awesome-ChatGPT-repositories
Section: Langchain · SGLang is a fast serving framework for large language models and vision language models.
FreshScore 87
Entry
SGLang
Appears in 9 awesome lists
(MPL-2.0) allows specifying JSON schemas using regular expressions or Pydantic models for constrained decoding. Its high-performance runtime accelerates JSON decoding.
Open github.comsgl-project/sglang
Found in these lists
Awesome LLM JSON List
Section: Python Libraries · (MPL-2.0) allows specifying JSON schemas using regular expressions or Pydantic models for constrained decoding. Its high-performance runtime accelerates JSON decoding.
StaleScore 55
Awesome LLM Resources
Section: 推理 Inference · SGLang is yet another fast serving framework for large language models and vision language models.
FreshScore 87
Awesome local LLM
Section: Inference engines · a fast serving framework for large language models and vision language models
FreshScore 87
awesome-nlp
Section: Efficient and Small Language Models · structured generation and efficient serving.
FreshScore 90
Awesome Open Source AI
Section: 3. Inference Engines & Serving · Next-gen serving framework with RadixAttention. Powers xAI's production workloads at 100K+ GPUs scale.
FreshScore 89
Awesome Production Machine Learning
Section: Deployment and Serving · SGLang is a fast serving framework for large language models and vision language models.
FreshScore 92
Awesome Python
Section: AI and Agents · A high-performance serving framework for large language models and multimodal models.
FreshScore 94
awesome-python
Section: Other · SGLang is a high-performance serving framework for large language models and multimodal models.
FreshScore 81
Often listed next to it
LangChain
Langchain integrates various providers like Anthropic, AWS, and OpenAI, and offers tools for components such as LLMs, chat models, and data analysis, supporting functionalities from Alpha Vantage to YouTube github | docs
In 20 listsDetails
LiteLLM
Unified proxy and SDK that routes to 100+ LLM providers behind a single OpenAI-compatible interface, with a Router handling retry/fallback across deployments, per-project cost and rate-limit tracking, and OTEL callback integrations. The right infrastructure layer when your harness needs provider…
In 16 listsDetails
LlamaIndex
(MIT) provides modules for structured outputs at different levels of abstraction, including output parsers for text completion endpoints, Pydantic programs for mapping prompts to structured outputs using function calling or output parsing, and pre-defined Pydantic programs for specific output types.
In 14 listsDetails
LocalAI
robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. Features: Generate Text, Audio, Video,…
In 14 listsDetails
Mem0
Mem0 is an intelligent memory layer for Large Language Models that enhances personalized AI experiences by retaining and utilizing contextual information across various applications. github | website | docs | discord | twitter | github profile | linkedin
In 13 listsDetails
PydanticAI
June 2026 harness-first redesign built around the Capability primitive: a single composable unit bundling instructions, tools, lifecycle hooks, and model settings. The split between a small stable core and a fast-moving pydantic-ai-harness lets capabilities graduate as they prove essential, while…
In 12 listsDetails