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) markdown block.
Display language model outputs in your React project.
Provides metadata and conversions from repository urls for GitHub, Bitbucket and GitLab
CLI helpers for logging hardware UUIDs and posting startup payloads to Optimus Security.
CLI helpers for logging hardware UUIDs and posting startup payloads to Optimus Security.
Lightweight, zero-dependency LLM API cost & token usage tracker for OpenAI, Anthropic, Gemini, Mistral, Groq, and DeepSeek
Typescript bindings for langchain
Hardware accelerated language model chats on browsers
micromark extension to support math (`$C_L$`, `\(C_L\)`)
Get raw git commits out of your repository using git-log(1).
LLM eval & testing toolkit
Detox driver for Wix Pilot usage
[llm-ui](https://llm-ui.com) code block.
A library for working with LLMs in Grafana plugins
[llm-ui](https://llm-ui.com) JSON blocks for building custom components.
General-purpose agent with transport abstraction, state management, and attachment support
MCP server providing unified access to Claude Code, Codex, Gemini, Grok, and Mistral Vibe CLIs with session management, retry logic, async job orchestration, durable job results, and cross-LLM validation.
The best library to work with LLMs
a util for spawning git from npm CLI contexts
Package to connect and trace LLM calls.
Simple GIT interface for node.js
A high level git url parser for common git providers.
[](https://dl.circleci.com/status-badge/redirect/gh/taneliang/coerce-llm-output/tree/main) [![codecov](https://codecov.io/github/taneliang/coerce-l
This gem simplifies the commit process by automatically generating descriptive commit messages based on the files that have been added to the Git staging area. It leverages LLM to analyze the changes and create meaningful commit messages, helping you maintain a clean and organized commit history.
A simple cli tool to create summaries of git commits using LLMs.
Documentation management for teams and agents: track freshness from frontmatter, detect drift from git history, run LLM-powered analysis, and validate consistency across docs.
ruby-skill-bench orchestrates evaluation runs of AI coding agents inside isolated git sandboxes, then scores the results using deterministic and LLM-powered judges.
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