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137 lines
3.9 KiB
Python
137 lines
3.9 KiB
Python
"""OpenAI client."""
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import logging
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import os
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from typing import Any, Callable, Dict, List, Optional, Tuple
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import openai
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from manifest.clients.client import Client
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logging.getLogger("openai").setLevel(logging.WARNING)
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logger = logging.getLogger(__name__)
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OPENAI_ENGINES = {
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"text-davinci-002",
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"text-davinci-001",
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"davinci",
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"text-curie-001",
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"text-babbage-001",
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"text-ada-001",
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"code-davinci-002",
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"code-cushman-001",
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}
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# User param -> (client param, default value)
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OPENAI_PARAMS = {
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"engine": ("engine", "text-davinci-002"),
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"temperature": ("temperature", 1.0),
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"max_tokens": ("max_tokens", 10),
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"n": ("n", 1),
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"top_p": ("top_p", 1.0),
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"logprobs": ("logprobs", None),
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"top_k_return": ("best_of", 1),
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"stop_sequence": ("stop", None), # OpenAI doesn't like empty lists
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"presence_penalty": ("presence_penalty", 0.0),
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"frequency_penalty": ("frequency_penalty", 0.0),
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}
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class OpenAIClient(Client):
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"""OpenAI client."""
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def connect(
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self,
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connection_str: Optional[str] = None,
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client_args: Dict[str, Any] = {},
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) -> None:
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"""
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Connect to the OpenAI server.
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connection_str is passed as default OPENAI_API_KEY if variable not set.
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Args:
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connection_str: connection string.
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client_args: client arguments.
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"""
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openai.api_key = os.environ.get("OPENAI_API_KEY", connection_str)
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if openai.api_key is None:
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raise ValueError(
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"OpenAI API key not set. Set OPENAI_API_KEY environment "
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"variable or pass through `connection_str`."
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)
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for key in OPENAI_PARAMS:
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setattr(self, key, client_args.pop(key, OPENAI_PARAMS[key][1]))
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if getattr(self, "engine") not in OPENAI_ENGINES:
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raise ValueError(
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f"Invalid engine {getattr(self, 'engine')}. Must be {OPENAI_ENGINES}."
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)
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def close(self) -> None:
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"""Close the client."""
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pass
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def get_model_params(self) -> Dict:
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"""
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Get model params.
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By getting model params from the server, we can add to request
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and make sure cache keys are unique to model.
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Returns:
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model params.
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"""
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return {"model_name": "openai", "engine": getattr(self, "engine")}
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def get_model_inputs(self) -> List:
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"""
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Get allowable model inputs.
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Returns:
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model inputs.
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"""
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return list(OPENAI_PARAMS.keys())
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def get_request(
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self, query: str, request_args: Dict[str, Any] = {}
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) -> Tuple[Callable[[], Dict], Dict]:
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"""
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Get request string function.
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Args:
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query: query string.
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Returns:
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request function that takes no input.
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request parameters as dict.
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"""
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request_params = {"prompt": query}
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for key in OPENAI_PARAMS:
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request_params[OPENAI_PARAMS[key][0]] = request_args.pop(
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key, getattr(self, key)
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)
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def _run_completion() -> Dict:
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try:
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return openai.Completion.create(**request_params)
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except openai.error.OpenAIError as e:
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logger.error(e)
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raise e
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return _run_completion, request_params
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def get_choice_logit_request(
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self, query: str, gold_choices: List[str], request_args: Dict[str, Any] = {}
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) -> Tuple[Callable[[], Dict], Dict]:
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"""
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Get request string function for choosing max choices.
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Args:
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query: query string.
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gold_choices: choices for model to choose from via max logits.
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Returns:
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request function that takes no input.
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request parameters as dict.
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"""
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raise NotImplementedError("OpenAI does not support choice logit request.")
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