from llama_index.llms.gemini import Gemini
from llama_index.core import Settings
from llama_index.embeddings.huggingface import HuggingFaceEmbedding

MODEL_NAME = "models/gemini-2.5-pro"  # Google’s Gemini 2.5 Pro model

logger.info("Configuring LlamaIndex settings...")
Settings.embed_model = HuggingFaceEmbedding(model_name="BAAI/bge-small-en-v1.5")
Settings.llm = Gemini(model=MODEL_NAME)  # uses GOOGLE_API_KEY automatically
logger.info(f"Using Gemini LLM: {MODEL_NAME}")

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