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:

Install
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 | Flyte CLI |
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 | Flyte CLI |
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]

Open Source Backend
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
Contributing
We welcome contributions! See the Backend README for backend development, or join us on slack.flyte.org.
CI container image builds for this repository are sponsored by Depot — fast, native multi-arch Docker builds with persistent layer caching.

License
Apache 2.0 — see LICENSE.
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