
TokenRouter centralizes management of multiple LLMs and exposes them through unified, OpenAI-, Claude-, and Gemini-compatible APIs for individuals and enterprises.
TokenRouter is a unified AI model hub designed to aggregate, normalize, and distribute access to multiple large language models through a single, consistent interface. It enables individuals and enterprises to connect to leading LLM providers and expose them as OpenAI, Claude, and Gemini compatible APIs without changing existing application code. The primary purpose of TokenRouter is to centralize model management, routing, and observability so teams can simplify integration and reduce the operational overhead of working with multiple AI vendors.
The platform provides protocol translation that converts different model providers into standardized, interoperable endpoints, allowing developers to switch or combine models with minimal configuration changes. It supports centralized configuration of API keys, rate limits, and routing rules, so access control and usage policies can be managed from one place. TokenRouter also enables intelligent model routing, including failover, load balancing, and policy-based selection between providers for reliability and cost optimization. Additionally, it offers monitoring and analytics across all connected models, giving teams visibility into latency, error rates, and token usage across providers.
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