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174 lines
8.8 KiB
Markdown
174 lines
8.8 KiB
Markdown
# Pipedream — Guardrails and Fix Patterns
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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 **Automation Platforms**.
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> To reorient, go back here:
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>
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> - [**Automation Platforms** — stabilize no-code workflows and integrations](./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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Use this when your integration is built on **Pipedream** (HTTP triggers, Node/Python steps, marketplace components) and answers look plausible but wrong, citations don’t line up, or flows pass step-by-step while users still see inconsistencies.
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**Acceptance targets**
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- ΔS(question, retrieved) ≤ 0.45
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- Coverage ≥ 0.70 to the intended section/record
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- λ stays convergent across 3 paraphrases
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---
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## Typical breakpoints → exact fixes
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- Output sounds right but cites the wrong snippet or section
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Fix No.1: **Hallucination & Chunk Drift** →
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[Hallucination](https://github.com/onestardao/WFGY/blob/main/ProblemMap/hallucination.md) ·
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[Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md)
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- High vector similarity, wrong meaning in answers
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Fix No.5: **Embedding ≠ Semantic** →
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[Embedding ≠ Semantic](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md)
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- Indexed facts exist (S3/GSheet/Notion/DB) but never appear in top-k
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Pattern: **Vectorstore Fragmentation** →
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[Vectorstore Fragmentation](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_vectorstore_fragmentation.md)
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- Can’t show “why this snippet?” from within step logs
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Fix No.8: **Retrieval Traceability** + snippet/citation schema →
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[Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md) ·
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[Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
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- Long multi-step flows drift in tone or logic (especially with retries)
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Fix No.3/No.9: **Context Drift** and **Entropy Collapse** →
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[Context Drift](https://github.com/onestardao/WFGY/blob/main/ProblemMap/context-drift.md) ·
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[Entropy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/entropy-collapse.md)
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- Works in test events, fails in scheduled/production runs (secrets/env mismatch)
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Infra: **Pre-Deploy / Bootstrap / Deadlock** →
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[Pre-Deploy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.md) ·
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[Bootstrap Ordering](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md) ·
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[Deployment Deadlock](https://github.com/onestardao/WFGY/blob/main/ProblemMap/deployment-deadlock.md)
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- Model answers confidently with wrong claims
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Fix No.4: **Bluffing / Overconfidence** →
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[Bluffing](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bluffing.md)
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---
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## Minimal Pipedream pattern with WFGY checks
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A compact flow outline that enforces **cite-first schema**, **observable retrieval**, and **ΔS/λ** validation.
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```txt
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Trigger: HTTP / Webhook (POST)
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Step 1 — Parse input
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- Extract "question" and optional "k" (default 10)
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Step 2 — Retrieve context (custom component or HTTP)
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- POST to your retriever: { question, k }
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- Return: snippets[], each with { snippet_id, text, source, section_id }
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Step 3 — Assemble prompt (Node step)
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SYSTEM:
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Cite lines before any explanation. Keep per-source fences.
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TASK:
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Answer only from the provided context. Return citations as [snippet_id].
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CONTEXT:
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<joined snippets with snippet_id + source + text>
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QUESTION:
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<user question>
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Step 4 — Call LLM (component or HTTP)
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- Input: prompt from Step 3
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- Output: answer + raw citations if available
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Step 5 — WFGY post-check (HTTP to your wfgyCheck function)
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- Body: { question, context, answer }
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- Return: { deltaS, lambda, coverage, notes }
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Step 6 — Gate
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IF deltaS ≥ 0.60 OR lambda != "→"
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→ Fail fast with 422 and include trace table (snippet_id↔citation)
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ELSE
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→ 200 OK with { answer, deltaS, lambda, coverage, citations[] }
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````
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Reference specs:
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[RAG Architecture & Recovery](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md) ·
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[Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md) ·
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[Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md) ·
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[Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
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---
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## Pipedream-specific gotchas
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* **Event truncation**: large contexts exceed step memory or event size. Use external store for snippets, inject only ids + short preview into the prompt, and re-fetch on demand.
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See [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
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* **Package/runtime drift**: Node/Python versions or package pins differ between components. Pin versions and rebuild embeddings/index with the same runtime.
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See [Embedding ≠ Semantic](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md)
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* **Concurrent runs reorder records** and break implicit ranking. Add a **rerank** step after per-source ΔS ≤ 0.50.
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See [Rerankers](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rerankers.md)
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* **Secret/connection mismatch across sources**: different tokens for ingestion vs query cause empty/partial retrieval. Verify in a boot check before first LLM call.
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See [Pre-Deploy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.md)
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* **Marketplace components hide prompts**: wrap LLM calls in your own component so the **cite-first schema** and fences are explicit in code.
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See [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md)
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---
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## When to escalate
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* ΔS stays ≥ 0.60 after chunking/retrieval fixes → rebuild index with explicit metric flags and unit normalization.
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[Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md)
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* Answers flip between preview and deployed sources → verify version skew, secret scope, and environment variables.
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[Bootstrap Ordering](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md) ·
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[Deployment Deadlock](https://github.com/onestardao/WFGY/blob/main/ProblemMap/deployment-deadlock.md)
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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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