"""React Agent - A simple LangChain ReAct agent for querying the podcast knowledge base.

This agent uses the tools (Chroma vector search, Neo4j knowledge graph) 
to answer questions about the Future of Education podcast episodes.

The agent includes conversation memory via a SQLite checkpointer
(`.checkpoints/react_agent.sqlite`, gitignored). Pass a thread_id in config
so the same conversation survives process restart:

    result = await react_agent.ainvoke(
        {"messages": [HumanMessage(content="...")]},
        config={"configurable": {"thread_id": "my-thread"}}
    )
"""

from src.react_agent.graph import get_react_agent
from src.react_agent.checkpointer import get_sqlite_checkpointer
from src.react_agent.configuration import Configuration
from src.react_agent.tools import (
    tools,
    search_knowledge_base,
    search_knowledge_base_structured,
    query_knowledge_graph,
    inspect_graph_schema,
)

__all__ = [
    "react_agent",
    "get_react_agent",
    "get_sqlite_checkpointer",
    "memory",
    "Configuration",
    "tools",
    "search_knowledge_base",
    "search_knowledge_base_structured",
    "query_knowledge_graph",
    "inspect_graph_schema",
]


def __getattr__(name: str):
    if name in ("react_agent", "memory"):
        from src.react_agent import graph as _graph

        return getattr(_graph, name)
    raise AttributeError(f"module {__name__!r} has no attribute {name!r}")