Hi folks, First of all, I really love the new job configuration style. It makes it very easy to change swaths of jobs and to streamline the way jobs are submitted to the cluster. I had no issues with the dynamic runner and I like the way that tags interact. My question is for the dynamic job runner; is it possible to send the job to a different job *handler* dynamically? Or is it already given to the default handler at the time that the dynamic function is called? I want to do something like this: def ncbi_blastn_wrapper(job): # Send to a different handler? inp_data = dict( [ ( da.name, da.dataset ) for da in job.input_datasets ] ) inp_data.update( [ ( da.name, da.dataset ) for da in job.input_library_datasets ] ) query_file = inp_data[ "query" ].file_name query_size = os.path.getsize( query_file ) if query_size > 1024 * 1024: handlername = "bighandler" else: handlername = "smallhandler" return JobDestination(runner="pbs", handler=handlername, params={"Resource_List": "24:00:00"}) The way I have it set up now, my handlers are pointing at different clusters with different capabilities, and it would be cool to make the decision which to run at runtime. Thanks a ton! Carrie Ganote