[{"toolSpec": {"name": "bankAgent","description": `Use this tool whenever the customer asks about their **bank account balance** or **bank statement**.                      It should be triggered for queries such as:                      - "What’s my balance?"                      - "How much money do I have in my account?"                      - "Can I see my latest bank statement?"                      - "Show me my account summary."`,            "inputSchema": {"json": JSON.stringify({"type": "object","properties": {"accountId": {"type": "string","description": "This is a user input. It is the bank account Id which is a numeric number."},                    "query": {"type": "string","description": "The inquiry to the bank agent such as check account balance, get statement etc."}},"required": [                    "accountId", "query"                ]                })}}}]

{  "event": {    "toolUse": {      "completionId": "UUID",      "content": "{\"accountId\":\"one two three four five\",\"query\":\"check account balance\"}",      "contentId": "UUID",      "promptName": "UUID",      "role": "TOOL",      "sessionId": "UUID",      "toolName": "bankAgent",      "toolUseId": "UUID"    }  }}

from strands import Agent, toolimport jsonfrom bedrock_agentcore.runtime import BedrockAgentCoreAppfrom strands.models import BedrockModelimport re, argparse
app = BedrockAgentCoreApp()
@tooldef get_account_balance(account_id) -> str:    """Get account balance for given account Id
    Args:        account_id: Bank account Id    """
    # The actual implementation will retrieve information from a database API or another backend service.        return {"result": result}
@tooldef get_statement(account_id: str, year_and_month: str) -> str:    """Get account statement for a given year and month    Args:        account_id: Bank account Id        year_and_month: Year and month of the bank statement. For example: 2025_08 or August 2025    """    # The actual implementation will retrieve information from a database API or another backend service.        return {"result": result}

# Specify Bedrock LLM for the Agentbedrock_model = BedrockModel(    model_id="amazon.nova-lite-v1:0",)# System promptsystem_prompt = '''You are a banking agent. You will receive requests that include:  - `account_id`  - `query` (the inquiry type, such as **balance** or **statement**, plus any additional details like month).  
## Instructions1. Use the provided `account_id` and `query` to call the tools.  2. The tool will return a JSON response.  3. Summarize the result in 2–3 sentences.     - For a **balance inquiry**, give the account balance with currency and date.     - For a **statement inquiry**, provide opening balance, closing balance, and number of transactions.  4. Do notreturn raw JSON. Always respond in natural language.  '''
# Create an agent with tools, LLM, and system promptagent = Agent(    tools=[ get_account_balance, get_statement],     model=bedrock_model,    system_prompt=system_prompt)
@app.entrypointdef banking_agent(payload):    response = agent(json.dumps(payload))    return response.message['content'][0]['text']    if __name__ == "__main__":    app.run()