[Python] Durable function retry settings

I wrote an Azure Function App with Durable Functions. While testing with a large dataset, I realized that the functionTimeout value was 10 mins. This caused some of the orchestrations to timeout. Thus began an indefinite number of retries of the failed orchestrations. I have increased the timeout setting to 1 hour 30 mins, but some of the old retries are still pending and therefore still running. I have tried stopping the function app and restarting it back up, but the execution of the orchestrations continued.

Two questions:

1. Is there a manual way to stop the execution of the orchestrations other than stopping the function app?
2. How do I set the number of retries to 0?

Here's the code for initiating the orchestrations:

import azure.functions as func
import azure.durable_functions as df
from CommonCMPfunc import *
import logging


app = df.DFApp(http_auth_level=func.AuthLevel.FUNCTION)

#HTTP triggered function invoked by the client
@app.route(route="orchestrators/{functionName}/{stateabbr}/{county}")
@app.durable_client_input(client_name="starter")
async def CleanMatchEnrichParcel(req: func.HttpRequest, starter: str) -> func.HttpResponse:
logging.info("CleanMatchEnrichParcel HTTP trigger function processed a request.")
fname = req.route_params["functionName"]
stateabbr = req.route_params["stateabbr"]
county = req.route_params["county"]
fparams = {"stateabbr": stateabbr, "county": county}
instance_id = await starter.start_new(fname, None, fparams)
logging.info(f"Started orchestration with ID = '{instance_id}'.")
response = starter.create_check_status_response(req, instance_id)
return(response)

@app.orchestration_trigger(context_name="context")
def orchestrator_function(context: df.DurableOrchestrationContext):
#orchestration function code
return(response)

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