TensorRT-LLMs/tensorrt_llm/serve/openai_disagg_server.py
Kaiyu Xie 77d7fe1eb2
Update TensorRT-LLM (#2849)
* Update TensorRT-LLM

---------

Co-authored-by: aotman <chenhangatm@gmail.com>
2025-03-04 18:44:00 +08:00

220 lines
9.4 KiB
Python

#!/usr/bin/env python
import asyncio
import copy
import logging
import signal
from contextlib import asynccontextmanager
from http import HTTPStatus
from typing import List, Union
import aiohttp
import uvicorn
from fastapi import FastAPI, HTTPException
from fastapi.exceptions import RequestValidationError
from fastapi.responses import JSONResponse, Response, StreamingResponse
# yapf: disable
from tensorrt_llm.executor import CppExecutorError
from tensorrt_llm.serve.openai_protocol import (CompletionRequest,
CompletionResponse,
DisaggregatedParams,
ErrorResponse)
from tensorrt_llm.version import __version__ as VERSION
logging.basicConfig(level=logging.INFO)
# yapf: enale
TIMEOUT_KEEP_ALIVE = 10 # seconds.
class OpenAIDisaggServer:
def __init__(self,
ctx_servers: List[str] = None,
gen_servers: List[str] = None,
req_timeout_secs: int = 180,
server_start_timeout_secs: int = 180):
self.ctx_servers = ctx_servers
self.gen_servers = gen_servers
self.ctx_server_idx = 0
self.gen_server_idx = 0
if (len(self.ctx_servers) == 0) or (len(self.gen_servers) == 0):
raise ValueError("At least one context server and one generation server must be provided")
# Session will be initialized in lifespan
self.session = None
@asynccontextmanager
async def lifespan(app: FastAPI):
# Create a persistent aiohttp ClientSession
self.session = aiohttp.ClientSession(
connector=aiohttp.TCPConnector(limit=0, limit_per_host=0, keepalive_timeout=300),
timeout=aiohttp.ClientTimeout(total=req_timeout_secs))
logging.info("Waiting for context and generation servers to be ready")
await self.wait_for_servers_ready(server_start_timeout_secs)
yield
await self.session.close() # Ensure session cleanup
self.app = FastAPI(lifespan=lifespan)
@self.app.exception_handler(RequestValidationError)
async def validation_exception_handler(_, exc):
return JSONResponse(status_code=400, content={"error": str(exc)})
self.register_routes()
@staticmethod
def create_error_response(
message: str,
status_code: HTTPStatus = HTTPStatus.BAD_REQUEST) -> ErrorResponse:
raise HTTPException(status_code=500, detail=f"Internal server error {message}")
def register_routes(self):
self.app.add_api_route("/health", self.health, methods=["GET"])
self.app.add_api_route("/version", self.version, methods=["GET"])
self.app.add_api_route("/v1/completions",
self.openai_completion,
methods=["POST"])
async def health(self) -> Response:
return Response(status_code=200)
async def version(self) -> JSONResponse:
ver = {"version": VERSION}
return JSONResponse(content=ver)
async def openai_completion(self, req: CompletionRequest) -> Response:
try:
gen_req = copy.deepcopy(req)
if not isinstance(req.prompt, str):
# Check if it's a list and contains integers
if type(req.prompt) is list and len(req.prompt) == 1:
req.prompt = req.prompt[0]
elif not isinstance(req.prompt, list) or not all(isinstance(x, int) for x in req.prompt):
raise ValueError("Disaggregated server currently only supports single string prompt or list of integers in request")
# Pick a context server
ctx_server = self.get_next_server(self.ctx_servers, "context")
logging.info("Sending request to ctx server: %s", ctx_server)
# Send request to context server
req.max_tokens = 1
req.disaggregated_params = DisaggregatedParams(request_type="context_only")
# Disable streaming for context server
req.stream = False
ctx_response = await self.send_request(ctx_server, req)
#TODO: Context server should skip de-tokenization and return raw tokens
choices = ctx_response.choices
if len(choices) > 1:
raise ValueError("Disagg server returned more than one choice. This is currently not supported in disaggregated server.")
if choices[0].disaggregated_params is None:
raise ValueError("Context server did not return disaggregated params")
# Append disaggregates parameters to generation request
gen_req.disaggregated_params = choices[0].disaggregated_params
gen_req.disaggregated_params.request_type = "generation_only"
# Pick a generation server and send request
gen_server = self.get_next_server(self.gen_servers, "generation")
logging.info("Sending request to gen server: %s", gen_server)
gen_response = await self.send_request(gen_server, gen_req)
return gen_response
except CppExecutorError as e:
# If internal executor error is raised, shutdown the server
logging.exception(e)
signal.raise_signal(signal.SIGINT)
except HTTPException as e:
raise e # Re-raise HTTP exceptions properly
except Exception as e:
logging.exception(e)
raise HTTPException(status_code=500, detail=f"Internal server error {str(e)}")
async def __call__(self, host, port):
config = uvicorn.Config(self.app,
host=host,
port=port,
log_level="info",
timeout_keep_alive=TIMEOUT_KEEP_ALIVE)
await uvicorn.Server(config).serve()
def get_next_server(self, servers: List[str], server_type: str) -> str:
"""Round-robin selection of next available server"""
if not servers:
raise ValueError(f"No {server_type} servers available")
# Pick context and gen servers in round-robin fashion
# TODO: In future, use endpoint to monitor load and pick the least loaded server
if server_type == "context":
server = servers[self.ctx_server_idx]
self.ctx_server_idx = (self.ctx_server_idx + 1) % len(servers)
else:
server = servers[self.gen_server_idx]
self.gen_server_idx = (self.gen_server_idx + 1) % len(servers)
return server
async def create_completion_generator(self, url: str, request: CompletionRequest):
async with self.session.post(url + "/v1/completions", json=request.model_dump(exclude_unset=True)) as response:
content_type = response.headers.get("Content-Type", "")
if "text/event-stream" in content_type:
if not request.stream:
raise ValueError("Received an event-stream although request stream was False")
try:
async for line in response.content.iter_any():
if line:
yield line
await asyncio.sleep(0)
except Exception as e:
logging.error(f"Unexpected error in stream: {e}")
raise
async def send_request(self, url: str, request: CompletionRequest) -> Union[CompletionResponse, StreamingResponse]:
if request.stream:
response_generator = self.create_completion_generator(url, request)
return StreamingResponse(content=response_generator, media_type="text/event-stream")
else:
"""Send an asynchronous request and return JSON response"""
async with self.session.post(url + "/v1/completions", json=request.model_dump(exclude_unset=True)) as response:
content_type = response.headers.get("Content-Type", "")
if "text/event-stream" in content_type:
raise ValueError("Received an event-stream although request stream was False")
response_dict = await response.json()
response.raise_for_status()
return CompletionResponse(**response_dict)
async def check_server_ready(self, server_url: str) -> bool:
try:
async with self.session.get(server_url+"/health") as response:
return response.status == 200
except Exception:
return False
async def wait_for_servers_ready(self, server_start_timeout_secs: int = 180):
async def are_servers_ready():
context_ready = all([await self.check_server_ready(url) for url in self.ctx_servers])
generation_ready = all([await self.check_server_ready(url) for url in self.gen_servers])
return context_ready and generation_ready
async def check_all_servers_ready():
while not await are_servers_ready():
wait_time = 3
logging.info("Context and generation servers are not ready. Waiting...")
await asyncio.sleep(wait_time)
try:
await asyncio.wait_for(check_all_servers_ready(), timeout=server_start_timeout_secs)
except asyncio.CancelledError:
raise TimeoutError("Timeout waiting for context and generation servers to be ready")