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@mayurajs/provider-azure

v1.2.0

Published

Azure OpenAI models for Mayura, through the official OpenAI SDK and Azure's v1 API.

Readme

@mayurajs/provider-azure

Azure OpenAI models for Mayura, through the official OpenAI SDK and Azure's v1 API, with an API key or a Microsoft Entra ID token.

npm install mayura @mayurajs/provider-azure
import { createModels, defineAgent, z } from 'mayura';
import { azure } from '@mayurajs/provider-azure';

const models = createModels({
  providers: [azure({
    resource: 'contoso', apiKey: process.env.AZURE_OPENAI_API_KEY!,
    deployments: { 'prod-chat': { model: 'gpt-5.5', type: 'global' } },
  })],
  prices: 'catalog',
  maxCallCostMicros: 50_000,
});

const agent = defineAgent({
  id: 'helper', version: '1', instructions: 'Answer in one sentence.', model: models.model('azure/prod-chat'), tools: [],
  input: z.object({ question: z.string() }), output: z.object({ answer: z.string() }),
});
// Grant it as model:azure/prod-chat.
  • Models are called by deployment name. Catalog prices apply only to the Global deployments listed in deployments; give your own prices for Data Zone and Regional deployments, which cost more.
  • token takes a Microsoft Entra ID token source, called for every request, instead of apiKey.
  • Built on responsesProvider from @mayurajs/provider-openai: nothing is read from the environment, the SDK's retries are off, responses are bounded, and schemas are strict.
  • Runs can take a conversation history (runtime.submit(agent, { input, history })), sent before the run's own messages on every call.

See the model registry guide. Apache-2.0.

RAG embeddings

This provider exports azureEmbeddings for scoped RAG ingestion and retrieval. See the RAG guide for explicit permissions, cost ceilings and sensitivity profiles. Development cases are authored; validation is deferred.