mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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77 lines
2.3 KiB
Python
77 lines
2.3 KiB
Python
# Adapted from
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# https://github.com/vllm-project/vllm/blob/baaedfdb2d3f1d70b7dbcde08b083abfe6017a92/tests/utils.py
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import os
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import subprocess
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import sys
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import time
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from typing import List
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import openai
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import requests
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LLM_ROOT = os.path.dirname(
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os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
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SERVER_PATH = os.path.join(LLM_ROOT, "examples", "apps", "openai_server.py")
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class RemoteOpenAIServer:
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DUMMY_API_KEY = "tensorrt_llm"
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MAX_SERVER_START_WAIT_S = 600 # wait for server to start for 60 seconds
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def __init__(
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self,
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model: str,
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cli_args: List[str],
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) -> None:
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self.host = '0.0.0.0'
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self.port = 8000
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self.proc = subprocess.Popen(["python3", SERVER_PATH] + [model] +
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cli_args,
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stdout=sys.stdout,
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stderr=sys.stderr)
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self._wait_for_server(url=self.url_for("health"),
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timeout=self.MAX_SERVER_START_WAIT_S)
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def __enter__(self):
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return self
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def __exit__(self, exc_type, exc_value, traceback):
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self.proc.terminate()
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def _wait_for_server(self, *, url: str, timeout: float):
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# run health check
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start = time.time()
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while True:
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try:
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if requests.get(url).status_code == 200:
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break
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except Exception as err:
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result = self.proc.poll()
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if result is not None and result != 0:
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raise RuntimeError("Server exited unexpectedly.") from err
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time.sleep(0.5)
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if time.time() - start > timeout:
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raise RuntimeError(
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"Server failed to start in time.") from err
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@property
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def url_root(self) -> str:
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return f"http://{self.host}:{self.port}"
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def url_for(self, *parts: str) -> str:
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return self.url_root + "/" + "/".join(parts)
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def get_client(self):
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return openai.OpenAI(
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base_url=self.url_for("v1"),
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api_key=self.DUMMY_API_KEY,
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)
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def get_async_client(self):
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return openai.AsyncOpenAI(
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base_url=self.url_for("v1"),
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api_key=self.DUMMY_API_KEY,
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)
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