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SGLang is a high-performance serving framework for large language models and multimodal models.

A high-throughput and memory-efficient inference and serving engine for LLMs

Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek, Qwen, Llama, Gemma, TTS 2x faster with 70% less VRAM.

The conversational control layer for customer-facing AI agents - Parlant is a context-engineering framework optimized for controlling customer interactions.