Handler
Handler Types
Basic
import runpod
def handler(job):
return "Your job results"
runpod.serverless.start({
"handler": handler # Required
})
Generator Type
RunPod provides a robust streaming feature that enables users to receive real-time updates on job outputs, mainly when dealing with Language Model tasks. We support two types of streaming generator functions: regular generator and async generator.
import runpod
def generator_handler(job):
for count in range(3):
result = f"This is the {count} generated output."
yield result
runpod.serverless.start({
"handler": generator_handler, # Required
"return_aggregate_stream": True # Optional, results available via /run
})
Async Generator
import runpod
async def async_generator_handler(job):
for i in range(5):
output = f"Generated async token output {i}"
yield output
await asyncio.sleep(1) # Simulate an asynchronous task (e.g., LLM processing time).
runpod.serverless.start({
"handler": async_generator_handler, # Required
"return_aggregate_stream": True # Optional, results available via /run
})
Updated about 1 month ago