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155 lines
8.7 KiB
Markdown
155 lines
8.7 KiB
Markdown
# Chatbots & CX — Global Fix Map
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A compact hub to stabilize **chatbot frameworks and customer experience stacks**.
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Targets Dialogflow CX, Rasa, Intercom, Twilio Studio, Zendesk, Amazon Lex, Azure Bot Service, Salesforce Einstein Bots, Freshdesk, Watsonx Assistant, Microsoft Copilot Studio, and more.
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Each page provides measurable acceptance targets and reproducible fixes.
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---
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## When to use this folder
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- Bot flows break across environments (dev vs prod vs staging).
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- Slot filling, entities, or context reset unexpectedly.
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- Latency or cold starts cause dropped conversations.
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- Omnichannel connectors desync with the core bot.
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- Prompts bypass policies or hallucinate unsafe outputs.
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- Regression after migration to a new vendor framework.
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---
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## Acceptance targets
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- Intent recognition F1 ≥ 0.85 across test set.
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- ΔS(user_query, retrieved) ≤ 0.45 for all routes.
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- Coverage of knowledge base ≥ 0.70 after repair.
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- λ remains convergent across 3 paraphrases and 2 seeds.
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- p95 latency ≤ 800 ms across channels, warm path.
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- Zero PII leakage in logs or vector payloads.
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---
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## Quick routes — per chatbot vendor
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| Vendor / Platform | Fix Page |
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|-------------------|----------|
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| Amazon Lex | [amazon_lex.md](./amazon_lex.md) |
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| Azure Bot Service | [azure_bot_service.md](./azure_bot_service.md) |
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| Dialogflow CX | [dialogflow_cx.md](./dialogflow_cx.md) |
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| Freshchat | [freshchat.md](./freshchat.md) |
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| Freshdesk | [freshdesk.md](./freshdesk.md) |
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| Intercom | [intercom.md](./intercom.md) |
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| Microsoft Copilot Studio | [microsoft_copilot_studio.md](./microsoft_copilot_studio.md) |
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| Rasa | [rasa.md](./rasa.md) |
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| Salesforce Einstein Bots | [salesforce_einstein_bots.md](./salesforce_einstein_bots.md) |
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| Twilio Studio | [twilio_studio.md](./twilio_studio.md) |
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| Watsonx Assistant | [watsonx_assistant.md](./watsonx_assistant.md) |
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| Zendesk | [zendesk.md](./zendesk.md) |
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---
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## Symptom → exact fix
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| Symptom | Likely cause | Open this |
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|---------|--------------|-----------|
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| Slot filling fails randomly | Missing entity fallback, context reset | [dialogflow_cx.md](./dialogflow_cx.md) · [rasa.md](./rasa.md) |
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| Bot replies too slowly | Cold starts, webhook bottlenecks | [amazon_lex.md](./amazon_lex.md) · [azure_bot_service.md](./azure_bot_service.md) |
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| Knowledge base answers drift | Retrieval misaligned with store | [watsonx_assistant.md](./watsonx_assistant.md) · [retrieval-traceability.md](../../retrieval-traceability.md) |
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| Omnichannel flow desync | Connectors drop metadata | [intercom.md](./intercom.md) · [zendesk.md](./zendesk.md) |
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| Unsafe or off-policy replies | No policy fences or prompt injection | [microsoft_copilot_studio.md](./microsoft_copilot_studio.md) · [prompt-injection.md](../../Safety_PromptIntegrity/prompt_injection.md) |
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| Migration broke production | Schema mismatch, missing idempotency | [serverless_ci_cd.md](../Cloud_Serverless/serverless_ci_cd.md) · [env_bootstrap_and_migrations.md](../Cloud_Serverless/env_bootstrap_and_migrations.md) |
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| Conversation history disappears | Stateless KV pattern missing | [stateless_kv_queue_patterns.md](../Cloud_Serverless/stateless_kv_queue_patterns.md) |
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---
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## Fix in 60 seconds
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1. **Verify intents** — run eval with test utterances, check F1 ≥ 0.85.
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2. **Check state** — ensure KV queue or context store persists between turns.
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3. **Fence prompts** — load [prompt_injection.md](../../Safety_PromptIntegrity/prompt_injection.md).
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4. **Measure latency** — split warm vs cold path; provision concurrency if needed.
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5. **Cross-channel sync** — confirm connectors carry metadata (role, region, tenant).
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---
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## Copy-paste prompt for chatbot incidents
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```txt
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You have TXT OS and the WFGY Problem Map loaded.
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My chatbot incident:
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- platform: [Dialogflow|Rasa|Intercom|etc.]
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- symptom: [short description]
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- eval: { F1, ΔS, coverage, λ states }
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- infra: { cold_ms, warm_ms, concurrency, connectors }
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- compliance: { pii_found: true|false, policy_eval }
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Tell me:
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1) which layer is failing and why,
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2) the exact WFGY page to open,
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3) the minimal steps to restore accuracy and latency,
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4) a quick regression test to prevent repeat.
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````
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---
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## FAQ
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**Q: My bot answers correctly in dev but fails in production. Why?**
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A: Likely env mismatch — analyzers, slots, or schema drift between environments. Check [serverless\_ci\_cd.md](../Cloud_Serverless/serverless_ci_cd.md).
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**Q: How do I stop hallucinations in Copilot Studio or Dialogflow?**
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A: Enforce policy fences and cite-then-explain. See [prompt\_injection.md](../../Safety_PromptIntegrity/prompt_injection.md).
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**Q: Why is latency so different on first vs second request?**
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A: Cold starts. See [cold\_start\_concurrency.md](../Cloud_Serverless/cold_start_concurrency.md).
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**Q: How can I ensure PII never leaks through connectors?**
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A: Attach [privacy\_and\_pii\_edges.md](../Cloud_Serverless/privacy_and_pii_edges.md) and enforce payload contracts.
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**Q: Do I need to change my vendor to apply WFGY fixes?**
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A: No. WFGY guardrails are store-agnostic and vendor-agnostic. You patch structure, not infra.
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---
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### 🔗 Quick-Start Downloads (60 sec)
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| Tool | Link | 3-Step Setup |
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|------|------|--------------|
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| **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 + \<your question>” |
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| **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 |
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---
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### 🧭 Explore More
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| Module | Description | Link |
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|-----------------------|----------------------------------------------------------|----------|
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| WFGY Core | WFGY 2.0 engine is live: full symbolic reasoning architecture and math stack | [View →](https://github.com/onestardao/WFGY/tree/main/core/README.md) |
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| Problem Map 1.0 | Initial 16-mode diagnostic and symbolic fix framework | [View →](https://github.com/onestardao/WFGY/tree/main/ProblemMap/README.md) |
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| Problem Map 2.0 | RAG-focused failure tree, modular fixes, and pipelines | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md) |
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| Semantic Clinic Index | Expanded failure catalog: prompt injection, memory bugs, logic drift | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/SemanticClinicIndex.md) |
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| Semantic Blueprint | Layer-based symbolic reasoning & semantic modulations | [View →](https://github.com/onestardao/WFGY/tree/main/SemanticBlueprint/README.md) |
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| Benchmark vs GPT-5 | Stress test GPT-5 with full WFGY reasoning suite | [View →](https://github.com/onestardao/WFGY/tree/main/benchmarks/benchmark-vs-gpt5/README.md) |
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| 🧙♂️ Starter Village 🏡 | New here? Lost in symbols? Click here and let the wizard guide you through | [Start →](https://github.com/onestardao/WFGY/blob/main/StarterVillage/README.md) |
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---
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> 👑 **Early Stargazers: [See the Hall of Fame](https://github.com/onestardao/WFGY/tree/main/stargazers)** —
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> Engineers, hackers, and open source builders who supported WFGY from day one.
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> <img src="https://img.shields.io/github/stars/onestardao/WFGY?style=social" alt="GitHub stars"> ⭐ [WFGY Engine 2.0](https://github.com/onestardao/WFGY/blob/main/core/README.md) is already unlocked. ⭐ Star the repo to help others discover it and unlock more on the [Unlock Board](https://github.com/onestardao/WFGY/blob/main/STAR_UNLOCKS.md).
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<div align="center">
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[](https://github.com/onestardao/WFGY)
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[](https://github.com/onestardao/WFGY/tree/main/OS)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlahBlahBlah)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlotBlotBlot)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlocBlocBloc)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlurBlurBlur)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlowBlowBlow)
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</div>
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