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194 lines
11 KiB
Markdown
194 lines
11 KiB
Markdown
# LangChain — 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 **Agents & Orchestration**.
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> To reorient, go back here:
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>
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> - [**Agents & Orchestration** — orchestration frameworks and guardrails](./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 pipeline is built with **LangChain** (LCEL, Runnable*, Agents, Tools) and you see wrong snippets, unstable reasoning, mixed sources, or silent failures that look fine in logs.
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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 or 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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- Retrieval returns plausible but wrong chunks
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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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Also review **Retrieval Playbook** →
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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
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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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- Hybrid chains with BM25 or HyDE degrade compared to single retriever
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Pattern: **Query Parsing Split** →
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[Query Parsing Split](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_query_parsing_split.md)
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Apply **Rerankers** for ordering control →
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[Rerankers](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rerankers.md)
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- Facts exist in the store but never show up
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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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- Citations missing or inconsistent across LCEL steps
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Fix No.8: **Retrieval Traceability** + **Data Contracts** →
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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 Runnable chains flatten style and drift logically
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Fix No.3 and 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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- Agent loops, role confusion, memory overwrite
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Fix No.13: **Multi-Agent Chaos** →
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[Multi-Agent Problems](https://github.com/onestardao/WFGY/blob/main/ProblemMap/Multi-Agent_Problems.md) ·
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[Role Drift](https://github.com/onestardao/WFGY/blob/main/ProblemMap/multi-agent-chaos/role-drift.md) ·
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[Memory Overwrite](https://github.com/onestardao/WFGY/blob/main/ProblemMap/multi-agent-chaos/memory-overwrite.md)
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- Model sounds confident but is wrong
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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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- Model merges two sources into one answer
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Pattern: **Symbolic Constraint Unlock** →
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[Symbolic Constraint Unlock](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_symbolic_constraint_unlock.md)
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---
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## Minimal LCEL pattern with WFGY checks
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```python
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# Pseudocode. Show the control points you must keep.
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from langchain_core.runnables import RunnablePassthrough, RunnableMap
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def retrieve(q):
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# k sweep and unified analyzer across dense and sparse
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return retriever.invoke(q, k=10)
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def assemble(context, q):
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# schema-locked: system -> task -> constraints -> citations -> answer
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return prompt.format(context=context, question=q)
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def reason(msg):
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# model call runs after cite-then-explain requirement in the prompt
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return llm.invoke(msg)
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def wfgy_checks(q, context, answer):
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# compute ΔS(question, context) and trace why this snippet
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# enforce thresholds and fail fast when ΔS ≥ 0.60 or λ divergent
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return metrics_and_trace(q, context, answer)
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chain = (
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{"q": RunnablePassthrough()}
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| RunnableMap({"context": lambda x: retrieve(x["q"]), "q": lambda x: x["q"]})
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| RunnableMap({"msg": lambda x: assemble(x["context"], x["q"]), "q": lambda x: x["q"], "context": lambda x: x["context"]})
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| RunnableMap({"answer": lambda x: reason(x["msg"]), "q": lambda x: x["q"], "context": lambda x: x["context"]})
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| (lambda x: wfgy_checks(x["q"], x["context"], x["answer"]))
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)
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````
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**What this enforces**
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* Retrieval is observable and parameterized.
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* Prompt is schema locked with cite first.
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* WFGY check runs after generation and can stop the run when ΔS is high or λ flips.
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* Traces record snippet to citation mapping for audits.
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Specs and recipes
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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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## LangChain-specific gotchas
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* Mixed embedding functions across write and read paths. Rebuild with explicit metric and normalization.
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See [Embedding ≠ Semantic](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md)
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* RunnableParallel merges outputs without source fences. Add per-source headers and forbid cross-section reuse.
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See [Symbolic Constraint Unlock](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_symbolic_constraint_unlock.md)
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* Memory modules re-assert old facts after a refresh. Stamp `mem_rev` and `mem_hash`.
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See [Memory Desync](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_memory_desync.md)
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* Agents tool-call retry loops. Add BBCR bridge steps and clamp variance with BBAM in the prompt recipe.
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See [Logic Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/logic-collapse.md)
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---
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## When to escalate
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* ΔS remains ≥ 0.60 after chunk and retrieval fixes
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Work through the playbook and rebuild index parameters.
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[Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md)
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* Answers flip between runs or sessions
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Verify version skew and session state.
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[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)** — <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.
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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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