#大语言模型#A Model Context Protocol server for Excel file manipulation
#大语言模型#Arcade Python SDK, CLI, and toolkits
Bridge package enabling seamless integration between Model Context Protocol (MCP) servers and AI SDK tools. Supports multiple server types, real-time communication, and TypeScript.
#大语言模型#DEPRECATED AI Chat assistant with access to Github, Google (calendar/mail/etc), Slack, Twitter, and more all through Arcade tools
#大语言模型#Powerful primitives that simplify LLM calling - developed by Assistant Engine.
#大语言模型#The Open eXecution Protocol Specification
#大语言模型#tool management service for performing vector tool calling at scale.
Open WebUI Tool Template & Skeleton: A starting point and guide for developing custom tools to extend your AI assistant's capabilities in Open WebUI. Includes examples and best practices.
Arcade Tools for using LLMs to interact with Obsidian Vault contents
Open WebUI Tools for Google Services: Manage contacts, send emails, and schedule Google Meet meetings directly from your AI assistant using Google APIs.
#大语言模型#llm-tool-fusion é uma biblioteca Python que unifica e simplifica o uso de ferramentas com LLMs. Compatível com frameworks como Ollama, LangChain e OpenAI, facilita a integração de funções e módulos, t...
This project demonstrates a LangChain-based chatbot that integrates with a database to perform tasks like checking order statuses, registering new orders, and querying product inventory.It uses functi...
#大语言模型#This is a minimal demo project to show the capabilities of a tool calling using LangChain, it contains all the things you required to build a basic agent-based tool-call system.
Unleash dynamic multi-agent intelligence that fuses smart web searches with real-time financial insights and seamless PDF wizardry. Powered by PhiData’s robust financial data Agents and using Llama3 7...
Convert a function into the OpenAi template
#大语言模型#A Model Context Protocol (MCP) server for searching file content with regex across various file types
Extracting data from pdf, creating chunks of document and embedding , vector search and answer generation