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Patterns — Failure Catalog (Problem Map 2.0)

This folder is a field guide to recurring failures in RAG and multi-stage LLM pipelines.
Each pattern is actionable: fast signals, root causes, a minimal repro, a deterministic fix, and links to hands-on examples (SDK-free, stdlib-only).

How to use this folder

  1. Start with the symptom you’re seeing.
  2. Open the matching pattern and run the Minimal Repro + Standard Fix.
  3. Wire the acceptance criteria into CI (see Example 08) so the fix stays fixed.

Quick Index

Pattern Problem Map No. Symptoms you’ll see Fix entrypoint
RAG Semantic Drift (pattern_rag_semantic_drift.md) No.1 Plausible but ungrounded answers; citations don’t contain the claim Example 01, Example 03
Memory Desync (pattern_memory_desync.md) — (State/Context) Old names/IDs reappear; agents disagree across turns Example 04
Vector Store Fragmentation (pattern_vectorstore_fragmentation.md) No.3 Recall flips across envs; score scales change; rank inversions Example 05
Hallucination Re-Entry (pattern_hallucination_reentry.md) — (Provenance) Model’s prior text shows up as “evidence”; non-corpus sources cited Example 06
Bootstrap Deadlock (pattern_bootstrap_deadlock.md) No.14 /readyz stuck/flapping; circular waits at startup Example 07
Query Parsing Split (pattern_query_parsing_split.md) — (Parsing) Multi-intent prompts answered partially or mixed Example 03, Example 04
Symbolic Constraint Unlock (SCU) (pattern_symbolic_constraint_unlock.md) No.11 (Symbolic collapse) “Must/Only/Never” rules vanish mid-pipeline; impossible states Example 03, Example 04, Example 08

Legend: Problem Map numbers refer to root categories used across the repo. “—” means cross-cutting (not a single number).

Pick-a-Pattern in 30 Seconds (Triage Flow)

  1. Grounding first — Run Example 01 on a few failing questions.
    • If refusal behavior or citations fail ⇒ go to Semantic Drift.
  2. Context/state sanity — Check context_id / mem_rev/hash.
    • Mismatch ⇒ Memory Desync.
  3. Index parity — Validate index_out/manifest.json vs runtime.
    • Drift or score scale shift ⇒ Vector Store Fragmentation.
  4. Provenance — Inspect source for cited ids.
    • Any model|chat|tmp: ⇒ Hallucination Re-Entry.
  5. Startup — If the first minute after deploy is flaky ⇒ Bootstrap Deadlock.
  6. Query shape — If the prompt mixes “compare… then draft…” ⇒ Query Parsing Split.
  7. Logic rules — If answers cross “must/only/never” boundaries ⇒ SCU.

Standard Acceptance Gates (copy to CI)

  • Guarded Output: either exact refusal token not in context or JSON with claim + citations:[id,…] scoped to retrieved ids.
  • Provenance: all citations pass the corpus-only filter (no chat:/draft:/tmp:).
  • Context Consistency: if used, context_id.mem_rev/hash echoes the turn snapshot.
  • Constraint Integrity (SCU): constraints_echo ≡ locked set; no contradiction patterns matched.
  • Quality Gates (Ex.08): precision≥0.80, under-refusal≤0.05, citation hit rate≥0.75.

File Layout

See ../examples/ for runnable, stdlib-only code referenced in each pattern.

Contributing (tight process)

  1. Propose a new pattern via issue labels: pattern-proposal, with minimal repro + acceptance gate.
  2. Stabilize with an example (Python or Node, stdlib-only).
  3. Add to this README only after approval.
  4. Guard with Example 08 metrics before shipping a pattern-driven fix.

🔗 Quick-Start Downloads (60 sec)

Tool Link 3-Step Setup
WFGY 1.0 PDF Engine Paper 1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + <your question>”
TXT OS (plain-text OS) TXTOS.txt 1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly

Explore More

Layer Page What it’s for
⭐ Proof WFGY Recognition Map External citations, integrations, and ecosystem proof
⚙️ Engine WFGY 1.0 Original PDF tension engine and early logic sketch (legacy reference)
⚙️ Engine WFGY 2.0 Production tension kernel for RAG and agent systems
⚙️ Engine WFGY 3.0 TXT based Singularity tension engine (131 S class set)
🗺️ Map Problem Map 1.0 Flagship 16 problem RAG failure taxonomy and fix map
🗺️ Map Problem Map 2.0 Global Debug Card for RAG and agent pipeline diagnosis
🗺️ Map Problem Map 3.0 Global AI troubleshooting atlas and failure pattern map
🧰 App TXT OS .txt semantic OS with fast bootstrap
🧰 App Blah Blah Blah Abstract and paradox Q&A built on TXT OS
🧰 App Blur Blur Blur Text to image generation with semantic control
🏡 Onboarding Starter Village Guided entry point for new users

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