import os
import google.generativeai as genai
from llama_index.embeddings.openai import OpenAIEmbedding


from llama_index.core import (
    StorageContext,
    ServiceContext,
    VectorStoreIndex,
    Settings,
    load_index_from_storage
)

from dotenv import load_dotenv

load_dotenv()

aws_access_key_id = os.getenv("AWS_ACCESS_KEY_ID")
aws_secret_access_key = os.getenv("AWS_SECRET_ACCESS_KEY")
openai_api_key = os.getenv("OPENAI_API_KEY")
anthropic_api_key=os.getenv("ANTHROPIC_API_KEY")
genai.configure(api_key=os.environ["GOOGLE_API_KEY"])


embed_model = OpenAIEmbedding(model_name="text-embedding-3-small")
Settings.embed_model = embed_model
Settings.context_window = 20000
Settings.chunk_size = 2048
Settings.similarity_top_k = 20