

Portkey is an AI Gateway that gives teams unified access to more than 1,600 large language models through a single API. Instead of writing and maintaining bespoke integrations for every provider, developers point their application at Portkey once and can then route requests across OpenAI, Anthropic, open source models, and hundreds of others — swapping providers becomes a configuration change rather than a rewrite. That makes it the connective layer for any team serious about shipping generative AI to production.
The gateway is built around the operational concerns that real applications face. Caching avoids re-running identical calls, which customers describe as a no-brainer that saves thousands of dollars, especially in test suites that would otherwise hit paid endpoints repeatedly. Routing and fallbacks let traffic move to a healthy provider the moment one degrades, and the unified API surface means a team can evaluate a new model against the same prompts without touching application code. For engineers who want clear ROI and easy setup, those mechanics translate directly into lower bills and fewer outages.
Because Portkey is open source and already powers more than 3,000 GenAI teams, the gateway is battle-tested at scale, processing trillions of tokens daily across a wide variety of workloads. It integrates with familiar infrastructure — Microsoft Azure, MongoDB, GitHub, Docker, and Auth0 — so it drops into existing stacks rather than demanding a rebuild. For anyone using AI in their workflows, Portkey's gateway removes the integration tax and lets the team focus on building features instead of managing model connections, which is exactly why so many teams adopt it as their default LLM entry point.
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