"""
Cloud agent (steps 3 + 7)  --  runs on Amazon Bedrock AgentCore Runtime.

It receives an ALREADY de-identified prompt from Fusion (contains a token like
CUST_000123, never a name), reasons with a Bedrock model, calls the RAG tool
through AgentCore Gateway (MCP), and returns de-identified talking points.
Fusion restores the real identity on the way back out -- not this agent.

Framework: Strands.  Deploy target: AgentCore Runtime (see scripts/agentcore_setup.py).
Pin versions in requirements.txt; SDK surfaces move quickly.
"""
import os
from bedrock_agentcore.runtime import BedrockAgentCoreApp
from strands import Agent
from strands.models import BedrockModel
from strands.tools.mcp import MCPClient
from mcp.client.streamable_http import streamablehttp_client

app = BedrockAgentCoreApp()

GATEWAY_URL = os.environ["AGENTCORE_GATEWAY_URL"]     # set by agentcore_setup.py
GATEWAY_TOKEN = os.environ.get("AGENTCORE_GATEWAY_TOKEN", "")
MODEL_ID = os.environ.get("BEDROCK_MODEL_ID", "anthropic.claude-3-5-sonnet-20241022-v2:0")

SYSTEM_PROMPT = (
    "You are a financial-advisor assistant. You will be given a customer reference "
    "that is an opaque TOKEN (e.g. CUST_000123). Treat it as an opaque identifier: "
    "never invent a name, and always pass the token verbatim to tools. Use the "
    "get_customer_activity_summary tool to fetch a de-identified evidence package, "
    "then produce concise, numbered visit talking points based only on that evidence. "
    "Do not include the raw token in your final talking points."
)


def _mcp_client():
    headers = {"Authorization": f"Bearer {GATEWAY_TOKEN}"} if GATEWAY_TOKEN else {}
    return MCPClient(lambda: streamablehttp_client(GATEWAY_URL, headers=headers))


@app.entrypoint
def invoke(payload):
    """payload == {'prompt': '<de-identified prompt from Fusion>'}"""
    prompt = payload.get("prompt", "")
    with _mcp_client() as client:
        agent = Agent(
            model=BedrockModel(model_id=MODEL_ID),
            system_prompt=SYSTEM_PROMPT,
            tools=client.list_tools_sync(),
        )
        result = agent(prompt)
    return {"result": str(result)}


if __name__ == "__main__":
    app.run()