tool-calling

#大语言模型#🐬DeepChat - A smart assistant that connects powerful AI to your personal world

#大语言模型#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

#前端开发#2025 年 AI 编程助手实战项目（作者：程序员鱼皮），基于 Spring Boot 3.5 + Java 21 + LangChain4j + AI 构建智能编程学习与求职辅导机器人，覆盖 AI 大模型接入、LangChain4j 核心特性、流式对话、Prompt 工程、RAG 检索增强、向量数据库、Tool Calling 工具调用、MCP 模型上下文协议、Web 爬虫、安全防护、Vue.j...

Awesome Agent Training

#大语言模型#A collection of original system prompts and tool data used for AI chatbots. Explore how companies such as ChatGPT prompt their AIs!

#大语言模型#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

#大语言模型#Examples and tutorials for building AI applications with watsonx.ai Flows Engine

#大语言模型#将 Z.ai 代理为 OpenAI/Anthropic Compatible 格式，支持多模型列表映射、免令牌、智能处理思考链、图片上传等功能；Z.ai ZtoApi ZaitoApi zai X-Signature 签名 GLM 4.5 v 4.6

Building AI agent with hyperpocket tool in a flash

#大语言模型#Observee (YC S25) lets you build AI agents with 1000+ integrations using MCPs with managed OAuth, Security and Observability

Effortlessly secure your AI agents and AI-powered workflows — from prototype to production. Get easy-to-use identity, credential, and access management built for fast-moving AI developers.

#大语言模型#ToolRegistry: A Protocol-Agnostic Tool Management Library for Function-Calling LLMs

A Flask-based application with chat interface with LLM to interact with multiple tools via function calling.

#大语言模型#Making LLM Tool-Calling Simpler.

MCP to LangChain Tools Conversion Utility / Python

MCP to LangChain Tools Conversion Utility / TypeScript

A C library for embedding Apple Intelligence on-device Foundation models in any programming language or application with full support for native tool calling and MCP.