ogx_open_client

What it is and what it does

This is an OpenAPI-generated client library for interacting with the OGX API, a service designed around Llama models. It provides Python bindings to a large set of endpoints covering chat completions, embeddings, batch processing, file uploads, vector stores, conversations, and administrative operations. The package is automatically generated from an OpenAPI specification and includes both stable production-ready APIs and experimental pre-release APIs.

You use it by instantiating an API client with a host configuration, then calling methods on API classes like AdminApi, ChatCompletionsApi, EmbeddingsApi, and BatchesApi. It depends on httpx and requests for HTTP transport, pydantic for data validation, python-dateutil for timestamp handling, and fire for CLI support. The package requires Python 3.12+ and is currently at version 1.1.0.dev0, indicating active development.

Use it for:

• Build a Python application that calls Llama model inference through the OGX API without writing raw HTTP requests
• Manage batch processing jobs for multiple API requests through the Batches API endpoints
• Implement chat-based applications using the ChatCompletionsApi for conversation management
• Upload and process files for vector store operations using the Files and FileBatches APIs
• Query provider and connector information through the AdminApi for service introspection

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Provides an OpenAPI-generated Python client for the OGX API, offering interfaces to Llama model endpoints including chat completions, embeddings, batches, and file operations.

Yes, with conditions. The package is actively maintained, has low install friction, and carries a permissive MIT license. However, it requires Python 3.12+, is in beta status (1.1.0.dev0), and mixes stable and experimental APIs—verify that the specific endpoints you need are production-ready before deploying to production. No known security vulnerabilities.

Install

ogx-open-client on PyPI

pip install ogx-open-client

uv add ogx-open-client

poetry add ogx-open-client

Installing ogx_open_client

Before you install

Low install friction with six runtime dependencies. Active maintenance with recent commits and a substantial repository presence (8420 stars). Package is in beta status and requires Python 3.12+.

License in practice

MIT license permits commercial and private use with minimal restrictions, making it suitable for most projects.

Quickstart

pip install ogx-open-client

import ogx_open_client
from ogx_open_client.rest import ApiException

configuration = ogx_open_client.Configuration(host="http://any-hosted-ogx.com")
with ogx_open_client.ApiClient(configuration) as api_client:
    api_instance = ogx_open_client.ChatCompletionsApi(api_client)
    api_response = api_instance.create(...)  # Pass request body

Requires Python 3.12+. You must have a running OGX service endpoint or know its host URL to configure the client.

Verify before relying

• Whether experimental APIs are production-safe or genuinely pre-release only
• Stability guarantees between dev releases and when a stable 1.0 is planned
• Whether the OGX service endpoint requires authentication or API keys

Package facts

Evidence: ogx_open_client-1.1.0.dev0-py3-none-any.whl

Keywords: ogx, ai, ml, openai, llm, inference, agents, api

Tags

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