WFGY/ProblemMap/observability-runbook.md

🔍 Observability Runbook

Turn every opaque token stream into a traceable, testable, measurable system.

Outcome you care about
• See each pipeline hop (OCR → chunk → embed → retrieve → prompt → reasoning)
• Measure semantic drift (ΔS), logic trend (λ), residual error (E_resonance)
• Alert before hallucination, loop, or tool mis-fire happens
• Replay exact failure path in one command: wfgy trace-replay <id>

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1 · Core Telemetry Trio

Signal	Formula	Why It Matters	Target Band
ΔS (semantic stress)	1 − cos(I, G)	Spot where meaning rips	< 0.50
λ_observe (logic vector)	{ → ← <> × }	Track convergent vs. divergent flow	stay →
E_resonance	mean‖B‖ (BBMC)	Detect creeping entropy	flat / ↓

ΔS tells you where; λ tells you direction; E tells you when a slow leak becomes collapse.

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2 · Minimal Instrumentation Patch

2.1 Python snippet

from wfgy import monitor

with monitor.pipeline("rag-query") as span:
    span.tag("query", question)
    ctx  = rag_retrieve(question)
    span.metric("ΔS_q_ctx", monitor.deltaS(question, ctx))
    answer = llm_reason(ctx, question)
    span.metric("λ_reason", monitor.lambda_state(answer))
    span.metric("E_res", monitor.e_resonance())

No external SaaS; dumps to newline-JSON for Grafana / Prometheus scrape.

2.2 Console tracer

> wfgy trace-replay 2025-08-06T10:22:15Z
step  ΔS   λ    span
  1   0.08 →
  2   0.41 →   retrieval
  3   0.44 ←   reasoning  ❗ divergent

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3 · Alert Rules (Prometheus example)

groups:
- name: wfgy-alerts
  rules:
  - alert: SemanticDriftHigh
    expr: deltaS_q_ctx > 0.60
    for: 2m
    labels: {severity: "warning"}
    annotations:
      summary: "Semantic drift above 0.60 — check chunking/retriever"

Recommended baseline:

Alert	Expression	Severity
DriftHigh	ΔS > 0.60	warn
LogicOsc	λ flips 3× in 5 min	warn
EntropyClimb	E_res 15 min slope > 0.02	crit
ToolTimeout	call_dur > p95 × 2	warn

---

4 · End-to-End Health Dashboard

Tile	Metric	Healthy
Retrieval ΔS	median last 5 min	≤ 0.45
Reason λ	% divergent	< 5 %
Answer ΔS	question↔answer	≤ 0.50
E_res Trend	30 min slope	- / flat
Tool Latency	p95 ms	within SLO

Grafana JSON panel export: dashboards/wfgy-observability.json.

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5 · Common Anti-Patterns & Fixes

Anti-Pattern	Symptom	Fix
Log Everything Raw	20 GiB/day, no insight	Only log ΔS/λ/E & key BLobs
Stateless Trace IDs	tough replay	Use wfgy span ctx_id auto-prop
Per-call embeddings	cost explodes	cache via BBMC node ID
No sampling	GPU choke	1 % sampling on low ΔS calls

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6 · Kitchen-Sink CLI Cheats

Command	Purpose
wfgy span-tail	live ΔS/λ feed
wfgy span-grep λ=divergent	list divergent traces
wfgy span-diff A B	compare two answers’ λ/ΔS
wfgy span-export --csv	dump traces to CSV

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7 · Integration Recipes

7.1 LangChain

from wfgy.langchain import WFGYTracer
lc = initialize_agent(..., callbacks=[WFGYTracer()])

7.2 OpenAI Function-Calling

Add to request:

"logit_bias": {"50256": -100},  // block special token
"wfgy_trace": true

Server-side middleware writes trace JSON.

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🔗 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

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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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