LLM tooling CLI - embed server lifecycle and utility subcommands
Shared LLM transport layer with service-based routing
Structured session insight extraction for knowledge systems
Queue notifications for Claude awareness from external systems
Enforce real-time token budgets and spending limits for OpenAI, Anthropic Claude, and Google Gemini API calls in Node.js
Display language model outputs in your React project.
Typescript bindings for langchain
[llm-ui](https://llm-ui.com) markdown block.
LLM eval & testing toolkit
Hardware accelerated language model chats on browsers
[llm-ui](https://llm-ui.com) code block.
micromark extension to support math (`$C_L$`, `\(C_L\)`)
[llm-ui](https://llm-ui.com) JSON blocks for building custom components.
General-purpose agent with transport abstraction, state management, and attachment support
Detox driver for Wix Pilot usage
A library for working with LLMs in Grafana plugins
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
JavaScript obfuscator
Package to connect and trace LLM calls.
The best library to work with LLMs
<p align="center"> <img height="100" width="100" alt="LlamaIndex logo" src="https://ts.llamaindex.ai/square.svg" /> </p> <h1 align="center">LlamaIndex.TS</h1> <h3 align="center"> Data framework for your LLM application. </h3>
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
Opik TypeScript and JavaScript SDK
Superfast runtime validators with only one line