LLM Gateway
LLM Gateway is a fully open source, unified API gateway that lets you route, manage, and analyze requests to any large language model provider, OpenAI, Anthropic, Gemini Enterprise Agent Platform, and more, using a single, OpenAI-compatible endpoint. It offers multi-provider support with seamless migration and integration, dynamic model orchestration that routes each request to the optimal engine, and comprehensive usage analytics to track requests, token consumption, response times, and costs in real time. Built-in performance monitoring lets you compare models’ accuracy and cost-effectiveness, while secure key management centralizes API credentials under role-based controls. You can deploy LLM Gateway on your own infrastructure under the MIT license or use the hosted service as a progressive web app, and simple integration means you only need to change your API base URL, your existing code in any language or framework (cURL, Python, TypeScript, Go, etc.)
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TrustedRouter
TrustedRouter is a privacy-first AI gateway that gives developers access to 600+ AI models from 90+ providers through one OpenAI-compatible API. It routes requests through an attested gateway that does not log prompt or output content, keeping the production prompt path separate from the dashboard and billing control plane so even its engineers cannot read requests. Developers can keep the OpenAI SDK and migrate by changing a single base URL, while choosing direct model IDs or routing aliases for healthy-provider rollover, zero-retention providers, confidential compute, EU-focused routing, and multi-model synthesis. Provider failover, regional routing, and continuous model health measurements help prevent a single upstream outage from becoming a product outage. TrustedRouter runs across GCP, AWS, and Azure and publishes latency, availability, source code, deployment infrastructure, SDKs, and trust evidence for inspection.
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OpenRouter
OpenRouter is an AI model routing platform that gives developers access to hundreds of models through a single unified API. It connects users with models from providers such as OpenAI, Anthropic, Google, Meta, Mistral, DeepSeek, Qwen, xAI, and many others. The platform supports text, image, video, and audio generation while allowing developers to use one API key and a consistent interface across providers. OpenRouter can route requests based on price, performance, and availability, with fallback options that help maintain service when a provider experiences downtime. It also offers configurable data policies so organizations can control which providers receive prompts and how requests are handled. Developers can purchase credits, choose from more than 500 active models across over 80 providers, and integrate OpenRouter using an OpenAI-compatible API.
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ModelLane
ModelLane is an AI inference gateway and routing control plane for developers and organizations using multiple language-model providers. It offers an OpenAI-compatible API for sending requests to hosted, private, or self-hosted models. Teams can define routing policies (“Lanes”) by cost, latency, availability, data retention, and region, with provider failover, retries, credential isolation, and route-level usage and spend visibility. Documented connectors include OpenAI, Anthropic, Google, Mistral, Groq, and DeepSeek, plus local serving tools such as Ollama and vLLM. An MCP interface exposes model-layer operations. Use cases include consolidating provider APIs, choosing routes for different workloads, maintaining continuity when a provider is unavailable, and monitoring inference activity. Deployment options include hosted service, dedicated deployment, and a customer VPC.
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