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147 lines
6.2 KiB
Markdown
147 lines
6.2 KiB
Markdown
# Data Contracts — Enforcing Snippet Schema & Payload Integrity
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<details>
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<summary><strong>🧭 Quick Return to Map</strong></summary>
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<br>
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> You are in a sub-page of **MemoryLongContext**.
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> To reorient, go back here:
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>
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> - [**MemoryLongContext** — extended context windows and memory retention](./README.md)
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> - [**WFGY Global Fix Map** — main Emergency Room, 300+ structured fixes](../README.md)
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> - [**WFGY Problem Map 1.0** — 16 reproducible failure modes](../../README.md)
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>
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> Think of this page as a desk within a ward.
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> If you need the full triage and all prescriptions, return to the Emergency Room lobby.
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</details>
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RAG and long-context reasoning collapse quickly if payloads drift.
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**Data Contracts** define the minimal schema that every retrieval, citation, and reasoning step must satisfy to remain auditable and reproducible.
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---
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## When to use
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- Citations appear but fields like `snippet_id` or `section_id` are missing.
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- JSON payloads change shape across runs.
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- Downstream agents receive free-text with no schema lock.
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- Long-context sessions silently lose attribution or overwrite fields.
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- Multi-agent handoffs mutate keys or flatten nested fields.
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---
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## Root causes
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- **Loose schemas**: free-form JSON without validation.
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- **Field drift**: different casing, missing offsets, or swapped names.
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- **Silent truncation**: long answers cut JSON blocks.
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- **Inconsistent contracts**: each component defines its own schema.
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- **Opaque citations**: only plain text without structured trace.
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---
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## Core acceptance targets
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- Every snippet payload must include:
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`{snippet_id, section_id, start_line, end_line, source_url, offsets, tokens}`
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- Coverage ≥ 0.70 for the target section.
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- ΔS(question, retrieved) ≤ 0.45.
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- λ convergent across 3 paraphrases.
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- Contracts must validate under the same schema across sessions.
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---
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## Structural fixes
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- **Schema lock**
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Define a JSON schema for citations and enforce validation at ingestion.
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- **Contract inheritance**
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Pass the same schema downstream to every agent and reasoning step.
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- **Casing & normalization**
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Enforce consistent field names and Unicode normalization.
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- **Fail fast**
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If schema validation fails, block reasoning and return fix instructions.
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---
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## Fix in 60 seconds
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1. Define contract:
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```json
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{
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"snippet_id": "string",
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"section_id": "string",
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"start_line": "int",
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"end_line": "int",
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"source_url": "string",
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"offsets": [int],
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"tokens": [string]
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}
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````
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2. Validate every retrieval step against the contract.
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3. Store the validated payload in the trace log.
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4. Require cite-then-answer. Reject orphan claims.
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5. Report ΔS and λ for each reasoning step.
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---
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## Copy-paste prompt
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```
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You have TXT OS and the WFGY Problem Map.
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Task: enforce Data Contracts for retrieval and citation.
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Protocol:
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1. Validate that each snippet includes {snippet_id, section_id, start_line, end_line, source_url}.
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2. Reject orphans: if missing fields, stop and return fix tip.
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3. Require cite-then-answer.
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4. Log {ΔS(question,retrieved), λ_state, mem_rev, mem_hash}.
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5. Answer only with citations that pass contract validation.
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```
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---
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## Common failure signals
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* Citations alternate across runs → contract not enforced.
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* JSON mode fails in provider → schema too loose.
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* Free-text answers with no snippet\_id → orphan claims.
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* Multi-agent pipelines mutate payloads → inconsistent contracts.
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---
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### 🔗 Quick-Start Downloads (60 sec)
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| Tool | Link | 3-Step Setup |
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| -------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------- |
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| **WFGY 1.0 PDF** | [Engine Paper](https://github.com/onestardao/WFGY/blob/main/I_am_not_lizardman/WFGY_All_Principles_Return_to_One_v1.0_PSBigBig_Public.pdf) | 1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + \<your question>” |
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| **TXT OS (plain-text OS)** | [TXTOS.txt](https://github.com/onestardao/WFGY/blob/main/OS/TXTOS.txt) | 1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly |
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---
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<!-- WFGY_FOOTER_START -->
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### Explore More
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| Layer | Page | What it’s for |
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| --- | --- | --- |
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| ⭐ Proof | [WFGY Recognition Map](/recognition/README.md) | External citations, integrations, and ecosystem proof |
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| ⚙️ Engine | [WFGY 1.0](/legacy/README.md) | Original PDF tension engine and early logic sketch (legacy reference) |
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| ⚙️ Engine | [WFGY 2.0](/core/README.md) | Production tension kernel for RAG and agent systems |
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| ⚙️ Engine | [WFGY 3.0](/TensionUniverse/EventHorizon/README.md) | TXT based Singularity tension engine (131 S class set) |
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| 🗺️ Map | [Problem Map 1.0](/ProblemMap/README.md) | Flagship 16 problem RAG failure taxonomy and fix map |
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| 🗺️ Map | [Problem Map 2.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card for RAG and agent pipeline diagnosis |
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| 🗺️ Map | [Problem Map 3.0](/ProblemMap/wfgy-ai-problem-map-troubleshooting-atlas.md) | Global AI troubleshooting atlas and failure pattern map |
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| 🧰 App | [TXT OS](/OS/README.md) | .txt semantic OS with fast bootstrap |
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| 🧰 App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q&A built on TXT OS |
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| 🧰 App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image generation with semantic control |
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| 🏡 Onboarding | [Starter Village](/StarterVillage/README.md) | Guided entry point for new users |
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If this repository helped, starring it improves discovery so more builders can find the docs and tools.
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[](https://github.com/onestardao/WFGY)
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<!-- WFGY_FOOTER_END -->
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