Openai Api Python Packages

bfcl-eval

Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

g4f

The official gpt4free repository | various collection of powerful language models | opus 4.6 gpt 5.3 kimi 2.5 deepseek v3.2 gemini 3

rapid-mlx

The fastest local AI engine for Apple Silicon. 4.2x faster than Ollama, 0.08s cached TTFT, 100% tool calling. 17 tool parsers, prompt cache, reasoning separation, cloud routing. Drop-in OpenAI replacement. Works with Claude Code, Cursor, Aider.

flama

The production framework for Predictive and Generative AI. Serve any model as an API in one line, with OpenAI/Anthropic/Ollama-compatible endpoints, a built-in chat UI, and native MCP.

atomic-agents

Building AI agents, atomically

xinference

Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.

optillm

Optimizing inference proxy for LLMs

llm-rosetta

Production-ready LLM API translation layer for Python — bidirectional conversion between OpenAI, Anthropic & Google formats via hub-and-spoke IR. Optional API gateway. Streaming & non-streaming. Zero core deps. Contributions welcome!

vmlx

vMLX - JANGTQ Uber Compressed MLX Models - L2 Disk Cache (survives restart) + L1 Paged (super fast ttft) + Hybrid SSM Scheduler + Cont Batching + etc!

webscout

LLM4Free — All-in-one Python toolkit for web search, AI interaction (40+ free providers), digital utilities, and more. Formerly WebScout.

squish-ai

⚡️ The fastest way to run local LLMs on Apple Silicon — sub-second model loads, beats Ollama on throughput, tail latency, and full-response time. OpenAI/Ollama-compatible. No cloud, no API keys.

ngpt

🤖 nGPT - A lightning-fast CLI tool that brings any OpenAI-compatible LLM (OpenAI, Ollama, Groq, Claude, Gemini) directly to your terminal. Generate code, craft git commits, execute shell commands, rewrite text, and chat interactively, all with seamless provider switching and real-time streaming.

aquiles-image

A high-performance, memory-efficient inference server for diffusion models, compatible with the OpenAI client

lida

Automatic Generation of Visualizations and Infographics using Large Language Models

openai-cost-calculator

Calculate exact USD cost of each OpenAI API call — no guesswork.

lightagent

LightAgent: Lightweight Python framework for OpenAI-compatible agents with tools, memory, guardrails, tracing, lifecycle hooks, multi-agent collaboration, and workflows.

mycellm

Distributed LLM inference across heterogeneous hardware. Pool GPUs into a P2P network with QUIC transport, Ed25519 identity, and an OpenAI-compatible API.

token-throttle

Multi-resource rate limiting for LLM APIs. Reserve tokens before you call, refund what you don't use, stay under the limit across workers.

ultracompress

Verified AI infrastructure for regulated deployment. UltraCompress (our wedge): near-lossless 5-bit compression with SHA-256-reproducible reconstruction - prove the model in production is the one you validated. 23 architectures (0.6B-405B), Hermes-3-405B @ 1.0066x. OpenAI-compatible API. pip install ultracompress

ezgpt

Python library for easier GPT usage than the default openai library.

lm-proxy

OpenAI-compatible HTTP LLM proxy / gateway for multi-provider inference (Google, Anthropic, OpenAI, PyTorch). Lightweight, extensible Python/FastAPI—use as library or standalone service.

ryzenth

Ryzenth is a flexible Multi-API SDK with built-in support for API key management and database integration.

mlx-omni-server

MLX Omni Server is a local inference server powered by Apple's MLX framework, specifically designed for Apple Silicon (M-series) chips. It implements OpenAI-compatible API endpoints, enabling seamless integration with existing OpenAI SDK clients while leveraging the power of local ML inference.

opencode-llmstack

Cursor-Auto / Claude-tier-style serving for local GGUF models on Mac (M4 Max, 64 GB). FastAPI router fronts llama-swap + llama.cpp, classifying each request into a coder, planner, or uncensored-planner tier. OpenAI-compatible API, opencode integration, per-project subshell, one `llmstack` console-script.