WFGY/ProblemMap/GlobalFixMap/Agents_Orchestration/crewai.md

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# CrewAI: Guardrails and Fix Patterns
<details>
<summary><strong>🧭 Quick Return to Map</strong></summary>
<br>
> You are in a sub-page of **Agents & Orchestration**.
> To reorient, go back here:
>
> - [**Agents & Orchestration** — orchestration frameworks and guardrails](./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.
</details>
Use this page when your orchestration uses **CrewAI** (agents, tasks, tools, crews, planning) and you see tool loops, wrong snippets, role mixing, or answers that flip between runs. The table maps symptoms to exact WFGY fix pages and gives a minimal recipe you can paste.
**Acceptance targets**
- ΔS(question, retrieved) ≤ 0.45
- Coverage ≥ 0.70 to the intended section or record
- λ stays convergent across 3 paraphrases and 2 seeds
- E_resonance stays flat on long windows
---
## Open these first
- Visual map and recovery
[RAG Architecture & Recovery](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md)
- End to end retrieval knobs
[Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md)
- Why this snippet
[Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md)
- Ordering control
[Rerankers](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rerankers.md)
- Embedding vs meaning
[Embedding ≠ Semantic](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md)
- Hallucination and chunk edges
[Hallucination](https://github.com/onestardao/WFGY/blob/main/ProblemMap/hallucination.md)
- Long chains and entropy
[Context Drift](https://github.com/onestardao/WFGY/blob/main/ProblemMap/context-drift.md) · [Entropy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/entropy-collapse.md)
- Structural collapse and recovery
[Logic Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/logic-collapse.md)
- Prompt injection and schema locks
[Prompt Injection](https://github.com/onestardao/WFGY/blob/main/ProblemMap/prompt-injection.md)
- Multi agent conflicts
[Multi-Agent Problems](https://github.com/onestardao/WFGY/blob/main/ProblemMap/Multi-Agent_Problems.md)
- Bootstrap and deployment ordering
[Bootstrap Ordering](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md) · [Deployment Deadlock](https://github.com/onestardao/WFGY/blob/main/ProblemMap/deployment-deadlock.md) · [Pre-Deploy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.md)
- Snippet and citation schema
[Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
---
## Typical breakpoints and the right fix
- **Agent to agent handoff loops or stalls**
Add BBCR bridge steps, set explicit timeouts, log λ per hop, clamp variance with BBAM.
Open: [Logic Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/logic-collapse.md) · [Multi-Agent Problems](https://github.com/onestardao/WFGY/blob/main/ProblemMap/Multi-Agent_Problems.md)
- **High similarity yet wrong meaning**
Mixed write and read embeddings, metric mismatch, or fragmented stores.
Open: [Embedding ≠ Semantic](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md) · [Vectorstore Fragmentation](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_vectorstore_fragmentation.md)
- **Hybrid retrieval performs worse than a single retriever**
Two stage query drifts, mis weighted rerank, inconsistent analyzer.
Open: [Query Parsing Split](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_query_parsing_split.md) · [Rerankers](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rerankers.md)
- **Citations missing or inconsistent across agents**
Require cite then explain and lock snippet fields at the task boundary.
Open: [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)
- **Planner injects unsafe tool prompts**
Freeze tool schemas and validate arguments before execution.
Open: [Prompt Injection](https://github.com/onestardao/WFGY/blob/main/ProblemMap/prompt-injection.md)
- **Long runs flatten style and drift logically**
Split tasks, re join with BBCR, measure entropy and stop when it rises.
Open: [Context Drift](https://github.com/onestardao/WFGY/blob/main/ProblemMap/context-drift.md) · [Entropy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/entropy-collapse.md)
---
## Fix in 60 seconds
1) **Measure ΔS**
Compute ΔS(question, retrieved) and ΔS(retrieved, expected anchor).
Stable < 0.40, transitional 0.40 to 0.60, risk 0.60.
2) **Probe λ_observe**
Do a k sweep in retrieval and reorder prompt headers. If λ flips, lock the schema and clamp with BBAM.
3) **Apply the module**
- Retrieval drift BBMC plus [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
- Reasoning collapse BBCR bridge plus BBAM, verify with [Logic Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/logic-collapse.md)
- Hallucination re entry after correction [Pattern: Hallucination Re-entry](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_hallucination_reentry.md)
4) **Verify**
Coverage 0.70. ΔS 0.45. Three paraphrases and two seeds with λ convergent.
---
## Minimal CrewAI pattern with WFGY checks
```python
# Pseudocode: highlight the control points only
from crewai import Agent, Task, Crew
def retrieve_snippets(q):
# unified analyzer and metric across dense and sparse
return retriever.search(q, k=10)
def assemble_prompt(context, q):
# schema-locked prompt with cite first
return prompt.format(context=context, question=q)
def wfgy_checks(q, context, answer):
# compute ΔS(question, context) and enforce thresholds
# record snippet_id, section_id, source_url, offsets, tokens
metrics = metrics_and_trace(q, context, answer)
if metrics["risk"]:
raise RuntimeError("WFGY gate: high ΔS or divergent λ")
return metrics
researcher = Agent(
role="retrieval",
goal="fetch auditable snippets with fields locked",
backstory="RAG specialist who always cites first"
)
writer = Agent(
role="reasoning",
goal="answer with cite then explain using the snippet schema",
backstory="keeps λ convergent and avoids cross section reuse"
)
task_retrieve = Task(
description="Retrieve k=10 with unified analyzer, return snippet schema",
agent=researcher,
expected_output="list of snippets with {snippet_id, section_id, source_url, offsets, tokens}"
)
task_answer = Task(
description="Assemble cite-first prompt and answer with strict JSON",
agent=writer,
expected_output="{citations:[...], answer:'...'}"
)
crew = Crew(agents=[researcher, writer], tasks=[task_retrieve, task_answer])
def run(question):
context = retrieve_snippets(question)
msg = assemble_prompt(context, question)
answer = crew.kickoff(inputs={"msg": msg})
metrics = wfgy_checks(question, context, answer)
return {"answer": answer, "metrics": metrics}
````
**What this enforces**
* Retrieval is observable and parameterized. Analyzer and metric are unified.
* Prompt is schema locked with cite first and strict JSON for tool outputs.
* A post generation WFGY gate can halt the run when ΔS is high or λ flips.
* Traces record snippet to citation mapping for audits.
Specs and recipes
[RAG Architecture & Recovery](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md) ·
[Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md) ·
[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)
---
## CrewAI specific gotchas
* Mixed embedding functions across write and read. Rebuild with explicit metric and normalization.
See [Embedding ≠ Semantic](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md)
* Planner emits tool prompts that bypass the schema. Always validate tool arguments and echo the schema every step.
See [Prompt Injection](https://github.com/onestardao/WFGY/blob/main/ProblemMap/prompt-injection.md)
* Memory overwrite between agents. Stamp `mem_rev` and `mem_hash`, split namespaces by agent role.
See [role drift](https://github.com/onestardao/WFGY/blob/main/ProblemMap/multi-agent-chaos/role-drift.md) · [memory desync](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_memory_desync.md)
* Event storms when multiple tasks write to the same index or KV. Add idempotency keys on `{source_id, mem_rev, index_hash}`.
See [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md)
* Long runs degrade style and flip answers. Split the plan, then re join with a BBCR bridge and clamp with BBAM.
See [Context Drift](https://github.com/onestardao/WFGY/blob/main/ProblemMap/context-drift.md)
---
## When to escalate
* ΔS remains 0.60
Rebuild the index using the checklists and verify with a small gold set.
[Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md)
* Identical input yields different answers across runs
Check version skew and session state.
[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) | 1 Download · 2 Upload to your LLM · 3 Ask Answer using WFGY + \<your question>” |
| **TXT OS (plain-text OS)** | [TXTOS.txt](https://github.com/onestardao/WFGY/blob/main/OS/TXTOS.txt) | 1⃣ Download · 2⃣ Paste into any LLM chat · 3⃣ Type “hello world” — OS boots instantly |
---
<!-- WFGY_FOOTER_START -->
### Explore More
| Layer | Page | What its 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.
[![GitHub Repo stars](https://img.shields.io/github/stars/onestardao/WFGY?style=social)](https://github.com/onestardao/WFGY)
<!-- WFGY_FOOTER_END -->