Together: Guardrails and Fix Patterns

A compact field guide for stabilizing Together workflows. This page assumes you route across many models with one API. It helps you localize the failure, then jump to the exact WFGY fix page with measurable targets.

Open these first

Visual map and recovery: RAG Architecture & Recovery
End-to-end retrieval knobs: Retrieval Playbook
Why this snippet (traceability schema): Retrieval Traceability
Ordering control: Rerankers
Embedding vs meaning: Embedding ≠ Semantic
Hallucination and chunk boundaries: Hallucination
Long chains and entropy: Context Drift, Entropy Collapse
Symbolic collapse and recovery: Logic Collapse
Prompt injection and schema locks: Prompt Injection
Multi-agent conflicts: Multi-Agent Problems
Bootstrap and deploy issues: Bootstrap Ordering, Deployment Deadlock, Pre-deploy Collapse
Snippet and citation schema: Data Contracts

Core acceptance

ΔS(question, retrieved) ≤ 0.45
Coverage ≥ 0.70 to the target section
λ remains convergent across three paraphrases and two seeds

Fix in 60 seconds

Measure ΔS
Compute ΔS(question, retrieved) and ΔS(retrieved, expected anchor).
Thresholds: stable < 0.40, transitional 0.40–0.60, risk ≥ 0.60.
Probe with λ_observe
Vary k in retrieval (5, 10, 20). If ΔS stays flat and high, suspect metric or index mismatch.
Reorder prompt headers; if ΔS spikes, lock the schema.
Apply the module

Retrieval drift → BBMC plus Data Contracts.
Reasoning collapse → BBCR bridge plus BBAM variance clamp, then verify with Logic Collapse.
Hallucination re-entry after correction → Pattern: Hallucination Re-entry.

Typical Together breakpoints and the right fix

Model slug or route drift. Fallback to a different model family changes tokenizer, max tokens, or safety rules.
→ Log slugs in the trace, freeze route parameters with a contract, and re-run the same seed.
Open: Retrieval Traceability, Data Contracts, Pre-deploy Collapse
Tool/JSON protocol not uniform across models. Free-text tool returns or partial JSON spike ΔS and flip λ.
→ Enforce strict schemas, echo the schema each step, and validate before execution.
Open: Prompt Injection, Logic Collapse
Tokenizer/segment mismatch after model swap. Chunk boundaries no longer align with citations.
→ Rebuild snippet schema, prefer reranking, and verify anchors.
Open: Embedding ≠ Semantic, Rerankers, Retrieval Playbook
Streaming fragment loss or interleaving in batch jobs. Out-of-order tokens or mixed seeds corrupt the trace.
→ Attach run_id, enforce ordered sinks, idempotency keys, and per-request seed isolation.
Open: Data Contracts, patterns: memory_desync
Hybrid retrieval underperforms a single retriever. HyDE + BM25 query split across models yields unstable top-k.
→ Lock the two-stage query and add a deterministic reranker.
Open: Pattern: Query Parsing Split, Rerankers
Safety refusal hides the cited snippet. Different families enforce different blocks.
→ Use citation-first prompting and SCU to unlock lawful quotes.
Open: Retrieval Traceability, Pattern: SCU
Cold boot or first call fails after deploy. Missing secrets or version skew in the router.
→ Validate order and readiness before hitting the model.
Open: Bootstrap Ordering, Deployment Deadlock

Deep diagnostics

Three-paraphrase probe. Ask the same question three ways. Log ΔS and λ. If λ flips on harmless paraphrase, clamp with BBAM and tighten snippet schema.
Anchor triangulation. Compare ΔS to the expected anchor and to a decoy section. If ΔS is close for both, re-chunk and re-embed.
Route stability audit. For the same seed, assert identical slug, stop set, max tokens, and tool schema across runs. Any variance is a router bug.
Open: Context Drift, Entropy Collapse

Escalate and structural fixes

Index or metric mismatch. ΔS stays high across seeds. Rebuild with semantic chunking and a small gold set.
Open: Embedding ≠ Semantic, Chunking Checklist
Live instability or oscillating answers. Add live probes and backoff guards, then gate on eval.
Open: Live Monitoring for RAG, Debug Playbook

Copy-paste prompt


You have TXTOS and the WFGY Problem Map loaded.

My Together issue:

* model\_slug: "<slug>", params: {temperature: ..., top\_p: ..., max\_tokens: ...}
* symptom: <one line>
* traces: ΔS(question,retrieved)=..., ΔS(retrieved,anchor)=..., λ across 3 paraphrases
* routing: {seed: <n>, stream: \<on/off>, batch: <size>}

Tell me:

1. failing layer and why,
2. the exact WFGY page to open next,
3. the minimal steps to push ΔS ≤ 0.45 and keep λ convergent,
4. a reproducible test to verify the fix.
   Use BBMC, BBPF, BBCR, BBAM when relevant.

🔗 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 →

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