Modelfuse is a software and API platform that connects data sources, combines text, image, and audio language models, and configures workflows through a no-code interface. You can easily add pricing based on usage volume for new AI features. Modelfuse can be used with all popular AI models and APIs to accelerate the development and deployment of AI features. You can quickly test and configure the operation of generative AI features, build workflows between different文本、图像和音频语言模型， such as GPT-3.5, GPT-4, Stable Audio, Claude, Stable Diffusion XL, PaLM, or LLaMA. Through our platform, you can connect existing tools, set up data sources, and build AI features on them. The drag-and-drop workflow builder can increase the development speed of AI features by up to 10 times. You can provide AI according to your own pricing strategy and grow with your customers. Using our API, you can quickly deploy AI features and save up to 90% of development costs. Modelfuse also provides a no-code AI workflow builder for automating tasks and generating results without coding. With an intuitive drag-and-drop user interface, you can build, design, prototype, and deploy customized generative AI workflows, providing the next AI feature for your product. You can connect your own data sources, write prompts, and combine outputs from different LLM providers (such as OpenAI, Cohere, or Anthropic). Iterate at any time to improve workflows without further deployment. Modelfuse also offers usage metering and billing features for AI. Our platform allows for easy setup of custom pricing structures to enable the commercialization of AI. Through seamless integration, our AI custom billing system can easily set up complex pricing, and define your internal credit system to charge for the use of AI features. Track and meter usage, collect and aggregate real-time usage data, easily enforce feature limitations and charge customers. Modelfuse also provides security and observability features for LLMs. With our comprehensive dashboard, you can always get an overview of LLM usage. Track API requests, total costs, and token usage. Set up alerts for rate limits, usage limits, allowed models, etc. Connect to external model providers such as OpenAI, Cohere, Anthropic, or Google without distributing API keys. Through fine-grained control and visibility, gain comprehensive control and visibility over AI operations.