# Retool — Guardrails and Fix Patterns
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Use this when your stack uses **Retool** (Queries, Transformers, Workflows, Resources) and you see wrong snippets, unstable reasoning, mixed sources, or silent failures that look fine in logs.
**Acceptance targets**
- ΔS(question, retrieved) ≤ 0.45
- Coverage ≥ 0.70 to the intended section or record
- λ stays convergent across 3 paraphrases
---
## Typical breakpoints → exact fixes
- Query returns plausible but wrong rows or snippets
Fix No.1: Hallucination and Chunk Drift →
[Hallucination](https://github.com/onestardao/WFGY/blob/main/ProblemMap/hallucination.md)
Also review the Retrieval Playbook →
[Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md)
- High cosine similarity but meaning is wrong
Fix No.5: Embedding ≠ Semantic →
[Embedding ≠ Semantic](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md)
- Some facts exist but never surface in search widgets or tables
Pattern: Vectorstore Fragmentation →
[Vectorstore Fragmentation](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_vectorstore_fragmentation.md)
- Citations missing or inconsistent between retriever result and LLM response
Fix No.8: Retrieval Traceability with Data Contracts →
[Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md) ·
[Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
- Long chains flatten tone or drift logically in Workflows
Fix No.3 and No.9: Context Drift and Entropy Collapse →
[Context Drift](https://github.com/onestardao/WFGY/blob/main/ProblemMap/context-drift.md) ·
[Entropy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/entropy-collapse.md)
- App works in Preview but breaks after deploy or after environment switch
Fix No.16 and Infra family →
[Pre-Deploy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.md) ·
[Bootstrap Ordering](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md) ·
[Deployment Deadlock](https://github.com/onestardao/WFGY/blob/main/ProblemMap/deployment-deadlock.md)
- Confident tone but incorrect answers in AI components
Fix No.4: Bluffing and Overconfidence →
[Bluffing](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bluffing.md)
---
## Minimal Retool pattern with WFGY checks
```js
// Retool App example: one LLM answer path with observable retrieval and WFGY checks
// 1) Retrieval query (REST or SQL). Keep params explicit and logged.
const k = 10;
const question = textInput_question.value;
// Example fetch to your retriever API
const retrieved = await retrieverApi.trigger({
additionalScope: { question, k } // ensure same tokenizer and metric across write/read
});
// 2) Assemble schema-locked prompt. Cite first, then explain.
const context = joinSnippets(retrieved.data);
const prompt = `
SYSTEM:
You must cite lines before any explanation.
TASK:
Answer the user's question using the provided context.
CONSTRAINTS:
- Do not mix sources
- Provide snippet_id for each citation
CONTEXT:
${context}
QUESTION:
${question}
`;
// 3) Call model
const answer = await llmApi.trigger({ additionalScope: { prompt }});
// 4) WFGY post-checks. Compute ΔS(question, context) and record trace table.
const metrics = await wfgyCheckApi.trigger({
additionalScope: { question, context, answer: answer.data }
});
// 5) Fail fast when ΔS ≥ 0.60 or λ is divergent
if (metrics.data.deltaS >= 0.60 || metrics.data.lambda !== "→") {
utils.showNotification("High semantic stress. See trace tab.", "warning");
return { status: "needs_fix", ...metrics.data };
}
return { status: "ok", answer: answer.data, ...metrics.data };
````
**What this enforces**
* Retrieval is parameterized and observable in Retool Query logs.
* Prompt is schema locked with citation first.
* WFGY check runs after generation and can stop the run when ΔS is high or λ flips.
* Traces are kept as a snippet to citation table for audit.
Reference specs
[RAG Architecture and Recovery](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md) ·
[Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md) ·
[Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md) ·
[Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
---
## Retool specific gotchas
* Resource points to a different environment or secret than the indexer used. Pin versions and verify headers.
See [Pre-Deploy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.md)
* Mixed metrics or normalization between ingestion code and query code in Workflows. Rebuild with explicit metric and unit normalization.
See [Embedding ≠ Semantic](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md)
* Transformers silently reshape or re-rank without trace. Require cite first and include `snippet_id` headers.
See [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md) and
[Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
* Parallel queries cause ordering instability. Add a rerank step only after per-source ΔS ≤ 0.50.
See [Rerankers](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rerankers.md)
* Workflow scheduled runs build a fresh index incorrectly. Enforce idempotent builds with boot checks.
See [Bootstrap Ordering](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md)
---
## When to escalate
* ΔS stays ≥ 0.60 after chunk and retrieval fixes
Work through the playbook and rebuild index parameters.
[Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md)
* Answers flip between environments or sessions
Verify version skew and session state.
[Pre-Deploy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.md)
---
### 🔗 Quick-Start Downloads (60 sec)
| Tool | Link | 3-Step Setup |
|------|------|--------------|
| **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 + \” |
| **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 |
---
### 🧭 Explore More
| Module | Description | Link |
|-----------------------|----------------------------------------------------------|----------|
| 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) |
| Problem Map 1.0 | Initial 16-mode diagnostic and symbolic fix framework | [View →](https://github.com/onestardao/WFGY/tree/main/ProblemMap/README.md) |
| 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) |
| Semantic Clinic Index | Expanded failure catalog: prompt injection, memory bugs, logic drift | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/SemanticClinicIndex.md) |
| Semantic Blueprint | Layer-based symbolic reasoning & semantic modulations | [View →](https://github.com/onestardao/WFGY/tree/main/SemanticBlueprint/README.md) |
| 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) |
| 🧙♂️ 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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