What is an LLM gateway?
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An LLM gateway is a unified API layer that routes requests across multiple large language model providers. It handles authentication, rate limiting, fallbacks, cost optimization, and audit logging — so your application can switch between OpenAI, Anthropic, Google, and others without rewriting code. Opper's LLM gateway is OpenAI SDK-compatible and routes across 300+ models, with EU-hosted regions on AWS Bedrock, Azure, GCP, and Berget AI.
Is an LLM gateway the same as an AI gateway?
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Closely related but not identical. LLM gateways focus on text models (chat, completions, embeddings). AI gateways extend the same architecture to multimodal workloads — image generation, voice, video, and other AI APIs. Most production AI gateways today are primarily LLM gateways with multimodal support added. Opper covers both: text, image, voice, and video models through one OpenAI-compatible API.
How does Opper's gateway handle model fallbacks?
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Configure backup models that activate instantly if your primary fails. Built-in retry logic detects timeouts, rate limits, and provider outages, then routes the request to your configured fallback within roughly 180ms. Zero downtime, no code changes, no extra infrastructure to run.
Is Opper's LLM gateway EU-hosted and GDPR-compliant?
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Yes. Opper's control plane runs in the EU by default, and the LLM gateway can pin every request to EU regions on AWS Bedrock, Azure, GCP, or providers like Berget AI. Audit logs and traces stay in EU storage. GDPR-ready, with a DPA and sub-processor list published.
How is Opper's LLM gateway different from OpenRouter, Vercel AI Gateway, or Cloudflare AI Gateway?
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OpenRouter and Vercel/Cloudflare AI Gateways are inference routers — they switch models. Opper does that, plus adds the layers production deployments need: built-in observability with LLM-as-a-judge scoring, a structured-output JSON API, guardrails, EU residency by default, and pay-as-you-go pricing with no subscription. Think of it as a router with an AI agent control plane built in.