战舰AI助手核心技术解析：从入门到面试备考（2026年4月9日）

 传统方式：硬编码 + 多步骤手动调用
def warship_assistant_legacy(user_query):
     1. 意图识别（if-else地狱）
    if "天气" in user_query:
        return call_weather_api()
    elif "敌舰" in user_query:
        data = call_sensor_api()
        report = manual_analyze(data)   需要人写分析逻辑
        return report
    elif "决策建议" in user_query:
         需要硬编码所有决策分支
        return decision_tree_analysis()
    else:
        return "我不理解你的问题"

 RAG的核心流程
def rag_flow(question):
     1. 向量化检索
    docs = vector_db.search(embed(question), top_k=5)
     2. 拼接上下文
    context = "\n".join(docs)
     3. 增强生成
    prompt = f"参考以下信息回答问题：\n{context}\n问题：{question}"
    return llm.generate(prompt)

 -- coding: utf-8 --
 战舰AI助手 - 基于OpenAI Responses API的最小实现
 需安装：pip install openai

import json
from openai import OpenAI

client = OpenAI()

 定义可用的“工具”（Agent的手）
TOOLS = [
    {
        "type": "function",
        "function": {
            "name": "get_ship_status",
            "description": "查询指定战舰的实时状态",
            "parameters": {
                "type": "object",
                "properties": {
                    "ship_name": {"type": "string", "description": "战舰名称"}
                },
                "required": ["ship_name"]
            }
        }
    },
    {
        "type": "function",
        "function": {
            "name": "analyze_threat",
            "description": "分析指定海域的威胁等级",
            "parameters": {
                "type": "object",
                "properties": {
                    "area": {"type": "string", "description": "海域名称"},
                    "radius_km": {"type": "integer", "description": "半径(公里)"}
                },
                "required": ["area"]
            }
        }
    }
]

 模拟的工具实现
def execute_tool(tool_name, arguments):
    if tool_name == "get_ship_status":
        return {"status": "正常巡航", "position": "东经125°30‘, 北纬25°10’", "speed": "18节"}
    elif tool_name == "analyze_threat":
        area = arguments.get("area", "")
        return {"threat_level": "中", "detected_ships": 3, "recommendation": "建议保持警戒巡航"}
    return {"error": "未知工具"}

def warship_agent(user_query):
    """战舰AI助手主函数"""
    
     1. 调用LLM，让其决定是否需要调用工具
    response = client.responses.create(
        model="gpt-4o",
        input=[{"role": "user", "content": user_query}],
        tools=TOOLS,
        tool_choice="auto"   让模型自主决定
    )
    
     2. 处理工具调用（Agent的执行循环）
    for tool_call in response.output:
        if tool_call.type == "function_call":
             执行工具并获取结果
            result = execute_tool(
                tool_call.name,
                json.loads(tool_call.arguments)
            )
             3. 将工具结果返回LLM，生成最终答案
            final_response = client.responses.create(
                model="gpt-4o",
                input=[{"role": "user", "content": user_query}],
                tools=TOOLS,
                previous_response_id=response.id   维持对话上下文
            )
            return final_response.output_text
    
    return response.output_text

 测试运行
if __name__ == "__main__":
    query = "帮我查一下‘辽宁舰’的实时状态，并分析东海的威胁情况"
    result = warship_agent(query)
    print("AI助手回答：", result)