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It offers a set of free, open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB). | It is the interface between your app and hosted LLMs. It streamlines API requests to OpenAI, Anthropic, Mistral, LLama2, Anyscale, Google Gemini, and more with a unified API. |
Open-source, self-hostable tools;
Enable developers to evaluate using familiar interfaces;
Run experiments in notebooks and evaluate the outputs;
Turn evaluations into unit tests and integrate them into your CI/CD workflow via GitHub Actions | Blazing fast (9.9x faster) with a tiny footprint (~45kb installed);
Load balance across multiple models, providers, and keys;
Fallbacks make sure your app stays resilient;
Automatic Retries with exponential fallbacks come by default;
Plug-in middleware as needed;
Battle-tested over 100B tokens |
Statistics | |
GitHub Stars 3.0K | GitHub Stars 9.8K |
GitHub Forks 247 | GitHub Forks 775 |
Stacks 0 | Stacks 2 |
Followers 1 | Followers 4 |
Votes 0 | Votes 0 |
Integrations | |

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It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.

It allows you to run open-source large language models, such as Llama 2, locally.