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On the recordRead 5 Oct 202619 facts
TextGrad
On the record
- Additional installs
- The repository also documents conda-forge installation, a GitHub development install, and an optional vLLM extra.github.com · read 4 Oct 2026
- API style
- Its API resembles PyTorch and lets users define loss functions and optimize variables using text feedback.textgrad.readthedocs.io · read 5 Oct 2026
- Credentials
- The project’s tutorials say an OpenAI or Anthropic key is needed to run the LLMs in those tutorials.github.com · read 4 Oct 2026
- How it works
- The framework implements backpropagation through natural-language feedback provided by LLMs.textgrad.readthedocs.io · read 4 Oct 2026
- Install
- The documentation gives `pip install textgrad` as an installation command.textgrad.readthedocs.io · read 5 Oct 2026
- Integrations
- The maker's GitHub README says a LiteLLM-based engine supports models available through LiteLLM, including Bedrock, Together, and Gemini.github.com · read 5 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 · read 4 Oct 2026
- License
- The maker's GitHub repository lists the project license as MIT.github.com · read 5 Oct 2026
- Local model use
- The maker's GitHub repository documents an external OpenAI-compatible client, with LM Studio as an example.github.com · read 5 Oct 2026
- Maintainers
- The website lists TextGrad team members affiliated with Stanford University.textgrad.com · read 5 Oct 2026
- Method
- It implements backpropagation through textual feedback provided by language models.textgrad.readthedocs.io · read 5 Oct 2026
- Model access
- The maker's GitHub README says its tutorials require an OpenAI or Anthropic key to run the language models.github.com · read 5 Oct 2026
- Model providers
- The repository says its experimental LiteLLM engine supports models available through LiteLLM, including Bedrock, Together, and Gemini.github.com · read 4 Oct 2026
- Optimization targets
- The documentation shows TextGrad optimizing text answers and prompts.textgrad.readthedocs.io · read 5 Oct 2026
- Product
- TextGrad is a Python package for building LLM-gradient pipelines that optimize text.textgrad.com · read 5 Oct 2026
- Research status
- The repository states that TextGrad was published in Nature on 19 March 2025.github.com · read 4 Oct 2026
- Security
- The official website and documentation pages reviewed do not state security or compliance features.textgrad.com · read 5 Oct 2026
- Support
- The official website links to API documentation and a public GitHub repository for source code.textgrad.com · read 5 Oct 2026
