# Hugging Face TGI: Guardrails and Fix Patterns
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> - [**LocalDeploy_Inference** — on-prem deployment and model inference](./README.md)
> - [**WFGY Global Fix Map** — main Emergency Room, 300+ structured fixes](../README.md)
> - [**WFGY Problem Map 1.0** — 16 reproducible failure modes](../../README.md)
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Stabilization guide for **Text Generation Inference (TGI)**, the Hugging Face high-throughput serving stack.
Use these checks when local inference works in notebooks but collapses when deployed via TGI servers.
---
## Open these first
* Visual recovery: [RAG Architecture & Recovery](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md)
* Retrieval tuning knobs: [Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md)
* Snippet traceability: [retrieval-traceability.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md)
* Ordering & race fixes: [bootstrap-ordering.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md), [deployment-deadlock.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/deployment-deadlock.md), [predeploy-collapse.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.md)
* Embedding issues: [embedding-vs-semantic.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md)
---
## Core acceptance
* ΔS(question, retrieved) ≤ 0.45
* Coverage ≥ 0.70 for target section
* λ remains convergent across 3 paraphrases and 2 seeds
* Responses remain stable across concurrent clients (no flip-flops)
---
## Typical TGI breakpoints and fix
| Symptom | Likely cause | Fix |
| ------------------------------------------------- | --------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Logs show healthy, outputs differ across replicas | Worker desync / weight loading skew | [bootstrap-ordering.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md), [predeploy-collapse.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.md) |
| Citations disappear under concurrent load | Async merge loses trace offsets | [retrieval-traceability.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md), [data-contracts.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md) |
| ΔS rises >0.60 when concurrency >10 | Context fragmentation across shards | [context-drift.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/context-drift.md), [entropy-collapse.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/entropy-collapse.md) |
| Errors vanish in dry run, appear in production | Race condition in warm-up path | [deployment-deadlock.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/deployment-deadlock.md) |
| JSON outputs invalid at scale | Schema loosening during parallel decode | [logic-collapse.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/logic-collapse.md), [data-contracts.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md) |
---
## Fix in 60 seconds
1. **Batch probe**: Run same query at concurrency=1 and concurrency=16.
If ΔS only rises at higher concurrency, lock async merging.
2. **λ probe**: Test 3 paraphrases, 2 seeds. If λ flips, apply BBAM variance clamp.
3. **Contracts**: Require `snippet_id`, `offsets`, `tokens` in every response.
4. **Warm-up fencing**: Run dummy batch before live serve to sync workers.
5. **Verify**: Replay test dataset at concurrency=32. Expect stable ΔS ≤ 0.45.
---
## Copy-paste test prompt
```txt
I am running Hugging Face TGI for local inference.
Concurrent clients sometimes cause unstable answers.
Question: "{user_question}"
Please return:
1. ΔS at concurrency=1 vs concurrency=16
2. λ across paraphrases
3. Whether citations are preserved
4. Minimal fix module if ΔS ≥ 0.60
```
---
### 🔗 Quick-Start Downloads (60 sec)
| Tool | Link | 3-Step Setup |
| -------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------- |
| **WFGY 1.0 PDF** | [Engine Paper](https://github.com/onestardao/WFGY/blob/main/I_am_not_lizardman/WFGY_All_Principles_Return_to_One_v1.0_PSBigBig_Public.pdf) | 1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + \” |
| **TXT OS (plain-text OS)** | [TXTOS.txt](https://github.com/onestardao/WFGY/blob/main/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 | Canonical framework entry point | [View](https://github.com/onestardao/WFGY/tree/main/core/README.md) |
| Problem Map | Diagnostic map and navigation hub | [View](https://github.com/onestardao/WFGY/tree/main/ProblemMap/README.md) |
| Tension Universe Experiments | MVP experiment field | [View](https://github.com/onestardao/WFGY/tree/main/TensionUniverse/Experiments) |
| Recognition | Where WFGY is referenced or adopted | [View](https://github.com/onestardao/WFGY/blob/main/recognition/README.md) |
| AI Guide | Anti-hallucination reading protocol for tools | [View](https://github.com/onestardao/WFGY/blob/main/AI_GUIDE.md) |
> If this repository helps, starring it improves discovery for other builders.
> [](https://github.com/onestardao/WFGY)