curl -fsSL https://cli.inference.sh | sh

infsh update   # Update CLI
infsh login    # Authenticate
infsh me       # Check current user

infsh app init my-app    # Create app
infsh app test           # Test locally
infsh app deploy         # Deploy

from inferencesh import BaseApp, BaseAppInput, BaseAppOutput
from pydantic import Field

class AppSetup(BaseAppInput):
    """Setup parameters - triggers re-init when changed"""
    model_id: str = Field(default="gpt2", description="Model to load")

class AppInput(BaseAppInput):
    prompt: str = Field(description="Input prompt")

class AppOutput(BaseAppOutput):
    result: str = Field(description="Output result")

class App(BaseApp):
    async def setup(self, config: AppSetup):
        """Runs once when worker starts or config changes"""
        self.model = load_model(config.model_id)

    async def run(self, input_data: AppInput) -> AppOutput:
        """Default function - runs for each request"""
        return AppOutput(result="done")

    async def unload(self):
        """Cleanup on shutdown"""
        pass

    async def on_cancel(self):
        """Called when user cancels - for long-running tasks"""
        return True


# Multi-function apps: add more functions with type hints
class OtherInput(BaseModel):
    text: str

class OtherOutput(BaseModel):
    result: str

class App(BaseApp):
    async def run(self, input_data: AppInput) -> AppOutput:
        """Default function"""
        return AppOutput(result="done")

    async def other_function(self, input_data: OtherInput) -> OtherOutput:
        """Additional function - called via API with function="other_function" """
        return OtherOutput(result=input_data.text.upper())