📄️ Overview
Create and deploy serverless Handler Functions with RunPod, processing submitted inputs and generating output without managing server infrastructure, ideal for efficient, cost-effective, and rapid deployment of code.
📄️ Generator Handler
RunPod offers real-time streaming for Language Model tasks, providing users with instant updates on job outputs. Two types of generator functions are supported, including regular and async generators, with the option to enable aggregate streaming for seamless access to results.
📄️ Asynchronous Handler
RunPod supports asynchronous handlers in Python, enabling efficient handling of tasks with non-blocking operations, such as processing large datasets, API interactions, or I/O-bound operations, boosting efficiency, scalability, and flexibility.
📄️ Handling Errors
Learn how to handle exceptions and implement custom error responses in your RunPod SDK handler function, including how to validate input and return customized error messages.
📄️ Additional controls
Send progress updates during job execution using the runpod.serverless.progress_update function, and refresh workers for long-running or complex jobs by returning a dictionary with a 'refresh_worker' flag in your handler.
📄️ Concurrent Handlers
RunPod's concurrency functionality enables efficient task handling through asynchronous requests, allowing a single worker to manage multiple tasks concurrently. The concurrency_modifier configures the worker's concurrency level to optimize resource consumption and performance.