takeoff-sdk 0.0.5

Takeoff SDK package is a python sdk that provides a simple interface to interact with Takeoff

Takeoff SDK - Internal

Table of Contents

• Takeoff SDK - Internal
  • Table of Contents
  • About
  • Getting Started
    • Installing
  • Usage
    • Launch Takeoff
    • Add Extra Model

About

The Takeoff SDK library facilitates launching Takeoff within Python. It provides a Pythonic interface, simplifying the process of initiating Takeoff using the docker run command. Essentially, it wraps the dev.sh script, which manages Docker with all necessary environment variables, volume mounting, network configuration, and device settings. This library is specifically designed for an internal team of developers who need to integrate Python applications with the Takeoff Server, offering a quick and straightforward way to start Takeoff in a Python runtime. It also enables running benchmarks and integration tests.

Getting Started

Installing

To get started with the Takeoff SDK Library, you can install it directly using pip:

pip install takeoff_sdk

Alternatively, if you are working on developing the library, you can install it in editable mode. This allows you to make changes to the library and test them in real-time. Navigate to the takeoff-sdk folder and run the following command:

pip install -e . 

Usage

Launch Takeoff

To quickly launch the Takeoff server with default configurations, use the following script:

from takeoff_sdk import Takeoff

takeoff = Takeoff(model_name="test_model", device="cuda")
takeoff.start() # this will start a docker with takeoff server in the background

For a more customized setup:

from takeoff_sdk import Takeoff, TakeoffEnvSetting
config = TakeoffEnvSetting(model_name="test_model", device="cpu", max_batch_size=16)
takeoff = Takeoff.from_config(config)
takeoff.start() # this will start a docker with takeoff server in the background

Refer to the TakeoffEnvSetting Data Object or Takeoff Environment Variables Settings for additional configuration options.

Add Extra Model

This utilizes the model_management_api functionality, which in python you can do:

# assume you have a takeoff object running
# takeoff.start() running

 # This will add one more model to `embedding` consumer group
takeoff.add_model(model_name="test_model", backend="hf", device="cuda", consumer_group="embedding")