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LLM Gateway is a centralized platform designed to streamline interaction with large language models (LLMs) from multiple providers through a single API interface. It enables developers and organizations to route, manage, and analyze LLM requests efficiently across various AI model providers, simplifying integration and operational workflows.
The app offers a unified API endpoint that allows seamless access to a wide range of LLMs, supporting flexible model selection and prompt customization. It provides features such as real-time usage tracking—including total requests, tokens consumed, and cost estimates—through a clear overview dashboard. This facilitates informed decision-making about resource allocation and supports cost management.
LLM Gateway also incorporates enterprise-grade controls and governance capabilities, including access controls to define user permissions, content moderation policies to enforce guardrails against unsafe outputs, and audit logging to maintain a detailed, queryable history of all LLM requests and responses. These features help ensure secure, compliant, and scalable LLM utilization within organizations.
Additionally, the platform supports multi-provider abstraction, enabling users to switch between models from providers like OpenAI, Anthropic, Azure, and others without changing their integration code. It offers enhanced observability by monitoring latency, error rates, and token consumption per model, which aids in performance optimization and anomaly detection.
In summary, LLM Gateway functions as a production-grade AI gateway that centralizes and governs LLM usage, making it suitable for businesses looking to efficiently manage multiple AI models with consistent controls and comprehensive analytics. Its capabilities address key operational considerations such as security, scalability, cost tracking, and seamless multi-provider support.
This description was generated by AI (artificial intelligence). AI can make mistakes. Check important info.
Website: llmgateway.io
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