Command Line based configuration#
Configuring and running the router#
The router can be configured using command-line arguments. Below are the available options:
Basic Options#
--host: The host to run the server on. Default is0.0.0.0.--port: The port to run the server on. Default is8001.
Service Discovery Options#
--service-discovery: The service discovery type. Options arestaticork8s. This option is required.--static-backends: The URLs of static serving engines, separated by commas (e.g.,http://localhost:8000,http://localhost:8001).--static-models: The models running in the static serving engines, separated by commas (e.g.,model1,model2).--k8s-port: The port of vLLM processes when using K8s service discovery. Default is8000.--k8s-namespace: The namespace of vLLM pods when using K8s service discovery. Default isdefault.--k8s-label-selector: The label selector to filter vLLM pods when using K8s service discovery.
Routing Logic Options#
--routing-logic: The routing logic to use. Options areroundrobinorsession. This option is required.--session-key: The key (in the header) to identify a session.
Monitoring Options#
--engine-stats-interval: The interval in seconds to scrape engine statistics. Default is30.--request-stats-window: The sliding window seconds to compute request statistics. Default is60.
Logging Options#
--log-stats: Log statistics every 30 seconds.--callbacks: The path to the callback instance extending CustomCallbackHandler (e.g.my_callbacks.my_callback_handler_instance).
Build docker image#
docker build -t <image_name>:<tag> -f docker/Dockerfile .
Example commands to run the router#
You can install the router using the following command:
pip install -e .
vllm-router --port 8000 \
--service-discovery static \
--static-backends "http://localhost:9001,http://localhost:9002,http://localhost:9003" \
--static-models "facebook/opt-125m,meta-llama/Llama-3.1-8B-Instruct,facebook/opt-125m" \
--engine-stats-interval 10 \
--log-stats \
--routing-logic roundrobin
Hooking into custom callbacks#
The router can be extended to add custom callbacks at various points in the request lifecycle.
For this you will need to create a custom callback handler instance, implementing at least one of the available callback methods. You can find all available callbacks along with detailed descriptions in the abstract CustomCallbackHandler class.
# my_callbacks.py
from fastapi import Request, Response
from vllm_router.services.callbacks_service.custom_callbacks import CustomCallbackHandler
class MyCustomCallbackHandler(CustomCallbackHandler):
def pre_request(self, request: Request, request_body: bytes, request_json: any) -> Response | None:
"""
Receives the request object before it gets proxied.
"""
if b"coffee" in request_body:
return Response("I'm a teapot", 418)
def post_request(self, request: Request, response_content: bytes) -> None:
"""
Is executed as a background task, receives the request object
and the complete response_content.
"""
with open("/tmp/response.txt", "ab") as f:
f.write(response_content)
my_callback_handler_instance = MyCustomCallbackHandler()
You can pass the instance to the router with the filename first (without the file ending), followed by the instance, separated by a dot like this:
vllm-router ... --callbacks my_callbacks.my_callback_handler_instance