mirror of
https://github.com/kennethreitz/langchain.git
synced 2026-06-05 23:00:18 +00:00
hiigao
f818ec49b8
### Description: To provide an eas llm service access methods in this pull request by impletementing `PaiEasEndpoint` and `PaiEasChatEndpoint` classes in `langchain.llms` and `langchain.chat_models` modules. Base on this pr, langchain users can build up a chain to call remote eas llm service and get the llm inference results. ### About EAS Service EAS is a Alicloud product on Alibaba Cloud Machine Learning Platform for AI which is short for AliCloud PAI. EAS provides model inference deployment services for the users. We build up a llm inference services on EAS with a general llm docker images. Therefore, end users can quickly setup their llm remote instances to load majority of the hugginface llm models, and serve as a backend for most of the llm apps. ### Dependencies This pr does't involve any new dependencies. --------- Co-authored-by: 子洪 <gaoyihong.gyh@alibaba-inc.com>
Website
This website is built using Docusaurus 2, a modern static website generator.
Installation
$ yarn
Local Development
$ yarn start
This command starts a local development server and opens up a browser window. Most changes are reflected live without having to restart the server.
Build
$ yarn build
This command generates static content into the build directory and can be served using any static contents hosting service.
Deployment
Using SSH:
$ USE_SSH=true yarn deploy
Not using SSH:
$ GIT_USER=<Your GitHub username> yarn deploy
If you are using GitHub pages for hosting, this command is a convenient way to build the website and push to the gh-pages branch.
Continuous Integration
Some common defaults for linting/formatting have been set for you. If you integrate your project with an open-source Continuous Integration system (e.g. Travis CI, CircleCI), you may check for issues using the following command.
$ yarn ci