Results for llm-shell

Typescript bindings for langchain

Lightweight, zero-dependency LLM API cost & token usage tracker for OpenAI, Anthropic, Gemini, Mistral, Groq, and DeepSeek

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

Detox driver for Wix Pilot usage

Client library to connect to the LangSmith Observability and Evaluation Platform.

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

General-purpose agent with transport abstraction, state management, and attachment support

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

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

Display language model outputs in your React project.

Traceloop Software Development Kit (SDK) for Node.js

Hardware accelerated language model chats on browsers

Opik TypeScript and JavaScript SDK

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

LLM eval & testing toolkit

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

A library for working with LLMs in Grafana plugins

The best library to work with LLMs

Self-learning LLM runtime — TurboQuant KV-cache (6-8x compression), SONA adaptive learning, FlashAttention, speculative decoding, GGUF inference

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

Test your LLM-powered apps with a TypeScript-native, Vitest-based eval runner. No API key required.

Efficient, configurable text chunking utility for LLM vectorization. Returns rich chunk metadata.

Model Context Protocol implementation for TypeScript

Generate LLM-friendly llms.txt files from markdown and MDX content files