LangBot API设计与使用指南

摘要

API（Application Programming Interface）是现代软件系统的重要组成部分，它为不同系统之间的交互提供了标准化的接口。LangBot作为一个功能丰富的聊天机器人平台，提供了完善的RESTful API，允许开发者通过编程方式管理机器人、模型、插件等资源。本文将深入探讨LangBot API的设计理念、架构模式、核心接口以及使用方法，帮助开发者更好地理解和使用LangBot的API功能。

正文

1. API设计概述

LangBot的API设计遵循RESTful架构原则，具有以下特点：

• RESTful设计：采用资源导向的API设计，使用标准HTTP方法操作资源
• JSON格式：请求和响应数据均使用JSON格式，便于解析和处理
• 认证授权：基于JWT的认证机制，确保API访问安全
• 版本管理：支持API版本管理，保证向后兼容性
• 错误处理：统一的错误响应格式，便于客户端处理
• 文档完善：提供详细的API文档和示例

2. 系统架构

LangBot API系统的架构如下图所示：

3. API设计原则

3.1 RESTful资源设计

# 资源URL设计示例
GET    /api/v1/bots           # 获取机器人列表
POST   /api/v1/bots           # 创建新机器人
GET    /api/v1/bots/{uuid}    # 获取指定机器人
PUT    /api/v1/bots/{uuid}    # 更新指定机器人
DELETE /api/v1/bots/{uuid}    # 删除指定机器人

GET    /api/v1/models/llm     # 获取LLM模型列表
POST   /api/v1/models/llm     # 创建新LLM模型
GET    /api/v1/models/llm/{uuid}  # 获取指定LLM模型
PUT    /api/v1/models/llm/{uuid}  # 更新指定LLM模型
DELETE /api/v1/models/llm/{uuid}  # 删除指定LLM模型

GET    /api/v1/plugins        # 获取插件列表
POST   /api/v1/plugins        # 安装新插件
GET    /api/v1/plugins/{author}/{name}  # 获取指定插件
PUT    /api/v1/plugins/{author}/{name}  # 配置指定插件
DELETE /api/v1/plugins/{author}/{name}  # 卸载指定插件

3.2 HTTP状态码规范

# HTTP状态码使用规范
class HTTPStatusCodes:
    # 成功响应
    OK = 200          # 成功获取资源
    CREATED = 201     # 成功创建资源
    ACCEPTED = 202    # 请求已接受，正在处理
    NO_CONTENT = 204  # 成功处理，无返回内容
    
    # 客户端错误
    BAD_REQUEST = 400      # 请求参数错误
    UNAUTHORIZED = 401     # 未认证
    FORBIDDEN = 403        # 权限不足
    NOT_FOUND = 404        # 资源不存在
    METHOD_NOT_ALLOWED = 405  # HTTP方法不允许
    CONFLICT = 409         # 资源冲突
    
    # 服务端错误
    INTERNAL_SERVER_ERROR = 500  # 服务器内部错误
    NOT_IMPLEMENTED = 501        # 功能未实现
    SERVICE_UNAVAILABLE = 503    # 服务不可用

3.3 统一响应格式

# 统一响应格式
class APIResponse:
    def __init__(self, success: bool, data=None, message: str = "", code: int = 200):
        self.success = success
        self.data = data
        self.message = message
        self.code = code
    
    def to_dict(self):
        return {
            "success": self.success,
            "data": self.data,
            "message": self.message,
            "code": self.code
        }

# 成功响应示例
{
    "success": true,
    "data": {
        "uuid": "123e4567-e89b-12d3-a456-426614174000",
        "name": "我的机器人",
        "platform": "discord",
        "status": "active"
    },
    "message": "操作成功",
    "code": 200
}

# 错误响应示例
{
    "success": false,
    "data": null,
    "message": "机器人不存在",
    "code": 404
}

4. 核心API接口

4.1 认证API

# 认证相关API
class AuthAPI:
    """认证API"""
    
    @staticmethod
    async def login(email: str, password: str) -> dict:
        """
        用户登录
        
        Args:
            email: 用户邮箱
            password: 用户密码
            
        Returns:
            登录响应
        """
        # 请求示例
        # POST /api/v1/auth/login
        # {
        #   "email": "user@example.com",
        #   "password": "password123"
        # }
        
        # 响应示例
        # {
        #   "success": true,
        #   "data": {
        #     "access_token": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9...",
        #     "token_type": "bearer",
        #     "expires_in": 3600
        #   },
        #   "message": "登录成功",
        #   "code": 200
        # }
        pass
    
    @staticmethod
    async def refresh_token(refresh_token: str) -> dict:
        """
        刷新访问令牌
        
        Args:
            refresh_token: 刷新令牌
            
        Returns:
            刷新响应
        """
        # 请求示例
        # POST /api/v1/auth/refresh
        # {
        #   "refresh_token": "refresh_token_string"
        # }
        pass

# 使用示例
import requests

class APIClient:
    def __init__(self, base_url: str):
        self.base_url = base_url
        self.access_token = None
    
    def login(self, email: str, password: str):
        """登录获取访问令牌"""
        response = requests.post(
            f"{self.base_url}/api/v1/auth/login",
            json={"email": email, "password": password}
        )
        
        if response.status_code == 200:
            data = response.json()
            self.access_token = data["data"]["access_token"]
            return data
        else:
            raise Exception(f"登录失败: {response.text}")
    
    def _make_request(self, method: str, endpoint: str, **kwargs):
        """发起认证请求"""
        headers = kwargs.get("headers", {})
        if self.access_token:
            headers["Authorization"] = f"Bearer {self.access_token}"
        kwargs["headers"] = headers
        
        response = requests.request(method, f"{self.base_url}{endpoint}", **kwargs)
        return response

4.2 机器人管理API

# 机器人管理API
class BotAPI:
    """机器人管理API"""
    
    def __init__(self, client: APIClient):
        self.client = client
    
    async def list_bots(self, page: int = 1, size: int = 10) -> dict:
        """
        获取机器人列表
        
        Args:
            page: 页码
            size: 每页大小
            
        Returns:
            机器人列表
        """
        # GET /api/v1/bots?page=1&size=10
        response = self.client._make_request(
            "GET", 
            f"/api/v1/bots?page={page}&size={size}"
        )
        return response.json()
    
    async def create_bot(self, bot_data: dict) -> dict:
        """
        创建机器人
        
        Args:
            bot_data: 机器人数据
            
        Returns:
            创建的机器人
        """
        # POST /api/v1/bots
        response = self.client._make_request(
            "POST",
            "/api/v1/bots",
            json=bot_data
        )
        return response.json()
    
    async def get_bot(self, bot_uuid: str) -> dict:
        """
        获取机器人详情
        
        Args:
            bot_uuid: 机器人UUID
            
        Returns:
            机器人详情
        """
        # GET /api/v1/bots/{uuid}
        response = self.client._make_request(
            "GET",
            f"/api/v1/bots/{bot_uuid}"
        )
        return response.json()
    
    async def update_bot(self, bot_uuid: str, bot_data: dict) -> dict:
        """
        更新机器人
        
        Args:
            bot_uuid: 机器人UUID
            bot_data: 更新的机器人数据
            
        Returns:
            更新后的机器人
        """
        # PUT /api/v1/bots/{uuid}
        response = self.client._make_request(
            "PUT",
            f"/api/v1/bots/{bot_uuid}",
            json=bot_data
        )
        return response.json()
    
    async def delete_bot(self, bot_uuid: str) -> dict:
        """
        删除机器人
        
        Args:
            bot_uuid: 机器人UUID
            
        Returns:
            删除结果
        """
        # DELETE /api/v1/bots/{uuid}
        response = self.client._make_request(
            "DELETE",
            f"/api/v1/bots/{bot_uuid}"
        )
        return response.json()
    
    async def test_bot_connection(self, bot_uuid: str) -> dict:
        """
        测试机器人连接
        
        Args:
            bot_uuid: 机器人UUID
            
        Returns:
            测试结果
        """
        # POST /api/v1/bots/{uuid}/test
        response = self.client._make_request(
            "POST",
            f"/api/v1/bots/{bot_uuid}/test"
        )
        return response.json()

# 使用示例
async def bot_management_example():
    """机器人管理示例"""
    client = APIClient("http://localhost:5300")
    client.login("admin@example.com", "password123")
    
    bot_api = BotAPI(client)
    
    # 创建机器人
    bot_data = {
        "name": "Discord机器人",
        "platform": "discord",
        "config": {
            "token": "your-discord-bot-token"
        }
    }
    
    try:
        result = await bot_api.create_bot(bot_data)
        if result["success"]:
            bot_uuid = result["data"]["uuid"]
            print(f"机器人创建成功: {bot_uuid}")
            
            # 测试连接
            test_result = await bot_api.test_bot_connection(bot_uuid)
            if test_result["success"]:
                print("机器人连接测试成功")
            else:
                print(f"连接测试失败: {test_result['message']}")
        else:
            print(f"创建机器人失败: {result['message']}")
    except Exception as e:
        print(f"操作失败: {e}")

4.3 模型管理API

# 模型管理API
class ModelAPI:
    """模型管理API"""
    
    def __init__(self, client: APIClient):
        self.client = client
    
    async def list_llm_models(self, page: int = 1, size: int = 10) -> dict:
        """
        获取LLM模型列表
        
        Args:
            page: 页码
            size: 每页大小
            
        Returns:
            LLM模型列表
        """
        # GET /api/v1/models/llm?page=1&size=10
        response = self.client._make_request(
            "GET",
            f"/api/v1/models/llm?page={page}&size={size}"
        )
        return response.json()
    
    async def create_llm_model(self, model_data: dict) -> dict:
        """
        创建LLM模型
        
        Args:
            model_data: 模型数据
            
        Returns:
            创建的模型
        """
        # POST /api/v1/models/llm
        response = self.client._make_request(
            "POST",
            "/api/v1/models/llm",
            json=model_data
        )
        return response.json()
    
    async def get_llm_model(self, model_uuid: str) -> dict:
        """
        获取LLM模型详情
        
        Args:
            model_uuid: 模型UUID
            
        Returns:
            模型详情
        """
        # GET /api/v1/models/llm/{uuid}
        response = self.client._make_request(
            "GET",
            f"/api/v1/models/llm/{model_uuid}"
        )
        return response.json()
    
    async def update_llm_model(self, model_uuid: str, model_data: dict) -> dict:
        """
        更新LLM模型
        
        Args:
            model_uuid: 模型UUID
            model_data: 更新的模型数据
            
        Returns:
            更新后的模型
        """
        # PUT /api/v1/models/llm/{uuid}
        response = self.client._make_request(
            "PUT",
            f"/api/v1/models/llm/{model_uuid}",
            json=model_data
        )
        return response.json()
    
    async def delete_llm_model(self, model_uuid: str) -> dict:
        """
        删除LLM模型
        
        Args:
            model_uuid: 模型UUID
            
        Returns:
            删除结果
        """
        # DELETE /api/v1/models/llm/{uuid}
        response = self.client._make_request(
            "DELETE",
            f"/api/v1/models/llm/{model_uuid}"
        )
        return response.json()
    
    async def test_llm_model(self, model_uuid: str) -> dict:
        """
        测试LLM模型连接
        
        Args:
            model_uuid: 模型UUID
            
        Returns:
            测试结果
        """
        # POST /api/v1/models/llm/{uuid}/test
        response = self.client._make_request(
            "POST",
            f"/api/v1/models/llm/{model_uuid}/test"
        )
        return response.json()

# 使用示例
async def model_management_example():
    """模型管理示例"""
    client = APIClient("http://localhost:5300")
    client.login("admin@example.com", "password123")
    
    model_api = ModelAPI(client)
    
    # 创建OpenAI模型
    model_data = {
        "name": "GPT-4 Turbo",
        "provider": "openai",
        "model_name": "gpt-4-1106-preview",
        "config": {
            "api_key": "sk-your-openai-api-key",
            "base_url": "https://api.openai.com/v1"
        }
    }
    
    try:
        result = await model_api.create_llm_model(model_data)
        if result["success"]:
            model_uuid = result["data"]["uuid"]
            print(f"模型创建成功: {model_uuid}")
            
            # 测试连接
            test_result = await model_api.test_llm_model(model_uuid)
            if test_result["success"]:
                print("模型连接测试成功")
            else:
                print(f"连接测试失败: {test_result['message']}")
        else:
            print(f"创建模型失败: {result['message']}")
    except Exception as e:
        print(f"操作失败: {e}")

5. API使用示例

5.1 Python客户端示例

# 完整的Python客户端示例
import requests
import json
from typing import Optional, Dict, Any

class LangBotClient:
    """LangBot API客户端"""
    
    def __init__(self, base_url: str, api_version: str = "v1"):
        self.base_url = base_url.rstrip('/')
        self.api_version = api_version
        self.access_token: Optional[str] = None
        self.session = requests.Session()
    
    def login(self, email: str, password: str) -> bool:
        """
        登录获取访问令牌
        
        Args:
            email: 用户邮箱
            password: 用户密码
            
        Returns:
            是否登录成功
        """
        url = f"{self.base_url}/api/{self.api_version}/auth/login"
        data = {"email": email, "password": password}
        
        try:
            response = self.session.post(url, json=data)
            response.raise_for_status()
            
            result = response.json()
            if result.get("success"):
                self.access_token = result["data"]["access_token"]
                self.session.headers.update({
                    "Authorization": f"Bearer {self.access_token}"
                })
                return True
            else:
                raise Exception(result.get("message", "登录失败"))
        except requests.RequestException as e:
            raise Exception(f"网络请求失败: {e}")
    
    def _make_request(self, method: str, endpoint: str, **kwargs) -> Dict[Any, Any]:
        """
        发起API请求
        
        Args:
            method: HTTP方法
            endpoint: API端点
            **kwargs: 其他参数
            
        Returns:
            API响应
        """
        url = f"{self.base_url}/api/{self.api_version}{endpoint}"
        
        try:
            response = self.session.request(method, url, **kwargs)
            response.raise_for_status()
            return response.json()
        except requests.RequestException as e:
            raise Exception(f"API请求失败: {e}")
    
    # 机器人相关方法
    def list_bots(self, page: int = 1, size: int = 10) -> Dict[Any, Any]:
        """获取机器人列表"""
        return self._make_request("GET", f"/bots?page={page}&size={size}")
    
    def create_bot(self, bot_data: Dict[Any, Any]) -> Dict[Any, Any]:
        """创建机器人"""
        return self._make_request("POST", "/bots", json=bot_data)
    
    def get_bot(self, bot_uuid: str) -> Dict[Any, Any]:
        """获取机器人详情"""
        return self._make_request("GET", f"/bots/{bot_uuid}")
    
    def update_bot(self, bot_uuid: str, bot_data: Dict[Any, Any]) -> Dict[Any, Any]:
        """更新机器人"""
        return self._make_request("PUT", f"/bots/{bot_uuid}", json=bot_data)
    
    def delete_bot(self, bot_uuid: str) -> Dict[Any, Any]:
        """删除机器人"""
        return self._make_request("DELETE", f"/bots/{bot_uuid}")
    
    def test_bot(self, bot_uuid: str) -> Dict[Any, Any]:
        """测试机器人连接"""
        return self._make_request("POST", f"/bots/{bot_uuid}/test")
    
    # 模型相关方法
    def list_models(self, page: int = 1, size: int = 10) -> Dict[Any, Any]:
        """获取模型列表"""
        return self._make_request("GET", f"/models/llm?page={page}&size={size}")
    
    def create_model(self, model_data: Dict[Any, Any]) -> Dict[Any, Any]:
        """创建模型"""
        return self._make_request("POST", "/models/llm", json=model_data)
    
    def get_model(self, model_uuid: str) -> Dict[Any, Any]:
        """获取模型详情"""
        return self._make_request("GET", f"/models/llm/{model_uuid}")
    
    def update_model(self, model_uuid: str, model_data: Dict[Any, Any]) -> Dict[Any, Any]:
        """更新模型"""
        return self._make_request("PUT", f"/models/llm/{model_uuid}", json=model_data)
    
    def delete_model(self, model_uuid: str) -> Dict[Any, Any]:
        """删除模型"""
        return self._make_request("DELETE", f"/models/llm/{model_uuid}")
    
    def test_model(self, model_uuid: str) -> Dict[Any, Any]:
        """测试模型连接"""
        return self._make_request("POST", f"/models/llm/{model_uuid}/test")

# 使用示例
def main():
    """主函数示例"""
    # 创建客户端
    client = LangBotClient("http://localhost:5300")
    
    try:
        # 登录
        if client.login("admin@example.com", "password123"):
            print("登录成功")
            
            # 创建机器人
            bot_data = {
                "name": "测试机器人",
                "platform": "discord",
                "config": {
                    "token": "your-bot-token"
                }
            }
            
            result = client.create_bot(bot_data)
            if result["success"]:
                bot_uuid = result["data"]["uuid"]
                print(f"机器人创建成功: {bot_uuid}")
                
                # 测试机器人连接
                test_result = client.test_bot(bot_uuid)
                if test_result["success"]:
                    print("机器人连接测试成功")
                else:
                    print(f"连接测试失败: {test_result['message']}")
                
                # 获取机器人列表
                bots = client.list_bots()
                print(f"机器人总数: {len(bots['data'])}")
                
                # 删除机器人
                delete_result = client.delete_bot(bot_uuid)
                if delete_result["success"]:
                    print("机器人删除成功")
                else:
                    print(f"删除失败: {delete_result['message']}")
            else:
                print(f"创建机器人失败: {result['message']}")
        else:
            print("登录失败")
    except Exception as e:
        print(f"操作出错: {e}")

if __name__ == "__main__":
    main()

5.2 JavaScript客户端示例

// JavaScript客户端示例
class LangBotClient {
    constructor(baseUrl, apiVersion = 'v1') {
        this.baseUrl = baseUrl.replace(/\/$/, '');
        this.apiVersion = apiVersion;
        this.accessToken = null;
    }
    
    async login(email, password) {
        const url = `${this.baseUrl}/api/${this.apiVersion}/auth/login`;
        const data = { email, password };
        
        try {
            const response = await fetch(url, {
                method: 'POST',
                headers: {
                    'Content-Type': 'application/json'
                },
                body: JSON.stringify(data)
            });
            
            const result = await response.json();
            if (result.success) {
                this.accessToken = result.data.access_token;
                return true;
            } else {
                throw new Error(result.message || '登录失败');
            }
        } catch (error) {
            throw new Error(`网络请求失败: ${error.message}`);
        }
    }
    
    async _makeRequest(method, endpoint, data = null) {
        const url = `${this.baseUrl}/api/${this.apiVersion}${endpoint}`;
        const headers = {
            'Content-Type': 'application/json'
        };
        
        if (this.accessToken) {
            headers['Authorization'] = `Bearer ${this.accessToken}`;
        }
        
        const options = {
            method,
            headers
        };
        
        if (data) {
            options.body = JSON.stringify(data);
        }
        
        try {
            const response = await fetch(url, options);
            if (!response.ok) {
                throw new Error(`HTTP ${response.status}: ${response.statusText}`);
            }
            return await response.json();
        } catch (error) {
            throw new Error(`API请求失败: ${error.message}`);
        }
    }
    
    // 机器人相关方法
    async listBots(page = 1, size = 10) {
        return await this._makeRequest('GET', `/bots?page=${page}&size=${size}`);
    }
    
    async createBot(botData) {
        return await this._makeRequest('POST', '/bots', botData);
    }
    
    async getBot(botUuid) {
        return await this._makeRequest('GET', `/bots/${botUuid}`);
    }
    
    async updateBot(botUuid, botData) {
        return await this._makeRequest('PUT', `/bots/${botUuid}`, botData);
    }
    
    async deleteBot(botUuid) {
        return await this._makeRequest('DELETE', `/bots/${botUuid}`);
    }
    
    async testBot(botUuid) {
        return await this._makeRequest('POST', `/bots/${botUuid}/test`);
    }
}

// 使用示例
async function main() {
    const client = new LangBotClient('http://localhost:5300');
    
    try {
        // 登录
        if (await client.login('admin@example.com', 'password123')) {
            console.log('登录成功');
            
            // 创建机器人
            const botData = {
                name: '测试机器人',
                platform: 'discord',
                config: {
                    token: 'your-bot-token'
                }
            };
            
            const result = await client.createBot(botData);
            if (result.success) {
                const botUuid = result.data.uuid;
                console.log(`机器人创建成功: ${botUuid}`);
                
                // 测试机器人连接
                const testResult = await client.testBot(botUuid);
                if (testResult.success) {
                    console.log('机器人连接测试成功');
                } else {
                    console.log(`连接测试失败: ${testResult.message}`);
                }
                
                // 获取机器人列表
                const bots = await client.listBots();
                console.log(`机器人总数: ${bots.data.length}`);
                
                // 删除机器人
                const deleteResult = await client.deleteBot(botUuid);
                if (deleteResult.success) {
                    console.log('机器人删除成功');
                } else {
                    console.log(`删除失败: ${deleteResult.message}`);
                }
            } else {
                console.log(`创建机器人失败: ${result.message}`);
            }
        } else {
            console.log('登录失败');
        }
    } catch (error) {
        console.error(`操作出错: ${error.message}`);
    }
}

// 运行示例
main();

6. 错误处理和调试

6.1 错误处理策略

# 统一错误处理
class APIError(Exception):
    """API错误基类"""
    def __init__(self, message: str, code: int = 500, details: dict = None):
        self.message = message
        self.code = code
        self.details = details or {}
        super().__init__(self.message)

class ValidationError(APIError):
    """验证错误"""
    def __init__(self, message: str, details: dict = None):
        super().__init__(message, 400, details)

class AuthenticationError(APIError):
    """认证错误"""
    def __init__(self, message: str):
        super().__init__(message, 401)

class AuthorizationError(APIError):
    """授权错误"""
    def __init__(self, message: str):
        super().__init__(message, 403)

class NotFoundError(APIError):
    """资源未找到错误"""
    def __init__(self, message: str):
        super().__init__(message, 404)

# 客户端错误处理
class RobustLangBotClient(LangBotClient):
    """具有错误处理能力的客户端"""
    
    async def _make_request(self, method, endpoint, data=None):
        try:
            return await super()._make_request(method, endpoint, data)
        except APIError:
            raise
        except Exception as e:
            # 记录详细错误信息
            error_info = {
                "method": method,
                "endpoint": endpoint,
                "error": str(e),
                "timestamp": datetime.now().isoformat()
            }
            print(f"API请求错误: {json.dumps(error_info, ensure_ascii=False)}")
            raise APIError(f"请求失败: {e}")

6.2 调试和日志

# 调试功能
import logging

class DebugLangBotClient(LangBotClient):
    """具有调试功能的客户端"""
    
    def __init__(self, base_url, api_version="v1", debug=False):
        super().__init__(base_url, api_version)
        self.debug = debug
        if debug:
            logging.basicConfig(level=logging.DEBUG)
            self.logger = logging.getLogger(__name__)
    
    async def _make_request(self, method, endpoint, data=None):
        if self.debug:
            self.logger.debug(f"API请求: {method} {endpoint}")
            if data:
                self.logger.debug(f"请求数据: {json.dumps(data, ensure_ascii=False)}")
        
        start_time = time.time()
        result = await super()._make_request(method, endpoint, data)
        end_time = time.time()
        
        if self.debug:
            self.logger.debug(f"响应数据: {json.dumps(result, ensure_ascii=False)}")
            self.logger.debug(f"请求耗时: {(end_time - start_time) * 1000:.2f}ms")
        
        return result

7. API安全最佳实践

7.1 认证和授权

# 安全的API调用示例
class SecureLangBotClient(LangBotClient):
    """安全的API客户端"""
    
    def __init__(self, base_url, api_version="v1"):
        super().__init__(base_url, api_version)
        self.refresh_token = None
        self.token_expires_at = None
    
    def login(self, email, password):
        """安全登录"""
        url = f"{self.base_url}/api/{self.api_version}/auth/login"
        data = {"email": email, "password": password}
        
        response = self.session.post(url, json=data)
        result = response.json()
        
        if result.get("success"):
            self.access_token = result["data"]["access_token"]
            self.refresh_token = result["data"].get("refresh_token")
            expires_in = result["data"].get("expires_in", 3600)
            self.token_expires_at = time.time() + expires_in - 300  # 提前5分钟刷新
            
            self.session.headers.update({
                "Authorization": f"Bearer {self.access_token}"
            })
            return True
        return False
    
    def _ensure_token_valid(self):
        """确保令牌有效"""
        if self.token_expires_at and time.time() > self.token_expires_at:
            self._refresh_token()
    
    def _refresh_token(self):
        """刷新令牌"""
        if not self.refresh_token:
            raise AuthenticationError("无刷新令牌")
        
        url = f"{self.base_url}/api/{self.api_version}/auth/refresh"
        data = {"refresh_token": self.refresh_token}
        
        response = self.session.post(url, json=data)
        result = response.json()
        
        if result.get("success"):
            self.access_token = result["data"]["access_token"]
            expires_in = result["data"].get("expires_in", 3600)
            self.token_expires_at = time.time() + expires_in - 300
            
            self.session.headers.update({
                "Authorization": f"Bearer {self.access_token}"
            })
        else:
            raise AuthenticationError("令牌刷新失败")

7.2 数据加密

# 敏感数据处理
import hashlib
import hmac

class SecureDataHandler:
    """安全数据处理器"""
    
    @staticmethod
    def hash_sensitive_data(data: str) -> str:
        """哈希敏感数据"""
        return hashlib.sha256(data.encode()).hexdigest()
    
    @staticmethod
    def verify_data_integrity(data: str, signature: str, secret: str) -> bool:
        """验证数据完整性"""
        expected_signature = hmac.new(
            secret.encode(),
            data.encode(),
            hashlib.sha256
        ).hexdigest()
        return hmac.compare_digest(signature, expected_signature)

总结

LangBot的API设计遵循现代RESTful架构原则，提供了完整、一致且易于使用的接口，支持开发者通过编程方式管理聊天机器人平台的各种资源。通过标准化的认证机制、统一的响应格式和完善的错误处理，LangBot API为开发者提供了良好的使用体验。

关键要点包括：

1. RESTful设计：采用资源导向的API设计，使用标准HTTP方法
2. 统一接口：提供一致的请求和响应格式
3. 安全认证：基于JWT的认证机制，确保API访问安全
4. 版本管理：支持API版本管理，保证向后兼容性
5. 完善文档：提供详细的API文档和使用示例
6. 错误处理：统一的错误响应格式，便于客户端处理

在实际使用中，建议遵循以下最佳实践：

1. 合理使用认证：正确管理访问令牌和刷新令牌
2. 错误处理：实现完善的错误处理机制
3. 日志记录：记录API调用日志便于调试和监控
4. 安全防护：对敏感数据进行加密处理
5. 性能优化：合理使用分页和缓存机制
6. 版本兼容：关注API版本更新，及时适配新功能

通过合理使用LangBot的API，开发者可以构建功能丰富、安全可靠的聊天机器人应用和管理工具。

参考资料

1. RESTful API设计指南
2. LangBot官方API文档
3. FastAPI官方文档
4. JWT官方文档
5. HTTP状态码参考