openai.py•1.87 kB
import os
import warnings
from typing import Literal
from openai import OpenAI
from selfmemory.configs.embeddings.base import BaseEmbedderConfig
from selfmemory.embeddings.base import EmbeddingBase
class OpenAIEmbedding(EmbeddingBase):
def __init__(self, config: BaseEmbedderConfig | None = None):
super().__init__(config)
self.config.model = self.config.model or "text-embedding-3-small"
self.config.embedding_dims = self.config.embedding_dims or 1536
api_key = self.config.api_key or os.getenv("OPENAI_API_KEY")
base_url = (
self.config.openai_base_url
or os.getenv("OPENAI_API_BASE")
or os.getenv("OPENAI_BASE_URL")
or "https://api.openai.com/v1"
)
if os.environ.get("OPENAI_API_BASE"):
warnings.warn(
"The environment variable 'OPENAI_API_BASE' is deprecated and will be removed in the 0.1.80. "
"Please use 'OPENAI_BASE_URL' instead.",
DeprecationWarning,
stacklevel=2,
)
self.client = OpenAI(api_key=api_key, base_url=base_url)
def embed(
self, text, memory_action: Literal["add", "search", "update"] | None = None
):
"""
Get the embedding for the given text using OpenAI.
Args:
text (str): The text to embed.
memory_action (optional): The type of embedding to use. Must be one of "add", "search", or "update". Defaults to None.
Returns:
list: The embedding vector.
"""
text = text.replace("\n", " ")
return (
self.client.embeddings.create(
input=[text],
model=self.config.model,
dimensions=self.config.embedding_dims,
)
.data[0]
.embedding
)