Agents & Orchestration — Global Fix Map

A hub to stabilize agent frameworks and orchestration layers without changing your infra. Use this page to jump to per-tool guardrails and verify fixes with the same acceptance targets.

Quick routes to per-framework pages

LangChain → langchain.md
LangGraph → langgraph.md
LlamaIndex → llamaindex.md
CrewAI → crewai.md
Smolagents → smolagents.md
Rewind Agents → rewind_agents.md
AutoGen → autogen.md
Semantic Kernel → semantic_kernel.md
Haystack Agents → haystack_agents.md
OpenAI Assistants v2 → openai_assistants_v2.md

When to use this folder

Agents loop or stall on tool calls.
High similarity yet the answer cites the wrong section.
Hybrid retrieval underperforms a single retriever.
Answers flip between runs with identical input.
JSON schemas fail or pass inconsistently.
Memories re-assert stale facts after refresh or handoff.
First call after deploy crashes or uses the wrong index.

Acceptance targets for any orchestrator

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

Map symptoms → structural fixes (Problem Map)

Embedding ≠ Semantic
Wrong-meaning hits despite high similarity.
→ embedding-vs-semantic.md
Retrieval traceability
Suspect or missing citations and unverifiable sections.
→ retrieval-traceability.md
Payload schema → data-contracts.md
Ordering and version skew
Old index or analyzer used at runtime, or deploy race.
→ bootstrap-ordering.md · deployment-deadlock.md · predeploy-collapse.md
Hybrid collapse and query split
Hybrid pipelines underperform single retriever.
→ Pattern: pattern_query_parsing_split.md
Ordering control → rerankers.md
Hallucination and chunk drift
Plausible but wrong chunks or blended sources.
→ hallucination.md
Re-entry loop → pattern_hallucination_reentry.md
Long chain instability
Style flattening, entropy spikes, dead ends.
→ context-drift.md · entropy-collapse.md
Agent role conflicts
Role confusion, memory overwrite, unsafe handoffs.
→ Multi-Agent_Problems.md ·
role-drift.md ·
memory-overwrite.md ·
Namespaces split → pattern_memory_namespace_split.md
Prompt injection and schema drift
Tool schemas allow free text or header order changes.
→ prompt-injection.md

60-second fix checklist

Measure
Compute ΔS(question, retrieved) and ΔS(retrieved, anchor). If ΔS ≥ 0.60 stop and repair chunking or metric first.
Lock the schema
Fix prompt header order. Enforce cite-then-explain. Require strict tool JSON. Add idempotency keys for side effects.
Split memory
Create per-agent and per-tool namespaces with mem_rev and mem_hash. Deny cross-namespace merges without a reducer.
Clamp variance
Insert a BBCR bridge on long chains. Use deterministic reranking for hybrid. Add timeouts to tool loops.
Verify
Coverage ≥ 0.70 on three paraphrases. λ convergent on two seeds.
Bootstrap sanity → agent_bootstrap_checklist.md

Copy-paste prompt for your LLM step

You have TXTOS and the WFGY Problem Map loaded.

My agent-orchestration issue:
- framework: <langchain | crewai | autogen | llamaindex | smolagents | semantic-kernel | haystack | assistants-v2>
- symptom: <one line>
- traces: ΔS(q,retrieved)=..., ΔS(retrieved,anchor)=..., λ over last 3 steps
- memory: namespaces used? mem_rev, mem_hash present?

Tell me:
1) failing layer and why,
2) the exact WFGY page to open,
3) the minimal structural fix to push ΔS ≤ 0.45 and keep λ convergent,
4) a reproducible test to verify the fix.
Use BBMC, BBCR, BBPF, BBAM where relevant.

Common gotchas

Mixed embedding functions across write and read paths. Scores look high but meaning is wrong.
Hybrid pipelines without deterministic rerank produce unstable top k and flip states.
Agents recreate tool registries per run. Order and JSON schemas drift.
Shared memories without namespaces cause re-entry of stale facts after refresh.
First live run executes before stores are ready. See bootstrap and deploy pages above.

🔗 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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