免手操理赔报案：用 Strands Agents 与 Bedrock AgentCore Browser Tool 搭建智能 FNOL 流程

pip install strands-agents boto3

import json
from strands import Agent, tool

# --------------------------------------------------
# 1. 定义领域推理工具：从客户陈述提取结构化字段
# --------------------------------------------------
@tool(
    name="extract_fnol_fields",
    description="从客户事故陈述中提取 FNOL 所需的结构化字段"
)
def extract_fnol_fields(customer_statement: str) -> dict:
    """
    实际生产中这里会调用 LLM 做提取；
    示例中用硬编码模拟返回结构，方便你直接运行测试。
    """
    # 模拟提取结果——替换为 Bedrock 模型调用即可
    extracted = {
        "incident_date": "2025-06-18",
        "incident_location": "上海市浦东新区世纪大道100号",
        "loss_type": "collision",
        "vehicle_make": "Toyota",
        "vehicle_model": "Camry",
        "vehicle_year": "2023",
        "policy_number": "POL-2023-88412",
        "claimant_name": "张伟",
        "contact_phone": "138-0000-1234",
        "requires_human_review": False  # Agent 判断是否需要人工复核
    }
    return extracted


# --------------------------------------------------
# 2. 定义浏览器操作工具：调用 Bedrock AgentCore Browser Tool
# --------------------------------------------------
@tool(
    name="browser_submit_fnol",
    description="通过浏览器工具在理赔门户中提交 FNOL 表单"
)
def browser_submit_fnol(fields: dict) -> dict:
    """
    生产环境中调用 Bedrock AgentCore Browser Tool 的 API；
    示例中用 boto3 模拟请求结构，展示调用模式。
    """
    import boto3

    client = boto3.client("bedrock-agentcore", region_name="us-east-1")

    # 构造浏览器操作指令序列
    browser_instructions = [
        {"action": "navigate", "url": "https://claims-portal.example.com/new-claim"},
        {"action": "fill", "selector": "#policy_number", "value": fields["policy_number"]},
        {"action": "fill", "selector": "#claimant_name", "value": fields["claimant_name"]},
        {"action": "fill", "selector": "#incident_date", "value": fields["incident_date"]},
        {"action": "fill", "selector": "#loss_type", "value": fields["loss_type"]},
        {"action": "fill", "selector": "#location", "value": fields["incident_location"]},
        {"action": "click", "selector": "#submit_btn"},
        {"action": "extract", "selector": "#claim_id_label"}
    ]

    # 调用 Browser Tool 执行操作序列
    response = client.invoke_browser_tool(
        browserToolId="fnol-claims-portal",  # 预注册的浏览器工具标识
        instructions=json.dumps(browser_instructions),
        sessionId="fnol-session-001"
    )

    # 返回门户响应（含报案号等）
    result = json.loads(response["executionResult"])
    return result


# --------------------------------------------------
# 3. 组装 Agent
# --------------------------------------------------
fnol_agent = Agent(
    model="us.anthropic.claude-3-5-sonnet-20241022-v2:0",
    tools=[extract_fnol_fields, browser_submit_fnol],
    system_prompt=(
        "你是保险理赔 FNOL 报案助手。"
        "工作流程："
        "1. 收到客户事故陈述后，调用 extract_fnol_fields 提取结构化字段。"
        "2. 如果 requires_human_review 为 True，先向用户请求确认再继续。"
        "3. 确认无误后，调用 browser_submit_fnol 在门户中提交表单。"
        "4. 向用户报告报案号和下一步指引。"
        "始终保持专业、简洁，不编造保单条款。"
    )
)

# --------------------------------------------------
# 4. 运行
# --------------------------------------------------
if __name__ == "__main__":
    customer_input = (
        "我今天早上8点在浦东世纪大道100号出了碰撞事故，"
        "我的车是2023款丰田凯美瑞，保单号POL-2023-88412，"
        "我叫张伟，电话138-0000-1234。"
    )

    result = fnol_agent(customer_input)
    print(result)