# Asana — Guardrails and Fix Patterns
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> You are in a sub-page of **Automation Platforms**. > To reorient, go back here: > > - [**Automation Platforms** — stabilize no-code workflows and integrations](./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) > > 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 when your RAG or agent flow is orchestrated through **Asana** (rules, webhooks, custom apps) and behavior drifts: tasks duplicate, sections race, or citations don’t match the source. **Acceptance targets** - ΔS(question, retrieved) ≤ 0.45 - coverage ≥ 0.70 to the target section - λ remains convergent across 3 paraphrases --- ## Typical breakpoints → exact fixes - Webhooks or rules trigger **before** data/index is actually ready Fix No.14: **Bootstrap Ordering** → [Bootstrap Ordering](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md) - First run after deploy crashes or uses the wrong secret Fix No.16: **Pre-Deploy Collapse** → [Pre-Deploy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.md) - Parallel automations create circular waits (task → comment → external job → task) Fix No.15: **Deployment Deadlock** → [Deployment Deadlock](https://github.com/onestardao/WFGY/blob/main/ProblemMap/deployment-deadlock.md) - High cosine similarity but the retrieved text is not the intended meaning Fix No.5: **Embedding ≠ Semantic** → [Embedding ≠ Semantic](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md) - Citations don’t match snippets or “why this snippet?” is opaque Fix No.8: **Retrieval Traceability** → [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md) Standardize payloads with **Data Contracts** → [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md) - Hybrid retrieval via external tools performs worse than single retriever Pattern: **Query Parsing Split** → [Query Parsing Split](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_query_parsing_split.md) Also review **Rerankers** → [Rerankers](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rerankers.md) - Facts are indexed but never surface Pattern: **Vectorstore Fragmentation** → [Vectorstore Fragmentation](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_vectorstore_fragmentation.md) - Status rollups blend two sources into one narrative Pattern: **Symbolic Constraint Unlock (SCU)** → [Symbolic Constraint Unlock](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_symbolic_constraint_unlock.md) --- ## Minimal Asana workflow checklist 1) **Warm-up fence** Before any LLM step, call a health endpoint that verifies `VECTOR_READY`, `INDEX_HASH`, `secret_rev`. If not ready, delay/requeue. Spec: [Bootstrap Ordering](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md) 2) **Idempotency** Build `dedupe_key = sha256(task.gid + wf_rev + index_hash)` and store it (custom field or external KV). Drop duplicates on retries. 3) **RAG boundary contract** Always pass `snippet_id`, `section_id`, `source_url`, `offsets`, `tokens`, `project_gid`. Enforce **cite-then-explain**. Specs: [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md) · [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md) 4) **Observability probes** Log ΔS(question, retrieved) and λ per stage; alert on ΔS ≥ 0.60 or divergent λ. Overview map: [RAG Architecture & Recovery](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md) 5) **Single writer** Route task/comments/field updates through one writer branch or one integration user with a mutex. See: [Deployment Deadlock](https://github.com/onestardao/WFGY/blob/main/ProblemMap/deployment-deadlock.md) 6) **Regression gate** Require coverage ≥ 0.70 and ΔS ≤ 0.45 before posting summaries back to Asana. Eval spec: [RAG Precision/Recall](https://github.com/onestardao/WFGY/blob/main/ProblemMap/eval/eval_rag_precision_recall.md) --- ## Copy-paste prompt for the Asana LLM step ``` I uploaded TXT OS and the WFGY Problem Map files. This Asana flow retrieved {k} snippets with fields {snippet\_id, section\_id, source\_url, offsets, project\_gid}. Question: "{user\_question}" Do: 1. Enforce cite-then-explain. If any citation is missing, stop and return which fix page to open. 2. Compute ΔS(question, retrieved). If ΔS ≥ 0.60, point me to the minimal structural fix: retrieval-playbook, retrieval-traceability, data-contracts, rerankers. 3. Output compact JSON: { "citations": \[...], "answer": "...", "λ\_state": "→|←|<>|×", "ΔS": 0.xx, "next\_fix": "..." } ``` --- ## Common Asana gotchas - **Webhook retries** produce duplicate tasks/comments Use the `dedupe_key` and a KV lock; make writes idempotent. - **Project/section renames** break downstream references Pass `project_gid` and `section_id` explicitly in the data contract. - **Parallel rules** edit the same fields Funnel edits through a single writer branch or queue. - **External rate limits** destabilize hybrids Prefer dense retriever + reranking, keep per-retriever params logged. --- ## When to escalate - ΔS remains ≥ 0.60 after chunk/retrieval fixes → rebuild index with explicit metric/normalization. See: [Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md) - Same input yields different answers across runs → check version skew and memory desync. See: [Pre-Deploy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.md) --- ### 🔗 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 | Layer | Page | What it’s for | | --- | --- | --- | | ⭐ Proof | [WFGY Recognition Map](/recognition/README.md) | External citations, integrations, and ecosystem proof | | ⚙️ Engine | [WFGY 1.0](/legacy/README.md) | Original PDF tension engine and early logic sketch (legacy reference) | | ⚙️ Engine | [WFGY 2.0](/core/README.md) | Production tension kernel for RAG and agent systems | | ⚙️ Engine | [WFGY 3.0](/TensionUniverse/EventHorizon/README.md) | TXT based Singularity tension engine (131 S class set) | | 🗺️ Map | [Problem Map 1.0](/ProblemMap/README.md) | Flagship 16 problem RAG failure taxonomy and fix map | | 🗺️ Map | [Problem Map 2.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card for RAG and agent pipeline diagnosis | | 🗺️ Map | [Problem Map 3.0](/ProblemMap/wfgy-ai-problem-map-troubleshooting-atlas.md) | Global AI troubleshooting atlas and failure pattern map | | 🧰 App | [TXT OS](/OS/README.md) | .txt semantic OS with fast bootstrap | | 🧰 App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q&A built on TXT OS | | 🧰 App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image generation with semantic control | | 🏡 Onboarding | [Starter Village](/StarterVillage/README.md) | Guided entry point for new users | If this repository helped, starring it improves discovery so more builders can find the docs and tools. 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