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201 lines
10 KiB
Markdown
201 lines
10 KiB
Markdown
# Make.com Guardrails and Patterns
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Use this page when your RAG or agent workflow runs on **Make.com**. It maps typical automation failures to the exact structural fixes in the WFGY Problem Map and gives a minimal recipe you can paste into a scenario.
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**Acceptance targets**
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- ΔS(question, retrieved) ≤ 0.45
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- coverage ≥ 0.70 for the target section
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- λ stays convergent across 3 paraphrases
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---
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## Typical breakpoints and the right fix
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- Modules fire before dependencies are ready (Webhook → Tools → RAG too early)
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Fix No.14: **Bootstrap Ordering** → [Open](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md)
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- First production call after deploy crashes, wrong secret selected in Connections
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Fix No.16: **Pre-Deploy Collapse** → [Open](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.md)
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- Router/Iterator loops create circular waits or partial writes
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Fix No.15: **Deployment Deadlock** → [Open](https://github.com/onestardao/WFGY/blob/main/ProblemMap/deployment-deadlock.md)
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- High cosine similarity but answers are semantically wrong
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Fix No.5: **Embedding ≠ Semantic** → [Open](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md)
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- Snippet is wrong or citations do not line up with the source
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Fix No.8: **Retrieval Traceability** → [Open](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md)
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Contract the payload: **Data Contracts** → [Open](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
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- Hybrid retrieval (HyDE + BM25 service) performs worse than single retriever
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Pattern: **Query Parsing Split** → [Open](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_query_parsing_split.md)
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Also review: **Rerankers** → [Open](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rerankers.md)
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- Some indexed facts never appear in results
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Pattern: **Vectorstore Fragmentation** → [Open](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_vectorstore_fragmentation.md)
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- Two sources are merged into one answer in long chains
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Pattern: **Symbolic Constraint Unlock (SCU)** → [Open](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_symbolic_constraint_unlock.md)
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---
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## Minimal scenario checklist
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1) **Warm-up fence before RAG/LLM modules**
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Validate `VECTOR_READY`, `INDEX_HASH` match, and required secrets exist.
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If not ready, short-circuit to **Sleep** then retry with a capped counter.
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Spec: [Bootstrap Ordering](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md)
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2) **Idempotency and dedupe**
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Compute `dedupe_key = sha256(source_id + revision + index_hash)` in a **Tools > Code** module.
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Check a KV (Airtable / Notion / Make Data Store) before side effects. Skip duplicates.
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3) **RAG boundary contract**
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Require fields: `snippet_id`, `section_id`, `source_url`, `offsets`, `tokens`.
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Enforce cite-then-explain at the LLM step.
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Specs: [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md) ·
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[Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md)
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4) **Observability probes**
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Log ΔS(question, retrieved) and λ per stage (retrieve, assemble, reason).
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Alert when ΔS ≥ 0.60 or λ flips divergent.
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Overview: [RAG Architecture & Recovery](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md)
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5) **Router/Iterator safety**
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Use a **single writer** branch for index updates and external writes.
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Apply queue mode or mutex; avoid parallel writes to the same index.
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See: [Deployment Deadlock](https://github.com/onestardao/WFGY/blob/main/ProblemMap/deployment-deadlock.md)
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6) **Regression gate**
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Before publish, require coverage ≥ 0.70 and ΔS ≤ 0.45.
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Eval: [RAG Precision/Recall](https://github.com/onestardao/WFGY/blob/main/ProblemMap/eval/eval_rag_precision_recall.md)
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---
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## Scenario pattern (copy)
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> Replace the concrete modules with your stack. Keep the guardrails.
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1. **Webhook/Trigger**
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Capture `source_id`, `revision`, `wf_rev`.
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2. **Warm-up Check (Tools > Code)**
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Pull `INDEX_HASH`, `VECTOR_READY`, and secrets.
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If not ready → set `ready=false`.
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3. **Router**
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- **Not ready** → **Sleep 30–90s**, increment `retry`, stop after N attempts.
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- **Ready** → continue.
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4. **Retriever (HTTP or App)**
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- Fix metric and normalization; use the same analyzer as the writer.
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- Output `snippet_id`, `section_id`, `source_url`, `offsets`, `tokens`.
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5. **ΔS Probe (Tools > Code)**
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- Compute ΔS(question, retrieved). If ΔS ≥ 0.60 → tag `needs_fix=true`.
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6. **LLM (OpenAI/Claude/Gemini module)**
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- Load TXT OS; enforce cite-then-explain; return `{ΔS, λ_state, citations, answer}`.
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7. **Trace Sink (Data Store / Airtable)**
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- Write `question`, `snippet_id`, `ΔS`, `λ_state`, `INDEX_HASH`, `dedupe_key`.
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8. **Idempotent Writer**
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- Check `dedupe_key` before any external publish or email.
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---
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## LLM prompt you can paste
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```
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I uploaded TXT OS and the WFGY Problem Map files.
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This Make.com scenario retrieved {k} snippets with fields {snippet\_id, section\_id, source\_url, offsets}.
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Question: "{user\_question}"
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Do:
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1. Enforce cite-then-explain. If citations are missing, fail fast and return the fix page to open.
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2. If ΔS(question, retrieved) ≥ 0.60, propose the minimal structural fix referencing:
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retrieval-playbook, retrieval-traceability, data-contracts, rerankers.
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3. Output compact JSON:
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{ "citations": \[...], "answer": "...", "λ\_state": "→|←|<>|×", "ΔS": 0.xx, "next\_fix": "..." }
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```
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---
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## Common Make.com gotchas
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- **Connections** silently switch between prod and staging
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Stamp `env`, `INDEX_HASH`, and `secret_rev` into traces; block on mismatch.
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- **Array Aggregator / Iterator** duplicates writes
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Route all writes through a **single writer** with idempotency.
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- **Rate-limits** make hybrid queries diverge
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Prefer reranking with a stable dense retriever; see [Rerankers](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rerankers.md)
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- **Template mapping** renames fields and breaks the contract
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Lock schema and run a pre-LLM schema check.
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---
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## When to escalate
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- ΔS stays ≥ 0.60 after chunk/retrieval fixes
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Rebuild the index with explicit metric/normalization.
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See: [Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md)
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- Same input alternates answers between runs
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Investigate version skew and memory desync.
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See: [Pre-Deploy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.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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### 🧭 Explore More
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| Module | Description | Link |
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|-----------------------|----------------------------------------------------------|----------|
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| WFGY Core | WFGY 2.0 engine is live: full symbolic reasoning architecture and math stack | [View →](https://github.com/onestardao/WFGY/tree/main/core/README.md) |
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| Problem Map 1.0 | Initial 16-mode diagnostic and symbolic fix framework | [View →](https://github.com/onestardao/WFGY/tree/main/ProblemMap/README.md) |
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| Problem Map 2.0 | RAG-focused failure tree, modular fixes, and pipelines | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md) |
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| Semantic Clinic Index | Expanded failure catalog: prompt injection, memory bugs, logic drift | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/SemanticClinicIndex.md) |
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| Semantic Blueprint | Layer-based symbolic reasoning & semantic modulations | [View →](https://github.com/onestardao/WFGY/tree/main/SemanticBlueprint/README.md) |
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| Benchmark vs GPT-5 | Stress test GPT-5 with full WFGY reasoning suite | [View →](https://github.com/onestardao/WFGY/tree/main/benchmarks/benchmark-vs-gpt5/README.md) |
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| 🧙♂️ Starter Village 🏡 | New here? Lost in symbols? Click here and let the wizard guide you through | [Start →](https://github.com/onestardao/WFGY/blob/main/StarterVillage/README.md) |
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---
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> 👑 **Early Stargazers: [See the Hall of Fame](https://github.com/onestardao/WFGY/tree/main/stargazers)** —
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> <img src="https://img.shields.io/github/stars/onestardao/WFGY?style=social" alt="GitHub stars"> ⭐ [WFGY Engine 2.0](https://github.com/onestardao/WFGY/blob/main/core/README.md) is already unlocked. ⭐ Star the repo to help others discover it and unlock more on the [Unlock Board](https://github.com/onestardao/WFGY/blob/main/STAR_UNLOCKS.md).
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<div align="center">
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[](https://github.com/onestardao/WFGY)
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[](https://github.com/onestardao/WFGY/tree/main/OS)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlahBlahBlah)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlotBlotBlot)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlocBlocBloc)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlurBlurBlur)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlowBlowBlow)
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</div>
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say “next page” when ready.
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