- Add OpenAITokenCounter using POST /v1/responses/input_tokens endpoint - Add litellm.acount_tokens() public async API that auto-routes to provider APIs - Add proxy endpoint POST /v1/responses/input_tokens for OpenAI-compatible counting - Transform chat tools format to Responses API format for correct token counting - Fall back to local tiktoken when provider API unavailable Fixes #22302 |
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| blog | ||
| docs | ||
| img | ||
| release_notes | ||
| src | ||
| static | ||
| .gitignore | ||
| .trivyignore | ||
| babel.config.js | ||
| Dockerfile | ||
| docusaurus.config.js | ||
| index.md | ||
| package-lock.json | ||
| package.json | ||
| README.md | ||
| sidebars.js | ||
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.