WFGY/ProblemMap/GlobalFixMap/Automation/ghl.md

GoHighLevel (GHL) — Guardrails and Fix Patterns

🧭 Quick Return to Map

You are in a sub-page of Automation Platforms.
To reorient, go back here:

• Automation Platforms — stabilize no-code workflows and integrations
• 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.

This page is for workflows orchestrated inside GoHighLevel.
Use it when your RAG or agent flow runs through GHL Workflows, Webhooks, or Custom Actions and starts to misbehave.

Acceptance targets

• ΔS(question, retrieved) ≤ 0.45
• coverage ≥ 0.70 to the target section
• λ stays convergent across 3 paraphrases

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Typical breakpoints → exact fixes

• Triggers fire before data or index is actually ready
  Fix No.14: Bootstrap Ordering →
  bootstrap-ordering.md

• First call after deploy crashes or picks the wrong secret
  Fix No.16: Pre-Deploy Collapse →
  predeploy-collapse.md

• Circular waits between CRM updates, webhooks, background jobs
  Fix No.15: Deployment Deadlock →
  deployment-deadlock.md

• High cosine similarity but the meaning is off
  Fix No.5: Embedding ≠ Semantic →
  embedding-vs-semantic.md

• Snippet feels unrelated or citations don’t match the source
  Fix No.8: Retrieval Traceability →
  retrieval-traceability.md
  Contract the payload with Data Contracts →
  data-contracts.md

• Hybrid retrieval (external tools) does worse than a single retriever
  Pattern: Query Parsing Split →
  pattern_query_parsing_split.md
  Also review Rerankers →
  rerankers.md

• Facts are indexed yet never show up
  Pattern: Vectorstore Fragmentation →
  pattern_vectorstore_fragmentation.md

• Two sources get blended into one answer in long flows
  Pattern: Symbolic Constraint Unlock (SCU) →
  pattern_symbolic_constraint_unlock.md

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Minimal GHL workflow checklist

1. Warm-up fence
   Before any LLM step, ping a health endpoint that checks VECTOR_READY, INDEX_HASH, and secret_rev.
   If not ready, delay or requeue. Spec lives in
   bootstrap-ordering.md.

2. Idempotency
   Build dedupe_key = sha256(contact_id + wf_rev + index_hash) in a Custom Action.
   Store in KV or a custom field, drop duplicates.

3. RAG boundary contract
   Always pass snippet_id, section_id, source_url, offsets, tokens.
   Enforce cite then explain. Specs:
   retrieval-traceability.md · data-contracts.md

4. Observability probes
   Log ΔS(question, retrieved) and λ per stage. Alert on ΔS ≥ 0.60 or λ divergent.
   Overview map:
   RAG Architecture & Recovery

5. Single writer
   Route CRM writes and external publishes through one writer branch with dedupe.
   See: deployment-deadlock.md

6. Regression gate
   Require coverage ≥ 0.70 and ΔS ≤ 0.45 before publish.
   Eval spec:
   eval_rag_precision_recall.md

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Copy-paste prompt for the GHL LLM step

I uploaded TXT OS and the WFGY Problem Map files.
This GHL workflow retrieved {k} snippets with fields {snippet\_id, section\_id, source\_url, offsets}.
Question: "{user\_question}"

Do:

1. Enforce cite-then-explain. If any citation is missing, stop and return which fix page to open.
2. Compute ΔS(question, retrieved). If ΔS ≥ 0.60, point me to the minimal structural fix:
   retrieval-playbook, retrieval-traceability, data-contracts, rerankers.
3. Output compact JSON:
   { "citations": \[...], "answer": "...", "λ\_state": "→|←|<>|×", "ΔS": 0.xx, "next\_fix": "..." }

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Common GHL gotchas

• Connection switching between staging and prod.
  Stamp env, INDEX_HASH, secret_rev in traces and block on mismatch.

• Parallel branches touching the same contact or store.
  Use a mutex or single writer, keep writes idempotent.

• Webhook payload silently renames fields.
  Validate against the data contract before the LLM.

• External rate limits make hybrids unstable.
  Prefer dense retriever plus reranking, keep params logged.

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When to escalate

• ΔS stays ≥ 0.60 after chunk and retrieval fixes → rebuild index with explicit metric and normalization.
  See retrieval-playbook.md

• Same input flips answers between runs → check version skew and memory desync.
  See predeploy-collapse.md

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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

Module	Description	Link
WFGY Core	Canonical framework entry point	View
Problem Map	Diagnostic map and navigation hub	View
Tension Universe Experiments	MVP experiment field	View
Recognition	Where WFGY is referenced or adopted	View
AI Guide	Anti-hallucination reading protocol for tools	View

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