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@@ -358,7 +358,7 @@ The above tables coule be better summarized by this wonderful visualization from
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- [LangChain](https://github.com/hwchase17/langchain) — A popular Python/JavaScript library for chaining sequences of language model prompts.
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- [FLAML (A Fast Library for Automated Machine Learning & Tuning)](https://microsoft.github.io/FLAML/docs/Getting-Started/): A Python library for automating selection of models, hyperparameters, and other tunable choices.
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- [Chainlit](https://docs.chainlit.io/overview) — A Python library for making chatbot interfaces.
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-- [Guardrails.ai](https://shreyar.github.io/guardrails/) — A Python library for validating outputs and retrying failures. Still in alpha, so expect sharp edges and bugs.
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+- [Guardrails.ai](https://www.guardrailsai.com/docs/) — A Python library for validating outputs and retrying failures. Still in alpha, so expect sharp edges and bugs.
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- [Semantic Kernel](https://github.com/microsoft/semantic-kernel) — A Python/C#/Java library from Microsoft that supports prompt templating, function chaining, vectorized memory, and intelligent planning.
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- [Prompttools](https://github.com/hegelai/prompttools) — Open-source Python tools for testing and evaluating models, vector DBs, and prompts.
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- [Outlines](https://github.com/normal-computing/outlines) — A Python library that provides a domain-specific language to simplify prompting and constrain generation.
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Hannibal046