A tool for generating function arguments and choosing what function to call with local LLMs

Make function calling with LLM easier

Started out as Dynamic Function Calling for OAI. Upon reviewing a research paper released (LATM) This is/has become a implementation of such system using: OpenAI and Autogen

A simple example that demonstrates how to use the function call feature of the OpenAI API

Generate ChatGPT function call schemas based on function docstrings.

Folder-based functions for ChatGPT's function calling with Pydantic support 🚀

Predict the exact openai token usage of functions

Welcome to the repository showcasing examples utilizing OpenAI tools, such as GPT, assistant API (retrieval, function calling to external API). I strongly recommend running through the provided sample code and viewing the referenced instructional videos for a comprehensive understanding.

arXiv-Chat: An AI research assistant and Discord bot

Data Engineering Agent Using Open AI Function Call

This is a Python ChatBot application that leverages the OpenAI GPT-3.5 Turbo model for conversation. It allows users to interact with the ChatBot, which can perform various functions based on user queries also recent events on internet.

This project implements an AI chatbot that schedules appointments using Google Calendar and provides schedule availability fetched from Google Docs. The chatbot uses OpenAI's GPT model for natural language processing.

Creating a custom GPT to send Emails using the MailJet API

This project demonstrates advanced function calling capabilities using AI agents. It integrates DB searches, API calls, Report Generating, Data Analyzing and other external tools to process user requests dynamically. Designed for testing and optimizing tool consumption by AI agents.

An interactive tool that engages users with YouTube videos through a GPT-powered chatbot, utilizing TTS and STT for voice interaction. It features generating mock tests, correcting user answers, and creating PowerPoint presentations.