Use LLMs to run map-reduce summarization tasks on large documents until a target token size is met.

Display language model outputs in your React project.

LLM eval & testing toolkit

[llm-ui](https://llm-ui.com) markdown block.

Typescript bindings for langchain

micromark extension to support math (`$C_L$`, `\(C_L\)`)

Detox driver for Wix Pilot usage

Enforce real-time token budgets and spending limits for OpenAI, Anthropic Claude, and Google Gemini API calls in Node.js

[llm-ui](https://llm-ui.com) code block.

OpenTelemetry GenAI utility for standardized telemetry collection across LLM, Agent, Embedding, Tool, Retrieval, Rerank, Memory and more

Hardware accelerated language model chats on browsers

Much like tests in traditional software, evals are an important part of bringing LLM applications to production. The goal of this package is to help provide a starting point for you to write evals for your LLM applications, from which you can write more c

A library for working with LLMs in Grafana plugins

Superfast runtime validators with only one line

[](https://dl.circleci.com/status-badge/redirect/gh/taneliang/coerce-llm-output/tree/main) [![codecov](https://codecov.io/github/taneliang/coerce-l

The best library to work with LLMs

Universal library for evaluating AI models

A universal LLM client - provides adapters for various LLM providers to adhere to a universal interface - the openai sdk - allows you to use providers like anthropic using the same openai interface and transforms the responses in the same way - this allow

Traceloop Software Development Kit (SDK) for Node.js

[llm-ui](https://llm-ui.com) JSON blocks for building custom components.