Audit Logs and Traceability

🧭 Quick Return to Map

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

• Governance — policy enforcement and compliance controls
• 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.

A governance control page for auditability, immutable logs, and lineage traceability.
Use this page when failures stem not from infra or retrieval, but from missing observability, log integrity, or provenance joins.

---

When to use this page

• Audit logs missing or mutable.
• No end-to-end trace between query, retrieval, reasoning, and output.
• Approvals and sign-offs not connected to execution logs.
• Incident response blocked because traces are incomplete.
• Waivers exist but are not visible in lineage.

---

Acceptance targets

• Immutable audit trail joinable to queries, datasets, models, and outputs.
• ΔS(question, retrieved) ≤ 0.45 logged on every governed step.
• λ_observe state recorded per step: retrieval, assembly, reasoning.
• Coverage ≥ 0.70 for audit visibility of target evals.
• 100% of sign-offs linked to their execution traces.

---

Typical breakpoints and WFGY fix

• Logs editable or deletable
  → policy_baseline.md
  Require immutable storage and governance policy baseline.

• Disconnected traces (retriever not tied to model output)
  → retrieval-traceability.md
  Enforce snippet schema and trace joins.

• No lineage link to approvals
  → roles_and_access_rbac_abac.md
  Require RBAC/ABAC enforcement in sign-off logs.

• Waivers invisible
  → risk_register_and_waivers.md
  Join every waiver to audit and risk ledger.

• Incidents not reconstructable
  → incident_response_and_postmortems.md
  Ensure forensic traceability across events.

---

Minimal audit checklist

1. Immutable storage: append-only, cryptographic hashes on logs.
2. Trace schema enforced: every event has query_id, snippet_id, model_rev, λ_state, ΔS.
3. Lineage join: connect logs to datasets, model versions, and eval runs.
4. Governance sign-off linkage: every approval recorded, linked to execution.
5. Alerts on trace gaps or missing coverage.
6. Forensic reconstruction: ensure full replay possible within 60 seconds.

---

Example log schema

{
  "query_id": "q-2025-08-27-991",
  "snippet_id": "s-4329",
  "model_rev": "v2.1.4",
  "retrieved": "doc:2025A/line#220-240",
  "ΔS": 0.37,
  "λ_state": "→",
  "coverage": 0.74,
  "signoff_link": "signoff-2025-08-26",
  "waiver_ref": null,
  "hash": "sha256:8ac9..."
}

---

🔗 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

If this repository helped, starring it improves discovery so more builders can find the docs and tools.