<div align="center" id="top">
# XGrammar
[](https://xgrammar.mlc.ai/docs/)
[](https://github.com/mlc-ai/xgrammar/blob/main/LICENSE)
[](https://pypi.org/project/xgrammar)
**Efficient, Flexible and Portable Structured Generation**
[Get Started](#get-started) | [Documentation](https://xgrammar.mlc.ai/docs/) | [Blogpost](https://blog.mlc.ai/2024/11/22/achieving-efficient-flexible-portable-structured-generation-with-xgrammar) | [Technical Report](https://arxiv.org/abs/2411.15100)
</div>
## News
- [2025/01] XGrammar has been officially integrated into [TensorRT-LLM](https://github.com/NVIDIA/TensorRT-LLM).
- [2024/12] XGrammar has been officially integrated into [vLLM](https://github.com/vllm-project/vllm).
- [2024/12] We presented research talks on XGrammar at CMU Catalyst, Berkeley SkyLab, MIT HANLAB, THU IIIS, Ant Group, SGLang Meetup and Qingke AI. The slides can be found [here](https://docs.google.com/presentation/d/1iS7tu2EV4IKRWDaR0F3YD7ubrNqtGYUStSskceneelc/edit?usp=sharing).
- [2024/11] XGrammar has been officially integrated into [SGLang](https://github.com/sgl-project/sglang).
- [2024/11] XGrammar has been officially integrated into [MLC-LLM](https://github.com/mlc-ai/mlc-llm).
- [2024/11] We officially released XGrammar v0.1.0!
## Overview
XGrammar is an open-source library for efficient, flexible, and portable structured generation.
It supports general context-free grammar to enable a broad range of structures while bringing careful system optimizations to enable fast executions.
XGrammar features a minimal and portable C++ backend that can be easily integrated into multiple environments and frameworks,
and is co-designed with the LLM inference engine and enables zero-overhead structured generation in LLM inference.
## Get Started
Please visit our [documentation](https://xgrammar.mlc.ai/docs/) to get started with XGrammar.
- [Installation](https://xgrammar.mlc.ai/docs/start/install)
- [Quick start](https://xgrammar.mlc.ai/docs/start/quick_start)
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"description": "<div align=\"center\" id=\"top\">\n\n# XGrammar\n\n[](https://xgrammar.mlc.ai/docs/)\n[](https://github.com/mlc-ai/xgrammar/blob/main/LICENSE)\n[](https://pypi.org/project/xgrammar)\n\n**Efficient, Flexible and Portable Structured Generation**\n\n\n[Get Started](#get-started) | [Documentation](https://xgrammar.mlc.ai/docs/) | [Blogpost](https://blog.mlc.ai/2024/11/22/achieving-efficient-flexible-portable-structured-generation-with-xgrammar) | [Technical Report](https://arxiv.org/abs/2411.15100)\n\n</div>\n\n## News\n- [2025/01] XGrammar has been officially integrated into [TensorRT-LLM](https://github.com/NVIDIA/TensorRT-LLM).\n- [2024/12] XGrammar has been officially integrated into [vLLM](https://github.com/vllm-project/vllm).\n- [2024/12] We presented research talks on XGrammar at CMU Catalyst, Berkeley SkyLab, MIT HANLAB, THU IIIS, Ant Group, SGLang Meetup and Qingke AI. The slides can be found [here](https://docs.google.com/presentation/d/1iS7tu2EV4IKRWDaR0F3YD7ubrNqtGYUStSskceneelc/edit?usp=sharing).\n- [2024/11] XGrammar has been officially integrated into [SGLang](https://github.com/sgl-project/sglang).\n- [2024/11] XGrammar has been officially integrated into [MLC-LLM](https://github.com/mlc-ai/mlc-llm).\n- [2024/11] We officially released XGrammar v0.1.0!\n\n## Overview\n\n\nXGrammar is an open-source library for efficient, flexible, and portable structured generation.\nIt supports general context-free grammar to enable a broad range of structures while bringing careful system optimizations to enable fast executions.\nXGrammar features a minimal and portable C++ backend that can be easily integrated into multiple environments and frameworks,\nand is co-designed with the LLM inference engine and enables zero-overhead structured generation in LLM inference.\n\n\n\n## Get Started\n\nPlease visit our [documentation](https://xgrammar.mlc.ai/docs/) to get started with XGrammar.\n- [Installation](https://xgrammar.mlc.ai/docs/start/install)\n- [Quick start](https://xgrammar.mlc.ai/docs/start/quick_start)\n",
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