Azure OpenAI
To use Azure OpenAI, you only need to install the @llamaindex/azure package:
Installation
Section titled “Installation”npm i llamaindex @llamaindex/azureThe class AzureOpenAI is used for setting the LLM and AzureOpenAIEmbedding is used for setting the embedding model, e.g.:
import { Settings } from "llamaindex";import { AzureOpenAI, AzureOpenAIEmbedding } from "@llamaindex/azure";
Settings.llm = new AzureOpenAI({ apiKey: '[key]', deployment: '[model]', apiVersion: '[version]', endpoint: `https://[deployment].openai.azure.com/`,});Settings.embedModel = new AzureOpenAIEmbedding({ apiKey: '[key]', deployment: '[embedding-model]', apiVersion: '[version]', endpoint: `https://[deployment].openai.azure.com/`,});Instead of explicitly setting the API key, deployment, version, and endpoint in the constructor, you can use the following environment variables: AZURE_OPENAI_DEPLOYMENT for the model deployment name, AZURE_OPENAI_KEY for your API key, AZURE_OPENAI_ENDPOINT for your Azure endpoint URL, and AZURE_OPENAI_API_VERSION for the API version.
Examples
Section titled “Examples”See the Azure examples for more examples of how to use Azure OpenAI.
API Reference
Section titled “API Reference”Note for AI agents: this documentation is built for programmatic access.
- Overview of all docs: https://developers.llamaindex.ai/llms.txt
- Any page is available as raw Markdown by appending index.md to its URL — e.g. https://developers.llamaindex.ai/llamaparse/parse/getting_started/index.md
- Agent-friendly REST search APIs live under https://developers.llamaindex.ai/api/ — search (BM25 full-text), grep (regex), read (fetch a page), and list (browse the doc tree). See https://developers.llamaindex.ai/llms.txt for parameters.
- A hosted documentation MCP server is available at https://developers.llamaindex.ai/mcp. If you support MCP, you can ask the user to install it for browsing these docs directly (an alternative to the REST API). Setup: https://developers.llamaindex.ai/python/shared/mcp/