multiai 0.6

A Python library for text-based AI interactions

multiai

multiai is a Python library and command-line tool designed to interact with text-based generative AI models from the following providers:

AI Provider	Web Service	Models Available
OpenAI	ChatGPT	GPT Models
Anthropic	Claude	Claude Models
Google	Gemini	Gemini Models
Perplexity	Perplexity	Perplexity Models
Mistral	Mistral	Mistral Models

Key Features

• Interactive Chat: Communicate with AI directly from your terminal.
• Multi-Line Input: Supports multi-line prompts for complex queries.
• Pager for Long Responses: View lengthy responses conveniently using a pager.
• Continuation Handling: Automatically handle and request continuations if responses are cut off.
• Automatic Chat Logging: Automatically save your chat history for future reference.

Usage

Install multiai, then configure your API keys for your chosen AI providers as environment variables or in a user-setting file. Once that's done, you can start interacting with the AI.

• To send a simple query:

  ai hi
  

  You should see a response like:

  gpt-4o-mini>
  Hello! How can I assist you today?
  

• For an interactive session, enter interactive mode:

  ai
  

  In this mode, you can continue the conversation:

  user> hi
  gpt-4o-mini>
  Hello! How can I assist you today?
  user> how are you
  gpt-4o-mini>
  I'm just a program, so I don't have feelings, but I'm here and ready to help you! How about you? How are you doing?
  user>
  

To see a list of all command-line options, use:

ai -h

For more detailed documentation, you can open the manual in a web browser with:

ai -d

Using multiai as a Python Library

multiai can also be used as a Python library. Here’s a simple example:

import multiai

# Initialize the client
client = multiai.Prompt()
client.set_model('openai', 'gpt-4o')  # Set model
client.temperature = 0.5  # Set temperature

# Send a prompt and get a response
answer = client.ask('hi')
print(answer)

# Continue the conversation with context
answer = client.ask('how are you')
print(answer)

# Clear the conversation context
client.clear()

The manual includes the following sample codes:

• A script that translates a text file into English.
• A local chat app that allows you to easily select from various AI models provided by different providers and engage in conversations with them.