A python chatbot framework with Natural Language Understanding and Artificial Intelligence.
A versatile workflow automation platform to create, organize, and execute AI workflows, from a single LLM to complex AI-driven workflows.
Demonstrates how to protect your OpenAI API Key using a Cloudflare Worker to serve your ephemeral token and then do client side tool calling
GenAI & agent toolkit for Apple Silicon Mac, implementing JSON schema-steered structured output (3SO) and tool-calling in Python. For more on 3SO: https://huggingface.co/blog/ucheog/llm-power-steering
Building AI agent with hyperpocket tool in a flash
Making LLM Tool-Calling Simpler.
A powerful Flask-based web application that enables an LLM to interact with multiple tools, performing complex tasks through intelligent function calling.
Package intended to simplify the use of MCP server tools within LangChain
Learn how to build effective LLM-based applications with Semantic Kernel in C#
a simple MCP client implementation using LangChain / TypeScript
MCP To LangChain Tools Conversion Utility
Production-ready Agentic AI ChatBot using Llamaindex and Groq-Llama 3.3
The Open eXecution Protocol Specification
MCP Client Implementation Using LangChain / TypeScript
Implementation of "Building Agentic RAG with LlamaIndex" offered by DeepLearning.AI focusing on developing intelligent research agents using the Retrieval-Augmented Generation (RAG) framework.
Python Library for using Arcade tools with the OpenAI Agents SDK
The Financial Analysis Crew is a Streamlit app that simplifies financial stock analysis. With the power of LLM-driven agents, users can seamlessly gather and analyze stock market data to generate comprehensive financial insights. Perfect for investors, analysts, and anyone interested in making data-driven financial decisions.
A JS module to help convert any LangChain Chat Model into a Tool Calling LLM
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