Aient: The Awakening of Agent.

aient

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aient is a powerful library designed to simplify and unify the use of different large language models, including gpt-4.1/5, o3, DALL-E 3, claude4, gemini-2.5-pro/flash, Vertex AI (Gemini, Gemini), and Groq. The library supports GPT format function calls and has built-in Google search and URL summarization features, greatly enhancing the practicality and flexibility of the models.

✨ Features

• Multi-model support: Integrate various latest large language models.
• Real-time Interaction: Supports real-time query streams, real-time model response retrieval.
• Function Expansion: With built-in function calling support, the model's functions can be easily expanded, currently supporting plugins such as DuckDuckGo and Google search, content summarization, Dalle-3 drawing, arXiv paper summaries, current time, code interpreter, and more.
• Simple Interface: Provides a concise and unified API interface, making it easy to call and manage the model.

Quick Start

The following is a guide on how to quickly integrate and use aient in your Python project.

Install

First, you need to install aient. It can be installed directly via pip:

pip install aient

Usage example

The following is a simple example demonstrating how to use aient to request the GPT-4 model and handle the returned streaming data:

from aient import gemini

# Initialize the model, set the API key and the selected model
bot = gemini(api_key="{YOUR_API_KEY}", engine="gpt-4o")

# Get response
result = bot.ask("python list use")

# Send request and get streaming response in real-time
for text in bot.ask_stream("python list use"):
    print(text, end="")

# Disable all plugins
bot = gemini(api_key="{YOUR_API_KEY}", engine="gpt-4o", use_plugins=False)

🍃 Environment Variables

The following is a list of environment variables related to plugin settings:

| Variable Name | Description | Required?