### [TextGrad](https://github.com/zou-group/textgrad)

> Handle: `textgrad`<br/>
> URL: [http://localhost:34001](http://localhost:34001)

![Logo](https://raw.githubusercontent.com/zou-group/textgrad/main/assets/logo_full.png)

<!--- BADGES: START --->
[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zou-group/TextGrad/blob/main/examples/notebooks/Prompt-Optimization.ipynb)
[![GitHub license](https://img.shields.io/badge/License-MIT-blue.svg)][#license-gh-package]
[![Arxiv](https://img.shields.io/badge/arXiv-2406.07496-B31B1B.svg)][#arxiv-paper-package]
[![Documentation Status](https://readthedocs.org/projects/textgrad/badge/?version=latest)][#docs-package]
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/textgrad)][#pypi-package]
[![PyPI](https://img.shields.io/pypi/v/textgrad)][#pypi-package]
[![Conda - Platform](https://img.shields.io/conda/pn/conda-forge/textgrad?logo=anaconda&style=flat)][#conda-forge-package]
[![Conda (channel only)](https://img.shields.io/conda/vn/conda-forge/textgrad?logo=anaconda&style=flat&color=orange)][#conda-forge-package]

[#license-gh-package]: https://lbesson.mit-license.org/
[#arxiv-paper-package]: https://arxiv.org/abs/2406.07496
[#docs-package]: https://textgrad.readthedocs.io/en/latest/?badge=latest
[#pypi-package]: https://pypi.org/project/textgrad/
[#conda-forge-package]: https://anaconda.org/conda-forge/textgrad
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An autograd engine -- for textual gradients!

TextGrad is a powerful framework building automatic ``differentiation'' via text. TextGrad implements backpropagation through text feedback provided by LLMs, strongly building on the gradient metaphor.

#### Starting

```bash
# [Optional] pre-build if needed
harbor build textgrad

# Start the service
harbor up textgrad

# Open JupyterLab server
harbor open textgrad
```

#### Configuration

Change Jupyterlab server port on your host
```bash
harbor config set textgrad.host.port 8888
```
