Description for Prompteus
Prompteus is a no-code platform that enables the development, deployment, and scalability of AI workflows. It includes built-in compliance guardrails, adaptive caching, and multi-LLM orchestration. It assists developers in the management of AI performance, the reduction of costs, and the assurance of reliability across various model providers without the need for code rewrites.
Features of Prompteus:
- AI workflow builder with drag-and-drop functionality: Utilize a straightforward, no-code interface to establish AI request routing, transformations, and conditions.
- Multi-LLM orchestration and compatibility: Connect to OpenAI, Anthropic, Google, and other models without modifying the code.
- Adaptive semantic caching: Prevent redundant LLM calls to save execution time and reduce request costs.
- Inbuilt security and guardrails: Prior to model interactions, enforce input/output safeguards and eliminate sensitive data.
- Real-time monitoring and expense analysis: Access detailed logs and microdollar-level cost metrics for each request.
Use Cases for Prompteus
- Create AI workflows without coding: Utilize a visual interface to efficiently design intricate AI workflows.
- Dynamically transition between LLM providers: Route requests to the AI model that is most appropriate in real time.
- Improve AI reliability and uptime: Implement failover mechanisms and region redundancy to ensure uninterrupted service.
- Control API costs and reduce latency: Utilize semantic caching and request routing to optimize resource utilization.
- Ensure the safety and compliance of AI use: Securely filter inputs and outputs by adhering to predetermined guidelines.
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