Files
DB-GPT/pilot/model/llm/llm_utils.py
2023-09-01 10:40:18 +08:00

109 lines
3.3 KiB
Python

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import abc
import functools
import time
from typing import Optional
from pilot.configs.config import Config
from pilot.conversation import Conversation
# TODO Rewrite this
def retry_stream_api(
num_retries: int = 10, backoff_base: float = 2.0, warn_user: bool = True
):
"""Retry an Vicuna Server call.
Args:
num_retries int: Number of retries. Defaults to 10.
backoff_base float: Base for exponential backoff. Defaults to 2.
warn_user bool: Whether to warn the user. Defaults to True.
"""
retry_limit_msg = f"Error: Reached rate limit, passing..."
backoff_msg = f"Error: API Bad gateway. Waiting {{backoff}} seconds..."
def _wrapper(func):
@functools.wraps(func)
def _wrapped(*args, **kwargs):
user_warned = not warn_user
num_attempts = num_retries + 1 # +1 for the first attempt
for attempt in range(1, num_attempts + 1):
try:
return func(*args, **kwargs)
except Exception as e:
if (e.http_status != 502) or (attempt == num_attempts):
raise
backoff = backoff_base ** (attempt + 2)
time.sleep(backoff)
return _wrapped
return _wrapper
# Overly simple abstraction util we create something better
# simple retry mechanism when getting a rate error or a bad gateway
def create_chat_competion(
conv: Conversation,
model: Optional[str] = None,
temperature: float = None,
max_new_tokens: Optional[int] = None,
) -> str:
"""Create a chat completion using the Vicuna-13b
Args:
messages(List[Message]): The messages to send to the chat completion
model (str, optional): The model to use. Default to None.
temperature (float, optional): The temperature to use. Defaults to 0.7.
max_tokens (int, optional): The max tokens to use. Defaults to None.
Returns:
str: The response from the chat completion
"""
cfg = Config()
if temperature is None:
temperature = cfg.temperature
# TODO request vicuna model get response
# convert vicuna message to chat completion.
for plugin in cfg.plugins:
if plugin.can_handle_chat_completion():
pass
class ChatIO(abc.ABC):
@abc.abstractmethod
def prompt_for_input(self, role: str) -> str:
"""Prompt for input from a role."""
@abc.abstractmethod
def prompt_for_output(self, role: str) -> str:
"""Prompt for output from a role."""
@abc.abstractmethod
def stream_output(self, output_stream, skip_echo_len: int):
"""Stream output."""
class SimpleChatIO(ChatIO):
def prompt_for_input(self, role: str) -> str:
return input(f"{role}: ")
def prompt_for_output(self, role: str) -> str:
print(f"{role}: ", end="", flush=True)
def stream_output(self, output_stream, skip_echo_len: int):
pre = 0
for outputs in output_stream:
outputs = outputs[skip_echo_len:].strip()
now = len(outputs) - 1
if now > pre:
print(" ".join(outputs[pre:now]), end=" ", flush=True)
pre = now
print(" ".join(outputs[pre:]), flush=True)
return " ".join(outputs)