api_server.py 2.76 KB
Newer Older
Zhuohan Li's avatar
Zhuohan Li committed
1
2
3
4
import argparse
import json
from typing import AsyncGenerator

5
from fastapi import FastAPI, Request
6
from fastapi.responses import JSONResponse, Response, StreamingResponse
Zhuohan Li's avatar
Zhuohan Li committed
7
8
import uvicorn

Woosuk Kwon's avatar
Woosuk Kwon committed
9
10
11
12
from vllm.engine.arg_utils import AsyncEngineArgs
from vllm.engine.async_llm_engine import AsyncLLMEngine
from vllm.sampling_params import SamplingParams
from vllm.utils import random_uuid
Zhuohan Li's avatar
Zhuohan Li committed
13

14
15
TIMEOUT_KEEP_ALIVE = 5  # seconds.
TIMEOUT_TO_PREVENT_DEADLOCK = 1  # seconds.
Zhuohan Li's avatar
Zhuohan Li committed
16
app = FastAPI()
17
engine = None
Zhuohan Li's avatar
Zhuohan Li committed
18
19


20
21
22
23
24
25
@app.get("/health")
async def health() -> Response:
    """Health check."""
    return Response(status_code=200)


Zhuohan Li's avatar
Zhuohan Li committed
26
@app.post("/generate")
27
async def generate(request: Request) -> Response:
28
    """Generate completion for the request.
29
30
31

    The request should be a JSON object with the following fields:
    - prompt: the prompt to use for the generation.
32
    - stream: whether to stream the results or not.
33
34
    - other fields: the sampling parameters (See `SamplingParams` for details).
    """
Zhuohan Li's avatar
Zhuohan Li committed
35
36
    request_dict = await request.json()
    prompt = request_dict.pop("prompt")
37
    stream = request_dict.pop("stream", False)
Zhuohan Li's avatar
Zhuohan Li committed
38
    sampling_params = SamplingParams(**request_dict)
39
    request_id = random_uuid()
40

Zhuohan Li's avatar
Zhuohan Li committed
41
    results_generator = engine.generate(prompt, sampling_params, request_id)
Zhuohan Li's avatar
Zhuohan Li committed
42

43
    # Streaming case
Zhuohan Li's avatar
Zhuohan Li committed
44
45
46
47
    async def stream_results() -> AsyncGenerator[bytes, None]:
        async for request_output in results_generator:
            prompt = request_output.prompt
            text_outputs = [
48
                prompt + output.text for output in request_output.outputs
Zhuohan Li's avatar
Zhuohan Li committed
49
            ]
50
            ret = {"text": text_outputs}
Zhuohan Li's avatar
Zhuohan Li committed
51
52
            yield (json.dumps(ret) + "\0").encode("utf-8")

53
    if stream:
54
        return StreamingResponse(stream_results())
55
56
57
58
59
60

    # Non-streaming case
    final_output = None
    async for request_output in results_generator:
        if await request.is_disconnected():
            # Abort the request if the client disconnects.
Zhuohan Li's avatar
Zhuohan Li committed
61
            await engine.abort(request_id)
62
63
64
65
66
            return Response(status_code=499)
        final_output = request_output

    assert final_output is not None
    prompt = final_output.prompt
67
    text_outputs = [prompt + output.text for output in final_output.outputs]
68
    ret = {"text": text_outputs}
69
    return JSONResponse(ret)
Zhuohan Li's avatar
Zhuohan Li committed
70
71
72
73


if __name__ == "__main__":
    parser = argparse.ArgumentParser()
74
    parser.add_argument("--host", type=str, default=None)
75
    parser.add_argument("--port", type=int, default=8000)
Zhuohan Li's avatar
Zhuohan Li committed
76
    parser = AsyncEngineArgs.add_cli_args(parser)
Zhuohan Li's avatar
Zhuohan Li committed
77
78
    args = parser.parse_args()

Zhuohan Li's avatar
Zhuohan Li committed
79
    engine_args = AsyncEngineArgs.from_cli_args(args)
80
    engine = AsyncLLMEngine.from_engine_args(engine_args)
Zhuohan Li's avatar
Zhuohan Li committed
81

82
83
84
85
    uvicorn.run(app,
                host=args.host,
                port=args.port,
                log_level="debug",
86
                timeout_keep_alive=TIMEOUT_KEEP_ALIVE)