| # Hazy Research | |
| This page covers how to use the Hazy Research ecosystem within LangChain. | |
| It is broken into two parts: installation and setup, and then references to specific Hazy Research wrappers. | |
| ## Installation and Setup | |
| - To use the `manifest`, install it with `pip install manifest-ml` | |
| ## Wrappers | |
| ### LLM | |
| There exists an LLM wrapper around Hazy Research's `manifest` library. | |
| `manifest` is a python library which is itself a wrapper around many model providers, and adds in caching, history, and more. | |
| To use this wrapper: | |
| ```python | |
| from langchain.llms.manifest import ManifestWrapper | |
| ``` | |