Docs - Autoscaler

Route Endpoint

Warning: The Autoscaler is currently in Beta, and is subject to changes, 'quirks', and downtime.

The endpoint is called to get a worker to send a request to.


  • endpoint: The name of the endpoint group to use

  • api_key: The api_key associated with the account that controls the endpoint group

  • cost: The estimated compute resources of the request.


  • url: The address of the worker instance to send the request to

  • reqnum: The request number corresponding to this worker instance. Note that the worker expects to recieve requests in roughly the same order as these reqnums, but there is flexibility on this due to potential out of order requests caused by concurrency, or small delays on the proxy server.

  • signature: The signature signed by the private key corresponding to the public key associated with the autoscaler, which is availble at

  • endpoint: same as input parameter to /route/

  • cost: same as input parameter to /route/

Here is an example of calling the route endpoint in python, and then calling generate on the returned worker:

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 max_tokens = 256 route_payload = { "endpoint": ENDPOINT_NAME, "api_key": API_KEY, "cost": max_tokens } response ="", headers={"Content-Type": "application/json"}, data=json.dumps(route_payload), timeout=4) if response.status_code != 200: print(f"Failed to get worker address, response.status_code: {response.status_code}") return message = response.json() worker_address = message['url'] print(f"calling {worker_address}/generate") generate_url = f"{worker_address}/generate" generate_payload = message generate_payload["inputs"] = prompt_input generate_payload["parameters"] = {"max_new_tokens": max_tokens} generate_response =, headers={"Content-Type": "application/json"}, data=json.dumps(generate_payload), stream=args.generate_stream) if generate_response.status_code != 200: print(f"Failed to call /generate endpoint for {generate_url} {generate_response.status_code}") return print(f"Response from {generate_url}:", generate_response.text)

Or here is an example of calling route with curl

curl -X POST -d '{"endpoint": ENDPOINT_NAME, "api_key": API_KEY, "cost": 256}' -H 'Content-Type: application/json'

Example response:

{ "cost": 256.0, "endpoint": "Llama-2-70b-chat", "reqnum": 14395, "signature": "NpSvPfSajCGwox3QUz1svL9eTVbsGNMWWdDUuxKX1552ADdYxAra2rb4vMgdOwUOmVFngAyIwNZXxjyThXyOZDAnpS+TzZC1LNtvhGmb/wpkBpTjsxkwOGrW0LSq1DIn0usBGhibBIWjFm9/FvGRJvOau9i75gh1+ErEE2H3iVPBtNERQcjMUbflbe0qIr0j2OPIFjiUOwvHooVccI+yX0HOeuUUPG3+8vu4Ek6N/Vmb91rz9VvlAnALImq89zn0U9bYU1wZ6gUI/JkNaz+QKaUpvvcr569jMOCtSmiap+BAQD5113AxexVfNIVDv/x60A3UQS7wrlC2t9qWaTuaJw==", "url": "" }

For a more complete test example see the example script here:

python3 "" API_KEY "Llama-2-70b-chat" "What is Deep Learning?" 1 --generate_stream