import re
from typing import Any, List

from pydantic import Field

from llama_index.core import Document, Settings, VectorStoreIndex
from llama_index.core.embeddings import BaseEmbedding
from llama_index.core.llms import (
    CompletionResponse,
    CompletionResponseGen,
    CustomLLM,
    LLMMetadata,
)
from llama_index.core.llms.callbacks import llm_completion_callback
from llama_index.core.node_parser import SentenceSplitter


faq_documents = [
    Document(
        text=(
            "Question: How do I reset my password?\n"
            "Answer: Use the account recovery page to send a reset link to the "
            "verified email address on the account."
        ),
        metadata={"faq_id": "password-reset"},
    ),
    Document(
        text=(
            "Question: What is the refund window?\n"
            "Answer: Customers can request a refund within 30 days of cancellation "
            "from the billing portal."
        ),
        metadata={"faq_id": "refund-window"},
    ),
    Document(
        text=(
            "Question: How do I change my billing email?\n"
            "Answer: Open Billing, choose Payment details, and update the billing "
            "contact email before the next invoice."
        ),
        metadata={"faq_id": "billing-email"},
    ),
]