A useful AI application rarely needs the same model for every job. A short classification task, a long explanation, and an image request have different requirements. Connecting each provider separately can leave your application managing several credentials, request formats, and usage reports.
An AI gateway puts a common API surface between your application and its supported providers. Gatepx serves an OpenAI-compatible API at https://api.gatepx.ai/v1, with a dashboard for API keys, usage, and account management. The gateway gives you a consistent starting point while model capabilities still need to be checked individually.
What belongs in your application
Your application owns its prompts, business rules, conversation state, and how it uses a response. It also decides which enabled model to request. A gateway does not decide whether a generated answer is correct for your product, and it does not replace your own validation or evaluation.
Start with a small set of representative tasks. Include normal inputs, the largest input you expect to send, and examples where a wrong answer would cause a problem. Use those cases to compare output quality and response behavior before expanding traffic.
What the gateway centralizes
- A Gatepx API key authenticates supported inference requests; your application does not need to send an upstream provider credential to Gatepx.
- A model ID identifies the model you want. Configured channels and account restrictions determine which requests can actually be served.
- Dashboard usage records give you a place to investigate requests and consumption alongside your application logs.
Compatibility is a starting point
Sharing an API format does not make every model interchangeable. Context limits, supported media, tools, structured output, and streaming behavior can differ. Even when two models accept the same request, their answers may require different evaluation.
Use the model-list documentation to discover IDs available to your key. Use current pricing to compare rates, and check your account pricing before estimating a workload. A public reference catalog is not a guarantee that every listed model is enabled for every key.
Start with one complete request
Create a separate key for your application, keep it in a server-side secret store, and run one small request. Check the response and the corresponding usage record. Add streaming or other features only after that path works.
The next step is your first Gatepx API request. Once it is working, the SDK migration guide shows how to adapt an existing client.