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Write plain, async-native Python that orchestrates agents, data and ML pipelines, and inference — with the durability, reproducibility, and observability that production demands.
- 🤖 Dynamic, agent-native execution — Write or generate orchestration logic that adapts on the fly at runtime. Loops, conditionals, fan-outs, and LLM-driven control flow are just Python.
- 🛡️ Durable, self-healing workflows — Flyte 2 is infrastructure-aware, automatically recovering from both logic and infrastructure failures like OOM crashes. Every execution is logged, reproducible, and observable from a single UI.
- ⚡ Realtime and batch inference — Flyte 2 handles inference natively, no separate serving stack required.
# pip install flyte
import flyte
env = flyte.TaskEnvironment(name="hello")
@env.task
async def hello(name: str) -> str:
return f"Hello, {name}!"
if __name__ == "__main__":
flyte.init_from_config()
run = flyte.run(hello, name="world")
print(run.url)Show us some ❤️ by starring flyteorg/flyte!
