50 lines
1.7 KiB
Python
50 lines
1.7 KiB
Python
import os
|
|
import warnings
|
|
from typing import Literal, Optional
|
|
|
|
from openai import OpenAI
|
|
|
|
from mem0.configs.embeddings.base import BaseEmbedderConfig
|
|
from mem0.embeddings.base import EmbeddingBase
|
|
|
|
|
|
class OpenAIEmbedding(EmbeddingBase):
|
|
def __init__(self, config: Optional[BaseEmbedderConfig] = 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,
|
|
)
|
|
|
|
self.client = OpenAI(api_key=api_key, base_url=base_url)
|
|
|
|
def embed(self, text, memory_action: Optional[Literal["add", "search", "update"]] = 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
|
|
)
|