e00eb09ef3
When the request is cancelled, cancel the load task. In addition, when checking if a model container exists, also check if the model is fully loaded. Signed-off-by: kingbri <bdashore3@proton.me>
266 lines
8.1 KiB
Python
266 lines
8.1 KiB
Python
"""
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Completion utilities for OAI server.
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Also serves as a common module for completions and chat completions.
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"""
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import asyncio
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import pathlib
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from asyncio import CancelledError
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from copy import deepcopy
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from fastapi import HTTPException, Request
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from typing import List, Union
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from loguru import logger
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from common import model
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from common.auth import get_key_permission
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from common.networking import (
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get_generator_error,
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handle_request_disconnect,
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handle_request_error,
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request_disconnect_loop,
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)
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from common.tabby_config import config
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from common.utils import unwrap
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from endpoints.OAI.types.completion import (
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CompletionRequest,
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CompletionResponse,
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CompletionRespChoice,
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CompletionLogProbs,
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)
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from endpoints.OAI.types.common import UsageStats
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def _create_response(
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request_id: str, generations: Union[dict, List[dict]], model_name: str = ""
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):
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"""Create a completion response from the provided choices."""
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# Convert the single choice object into a list
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if not isinstance(generations, list):
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generations = [generations]
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choices: List[CompletionRespChoice] = []
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for index, generation in enumerate(generations):
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logprob_response = None
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token_probs = unwrap(generation.get("token_probs"), {})
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if token_probs:
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logprobs = unwrap(generation.get("logprobs"), [])
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offset = unwrap(generation.get("offset"), [])
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logprob_response = CompletionLogProbs(
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text_offset=offset if isinstance(offset, list) else [offset],
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token_logprobs=token_probs.values(),
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tokens=token_probs.keys(),
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top_logprobs=logprobs if isinstance(logprobs, list) else [logprobs],
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)
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# The index can be located in the generation itself
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choice = CompletionRespChoice(
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index=unwrap(generation.get("index"), index),
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finish_reason=generation.get("finish_reason"),
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text=unwrap(generation.get("text"), ""),
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logprobs=logprob_response,
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)
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choices.append(choice)
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prompt_tokens = unwrap(generations[-1].get("prompt_tokens"), 0)
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completion_tokens = unwrap(generations[-1].get("generated_tokens"), 0)
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response = CompletionResponse(
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id=f"cmpl-{request_id}",
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choices=choices,
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model=model_name,
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usage=UsageStats(
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prompt_tokens=prompt_tokens,
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completion_tokens=completion_tokens,
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total_tokens=prompt_tokens + completion_tokens,
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),
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)
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return response
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async def _stream_collector(
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task_idx: int,
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gen_queue: asyncio.Queue,
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prompt: str,
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request_id: str,
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abort_event: asyncio.Event,
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**kwargs,
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):
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"""Collects a stream and places results in a common queue"""
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try:
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new_generation = model.container.generate_gen(
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prompt, request_id, abort_event, **kwargs
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)
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async for generation in new_generation:
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generation["index"] = task_idx
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await gen_queue.put(generation)
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if "finish_reason" in generation:
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break
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except Exception as e:
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await gen_queue.put(e)
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async def load_inline_model(model_name: str, request: Request):
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"""Load a model from the data.model parameter"""
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# Return if the model container already exists and the model is fully loaded
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if (
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model.container
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and model.container.model_dir.name == model_name
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and model.container.model_loaded
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):
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return
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# Inline model loading isn't enabled or the user isn't an admin
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if not get_key_permission(request) == "admin":
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error_message = handle_request_error(
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f"Unable to switch model to {model_name} because "
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+ "an admin key isn't provided",
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exc_info=False,
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).error.message
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raise HTTPException(401, error_message)
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if not unwrap(config.model.get("inline_model_loading"), False):
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logger.warning(
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f"Unable to switch model to {model_name} because "
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'"inline_model_loading" is not True in config.yml.'
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)
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return
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model_path = pathlib.Path(unwrap(config.model.get("model_dir"), "models"))
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model_path = model_path / model_name
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# Model path doesn't exist
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if not model_path.exists():
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logger.warning(
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f"Could not find model path {str(model_path)}. Skipping inline model load."
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)
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return
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# Load the model
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await model.load_model(model_path)
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async def stream_generate_completion(
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data: CompletionRequest, request: Request, model_path: pathlib.Path
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):
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"""Streaming generation for completions."""
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abort_event = asyncio.Event()
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gen_queue = asyncio.Queue()
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gen_tasks: List[asyncio.Task] = []
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disconnect_task = asyncio.create_task(request_disconnect_loop(request))
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try:
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logger.info(f"Received streaming completion request {request.state.id}")
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gen_params = data.to_gen_params()
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for n in range(0, data.n):
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if n > 0:
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task_gen_params = deepcopy(gen_params)
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else:
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task_gen_params = gen_params
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gen_task = asyncio.create_task(
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_stream_collector(
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n,
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gen_queue,
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data.prompt,
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request.state.id,
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abort_event,
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**task_gen_params,
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)
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)
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gen_tasks.append(gen_task)
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# Consumer loop
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while True:
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if disconnect_task.done():
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abort_event.set()
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handle_request_disconnect(
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f"Completion generation {request.state.id} cancelled by user."
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)
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generation = await gen_queue.get()
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# Stream collector will push an exception to the queue if it fails
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if isinstance(generation, Exception):
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raise generation
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response = _create_response(request.state.id, generation, model_path.name)
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yield response.model_dump_json()
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# Check if all tasks are completed
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if all(task.done() for task in gen_tasks) and gen_queue.empty():
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yield "[DONE]"
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logger.info(f"Finished streaming completion request {request.state.id}")
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break
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except CancelledError:
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# Get out if the request gets disconnected
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if not disconnect_task.done():
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abort_event.set()
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handle_request_disconnect(
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f"Completion generation {request.state.id} cancelled by user."
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)
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except Exception:
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yield get_generator_error(
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f"Completion {request.state.id} aborted. Please check the server console."
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)
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async def generate_completion(
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data: CompletionRequest, request: Request, model_path: pathlib.Path
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):
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"""Non-streaming generate for completions"""
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gen_tasks: List[asyncio.Task] = []
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gen_params = data.to_gen_params()
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try:
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logger.info(f"Recieved completion request {request.state.id}")
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for n in range(0, data.n):
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# Deepcopy gen params above the first index
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# to ensure nested structures aren't shared
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if n > 0:
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task_gen_params = deepcopy(gen_params)
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else:
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task_gen_params = gen_params
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gen_tasks.append(
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asyncio.create_task(
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model.container.generate(
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data.prompt, request.state.id, **task_gen_params
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)
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)
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)
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generations = await asyncio.gather(*gen_tasks)
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response = _create_response(request.state.id, generations, model_path.name)
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logger.info(f"Finished completion request {request.state.id}")
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return response
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except Exception as exc:
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error_message = handle_request_error(
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f"Completion {request.state.id} aborted. Maybe the model was unloaded? "
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"Please check the server console."
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).error.message
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# Server error if there's a generation exception
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raise HTTPException(503, error_message) from exc
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