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Azure OpenAI

Atualizado em Ver como Markdown

Azure OpenAI ↗ allows you apply natural language algorithms on your data.

Endpoint

https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/azure-openai/{resource_name}/{deployment_name}

Prerequisites

When making requests to Azure OpenAI, you will need:

  • AI Gateway account ID
  • AI Gateway gateway name
  • Azure OpenAI API key
  • Azure OpenAI resource name
  • Azure OpenAI deployment name (aka model name)

URL structure

Your new base URL will use the data above in this structure: https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/azure-openai/{resource_name}/{deployment_name}. Then, you can append your endpoint and api-version at the end of the base URL, like .../chat/completions?api-version=2023-05-15.

Examples

cURL

Example fetch requestbash
curl 'https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway}/azure-openai/{resource_name}/{deployment_name}/chat/completions?api-version=2023-05-15' \
  --header 'Content-Type: application/json' \
  --header 'api-key: {azure_api_key}' \
  --data '{
  "messages": [
    {
      "role": "user",
      "content": "What is Cloudflare?"
    }
  ]
}'

Use openai JavaScript SDK

JavaScriptjs
import { AzureOpenAI } from "openai";

const azure_openai = new AzureOpenAI({
  apiKey: "{azure_api_key}",
  baseURL: `https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway}/azure-openai/{resource_name}/`,
  apiVersion: "2023-05-15",
  defaultHeaders: { "cf-aig-authorization": "{cf-api-token}" }, // if authenticated
});

const result = await azure_openai.chat.completions.create({
  model: '{deployment_name}',
  messages: [{ role: "user", content: "Hello" }],
});