Haystack Agents — Guardrails and Fix Patterns

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Agents & Orchestration — orchestration frameworks and guardrails

WFGY Global Fix Map — main Emergency Room, 300+ structured fixes

WFGY Problem Map 1.0 — 16 reproducible failure modes

Think of this page as a desk within a ward.
If you need the full triage and all prescriptions, return to the Emergency Room lobby.

Use this when your pipeline is built with deepset Haystack Agents and Tools and you observe wrong snippets, unstable top k orders, tool loops, or citation gaps. The map below routes symptoms to exact WFGY fixes.

Open these first

Visual map and recovery: RAG Architecture & Recovery
Retrieval knobs: Retrieval Playbook
Traceability schema: Retrieval Traceability
Schema contracts: Data Contracts
Hybrid control: Rerankers
Chunking and hallucination: Hallucination

Core acceptance

ΔS(question, retrieved) ≤ 0.45
Coverage ≥ 0.70 for the intended section
λ convergent across three paraphrases

Fix in 60 seconds

Measure ΔS
Compare question to retrieved and to the intended anchor.
Lock the pipeline
Fix the header order. Enforce cite-first. Require strict tool JSON.
Apply the module

Retrieval drift → BBMC plus Data Contracts
Order instability → add Rerankers with explicit metric
Hybrid regression → Query Parsing Split

Verify
Three paraphrases pass ΔS and coverage thresholds.

Typical Haystack breakpoints → exact fixes

Retriever pipelines mix different analyzers
Rebuild with a unified analyzer and metric.
Open: Embedding ≠ Semantic
Agent loops on tool outputs
Add BBCR bridge steps and timeouts.
Open: Multi-Agent Problems
Citations missing or misaligned
Enforce snippet schema and cite then explain.
Open: Retrieval Traceability, Data Contracts
Hybrid search underperforms
Use deterministic reranking with score normalization.
Open: Rerankers

Minimal Haystack agent pattern with WFGY gate

Pipeline:
  - Retriever(k sweep 5, 10, 20 with one analyzer)
  - Prompt with fixed headers: system → task → constraints → citations → answer
  - Model call
  - WFGY gate to compute ΔS and log λ
  - Stop when ΔS ≥ 0.60 or λ divergent and return fix tip

Gotchas

Mixing BM25 and dense without normalization gives unstable orders.
Tool output not validated causes downstream JSON errors.
Document stores with heterogeneous tokenization contaminate scores.

When to escalate

Persistent ΔS ≥ 0.60 after chunk and metric fixes Open: Retrieval Playbook
Live flips between runs Open: Pre-Deploy Collapse

🔗 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 based tension engine
Engine	WFGY 2.0	Production tension kernel and math engine for RAG and agents
Engine	WFGY 3.0	TXT based Singularity tension engine, 131 S class set
Map	Problem Map 1.0	Flagship 16 problem RAG failure checklist and fix map
Map	Problem Map 2.0	RAG focused recovery pipeline
Map	Problem Map 3.0	Global Debug Card, image as a debug protocol layer
Map	Semantic Clinic	Symptom to family to exact fix
Map	Grandma’s Clinic	Plain language stories mapped to Problem Map 1.0
Onboarding	Starter Village	Guided tour for newcomers
App	TXT OS	TXT semantic OS, fast boot
App	Blah Blah Blah	Abstract and paradox Q and A built on TXT OS
App	Blur Blur Blur	Text to image with semantic control
App	Blow Blow Blow	Reasoning game engine and memory demo

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