"""
LangChain Integration

Integration with LangChain framework.
"""

import logging
from typing import Any, Optional

logger = logging.getLogger(__name__)


def setup_langchain_integration(memory_engine: Any):
    """
    Setup LangChain integration.
    
    Args:
        memory_engine: MemoryEngine instance
    """
    try:
        from langchain.callbacks.base import BaseCallbackHandler
        from langchain.schema import BaseMessage

        class MemorableCallbackHandler(BaseCallbackHandler):
            """LangChain callback handler for Memorable."""

            def __init__(self, memory_engine: Any):
                super().__init__()
                self.memory_engine = memory_engine

            def on_llm_end(self, response, **kwargs):
                """Called when LLM finishes."""
                # Extract messages and response
                # Store in memory
                pass

        logger.info("LangChain integration ready")
        return MemorableCallbackHandler(memory_engine)
    except ImportError:
        logger.warning("LangChain not available, integration skipped")
        return None

