后端: - 工作流推进链(D-03):advance_task/状态机/闸门走 df-nodes Node trait,conditions 条件引擎扩展 - 想法评估闭环:启发式评分+对抗评估,df-ideas/scoring + df-storage/idea_eval_repo + idea 前端打通 - 全局事件数据总线:df-ai/context+context_helpers+augmentation 跨模块解耦 - AI planner/plan_hint/intent:aichat B 路线并行多轮基础 - patch_file 加固(TD-03/04):读改写整体锁防 lost update,expected_hash 合约闭环 - 压缩超时兜底(F-15 卡死根治) - F-09 多会话并发:LlmConcurrency per-conv + streamingGuard 前端守护 + verify 脚本 - 知识注入 DRY/skills/audit 扩展 清理: - aichat 技术债(误报 allow/死导入/过时注释 30 项) - URGENT.md 删除(11 项加急全解决/迁 todo) - 文档整理(todo/待决策/待审查/ARCHITECTURE/INDEX + 总线/技术债审查新文档)
26 lines
907 B
TOML
26 lines
907 B
TOML
[package]
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name = "df-workflow"
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version = "0.1.0"
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edition = "2021"
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[features]
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# ARC-260618-01-d 条件引擎接入执行器(默认关 = 旧行为零变更,渐进开启)
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#
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# 关闭时(默认):DagExecutor 完全忽略 edge.condition,按拓扑层全跑,
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# 与增强前行为完全一致(零行为破坏现有 HumanNode/AiNode 等所有调用方)。
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# 开启时:节点收集 inputs 前,对带 condition 的入边以 source output 为 context 求值;
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# 求值 false 则该前驱 input 不收集,且若该节点所有入边(含 condition)均被过滤,
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# 则跳过该节点执行(保持 Pending),实现条件路由。
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default = []
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conditions-eval = []
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[dependencies]
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df-types = { path = "../df-types" }
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serde = { workspace = true }
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serde_json = { workspace = true }
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tokio = { workspace = true }
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async-trait = { workspace = true }
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futures = "0.3"
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anyhow = { workspace = true }
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tracing = { workspace = true }
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