ff1ede47a0
* refactor: overhaul workflow and chat architecture - Separate Chat and Workflow API endpoints and database models - Use JSONB to store workflow execution context in Postgres - Convert workflow engine to use pydantic-ai execution graphs inside a Ray task - Update frontend React components to support standalone workflow creation - Remove obsolete and broken workflow runner tests Co-authored-by: zhaoxi826 <198742034+zhaoxi826@users.noreply.github.com> * refactor: overhaul workflow and chat architecture - Separate Chat and Workflow API endpoints and database models - Use JSONB to store workflow execution context in Postgres - Convert workflow engine to use pydantic-ai execution graphs inside a Ray task - Update frontend React components to support standalone workflow creation - Remove obsolete and broken workflow runner tests Co-authored-by: zhaoxi826 <198742034+zhaoxi826@users.noreply.github.com> * refactor: overhaul workflow and chat architecture - Separate Chat and Workflow API endpoints and database models - Use JSONB to store workflow execution context in Postgres - Convert workflow engine to use pydantic-ai execution graphs inside a Ray task - Update frontend React components to support standalone workflow creation - Move workflow_engine inside workflow package to keep core root clean - Remove obsolete and broken workflow runner tests Co-authored-by: zhaoxi826 <198742034+zhaoxi826@users.noreply.github.com> --------- Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com> Co-authored-by: zhaoxi826 <198742034+zhaoxi826@users.noreply.github.com>
89 lines
3.6 KiB
Python
89 lines
3.6 KiB
Python
# 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 kilostar.core.work.workflow.workflow import KiloStarWorkflow, WorkflowStep
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from kilostar.utils.agent_model import ResponseModel, DepsModel, InputModel
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from pydantic import Field
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# 意识节点回复类
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class ConsciousnessNodeResponse(ResponseModel):
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"""Consciousness response model,是意识节点所有回复类型的父类"""
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pass
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class ForWorkflowEngine(ConsciousnessNodeResponse):
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"""生成workflow并放入WorkflowEngine"""
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workflow: KiloStarWorkflow = Field(
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..., description="生成好的符合规范的完整工作流对象。"
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)
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reasoning: str = Field(..., description="生成此工作流的原因和思路简述。")
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class ForWorkflow(ConsciousnessNodeResponse):
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"""处理workflow中需要ConsciousnessNode的工作"""
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output: str = Field(..., description="对当前工作流步骤的具体处理结果或指导意见。")
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class ForregulatoryNode(ConsciousnessNodeResponse):
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"""工作流完成后进行校验并返回给regulatoryNode"""
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output: str = Field(
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..., description="为监控节点提供的全工作流执行情况的技术性总结报告。"
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)
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class ConsciousnessNodeDeps(DepsModel):
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"""ConsciousnessNodeDeps 核心组件类。
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这是一个系统执行节点类,作为多智能体架构中的独立处理单元。它能够接收工作流上下文,根据内置的大模型策略进行意图理解和自主决策,从而驱动特定阶段的任务闭环。"""
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original_command: str
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command: str
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available_skills: list[dict] | None = None
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class ConsciousnessNodeInput(InputModel):
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"""ConsciousnessNodeInput 核心组件类。
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这是一个系统执行节点类,作为多智能体架构中的独立处理单元。它能够接收工作流上下文,根据内置的大模型策略进行意图理解和自主决策,从而驱动特定阶段的任务闭环。"""
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pass
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class ForWorkflowEngineInput(ConsciousnessNodeInput):
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"""ForWorkflowEngineInput 核心组件类。
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这是一个领域数据模型或功能封装类,承载了 ForWorkflowEngineInput 相关的内聚属性定义与状态维护。它的存在隔离了局部的业务复杂性,并对外提供了类型安全的访问接口。"""
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original_command: str
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available_skills: list[dict] | None = None
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class ForWorkflowInput(ConsciousnessNodeInput):
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"""ForWorkflowInput 核心组件类。
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这是一个领域数据模型或功能封装类,承载了 ForWorkflowInput 相关的内聚属性定义与状态维护。它的存在隔离了局部的业务复杂性,并对外提供了类型安全的访问接口。"""
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workflow_step: WorkflowStep
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original_command: str
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class ForregulatoryInput(ConsciousnessNodeInput):
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"""ForregulatoryInput 核心组件类。
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这是一个领域数据模型或功能封装类,承载了 ForregulatoryInput 相关的内聚属性定义与状态维护。它的存在隔离了局部的业务复杂性,并对外提供了类型安全的访问接口。"""
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workflow: KiloStarWorkflow
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original_command: str
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