180 lines
5.6 KiB
Markdown
180 lines
5.6 KiB
Markdown
# 04 Segmentation / Worker Design
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## Status
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```yaml
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run_id: 2026-06-12-复杂度放置门
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stage: segmentation_worker_design
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created: 2026-06-12
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gate_0_step_0_status: human_confirmed_with_constraints
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accepted_step_0_output: invocations/whole-source-gestalt-reviewer/returned-output.md
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human_confirmation_record: invocations/whole-source-gestalt-reviewer/human-confirmation.md
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approved_segmentation_strategy: round-first_with_user_gpt_slice_notes
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worker_priority: broad_fidelity_analysis_first
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source_primary_language: zh-CN
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human_review_language_requirement: zh-CN
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creates_topic_map: false
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creates_topic_docs: false
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creates_routing_log: false
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creates_model_card: false
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```
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本文件只定义 segmentation / worker 分拆设计。它不是 topic-map，不是 routing-log，也不是 worker 正文输出。
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## Confirmed Step 0 Lens
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后续 worker 必须携带以下 lens：
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```text
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本源材料的主轴是“复杂度放置门”：用户通过深度创作、素材提炼、降维输出和 HiFi Agent Studio 的实践复盘，推导出专家型 Agentic 系统需要在项目入口、执行真实性、成本分账、停止规则、任务漂移和文档分层上建立运行治理。深度创作流程是该 AI 开发方法论的实践样本，不是与方法论并列的宏主题。
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```
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## Human-Confirmed Additions
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```text
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1. 根主题可采用“复杂度放置门”。
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2. “深度创作流程 / 素材提炼 / 降维输出”主要是实践案例层，不是独立父主题。
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3. 后续材料需要支撑三个连续任务：
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- 写第 8 篇文章
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- 为 HiFi Agent Studio 打补丁
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- 补充 Agentic Handbook 守则内容
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4. 本次不做模型资产；模型资产必须等用户产生正文并经过讨论 / 正交过程后再抽取。
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5. 不考虑 video-workbench。
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6. GPT 外部链接只保留为讨论材料，不在本次核验或提升为正式知识资产依据。
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```
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## Segmentation Rule
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只按 `00-source-map.md` 中记录的数字 Markdown H1 边界分段：
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| worker_id | range_id | heading | source_line_range | user_slice | gpt_slice |
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| --- | --- | --- | --- | --- | --- |
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| broad-fidelity-R01 | R01 | `# 1` | 1-1020 | 1-842 | 843-1020 |
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| broad-fidelity-R02 | R02 | `# 2` | 1021-1909 | 1021-1191 | 1192-1909 |
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| broad-fidelity-R03 | R03 | `# 3` | 1910-2638 | 1910-1961 | 1962-2638 |
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| broad-fidelity-R04 | R04 | `# 4` | 2639-4013 | 2639-2903 | 2904-4013 |
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| broad-fidelity-R05 | R05 | `# 5` | 4014-5079 | 4014-4026 | 4027-5079 |
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禁止把非数字 H1、内部标题、产品名、方法名或 GPT 生成的文档标题当成 round boundary。
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## Worker Type
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第一轮只 dispatch `broad-fidelity` worker：
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```yaml
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worker_type: broad_fidelity_round_worker
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primary_task: preserve_source_material_units
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secondary_task: assign_case_and_downstream_task_tags
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not_task:
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- create_topic_map
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- create_topic_docs
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- create_model_card
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- perform_model_mining
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- synthesize_final_structure
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- verify_external_links
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```
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## Worker Output Contract
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每个 worker 输出一个 Markdown 文件：
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```text
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invocations/broad-fidelity-workers/Rxx/returned-output.md
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```
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每个 worker 文件必须包含：
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```yaml
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participant_id: broad-fidelity-Rxx
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round_id: Rxx
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source_line_range: start-end
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user_slice: start-end
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gpt_slice: start-end
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source_primary_language: zh-CN
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output_language_policy: mirror_source_primary_language
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formal_participant_output: true
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simulation_only: false
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```
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正文结构：
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```text
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1. Round Scope
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2. Source-Faithful Material Units
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3. User / GPT Distinction Notes
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4. Case Layer Tags
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5. Downstream Task Tags
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6. Candidate Concepts, Not Model Assets
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7. Cross-Link Candidates
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8. Distortion Risks
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9. Open Questions For Synthesis
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```
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## Material Unit Schema
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每个材料单元使用以下字段：
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```yaml
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unit_id: Rxx-Uyy
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source_lines: start-end
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speaker_layer: user_input | gpt_response | mixed
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fidelity_summary: ""
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case_layer_tags:
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- deep_creation_workflow
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- material_extraction
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- dimensional_reduction_output
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- hifi_agent_studio
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- agentic_handbook
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- complexity_placement_gate
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downstream_task_tags:
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- article_8_material
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- hifi_patch_material
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- handbook_material
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- archival_context
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concept_status: discussion_material | candidate_concept
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model_asset_status: prohibited_in_this_run
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external_link_status: discussion_material_only | none
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cross_link_candidates:
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- ""
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distortion_risks:
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- ""
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```
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## Distortion Risks To Carry Into Every Worker
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```text
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1. 不要把深度创作流程、素材提炼、降维输出升为平级父主题；它们主要是实践案例层。
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2. 不要把“复杂度放置门”缩减为单纯反过度工程；它是复杂度放置、执行真实性、成本分账、停止规则、任务漂移和文档分层的运行治理判断。
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3. 不要创建模型资产、model card、model index entry 或 model-mining 输出。
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4. 不要为 video-workbench 创建 topic。
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5. 不要核验或提升 GPT 外部链接；只作为讨论材料保留。
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6. 不要把第 8 篇文章、HiFi Agent Studio 补丁、Agentic Handbook 守则合并为单一输出；它们是三个连续但不同的任务方向。
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7. 不要创建 topic-map、routing-log、topic docs 或 audit。
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```
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## Dispatch Order
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推荐并行 dispatch：
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```text
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1. broad-fidelity-R01
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2. broad-fidelity-R02
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3. broad-fidelity-R03
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4. broad-fidelity-R04
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5. broad-fidelity-R05
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6. synthesis-prep: only after all five worker outputs return
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```
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## Next Gate
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下一步是生成每个 `broad-fidelity-Rxx` 的 invocation packet，并等待真实 participant output。
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```yaml
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may_create_worker_invocation_packets: true
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may_dispatch_broad_fidelity_workers: true
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may_create_topic_map: false
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may_create_routing_log: false
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may_create_topic_docs: false
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```
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