mirror of
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* build(model_prices_and_context_window.json): update groq models to specify 'supports_vision' parameter Closes https://github.com/BerriAI/litellm/issues/7433 * docs(groq.md): add groq vision example to docs Closes https://github.com/BerriAI/litellm/issues/7433 * fix(prometheus.py): refactor self.litellm_proxy_failed_requests_metric to use label factory * feat(prometheus.py): new 'litellm_proxy_failed_requests_by_tag_metric' allows tracking failed requests by tag on proxy * fix(prometheus.py): fix exception logging * feat(prometheus.py): add new 'litellm_request_total_latency_by_tag_metric' enables tracking latency by use-case * feat(prometheus.py): add new llm api latency by tag metric * feat(prometheus.py): new litellm_deployment_latency_per_output_token_by_tag metric allows tracking deployment latency by tag * fix(prometheus.py): refactor 'litellm_requests_metric' to use enum values + label factory * feat(prometheus.py): new litellm_proxy_total_requests_by_tag metric allows tracking total requests by tag * feat(prometheus.py): new metric litellm_deployment_successful_fallbacks_by_tag allows tracking deployment fallbacks by tag * fix(prometheus.py): new 'litellm_deployment_failed_fallbacks_by_tag' metric allows tracking failed fallbacks on deployment by custom tag * test: fix test * test: rename test to run earlier * test: skip flaky test |
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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.