官协议体) --- -class DemandProtocol(BaseModel): - variety: Literal["individual", "tool", "system"] - name: str = Field(..., description="目标名称（如：python_expert, pytest_tool, docker_engine）") - content: Union[IndividualDemand, ToolDemand, SystemDemand] = Field(..., description="需求的具体参数细节") \ No newline at end of file diff --git a/pretor/core/protocol/runnable_object.py b/pretor/core/protocol/runnable_object.py deleted file mode 100644 index 1167148..0000000 --- a/pretor/core/protocol/runnable_object.py +++ /dev/null @@ -1,26 +0,0 @@ -# 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 abc import ABC,abstractmethod -from pretor.core.workflow.workflow import PretorWorkflow - - -class RunnableObject(ABC): - @abstractmethod - def __init__(self, **kwargs): - pass - - @abstractmethod - async def run(self, workflow: PretorWorkflow) -> None: - pass \ No newline at end of file diff --git a/pretor/utils/banner.py b/pretor/utils/banner.py new file mode 100644 index 0000000..5c7472b --- /dev/null +++ b/pretor/utils/banner.py @@ -0,0 +1,25 @@ +from rich.console import Console +from rich.text import Text +import yaml +def print_banner() -> None: + with open("config/config.yml","r") as config: + config = yaml.load(config, Loader=yaml.FullLoader) + version = config.get("version", "unknown") + pretor_banner = """ +██████╗ ██████╗ ███████╗████████╗ ██████╗ ██████╗ +██╔══██╗██╔══██╗██╔════╝╚══██╔══╝██╔═══██╗██╔══██╗ +██████╔╝██████╔╝█████╗ ██║ ██║ ██║██████╔╝ +██╔═══╝ ██╔══██╗██╔══╝ ██║ ██║ ██║██╔══██╗ +██║ ██║ ██║███████╗ ██║ ╚██████╔╝██║ ██║ +╚═╝ ╚═╝ ╚═╝╚══════╝ ╚═╝ ╚═════╝ ╚═╝ ╚═╝ +""" + console = Console() + banner_colored = Text(pretor_banner, style="gold3 bold") + console.print(banner_colored) + console.print("=" * 40, style="dim") # dim=灰色，低调 + console.print("🚀 Multi-Agent Orchestration Platform", style="blue") + console.print(f"📦 Version: {version}", style="green") + console.print(f"👤 Author: zhaoxi826", style="yellow") + console.print(f"📜 License: Apache 2.0", style="magenta") + console.print(f"🐙 github: https://github.com/zhaoxi826/pretor", style="yellow") + console.print("=" * 40, style="dim") diff --git a/pretor/utils/pickle.py b/pretor/utils/pickle.py index d94bed3..d9db22c 100644 --- a/pretor/utils/pickle.py +++ b/pretor/utils/pickle.py @@ -19,16 +19,19 @@ T = TypeVar("T", bound=Type[BaseModel]) def pickle(cls: T) -> T: """ - 这是一个类装饰器，用来接管 Pydantic 对象的 Pickle 序列化流程。 - 它强迫 Pickle 使用 Pydantic 经过 Rust 优化的 JSON 导出/导入逻辑。 + 类装饰器pickle + 通过装饰继承了BaseModel的类，用pydantic的高效序列化替代python原生__reduce__魔术方法,实现ray在通讯时的高效序列化 + Args: + cls: 继承了BaseModel类的类，需要被装饰的对象 + + Returns: + 返回被重写了__reduce__魔术方法的cls类 """ def __reduce__(self): # 1. 序列化：触发 Pydantic-core (Rust) 的极速序列化 data = self.model_dump_json() # 2. 反序列化：告诉 Pickle 重建时调用 cls.model_validate_json return cls.model_validate_json, (data,) - - # 动态把这个魔术方法“缝”到类上 cls.__reduce__ = __reduce__ return cls diff --git a/pyproject.toml b/pyproject.toml index d0a3801..c49e300 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -13,9 +13,12 @@ dependencies = [ "loguru>=0.7.3", "passlib[bcrypt]>=1.7.4", "pydantic-ai>=1.73.0", + "pyfiglet>=1.0.4", "pytest>=9.0.3", "python-ulid>=3.1.0", "ray[default,serve]>=2.54.0", + "rich>=14.3.3", "sqlmodel>=0.0.37", "types-docutils==0.22.3.20260408", + "vllm>=0.11.0", ] diff --git a/uv.lock b/uv.lock index 780a8e2..29268af 100644 --- a/uv.lock +++ b/uv.lock @@ -1,6 +1,10 @@ version = 1 revision = 3 requires-python = ">=3.13" 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