LlamaIndex Integration

LlamaIndex is a data framework for building LLM applications with custom data. It provides tools for data ingestion, indexing, and retrieval-augmented generation (RAG) across multiple data sources.

LlamaIndex supports OpenAI-compatible LLMs through its OpenAI integration.

Prerequisites

An LLM API account with an API key
LlamaIndex installed or accessible

Setup

Get Your LLM API Key

Log in to your LLM API dashboard
Click Create Key to Start
Copy your new API key immediately — it will only be shown once
Store the key securely (e.g., in a password manager or .env file)

LLM API is an OpenAI-compatible gateway that gives you access to dozens of AI models through a single API key and endpoint.

Configure LLM API in LlamaIndex

Install LlamaIndex:

pip install llama-index-llms-openai

Configure in code:

from llama_index.llms.openai import OpenAI
llm = OpenAI(
model="openai/gpt-4o",
api_key="your-llm-api-key-here",
api_base="https://api.llmapi.ai/v1"
)

Test the Integration

Verify that LlamaIndex can successfully communicate with LLM API by sending a test request. All requests will now be routed through LLM API.

LlamaIndex's RAG pipeline works with any LLM API model for context-aware question answering.

Benefits of Using LLM API with LlamaIndex

Multi-Provider Access: Use models from OpenAI, Anthropic, Google, and more through a single API
Cost Control: Track and limit your AI spending with detailed usage analytics
Unified Billing: One account for all providers instead of managing multiple API keys
Caching: Reduce costs with response caching for repeated requests

View all available models on the models page.