WFGY/ProblemMap/GlobalFixMap/Agents_Orchestration/README.md

Agents & Orchestration — Global Fix Map

🏥 Quick Return to Emergency Room

You are in a specialist desk.
For full triage and doctors on duty, return here:

• WFGY Global Fix Map — main Emergency Room, 300+ structured fixes
• WFGY Problem Map 1.0 — 16 reproducible failure modes

Think of this page as a sub-room.
If you want full consultation and prescriptions, go back to the Emergency Room lobby.

A practical hub to stabilize multi-agent and tool-augmented workflows.
Most “agent bugs” are not model issues. They come from role mixups, tool schema drift, uncontrolled loops, and cold-boot ordering. This page routes symptoms to structural fixes with measurable targets.

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Orientation: pick your orchestration layer

Framework	What it is	Typical use	Link
Autogen	Multi-agent collaboration patterns	Debate, reviewer loops, tool arbitration	autogen.md
CrewAI	Role-based project crews	Task pipelines with clear roles	crewai.md
Haystack Agents	RAG-centric agents from deepset	Retrieval-heavy assistants	haystack_agents.md
LangChain	Largest ecosystem of tools/memory	Rapid prototyping, complex chains	langchain.md
LangGraph	Graph execution over LC	Stateful paths, loops, guards	langgraph.md
LlamaIndex	Knowledge-first orchestration	RAG pipelines, index control	llamaindex.md
OpenAI Assistants v2	First-party assistants API	Files, tools, code-interpreter	openai_assistants_v2.md
Rewind Agents	Context replay paradigms	User-state reconstruction	rewind_agents.md
Semantic Kernel	MS orchestration SDK	Plugins, plans, .NET/TS stacks	semantic_kernel.md
Smolagents	Minimalistic agent runtime	Constrained envs, fast spin-up	smolagents.md

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Core acceptance targets

• ΔS(question, retrieved) ≤ 0.45
• Coverage ≥ 0.70 for the target section
• λ stays convergent across 3 paraphrases and 2 seeds
• E_resonance remains flat on long windows

These targets let you ship safely regardless of framework.

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Fix Hub — symptoms mapped to structural pages

Symptom	Likely cause	Open this
JSON mode breaks, invalid tool objects	Tool protocol too loose	Data Contracts
Agents overwrite each other’s memory	Namespace collision, missing locks	Pattern: memory-namespace split in patterns
Run loops never end	Unbounded cycles, missing guards	logic-collapse.md
High similarity yet wrong snippet	Metric/store mismatch or fragmentation	embedding-vs-semantic.md
Alternating answers across runs	Prompt header reorder, λ flips	context-drift.md, retrieval-traceability.md
First live call fails after deploy	Cold boot and ordering issues	bootstrap-ordering.md, predeploy-collapse.md
Tool storms and rate limits	Missing backoff and budgets	Ops: rate-limit backpressure, timeouts in ops/

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Minimal agent contract

1. Separate memory namespaces
   One namespace per agent. Writes guarded by mem_rev and mem_hash.
2. Strict tool schemas
   Enforce JSON schemas. Reject free-text arguments and responses.
3. Path guards
   Max steps, variance clamp, and illegal cross-path suppression.
4. Traceability first
   Cite then explain. Require {snippet_id, section_id, source_url, offsets, tokens}.
5. Boot ordering
   Do not accept traffic until index hash, analyzer, and model versions match.
6. Observability
   Log ΔS and λ across retrieve → rerank → reason. Alert at ΔS ≥ 0.60.

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60-second triage

1. Measure ΔS for question vs retrieved and vs anchor.
2. Probe λ by varying top-k and prompt headers. If λ flips, clamp variance and lock the schema.
3. Apply
   Retrieval drift → BBMC + Data Contracts
   Reasoning collapse → BBCR bridge + BBAM
   Dead ends → BBPF alternate paths
4. Verify
   Coverage ≥ 0.70 on three paraphrases. λ convergent on two seeds.

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FAQ

Why do agents step on each other’s memory?
Shared state without namespaces. Split memory by agent and lock writes.

Why do I get infinite loops after adding a reviewer agent?
No path guards. Add step caps and illegal cross-path suppression.

Why does tool calling randomly fail JSON?
Your tool protocol allows prose. Enforce strict JSON schemas both ways.

Why is dev stable but prod flips answers?
Boot order and analyzer mismatch. Warm the index and verify hashes before traffic.

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🔗 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

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🧭 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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