TextGrad

No phone app

6.6No. 14 of 27
in AI Prompt Generators
  • Recognised40% of the score59
  • Phone app26% of the score0
  • Documented20% of the score82
  • Free plan14% of the score30
Free plan
No
Runs on
self-hosted

Summary

TextGrad is ranked #14 of 27 in AI prompt generators on Samsung Mobile US Press. It runs on Self-hosted.

Compared on AI prompt generators

Free plan
Yestextgrad.com
Model support
multipletextgrad.com
Optimization mode
automatedtextgrad.com
Prompt variables
Yestextgrad.com
Prompt testing
Yestextgrad.com
API access
Yestextgrad.com

Facts

Product
TextGrad is a Python package for building LLM-gradient pipelines that optimize text.textgrad.com · 4 Oct 2026
How it works
The framework implements backpropagation through natural-language feedback provided by LLMs.textgrad.readthedocs.io · 4 Oct 2026
API style
TextGrad offers an API for defining loss functions and optimizing them with text feedback, modeled on PyTorch’s API.textgrad.readthedocs.io · 4 Oct 2026
Optimization targets
The project describes optimizing text, code, solutions to problems, molecules, and prompts.github.com · 4 Oct 2026
Use cases
The site highlights coding, scientific problem solving, reasoning, chemistry, and medicine applications.textgrad.com · 4 Oct 2026
Install
The documentation says to install TextGrad with pip using `pip install textgrad`.textgrad.readthedocs.io · 4 Oct 2026
Additional installs
The repository also documents conda-forge installation, a GitHub development install, and an optional vLLM extra.github.com · 4 Oct 2026
Model providers
The repository says its experimental LiteLLM engine supports models available through LiteLLM, including Bedrock, Together, and Gemini.github.com · 4 Oct 2026
Credentials
The project’s tutorials say an OpenAI or Anthropic key is needed to run the LLMs in those tutorials.github.com · 4 Oct 2026
License
The repository provides the software under the MIT License, which includes an “AS IS” warranty disclaimer.github.com · 4 Oct 2026
Support
The repository asks users to report issues with its experimental engines but does not specify a support service or response time.github.com · 4 Oct 2026
Intended users
The site says TextGrad mirrors PyTorch’s syntax and abstraction, and that people who know PyTorch will find it familiar.textgrad.com · 4 Oct 2026
Research status
The repository states that TextGrad was published in Nature on 19 March 2025.github.com · 4 Oct 2026

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