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OpenAI Assistants v2 — Guardrails and Fix Patterns

🧭 Quick Return to Map

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

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.

🧭 Quick Return to Map

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

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 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

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
  1. 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

🔗 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

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