SuperAPI AI Directory

AI developer platforms

3,662 results · Page 61 of 102

ChatGLM-webui

AI developer platforms

ChatGLM-webui is an open-source project that provides a web interface for the ChatGLM-6B model. It was developed by Akegarasu and uses Gradio Chatbox to build the chat interface, offering a better user experience than the original demo. The project provides a one-click installation script (Python still needs to be installed separately), supports adjusting more parameters, conveniently saving and loading conversation history and presets, and allows customizing the maximum context length. It also supports saving conversations as Markdown files. At startup, command-line arguments can be used to specify the model path, listening address, port, sharing method, computation precision, and whether to use CPU, etc.

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claude-to-chatgpt

AI developer platforms

claude-to-chatgpt is an open-source project for converting Anthropic's Claude model API into the OpenAI Chat API format. The core goal of this project is to let developers call the Claude API in the same way as the OpenAI ChatGPT API. It supports streaming responses and is compatible with both the claude-instant-1 and claude-2 models. The project offers two deployment methods: via Cloudflare Workers or Docker. When using Cloudflare Workers, no server of your own is needed, and it supports 100,000 requests per day; if a higher call volume is needed, Docker deployment can be used. When the input model parameter is gpt-3.5-turbo or gpt-3.5-turbo-0613, it is replaced with claude-instant-1; otherwise claude-2 is used. This conversion layer enables GUI clients that originally only support the OpenAI API (such as Chatbox and ChatGPT-Next-Web) to also connect to the Claude models. The project is open-sourced under the MIT license.

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ClawBench

AI developer platforms

ClawBench is an open-source benchmark released by TIGER-AI-Lab for evaluating the ability of browser AI agents to complete everyday online tasks on real websites, such as booking travel, ordering food, applying for jobs, managing email, and more. V1 contains 152 everyday tasks spanning 143 online websites; V2 contains 129 tasks across 63 online websites; in total, 281 tasks spanning 163 online websites and 15 life categories. The benchmark uses a five-layer recording pipeline and an agentic evaluator to compare each run against a human reference trajectory, measuring end-to-end task success rate, and provides a live leaderboard showing scores by corpus, execution framework, and scoring standard. The project is built on Python 3.11+ and uv, uses Docker or Podman to provide isolated containers, can run on any Chrome, and has released Hugging Face datasets containing task definitions and complete execution trajectories.

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CleeAI

AI developer platforms

CleeAI is a "Knowledge Operating Layer" for enterprise-grade large language model (LLM) deployment, with its core product being LKM™ (Large Knowledge Model™). It sits between applications and various LLMs (such as GPT, Claude, Gemini) to reduce AI costs, enforce verification of output accuracy, and prevent data leakage. This layer controls AI outputs before they enter the production environment by intelligently routing queries, intercepting hallucinated content, and ensuring AI output compliance. The materials list scenarios such as healthcare, financial research, and banking compliance, emphasizing how to address AI failure risks in high-stakes industries by verifying sources, intercepting non-compliant requests, and eliminating rule drift. The official website offers an enterprise early access program and displays some pricing (such as $199/month, $399/month), but the specific feature boundaries and complete pricing are subject to the latest official information.

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