WFGY/ProblemMap/GlobalFixMap/Agents_Orchestration/openai_assistants_v2.md

OpenAI Assistants v2 — Guardrails and Fix Patterns

Use this page for Assistants API v2 threads and runs when you hit tool JSON errors, missing citations, vector store mismatches, or state flips across retries. The map below routes each symptom to an exact WFGY fix.

Open these first

• Visual map and recovery: RAG Architecture & Recovery
• Retrieval knobs: Retrieval Playbook
• Traceability and schema: Retrieval Traceability, Data Contracts
• Hybrid order control: Rerankers
• Deploy order: Bootstrap Ordering

Core acceptance

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

---

Fix in 60 seconds

1. Measure ΔS
   Compare question to retrieved and to the intended anchor.

2. Stabilize thread and run
   Pin assistant_id, freeze tool list and JSON schemas, and store index_hash with the thread.

3. Apply the module

• Retrieval drift or wrong file selected → BBMC and Data Contracts
• Tool call loops → BBCR bridge and timeouts with strict schemas
• Missing or wrong citations → Retrieval Traceability

4. Verify
   Three paraphrases meet ΔS and coverage. λ stays convergent.

---

Typical Assistants v2 breakpoints → exact fixes

• Files attached but the wrong chunk is used
  Index metric mismatch or analyzer drift.
  Open: Embedding ≠ Semantic

• Run state flips between retry and resume
  Version skew or missing fences.
  Open: Pre-Deploy Collapse

• Tool JSON rejected with vague errors
  Relaxed schemas in prompt but strict in tool spec. Align both and echo schema at each step.
  Open: Prompt Injection

• Hybrid retrieval underperforms the simple retriever
  Two stage query split without rerank.
  Open: Query Parsing Split, Rerankers

---

Minimal Assistants v2 pattern with WFGY gate

Thread:
  - Attach files with stored index_hash
  - Record vector_ready and analyzer info
Run:
  - Retrieve(k = 10, unified analyzer)
  - Prompt headers in fixed order with cite-first
  - Model call
  - WFGY gate computes ΔS and logs λ
  - Stop when ΔS ≥ 0.60 or λ divergent and return fix tip

---

Gotchas

• Mixing per file embeddings and global store without normalization.
• Recreating assistants on every request changes tool order and plan.
• Streaming partial results before schema checks leads to silent corruption.

---

When to escalate

• Persistent ΔS ≥ 0.60 after chunk and metric fixes Open: Retrieval Playbook

• Live flips with identical inputs 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

Module	Description	Link
WFGY Core	WFGY 2.0 engine is live: full symbolic reasoning architecture and math stack	View →
Problem Map 1.0	Initial 16-mode diagnostic and symbolic fix framework	View →
Problem Map 2.0	RAG-focused failure tree, modular fixes, and pipelines	View →
Semantic Clinic Index	Expanded failure catalog: prompt injection, memory bugs, logic drift	View →
Semantic Blueprint	Layer-based symbolic reasoning & semantic modulations	View →
Benchmark vs GPT-5	Stress test GPT-5 with full WFGY reasoning suite	View →
🧙‍♂️ Starter Village 🏡	New here? Lost in symbols? Click here and let the wizard guide you through	Start →

---

👑 Early Stargazers: See the Hall of Fame ⭐ WFGY Engine 2.0 is already unlocked. ⭐ Star the repo to help others discover it and unlock more on the Unlock Board.