zhaoxi
b61524e5d9
1. chat.py stream 端点改为调用 regulatory_node.stream_working()（pydantic-ai run_stream），支持工具调用 + 逐 token 流式输出 2. regulatory_node 新增 stream_working 方法，通过 asyncio.Queue 推送 token 3. ConsciousnessNodeDeps.available_skills 加默认值 None，修复 ForWorkflowInput/ ForregulatoryInput 路径的 ValidationError Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
79 lines
2.8 KiB
Python
79 lines
2.8 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, RequestModel
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from pydantic import Field
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from typing import Optional, List
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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 ConsciousnessNodeDeps(DepsModel):
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"""ConsciousnessNode 在 pydantic-ai Agent 中使用的依赖：原始指令、当前指令以及可用 Skill 列表。"""
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original_command: str
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command: str
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available_skills: Optional[List[str]] = None
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class ConsciousnessNodeInput(RequestModel):
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"""ConsciousnessNode 各类入参的共同基类，仅用于打 schema 标签。"""
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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 ForWorkflowEngineInput(ConsciousnessNodeInput):
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"""从 RegulatoryNode 移交过来生成 Workflow 的入参：原始指令 + 已注册的 Skill 列表。"""
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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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"""工作流执行期分配给 ConsciousnessNode 的步骤入参：当前 step + 原始指令上下文。"""
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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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"""工作流跑完后回交给 RegulatoryNode 时的入参：完整 workflow 对象 + 原始指令。"""
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workflow: KiloStarWorkflow
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original_command: str
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