lastmileai added to PyPI

LastMile AI Python Library

This library provides access to the LastMile AI API from Python. The code should reflect the same API endpoints documented here: https://lastmileai.dev/docs/api

API Token

This library requires a LastMile AI API Token, which can be obtained from https://lastmileai.dev/settings?page=tokens.

Important note: this library should only be used from a server-side context, where the API key can be securely accessed. Using this library from client-side browser code will expose your private API key!

Installation

pip install lastmileai

Usage

Initialize Library with API Key

This library needs to be configured with your API Token (aka API key) obtained above. You can store the API key in an environment variable or alternative secure storage that can be accessed in your server-side code. For example, to initialize the library with the API key loaded from environment variable:

import os from lastmileai import LastMile lastmile = LastMile ( api_key = os . environ [ “LASTMILEAI_API_KEY” ])

Completions — Open AI Models

OpenAI completions are supported out-of the box for ChatGPT and GPT3 models:

completion = lastmile . create_openai_completion ( completion_params = { model : “text-davinci-003” , prompt : “Your prompt here” , } )

completion = lastmile . create_openai_chat_completion ( completion_params = { model : “gpt-3.5-turbo” , messages : [ { role : “user” , content : “Your prompt here” }, ], } )

Completions — Custom Models

completion = lastmile . create_openai_completion ( completion_params = { model : “text-davinci-003” , prompt : “Your prompt here” , }, embedding_collection_id = “clfpqyvpp004npmzgp1d4j4fw” )

Run tests

GPT’s reaction to this article:

As a language model AI, I am not able to run tests. However, I can tell you that it is always a good practice to test any code that you write to ensure its functionality and correctness.