Skip to main content

Open-source, OpenAI-compatible API server with pluggable providers for any model and any infrastructure

Project description

OGX

PyPI Version PyPI Downloads Docker Hub Pulls License Discord Unit Tests Integration Tests OpenResponses Conformance Ask DeepWiki

Quick Start | Documentation | OpenAI API Compatibility | Discord

[!IMPORTANT] Llama Stack is now OGX. The name changed, and so did the mission — model-agnostic, multi-SDK, production-grade. Read the full announcement →

Open-source agentic API server for building AI applications. OpenAI-compatible. Any model, any infrastructure.

OGX Architecture

OGX is a drop-in replacement for the OpenAI API that you can run anywhere — your laptop, your datacenter, or the cloud. Use any OpenAI-compatible client or agentic framework. Swap between Llama, GPT, Gemini, Mistral, or any model without changing your application code.

from openai import OpenAI

client = OpenAI(base_url="http://localhost:8321/v1", api_key="fake")
response = client.chat.completions.create(
    model="llama-3.3-70b",
    messages=[{"role": "user", "content": "Hello"}],
)

What you get

  • Chat Completions & Embeddings — standard /v1/chat/completions, /v1/completions, and /v1/embeddings endpoints, compatible with any OpenAI client
  • Responses API — server-side agentic orchestration with tool calling, MCP server integration, and built-in file search (RAG) in a single API call (learn more)
  • Vector Stores & Files/v1/vector_stores and /v1/files for managed document storage and search
  • Batches/v1/batches for offline batch processing
  • Open Responses conformant — the Responses API implementation passes the Open Responses conformance test suite
  • Multi-SDK support — use the Anthropic SDK (/v1/messages) or Google GenAI SDK (/v1alpha/interactions) natively alongside the OpenAI API

Use any model, use any infrastructure

OGX has a pluggable provider architecture. Develop locally with Ollama, deploy to production with vLLM, or connect to a managed service — the API stays the same.

See the provider documentation for the full list.

Get started

Install and run a OGX server:

# One-line install
curl -LsSf https://github.com/ogx-ai/ogx/raw/main/scripts/install.sh | bash

# Or install via uv
uv pip install ogx[starter]

# Start the server (uses the starter distribution with Ollama)
uv run ogx stack run starter

Then connect with any OpenAI, Anthropic, or Google GenAI client — Python, TypeScript, curl, or any framework that speaks these APIs.

See the Quick Start guide for detailed setup.

Resources

Client SDKs:

Language SDK Package
Python ogx-client-python PyPI version
TypeScript ogx-client-typescript NPM version

Community

We hold regular community calls every Thursday at 09:00 AM PST — see the Community Event on Discord for details.

Star History Chart

Thanks to all our amazing contributors!

OGX contributors

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ogx-1.0.0.tar.gz (16.9 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ogx-1.0.0-py3-none-any.whl (694.9 kB view details)

Uploaded Python 3

File details

Details for the file ogx-1.0.0.tar.gz.

File metadata

  • Download URL: ogx-1.0.0.tar.gz
  • Upload date:
  • Size: 16.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for ogx-1.0.0.tar.gz
Algorithm Hash digest
SHA256 c20b29e6186156ce74ae08d895f3fbae4f97ed4fb1597abed6bce04c8d142875
MD5 5400b3af70b8fbe3468b0559a8cfb179
BLAKE2b-256 172b446a94630e0ef78a4bd339b355b2599550dbed158f8bcb9eaa0ab132ba8a

See more details on using hashes here.

Provenance

The following attestation bundles were made for ogx-1.0.0.tar.gz:

Publisher: pypi.yml on ogx-ai/ogx

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file ogx-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: ogx-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 694.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for ogx-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 652089aa7a0389a053dfa794f712f9642557491b0744c11dec57e73f82276040
MD5 5750c70c585b12e07630ce8806352971
BLAKE2b-256 ebb62b1017670c7184d1b84547002aac6ee9c856c502c079b9c00d6c562426b8

See more details on using hashes here.

Provenance

The following attestation bundles were made for ogx-1.0.0-py3-none-any.whl:

Publisher: pypi.yml on ogx-ai/ogx

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page