Function-calling Packages

A TypeScript library for building conversational AI agents with tool-calling capabilities

typescript client for humanlayer.dev

typescript client for humanlayer.dev

MCP server for Grok AI API integration

This library provides a function calling adapter for the Model Context Protocol (MCP).

Feather: A lightweight agent framework for building AI agents with tools that auto-execute

SDK for accessing Financial Datasets API with LLM function calling support

A TypeScript library extending the OpenAI Node.js SDK for building highly customizable agents and simplifying 'function calling'. Easily create and manage tools to extend LLM capabilities.

Run AI models locally on your machine with node.js bindings for llama.cpp. Enforce a JSON schema on the model output on the generation level

A TypeScript client for submitting AgentDefinitions and user prompt to a gpt-multi-atomic-agents REST API, to generate supported mutations.

Previewing the output of an LLM or AI Agent: allow user to preview LLM actions before approving them OR use as a dev tool.

A powerful agent framework for LLMs.

OpenServ Agent SDK - Create AI agents easily

Uma biblioteca NodeJS para criar agentes de IA com Gemini LLM

Promptbook: Run AI apps in plain human language across multiple models and platforms

Promptbook: Run AI apps in plain human language across multiple models and platforms

Promptbook: Run AI apps in plain human language across multiple models and platforms

Promptbook: Run AI apps in plain human language across multiple models and platforms

Promptbook: Run AI apps in plain human language across multiple models and platforms

Promptbook: Run AI apps in plain human language across multiple models and platforms