mirror of
https://github.com/BerriAI/litellm.git
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24c2cd1bd9
* fix(handler.py): support routing custom llm's to chat completion handler Adds custom llm support for anthropic * test(test_anthropic_experimental_pass_through_messages_handler.py): add unit test confirming custom llm respected * docs(custom_llm_server.md): document anthropic custom llm translation * test(volcengine.py): map thinking in extra body Fixes https://github.com/BerriAI/litellm/issues/11879 * feat(main.py): support `azure/responses/<deployment-name>` model string this allows us to route the model correctly Closes https://github.com/BerriAI/litellm/issues/11879 * docs(azure_responses.md): document calling azure responses api models via chat completions bridge Closes https://github.com/BerriAI/litellm/issues/11917 * fix: fix custom provider check * test: update tests |
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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.