README.md

---
language: en
license: apache-2.0
tags:
  - webbee
  - code-generation
  - text2text-generation
  - t5
  - onnx
datasets:
  - synthetic
pipeline_tag: text2text-generation
---

# WebBee Delegate Models

Fine-tuned T5-small models used by [WebBee](https://github.com/learosema/webbee) —
a plain-English web development agent — for its Tier 2a inference pipeline.

Each model is an ONNX int8-quantised export of a T5-small checkpoint trained on
synthetic data. They run locally via [`@xenova/transformers`](https://huggingface.co/docs/transformers.js)
with no GPU required.

## Models

### `goal-to-steps/`

Decomposes a high-level development goal into a sequence of concrete WebBee commands.
This is WebBee-specific: the model knows the agent's verb vocabulary (`add`, `inject`,
`install`, `add route`, `add hook`, …) and the idiomatic step format used throughout
the system.

| | |
| --- | --- |
| **Task** | `text2text-generation` |
| **Input** | Natural-language goal (e.g. `"add authentication"`) |
| **Output** | Pipe-separated WebBee steps (e.g. `"add component LoginForm \| add hook useAuth \| add route api/auth"`) |
| **Training examples** | 533 synthetic goal→steps pairs across 8 categories |

## Usage

```js
import { pipeline } from '@xenova/transformers';

const generator = await pipeline(
  'text2text-generation',
  'learosema/webbee-delegate-models',
  { subfolder: 'goal-to-steps' }
);

const result = await generator('add authentication');
console.log(result[0].generated_text);
// → add component LoginForm | add hook useAuth | add route api/auth
```

## Training

Models were trained and exported using the scripts in
[`packages/delegate-model/`](https://github.com/learosema/webbee/tree/main/packages/delegate-model)
of the WebBee repository.

Base model: [`google/t5-small`](https://huggingface.co/google/t5-small)  
Quantization: ONNX int8 via [`optimum`](https://huggingface.co/docs/optimum)

## License

Apache 2.0 — same as the base T5-small model.