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ProblemMap/GlobalFixMap/Automation/langchain.md
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# LangChain Guardrails and Patterns
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Use this page when your RAG or agent workflow runs in **LangChain**. It maps common orchestration failures to the exact structural fixes in the Problem Map and gives a minimal recipe you can embed in a chain or agent.
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**Core acceptance**
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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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* **Chains run before retriever or vectorstore is ready**
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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 query after deploy crashes due to env/secret mismatch**
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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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* **Event loop deadlocks when retriever and synthesis wait on each other**
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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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* **Embedding distance looks fine but semantics drift**
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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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* **Output citations don’t map to snippets**
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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 payloads with: **Data Contracts** → [Open](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
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* **Hybrid retrieval chains underperform**
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Pattern: **Query Parsing Split** → [Open](https://github.com/onestardao/WFGY/blob/main/ProblemMap/query_parsing_split.md)
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Review: **Rerankers** → [Open](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rerankers.md)
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* **Facts indexed but never surfaced**
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Pattern: **Vectorstore Fragmentation** → [Open](https://github.com/onestardao/WFGY/blob/main/ProblemMap/vectorstore-fragmentation.md)
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* **Two knowledge sources get blended in a single answer**
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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 setup checklist for LangChain flows
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1. **Warm-up fence**
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Check vectorstore readiness and index hash. If mismatch, retry or short-circuit.
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Spec: [Bootstrap Ordering](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md)
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2. **Idempotency key**
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Before persisting outputs, compute a dedupe key from `(doc_id + rev + index_hash)`.
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3. **Contracted retriever outputs**
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Must emit: `snippet_id, section_id, source_url, offsets, tokens`.
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Enforce cite-then-explain.
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Specs: [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md) · [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 for retrieval steps and λ state transitions.
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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. **Concurrency guard**
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Use a single writer pattern for retriever updates.
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See: [Deployment Deadlock](https://github.com/onestardao/WFGY/blob/main/ProblemMap/deployment-deadlock.md)
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6. **Eval before publish**
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Run precision/recall probes.
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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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## Copy-paste prompt for LangChain LLMChain
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```
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You have access to TXT OS and WFGY Problem Map files.
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This retriever produced {k} docs with fields {snippet_id, section_id, source_url, offsets}.
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Do:
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1. Enforce cite-then-explain. If citations are missing, stop and return fix tip.
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2. If ΔS(question, retrieved) ≥ 0.60, propose minimal structural fix referencing:
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retrieval-playbook, retrieval-traceability, data-contracts, rerankers.
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3. Output JSON plan:
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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 LangChain gotchas
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* **Async chains** drop context windows or run steps before retrievers return.
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Solution: enforce await barriers, or wrap with guard nodes.
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* **Tool/agent outputs exceed JSON mode limits**
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Add schema locks and contract enforcement before passing downstream.
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* **Retriever mismatch** between indexer and chain (different casing/tokenizer)
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Fix: normalize pipelines, or enable reranking.
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See: [Rerankers](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rerankers.md)
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* **Long context windows collapse into filler**
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Monitor entropy. If collapse, trigger recovery.
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See: [Entropy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/entropy-collapse.md)
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---
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## When to escalate
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* ΔS remains ≥ 0.60 even after chunking and retriever fixes
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→ Rebuild vectorstore with explicit metric + normalization.
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Spec: [Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md)
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* Identical inputs yield divergent answers
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→ Investigate long-context drift.
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Spec: [Context Drift](https://github.com/onestardao/WFGY/blob/main/ProblemMap/context-drift.md)
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---
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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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