Integration complexity is often a significant barrier to the adoption of new technologies, and Vercel AI Gateway has been designed with a strong focus on compatibility with the existing development ecosystem, ensuring that developers are able to follow familiar toolchains and workflows.
Its integration features are mainly reflected in three aspects: first, native compatibility with mainstream SDKs, including Vercel AI SDK, OpenAI official SDK, etc., and only need to modify the base URL to complete the docking; second, support for multi-language environments, from Python to JavaScript can be smoothly integrated; and third, it retains almost the same interface as the direct use of vendor APIs specification, minimizing the learning curve. Taking the OpenAI SDK as an example, migrating to AI Gateway only requires setting two parameters: pointing the base_url to the gateway address (https://ai-gateway.vercel.sh/v1) and using the API key provided by Vercel. This low-barrier adoption strategy allows developers to reap the administrative benefits of the Gateway without having to refactor existing code.
This answer comes from the articleVercel AI Gateway: a gateway to manage and optimize AI application requestsThe
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