tshift-llm 0.2.2

A flexible LLM manager that shifts between multiple models

ThinkShift_LLM

ThinkShift_LLM is a flexible LLM manager that shifts between multiple language models to ensure robust and uninterrupted AI-powered conversations.

Features

• Manages multiple LiteLLM clients
• Shifts between models when errors occur
• Supports both streaming and non-streaming completions
• Detailed logging of all interactions
• Round-robin client selection

Installation

You can install tShift_LLM using pip:

pip install tshift-llm

Usage

Here's a quick example of how to use tShift_LLM:

from tshift_llm import tShift_LLM, LiteLLMClient

clients = [
    LiteLLMClient("gpt-3.5-turbo", "your-openai-key"),
    LiteLLMClient("claude-2", "your-anthropic-key"),
    LiteLLMClient("command-nightly", "your-cohere-key")
]

tshift_llm = tShift_LLM(clients)

response = tshift_llm.completion(
    messages=[{"role": "user", "content": "Hello, how are you?"}]
)
print(response.choices[0].message.content)

For more detailed usage instructions, please refer to the documentation.

License

This project is licensed under the MIT License - see the LICENSE file for details.