azure_openai.py•2.46 kB
import os
from typing import Literal
from azure.identity import DefaultAzureCredential, get_bearer_token_provider
from openai import AzureOpenAI
from selfmemory.configs.embeddings.base import BaseEmbedderConfig
from selfmemory.embeddings.base import EmbeddingBase
SCOPE = "https://cognitiveservices.azure.com/.default"
class AzureOpenAIEmbedding(EmbeddingBase):
def __init__(self, config: BaseEmbedderConfig | None = None):
super().__init__(config)
api_key = self.config.azure_kwargs.api_key or os.getenv(
"EMBEDDING_AZURE_OPENAI_API_KEY"
)
azure_deployment = self.config.azure_kwargs.azure_deployment or os.getenv(
"EMBEDDING_AZURE_DEPLOYMENT"
)
azure_endpoint = self.config.azure_kwargs.azure_endpoint or os.getenv(
"EMBEDDING_AZURE_ENDPOINT"
)
api_version = self.config.azure_kwargs.api_version or os.getenv(
"EMBEDDING_AZURE_API_VERSION"
)
default_headers = self.config.azure_kwargs.default_headers
# If the API key is not provided or is a placeholder, use DefaultAzureCredential.
if api_key is None or api_key == "" or api_key == "your-api-key":
self.credential = DefaultAzureCredential()
azure_ad_token_provider = get_bearer_token_provider(
self.credential,
SCOPE,
)
api_key = None
else:
azure_ad_token_provider = None
self.client = AzureOpenAI(
azure_deployment=azure_deployment,
azure_endpoint=azure_endpoint,
azure_ad_token_provider=azure_ad_token_provider,
api_version=api_version,
api_key=api_key,
http_client=self.config.http_client,
default_headers=default_headers,
)
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)
.data[0]
.embedding
)