AI 工具開放平台，讓 AI 幫你賺起來

A generative AI evaluation and observability platform, empowering modern AI teams to ship products with quality, reliability, and speed.

Load and run large LLMs locally to use in your terminal or build your apps.

Free tool that tracks API uptime and latencies for various OpenAI models and other LLM providers.

Evaluate, test, and ship LLM applications with a suite of observability tools to calibrate language model outputs across your dev and production lifecycle.

Your Operations Co-pilot on Slack/Teams. It assists and prompts oncall with relevant information to debug issues.

Open-source tool for ML observability that runs in your notebook environment, by Arize. Monitor and fine-tune LLM, CV, and tabular models.

Open source framework for building agents that pre-express their planned actions, share their progress and can be interrupted by a human. #opensource

Full-stack LLMOps platform to monitor, manage, and improve LLM-based apps.

Seamlessly integrate private, controlled, and compliant Large Language Models (LLM) functionality.

AI GTM Automation Agent

AI-powered backend platform with Vector DB, DocumentDB, Auth, and more to speed up app development.

SmartProxy is a global proxy network offering 100M+ residential IPs with advanced geo-targeting and session control. It provides developer tools and a management dashboard for web scraping, ad verification, and other data-intensive tasks.

AI Platform Engineer

An open-source framework for building production-grade LLM applications. It unifies an LLM gateway, observability, optimization, evaluations, and experimentation.

Trylli AI creates configurable AI voice agents via chat-based setup, supporting English/Hindi memory, call routing, IVR, Twilio/Exotel integrations, APIs and developer tools, session management, call logs and analytics for contact centers, sales, support and reminders.

A web-hosted IDE where non-technical domain experts work with AI Engineers to build task-specific AI agents. It approaches prompting as a new programming language rather than low/no-code blocks.