"""
MCP Dummy DB Integration and Data Retrieval POC
Entry point for running the agentic workflow demo.
"""
import os
import sys
if sys.platform == "win32":
os.environ.setdefault("PYTHONIOENCODING", "utf-8")
from agents.orchestrator import AgentOrchestrator
def main() -> None:
llm_provider = os.getenv("MCP_LLM_PROVIDER", "mock")
model = os.getenv("MCP_LLM_MODEL", "tinyllama")
orchestrator = AgentOrchestrator(llm_provider=llm_provider, model=model)
print("MCP Dummy DB Integration POC")
print(f"LLM provider: {llm_provider} | model: {model}")
print("Type a question (or 'exit'):\n")
while True:
try:
query = input("> ").strip()
except (EOFError, KeyboardInterrupt):
print("\nBye.")
return
if not query:
continue
if query.lower() in {"exit", "quit"}:
print("Bye.")
return
result = orchestrator.process_query(query)
if result.get("status") == "success":
print(result.get("explanation", ""))
print()
else:
print(f"Error: {result.get('error', 'Unknown error')}")
print()
if __name__ == "__main__":
main()
