Tool Calling
Showing 14 of 14 projects
A TypeScript toolkit for building AI-powered applications and agents with React, Next.js, and Node.js support.
An open-source Java library that simplifies integrating LLMs into Java applications through a unified API and comprehensive toolbox.
Open-source framework for building full-stack AI-powered applications with unified APIs for multiple languages and model providers.
A renderer and parser for the harmony response format used with OpenAI's gpt-oss open-weight models.
A Neovim plugin that brings GitHub Copilot Chat capabilities directly into the editor with transparency and user control.
A library for running LLMs locally and efficiently on any device with support for Python, Flutter, and Godot.
A native terminal workspace combining local shells, SSH, SFTP, remote IDE, AI agent, and file manager in a single binary.
A production-grade multi-agent framework in Rust for building, deploying, and coordinating intelligent agents with LLMs.
A framework for building AI agents that run in the browser, with support for Angular and React.
Adds structured AI outputs, vectorization, and tool calling to Ash Framework applications using ReqLLM.
A Go SDK for AI applications providing a unified API across 22+ providers with streaming, structured output, and MCP support.
A type-safe AI SDK for Dart and Flutter that provides a unified interface for text generation, structured output, tool calling, and agentic workflows.
A CLI wrapper that serves Google Gemini models through an OpenAI-compatible API for easy integration with existing tools.
A comprehensive Go library for building AI agents and applications with unified multi-provider LLM support, tool calling, streaming, and cost tracking.
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