clients/tiny_agent.py

#!/usr/bin/env python3
import os
from smolagents import InferenceClientModel, CodeAgent
from smolagents.mcp_client import MCPClient

def main():
    # 1) Point at your local MVP server
    url = os.getenv("MCP_URL", "http://localhost:7860/gradio_api/mcp/sse")
    mcp = MCPClient({"url": url})
    tools = mcp.get_tools()             # discover available tools (e.g. sentiment)

    # 2) Wire up an LLM + those tools
    model = InferenceClientModel()      # default = OpenAI
    agent = CodeAgent(tools=tools, model=model)

    print("✅ Tiny agent ready!  Type your query (or Ctrl-C to quit).")
    try:
        while True:
            user = input("User> ")
            # 3) Let the agent decide whether to call sentiment() or answer directly
            answer = agent.run(user)
            print("Agent>", answer)
    finally:
        mcp.disconnect()  # clean up the SSE connection

if __name__ == "__main__":
    main()