wechat-bot
🤖一个基于 WeChaty 结合 OpenAi ChatGPT / Kimi / 讯飞等Ai服务实现的微信机器人 ,可以用来帮助你自动回复微信消息,或者管理微信群/好友,检测僵尸粉等...
Stars: 5889
WeChat Bot is a simple and easy-to-use WeChat robot based on chatgpt and wechaty. It can help you automatically reply to WeChat messages or manage WeChat groups/friends. The tool requires configuration of AI services such as Xunfei, Kimi, or ChatGPT. Users can customize the tool to automatically reply to group or private chat messages based on predefined conditions. The tool supports running in Docker for easy deployment and provides a convenient way to interact with various AI services for WeChat automation.
README:
一个 基于 chatgpt
+ wechaty
的微信机器人
可以用来帮助你自动回复微信消息,或者管理微信群/好友.
简单
,好用
,2分钟(4 个步骤)
就能玩起来了。🌸 如果对您有所帮助,请点个 Star ⭐️ 支持一下。
欢迎大家提交 PR 接入更多的 ai 服务(比如扣子等...),积极贡献更好的功能实现,让 wechat-bot 变得更强!
-
ChatGPT
先获取自己的
api key
,地址戳这里 👉🏻 :创建你的 api key注意:这个是需要去付费购买的,很多人过来问为什么请求不通,请确保终端走了代理,并且付费购买了它的服务
# 执行下面命令,拷贝一份 .env.example 文件为 .env cp .env.example .env # 填写完善 .env 文件中的内容 OPENAI_API_KEY='你的key'
-
通义千问
通义千问是阿里云提供的 AI 服务,获取到你的 api key 之后, 填写到 .env 文件中即可
# 执行下面命令,拷贝一份 .env.example 文件为 .env cp .env.example .env # 填写完善 .env 文件中的内容 # 通义千问, URL 包含 uri 路径 TONGYI_URL = "https://dashscope.aliyuncs.com/compatible-mode/v1" # 通义千问的 API_KEY TONGYI_API_KEY = '' # 通义千问使用的模型 TONGYI_MODEL='qwen-plus'
-
deepseek 获取自己的
api key
,地址戳这里 👉🏻 :deepseek 开放平台
将获取到的api key
填入.evn
文件中的DEEPSEEK_FREE_TOKEN
中。 -
科大讯飞
新增科大讯飞,去这里申请一个 key:科大讯飞,每个模型都有 200 万的免费 token ,感觉很难用完。
注意: 讯飞的配置文件几个 key,别填反了,很多人找到我说为什么不回复,都是填反了。
而且还有一个好处就是,接口不会像 Kimi 一样限制请求频次,相对来说稳定很多。
服务出错可参考: issues/170, issues/180 -
Kimi (请求限制较严重)
可以去 : kimi apikey 获取你的 key
最近比较忙,大家感兴趣可以提交 PR,我会尽快合并。目前 Kimi 刚刚集成,还可以实现上传文件等功能,然后有其它较好的服务也可以提交 PR 。 -
dify
地址:dify, 创建你的应用之后, 获取到你的 api key 之后, 填写到 .env 文件中即可, 也支持私有化部署dify版本
# 执行下面命令,拷贝一份 .env.example 文件为 .env cp .env.example .env # 填写完善 .env 文件中的内容 DIFY_API_KEY='你的key' # 如果需要私有化部署,请修改.env中下面的配置 # DIFY_URL='https://[你的私有化部署地址]'
-
ollama
Ollama 是一个本地化的 AI 服务,它的 API 与 OpenAI 非常接近。配置 Ollama 的过程与各种在线服务略有不同
# 执行下面命令,拷贝一份 .env.example 文件为 .env cp .env.example .env # 填写完善 .env 文件中的内容 OLLAMA_URL='http://127.0.0.1:11434/api/chat' OLLAMA_MODEL='qwen2.5:7b' OLLAMA_SYSTEM_MESSAGE='You are a personal assistant.'
-
302.AI
AI聚合平台,有套壳GPT的API,也有其他模型,点这里可以添加API,添加之后把API KEY配置到.env里,如下,MODEL可以自行选择配置
_302AI_API_KEY = 'xxxx' _302AI_MODEL= 'gpt-4o-mini'
由于openai充值需要国外信用卡,流程比较繁琐,大多需要搞国外虚拟卡,手续费也都不少,该平台可以直接支付宝,算是比较省事的,注册填问卷可领1刀额度,后续充值也有手续费,用户可自行酌情选择。
-
其他
(待实践)理论上使用 openAI 格式的 api,都可以使用,在 env 文件中修改对应的 api_key、model、proxy_url 即可。
302.AI 是一个汇集全球顶级 AI 的自助平台,按需付费,零月费,零门槛使用各种类型 AI。 产品链接 | 提供claude gemini 等模型 价格低至0.55一刀 (vx: spkf789) |
目前该项目流量较大,已经上过 27 次 Github Trending 榜,如果您的公司或者产品需要推广,可以在下方二维码处联系我,我会在项目中加入您的广告,帮助您的产品获得更多的曝光。
检查好自己的开发环境,确保已经安装了 nodejs
, 版本需要满足 Node.js >= v18.0 ,版本太低会导致运行报错,最好使用 LTS 版本。
- 安装依赖
安装依赖时,大陆的朋友推荐切到 taobao 镜像源后再安装,命令:
npm config set registry https://registry.npmmirror.com
想要灵活切换,推荐使用我的工具 👉🏻 prm-cli 快速切换。
# 安装依赖
npm i
# 推荐用 yarn 吧,npm 安装有时会遇到 wechaty 内部依赖安装失败的问题
yarn
- 运行服务
# 启动服务
npm run dev # 或者 npm run start
# 启动服务
yarn dev # 或者 yarn start
然后就可以扫码登录了,然后根据你的需求,自己修改相关逻辑文件。
为了兼容 docker 部署,避免不必要的选择交互,新增指定服务运行
# 运行指定服务 ( 目前支持 ChatGPT | Kimi | Xunfei )
npm run start -- --serve Kimi
# 交互选择服务,仍然保持原有的逻辑
npm run start
- 测试
安装完依赖后,运行 npm run dev
前,可以先测试下 openai 的接口是否可用,运行 npm run test
即可。
遇到 timeout 问题需要自行解决。(一般就是代理未成功,或者你的梯子限制了调 openai api 的服务)
很多人说运行后不会自动收发信息,不是的哈,为了防止给每一条收到的消息都自动回复(太恐怖了),所以加了限制条件。
你要把下面提到的地方自定义修改下。
- 群聊,记得把机器人名称改成你自己微信号的名称,然后添加对应群聊的名称到白名单中,这样就可以自动回复群聊消息了。
- 私聊,记得把需要自动回复的好友名称添加到白名单中,这样就可以自动回复私聊消息了。
- 更深入的可以通过修改
src/wechaty/sendMessage.js
文件来满足你自己的业务场景。(大多人反馈可能无法自动回复,也可以通过调试这个文件来排查具体原因)
在.env 文件中修改你的配置即可,示例如下
# 白名单配置
#定义机器人的名称,这里是为了防止群聊消息太多,所以只有艾特机器人才会回复,
#这里不要把@去掉,在@后面加上你启动机器人账号的微信名称
BOT_NAME=@可乐
#联系人白名单
ALIAS_WHITELIST=微信名1,备注名2
#群聊白名单
ROOM_WHITELIST=XX群1,群2
#自动回复前缀匹配,文本消息匹配到指定前缀时,才会触发自动回复,不配或配空串情况下该配置不生效(适用于用大号,不期望每次被@或者私聊时都触发自动回复的人群)
#匹配规则:群聊消息去掉${BOT_NAME}并trim后进行前缀匹配,私聊消息trim后直接进行前缀匹配
AUTO_REPLY_PREFIX=''
可以看到,自动回复都是基于 chatgpt
的,记得要开代理,或者填写代理地址。
可以进交流群,一起交流探讨相关问题和解决方案,添加的时候记得备注来意。(如果项目对你有所帮助,也可以请我喝杯咖啡 ☕️ ~)
首先你需要做到以下几点:
-
拉取最新代码,重新安装依赖(删除 lock 文件,删除 node_modules)
-
安装依赖时最好不要设置 npm 镜像
-
遇到 puppeteer 安装失败设置环境变量:
# Mac export PUPPETEER_SKIP_DOWNLOAD='true' # Windows SET PUPPETEER_SKIP_DOWNLOAD='true'
-
确保你们的终端走了代理 (开全局梯子,或者手动设置终端走代理)
# 设置代理 export https_proxy=http://127.0.0.1:你的代理服务端口号;export http_proxy=http://127.0.0.1:你的代理服务端口号;export all_proxy=socks5://127.0.0.1:你的代理服务端口号 # 然后再执行 npm run test npm run test
-
确保你的 openai key 有余额
-
配置好 .env 文件
-
执行 npm run test 能成功拿到 openai 的回复(设置完代理后,仍然请求不通? 可以参考: https://medium.com/@chanter2d/%E5%85%B3%E4%BA%8E%E5%A6%82%E4%BD%95%E4%BD%BF%E7%94%A8clash%E5%AE%9E%E7%8E%B0%E7%9C%9F%E6%AD%A3%E7%9A%84%E5%85%A8%E5%B1%80%E4%BB%A3%E7%90%86-385b2d745871)
-
执行 npm run dev 愉快的玩耍吧~ 🎉
也可以参考这条 issue
- 怎么玩? 完成自定义修改后,群聊时,在白名单中的群,有人 @你 时会触发自动回复,私聊中,联系人白名单中的人发消息给你时会触发自动回复。
- 运行报错?检查 node 版本是否符合,如果不符合,升级 node 版本即可,检查依赖是否安装完整,如果不完整,大陆推荐切换下 npm 镜像源,然后重新安装依赖即可。(可以用我的 prm-cli 工具快速切换)
- 调整对话模式?可以修改openai/index.js ,具体可以根据官方文档给出的示例(非常多,自己对应调整参数即可) :https://beta.openai.com/examples
$ docker build . -t wechat-bot
$ docker run -d --rm --name wechat-bot -v $(pwd)/.env:/app/.env wechat-bot
该项目于 2023/2/13 日成为 Github Trending 榜首。
MIT.
For Tasks:
Click tags to check more tools for each tasksFor Jobs:
Alternative AI tools for wechat-bot
Similar Open Source Tools
wechat-bot
WeChat Bot is a simple and easy-to-use WeChat robot based on chatgpt and wechaty. It can help you automatically reply to WeChat messages or manage WeChat groups/friends. The tool requires configuration of AI services such as Xunfei, Kimi, or ChatGPT. Users can customize the tool to automatically reply to group or private chat messages based on predefined conditions. The tool supports running in Docker for easy deployment and provides a convenient way to interact with various AI services for WeChat automation.
chatgpt-web
ChatGPT Web is a web application that provides access to the ChatGPT API. It offers two non-official methods to interact with ChatGPT: through the ChatGPTAPI (using the `gpt-3.5-turbo-0301` model) or through the ChatGPTUnofficialProxyAPI (using a web access token). The ChatGPTAPI method is more reliable but requires an OpenAI API key, while the ChatGPTUnofficialProxyAPI method is free but less reliable. The application includes features such as user registration and login, synchronization of conversation history, customization of API keys and sensitive words, and management of users and keys. It also provides a user interface for interacting with ChatGPT and supports multiple languages and themes.
chatgpt-web-sea
ChatGPT Web Sea is an open-source project based on ChatGPT-web for secondary development. It supports all models that comply with the OpenAI interface standard, allows for model selection, configuration, and extension, and is compatible with OneAPI. The tool includes a Chinese ChatGPT tuning guide, supports file uploads, and provides model configuration options. Users can interact with the tool through a web interface, configure models, and perform tasks such as model selection, API key management, and chat interface setup. The project also offers Docker deployment options and instructions for manual packaging.
LangChain-SearXNG
LangChain-SearXNG is an open-source AI search engine built on LangChain and SearXNG. It supports faster and more accurate search and question-answering functionalities. Users can deploy SearXNG and set up Python environment to run LangChain-SearXNG. The tool integrates AI models like OpenAI and ZhipuAI for search queries. It offers two search modes: Searxng and ZhipuWebSearch, allowing users to control the search workflow based on input parameters. LangChain-SearXNG v2 version enhances response speed and content quality compared to the previous version, providing a detailed configuration guide and showcasing the effectiveness of different search modes through comparisons.
rag-chatbot
rag-chatbot is a tool that allows users to chat with multiple PDFs using Ollama and LlamaIndex. It provides an easy setup for running on local machines or Kaggle notebooks. Users can leverage models from Huggingface and Ollama, process multiple PDF inputs, and chat in multiple languages. The tool offers a simple UI with Gradio, supporting chat with history and QA modes. Setup instructions are provided for both Kaggle and local environments, including installation steps for Docker, Ollama, Ngrok, and the rag_chatbot package. Users can run the tool locally and access it via a web interface. Future enhancements include adding evaluation, better embedding models, knowledge graph support, improved document processing, MLX model integration, and Corrective RAG.
langchain4j-aideepin-web
The langchain4j-aideepin-web repository is the frontend project of langchain4j-aideepin, an open-source, offline deployable retrieval enhancement generation (RAG) project based on large language models such as ChatGPT and application frameworks such as Langchain4j. It includes features like registration & login, multi-sessions (multi-roles), image generation (text-to-image, image editing, image-to-image), suggestions, quota control, knowledge base (RAG) based on large models, model switching, and search engine switching.
AMchat
AMchat is a large language model that integrates advanced math concepts, exercises, and solutions. The model is based on the InternLM2-Math-7B model and is specifically designed to answer advanced math problems. It provides a comprehensive dataset that combines Math and advanced math exercises and solutions. Users can download the model from ModelScope or OpenXLab, deploy it locally or using Docker, and even retrain it using XTuner for fine-tuning. The tool also supports LMDeploy for quantization, OpenCompass for evaluation, and various other features for model deployment and evaluation. The project contributors have provided detailed documentation and guides for users to utilize the tool effectively.
airdrop-tools
Airdrop-tools is a repository containing tools for all Telegram bots. Users can join the Telegram group for support and access various bot apps like Moonbix, Blum, Major, Memefi, and more. The setup requires Node.js and Python, with instructions on creating data directories and installing extensions. Users can run different tools like Blum, Major, Moonbix, Yescoin, Matchain, Fintopio, Agent301, IAMDOG, Banana, Cats, Wonton, and Xkucoin by following specific commands. The repository also provides contact information and options for supporting the creator.
one-api
One API 是一个开源项目,它通过标准的 OpenAI API 格式访问所有的大模型,开箱即用。它支持多种大模型,包括 OpenAI ChatGPT 系列模型、Anthropic Claude 系列模型、Google PaLM2/Gemini 系列模型、Mistral 系列模型、百度文心一言系列模型、阿里通义千问系列模型、讯飞星火认知大模型、智谱 ChatGLM 系列模型、360 智脑、腾讯混元大模型、Moonshot AI、百川大模型、MINIMAX、Groq、Ollama、零一万物、阶跃星辰。One API 还支持配置镜像以及众多第三方代理服务,支持通过负载均衡的方式访问多个渠道,支持 stream 模式,支持多机部署,支持令牌管理,支持兑换码管理,支持渠道管理,支持用户分组以及渠道分组,支持渠道设置模型列表,支持查看额度明细,支持用户邀请奖励,支持以美元为单位显示额度,支持发布公告,设置充值链接,设置新用户初始额度,支持模型映射,支持失败自动重试,支持绘图接口,支持 Cloudflare AI Gateway,支持丰富的自定义设置,支持通过系统访问令牌调用管理 API,进而**在无需二开的情况下扩展和自定义** One API 的功能,支持 Cloudflare Turnstile 用户校验,支持用户管理,支持多种用户登录注册方式,支持主题切换,配合 Message Pusher 可将报警信息推送到多种 App 上。
EasyNovelAssistant
EasyNovelAssistant is a simple novel generation assistant powered by a lightweight and uncensored Japanese local LLM 'LightChatAssistant-TypeB'. It allows for perpetual generation with 'Generate forever' feature, stacking up lucky gacha draws. It also supports text-to-speech. Users can directly utilize KoboldCpp and Style-Bert-VITS2 internally or use EasySdxlWebUi to generate images while using the tool. The tool is designed for local novel generation with a focus on ease of use and flexibility.
new-api
New API is an open-source project based on One API with additional features and improvements. It offers a new UI interface, supports Midjourney-Proxy(Plus) interface, online recharge functionality, model-based charging, channel weight randomization, data dashboard, token-controlled models, Telegram authorization login, Suno API support, Rerank model integration, and various third-party models. Users can customize models, retry channels, and configure caching settings. The deployment can be done using Docker with SQLite or MySQL databases. The project provides documentation for Midjourney and Suno interfaces, and it is suitable for AI enthusiasts and developers looking to enhance AI capabilities.
aipan-netdisk-search
Aipan-Netdisk-Search is a free and open-source web project for searching netdisk resources. It utilizes third-party APIs with IP access restrictions, suggesting self-deployment. The project can be easily deployed on Vercel and provides instructions for manual deployment. Users can clone the project, install dependencies, run it in the browser, and access it at localhost:3001. The project also includes documentation for deploying on personal servers using NUXT.JS. Additionally, there are options for donations and communication via WeChat.
AivisSpeech
AivisSpeech is a Japanese text-to-speech software based on the VOICEVOX editor UI. It incorporates the AivisSpeech Engine for generating emotionally rich voices easily. It supports AIVMX format voice synthesis model files and specific model architectures like Style-Bert-VITS2. Users can download AivisSpeech and AivisSpeech Engine for Windows and macOS PCs, with minimum memory requirements specified. The development follows the latest version of VOICEVOX, focusing on minimal modifications, rebranding only where necessary, and avoiding refactoring. The project does not update documentation, maintain test code, or refactor unused features to prevent conflicts with VOICEVOX.
GitHubSentinel
GitHub Sentinel is an intelligent information retrieval and high-value content mining AI Agent designed for the era of large models (LLMs). It is aimed at users who need frequent and large-scale information retrieval, especially open source enthusiasts, individual developers, and investors. The main features include subscription management, update retrieval, notification system, report generation, multi-model support, scheduled tasks, graphical interface, containerization, continuous integration, and the ability to track and analyze the latest dynamics of GitHub open source projects and expand to other information channels like Hacker News for comprehensive information mining and analysis capabilities.
aicommit2
AICommit2 is a Reactive CLI tool that streamlines interactions with various AI providers such as OpenAI, Anthropic Claude, Gemini, Mistral AI, Cohere, and unofficial providers like Huggingface and Clova X. Users can request multiple AI simultaneously to generate git commit messages without waiting for all AI responses. The tool runs 'git diff' to grab code changes, sends them to configured AI, and returns the AI-generated commit message. Users can set API keys or Cookies for different providers and configure options like locale, generate number of messages, commit type, proxy, timeout, max-length, and more. AICommit2 can be used both locally with Ollama and remotely with supported providers, offering flexibility and efficiency in generating commit messages.
ChatPilot
ChatPilot is a chat agent tool that enables AgentChat conversations, supports Google search, URL conversation (RAG), and code interpreter functionality, replicates Kimi Chat (file, drag and drop; URL, send out), and supports OpenAI/Azure API. It is based on LangChain and implements ReAct and OpenAI Function Call for agent Q&A dialogue. The tool supports various automatic tools such as online search using Google Search API, URL parsing tool, Python code interpreter, and enhanced RAG file Q&A with query rewriting support. It also allows front-end and back-end service separation using Svelte and FastAPI, respectively. Additionally, it supports voice input/output, image generation, user management, permission control, and chat record import/export.
For similar tasks
wechat-bot
WeChat Bot is a simple and easy-to-use WeChat robot based on chatgpt and wechaty. It can help you automatically reply to WeChat messages or manage WeChat groups/friends. The tool requires configuration of AI services such as Xunfei, Kimi, or ChatGPT. Users can customize the tool to automatically reply to group or private chat messages based on predefined conditions. The tool supports running in Docker for easy deployment and provides a convenient way to interact with various AI services for WeChat automation.
douyin-chatgpt-bot
Douyin ChatGPT Bot is an AI-driven system for automatic replies on Douyin, including comment and private message replies. It offers features such as comment filtering, customizable robot responses, and automated account management. The system aims to enhance user engagement and brand image on the Douyin platform, providing a seamless experience for managing interactions with followers and potential customers.
webwhiz
WebWhiz is an open-source tool that allows users to train ChatGPT on website data to build AI chatbots for customer queries. It offers easy integration, data-specific responses, regular data updates, no-code builder, chatbot customization, fine-tuning, and offline messaging. Users can create and train chatbots in a few simple steps by entering their website URL, automatically fetching and preparing training data, training ChatGPT, and embedding the chatbot on their website. WebWhiz can crawl websites monthly, collect text data and metadata, and process text data using tokens. Users can train custom data, but bringing custom open AI keys is not yet supported. The tool has no limitations on context size but may limit the number of pages based on the chosen plan. WebWhiz SDK is available on NPM, CDNs, and GitHub, and users can self-host it using Docker or manual setup involving MongoDB, Redis, Node, Python, and environment variables setup. For any issues, users can contact [email protected].
parlant
Parlant is a structured approach to building and guiding customer-facing AI agents. It allows developers to create and manage robust AI agents, providing specific feedback on agent behavior and helping understand user intentions better. With features like guidelines, glossary, coherence checks, dynamic context, and guided tool use, Parlant offers control over agent responses and behavior. Developer-friendly aspects include instant changes, Git integration, clean architecture, and type safety. It enables confident deployment with scalability, effective debugging, and validation before deployment. Parlant works with major LLM providers and offers client SDKs for Python and TypeScript. The tool facilitates natural customer interactions through asynchronous communication and provides a chat UI for testing new behaviors before deployment.
mjai.app
mjai.app is a platform for mahjong AI competition. It contains an implementation of a mahjong game simulator for evaluating submission files. The simulator runs Docker internally, and there is a base class for developing bots that communicate via the mjai protocol. Submission files are deployed in a Docker container, and the Docker image is pushed to Docker Hub. The Mjai protocol used is customized based on Mortal's Mjai Engine implementation.
Bavarder
Bavarder is an AI-powered chit-chat tool designed for informal conversations about unimportant matters. Users can engage in light-hearted discussions with the AI, simulating casual chit-chat scenarios. The tool provides a platform for users to interact with AI in a fun and entertaining way, offering a unique experience of engaging with artificial intelligence in a conversational manner.
ChaKt-KMP
ChaKt is a multiplatform app built using Kotlin and Compose Multiplatform to demonstrate the use of Generative AI SDK for Kotlin Multiplatform to generate content using Google's Generative AI models. It features a simple chat based user interface and experience to interact with AI. The app supports mobile, desktop, and web platforms, and is built with Kotlin Multiplatform, Kotlin Coroutines, Compose Multiplatform, Generative AI SDK, Calf - File picker, and BuildKonfig. Users can contribute to the project by following the guidelines in CONTRIBUTING.md. The app is licensed under the MIT License.
Neurite
Neurite is an innovative project that combines chaos theory and graph theory to create a digital interface that explores hidden patterns and connections for creative thinking. It offers a unique workspace blending fractals with mind mapping techniques, allowing users to navigate the Mandelbrot set in real-time. Nodes in Neurite represent various content types like text, images, videos, code, and AI agents, enabling users to create personalized microcosms of thoughts and inspirations. The tool supports synchronized knowledge management through bi-directional synchronization between mind-mapping and text-based hyperlinking. Neurite also features FractalGPT for modular conversation with AI, local AI capabilities for multi-agent chat networks, and a Neural API for executing code and sequencing animations. The project is actively developed with plans for deeper fractal zoom, advanced control over node placement, and experimental features.
For similar jobs
sweep
Sweep is an AI junior developer that turns bugs and feature requests into code changes. It automatically handles developer experience improvements like adding type hints and improving test coverage.
teams-ai
The Teams AI Library is a software development kit (SDK) that helps developers create bots that can interact with Teams and Microsoft 365 applications. It is built on top of the Bot Framework SDK and simplifies the process of developing bots that interact with Teams' artificial intelligence capabilities. The SDK is available for JavaScript/TypeScript, .NET, and Python.
ai-guide
This guide is dedicated to Large Language Models (LLMs) that you can run on your home computer. It assumes your PC is a lower-end, non-gaming setup.
classifai
Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence. Tap into leading cloud-based services like OpenAI, Microsoft Azure AI, Google Gemini and IBM Watson to augment your WordPress-powered websites. Publish content faster while improving SEO performance and increasing audience engagement. ClassifAI integrates Artificial Intelligence and Machine Learning technologies to lighten your workload and eliminate tedious tasks, giving you more time to create original content that matters.
chatbot-ui
Chatbot UI is an open-source AI chat app that allows users to create and deploy their own AI chatbots. It is easy to use and can be customized to fit any need. Chatbot UI is perfect for businesses, developers, and anyone who wants to create a chatbot.
BricksLLM
BricksLLM is a cloud native AI gateway written in Go. Currently, it provides native support for OpenAI, Anthropic, Azure OpenAI and vLLM. BricksLLM aims to provide enterprise level infrastructure that can power any LLM production use cases. Here are some use cases for BricksLLM: * Set LLM usage limits for users on different pricing tiers * Track LLM usage on a per user and per organization basis * Block or redact requests containing PIIs * Improve LLM reliability with failovers, retries and caching * Distribute API keys with rate limits and cost limits for internal development/production use cases * Distribute API keys with rate limits and cost limits for students
uAgents
uAgents is a Python library developed by Fetch.ai that allows for the creation of autonomous AI agents. These agents can perform various tasks on a schedule or take action on various events. uAgents are easy to create and manage, and they are connected to a fast-growing network of other uAgents. They are also secure, with cryptographically secured messages and wallets.
griptape
Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step. Griptape's core components include Structures (Agents, Pipelines, and Workflows), Tasks, Tools, Memory (Conversation Memory, Task Memory, and Meta Memory), Drivers (Prompt and Embedding Drivers, Vector Store Drivers, Image Generation Drivers, Image Query Drivers, SQL Drivers, Web Scraper Drivers, and Conversation Memory Drivers), Engines (Query Engines, Extraction Engines, Summary Engines, Image Generation Engines, and Image Query Engines), and additional components (Rulesets, Loaders, Artifacts, Chunkers, and Tokenizers). Griptape enables developers to create AI-powered applications with ease and efficiency.