关于 openrouter-agent-migration
面向开发者的迁移指南,介绍如何将 Agent 功能从 `@openrouter/sdk` 转至 `@openrouter/agent`,并列出导入路径与独有功能。
主要功能
- 01迁移导入路径对照
- 02Agent 客户端与模型调用
- 03工具定义与停止条件
- 04消息格式转换器
- 05共享上下文与审批流程
适用场景
- 01将 Agent 项目迁至 `@openrouter/agent`
- 02在使用 Agent 功能时保留 SDK 功能
- 03为工具添加审批或共享上下文
安装
复制下面的命令,在终端中运行。
npx skills add https:/ / github.com/ openrouterteam/ skills --skill openrouter-agent-migration安装后在 Claude Code 中输入/openrouter-agent-migration确认已加载。
附带文件metadata.jsonREADME.md
详细介绍
从 @openrouter/sdk 迁移到 @openrouter/agent
Agent 功能(callModel、tool()、停止条件、格式转换器、流式处理辅助工具)已从 @openrouter/sdk 移至独立的 @openrouter/agent 包。@openrouter/agent 包包含自己的 OpenRouter 客户端类,因此在使用 Agent 功能时无需安装 @openrouter/sdk。
适用情况
如果你的代码从 @openrouter/sdk 导入以下任何内容,请进行迁移:
callModel,或使用client.callModel()tool()工厂函数- 停止条件:
stepCountIs、hasToolCall、maxCost、maxTokensUsed、finishReasonIs - 格式转换器:
fromClaudeMessages、toClaudeMessage、fromChatMessages、toChatMessage - 类型:
Tool、ToolWithExecute、ToolWithGenerator、ManualTool、CallModelInput、ModelResult
快速迁移
第 1 步:安装
npm install @openrouter/agent
如果你只使用 Agent 功能,可以移除 @openrouter/sdk:
npm uninstall @openrouter/sdk
npm install @openrouter/agent
如果你还使用非 Agent 的 SDK 功能(模型列表、聊天补全、额度、OAuth、API 密钥),请保留这两个包。
第 2 步:更新导入语句
OpenRouter 客户端类和 client.callModel() 用法完全相同,只需更改导入来源:
- import OpenRouter from '@openrouter/sdk';
+ import { OpenRouter } from '@openrouter/agent';
其余代码保持不变:
const client = new OpenRouter({ apiKey: process.env.OPENROUTER_API_KEY });
const result = client.callModel({
model: 'openai/gpt-5-nano',
input: 'Hello!',
});
const text = await result.getText();
完整导入映射
客户端与 callModel
| 旧版 | 新版 |
|---|---|
import OpenRouter from '@openrouter/sdk' | import { OpenRouter } from '@openrouter/agent' |
import OpenRouter, { tool, stepCountIs } from '@openrouter/sdk' | import { OpenRouter } from '@openrouter/agent'import { tool } from '@openrouter/agent/tool'import { stepCountIs } from '@openrouter/agent/stop-conditions' |
对于已有 OpenRouterCore 实例的高级使用场景,也可以使用独立的 callModel 函数:
import { callModel } from '@openrouter/agent/call-model';
// Requires an OpenRouterCore instance (from @openrouter/sdk/core)
const result = callModel(coreInstance, { model: 'openai/gpt-5-nano', input: 'Hello' });
对于大多数使用场景,建议使用上文所示的 client.callModel() 方法。
创建工具
| 旧版 | 新版 |
|---|---|
import { tool } from '@openrouter/sdk' | import { tool } from '@openrouter/agent/tool' |
停止条件
| 旧版 | 新版 |
|---|---|
import { stepCountIs, hasToolCall, maxCost } from '@openrouter/sdk' | import { stepCountIs, hasToolCall, maxCost } from '@openrouter/agent/stop-conditions' |
import { maxTokensUsed, finishReasonIs } from '@openrouter/sdk' | import { maxTokensUsed, finishReasonIs } from '@openrouter/agent/stop-conditions' |
类型
| 旧版 | 新版 |
|---|---|
import type { Tool, ToolWithExecute, ToolWithGenerator, ManualTool } from '@openrouter/sdk/lib/tool-types' | import type { Tool, ToolWithExecute, ToolWithGenerator, ManualTool } from '@openrouter/agent/tool-types' |
import type { CallModelInput } from '@openrouter/sdk/lib/async-params' | import type { CallModelInput } from '@openrouter/agent/async-params' |
import { ModelResult } from '@openrouter/sdk/lib/model-result' | import { ModelResult } from '@openrouter/agent/model-result' |
格式转换器
| 旧版 | 新版 |
|---|---|
import { fromClaudeMessages, toClaudeMessage } from '@openrouter/sdk' | import { fromClaudeMessages, toClaudeMessage } from '@openrouter/agent' |
import { fromChatMessages, toChatMessage } from '@openrouter/sdk' | import { fromChatMessages, toChatMessage } from '@openrouter/agent' |
类型守卫
| 旧版 | 新版 |
|---|---|
import { hasExecuteFunction, isGeneratorTool, isRegularExecuteTool } from '@openrouter/sdk' | import { hasExecuteFunction, isGeneratorTool, isRegularExecuteTool } from '@openrouter/agent/tool-types' |
迁移前后示例
迁移前(使用 @openrouter/sdk)
import OpenRouter, { tool, stepCountIs, hasToolCall } from '@openrouter/sdk';
import { z } from 'zod';
const client = new OpenRouter({
apiKey: process.env.OPENROUTER_API_KEY,
});
const searchTool = tool({
name: 'web_search',
description: 'Search the web',
inputSchema: z.object({ query: z.string() }),
outputSchema: z.object({ results: z.array(z.string()) }),
execute: async ({ query }) => {
return { results: ['Result 1', 'Result 2'] };
},
});
const finishTool = tool({
name: 'finish',
description: 'Complete the task',
inputSchema: z.object({ answer: z.string() }),
execute: async ({ answer }) => ({ answer }),
});
const result = client.callModel({
model: 'openai/gpt-5-nano',
instructions: 'You are a research assistant.',
input: 'What are the latest AI developments?',
tools: [searchTool, finishTool],
stopWhen: [stepCountIs(10), hasToolCall('finish')],
});
const text = await result.getText();
迁移后(使用 @openrouter/agent)
import { OpenRouter } from '@openrouter/agent';
import { tool } from '@openrouter/agent/tool';
import { stepCountIs, hasToolCall } from '@openrouter/agent/stop-conditions';
import { z } from 'zod';
const client = new OpenRouter({
apiKey: process.env.OPENROUTER_API_KEY,
});
const searchTool = tool({
name: 'web_search',
description: 'Search the web',
inputSchema: z.object({ query: z.string() }),
outputSchema: z.object({ results: z.array(z.string()) }),
execute: async ({ query }) => {
return { results: ['Result 1', 'Result 2'] };
},
});
const finishTool = tool({
name: 'finish',
description: 'Complete the task',
inputSchema: z.object({ answer: z.string() }),
execute: async ({ answer }) => ({ answer }),
});
const result = client.callModel({
model: 'openai/gpt-5-nano',
instructions: 'You are a research assistant.',
input: 'What are the latest AI developments?',
tools: [searchTool, finishTool],
stopWhen: [stepCountIs(10), hasToolCall('finish')],
});
const text = await result.getText();
唯一的改动是顶部的三行导入语句。
何时保留 @openrouter/sdk
如果你使用以下任何非 Agent 功能,请保留已安装的 @openrouter/sdk:
| 功能 | 调用方式 |
|---|---|
| 模型列表 | client.models.list() |
| 聊天补全 | client.chat.send() |
| 旧版补全 | client.completions.generate() |
| 用量分析 | client.analytics.getUserActivity() |
| 额度余额 | client.credits.getCredits() |
| API 密钥管理 | client.apiKeys.list()、.create() 等 |
| OAuth PKCE 流程 | client.oAuth.createAuthCode()、.exchangeAuthCodeForAPIKey() |
对于混合项目,使用 @openrouter/sdk 实现这些功能,并使用 @openrouter/agent 实现 Agent 功能:
import OpenRouter from '@openrouter/sdk'; // SDK client for models, credits, etc.
import { OpenRouter as Agent } from '@openrouter/agent'; // Agent client for callModel
import { tool } from '@openrouter/agent/tool';
import { stepCountIs } from '@openrouter/agent/stop-conditions';
// Use SDK client for non-agent features
const sdkClient = new OpenRouter({ apiKey: process.env.OPENROUTER_API_KEY });
const models = await sdkClient.models.list();
const credits = await sdkClient.credits.getCredits();
// Use Agent client for callModel
const agent = new Agent({ apiKey: process.env.OPENROUTER_API_KEY });
const result = agent.callModel({
model: 'openai/gpt-5-nano',
input: 'Hello!',
tools: [myTool],
stopWhen: stepCountIs(5),
});
@openrouter/agent 的新功能
这些功能仅在 @openrouter/agent 中提供,@openrouter/sdk 中没有:
共享上下文架构
对话中所有工具之间类型安全的共享状态:
import { OpenRouter } from '@openrouter/agent';
import { z } from 'zod';
const client = new OpenRouter({ apiKey: '...' });
const result = client.callModel({
model: 'openai/gpt-5-nano',
input: 'Process this data',
sharedContextSchema: z.object({
userId: z.string(),
sessionData: z.record(z.unknown()),
}),
context: {
shared: { userId: '123', sessionData: {} },
},
tools: [myTool],
});
工具上下文
工具可以声明自己的类型化上下文并访问共享上下文:
import { tool } from '@openrouter/agent/tool';
import { z } from 'zod';
const myTool = tool({
name: 'my_tool',
description: 'A tool with context',
inputSchema: z.object({ query: z.string() }),
contextSchema: z.object({ apiKey: z.string() }),
execute: async (params, context) => {
// context.local — this tool's own context
// context.shared — shared context across all tools
// context.setContext({ ... }) — update this tool's context
// context.setSharedContext({ ... }) — update shared context
return { result: 'done' };
},
});
工具审批流程
要求用户在执行工具前审批:
const dangerousTool = tool({
name: 'delete_file',
description: 'Delete a file',
inputSchema: z.object({ path: z.string() }),
requireApproval: true, // or a function: (toolCall, context) => boolean
execute: async ({ path }) => { /* ... */ },
});
轮次生命周期回调
const result = client.callModel({
model: 'openai/gpt-5-nano',
input: 'Complex task',
tools: [myTool],
onTurnStart: async (context) => {
console.log(`Starting turn ${context.numberOfTurns}`);
},
onTurnEnd: async (context, response) => {
console.log(`Turn ${context.numberOfTurns} complete`);
},
});
所有子路径导出
@openrouter/agent 提供精细化的子路径导入:
| 子路径 | 导出内容 |
|---|---|
@openrouter/agent | 汇总入口:包含以下所有导出 |
@openrouter/agent/client | OpenRouter 类 |
@openrouter/agent/call-model | callModel 独立函数 |
@openrouter/agent/tool | tool() 工厂函数 |
@openrouter/agent/tool-types | Tool、ToolWithExecute、ToolWithGenerator、ManualTool、类型守卫 |
@openrouter/agent/stop-conditions | stepCountIs、hasToolCall、maxCost、maxTokensUsed、finishReasonIs |
@openrouter/agent/model-result | ModelResult 响应包装器 |
@openrouter/agent/async-params | CallModelInput、hasAsyncFunctions、resolveAsyncFunctions |
@openrouter/agent/anthropic-compat | fromClaudeMessages、toClaudeMessage |
@openrouter/agent/chat-compat | fromChatMessages、toChatMessage |
@openrouter/agent/conversation-state | createInitialState、updateState、appendToMessages |
@openrouter/agent/next-turn-params | nextTurnParams 工具函数 |
@openrouter/agent/stream-transformers | extractUnsupportedContent、getUnsupportedContentSummary |
@openrouter/agent/tool-context | buildToolExecuteContext、ToolContextStore |
@openrouter/agent/tool-event-broadcaster | ToolEventBroadcaster |
@openrouter/agent/turn-context | buildTurnContext |