[!IMPORTANT]

## Flyte 2 is now generally available!

> Read more in the announcement here.

> Want to try Flyte 2 locally? Run the Devbox locally,

or you can try it on Github Codespaces.

>

> Looking for Flyte 1? Go to the master branch, where Flyte 1 is now maintained.

Flyte 2

Reliably orchestrate ML pipelines, models, and agents at scale — in pure Python.

Flyte is a Graduated project of the LF AI & Data Foundation.

10 minutes to Flyte 2

The quickest way to get a feel for Flyte 2 is in this notebook:

uv pip install flyte

For the full SDK and development tools, see the flyte-sdk repository.

Example

import asyncio
import flyte
env = flyte.TaskEnvironment(
    name="hello_world",
    image=flyte.Image.from_debian_base(python_version=(3, 12)),
)
@env.task
def calculate(x: int) -> int:
    return x * 2 + 5
@env.task
async def main(numbers: list[int]) -> float:
    results = await asyncio.gather(*[
        calculate.aio(num) for num in numbers
    ])
    return sum(results) / len(results)
if __name__ == "__main__":
    flyte.init()
    run = flyte.run(main, numbers=list(range(10)))
    print(f"Result: {run.result}")

python hello.py

flyte run hello.py main --numbers '[1,2,3]'

Serve a Model

# serving.py
from fastapi import FastAPI
import flyte
from flyte.app.extras import FastAPIAppEnvironment
app = FastAPI()
env = FastAPIAppEnvironment(
    name="my-model",
    app=app,
    image=flyte.Image.from_debian_base(python_version=(3, 12)).with_pip_packages(
        "fastapi", "uvicorn"
    ),
)
@app.get("/predict")
async def predict(x: float) -> dict:
    return {"result": x * 2 + 5}
if __name__ == "__main__":
    flyte.init_from_config()
    flyte.serve(env)

python serving.py

flyte serve serving.py env

Local Development Experience

Install the TUI for a rich local development experience:

uv pip install flyte[tui]

The open source backend for Flyte 2 is coming soon. This repository will contain the Kubernetes-native backend infrastructure for deploying Flyte 2 as a distributed, multi-node service. See the Backend README for the current state of the backend, protocol buffer definitions, and contribution guide.

If you need an enterprise-ready, production-grade backend for Flyte 2 today, it is available on Union.ai.

Learn More

• Try DevBox - Get started
• Try Devbox in Github Codespaces - Get started in the browser
• SDK Reference — API reference docs
• CLI Reference — CLI docs
• flyte-sdk — The Flyte 2 Python SDK repository
• Slack | GitHub Discussions | Issues

Contributing

We welcome contributions! See the Backend README for backend development, or join us on slack.flyte.org.

Sponsors

CI container image builds for this repository are sponsored by Depot — fast, native multi-arch Docker builds with persistent layer caching.

Apache 2.0 — see LICENSE.