# WFGY – Public API Specs & ONNX Graphs
*Version 1.0 · last updated 2025-06-12*
WFGY is open by design.
To guarantee that each module can be inspected, audited, or re-implemented,
we publish (1) a concise API spec and (2) a lightweight ONNX graph for every
core component.
Download the `.onnx` files and open them in **[Netron](https://netron.app)**
or any ONNX viewer to see the exact computation graph—no black box, no
hidden layers.
| Module | API spec | ONNX graph |
|--------|----------|-----------|
| **BBMC**
_Semantic Residue_ | [`bbmc_api.md`](bbmc_api.md) | [`onnx/bbmc.onnx`](onnx/bbmc.onnx) |
| **BBPF**
_Progression Flow_ | [`bbpf_api.md`](bbpf_api.md) | [`onnx/bbpf.onnx`](onnx/bbpf.onnx) |
| **BBCR**
_Collapse–Rebirth_ | [`bbcr_api.md`](bbcr_api.md) | [`onnx/bbcr.onnx`](onnx/bbcr.onnx) |
| **BBAM**
_Attention Modulator_ | [`bbam_api.md`](bbam_api.md) | [`onnx/bbam.onnx`](onnx/bbam.onnx) |
---
## Re-exporting the graphs
All four graphs are intentionally **tiny** (~20 KB each) so they build in
seconds and reveal the tensor flow without shipping proprietary weights.
```bash
# in repo root
python export_onnx.py
````
This script recreates the folder structure:
```
specs/
├── onnx/
│ ├── bbam.onnx
│ ├── bbcr.onnx
│ ├── bbmc.onnx
│ └── bbpf.onnx
└── *.md # human-readable API specs
```
Feel free to replace these dummy graphs with full-precision weights
if you need exact numerical reproduction.
---
## License & Citation
The API descriptions and ONNX graphs are released under the MIT license.
If you use WFGY in research, please cite the Zenodo release:
```
PSBigBig, “WFGY 1.0: A Self-Healing Variance Gate for LLMs,”
```
> Any issue / PR is welcome—open science thrives on transparency.
```
---
### Will Colab runs change after adding this folder?
No. `specs/` is pure documentation.
All examples (`example_01`–`08`), tests, and the SDK itself remain identical,
so you can keep running the original Colab notebook without any modification.
```
---
### 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.
[](https://github.com/onestardao/WFGY)