Introduction to Unify Project
Unify is on a mission to simplify the landscape of Large Language Models (LLMs). Its central focus is to make the usage of various LLMs more accessible, efficient, and streamlined for developers. The platform is designed to allow users to harness any LLM from any provider effortlessly. Let's explore the key features and functionalities of the Unify project.
Use Any LLM from Any Provider
Unify provides a unified interface that enables developers to utilize all LLMs from different providers simply by modifying a single string. There is no need to juggle multiple API keys or worry about different input-output formats, as Unify takes care of everything for you. This significantly reduces the complexity involved in managing various models and services.
Improve LLM Performance
Unify allows users to improve the performance of their chosen LLMs by conducting custom tests and evaluations. Developers can benchmark their prompts across all models and providers, comparing quality, cost, and speed. By iterating on their system prompts until all tests pass, users can confidently deploy their applications.
Route to the Best LLM
The platform also offers a smart routing feature, enabling improved quality, cost, and speed by directing each individual prompt to the ideal model and provider. This feature ensures that applications always leverage the most suitable LLM for any given task.
Quickstart Guide
To get started with Unify, simply install the package via pip:
pip install unifyai
After signing up to receive your API key, you're ready to begin:
import unify
client = unify.Unify("gpt-4o@openai", api_key=<your_key>)
client.generate("hello world!")
Utilizing tools like python-dotenv can further simplify managing API keys by storing them in a .env file.
Managing Models, Providers, and Endpoints
Unify provides comprehensive methods to list and filter models, providers, and endpoints. You can easily switch between different combinations using methods such as .set_endpoint, .set_model, and .set_provider to suit your application's needs.
Custom Prompting
Unify allows for custom prompting by letting users influence a model's behavior with a system_message argument. Whether it's making responses rhyme or any other persona adjustment, customization is straightforward.
Default Arguments
The platform supports setting default arguments to maintain fixed parameters like temperature, system prompts, etc., while varying inputs. This feature simplifies managing repeated query aspect adjustments.
Asynchronous Usage
Unify supports asynchronous processing to efficiently handle multiple user requests, ideal for scalable applications like chatbots. Asynchronous clients mirror the functionality of synchronous ones, providing identical capabilities.
Streaming Responses
For those in need of streaming responses, Unify offers this capability in both synchronous and asynchronous modes, allowing developers to access responses as they are generated incrementally.
Dive Deeper
Unify invites users to explore more advanced API features, including detailed documentation about benchmarking and LLM routing, accessible via their docs.
In summary, Unify presents a robust and user-friendly platform for navigating the LLM ecosystem, enhancing performance, and optimizing resource usage through its versatile features. Whether you're developing simple projects or complex applications, Unify is designed to meet your needs efficiently.