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llama-index-llms-openai

llama-index llms openai integration

Worth itPyPI Artificial IntelligenceReleased Jul 202639.2M downloads / moMITPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — llama_index_llms_openai-0.7.10-py3-none-any.whl
v0.7.10 · released 2026-07-21 · Python <4.0,>=3.10 · 2 runtime deps: llama-index-core, openai

Yes. The package is actively maintained, has low installation friction, carries no known vulnerabilities, and uses a permissive MIT license. Install it if you are building with llama-index-core and want to use OpenAI models; it is the standard integration point for that use case. The only gotcha is the requirement for a valid OpenAI API key and Python 3.10 or later.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires a valid OpenAI API key set via OPENAI_API_KEY environment variable or passed at instance creation; Python 3.10 or later (requires_python: >=3.10,<4.0).
  • Low installation friction with only 2 runtime dependencies.
  • Actively maintained with a release 24 days ago.

License · maintenance · safety

MIT (permissive) — MIT license permits free use, modification, and distribution with minimal restrictions, suitable for both open-source and commercial projects.

last release 2026-07-21 (24 days)

0 known vulnerabilities (OSV.dev, 2026-08-14) · 39,166,216 downloads/mo, #701 on PyPI

Verify before relying

pip install llama-index-llms-openai

import os
os.environ["OPENAI_API_KEY"] = "sk-..."
from llama_index.llms.openai import OpenAI

llm = OpenAI()
resp = llm.complete("Paul Graham is ")
print(resp)
  • Whether the package supports all current OpenAI models or has model-specific limitations.
  • Rate limiting or quota handling behavior when used with high-volume requests.
  • Cost implications and billing integration with OpenAI's API pricing.
Same gist for agents: .md · .json

What it is and what it does

This package provides a bridge between llama-index-core and OpenAI's language models, allowing developers to use OpenAI's models within applications built on llama-index-core. It wraps OpenAI's API behind a standard LLM interface, supporting both synchronous and asynchronous calls, streaming responses, and chat-based interactions.

The integration handles API key management at both the environment and per-instance level, supports model selection, and provides methods for text completion, chat messaging, and streaming variants of both. It depends on llama-index-core for the base LLM abstraction and openai for direct API communication, keeping the dependency footprint minimal.

Use it for

  • Build retrieval-augmented generation pipelines using llama-index-core with OpenAI models as the language backend.
  • Stream chat responses in real-time applications where immediate feedback is needed.
  • Use different OpenAI models or API keys for different LLM instances within the same application.
  • Generate text completions for prompts using OpenAI models integrated into a workflow.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

The package is actively maintained, has low installation friction, carries no known vulnerabilities, and uses a permissive MIT license. Install it if you are building with llama-index-core and want to use OpenAI models; it is the standard integration point for that use case. The only gotcha is the requirement for a valid OpenAI API key and Python 3.10 or later.

Install

llama-index-llms-openai on PyPI

Before you install

Low installation friction with only 2 runtime dependencies. Actively maintained with a release 24 days ago.

Requires a valid OpenAI API key set via OPENAI_API_KEY environment variable or passed at instance creation; Python 3.10 or later (requires_python: >=3.10,<4.0).

License in practice

MIT license permits free use, modification, and distribution with minimal restrictions, suitable for both open-source and commercial projects.

Quickstart

pip install llama-index-llms-openai

import os
os.environ["OPENAI_API_KEY"] = "sk-..."
from llama_index.llms.openai import OpenAI

llm = OpenAI()
resp = llm.complete("Paul Graham is ")
print(resp)

Verify before relying

  • Whether the package supports all current OpenAI models or has model-specific limitations.
  • Rate limiting or quota handling behavior when used with high-volume requests.
  • Cost implications and billing integration with OpenAI's API pricing.

Package facts

LicenseMIT permissive
Python supportSupports the current Python release <4.0,>=3.10
Install frictionLow. Pure-Python wheel
Runtime dependencies
2 packages
llama-index-coreopenai
MaintenanceActively maintained 24 days since the last release
First released
Downloads39,166,216 / month, #701 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14

Evidence: llama_index_llms_openai-0.7.10-py3-none-any.whl

Tags

Capabilities
openai llm integrationopenai api wrappergpt completion streamingopenai chat interfacelanguage model integration
Topics
llm-integrationopenai-apirag

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See also ai21 · llama-index-llms-azure-openai · llama-index-llms-google-genai · llama-index-llms-litellm · llama-index-llms-ollama · open-interpreter · llama-index-llms-bedrock · llama-index-llms-anthropic · llama-index-llms-openai-like · llama-index-llms-bedrock-converse

Further reading