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import argparse
import os
import sys
import uvicorn
from fastapi import FastAPI, Depends
from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
from pydantic import BaseModel, Field
from sse_starlette.sse import EventSourceResponse, ServerSentEvent
from utils.logger import logger
from networks.message_streamer import MessageStreamer
from messagers.message_composer import MessageComposer
from mocks.stream_chat_mocker import stream_chat_mock
class ChatAPIApp:
def __init__(self):
self.app = FastAPI(
docs_url="/",
title="HuggingFace LLM API",
swagger_ui_parameters={"defaultModelsExpandDepth": -1},
version="1.0",
)
self.setup_routes()
def get_available_models(self):
# ANCHOR[id=available-models]: Available models
self.available_models = [
{
"id": "mixtral-8x7b",
"description": "[mistralai/Mixtral-8x7B-Instruct-v0.1]: https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1",
},
{
"id": "mistral-7b",
"description": "[mistralai/Mistral-7B-Instruct-v0.2]: https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2",
},
{
"id": "openchat-3.5",
"description": "[openchat/openchat-3.5-1210]: https://huggingface.co/openchat/openchat-3.5-1210",
},
]
return self.available_models
def extract_api_key(
credentials: HTTPAuthorizationCredentials = Depends(
HTTPBearer(auto_error=False)
),
):
if credentials:
return credentials.credentials
else:
return os.getenv("HF_TOKEN") or None
class ChatCompletionsPostItem(BaseModel):
model: str = Field(
default="mixtral-8x7b",
description="(str) `mixtral-8x7b`",
)
messages: list = Field(
default=[{"role": "user", "content": "Hello, who are you?"}],
description="(list) Messages",
)
temperature: float = Field(
default=0.01,
description="(float) Temperature",
)
max_tokens: int = Field(
default=4096,
description="(int) Max tokens",
)
stream: bool = Field(
default=True,
description="(bool) Stream",
)
def chat_completions(
self, item: ChatCompletionsPostItem, api_key: str = Depends(extract_api_key)
):
streamer = MessageStreamer(model=item.model)
composer = MessageComposer(model=item.model)
composer.merge(messages=item.messages)
# streamer.chat = stream_chat_mock
stream_response = streamer.chat_response(
prompt=composer.merged_str,
temperature=item.temperature,
max_new_tokens=item.max_tokens,
api_key=api_key,
)
if item.stream:
event_source_response = EventSourceResponse(
streamer.chat_return_generator(stream_response),
media_type="text/event-stream",
ping=2000,
ping_message_factory=lambda: ServerSentEvent(**{"comment": ""}),
)
return event_source_response
else:
data_response = streamer.chat_return_dict(stream_response)
return data_response
def setup_routes(self):
for prefix in ["", "/v1"]:
self.app.get(
prefix + "/models",
summary="Get available models",
)(self.get_available_models)
self.app.post(
prefix + "/chat/completions",
summary="Chat completions in conversation session",
)(self.chat_completions)
class ArgParser(argparse.ArgumentParser):
def __init__(self, *args, **kwargs):
super(ArgParser, self).__init__(*args, **kwargs)
self.add_argument(
"-s",
"--server",
type=str,
default="0.0.0.0",
help="Server IP for HF LLM Chat API",
)
self.add_argument(
"-p",
"--port",
type=int,
default=23333,
help="Server Port for HF LLM Chat API",
)
self.add_argument(
"-d",
"--dev",
default=False,
action="store_true",
help="Run in dev mode",
)
self.args = self.parse_args(sys.argv[1:])
app = ChatAPIApp().app
if __name__ == "__main__":
args = ArgParser().args
if args.dev:
uvicorn.run("__main__:app", host=args.server, port=args.port, reload=True)
else:
uvicorn.run("__main__:app", host=args.server, port=args.port, reload=False)
# python -m apis.chat_api # [Docker] on product mode
# python -m apis.chat_api -d # [Dev] on develop mode
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